Class: Aws::Glue::Client

Inherits:

Seahorse::Client::Base

• Object
• Seahorse::Client::Base
• Aws::Glue::Client

Includes:

ClientStubs

Defined in:

lib/aws-sdk-glue/client.rb

Overview

An API client for Glue. To construct a client, you need to configure a ‘:region` and `:credentials`.

client = Aws::Glue::Client.new(
  region: region_name,
  credentials: credentials,
  # ...
)

For details on configuring region and credentials see the [developer guide](/sdk-for-ruby/v3/developer-guide/setup-config.html).

See #initialize for a full list of supported configuration options.

Class Attribute Summary

• .identifier ⇒ Object readonly private

API Operations

• #batch_create_partition(params = {}) ⇒ Types::BatchCreatePartitionResponse

  Creates one or more partitions in a batch operation.

• #batch_delete_connection(params = {}) ⇒ Types::BatchDeleteConnectionResponse

  Deletes a list of connection definitions from the Data Catalog.

• #batch_delete_partition(params = {}) ⇒ Types::BatchDeletePartitionResponse

  Deletes one or more partitions in a batch operation.

• #batch_delete_table(params = {}) ⇒ Types::BatchDeleteTableResponse

  Deletes multiple tables at once.

• #batch_delete_table_version(params = {}) ⇒ Types::BatchDeleteTableVersionResponse

  Deletes a specified batch of versions of a table.

• #batch_get_blueprints(params = {}) ⇒ Types::BatchGetBlueprintsResponse

  Retrieves information about a list of blueprints.

• #batch_get_crawlers(params = {}) ⇒ Types::BatchGetCrawlersResponse

  Returns a list of resource metadata for a given list of crawler names.

• #batch_get_custom_entity_types(params = {}) ⇒ Types::BatchGetCustomEntityTypesResponse

  Retrieves the details for the custom patterns specified by a list of names.

• #batch_get_data_quality_result(params = {}) ⇒ Types::BatchGetDataQualityResultResponse

  Retrieves a list of data quality results for the specified result IDs.

• #batch_get_dev_endpoints(params = {}) ⇒ Types::BatchGetDevEndpointsResponse

  Returns a list of resource metadata for a given list of development endpoint names.

• #batch_get_jobs(params = {}) ⇒ Types::BatchGetJobsResponse

  Returns a list of resource metadata for a given list of job names.

• #batch_get_partition(params = {}) ⇒ Types::BatchGetPartitionResponse

  Retrieves partitions in a batch request.

• #batch_get_table_optimizer(params = {}) ⇒ Types::BatchGetTableOptimizerResponse

  Returns the configuration for the specified table optimizers.

• #batch_get_triggers(params = {}) ⇒ Types::BatchGetTriggersResponse

  Returns a list of resource metadata for a given list of trigger names.

• #batch_get_workflows(params = {}) ⇒ Types::BatchGetWorkflowsResponse

  Returns a list of resource metadata for a given list of workflow names.

• #batch_stop_job_run(params = {}) ⇒ Types::BatchStopJobRunResponse

  Stops one or more job runs for a specified job definition.

• #batch_update_partition(params = {}) ⇒ Types::BatchUpdatePartitionResponse

  Updates one or more partitions in a batch operation.

• #cancel_data_quality_rule_recommendation_run(params = {}) ⇒ Struct

  Cancels the specified recommendation run that was being used to generate rules.

• #cancel_data_quality_ruleset_evaluation_run(params = {}) ⇒ Struct

  Cancels a run where a ruleset is being evaluated against a data source.

• #cancel_ml_task_run(params = {}) ⇒ Types::CancelMLTaskRunResponse

  Cancels (stops) a task run.

• #cancel_statement(params = {}) ⇒ Struct

  Cancels the statement.

• #check_schema_version_validity(params = {}) ⇒ Types::CheckSchemaVersionValidityResponse

  Validates the supplied schema.

• #create_blueprint(params = {}) ⇒ Types::CreateBlueprintResponse

  Registers a blueprint with Glue.

• #create_classifier(params = {}) ⇒ Struct

  Creates a classifier in the user’s account.

• #create_connection(params = {}) ⇒ Types::CreateConnectionResponse

  Creates a connection definition in the Data Catalog.

• #create_crawler(params = {}) ⇒ Struct

  Creates a new crawler with specified targets, role, configuration, and optional schedule.

• #create_custom_entity_type(params = {}) ⇒ Types::CreateCustomEntityTypeResponse

  Creates a custom pattern that is used to detect sensitive data across the columns and rows of your structured data.

• #create_data_quality_ruleset(params = {}) ⇒ Types::CreateDataQualityRulesetResponse

  Creates a data quality ruleset with DQDL rules applied to a specified Glue table.

• #create_database(params = {}) ⇒ Struct

  Creates a new database in a Data Catalog.

• #create_dev_endpoint(params = {}) ⇒ Types::CreateDevEndpointResponse

  Creates a new development endpoint.

• #create_job(params = {}) ⇒ Types::CreateJobResponse

  Creates a new job definition.

• #create_ml_transform(params = {}) ⇒ Types::CreateMLTransformResponse

  Creates an Glue machine learning transform.

• #create_partition(params = {}) ⇒ Struct

  Creates a new partition.

• #create_partition_index(params = {}) ⇒ Struct

  Creates a specified partition index in an existing table.

• #create_registry(params = {}) ⇒ Types::CreateRegistryResponse

  Creates a new registry which may be used to hold a collection of schemas.

• #create_schema(params = {}) ⇒ Types::CreateSchemaResponse

  Creates a new schema set and registers the schema definition.

• #create_script(params = {}) ⇒ Types::CreateScriptResponse

  Transforms a directed acyclic graph (DAG) into code.

• #create_security_configuration(params = {}) ⇒ Types::CreateSecurityConfigurationResponse

  Creates a new security configuration.

• #create_session(params = {}) ⇒ Types::CreateSessionResponse

  Creates a new session.

• #create_table(params = {}) ⇒ Struct

  Creates a new table definition in the Data Catalog.

• #create_table_optimizer(params = {}) ⇒ Struct

  Creates a new table optimizer for a specific function.

• #create_trigger(params = {}) ⇒ Types::CreateTriggerResponse

  Creates a new trigger.

• #create_usage_profile(params = {}) ⇒ Types::CreateUsageProfileResponse

  Creates an Glue usage profile.

• #create_user_defined_function(params = {}) ⇒ Struct

  Creates a new function definition in the Data Catalog.

• #create_workflow(params = {}) ⇒ Types::CreateWorkflowResponse

  Creates a new workflow.

• #delete_blueprint(params = {}) ⇒ Types::DeleteBlueprintResponse

  Deletes an existing blueprint.

• #delete_classifier(params = {}) ⇒ Struct

  Removes a classifier from the Data Catalog.

• #delete_column_statistics_for_partition(params = {}) ⇒ Struct

  Delete the partition column statistics of a column.

• #delete_column_statistics_for_table(params = {}) ⇒ Struct

  Retrieves table statistics of columns.

• #delete_connection(params = {}) ⇒ Struct

  Deletes a connection from the Data Catalog.

• #delete_crawler(params = {}) ⇒ Struct

  Removes a specified crawler from the Glue Data Catalog, unless the crawler state is ‘RUNNING`.

• #delete_custom_entity_type(params = {}) ⇒ Types::DeleteCustomEntityTypeResponse

  Deletes a custom pattern by specifying its name.

• #delete_data_quality_ruleset(params = {}) ⇒ Struct

  Deletes a data quality ruleset.

• #delete_database(params = {}) ⇒ Struct

  Removes a specified database from a Data Catalog.

• #delete_dev_endpoint(params = {}) ⇒ Struct

  Deletes a specified development endpoint.

• #delete_job(params = {}) ⇒ Types::DeleteJobResponse

  Deletes a specified job definition.

• #delete_ml_transform(params = {}) ⇒ Types::DeleteMLTransformResponse

  Deletes an Glue machine learning transform.

• #delete_partition(params = {}) ⇒ Struct

  Deletes a specified partition.

• #delete_partition_index(params = {}) ⇒ Struct

  Deletes a specified partition index from an existing table.

• #delete_registry(params = {}) ⇒ Types::DeleteRegistryResponse

  Delete the entire registry including schema and all of its versions.

• #delete_resource_policy(params = {}) ⇒ Struct

  Deletes a specified policy.

• #delete_schema(params = {}) ⇒ Types::DeleteSchemaResponse

  Deletes the entire schema set, including the schema set and all of its versions.

• #delete_schema_versions(params = {}) ⇒ Types::DeleteSchemaVersionsResponse

  Remove versions from the specified schema.

• #delete_security_configuration(params = {}) ⇒ Struct

  Deletes a specified security configuration.

• #delete_session(params = {}) ⇒ Types::DeleteSessionResponse

  Deletes the session.

• #delete_table(params = {}) ⇒ Struct

  Removes a table definition from the Data Catalog.

• #delete_table_optimizer(params = {}) ⇒ Struct

  Deletes an optimizer and all associated metadata for a table.

• #delete_table_version(params = {}) ⇒ Struct

  Deletes a specified version of a table.

• #delete_trigger(params = {}) ⇒ Types::DeleteTriggerResponse

  Deletes a specified trigger.

• #delete_usage_profile(params = {}) ⇒ Struct

  Deletes the Glue specified usage profile.

• #delete_user_defined_function(params = {}) ⇒ Struct

  Deletes an existing function definition from the Data Catalog.

• #delete_workflow(params = {}) ⇒ Types::DeleteWorkflowResponse

  Deletes a workflow.

• #get_blueprint(params = {}) ⇒ Types::GetBlueprintResponse

  Retrieves the details of a blueprint.

• #get_blueprint_run(params = {}) ⇒ Types::GetBlueprintRunResponse

  Retrieves the details of a blueprint run.

• #get_blueprint_runs(params = {}) ⇒ Types::GetBlueprintRunsResponse

  Retrieves the details of blueprint runs for a specified blueprint.

• #get_catalog_import_status(params = {}) ⇒ Types::GetCatalogImportStatusResponse

  Retrieves the status of a migration operation.

• #get_classifier(params = {}) ⇒ Types::GetClassifierResponse

  Retrieve a classifier by name.

• #get_classifiers(params = {}) ⇒ Types::GetClassifiersResponse

  Lists all classifier objects in the Data Catalog.

• #get_column_statistics_for_partition(params = {}) ⇒ Types::GetColumnStatisticsForPartitionResponse

  Retrieves partition statistics of columns.

• #get_column_statistics_for_table(params = {}) ⇒ Types::GetColumnStatisticsForTableResponse

  Retrieves table statistics of columns.

• #get_column_statistics_task_run(params = {}) ⇒ Types::GetColumnStatisticsTaskRunResponse

  Get the associated metadata/information for a task run, given a task run ID.

• #get_column_statistics_task_runs(params = {}) ⇒ Types::GetColumnStatisticsTaskRunsResponse

  Retrieves information about all runs associated with the specified table.

• #get_connection(params = {}) ⇒ Types::GetConnectionResponse

  Retrieves a connection definition from the Data Catalog.

• #get_connections(params = {}) ⇒ Types::GetConnectionsResponse

  Retrieves a list of connection definitions from the Data Catalog.

• #get_crawler(params = {}) ⇒ Types::GetCrawlerResponse

  Retrieves metadata for a specified crawler.

• #get_crawler_metrics(params = {}) ⇒ Types::GetCrawlerMetricsResponse

  Retrieves metrics about specified crawlers.

• #get_crawlers(params = {}) ⇒ Types::GetCrawlersResponse

  Retrieves metadata for all crawlers defined in the customer account.

• #get_custom_entity_type(params = {}) ⇒ Types::GetCustomEntityTypeResponse

  Retrieves the details of a custom pattern by specifying its name.

• #get_data_catalog_encryption_settings(params = {}) ⇒ Types::GetDataCatalogEncryptionSettingsResponse

  Retrieves the security configuration for a specified catalog.

• #get_data_quality_result(params = {}) ⇒ Types::GetDataQualityResultResponse

  Retrieves the result of a data quality rule evaluation.

• #get_data_quality_rule_recommendation_run(params = {}) ⇒ Types::GetDataQualityRuleRecommendationRunResponse

  Gets the specified recommendation run that was used to generate rules.

• #get_data_quality_ruleset(params = {}) ⇒ Types::GetDataQualityRulesetResponse

  Returns an existing ruleset by identifier or name.

• #get_data_quality_ruleset_evaluation_run(params = {}) ⇒ Types::GetDataQualityRulesetEvaluationRunResponse

  Retrieves a specific run where a ruleset is evaluated against a data source.

• #get_database(params = {}) ⇒ Types::GetDatabaseResponse

  Retrieves the definition of a specified database.

• #get_databases(params = {}) ⇒ Types::GetDatabasesResponse

  Retrieves all databases defined in a given Data Catalog.

• #get_dataflow_graph(params = {}) ⇒ Types::GetDataflowGraphResponse

  Transforms a Python script into a directed acyclic graph (DAG).

• #get_dev_endpoint(params = {}) ⇒ Types::GetDevEndpointResponse

  Retrieves information about a specified development endpoint.

• #get_dev_endpoints(params = {}) ⇒ Types::GetDevEndpointsResponse

  Retrieves all the development endpoints in this Amazon Web Services account.

• #get_job(params = {}) ⇒ Types::GetJobResponse

  Retrieves an existing job definition.

• #get_job_bookmark(params = {}) ⇒ Types::GetJobBookmarkResponse

  Returns information on a job bookmark entry.

• #get_job_run(params = {}) ⇒ Types::GetJobRunResponse

  Retrieves the metadata for a given job run.

• #get_job_runs(params = {}) ⇒ Types::GetJobRunsResponse

  Retrieves metadata for all runs of a given job definition.

• #get_jobs(params = {}) ⇒ Types::GetJobsResponse

  Retrieves all current job definitions.

• #get_mapping(params = {}) ⇒ Types::GetMappingResponse

  Creates mappings.

• #get_ml_task_run(params = {}) ⇒ Types::GetMLTaskRunResponse

  Gets details for a specific task run on a machine learning transform.

• #get_ml_task_runs(params = {}) ⇒ Types::GetMLTaskRunsResponse

  Gets a list of runs for a machine learning transform.

• #get_ml_transform(params = {}) ⇒ Types::GetMLTransformResponse

  Gets an Glue machine learning transform artifact and all its corresponding metadata.

• #get_ml_transforms(params = {}) ⇒ Types::GetMLTransformsResponse

  Gets a sortable, filterable list of existing Glue machine learning transforms.

• #get_partition(params = {}) ⇒ Types::GetPartitionResponse

  Retrieves information about a specified partition.

• #get_partition_indexes(params = {}) ⇒ Types::GetPartitionIndexesResponse

  Retrieves the partition indexes associated with a table.

• #get_partitions(params = {}) ⇒ Types::GetPartitionsResponse

  Retrieves information about the partitions in a table.

• #get_plan(params = {}) ⇒ Types::GetPlanResponse

  Gets code to perform a specified mapping.

• #get_registry(params = {}) ⇒ Types::GetRegistryResponse

  Describes the specified registry in detail.

• #get_resource_policies(params = {}) ⇒ Types::GetResourcePoliciesResponse

  Retrieves the resource policies set on individual resources by Resource Access Manager during cross-account permission grants.

• #get_resource_policy(params = {}) ⇒ Types::GetResourcePolicyResponse

  Retrieves a specified resource policy.

• #get_schema(params = {}) ⇒ Types::GetSchemaResponse

  Describes the specified schema in detail.

• #get_schema_by_definition(params = {}) ⇒ Types::GetSchemaByDefinitionResponse

  Retrieves a schema by the ‘SchemaDefinition`.

• #get_schema_version(params = {}) ⇒ Types::GetSchemaVersionResponse

  Get the specified schema by its unique ID assigned when a version of the schema is created or registered.

• #get_schema_versions_diff(params = {}) ⇒ Types::GetSchemaVersionsDiffResponse

  Fetches the schema version difference in the specified difference type between two stored schema versions in the Schema Registry.

• #get_security_configuration(params = {}) ⇒ Types::GetSecurityConfigurationResponse

  Retrieves a specified security configuration.

• #get_security_configurations(params = {}) ⇒ Types::GetSecurityConfigurationsResponse

  Retrieves a list of all security configurations.

• #get_session(params = {}) ⇒ Types::GetSessionResponse

  Retrieves the session.

• #get_statement(params = {}) ⇒ Types::GetStatementResponse

  Retrieves the statement.

• #get_table(params = {}) ⇒ Types::GetTableResponse

  Retrieves the ‘Table` definition in a Data Catalog for a specified table.

• #get_table_optimizer(params = {}) ⇒ Types::GetTableOptimizerResponse

  Returns the configuration of all optimizers associated with a specified table.

• #get_table_version(params = {}) ⇒ Types::GetTableVersionResponse

  Retrieves a specified version of a table.

• #get_table_versions(params = {}) ⇒ Types::GetTableVersionsResponse

  Retrieves a list of strings that identify available versions of a specified table.

• #get_tables(params = {}) ⇒ Types::GetTablesResponse

  Retrieves the definitions of some or all of the tables in a given ‘Database`.

• #get_tags(params = {}) ⇒ Types::GetTagsResponse

  Retrieves a list of tags associated with a resource.

• #get_trigger(params = {}) ⇒ Types::GetTriggerResponse

  Retrieves the definition of a trigger.

• #get_triggers(params = {}) ⇒ Types::GetTriggersResponse

  Gets all the triggers associated with a job.

• #get_unfiltered_partition_metadata(params = {}) ⇒ Types::GetUnfilteredPartitionMetadataResponse

  Retrieves partition metadata from the Data Catalog that contains unfiltered metadata.

• #get_unfiltered_partitions_metadata(params = {}) ⇒ Types::GetUnfilteredPartitionsMetadataResponse

  Retrieves partition metadata from the Data Catalog that contains unfiltered metadata.

• #get_unfiltered_table_metadata(params = {}) ⇒ Types::GetUnfilteredTableMetadataResponse

  Allows a third-party analytical engine to retrieve unfiltered table metadata from the Data Catalog.

• #get_usage_profile(params = {}) ⇒ Types::GetUsageProfileResponse

  Retrieves information about the specified Glue usage profile.

• #get_user_defined_function(params = {}) ⇒ Types::GetUserDefinedFunctionResponse

  Retrieves a specified function definition from the Data Catalog.

• #get_user_defined_functions(params = {}) ⇒ Types::GetUserDefinedFunctionsResponse

  Retrieves multiple function definitions from the Data Catalog.

• #get_workflow(params = {}) ⇒ Types::GetWorkflowResponse

  Retrieves resource metadata for a workflow.

• #get_workflow_run(params = {}) ⇒ Types::GetWorkflowRunResponse

  Retrieves the metadata for a given workflow run.

• #get_workflow_run_properties(params = {}) ⇒ Types::GetWorkflowRunPropertiesResponse

  Retrieves the workflow run properties which were set during the run.

• #get_workflow_runs(params = {}) ⇒ Types::GetWorkflowRunsResponse

  Retrieves metadata for all runs of a given workflow.

• #import_catalog_to_glue(params = {}) ⇒ Struct

  Imports an existing Amazon Athena Data Catalog to Glue.

• #list_blueprints(params = {}) ⇒ Types::ListBlueprintsResponse

  Lists all the blueprint names in an account.

• #list_column_statistics_task_runs(params = {}) ⇒ Types::ListColumnStatisticsTaskRunsResponse

  List all task runs for a particular account.

• #list_crawlers(params = {}) ⇒ Types::ListCrawlersResponse

  Retrieves the names of all crawler resources in this Amazon Web Services account, or the resources with the specified tag.

• #list_crawls(params = {}) ⇒ Types::ListCrawlsResponse

  Returns all the crawls of a specified crawler.

• #list_custom_entity_types(params = {}) ⇒ Types::ListCustomEntityTypesResponse

  Lists all the custom patterns that have been created.

• #list_data_quality_results(params = {}) ⇒ Types::ListDataQualityResultsResponse

  Returns all data quality execution results for your account.

• #list_data_quality_rule_recommendation_runs(params = {}) ⇒ Types::ListDataQualityRuleRecommendationRunsResponse

  Lists the recommendation runs meeting the filter criteria.

• #list_data_quality_ruleset_evaluation_runs(params = {}) ⇒ Types::ListDataQualityRulesetEvaluationRunsResponse

  Lists all the runs meeting the filter criteria, where a ruleset is evaluated against a data source.

• #list_data_quality_rulesets(params = {}) ⇒ Types::ListDataQualityRulesetsResponse

  Returns a paginated list of rulesets for the specified list of Glue tables.

• #list_dev_endpoints(params = {}) ⇒ Types::ListDevEndpointsResponse

  Retrieves the names of all ‘DevEndpoint` resources in this Amazon Web Services account, or the resources with the specified tag.

• #list_jobs(params = {}) ⇒ Types::ListJobsResponse

  Retrieves the names of all job resources in this Amazon Web Services account, or the resources with the specified tag.

• #list_ml_transforms(params = {}) ⇒ Types::ListMLTransformsResponse

  Retrieves a sortable, filterable list of existing Glue machine learning transforms in this Amazon Web Services account, or the resources with the specified tag.

• #list_registries(params = {}) ⇒ Types::ListRegistriesResponse

  Returns a list of registries that you have created, with minimal registry information.

• #list_schema_versions(params = {}) ⇒ Types::ListSchemaVersionsResponse

  Returns a list of schema versions that you have created, with minimal information.

• #list_schemas(params = {}) ⇒ Types::ListSchemasResponse

  Returns a list of schemas with minimal details.

• #list_sessions(params = {}) ⇒ Types::ListSessionsResponse

  Retrieve a list of sessions.

• #list_statements(params = {}) ⇒ Types::ListStatementsResponse

  Lists statements for the session.

• #list_table_optimizer_runs(params = {}) ⇒ Types::ListTableOptimizerRunsResponse

  Lists the history of previous optimizer runs for a specific table.

• #list_triggers(params = {}) ⇒ Types::ListTriggersResponse

  Retrieves the names of all trigger resources in this Amazon Web Services account, or the resources with the specified tag.

• #list_usage_profiles(params = {}) ⇒ Types::ListUsageProfilesResponse

  List all the Glue usage profiles.

• #list_workflows(params = {}) ⇒ Types::ListWorkflowsResponse

  Lists names of workflows created in the account.

• #put_data_catalog_encryption_settings(params = {}) ⇒ Struct

  Sets the security configuration for a specified catalog.

• #put_resource_policy(params = {}) ⇒ Types::PutResourcePolicyResponse

  Sets the Data Catalog resource policy for access control.

• #put_schema_version_metadata(params = {}) ⇒ Types::PutSchemaVersionMetadataResponse

  Puts the metadata key value pair for a specified schema version ID.

• #put_workflow_run_properties(params = {}) ⇒ Struct

  Puts the specified workflow run properties for the given workflow run.

• #query_schema_version_metadata(params = {}) ⇒ Types::QuerySchemaVersionMetadataResponse

  Queries for the schema version metadata information.

• #register_schema_version(params = {}) ⇒ Types::RegisterSchemaVersionResponse

  Adds a new version to the existing schema.

• #remove_schema_version_metadata(params = {}) ⇒ Types::RemoveSchemaVersionMetadataResponse

  Removes a key value pair from the schema version metadata for the specified schema version ID.

• #reset_job_bookmark(params = {}) ⇒ Types::ResetJobBookmarkResponse

  Resets a bookmark entry.

• #resume_workflow_run(params = {}) ⇒ Types::ResumeWorkflowRunResponse

  Restarts selected nodes of a previous partially completed workflow run and resumes the workflow run.

• #run_statement(params = {}) ⇒ Types::RunStatementResponse

  Executes the statement.

• #search_tables(params = {}) ⇒ Types::SearchTablesResponse

  Searches a set of tables based on properties in the table metadata as well as on the parent database.

• #start_blueprint_run(params = {}) ⇒ Types::StartBlueprintRunResponse

  Starts a new run of the specified blueprint.

• #start_column_statistics_task_run(params = {}) ⇒ Types::StartColumnStatisticsTaskRunResponse

  Starts a column statistics task run, for a specified table and columns.

• #start_crawler(params = {}) ⇒ Struct

  Starts a crawl using the specified crawler, regardless of what is scheduled.

• #start_crawler_schedule(params = {}) ⇒ Struct

  Changes the schedule state of the specified crawler to ‘SCHEDULED`, unless the crawler is already running or the schedule state is already `SCHEDULED`.

• #start_data_quality_rule_recommendation_run(params = {}) ⇒ Types::StartDataQualityRuleRecommendationRunResponse

  Starts a recommendation run that is used to generate rules when you don’t know what rules to write.

• #start_data_quality_ruleset_evaluation_run(params = {}) ⇒ Types::StartDataQualityRulesetEvaluationRunResponse

  Once you have a ruleset definition (either recommended or your own), you call this operation to evaluate the ruleset against a data source (Glue table).

• #start_export_labels_task_run(params = {}) ⇒ Types::StartExportLabelsTaskRunResponse

  Begins an asynchronous task to export all labeled data for a particular transform.

• #start_import_labels_task_run(params = {}) ⇒ Types::StartImportLabelsTaskRunResponse

  Enables you to provide additional labels (examples of truth) to be used to teach the machine learning transform and improve its quality.

• #start_job_run(params = {}) ⇒ Types::StartJobRunResponse

  Starts a job run using a job definition.

• #start_ml_evaluation_task_run(params = {}) ⇒ Types::StartMLEvaluationTaskRunResponse

  Starts a task to estimate the quality of the transform.

• #start_ml_labeling_set_generation_task_run(params = {}) ⇒ Types::StartMLLabelingSetGenerationTaskRunResponse

  Starts the active learning workflow for your machine learning transform to improve the transform’s quality by generating label sets and adding labels.

• #start_trigger(params = {}) ⇒ Types::StartTriggerResponse

  Starts an existing trigger.

• #start_workflow_run(params = {}) ⇒ Types::StartWorkflowRunResponse

  Starts a new run of the specified workflow.

• #stop_column_statistics_task_run(params = {}) ⇒ Struct

  Stops a task run for the specified table.

• #stop_crawler(params = {}) ⇒ Struct

  If the specified crawler is running, stops the crawl.

• #stop_crawler_schedule(params = {}) ⇒ Struct

  Sets the schedule state of the specified crawler to ‘NOT_SCHEDULED`, but does not stop the crawler if it is already running.

• #stop_session(params = {}) ⇒ Types::StopSessionResponse

  Stops the session.

• #stop_trigger(params = {}) ⇒ Types::StopTriggerResponse

  Stops a specified trigger.

• #stop_workflow_run(params = {}) ⇒ Struct

  Stops the execution of the specified workflow run.

• #tag_resource(params = {}) ⇒ Struct

  Adds tags to a resource.

• #untag_resource(params = {}) ⇒ Struct

  Removes tags from a resource.

• #update_blueprint(params = {}) ⇒ Types::UpdateBlueprintResponse

  Updates a registered blueprint.

• #update_classifier(params = {}) ⇒ Struct

  Modifies an existing classifier (a ‘GrokClassifier`, an `XMLClassifier`, a `JsonClassifier`, or a `CsvClassifier`, depending on which field is present).

• #update_column_statistics_for_partition(params = {}) ⇒ Types::UpdateColumnStatisticsForPartitionResponse

  Creates or updates partition statistics of columns.

• #update_column_statistics_for_table(params = {}) ⇒ Types::UpdateColumnStatisticsForTableResponse

  Creates or updates table statistics of columns.

• #update_connection(params = {}) ⇒ Struct

  Updates a connection definition in the Data Catalog.

• #update_crawler(params = {}) ⇒ Struct

  Updates a crawler.

• #update_crawler_schedule(params = {}) ⇒ Struct

  Updates the schedule of a crawler using a ‘cron` expression.

• #update_data_quality_ruleset(params = {}) ⇒ Types::UpdateDataQualityRulesetResponse

  Updates the specified data quality ruleset.

• #update_database(params = {}) ⇒ Struct

  Updates an existing database definition in a Data Catalog.

• #update_dev_endpoint(params = {}) ⇒ Struct

  Updates a specified development endpoint.

• #update_job(params = {}) ⇒ Types::UpdateJobResponse

  Updates an existing job definition.

• #update_job_from_source_control(params = {}) ⇒ Types::UpdateJobFromSourceControlResponse

  Synchronizes a job from the source control repository.

• #update_ml_transform(params = {}) ⇒ Types::UpdateMLTransformResponse

  Updates an existing machine learning transform.

• #update_partition(params = {}) ⇒ Struct

  Updates a partition.

• #update_registry(params = {}) ⇒ Types::UpdateRegistryResponse

  Updates an existing registry which is used to hold a collection of schemas.

• #update_schema(params = {}) ⇒ Types::UpdateSchemaResponse

  Updates the description, compatibility setting, or version checkpoint for a schema set.

• #update_source_control_from_job(params = {}) ⇒ Types::UpdateSourceControlFromJobResponse

  Synchronizes a job to the source control repository.

• #update_table(params = {}) ⇒ Struct

  Updates a metadata table in the Data Catalog.

• #update_table_optimizer(params = {}) ⇒ Struct

  Updates the configuration for an existing table optimizer.

• #update_trigger(params = {}) ⇒ Types::UpdateTriggerResponse

  Updates a trigger definition.

• #update_usage_profile(params = {}) ⇒ Types::UpdateUsageProfileResponse

  Update an Glue usage profile.

• #update_user_defined_function(params = {}) ⇒ Struct

  Updates an existing function definition in the Data Catalog.

• #update_workflow(params = {}) ⇒ Types::UpdateWorkflowResponse

  Updates an existing workflow.

Class Method Summary

• .errors_module ⇒ Object private

Instance Method Summary

• #build_request(operation_name, params = {}) ⇒ Object private
• #initialize(options) ⇒ Client constructor

  A new instance of Client.

• #waiter_names ⇒ Object deprecated private Deprecated.

Constructor Details

#initialize(options) ⇒ Client

Returns a new instance of Client.

Parameters:

• options (Hash)

Options Hash (options):

• :plugins (Array<Seahorse::Client::Plugin>) — default: []] —

  A list of plugins to apply to the client. Each plugin is either a class name or an instance of a plugin class.

• :credentials (required, Aws::CredentialProvider) —

  Your AWS credentials. This can be an instance of any one of the following classes:

  • ‘Aws::Credentials` - Used for configuring static, non-refreshing credentials.

  • ‘Aws::SharedCredentials` - Used for loading static credentials from a shared file, such as `~/.aws/config`.

  • ‘Aws::AssumeRoleCredentials` - Used when you need to assume a role.

  • ‘Aws::AssumeRoleWebIdentityCredentials` - Used when you need to assume a role after providing credentials via the web.

  • ‘Aws::SSOCredentials` - Used for loading credentials from AWS SSO using an access token generated from `aws login`.

  • ‘Aws::ProcessCredentials` - Used for loading credentials from a process that outputs to stdout.

  • ‘Aws::InstanceProfileCredentials` - Used for loading credentials from an EC2 IMDS on an EC2 instance.

  • ‘Aws::ECSCredentials` - Used for loading credentials from instances running in ECS.

  • ‘Aws::CognitoIdentityCredentials` - Used for loading credentials from the Cognito Identity service.

  When ‘:credentials` are not configured directly, the following locations will be searched for credentials:

  • ‘Aws.config`

  • The ‘:access_key_id`, `:secret_access_key`, and `:session_token` options.

  • ENV, ENV

  • ‘~/.aws/credentials`

  • ‘~/.aws/config`

  • EC2/ECS IMDS instance profile - When used by default, the timeouts are very aggressive. Construct and pass an instance of ‘Aws::InstanceProfileCredentails` or `Aws::ECSCredentials` to enable retries and extended timeouts. Instance profile credential fetching can be disabled by setting ENV to true.

• :region (required, String) —

  The AWS region to connect to. The configured ‘:region` is used to determine the service `:endpoint`. When not passed, a default `:region` is searched for in the following locations:

  • ‘Aws.config`

  • ‘ENV`

  • ‘ENV`

  • ‘ENV`

  • ‘~/.aws/credentials`

  • ‘~/.aws/config`

• :access_key_id (String)
• :active_endpoint_cache (Boolean) — default: false —

  When set to ‘true`, a thread polling for endpoints will be running in the background every 60 secs (default). Defaults to `false`.

• :adaptive_retry_wait_to_fill (Boolean) — default: true —

  Used only in ‘adaptive` retry mode. When true, the request will sleep until there is sufficent client side capacity to retry the request. When false, the request will raise a `RetryCapacityNotAvailableError` and will not retry instead of sleeping.

• :client_side_monitoring (Boolean) — default: false —

  When ‘true`, client-side metrics will be collected for all API requests from this client.

• :client_side_monitoring_client_id (String) — default: "" —

  Allows you to provide an identifier for this client which will be attached to all generated client side metrics. Defaults to an empty string.

• :client_side_monitoring_host (String) — default: "127.0.0.1" —

  Allows you to specify the DNS hostname or IPv4 or IPv6 address that the client side monitoring agent is running on, where client metrics will be published via UDP.

• :client_side_monitoring_port (Integer) — default: 31000 —

  Required for publishing client metrics. The port that the client side monitoring agent is running on, where client metrics will be published via UDP.

• :client_side_monitoring_publisher (Aws::ClientSideMonitoring::Publisher) — default: Aws::ClientSideMonitoring::Publisher —

  Allows you to provide a custom client-side monitoring publisher class. By default, will use the Client Side Monitoring Agent Publisher.

• :convert_params (Boolean) — default: true —

  When ‘true`, an attempt is made to coerce request parameters into the required types.

• :correct_clock_skew (Boolean) — default: true —

  Used only in ‘standard` and adaptive retry modes. Specifies whether to apply a clock skew correction and retry requests with skewed client clocks.

• :defaults_mode (String) — default: "legacy" —

  See DefaultsModeConfiguration for a list of the accepted modes and the configuration defaults that are included.

• :disable_host_prefix_injection (Boolean) — default: false —

  Set to true to disable SDK automatically adding host prefix to default service endpoint when available.

• :disable_request_compression (Boolean) — default: false —

  When set to ‘true’ the request body will not be compressed for supported operations.

• :endpoint (String, URI::HTTPS, URI::HTTP) —

  Normally you should not configure the ‘:endpoint` option directly. This is normally constructed from the `:region` option. Configuring `:endpoint` is normally reserved for connecting to test or custom endpoints. The endpoint should be a URI formatted like:

  'http://example.com'
  'https://example.com'
  'http://example.com:123'
  

• :endpoint_cache_max_entries (Integer) — default: 1000 —

  Used for the maximum size limit of the LRU cache storing endpoints data for endpoint discovery enabled operations. Defaults to 1000.

• :endpoint_cache_max_threads (Integer) — default: 10 —

  Used for the maximum threads in use for polling endpoints to be cached, defaults to 10.

• :endpoint_cache_poll_interval (Integer) — default: 60 —

  When :endpoint_discovery and :active_endpoint_cache is enabled, Use this option to config the time interval in seconds for making requests fetching endpoints information. Defaults to 60 sec.

• :endpoint_discovery (Boolean) — default: false —

  When set to ‘true`, endpoint discovery will be enabled for operations when available.

• :ignore_configured_endpoint_urls (Boolean) —

  Setting to true disables use of endpoint URLs provided via environment variables and the shared configuration file.

• :log_formatter (Aws::Log::Formatter) — default: Aws::Log::Formatter.default —

  The log formatter.

• :log_level (Symbol) — default: :info —

  The log level to send messages to the ‘:logger` at.

• :logger (Logger) —

  The Logger instance to send log messages to. If this option is not set, logging will be disabled.

• :max_attempts (Integer) — default: 3 —

  An integer representing the maximum number attempts that will be made for a single request, including the initial attempt. For example, setting this value to 5 will result in a request being retried up to 4 times. Used in ‘standard` and `adaptive` retry modes.

• :profile (String) — default: "default" —

  Used when loading credentials from the shared credentials file at HOME/.aws/credentials. When not specified, ‘default’ is used.

• :request_min_compression_size_bytes (Integer) — default: 10240 —

  The minimum size in bytes that triggers compression for request bodies. The value must be non-negative integer value between 0 and 10485780 bytes inclusive.

• :retry_backoff (Proc) —

  A proc or lambda used for backoff. Defaults to 2**retries * retry_base_delay. This option is only used in the ‘legacy` retry mode.

• :retry_base_delay (Float) — default: 0.3 —

  The base delay in seconds used by the default backoff function. This option is only used in the ‘legacy` retry mode.

• :retry_jitter (Symbol) — default: :none —

  A delay randomiser function used by the default backoff function. Some predefined functions can be referenced by name - :none, :equal, :full, otherwise a Proc that takes and returns a number. This option is only used in the ‘legacy` retry mode.

  @see www.awsarchitectureblog.com/2015/03/backoff.html

• :retry_limit (Integer) — default: 3 —

  The maximum number of times to retry failed requests. Only ~ 500 level server errors and certain ~ 400 level client errors are retried. Generally, these are throttling errors, data checksum errors, networking errors, timeout errors, auth errors, endpoint discovery, and errors from expired credentials. This option is only used in the ‘legacy` retry mode.

• :retry_max_delay (Integer) — default: 0 —

  The maximum number of seconds to delay between retries (0 for no limit) used by the default backoff function. This option is only used in the ‘legacy` retry mode.

• :retry_mode (String) — default: "legacy" —

  Specifies which retry algorithm to use. Values are:

  • ‘legacy` - The pre-existing retry behavior. This is default value if no retry mode is provided.

  • ‘standard` - A standardized set of retry rules across the AWS SDKs. This includes support for retry quotas, which limit the number of unsuccessful retries a client can make.

  • ‘adaptive` - An experimental retry mode that includes all the functionality of `standard` mode along with automatic client side throttling. This is a provisional mode that may change behavior in the future.

• :sdk_ua_app_id (String) —

  A unique and opaque application ID that is appended to the User-Agent header as app/sdk_ua_app_id. It should have a maximum length of 50. This variable is sourced from environment variable AWS_SDK_UA_APP_ID or the shared config profile attribute sdk_ua_app_id.

• :secret_access_key (String)
• :session_token (String)
• :simple_json (Boolean) — default: false —

  Disables request parameter conversion, validation, and formatting. Also disable response data type conversions. This option is useful when you want to ensure the highest level of performance by avoiding overhead of walking request parameters and response data structures.

  When ‘:simple_json` is enabled, the request parameters hash must be formatted exactly as the DynamoDB API expects.

• :stub_responses (Boolean) — default: false —

  Causes the client to return stubbed responses. By default fake responses are generated and returned. You can specify the response data to return or errors to raise by calling ClientStubs#stub_responses. See ClientStubs for more information.

  ** Please note ** When response stubbing is enabled, no HTTP requests are made, and retries are disabled.

• :token_provider (Aws::TokenProvider) —

  A Bearer Token Provider. This can be an instance of any one of the following classes:

  • ‘Aws::StaticTokenProvider` - Used for configuring static, non-refreshing tokens.

  • ‘Aws::SSOTokenProvider` - Used for loading tokens from AWS SSO using an access token generated from `aws login`.

  When ‘:token_provider` is not configured directly, the `Aws::TokenProviderChain` will be used to search for tokens configured for your profile in shared configuration files.

• :use_dualstack_endpoint (Boolean) —

  When set to ‘true`, dualstack enabled endpoints (with `.aws` TLD) will be used if available.

• :use_fips_endpoint (Boolean) —

  When set to ‘true`, fips compatible endpoints will be used if available. When a `fips` region is used, the region is normalized and this config is set to `true`.

• :validate_params (Boolean) — default: true —

  When ‘true`, request parameters are validated before sending the request.

• :endpoint_provider (Aws::Glue::EndpointProvider) —

  The endpoint provider used to resolve endpoints. Any object that responds to ‘#resolve_endpoint(parameters)` where `parameters` is a Struct similar to `Aws::Glue::EndpointParameters`

• :http_continue_timeout (Float) — default: 1 —

  The number of seconds to wait for a 100-continue response before sending the request body. This option has no effect unless the request has “Expect” header set to “100-continue”. Defaults to ‘nil` which disables this behaviour. This value can safely be set per request on the session.

• :http_idle_timeout (Float) — default: 5 —

  The number of seconds a connection is allowed to sit idle before it is considered stale. Stale connections are closed and removed from the pool before making a request.

• :http_open_timeout (Float) — default: 15 —

  The default number of seconds to wait for response data. This value can safely be set per-request on the session.

• :http_proxy (URI::HTTP, String) —

  A proxy to send requests through. Formatted like ‘proxy.com:123’.

• :http_read_timeout (Float) — default: 60 —

  The default number of seconds to wait for response data. This value can safely be set per-request on the session.

• :http_wire_trace (Boolean) — default: false —

  When ‘true`, HTTP debug output will be sent to the `:logger`.

• :on_chunk_received (Proc) —

  When a Proc object is provided, it will be used as callback when each chunk of the response body is received. It provides three arguments: the chunk, the number of bytes received, and the total number of bytes in the response (or nil if the server did not send a ‘content-length`).

• :on_chunk_sent (Proc) —

  When a Proc object is provided, it will be used as callback when each chunk of the request body is sent. It provides three arguments: the chunk, the number of bytes read from the body, and the total number of bytes in the body.

• :raise_response_errors (Boolean) — default: true —

  When ‘true`, response errors are raised.

• :ssl_ca_bundle (String) —

  Full path to the SSL certificate authority bundle file that should be used when verifying peer certificates. If you do not pass ‘:ssl_ca_bundle` or `:ssl_ca_directory` the the system default will be used if available.

• :ssl_ca_directory (String) —

  Full path of the directory that contains the unbundled SSL certificate authority files for verifying peer certificates. If you do not pass ‘:ssl_ca_bundle` or `:ssl_ca_directory` the the system default will be used if available.

• :ssl_ca_store (String) —

  Sets the X509::Store to verify peer certificate.

• :ssl_timeout (Float) —

  Sets the SSL timeout in seconds

• :ssl_verify_peer (Boolean) — default: true —

  When ‘true`, SSL peer certificates are verified when establishing a connection.

# File 'lib/aws-sdk-glue/client.rb', line 423

def initialize(*args)
  super
end

Class Attribute Details

.identifier ⇒ Object (readonly)

This method is part of a private API. You should avoid using this method if possible, as it may be removed or be changed in the future.

# File 'lib/aws-sdk-glue/client.rb', line 17572

def identifier
  @identifier
end

Class Method Details

.errors_module ⇒ Object

This method is part of a private API. You should avoid using this method if possible, as it may be removed or be changed in the future.

# File 'lib/aws-sdk-glue/client.rb', line 17575

def errors_module
  Errors
end

Instance Method Details

#batch_create_partition(params = {}) ⇒ Types::BatchCreatePartitionResponse

Creates one or more partitions in a batch operation.

Examples:

Request syntax with placeholder values

resp = client.batch_create_partition({
  catalog_id: "CatalogIdString",
  database_name: "NameString", # required
  table_name: "NameString", # required
  partition_input_list: [ # required
    {
      values: ["ValueString"],
      last_access_time: Time.now,
      storage_descriptor: {
        columns: [
          {
            name: "NameString", # required
            type: "ColumnTypeString",
            comment: "CommentString",
            parameters: {
              "KeyString" => "ParametersMapValue",
            },
          },
        ],
        location: "LocationString",
        additional_locations: ["LocationString"],
        input_format: "FormatString",
        output_format: "FormatString",
        compressed: false,
        number_of_buckets: 1,
        serde_info: {
          name: "NameString",
          serialization_library: "NameString",
          parameters: {
            "KeyString" => "ParametersMapValue",
          },
        },
        bucket_columns: ["NameString"],
        sort_columns: [
          {
            column: "NameString", # required
            sort_order: 1, # required
          },
        ],
        parameters: {
          "KeyString" => "ParametersMapValue",
        },
        skewed_info: {
          skewed_column_names: ["NameString"],
          skewed_column_values: ["ColumnValuesString"],
          skewed_column_value_location_maps: {
            "ColumnValuesString" => "ColumnValuesString",
          },
        },
        stored_as_sub_directories: false,
        schema_reference: {
          schema_id: {
            schema_arn: "GlueResourceArn",
            schema_name: "SchemaRegistryNameString",
            registry_name: "SchemaRegistryNameString",
          },
          schema_version_id: "SchemaVersionIdString",
          schema_version_number: 1,
        },
      },
      parameters: {
        "KeyString" => "ParametersMapValue",
      },
      last_analyzed_time: Time.now,
    },
  ],
})

Response structure

resp.errors #=> Array
resp.errors[0].partition_values #=> Array
resp.errors[0].partition_values[0] #=> String
resp.errors[0].error_detail.error_code #=> String
resp.errors[0].error_detail.error_message #=> String

Parameters:

• params (Hash) (defaults to: {}) —

  ({})

Options Hash (params):

• :catalog_id (String) —

  The ID of the catalog in which the partition is to be created. Currently, this should be the Amazon Web Services account ID.

• :database_name (required, String) —

  The name of the metadata database in which the partition is to be created.

• :table_name (required, String) —

  The name of the metadata table in which the partition is to be created.

• :partition_input_list (required, Array<Types::PartitionInput>) —

  A list of ‘PartitionInput` structures that define the partitions to be created.

Returns:

• (Types::BatchCreatePartitionResponse) —

  Returns a response object which responds to the following methods:

  • #errors => Array&lt;Types::PartitionError&gt;

See Also:

• AWS API Documentation

# File 'lib/aws-sdk-glue/client.rb', line 533

def batch_create_partition(params = {}, options = {})
  req = build_request(:batch_create_partition, params)
  req.send_request(options)
end

#batch_delete_connection(params = {}) ⇒ Types::BatchDeleteConnectionResponse

Deletes a list of connection definitions from the Data Catalog.

Examples:

Request syntax with placeholder values

resp = client.batch_delete_connection({
  catalog_id: "CatalogIdString",
  connection_name_list: ["NameString"], # required
})

Response structure

resp.succeeded #=> Array
resp.succeeded[0] #=> String
resp.errors #=> Hash
resp.errors["NameString"].error_code #=> String
resp.errors["NameString"].error_message #=> String

Parameters:

• params (Hash) (defaults to: {}) —

  ({})

Options Hash (params):

• :catalog_id (String) —

  The ID of the Data Catalog in which the connections reside. If none is provided, the Amazon Web Services account ID is used by default.

• :connection_name_list (required, Array<String>) —

  A list of names of the connections to delete.

Returns:

• (Types::BatchDeleteConnectionResponse) —

  Returns a response object which responds to the following methods:

  • #succeeded => Array&lt;String&gt;

  • #errors => Hash&lt;String,Types::ErrorDetail&gt;

See Also:

• AWS API Documentation

# File 'lib/aws-sdk-glue/client.rb', line 571

def batch_delete_connection(params = {}, options = {})
  req = build_request(:batch_delete_connection, params)
  req.send_request(options)
end

#batch_delete_partition(params = {}) ⇒ Types::BatchDeletePartitionResponse

Deletes one or more partitions in a batch operation.

Examples:

Request syntax with placeholder values

resp = client.batch_delete_partition({
  catalog_id: "CatalogIdString",
  database_name: "NameString", # required
  table_name: "NameString", # required
  partitions_to_delete: [ # required
    {
      values: ["ValueString"], # required
    },
  ],
})

Response structure

resp.errors #=> Array
resp.errors[0].partition_values #=> Array
resp.errors[0].partition_values[0] #=> String
resp.errors[0].error_detail.error_code #=> String
resp.errors[0].error_detail.error_message #=> String

Parameters:

• params (Hash) (defaults to: {}) —

  ({})

Options Hash (params):

• :catalog_id (String) —

  The ID of the Data Catalog where the partition to be deleted resides. If none is provided, the Amazon Web Services account ID is used by default.

• :database_name (required, String) —

  The name of the catalog database in which the table in question resides.

• :table_name (required, String) —

  The name of the table that contains the partitions to be deleted.

• :partitions_to_delete (required, Array<Types::PartitionValueList>) —

  A list of ‘PartitionInput` structures that define the partitions to be deleted.

Returns:

• (Types::BatchDeletePartitionResponse) —

  Returns a response object which responds to the following methods:

  • #errors => Array&lt;Types::PartitionError&gt;

See Also:

• AWS API Documentation

# File 'lib/aws-sdk-glue/client.rb', line 623

def batch_delete_partition(params = {}, options = {})
  req = build_request(:batch_delete_partition, params)
  req.send_request(options)
end

#batch_delete_table(params = {}) ⇒ Types::BatchDeleteTableResponse

Deletes multiple tables at once.

<note markdown=“1”> After completing this operation, you no longer have access to the table versions and partitions that belong to the deleted table. Glue deletes these “orphaned” resources asynchronously in a timely manner, at the discretion of the service.

To ensure the immediate deletion of all related resources, before

calling ‘BatchDeleteTable`, use `DeleteTableVersion` or `BatchDeleteTableVersion`, and `DeletePartition` or `BatchDeletePartition`, to delete any resources that belong to the table.

</note>

Examples:

Request syntax with placeholder values

resp = client.batch_delete_table({
  catalog_id: "CatalogIdString",
  database_name: "NameString", # required
  tables_to_delete: ["NameString"], # required
  transaction_id: "TransactionIdString",
})

Response structure

resp.errors #=> Array
resp.errors[0].table_name #=> String
resp.errors[0].error_detail.error_code #=> String
resp.errors[0].error_detail.error_message #=> String

Parameters:

• params (Hash) (defaults to: {}) —

  ({})

Options Hash (params):

• :catalog_id (String) —

  The ID of the Data Catalog where the table resides. If none is provided, the Amazon Web Services account ID is used by default.

• :database_name (required, String) —

  The name of the catalog database in which the tables to delete reside. For Hive compatibility, this name is entirely lowercase.

• :tables_to_delete (required, Array<String>) —

  A list of the table to delete.

• :transaction_id (String) —

  The transaction ID at which to delete the table contents.

Returns:

• (Types::BatchDeleteTableResponse) —

  Returns a response object which responds to the following methods:

  • #errors => Array&lt;Types::TableError&gt;

See Also:

• AWS API Documentation

# File 'lib/aws-sdk-glue/client.rb', line 681

def batch_delete_table(params = {}, options = {})
  req = build_request(:batch_delete_table, params)
  req.send_request(options)
end

#batch_delete_table_version(params = {}) ⇒ Types::BatchDeleteTableVersionResponse

Deletes a specified batch of versions of a table.

Examples:

Request syntax with placeholder values

resp = client.batch_delete_table_version({
  catalog_id: "CatalogIdString",
  database_name: "NameString", # required
  table_name: "NameString", # required
  version_ids: ["VersionString"], # required
})

Response structure

resp.errors #=> Array
resp.errors[0].table_name #=> String
resp.errors[0].version_id #=> String
resp.errors[0].error_detail.error_code #=> String
resp.errors[0].error_detail.error_message #=> String

Parameters:

• params (Hash) (defaults to: {}) —

  ({})

Options Hash (params):

• :catalog_id (String) —

  The ID of the Data Catalog where the tables reside. If none is provided, the Amazon Web Services account ID is used by default.

• :database_name (required, String) —

  The database in the catalog in which the table resides. For Hive compatibility, this name is entirely lowercase.

• :table_name (required, String) —

  The name of the table. For Hive compatibility, this name is entirely lowercase.

• :version_ids (required, Array<String>) —

  A list of the IDs of versions to be deleted. A ‘VersionId` is a string representation of an integer. Each version is incremented by 1.

Returns:

• (Types::BatchDeleteTableVersionResponse) —

  Returns a response object which responds to the following methods:

  • #errors => Array&lt;Types::TableVersionError&gt;

See Also:

• AWS API Documentation

# File 'lib/aws-sdk-glue/client.rb', line 729

def batch_delete_table_version(params = {}, options = {})
  req = build_request(:batch_delete_table_version, params)
  req.send_request(options)
end

#batch_get_blueprints(params = {}) ⇒ Types::BatchGetBlueprintsResponse

Retrieves information about a list of blueprints.

Examples:

Request syntax with placeholder values

resp = client.batch_get_blueprints({
  names: ["OrchestrationNameString"], # required
  include_blueprint: false,
  include_parameter_spec: false,
})

Response structure

resp.blueprints #=> Array
resp.blueprints[0].name #=> String
resp.blueprints[0].description #=> String
resp.blueprints[0].created_on #=> Time
resp.blueprints[0].last_modified_on #=> Time
resp.blueprints[0].parameter_spec #=> String
resp.blueprints[0].blueprint_location #=> String
resp.blueprints[0].blueprint_service_location #=> String
resp.blueprints[0].status #=> String, one of "CREATING", "ACTIVE", "UPDATING", "FAILED"
resp.blueprints[0].error_message #=> String
resp.blueprints[0].last_active_definition.description #=> String
resp.blueprints[0].last_active_definition.last_modified_on #=> Time
resp.blueprints[0].last_active_definition.parameter_spec #=> String
resp.blueprints[0].last_active_definition.blueprint_location #=> String
resp.blueprints[0].last_active_definition.blueprint_service_location #=> String
resp.missing_blueprints #=> Array
resp.missing_blueprints[0] #=> String

Parameters:

• params (Hash) (defaults to: {}) —

  ({})

Options Hash (params):

• :names (required, Array<String>) —

  A list of blueprint names.

• :include_blueprint (Boolean) —

  Specifies whether or not to include the blueprint in the response.

• :include_parameter_spec (Boolean) —

  Specifies whether or not to include the parameters, as a JSON string, for the blueprint in the response.

Returns:

• (Types::BatchGetBlueprintsResponse) —

  Returns a response object which responds to the following methods:

  • #blueprints => Array&lt;Types::Blueprint&gt;

  • #missing_blueprints => Array&lt;String&gt;

See Also:

• AWS API Documentation

# File 'lib/aws-sdk-glue/client.rb', line 783

def batch_get_blueprints(params = {}, options = {})
  req = build_request(:batch_get_blueprints, params)
  req.send_request(options)
end

#batch_get_crawlers(params = {}) ⇒ Types::BatchGetCrawlersResponse

Returns a list of resource metadata for a given list of crawler names. After calling the ‘ListCrawlers` operation, you can call this operation to access the data to which you have been granted permissions. This operation supports all IAM permissions, including permission conditions that uses tags.

Examples:

Request syntax with placeholder values

resp = client.batch_get_crawlers({
  crawler_names: ["NameString"], # required
})

Response structure

resp.crawlers #=> Array
resp.crawlers[0].name #=> String
resp.crawlers[0].role #=> String
resp.crawlers[0].targets.s3_targets #=> Array
resp.crawlers[0].targets.s3_targets[0].path #=> String
resp.crawlers[0].targets.s3_targets[0].exclusions #=> Array
resp.crawlers[0].targets.s3_targets[0].exclusions[0] #=> String
resp.crawlers[0].targets.s3_targets[0].connection_name #=> String
resp.crawlers[0].targets.s3_targets[0].sample_size #=> Integer
resp.crawlers[0].targets.s3_targets[0].event_queue_arn #=> String
resp.crawlers[0].targets.s3_targets[0].dlq_event_queue_arn #=> String
resp.crawlers[0].targets.jdbc_targets #=> Array
resp.crawlers[0].targets.jdbc_targets[0].connection_name #=> String
resp.crawlers[0].targets.jdbc_targets[0].path #=> String
resp.crawlers[0].targets.jdbc_targets[0].exclusions #=> Array
resp.crawlers[0].targets.jdbc_targets[0].exclusions[0] #=> String
resp.crawlers[0].targets.jdbc_targets[0].enable_additional_metadata #=> Array
resp.crawlers[0].targets.jdbc_targets[0].enable_additional_metadata[0] #=> String, one of "COMMENTS", "RAWTYPES"
resp.crawlers[0].targets.mongo_db_targets #=> Array
resp.crawlers[0].targets.mongo_db_targets[0].connection_name #=> String
resp.crawlers[0].targets.mongo_db_targets[0].path #=> String
resp.crawlers[0].targets.mongo_db_targets[0].scan_all #=> Boolean
resp.crawlers[0].targets.dynamo_db_targets #=> Array
resp.crawlers[0].targets.dynamo_db_targets[0].path #=> String
resp.crawlers[0].targets.dynamo_db_targets[0].scan_all #=> Boolean
resp.crawlers[0].targets.dynamo_db_targets[0].scan_rate #=> Float
resp.crawlers[0].targets.catalog_targets #=> Array
resp.crawlers[0].targets.catalog_targets[0].database_name #=> String
resp.crawlers[0].targets.catalog_targets[0].tables #=> Array
resp.crawlers[0].targets.catalog_targets[0].tables[0] #=> String
resp.crawlers[0].targets.catalog_targets[0].connection_name #=> String
resp.crawlers[0].targets.catalog_targets[0].event_queue_arn #=> String
resp.crawlers[0].targets.catalog_targets[0].dlq_event_queue_arn #=> String
resp.crawlers[0].targets.delta_targets #=> Array
resp.crawlers[0].targets.delta_targets[0].delta_tables #=> Array
resp.crawlers[0].targets.delta_targets[0].delta_tables[0] #=> String
resp.crawlers[0].targets.delta_targets[0].connection_name #=> String
resp.crawlers[0].targets.delta_targets[0].write_manifest #=> Boolean
resp.crawlers[0].targets.delta_targets[0].create_native_delta_table #=> Boolean
resp.crawlers[0].targets.iceberg_targets #=> Array
resp.crawlers[0].targets.iceberg_targets[0].paths #=> Array
resp.crawlers[0].targets.iceberg_targets[0].paths[0] #=> String
resp.crawlers[0].targets.iceberg_targets[0].connection_name #=> String
resp.crawlers[0].targets.iceberg_targets[0].exclusions #=> Array
resp.crawlers[0].targets.iceberg_targets[0].exclusions[0] #=> String
resp.crawlers[0].targets.iceberg_targets[0].maximum_traversal_depth #=> Integer
resp.crawlers[0].targets.hudi_targets #=> Array
resp.crawlers[0].targets.hudi_targets[0].paths #=> Array
resp.crawlers[0].targets.hudi_targets[0].paths[0] #=> String
resp.crawlers[0].targets.hudi_targets[0].connection_name #=> String
resp.crawlers[0].targets.hudi_targets[0].exclusions #=> Array
resp.crawlers[0].targets.hudi_targets[0].exclusions[0] #=> String
resp.crawlers[0].targets.hudi_targets[0].maximum_traversal_depth #=> Integer
resp.crawlers[0].database_name #=> String
resp.crawlers[0].description #=> String
resp.crawlers[0].classifiers #=> Array
resp.crawlers[0].classifiers[0] #=> String
resp.crawlers[0].recrawl_policy.recrawl_behavior #=> String, one of "CRAWL_EVERYTHING", "CRAWL_NEW_FOLDERS_ONLY", "CRAWL_EVENT_MODE"
resp.crawlers[0].schema_change_policy.update_behavior #=> String, one of "LOG", "UPDATE_IN_DATABASE"
resp.crawlers[0].schema_change_policy.delete_behavior #=> String, one of "LOG", "DELETE_FROM_DATABASE", "DEPRECATE_IN_DATABASE"
resp.crawlers[0].lineage_configuration.crawler_lineage_settings #=> String, one of "ENABLE", "DISABLE"
resp.crawlers[0].state #=> String, one of "READY", "RUNNING", "STOPPING"
resp.crawlers[0].table_prefix #=> String
resp.crawlers[0].schedule.schedule_expression #=> String
resp.crawlers[0].schedule.state #=> String, one of "SCHEDULED", "NOT_SCHEDULED", "TRANSITIONING"
resp.crawlers[0].crawl_elapsed_time #=> Integer
resp.crawlers[0].creation_time #=> Time
resp.crawlers[0].last_updated #=> Time
resp.crawlers[0].last_crawl.status #=> String, one of "SUCCEEDED", "CANCELLED", "FAILED"
resp.crawlers[0].last_crawl.error_message #=> String
resp.crawlers[0].last_crawl.log_group #=> String
resp.crawlers[0].last_crawl.log_stream #=> String
resp.crawlers[0].last_crawl.message_prefix #=> String
resp.crawlers[0].last_crawl.start_time #=> Time
resp.crawlers[0].version #=> Integer
resp.crawlers[0].configuration #=> String
resp.crawlers[0].crawler_security_configuration #=> String
resp.crawlers[0].lake_formation_configuration.use_lake_formation_credentials #=> Boolean
resp.crawlers[0].lake_formation_configuration.account_id #=> String
resp.crawlers_not_found #=> Array
resp.crawlers_not_found[0] #=> String

Parameters:

• params (Hash) (defaults to: {}) —

  ({})

Options Hash (params):

• :crawler_names (required, Array<String>) —

  A list of crawler names, which might be the names returned from the ‘ListCrawlers` operation.

Returns:

• (Types::BatchGetCrawlersResponse) —

  Returns a response object which responds to the following methods:

  • #crawlers => Array&lt;Types::Crawler&gt;

  • #crawlers_not_found => Array&lt;String&gt;

See Also:

• AWS API Documentation

# File 'lib/aws-sdk-glue/client.rb', line 897

def batch_get_crawlers(params = {}, options = {})
  req = build_request(:batch_get_crawlers, params)
  req.send_request(options)
end

#batch_get_custom_entity_types(params = {}) ⇒ Types::BatchGetCustomEntityTypesResponse

Retrieves the details for the custom patterns specified by a list of names.

Examples:

Request syntax with placeholder values

resp = client.batch_get_custom_entity_types({
  names: ["NameString"], # required
})

Response structure

resp.custom_entity_types #=> Array
resp.custom_entity_types[0].name #=> String
resp.custom_entity_types[0].regex_string #=> String
resp.custom_entity_types[0].context_words #=> Array
resp.custom_entity_types[0].context_words[0] #=> String
resp.custom_entity_types_not_found #=> Array
resp.custom_entity_types_not_found[0] #=> String

Parameters:

• params (Hash) (defaults to: {}) —

  ({})

Options Hash (params):

• :names (required, Array<String>) —

  A list of names of the custom patterns that you want to retrieve.

Returns:

• (Types::BatchGetCustomEntityTypesResponse) —

  Returns a response object which responds to the following methods:

  • #custom_entity_types => Array&lt;Types::CustomEntityType&gt;

  • #custom_entity_types_not_found => Array&lt;String&gt;

See Also:

• AWS API Documentation

# File 'lib/aws-sdk-glue/client.rb', line 933

def batch_get_custom_entity_types(params = {}, options = {})
  req = build_request(:batch_get_custom_entity_types, params)
  req.send_request(options)
end

#batch_get_data_quality_result(params = {}) ⇒ Types::BatchGetDataQualityResultResponse

Retrieves a list of data quality results for the specified result IDs.

Examples:

Request syntax with placeholder values

resp = client.batch_get_data_quality_result({
  result_ids: ["HashString"], # required
})

Response structure

resp.results #=> Array
resp.results[0].result_id #=> String
resp.results[0].score #=> Float
resp.results[0].data_source.glue_table.database_name #=> String
resp.results[0].data_source.glue_table.table_name #=> String
resp.results[0].data_source.glue_table.catalog_id #=> String
resp.results[0].data_source.glue_table.connection_name #=> String
resp.results[0].data_source.glue_table.additional_options #=> Hash
resp.results[0].data_source.glue_table.additional_options["NameString"] #=> String
resp.results[0].ruleset_name #=> String
resp.results[0].evaluation_context #=> String
resp.results[0].started_on #=> Time
resp.results[0].completed_on #=> Time
resp.results[0].job_name #=> String
resp.results[0].job_run_id #=> String
resp.results[0].ruleset_evaluation_run_id #=> String
resp.results[0].rule_results #=> Array
resp.results[0].rule_results[0].name #=> String
resp.results[0].rule_results[0].description #=> String
resp.results[0].rule_results[0].evaluation_message #=> String
resp.results[0].rule_results[0].result #=> String, one of "PASS", "FAIL", "ERROR"
resp.results[0].rule_results[0].evaluated_metrics #=> Hash
resp.results[0].rule_results[0].evaluated_metrics["NameString"] #=> Float
resp.results[0].analyzer_results #=> Array
resp.results[0].analyzer_results[0].name #=> String
resp.results[0].analyzer_results[0].description #=> String
resp.results[0].analyzer_results[0].evaluation_message #=> String
resp.results[0].analyzer_results[0].evaluated_metrics #=> Hash
resp.results[0].analyzer_results[0].evaluated_metrics["NameString"] #=> Float
resp.results[0].observations #=> Array
resp.results[0].observations[0].description #=> String
resp.results[0].observations[0].metric_based_observation.metric_name #=> String
resp.results[0].observations[0].metric_based_observation.metric_values.actual_value #=> Float
resp.results[0].observations[0].metric_based_observation.metric_values.expected_value #=> Float
resp.results[0].observations[0].metric_based_observation.metric_values.lower_limit #=> Float
resp.results[0].observations[0].metric_based_observation.metric_values.upper_limit #=> Float
resp.results[0].observations[0].metric_based_observation.new_rules #=> Array
resp.results[0].observations[0].metric_based_observation.new_rules[0] #=> String
resp.results_not_found #=> Array
resp.results_not_found[0] #=> String

Parameters:

• params (Hash) (defaults to: {}) —

  ({})

Options Hash (params):

• :result_ids (required, Array<String>) —

  A list of unique result IDs for the data quality results.

Returns:

• (Types::BatchGetDataQualityResultResponse) —

  Returns a response object which responds to the following methods:

  • #results => Array&lt;Types::DataQualityResult&gt;

  • #results_not_found => Array&lt;String&gt;

See Also:

• AWS API Documentation

# File 'lib/aws-sdk-glue/client.rb', line 1001

def batch_get_data_quality_result(params = {}, options = {})
  req = build_request(:batch_get_data_quality_result, params)
  req.send_request(options)
end

#batch_get_dev_endpoints(params = {}) ⇒ Types::BatchGetDevEndpointsResponse

Returns a list of resource metadata for a given list of development endpoint names. After calling the ‘ListDevEndpoints` operation, you can call this operation to access the data to which you have been granted permissions. This operation supports all IAM permissions, including permission conditions that uses tags.

Examples:

Request syntax with placeholder values

resp = client.batch_get_dev_endpoints({
  dev_endpoint_names: ["GenericString"], # required
})

Response structure

resp.dev_endpoints #=> Array
resp.dev_endpoints[0].endpoint_name #=> String
resp.dev_endpoints[0].role_arn #=> String
resp.dev_endpoints[0].security_group_ids #=> Array
resp.dev_endpoints[0].security_group_ids[0] #=> String
resp.dev_endpoints[0].subnet_id #=> String
resp.dev_endpoints[0].yarn_endpoint_address #=> String
resp.dev_endpoints[0].private_address #=> String
resp.dev_endpoints[0].zeppelin_remote_spark_interpreter_port #=> Integer
resp.dev_endpoints[0].public_address #=> String
resp.dev_endpoints[0].status #=> String
resp.dev_endpoints[0].worker_type #=> String, one of "Standard", "G.1X", "G.2X", "G.025X", "G.4X", "G.8X", "Z.2X"
resp.dev_endpoints[0].glue_version #=> String
resp.dev_endpoints[0].number_of_workers #=> Integer
resp.dev_endpoints[0].number_of_nodes #=> Integer
resp.dev_endpoints[0].availability_zone #=> String
resp.dev_endpoints[0].vpc_id #=> String
resp.dev_endpoints[0].extra_python_libs_s3_path #=> String
resp.dev_endpoints[0].extra_jars_s3_path #=> String
resp.dev_endpoints[0].failure_reason #=> String
resp.dev_endpoints[0].last_update_status #=> String
resp.dev_endpoints[0].created_timestamp #=> Time
resp.dev_endpoints[0].last_modified_timestamp #=> Time
resp.dev_endpoints[0].public_key #=> String
resp.dev_endpoints[0].public_keys #=> Array
resp.dev_endpoints[0].public_keys[0] #=> String
resp.dev_endpoints[0].security_configuration #=> String
resp.dev_endpoints[0].arguments #=> Hash
resp.dev_endpoints[0].arguments["GenericString"] #=> String
resp.dev_endpoints_not_found #=> Array
resp.dev_endpoints_not_found[0] #=> String

Parameters:

• params (Hash) (defaults to: {}) —

  ({})

Options Hash (params):

• :dev_endpoint_names (required, Array<String>) —

  The list of ‘DevEndpoint` names, which might be the names returned from the `ListDevEndpoint` operation.

Returns:

• (Types::BatchGetDevEndpointsResponse) —

  Returns a response object which responds to the following methods:

  • #dev_endpoints => Array&lt;Types::DevEndpoint&gt;

  • #dev_endpoints_not_found => Array&lt;String&gt;

See Also:

• AWS API Documentation

# File 'lib/aws-sdk-glue/client.rb', line 1065

def batch_get_dev_endpoints(params = {}, options = {})
  req = build_request(:batch_get_dev_endpoints, params)
  req.send_request(options)
end

#batch_get_jobs(params = {}) ⇒ Types::BatchGetJobsResponse

Returns a list of resource metadata for a given list of job names. After calling the ‘ListJobs` operation, you can call this operation to access the data to which you have been granted permissions. This operation supports all IAM permissions, including permission conditions that uses tags.

Examples:

Request syntax with placeholder values

resp = client.batch_get_jobs({
  job_names: ["NameString"], # required
})

Response structure

resp.jobs #=> Array
resp.jobs[0].name #=> String
resp.jobs[0].job_mode #=> String, one of "SCRIPT", "VISUAL", "NOTEBOOK"
resp.jobs[0].description #=> String
resp.jobs[0].log_uri #=> String
resp.jobs[0].role #=> String
resp.jobs[0].created_on #=> Time
resp.jobs[0].last_modified_on #=> Time
resp.jobs[0].execution_property.max_concurrent_runs #=> Integer
resp.jobs[0].command.name #=> String
resp.jobs[0].command.script_location #=> String
resp.jobs[0].command.python_version #=> String
resp.jobs[0].command.runtime #=> String
resp.jobs[0].default_arguments #=> Hash
resp.jobs[0].default_arguments["GenericString"] #=> String
resp.jobs[0].non_overridable_arguments #=> Hash
resp.jobs[0].non_overridable_arguments["GenericString"] #=> String
resp.jobs[0].connections.connections #=> Array
resp.jobs[0].connections.connections[0] #=> String
resp.jobs[0].max_retries #=> Integer
resp.jobs[0].allocated_capacity #=> Integer
resp.jobs[0].timeout #=> Integer
resp.jobs[0].max_capacity #=> Float
resp.jobs[0].worker_type #=> String, one of "Standard", "G.1X", "G.2X", "G.025X", "G.4X", "G.8X", "Z.2X"
resp.jobs[0].number_of_workers #=> Integer
resp.jobs[0].security_configuration #=> String
resp.jobs[0].notification_property.notify_delay_after #=> Integer
resp.jobs[0].glue_version #=> String
resp.jobs[0].code_gen_configuration_nodes #=> Hash
resp.jobs[0].code_gen_configuration_nodes["NodeId"].athena_connector_source.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].athena_connector_source.connection_name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].athena_connector_source.connector_name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].athena_connector_source.connection_type #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].athena_connector_source.connection_table #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].athena_connector_source.schema_name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].athena_connector_source.output_schemas #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].athena_connector_source.output_schemas[0].columns #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].athena_connector_source.output_schemas[0].columns[0].name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].athena_connector_source.output_schemas[0].columns[0].type #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].jdbc_connector_source.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].jdbc_connector_source.connection_name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].jdbc_connector_source.connector_name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].jdbc_connector_source.connection_type #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].jdbc_connector_source.additional_options.filter_predicate #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].jdbc_connector_source.additional_options.partition_column #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].jdbc_connector_source.additional_options.lower_bound #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].jdbc_connector_source.additional_options.upper_bound #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].jdbc_connector_source.additional_options.num_partitions #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].jdbc_connector_source.additional_options.job_bookmark_keys #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].jdbc_connector_source.additional_options.job_bookmark_keys[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].jdbc_connector_source.additional_options.job_bookmark_keys_sort_order #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].jdbc_connector_source.additional_options.data_type_mapping #=> Hash
resp.jobs[0].code_gen_configuration_nodes["NodeId"].jdbc_connector_source.additional_options.data_type_mapping["JDBCDataType"] #=> String, one of "DATE", "STRING", "TIMESTAMP", "INT", "FLOAT", "LONG", "BIGDECIMAL", "BYTE", "SHORT", "DOUBLE"
resp.jobs[0].code_gen_configuration_nodes["NodeId"].jdbc_connector_source.connection_table #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].jdbc_connector_source.query #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].jdbc_connector_source.output_schemas #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].jdbc_connector_source.output_schemas[0].columns #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].jdbc_connector_source.output_schemas[0].columns[0].name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].jdbc_connector_source.output_schemas[0].columns[0].type #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].spark_connector_source.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].spark_connector_source.connection_name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].spark_connector_source.connector_name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].spark_connector_source.connection_type #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].spark_connector_source.additional_options #=> Hash
resp.jobs[0].code_gen_configuration_nodes["NodeId"].spark_connector_source.additional_options["EnclosedInStringProperty"] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].spark_connector_source.output_schemas #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].spark_connector_source.output_schemas[0].columns #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].spark_connector_source.output_schemas[0].columns[0].name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].spark_connector_source.output_schemas[0].columns[0].type #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_source.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_source.database #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_source.table #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].redshift_source.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].redshift_source.database #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].redshift_source.table #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].redshift_source.redshift_tmp_dir #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].redshift_source.tmp_dir_iam_role #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_catalog_source.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_catalog_source.database #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_catalog_source.table #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_catalog_source.partition_predicate #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_catalog_source.additional_options.bounded_size #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_catalog_source.additional_options.bounded_files #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_csv_source.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_csv_source.paths #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_csv_source.paths[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_csv_source.compression_type #=> String, one of "gzip", "bzip2"
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_csv_source.exclusions #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_csv_source.exclusions[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_csv_source.group_size #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_csv_source.group_files #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_csv_source.recurse #=> Boolean
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_csv_source.max_band #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_csv_source.max_files_in_band #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_csv_source.additional_options.bounded_size #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_csv_source.additional_options.bounded_files #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_csv_source.additional_options.enable_sample_path #=> Boolean
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_csv_source.additional_options.sample_path #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_csv_source.separator #=> String, one of "comma", "ctrla", "pipe", "semicolon", "tab"
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_csv_source.escaper #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_csv_source.quote_char #=> String, one of "quote", "quillemet", "single_quote", "disabled"
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_csv_source.multiline #=> Boolean
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_csv_source.with_header #=> Boolean
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_csv_source.write_header #=> Boolean
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_csv_source.skip_first #=> Boolean
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_csv_source.optimize_performance #=> Boolean
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_csv_source.output_schemas #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_csv_source.output_schemas[0].columns #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_csv_source.output_schemas[0].columns[0].name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_csv_source.output_schemas[0].columns[0].type #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_json_source.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_json_source.paths #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_json_source.paths[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_json_source.compression_type #=> String, one of "gzip", "bzip2"
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_json_source.exclusions #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_json_source.exclusions[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_json_source.group_size #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_json_source.group_files #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_json_source.recurse #=> Boolean
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_json_source.max_band #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_json_source.max_files_in_band #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_json_source.additional_options.bounded_size #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_json_source.additional_options.bounded_files #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_json_source.additional_options.enable_sample_path #=> Boolean
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_json_source.additional_options.sample_path #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_json_source.json_path #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_json_source.multiline #=> Boolean
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_json_source.output_schemas #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_json_source.output_schemas[0].columns #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_json_source.output_schemas[0].columns[0].name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_json_source.output_schemas[0].columns[0].type #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_parquet_source.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_parquet_source.paths #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_parquet_source.paths[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_parquet_source.compression_type #=> String, one of "snappy", "lzo", "gzip", "uncompressed", "none"
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_parquet_source.exclusions #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_parquet_source.exclusions[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_parquet_source.group_size #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_parquet_source.group_files #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_parquet_source.recurse #=> Boolean
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_parquet_source.max_band #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_parquet_source.max_files_in_band #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_parquet_source.additional_options.bounded_size #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_parquet_source.additional_options.bounded_files #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_parquet_source.additional_options.enable_sample_path #=> Boolean
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_parquet_source.additional_options.sample_path #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_parquet_source.output_schemas #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_parquet_source.output_schemas[0].columns #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_parquet_source.output_schemas[0].columns[0].name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_parquet_source.output_schemas[0].columns[0].type #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].relational_catalog_source.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].relational_catalog_source.database #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].relational_catalog_source.table #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].dynamo_db_catalog_source.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].dynamo_db_catalog_source.database #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].dynamo_db_catalog_source.table #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].jdbc_connector_target.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].jdbc_connector_target.inputs #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].jdbc_connector_target.inputs[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].jdbc_connector_target.connection_name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].jdbc_connector_target.connection_table #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].jdbc_connector_target.connector_name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].jdbc_connector_target.connection_type #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].jdbc_connector_target.additional_options #=> Hash
resp.jobs[0].code_gen_configuration_nodes["NodeId"].jdbc_connector_target.additional_options["EnclosedInStringProperty"] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].jdbc_connector_target.output_schemas #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].jdbc_connector_target.output_schemas[0].columns #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].jdbc_connector_target.output_schemas[0].columns[0].name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].jdbc_connector_target.output_schemas[0].columns[0].type #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].spark_connector_target.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].spark_connector_target.inputs #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].spark_connector_target.inputs[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].spark_connector_target.connection_name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].spark_connector_target.connector_name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].spark_connector_target.connection_type #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].spark_connector_target.additional_options #=> Hash
resp.jobs[0].code_gen_configuration_nodes["NodeId"].spark_connector_target.additional_options["EnclosedInStringProperty"] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].spark_connector_target.output_schemas #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].spark_connector_target.output_schemas[0].columns #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].spark_connector_target.output_schemas[0].columns[0].name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].spark_connector_target.output_schemas[0].columns[0].type #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_target.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_target.inputs #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_target.inputs[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_target.database #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_target.table #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].redshift_target.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].redshift_target.inputs #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].redshift_target.inputs[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].redshift_target.database #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].redshift_target.table #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].redshift_target.redshift_tmp_dir #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].redshift_target.tmp_dir_iam_role #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].redshift_target.upsert_redshift_options.table_location #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].redshift_target.upsert_redshift_options.connection_name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].redshift_target.upsert_redshift_options.upsert_keys #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].redshift_target.upsert_redshift_options.upsert_keys[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_catalog_target.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_catalog_target.inputs #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_catalog_target.inputs[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_catalog_target.partition_keys #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_catalog_target.partition_keys[0] #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_catalog_target.partition_keys[0][0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_catalog_target.table #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_catalog_target.database #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_catalog_target.schema_change_policy.enable_update_catalog #=> Boolean
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_catalog_target.schema_change_policy.update_behavior #=> String, one of "UPDATE_IN_DATABASE", "LOG"
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_glue_parquet_target.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_glue_parquet_target.inputs #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_glue_parquet_target.inputs[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_glue_parquet_target.partition_keys #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_glue_parquet_target.partition_keys[0] #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_glue_parquet_target.partition_keys[0][0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_glue_parquet_target.path #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_glue_parquet_target.compression #=> String, one of "snappy", "lzo", "gzip", "uncompressed", "none"
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_glue_parquet_target.schema_change_policy.enable_update_catalog #=> Boolean
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_glue_parquet_target.schema_change_policy.update_behavior #=> String, one of "UPDATE_IN_DATABASE", "LOG"
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_glue_parquet_target.schema_change_policy.table #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_glue_parquet_target.schema_change_policy.database #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_direct_target.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_direct_target.inputs #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_direct_target.inputs[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_direct_target.partition_keys #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_direct_target.partition_keys[0] #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_direct_target.partition_keys[0][0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_direct_target.path #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_direct_target.compression #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_direct_target.format #=> String, one of "json", "csv", "avro", "orc", "parquet", "hudi", "delta"
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_direct_target.schema_change_policy.enable_update_catalog #=> Boolean
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_direct_target.schema_change_policy.update_behavior #=> String, one of "UPDATE_IN_DATABASE", "LOG"
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_direct_target.schema_change_policy.table #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_direct_target.schema_change_policy.database #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].apply_mapping.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].apply_mapping.inputs #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].apply_mapping.inputs[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].apply_mapping.mapping #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].apply_mapping.mapping[0].to_key #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].apply_mapping.mapping[0].from_path #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].apply_mapping.mapping[0].from_path[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].apply_mapping.mapping[0].from_type #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].apply_mapping.mapping[0].to_type #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].apply_mapping.mapping[0].dropped #=> Boolean
resp.jobs[0].code_gen_configuration_nodes["NodeId"].apply_mapping.mapping[0].children #=> Types::Mappings
resp.jobs[0].code_gen_configuration_nodes["NodeId"].select_fields.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].select_fields.inputs #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].select_fields.inputs[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].select_fields.paths #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].select_fields.paths[0] #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].select_fields.paths[0][0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].drop_fields.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].drop_fields.inputs #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].drop_fields.inputs[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].drop_fields.paths #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].drop_fields.paths[0] #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].drop_fields.paths[0][0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].rename_field.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].rename_field.inputs #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].rename_field.inputs[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].rename_field.source_path #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].rename_field.source_path[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].rename_field.target_path #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].rename_field.target_path[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].spigot.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].spigot.inputs #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].spigot.inputs[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].spigot.path #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].spigot.topk #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].spigot.prob #=> Float
resp.jobs[0].code_gen_configuration_nodes["NodeId"].join.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].join.inputs #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].join.inputs[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].join.join_type #=> String, one of "equijoin", "left", "right", "outer", "leftsemi", "leftanti"
resp.jobs[0].code_gen_configuration_nodes["NodeId"].join.columns #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].join.columns[0].from #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].join.columns[0].keys #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].join.columns[0].keys[0] #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].join.columns[0].keys[0][0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].split_fields.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].split_fields.inputs #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].split_fields.inputs[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].split_fields.paths #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].split_fields.paths[0] #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].split_fields.paths[0][0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].select_from_collection.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].select_from_collection.inputs #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].select_from_collection.inputs[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].select_from_collection.index #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].fill_missing_values.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].fill_missing_values.inputs #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].fill_missing_values.inputs[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].fill_missing_values.imputed_path #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].fill_missing_values.filled_path #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].filter.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].filter.inputs #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].filter.inputs[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].filter.logical_operator #=> String, one of "AND", "OR"
resp.jobs[0].code_gen_configuration_nodes["NodeId"].filter.filters #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].filter.filters[0].operation #=> String, one of "EQ", "LT", "GT", "LTE", "GTE", "REGEX", "ISNULL"
resp.jobs[0].code_gen_configuration_nodes["NodeId"].filter.filters[0].negated #=> Boolean
resp.jobs[0].code_gen_configuration_nodes["NodeId"].filter.filters[0].values #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].filter.filters[0].values[0].type #=> String, one of "COLUMNEXTRACTED", "CONSTANT"
resp.jobs[0].code_gen_configuration_nodes["NodeId"].filter.filters[0].values[0].value #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].filter.filters[0].values[0].value[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].custom_code.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].custom_code.inputs #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].custom_code.inputs[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].custom_code.code #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].custom_code.class_name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].custom_code.output_schemas #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].custom_code.output_schemas[0].columns #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].custom_code.output_schemas[0].columns[0].name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].custom_code.output_schemas[0].columns[0].type #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].spark_sql.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].spark_sql.inputs #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].spark_sql.inputs[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].spark_sql.sql_query #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].spark_sql.sql_aliases #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].spark_sql.sql_aliases[0].from #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].spark_sql.sql_aliases[0].alias #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].spark_sql.output_schemas #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].spark_sql.output_schemas[0].columns #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].spark_sql.output_schemas[0].columns[0].name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].spark_sql.output_schemas[0].columns[0].type #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].direct_kinesis_source.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].direct_kinesis_source.window_size #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].direct_kinesis_source.detect_schema #=> Boolean
resp.jobs[0].code_gen_configuration_nodes["NodeId"].direct_kinesis_source.streaming_options.endpoint_url #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].direct_kinesis_source.streaming_options.stream_name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].direct_kinesis_source.streaming_options.classification #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].direct_kinesis_source.streaming_options.delimiter #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].direct_kinesis_source.streaming_options.starting_position #=> String, one of "latest", "trim_horizon", "earliest", "timestamp"
resp.jobs[0].code_gen_configuration_nodes["NodeId"].direct_kinesis_source.streaming_options.max_fetch_time_in_ms #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].direct_kinesis_source.streaming_options.max_fetch_records_per_shard #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].direct_kinesis_source.streaming_options.max_record_per_read #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].direct_kinesis_source.streaming_options.add_idle_time_between_reads #=> Boolean
resp.jobs[0].code_gen_configuration_nodes["NodeId"].direct_kinesis_source.streaming_options.idle_time_between_reads_in_ms #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].direct_kinesis_source.streaming_options.describe_shard_interval #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].direct_kinesis_source.streaming_options.num_retries #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].direct_kinesis_source.streaming_options.retry_interval_ms #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].direct_kinesis_source.streaming_options.max_retry_interval_ms #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].direct_kinesis_source.streaming_options.avoid_empty_batches #=> Boolean
resp.jobs[0].code_gen_configuration_nodes["NodeId"].direct_kinesis_source.streaming_options.stream_arn #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].direct_kinesis_source.streaming_options.role_arn #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].direct_kinesis_source.streaming_options.role_session_name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].direct_kinesis_source.streaming_options.add_record_timestamp #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].direct_kinesis_source.streaming_options.emit_consumer_lag_metrics #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].direct_kinesis_source.streaming_options.starting_timestamp #=> Time
resp.jobs[0].code_gen_configuration_nodes["NodeId"].direct_kinesis_source.data_preview_options.polling_time #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].direct_kinesis_source.data_preview_options.record_polling_limit #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].direct_kafka_source.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].direct_kafka_source.streaming_options.bootstrap_servers #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].direct_kafka_source.streaming_options.security_protocol #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].direct_kafka_source.streaming_options.connection_name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].direct_kafka_source.streaming_options.topic_name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].direct_kafka_source.streaming_options.assign #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].direct_kafka_source.streaming_options.subscribe_pattern #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].direct_kafka_source.streaming_options.classification #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].direct_kafka_source.streaming_options.delimiter #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].direct_kafka_source.streaming_options.starting_offsets #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].direct_kafka_source.streaming_options.ending_offsets #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].direct_kafka_source.streaming_options.poll_timeout_ms #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].direct_kafka_source.streaming_options.num_retries #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].direct_kafka_source.streaming_options.retry_interval_ms #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].direct_kafka_source.streaming_options.max_offsets_per_trigger #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].direct_kafka_source.streaming_options.min_partitions #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].direct_kafka_source.streaming_options.include_headers #=> Boolean
resp.jobs[0].code_gen_configuration_nodes["NodeId"].direct_kafka_source.streaming_options.add_record_timestamp #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].direct_kafka_source.streaming_options.emit_consumer_lag_metrics #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].direct_kafka_source.streaming_options.starting_timestamp #=> Time
resp.jobs[0].code_gen_configuration_nodes["NodeId"].direct_kafka_source.window_size #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].direct_kafka_source.detect_schema #=> Boolean
resp.jobs[0].code_gen_configuration_nodes["NodeId"].direct_kafka_source.data_preview_options.polling_time #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].direct_kafka_source.data_preview_options.record_polling_limit #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_kinesis_source.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_kinesis_source.window_size #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_kinesis_source.detect_schema #=> Boolean
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_kinesis_source.table #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_kinesis_source.database #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_kinesis_source.streaming_options.endpoint_url #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_kinesis_source.streaming_options.stream_name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_kinesis_source.streaming_options.classification #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_kinesis_source.streaming_options.delimiter #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_kinesis_source.streaming_options.starting_position #=> String, one of "latest", "trim_horizon", "earliest", "timestamp"
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_kinesis_source.streaming_options.max_fetch_time_in_ms #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_kinesis_source.streaming_options.max_fetch_records_per_shard #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_kinesis_source.streaming_options.max_record_per_read #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_kinesis_source.streaming_options.add_idle_time_between_reads #=> Boolean
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_kinesis_source.streaming_options.idle_time_between_reads_in_ms #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_kinesis_source.streaming_options.describe_shard_interval #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_kinesis_source.streaming_options.num_retries #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_kinesis_source.streaming_options.retry_interval_ms #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_kinesis_source.streaming_options.max_retry_interval_ms #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_kinesis_source.streaming_options.avoid_empty_batches #=> Boolean
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_kinesis_source.streaming_options.stream_arn #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_kinesis_source.streaming_options.role_arn #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_kinesis_source.streaming_options.role_session_name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_kinesis_source.streaming_options.add_record_timestamp #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_kinesis_source.streaming_options.emit_consumer_lag_metrics #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_kinesis_source.streaming_options.starting_timestamp #=> Time
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_kinesis_source.data_preview_options.polling_time #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_kinesis_source.data_preview_options.record_polling_limit #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_kafka_source.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_kafka_source.window_size #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_kafka_source.detect_schema #=> Boolean
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_kafka_source.table #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_kafka_source.database #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_kafka_source.streaming_options.bootstrap_servers #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_kafka_source.streaming_options.security_protocol #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_kafka_source.streaming_options.connection_name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_kafka_source.streaming_options.topic_name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_kafka_source.streaming_options.assign #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_kafka_source.streaming_options.subscribe_pattern #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_kafka_source.streaming_options.classification #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_kafka_source.streaming_options.delimiter #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_kafka_source.streaming_options.starting_offsets #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_kafka_source.streaming_options.ending_offsets #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_kafka_source.streaming_options.poll_timeout_ms #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_kafka_source.streaming_options.num_retries #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_kafka_source.streaming_options.retry_interval_ms #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_kafka_source.streaming_options.max_offsets_per_trigger #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_kafka_source.streaming_options.min_partitions #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_kafka_source.streaming_options.include_headers #=> Boolean
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_kafka_source.streaming_options.add_record_timestamp #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_kafka_source.streaming_options.emit_consumer_lag_metrics #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_kafka_source.streaming_options.starting_timestamp #=> Time
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_kafka_source.data_preview_options.polling_time #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_kafka_source.data_preview_options.record_polling_limit #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].drop_null_fields.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].drop_null_fields.inputs #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].drop_null_fields.inputs[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].drop_null_fields.null_check_box_list.is_empty #=> Boolean
resp.jobs[0].code_gen_configuration_nodes["NodeId"].drop_null_fields.null_check_box_list.is_null_string #=> Boolean
resp.jobs[0].code_gen_configuration_nodes["NodeId"].drop_null_fields.null_check_box_list.is_neg_one #=> Boolean
resp.jobs[0].code_gen_configuration_nodes["NodeId"].drop_null_fields.null_text_list #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].drop_null_fields.null_text_list[0].value #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].drop_null_fields.null_text_list[0].datatype.id #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].drop_null_fields.null_text_list[0].datatype.label #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].merge.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].merge.inputs #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].merge.inputs[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].merge.source #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].merge.primary_keys #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].merge.primary_keys[0] #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].merge.primary_keys[0][0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].union.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].union.inputs #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].union.inputs[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].union.union_type #=> String, one of "ALL", "DISTINCT"
resp.jobs[0].code_gen_configuration_nodes["NodeId"].pii_detection.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].pii_detection.inputs #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].pii_detection.inputs[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].pii_detection.pii_type #=> String, one of "RowAudit", "RowMasking", "ColumnAudit", "ColumnMasking"
resp.jobs[0].code_gen_configuration_nodes["NodeId"].pii_detection.entity_types_to_detect #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].pii_detection.entity_types_to_detect[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].pii_detection.output_column_name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].pii_detection.sample_fraction #=> Float
resp.jobs[0].code_gen_configuration_nodes["NodeId"].pii_detection.threshold_fraction #=> Float
resp.jobs[0].code_gen_configuration_nodes["NodeId"].pii_detection.mask_value #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].aggregate.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].aggregate.inputs #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].aggregate.inputs[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].aggregate.groups #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].aggregate.groups[0] #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].aggregate.groups[0][0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].aggregate.aggs #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].aggregate.aggs[0].column #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].aggregate.aggs[0].column[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].aggregate.aggs[0].agg_func #=> String, one of "avg", "countDistinct", "count", "first", "last", "kurtosis", "max", "min", "skewness", "stddev_samp", "stddev_pop", "sum", "sumDistinct", "var_samp", "var_pop"
resp.jobs[0].code_gen_configuration_nodes["NodeId"].drop_duplicates.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].drop_duplicates.inputs #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].drop_duplicates.inputs[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].drop_duplicates.columns #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].drop_duplicates.columns[0] #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].drop_duplicates.columns[0][0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].governed_catalog_target.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].governed_catalog_target.inputs #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].governed_catalog_target.inputs[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].governed_catalog_target.partition_keys #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].governed_catalog_target.partition_keys[0] #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].governed_catalog_target.partition_keys[0][0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].governed_catalog_target.table #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].governed_catalog_target.database #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].governed_catalog_target.schema_change_policy.enable_update_catalog #=> Boolean
resp.jobs[0].code_gen_configuration_nodes["NodeId"].governed_catalog_target.schema_change_policy.update_behavior #=> String, one of "UPDATE_IN_DATABASE", "LOG"
resp.jobs[0].code_gen_configuration_nodes["NodeId"].governed_catalog_source.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].governed_catalog_source.database #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].governed_catalog_source.table #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].governed_catalog_source.partition_predicate #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].governed_catalog_source.additional_options.bounded_size #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].governed_catalog_source.additional_options.bounded_files #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].microsoft_sql_server_catalog_source.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].microsoft_sql_server_catalog_source.database #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].microsoft_sql_server_catalog_source.table #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].my_sql_catalog_source.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].my_sql_catalog_source.database #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].my_sql_catalog_source.table #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].oracle_sql_catalog_source.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].oracle_sql_catalog_source.database #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].oracle_sql_catalog_source.table #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].postgre_sql_catalog_source.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].postgre_sql_catalog_source.database #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].postgre_sql_catalog_source.table #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].microsoft_sql_server_catalog_target.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].microsoft_sql_server_catalog_target.inputs #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].microsoft_sql_server_catalog_target.inputs[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].microsoft_sql_server_catalog_target.database #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].microsoft_sql_server_catalog_target.table #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].my_sql_catalog_target.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].my_sql_catalog_target.inputs #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].my_sql_catalog_target.inputs[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].my_sql_catalog_target.database #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].my_sql_catalog_target.table #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].oracle_sql_catalog_target.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].oracle_sql_catalog_target.inputs #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].oracle_sql_catalog_target.inputs[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].oracle_sql_catalog_target.database #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].oracle_sql_catalog_target.table #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].postgre_sql_catalog_target.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].postgre_sql_catalog_target.inputs #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].postgre_sql_catalog_target.inputs[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].postgre_sql_catalog_target.database #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].postgre_sql_catalog_target.table #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].dynamic_transform.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].dynamic_transform.transform_name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].dynamic_transform.inputs #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].dynamic_transform.inputs[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].dynamic_transform.parameters #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].dynamic_transform.parameters[0].name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].dynamic_transform.parameters[0].type #=> String, one of "str", "int", "float", "complex", "bool", "list", "null"
resp.jobs[0].code_gen_configuration_nodes["NodeId"].dynamic_transform.parameters[0].validation_rule #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].dynamic_transform.parameters[0].validation_message #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].dynamic_transform.parameters[0].value #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].dynamic_transform.parameters[0].value[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].dynamic_transform.parameters[0].list_type #=> String, one of "str", "int", "float", "complex", "bool", "list", "null"
resp.jobs[0].code_gen_configuration_nodes["NodeId"].dynamic_transform.parameters[0].is_optional #=> Boolean
resp.jobs[0].code_gen_configuration_nodes["NodeId"].dynamic_transform.function_name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].dynamic_transform.path #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].dynamic_transform.version #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].dynamic_transform.output_schemas #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].dynamic_transform.output_schemas[0].columns #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].dynamic_transform.output_schemas[0].columns[0].name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].dynamic_transform.output_schemas[0].columns[0].type #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].evaluate_data_quality.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].evaluate_data_quality.inputs #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].evaluate_data_quality.inputs[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].evaluate_data_quality.ruleset #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].evaluate_data_quality.output #=> String, one of "PrimaryInput", "EvaluationResults"
resp.jobs[0].code_gen_configuration_nodes["NodeId"].evaluate_data_quality.publishing_options.evaluation_context #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].evaluate_data_quality.publishing_options.results_s3_prefix #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].evaluate_data_quality.publishing_options.cloud_watch_metrics_enabled #=> Boolean
resp.jobs[0].code_gen_configuration_nodes["NodeId"].evaluate_data_quality.publishing_options.results_publishing_enabled #=> Boolean
resp.jobs[0].code_gen_configuration_nodes["NodeId"].evaluate_data_quality.stop_job_on_failure_options.stop_job_on_failure_timing #=> String, one of "Immediate", "AfterDataLoad"
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_catalog_hudi_source.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_catalog_hudi_source.database #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_catalog_hudi_source.table #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_catalog_hudi_source.additional_hudi_options #=> Hash
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_catalog_hudi_source.additional_hudi_options["EnclosedInStringProperty"] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_catalog_hudi_source.output_schemas #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_catalog_hudi_source.output_schemas[0].columns #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_catalog_hudi_source.output_schemas[0].columns[0].name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_catalog_hudi_source.output_schemas[0].columns[0].type #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_hudi_source.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_hudi_source.database #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_hudi_source.table #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_hudi_source.additional_hudi_options #=> Hash
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_hudi_source.additional_hudi_options["EnclosedInStringProperty"] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_hudi_source.output_schemas #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_hudi_source.output_schemas[0].columns #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_hudi_source.output_schemas[0].columns[0].name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_hudi_source.output_schemas[0].columns[0].type #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_hudi_source.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_hudi_source.paths #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_hudi_source.paths[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_hudi_source.additional_hudi_options #=> Hash
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_hudi_source.additional_hudi_options["EnclosedInStringProperty"] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_hudi_source.additional_options.bounded_size #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_hudi_source.additional_options.bounded_files #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_hudi_source.additional_options.enable_sample_path #=> Boolean
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_hudi_source.additional_options.sample_path #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_hudi_source.output_schemas #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_hudi_source.output_schemas[0].columns #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_hudi_source.output_schemas[0].columns[0].name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_hudi_source.output_schemas[0].columns[0].type #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_hudi_catalog_target.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_hudi_catalog_target.inputs #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_hudi_catalog_target.inputs[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_hudi_catalog_target.partition_keys #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_hudi_catalog_target.partition_keys[0] #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_hudi_catalog_target.partition_keys[0][0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_hudi_catalog_target.table #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_hudi_catalog_target.database #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_hudi_catalog_target.additional_options #=> Hash
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_hudi_catalog_target.additional_options["EnclosedInStringProperty"] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_hudi_catalog_target.schema_change_policy.enable_update_catalog #=> Boolean
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_hudi_catalog_target.schema_change_policy.update_behavior #=> String, one of "UPDATE_IN_DATABASE", "LOG"
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_hudi_direct_target.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_hudi_direct_target.inputs #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_hudi_direct_target.inputs[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_hudi_direct_target.path #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_hudi_direct_target.compression #=> String, one of "gzip", "lzo", "uncompressed", "snappy"
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_hudi_direct_target.partition_keys #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_hudi_direct_target.partition_keys[0] #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_hudi_direct_target.partition_keys[0][0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_hudi_direct_target.format #=> String, one of "json", "csv", "avro", "orc", "parquet", "hudi", "delta"
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_hudi_direct_target.additional_options #=> Hash
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_hudi_direct_target.additional_options["EnclosedInStringProperty"] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_hudi_direct_target.schema_change_policy.enable_update_catalog #=> Boolean
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_hudi_direct_target.schema_change_policy.update_behavior #=> String, one of "UPDATE_IN_DATABASE", "LOG"
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_hudi_direct_target.schema_change_policy.table #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_hudi_direct_target.schema_change_policy.database #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].direct_jdbc_source.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].direct_jdbc_source.database #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].direct_jdbc_source.table #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].direct_jdbc_source.connection_name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].direct_jdbc_source.connection_type #=> String, one of "sqlserver", "mysql", "oracle", "postgresql", "redshift"
resp.jobs[0].code_gen_configuration_nodes["NodeId"].direct_jdbc_source.redshift_tmp_dir #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_catalog_delta_source.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_catalog_delta_source.database #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_catalog_delta_source.table #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_catalog_delta_source.additional_delta_options #=> Hash
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_catalog_delta_source.additional_delta_options["EnclosedInStringProperty"] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_catalog_delta_source.output_schemas #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_catalog_delta_source.output_schemas[0].columns #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_catalog_delta_source.output_schemas[0].columns[0].name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_catalog_delta_source.output_schemas[0].columns[0].type #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_delta_source.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_delta_source.database #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_delta_source.table #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_delta_source.additional_delta_options #=> Hash
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_delta_source.additional_delta_options["EnclosedInStringProperty"] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_delta_source.output_schemas #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_delta_source.output_schemas[0].columns #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_delta_source.output_schemas[0].columns[0].name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_delta_source.output_schemas[0].columns[0].type #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_delta_source.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_delta_source.paths #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_delta_source.paths[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_delta_source.additional_delta_options #=> Hash
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_delta_source.additional_delta_options["EnclosedInStringProperty"] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_delta_source.additional_options.bounded_size #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_delta_source.additional_options.bounded_files #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_delta_source.additional_options.enable_sample_path #=> Boolean
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_delta_source.additional_options.sample_path #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_delta_source.output_schemas #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_delta_source.output_schemas[0].columns #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_delta_source.output_schemas[0].columns[0].name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_delta_source.output_schemas[0].columns[0].type #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_delta_catalog_target.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_delta_catalog_target.inputs #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_delta_catalog_target.inputs[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_delta_catalog_target.partition_keys #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_delta_catalog_target.partition_keys[0] #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_delta_catalog_target.partition_keys[0][0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_delta_catalog_target.table #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_delta_catalog_target.database #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_delta_catalog_target.additional_options #=> Hash
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_delta_catalog_target.additional_options["EnclosedInStringProperty"] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_delta_catalog_target.schema_change_policy.enable_update_catalog #=> Boolean
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_delta_catalog_target.schema_change_policy.update_behavior #=> String, one of "UPDATE_IN_DATABASE", "LOG"
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_delta_direct_target.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_delta_direct_target.inputs #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_delta_direct_target.inputs[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_delta_direct_target.partition_keys #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_delta_direct_target.partition_keys[0] #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_delta_direct_target.partition_keys[0][0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_delta_direct_target.path #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_delta_direct_target.compression #=> String, one of "uncompressed", "snappy"
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_delta_direct_target.format #=> String, one of "json", "csv", "avro", "orc", "parquet", "hudi", "delta"
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_delta_direct_target.additional_options #=> Hash
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_delta_direct_target.additional_options["EnclosedInStringProperty"] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_delta_direct_target.schema_change_policy.enable_update_catalog #=> Boolean
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_delta_direct_target.schema_change_policy.update_behavior #=> String, one of "UPDATE_IN_DATABASE", "LOG"
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_delta_direct_target.schema_change_policy.table #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_delta_direct_target.schema_change_policy.database #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_source.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.access_type #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.source_type #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.connection.value #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.connection.label #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.connection.description #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.schema.value #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.schema.label #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.schema.description #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.table.value #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.table.label #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.table.description #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.catalog_database.value #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.catalog_database.label #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.catalog_database.description #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.catalog_table.value #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.catalog_table.label #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.catalog_table.description #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.catalog_redshift_schema #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.catalog_redshift_table #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.temp_dir #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.iam_role.value #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.iam_role.label #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.iam_role.description #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.advanced_options #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.advanced_options[0].key #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.advanced_options[0].value #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.sample_query #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.pre_action #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.post_action #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.action #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.table_prefix #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.upsert #=> Boolean
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.merge_action #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.merge_when_matched #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.merge_when_not_matched #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.merge_clause #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.crawler_connection #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.table_schema #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.table_schema[0].value #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.table_schema[0].label #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.table_schema[0].description #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.staging_table #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.selected_columns #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.selected_columns[0].value #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.selected_columns[0].label #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.selected_columns[0].description #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_target.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.access_type #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.source_type #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.connection.value #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.connection.label #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.connection.description #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.schema.value #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.schema.label #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.schema.description #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.table.value #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.table.label #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.table.description #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.catalog_database.value #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.catalog_database.label #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.catalog_database.description #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.catalog_table.value #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.catalog_table.label #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.catalog_table.description #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.catalog_redshift_schema #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.catalog_redshift_table #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.temp_dir #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.iam_role.value #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.iam_role.label #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.iam_role.description #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.advanced_options #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.advanced_options[0].key #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.advanced_options[0].value #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.sample_query #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.pre_action #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.post_action #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.action #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.table_prefix #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.upsert #=> Boolean
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.merge_action #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.merge_when_matched #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.merge_when_not_matched #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.merge_clause #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.crawler_connection #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.table_schema #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.table_schema[0].value #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.table_schema[0].label #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.table_schema[0].description #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.staging_table #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.selected_columns #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.selected_columns[0].value #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.selected_columns[0].label #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.selected_columns[0].description #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_target.inputs #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_target.inputs[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].evaluate_data_quality_multi_frame.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].evaluate_data_quality_multi_frame.inputs #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].evaluate_data_quality_multi_frame.inputs[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].evaluate_data_quality_multi_frame.additional_data_sources #=> Hash
resp.jobs[0].code_gen_configuration_nodes["NodeId"].evaluate_data_quality_multi_frame.additional_data_sources["NodeName"] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].evaluate_data_quality_multi_frame.ruleset #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].evaluate_data_quality_multi_frame.publishing_options.evaluation_context #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].evaluate_data_quality_multi_frame.publishing_options.results_s3_prefix #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].evaluate_data_quality_multi_frame.publishing_options.cloud_watch_metrics_enabled #=> Boolean
resp.jobs[0].code_gen_configuration_nodes["NodeId"].evaluate_data_quality_multi_frame.publishing_options.results_publishing_enabled #=> Boolean
resp.jobs[0].code_gen_configuration_nodes["NodeId"].evaluate_data_quality_multi_frame.additional_options #=> Hash
resp.jobs[0].code_gen_configuration_nodes["NodeId"].evaluate_data_quality_multi_frame.additional_options["AdditionalOptionKeys"] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].evaluate_data_quality_multi_frame.stop_job_on_failure_options.stop_job_on_failure_timing #=> String, one of "Immediate", "AfterDataLoad"
resp.jobs[0].code_gen_configuration_nodes["NodeId"].recipe.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].recipe.inputs #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].recipe.inputs[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].recipe.recipe_reference.recipe_arn #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].recipe.recipe_reference.recipe_version #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_source.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_source.data.source_type #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_source.data.connection.value #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_source.data.connection.label #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_source.data.connection.description #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_source.data.schema #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_source.data.table #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_source.data.database #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_source.data.temp_dir #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_source.data.iam_role.value #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_source.data.iam_role.label #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_source.data.iam_role.description #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_source.data.additional_options #=> Hash
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_source.data.additional_options["EnclosedInStringProperty"] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_source.data.sample_query #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_source.data.pre_action #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_source.data.post_action #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_source.data.action #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_source.data.upsert #=> Boolean
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_source.data.merge_action #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_source.data.merge_when_matched #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_source.data.merge_when_not_matched #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_source.data.merge_clause #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_source.data.staging_table #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_source.data.selected_columns #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_source.data.selected_columns[0].value #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_source.data.selected_columns[0].label #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_source.data.selected_columns[0].description #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_source.data.auto_pushdown #=> Boolean
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_source.data.table_schema #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_source.data.table_schema[0].value #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_source.data.table_schema[0].label #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_source.data.table_schema[0].description #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_source.output_schemas #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_source.output_schemas[0].columns #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_source.output_schemas[0].columns[0].name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_source.output_schemas[0].columns[0].type #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_target.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_target.data.source_type #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_target.data.connection.value #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_target.data.connection.label #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_target.data.connection.description #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_target.data.schema #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_target.data.table #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_target.data.database #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_target.data.temp_dir #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_target.data.iam_role.value #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_target.data.iam_role.label #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_target.data.iam_role.description #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_target.data.additional_options #=> Hash
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_target.data.additional_options["EnclosedInStringProperty"] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_target.data.sample_query #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_target.data.pre_action #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_target.data.post_action #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_target.data.action #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_target.data.upsert #=> Boolean
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_target.data.merge_action #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_target.data.merge_when_matched #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_target.data.merge_when_not_matched #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_target.data.merge_clause #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_target.data.staging_table #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_target.data.selected_columns #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_target.data.selected_columns[0].value #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_target.data.selected_columns[0].label #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_target.data.selected_columns[0].description #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_target.data.auto_pushdown #=> Boolean
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_target.data.table_schema #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_target.data.table_schema[0].value #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_target.data.table_schema[0].label #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_target.data.table_schema[0].description #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_target.inputs #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_target.inputs[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].connector_data_source.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].connector_data_source.connection_type #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].connector_data_source.data #=> Hash
resp.jobs[0].code_gen_configuration_nodes["NodeId"].connector_data_source.data["GenericString"] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].connector_data_source.output_schemas #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].connector_data_source.output_schemas[0].columns #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].connector_data_source.output_schemas[0].columns[0].name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].connector_data_source.output_schemas[0].columns[0].type #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].connector_data_target.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].connector_data_target.connection_type #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].connector_data_target.data #=> Hash
resp.jobs[0].code_gen_configuration_nodes["NodeId"].connector_data_target.data["GenericString"] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].connector_data_target.inputs #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].connector_data_target.inputs[0] #=> String
resp.jobs[0].execution_class #=> String, one of "FLEX", "STANDARD"
resp.jobs[0].source_control_details.provider #=> String, one of "GITHUB", "GITLAB", "BITBUCKET", "AWS_CODE_COMMIT"
resp.jobs[0].source_control_details.repository #=> String
resp.jobs[0].source_control_details.owner #=> String
resp.jobs[0].source_control_details.branch #=> String
resp.jobs[0].source_control_details.folder #=> String
resp.jobs[0].source_control_details.last_commit_id #=> String
resp.jobs[0].source_control_details.auth_strategy #=> String, one of "PERSONAL_ACCESS_TOKEN", "AWS_SECRETS_MANAGER"
resp.jobs[0].source_control_details.auth_token #=> String
resp.jobs[0].maintenance_window #=> String
resp.jobs[0].profile_name #=> String
resp.jobs_not_found #=> Array
resp.jobs_not_found[0] #=> String

Parameters:

• params (Hash) (defaults to: {}) —

  ({})

Options Hash (params):

• :job_names (required, Array<String>) —

  A list of job names, which might be the names returned from the ‘ListJobs` operation.

Returns:

• (Types::BatchGetJobsResponse) —

  Returns a response object which responds to the following methods:

  • #jobs => Array&lt;Types::Job&gt;

  • #jobs_not_found => Array&lt;String&gt;

See Also:

• AWS API Documentation

# File 'lib/aws-sdk-glue/client.rb', line 1985

def batch_get_jobs(params = {}, options = {})
  req = build_request(:batch_get_jobs, params)
  req.send_request(options)
end

#batch_get_partition(params = {}) ⇒ Types::BatchGetPartitionResponse

Retrieves partitions in a batch request.

Examples:

Request syntax with placeholder values

resp = client.batch_get_partition({
  catalog_id: "CatalogIdString",
  database_name: "NameString", # required
  table_name: "NameString", # required
  partitions_to_get: [ # required
    {
      values: ["ValueString"], # required
    },
  ],
})

Response structure

resp.partitions #=> Array
resp.partitions[0].values #=> Array
resp.partitions[0].values[0] #=> String
resp.partitions[0].database_name #=> String
resp.partitions[0].table_name #=> String
resp.partitions[0].creation_time #=> Time
resp.partitions[0].last_access_time #=> Time
resp.partitions[0].storage_descriptor.columns #=> Array
resp.partitions[0].storage_descriptor.columns[0].name #=> String
resp.partitions[0].storage_descriptor.columns[0].type #=> String
resp.partitions[0].storage_descriptor.columns[0].comment #=> String
resp.partitions[0].storage_descriptor.columns[0].parameters #=> Hash
resp.partitions[0].storage_descriptor.columns[0].parameters["KeyString"] #=> String
resp.partitions[0].storage_descriptor.location #=> String
resp.partitions[0].storage_descriptor.additional_locations #=> Array
resp.partitions[0].storage_descriptor.additional_locations[0] #=> String
resp.partitions[0].storage_descriptor.input_format #=> String
resp.partitions[0].storage_descriptor.output_format #=> String
resp.partitions[0].storage_descriptor.compressed #=> Boolean
resp.partitions[0].storage_descriptor.number_of_buckets #=> Integer
resp.partitions[0].storage_descriptor.serde_info.name #=> String
resp.partitions[0].storage_descriptor.serde_info.serialization_library #=> String
resp.partitions[0].storage_descriptor.serde_info.parameters #=> Hash
resp.partitions[0].storage_descriptor.serde_info.parameters["KeyString"] #=> String
resp.partitions[0].storage_descriptor.bucket_columns #=> Array
resp.partitions[0].storage_descriptor.bucket_columns[0] #=> String
resp.partitions[0].storage_descriptor.sort_columns #=> Array
resp.partitions[0].storage_descriptor.sort_columns[0].column #=> String
resp.partitions[0].storage_descriptor.sort_columns[0].sort_order #=> Integer
resp.partitions[0].storage_descriptor.parameters #=> Hash
resp.partitions[0].storage_descriptor.parameters["KeyString"] #=> String
resp.partitions[0].storage_descriptor.skewed_info.skewed_column_names #=> Array
resp.partitions[0].storage_descriptor.skewed_info.skewed_column_names[0] #=> String
resp.partitions[0].storage_descriptor.skewed_info.skewed_column_values #=> Array
resp.partitions[0].storage_descriptor.skewed_info.skewed_column_values[0] #=> String
resp.partitions[0].storage_descriptor.skewed_info.skewed_column_value_location_maps #=> Hash
resp.partitions[0].storage_descriptor.skewed_info.skewed_column_value_location_maps["ColumnValuesString"] #=> String
resp.partitions[0].storage_descriptor.stored_as_sub_directories #=> Boolean
resp.partitions[0].storage_descriptor.schema_reference.schema_id.schema_arn #=> String
resp.partitions[0].storage_descriptor.schema_reference.schema_id.schema_name #=> String
resp.partitions[0].storage_descriptor.schema_reference.schema_id.registry_name #=> String
resp.partitions[0].storage_descriptor.schema_reference.schema_version_id #=> String
resp.partitions[0].storage_descriptor.schema_reference.schema_version_number #=> Integer
resp.partitions[0].parameters #=> Hash
resp.partitions[0].parameters["KeyString"] #=> String
resp.partitions[0].last_analyzed_time #=> Time
resp.partitions[0].catalog_id #=> String
resp.unprocessed_keys #=> Array
resp.unprocessed_keys[0].values #=> Array
resp.unprocessed_keys[0].values[0] #=> String

Parameters:

• params (Hash) (defaults to: {}) —

  ({})

Options Hash (params):

• :catalog_id (String) —

  The ID of the Data Catalog where the partitions in question reside. If none is supplied, the Amazon Web Services account ID is used by default.

• :database_name (required, String) —

  The name of the catalog database where the partitions reside.

• :table_name (required, String) —

  The name of the partitions’ table.

• :partitions_to_get (required, Array<Types::PartitionValueList>) —

  A list of partition values identifying the partitions to retrieve.

Returns:

• (Types::BatchGetPartitionResponse) —

  Returns a response object which responds to the following methods:

  • #partitions => Array&lt;Types::Partition&gt;

  • #unprocessed_keys => Array&lt;Types::PartitionValueList&gt;

See Also:

• AWS API Documentation

# File 'lib/aws-sdk-glue/client.rb', line 2081

def batch_get_partition(params = {}, options = {})
  req = build_request(:batch_get_partition, params)
  req.send_request(options)
end

#batch_get_table_optimizer(params = {}) ⇒ Types::BatchGetTableOptimizerResponse

Returns the configuration for the specified table optimizers.

Examples:

Request syntax with placeholder values

resp = client.batch_get_table_optimizer({
  entries: [ # required
    {
      catalog_id: "CatalogIdString",
      database_name: "databaseNameString",
      table_name: "tableNameString",
      type: "compaction", # accepts compaction
    },
  ],
})

Response structure

resp.table_optimizers #=> Array
resp.table_optimizers[0].catalog_id #=> String
resp.table_optimizers[0].database_name #=> String
resp.table_optimizers[0].table_name #=> String
resp.table_optimizers[0].table_optimizer.type #=> String, one of "compaction"
resp.table_optimizers[0].table_optimizer.configuration.role_arn #=> String
resp.table_optimizers[0].table_optimizer.configuration.enabled #=> Boolean
resp.table_optimizers[0].table_optimizer.last_run.event_type #=> String, one of "starting", "completed", "failed", "in_progress"
resp.table_optimizers[0].table_optimizer.last_run.start_timestamp #=> Time
resp.table_optimizers[0].table_optimizer.last_run.end_timestamp #=> Time
resp.table_optimizers[0].table_optimizer.last_run.metrics.number_of_bytes_compacted #=> String
resp.table_optimizers[0].table_optimizer.last_run.metrics.number_of_files_compacted #=> String
resp.table_optimizers[0].table_optimizer.last_run.metrics.number_of_dpus #=> String
resp.table_optimizers[0].table_optimizer.last_run.metrics.job_duration_in_hour #=> String
resp.table_optimizers[0].table_optimizer.last_run.error #=> String
resp.failures #=> Array
resp.failures[0].error.error_code #=> String
resp.failures[0].error.error_message #=> String
resp.failures[0].catalog_id #=> String
resp.failures[0].database_name #=> String
resp.failures[0].table_name #=> String
resp.failures[0].type #=> String, one of "compaction"

Parameters:

• params (Hash) (defaults to: {}) —

  ({})

Options Hash (params):

• :entries (required, Array<Types::BatchGetTableOptimizerEntry>) —

  A list of ‘BatchGetTableOptimizerEntry` objects specifying the table optimizers to retrieve.

Returns:

• (Types::BatchGetTableOptimizerResponse) —

  Returns a response object which responds to the following methods:

  • #table_optimizers => Array&lt;Types::BatchTableOptimizer&gt;

  • #failures => Array&lt;Types::BatchGetTableOptimizerError&gt;

See Also:

• AWS API Documentation

# File 'lib/aws-sdk-glue/client.rb', line 2139

def batch_get_table_optimizer(params = {}, options = {})
  req = build_request(:batch_get_table_optimizer, params)
  req.send_request(options)
end

#batch_get_triggers(params = {}) ⇒ Types::BatchGetTriggersResponse

Returns a list of resource metadata for a given list of trigger names. After calling the ‘ListTriggers` operation, you can call this operation to access the data to which you have been granted permissions. This operation supports all IAM permissions, including permission conditions that uses tags.

Examples:

Request syntax with placeholder values

resp = client.batch_get_triggers({
  trigger_names: ["NameString"], # required
})

Response structure

resp.triggers #=> Array
resp.triggers[0].name #=> String
resp.triggers[0].workflow_name #=> String
resp.triggers[0].id #=> String
resp.triggers[0].type #=> String, one of "SCHEDULED", "CONDITIONAL", "ON_DEMAND", "EVENT"
resp.triggers[0].state #=> String, one of "CREATING", "CREATED", "ACTIVATING", "ACTIVATED", "DEACTIVATING", "DEACTIVATED", "DELETING", "UPDATING"
resp.triggers[0].description #=> String
resp.triggers[0].schedule #=> String
resp.triggers[0].actions #=> Array
resp.triggers[0].actions[0].job_name #=> String
resp.triggers[0].actions[0].arguments #=> Hash
resp.triggers[0].actions[0].arguments["GenericString"] #=> String
resp.triggers[0].actions[0].timeout #=> Integer
resp.triggers[0].actions[0].security_configuration #=> String
resp.triggers[0].actions[0].notification_property.notify_delay_after #=> Integer
resp.triggers[0].actions[0].crawler_name #=> String
resp.triggers[0].predicate.logical #=> String, one of "AND", "ANY"
resp.triggers[0].predicate.conditions #=> Array
resp.triggers[0].predicate.conditions[0].logical_operator #=> String, one of "EQUALS"
resp.triggers[0].predicate.conditions[0].job_name #=> String
resp.triggers[0].predicate.conditions[0].state #=> String, one of "STARTING", "RUNNING", "STOPPING", "STOPPED", "SUCCEEDED", "FAILED", "TIMEOUT", "ERROR", "WAITING", "EXPIRED"
resp.triggers[0].predicate.conditions[0].crawler_name #=> String
resp.triggers[0].predicate.conditions[0].crawl_state #=> String, one of "RUNNING", "CANCELLING", "CANCELLED", "SUCCEEDED", "FAILED", "ERROR"
resp.triggers[0].event_batching_condition.batch_size #=> Integer
resp.triggers[0].event_batching_condition.batch_window #=> Integer
resp.triggers_not_found #=> Array
resp.triggers_not_found[0] #=> String

Parameters:

• params (Hash) (defaults to: {}) —

  ({})

Options Hash (params):

• :trigger_names (required, Array<String>) —

  A list of trigger names, which may be the names returned from the ‘ListTriggers` operation.

Returns:

• (Types::BatchGetTriggersResponse) —

  Returns a response object which responds to the following methods:

  • #triggers => Array&lt;Types::Trigger&gt;

  • #triggers_not_found => Array&lt;String&gt;

See Also:

• AWS API Documentation

# File 'lib/aws-sdk-glue/client.rb', line 2199

def batch_get_triggers(params = {}, options = {})
  req = build_request(:batch_get_triggers, params)
  req.send_request(options)
end

#batch_get_workflows(params = {}) ⇒ Types::BatchGetWorkflowsResponse

Returns a list of resource metadata for a given list of workflow names. After calling the ‘ListWorkflows` operation, you can call this operation to access the data to which you have been granted permissions. This operation supports all IAM permissions, including permission conditions that uses tags.

Examples:

Request syntax with placeholder values

resp = client.batch_get_workflows({
  names: ["NameString"], # required
  include_graph: false,
})

Response structure

resp.workflows #=> Array
resp.workflows[0].name #=> String
resp.workflows[0].description #=> String
resp.workflows[0].default_run_properties #=> Hash
resp.workflows[0].default_run_properties["IdString"] #=> String
resp.workflows[0].created_on #=> Time
resp.workflows[0].last_modified_on #=> Time
resp.workflows[0].last_run.name #=> String
resp.workflows[0].last_run.workflow_run_id #=> String
resp.workflows[0].last_run.previous_run_id #=> String
resp.workflows[0].last_run.workflow_run_properties #=> Hash
resp.workflows[0].last_run.workflow_run_properties["IdString"] #=> String
resp.workflows[0].last_run.started_on #=> Time
resp.workflows[0].last_run.completed_on #=> Time
resp.workflows[0].last_run.status #=> String, one of "RUNNING", "COMPLETED", "STOPPING", "STOPPED", "ERROR"
resp.workflows[0].last_run.error_message #=> String
resp.workflows[0].last_run.statistics.total_actions #=> Integer
resp.workflows[0].last_run.statistics.timeout_actions #=> Integer
resp.workflows[0].last_run.statistics.failed_actions #=> Integer
resp.workflows[0].last_run.statistics.stopped_actions #=> Integer
resp.workflows[0].last_run.statistics.succeeded_actions #=> Integer
resp.workflows[0].last_run.statistics.running_actions #=> Integer
resp.workflows[0].last_run.statistics.errored_actions #=> Integer
resp.workflows[0].last_run.statistics.waiting_actions #=> Integer
resp.workflows[0].last_run.graph.nodes #=> Array
resp.workflows[0].last_run.graph.nodes[0].type #=> String, one of "CRAWLER", "JOB", "TRIGGER"
resp.workflows[0].last_run.graph.nodes[0].name #=> String
resp.workflows[0].last_run.graph.nodes[0].unique_id #=> String
resp.workflows[0].last_run.graph.nodes[0].trigger_details.trigger.name #=> String
resp.workflows[0].last_run.graph.nodes[0].trigger_details.trigger.workflow_name #=> String
resp.workflows[0].last_run.graph.nodes[0].trigger_details.trigger.id #=> String
resp.workflows[0].last_run.graph.nodes[0].trigger_details.trigger.type #=> String, one of "SCHEDULED", "CONDITIONAL", "ON_DEMAND", "EVENT"
resp.workflows[0].last_run.graph.nodes[0].trigger_details.trigger.state #=> String, one of "CREATING", "CREATED", "ACTIVATING", "ACTIVATED", "DEACTIVATING", "DEACTIVATED", "DELETING", "UPDATING"
resp.workflows[0].last_run.graph.nodes[0].trigger_details.trigger.description #=> String
resp.workflows[0].last_run.graph.nodes[0].trigger_details.trigger.schedule #=> String
resp.workflows[0].last_run.graph.nodes[0].trigger_details.trigger.actions #=> Array
resp.workflows[0].last_run.graph.nodes[0].trigger_details.trigger.actions[0].job_name #=> String
resp.workflows[0].last_run.graph.nodes[0].trigger_details.trigger.actions[0].arguments #=> Hash
resp.workflows[0].last_run.graph.nodes[0].trigger_details.trigger.actions[0].arguments["GenericString"] #=> String
resp.workflows[0].last_run.graph.nodes[0].trigger_details.trigger.actions[0].timeout #=> Integer
resp.workflows[0].last_run.graph.nodes[0].trigger_details.trigger.actions[0].security_configuration #=> String
resp.workflows[0].last_run.graph.nodes[0].trigger_details.trigger.actions[0].notification_property.notify_delay_after #=> Integer
resp.workflows[0].last_run.graph.nodes[0].trigger_details.trigger.actions[0].crawler_name #=> String
resp.workflows[0].last_run.graph.nodes[0].trigger_details.trigger.predicate.logical #=> String, one of "AND", "ANY"
resp.workflows[0].last_run.graph.nodes[0].trigger_details.trigger.predicate.conditions #=> Array
resp.workflows[0].last_run.graph.nodes[0].trigger_details.trigger.predicate.conditions[0].logical_operator #=> String, one of "EQUALS"
resp.workflows[0].last_run.graph.nodes[0].trigger_details.trigger.predicate.conditions[0].job_name #=> String
resp.workflows[0].last_run.graph.nodes[0].trigger_details.trigger.predicate.conditions[0].state #=> String, one of "STARTING", "RUNNING", "STOPPING", "STOPPED", "SUCCEEDED", "FAILED", "TIMEOUT", "ERROR", "WAITING", "EXPIRED"
resp.workflows[0].last_run.graph.nodes[0].trigger_details.trigger.predicate.conditions[0].crawler_name #=> String
resp.workflows[0].last_run.graph.nodes[0].trigger_details.trigger.predicate.conditions[0].crawl_state #=> String, one of "RUNNING", "CANCELLING", "CANCELLED", "SUCCEEDED", "FAILED", "ERROR"
resp.workflows[0].last_run.graph.nodes[0].trigger_details.trigger.event_batching_condition.batch_size #=> Integer
resp.workflows[0].last_run.graph.nodes[0].trigger_details.trigger.event_batching_condition.batch_window #=> Integer
resp.workflows[0].last_run.graph.nodes[0].job_details.job_runs #=> Array
resp.workflows[0].last_run.graph.nodes[0].job_details.job_runs[0].id #=> String
resp.workflows[0].last_run.graph.nodes[0].job_details.job_runs[0].attempt #=> Integer
resp.workflows[0].last_run.graph.nodes[0].job_details.job_runs[0].previous_run_id #=> String
resp.workflows[0].last_run.graph.nodes[0].job_details.job_runs[0].trigger_name #=> String
resp.workflows[0].last_run.graph.nodes[0].job_details.job_runs[0].job_name #=> String
resp.workflows[0].last_run.graph.nodes[0].job_details.job_runs[0].job_mode #=> String, one of "SCRIPT", "VISUAL", "NOTEBOOK"
resp.workflows[0].last_run.graph.nodes[0].job_details.job_runs[0].started_on #=> Time
resp.workflows[0].last_run.graph.nodes[0].job_details.job_runs[0].last_modified_on #=> Time
resp.workflows[0].last_run.graph.nodes[0].job_details.job_runs[0].completed_on #=> Time
resp.workflows[0].last_run.graph.nodes[0].job_details.job_runs[0].job_run_state #=> String, one of "STARTING", "RUNNING", "STOPPING", "STOPPED", "SUCCEEDED", "FAILED", "TIMEOUT", "ERROR", "WAITING", "EXPIRED"
resp.workflows[0].last_run.graph.nodes[0].job_details.job_runs[0].arguments #=> Hash
resp.workflows[0].last_run.graph.nodes[0].job_details.job_runs[0].arguments["GenericString"] #=> String
resp.workflows[0].last_run.graph.nodes[0].job_details.job_runs[0].error_message #=> String
resp.workflows[0].last_run.graph.nodes[0].job_details.job_runs[0].predecessor_runs #=> Array
resp.workflows[0].last_run.graph.nodes[0].job_details.job_runs[0].predecessor_runs[0].job_name #=> String
resp.workflows[0].last_run.graph.nodes[0].job_details.job_runs[0].predecessor_runs[0].run_id #=> String
resp.workflows[0].last_run.graph.nodes[0].job_details.job_runs[0].allocated_capacity #=> Integer
resp.workflows[0].last_run.graph.nodes[0].job_details.job_runs[0].execution_time #=> Integer
resp.workflows[0].last_run.graph.nodes[0].job_details.job_runs[0].timeout #=> Integer
resp.workflows[0].last_run.graph.nodes[0].job_details.job_runs[0].max_capacity #=> Float
resp.workflows[0].last_run.graph.nodes[0].job_details.job_runs[0].worker_type #=> String, one of "Standard", "G.1X", "G.2X", "G.025X", "G.4X", "G.8X", "Z.2X"
resp.workflows[0].last_run.graph.nodes[0].job_details.job_runs[0].number_of_workers #=> Integer
resp.workflows[0].last_run.graph.nodes[0].job_details.job_runs[0].security_configuration #=> String
resp.workflows[0].last_run.graph.nodes[0].job_details.job_runs[0].log_group_name #=> String
resp.workflows[0].last_run.graph.nodes[0].job_details.job_runs[0].notification_property.notify_delay_after #=> Integer
resp.workflows[0].last_run.graph.nodes[0].job_details.job_runs[0].glue_version #=> String
resp.workflows[0].last_run.graph.nodes[0].job_details.job_runs[0].dpu_seconds #=> Float
resp.workflows[0].last_run.graph.nodes[0].job_details.job_runs[0].execution_class #=> String, one of "FLEX", "STANDARD"
resp.workflows[0].last_run.graph.nodes[0].job_details.job_runs[0].maintenance_window #=> String
resp.workflows[0].last_run.graph.nodes[0].job_details.job_runs[0].profile_name #=> String
resp.workflows[0].last_run.graph.nodes[0].crawler_details.crawls #=> Array
resp.workflows[0].last_run.graph.nodes[0].crawler_details.crawls[0].state #=> String, one of "RUNNING", "CANCELLING", "CANCELLED", "SUCCEEDED", "FAILED", "ERROR"
resp.workflows[0].last_run.graph.nodes[0].crawler_details.crawls[0].started_on #=> Time
resp.workflows[0].last_run.graph.nodes[0].crawler_details.crawls[0].completed_on #=> Time
resp.workflows[0].last_run.graph.nodes[0].crawler_details.crawls[0].error_message #=> String
resp.workflows[0].last_run.graph.nodes[0].crawler_details.crawls[0].log_group #=> String
resp.workflows[0].last_run.graph.nodes[0].crawler_details.crawls[0].log_stream #=> String
resp.workflows[0].last_run.graph.edges #=> Array
resp.workflows[0].last_run.graph.edges[0].source_id #=> String
resp.workflows[0].last_run.graph.edges[0].destination_id #=> String
resp.workflows[0].last_run.starting_event_batch_condition.batch_size #=> Integer
resp.workflows[0].last_run.starting_event_batch_condition.batch_window #=> Integer
resp.workflows[0].graph.nodes #=> Array
resp.workflows[0].graph.nodes[0].type #=> String, one of "CRAWLER", "JOB", "TRIGGER"
resp.workflows[0].graph.nodes[0].name #=> String
resp.workflows[0].graph.nodes[0].unique_id #=> String
resp.workflows[0].graph.nodes[0].trigger_details.trigger.name #=> String
resp.workflows[0].graph.nodes[0].trigger_details.trigger.workflow_name #=> String
resp.workflows[0].graph.nodes[0].trigger_details.trigger.id #=> String
resp.workflows[0].graph.nodes[0].trigger_details.trigger.type #=> String, one of "SCHEDULED", "CONDITIONAL", "ON_DEMAND", "EVENT"
resp.workflows[0].graph.nodes[0].trigger_details.trigger.state #=> String, one of "CREATING", "CREATED", "ACTIVATING", "ACTIVATED", "DEACTIVATING", "DEACTIVATED", "DELETING", "UPDATING"
resp.workflows[0].graph.nodes[0].trigger_details.trigger.description #=> String
resp.workflows[0].graph.nodes[0].trigger_details.trigger.schedule #=> String
resp.workflows[0].graph.nodes[0].trigger_details.trigger.actions #=> Array
resp.workflows[0].graph.nodes[0].trigger_details.trigger.actions[0].job_name #=> String
resp.workflows[0].graph.nodes[0].trigger_details.trigger.actions[0].arguments #=> Hash
resp.workflows[0].graph.nodes[0].trigger_details.trigger.actions[0].arguments["GenericString"] #=> String
resp.workflows[0].graph.nodes[0].trigger_details.trigger.actions[0].timeout #=> Integer
resp.workflows[0].graph.nodes[0].trigger_details.trigger.actions[0].security_configuration #=> String
resp.workflows[0].graph.nodes[0].trigger_details.trigger.actions[0].notification_property.notify_delay_after #=> Integer
resp.workflows[0].graph.nodes[0].trigger_details.trigger.actions[0].crawler_name #=> String
resp.workflows[0].graph.nodes[0].trigger_details.trigger.predicate.logical #=> String, one of "AND", "ANY"
resp.workflows[0].graph.nodes[0].trigger_details.trigger.predicate.conditions #=> Array
resp.workflows[0].graph.nodes[0].trigger_details.trigger.predicate.conditions[0].logical_operator #=> String, one of "EQUALS"
resp.workflows[0].graph.nodes[0].trigger_details.trigger.predicate.conditions[0].job_name #=> String
resp.workflows[0].graph.nodes[0].trigger_details.trigger.predicate.conditions[0].state #=> String, one of "STARTING", "RUNNING", "STOPPING", "STOPPED", "SUCCEEDED", "FAILED", "TIMEOUT", "ERROR", "WAITING", "EXPIRED"
resp.workflows[0].graph.nodes[0].trigger_details.trigger.predicate.conditions[0].crawler_name #=> String
resp.workflows[0].graph.nodes[0].trigger_details.trigger.predicate.conditions[0].crawl_state #=> String, one of "RUNNING", "CANCELLING", "CANCELLED", "SUCCEEDED", "FAILED", "ERROR"
resp.workflows[0].graph.nodes[0].trigger_details.trigger.event_batching_condition.batch_size #=> Integer
resp.workflows[0].graph.nodes[0].trigger_details.trigger.event_batching_condition.batch_window #=> Integer
resp.workflows[0].graph.nodes[0].job_details.job_runs #=> Array
resp.workflows[0].graph.nodes[0].job_details.job_runs[0].id #=> String
resp.workflows[0].graph.nodes[0].job_details.job_runs[0].attempt #=> Integer
resp.workflows[0].graph.nodes[0].job_details.job_runs[0].previous_run_id #=> String
resp.workflows[0].graph.nodes[0].job_details.job_runs[0].trigger_name #=> String
resp.workflows[0].graph.nodes[0].job_details.job_runs[0].job_name #=> String
resp.workflows[0].graph.nodes[0].job_details.job_runs[0].job_mode #=> String, one of "SCRIPT", "VISUAL", "NOTEBOOK"
resp.workflows[0].graph.nodes[0].job_details.job_runs[0].started_on #=> Time
resp.workflows[0].graph.nodes[0].job_details.job_runs[0].last_modified_on #=> Time
resp.workflows[0].graph.nodes[0].job_details.job_runs[0].completed_on #=> Time
resp.workflows[0].graph.nodes[0].job_details.job_runs[0].job_run_state #=> String, one of "STARTING", "RUNNING", "STOPPING", "STOPPED", "SUCCEEDED", "FAILED", "TIMEOUT", "ERROR", "WAITING", "EXPIRED"
resp.workflows[0].graph.nodes[0].job_details.job_runs[0].arguments #=> Hash
resp.workflows[0].graph.nodes[0].job_details.job_runs[0].arguments["GenericString"] #=> String
resp.workflows[0].graph.nodes[0].job_details.job_runs[0].error_message #=> String
resp.workflows[0].graph.nodes[0].job_details.job_runs[0].predecessor_runs #=> Array
resp.workflows[0].graph.nodes[0].job_details.job_runs[0].predecessor_runs[0].job_name #=> String
resp.workflows[0].graph.nodes[0].job_details.job_runs[0].predecessor_runs[0].run_id #=> String
resp.workflows[0].graph.nodes[0].job_details.job_runs[0].allocated_capacity #=> Integer
resp.workflows[0].graph.nodes[0].job_details.job_runs[0].execution_time #=> Integer
resp.workflows[0].graph.nodes[0].job_details.job_runs[0].timeout #=> Integer
resp.workflows[0].graph.nodes[0].job_details.job_runs[0].max_capacity #=> Float
resp.workflows[0].graph.nodes[0].job_details.job_runs[0].worker_type #=> String, one of "Standard", "G.1X", "G.2X", "G.025X", "G.4X", "G.8X", "Z.2X"
resp.workflows[0].graph.nodes[0].job_details.job_runs[0].number_of_workers #=> Integer
resp.workflows[0].graph.nodes[0].job_details.job_runs[0].security_configuration #=> String
resp.workflows[0].graph.nodes[0].job_details.job_runs[0].log_group_name #=> String
resp.workflows[0].graph.nodes[0].job_details.job_runs[0].notification_property.notify_delay_after #=> Integer
resp.workflows[0].graph.nodes[0].job_details.job_runs[0].glue_version #=> String
resp.workflows[0].graph.nodes[0].job_details.job_runs[0].dpu_seconds #=> Float
resp.workflows[0].graph.nodes[0].job_details.job_runs[0].execution_class #=> String, one of "FLEX", "STANDARD"
resp.workflows[0].graph.nodes[0].job_details.job_runs[0].maintenance_window #=> String
resp.workflows[0].graph.nodes[0].job_details.job_runs[0].profile_name #=> String
resp.workflows[0].graph.nodes[0].crawler_details.crawls #=> Array
resp.workflows[0].graph.nodes[0].crawler_details.crawls[0].state #=> String, one of "RUNNING", "CANCELLING", "CANCELLED", "SUCCEEDED", "FAILED", "ERROR"
resp.workflows[0].graph.nodes[0].crawler_details.crawls[0].started_on #=> Time
resp.workflows[0].graph.nodes[0].crawler_details.crawls[0].completed_on #=> Time
resp.workflows[0].graph.nodes[0].crawler_details.crawls[0].error_message #=> String
resp.workflows[0].graph.nodes[0].crawler_details.crawls[0].log_group #=> String
resp.workflows[0].graph.nodes[0].crawler_details.crawls[0].log_stream #=> String
resp.workflows[0].graph.edges #=> Array
resp.workflows[0].graph.edges[0].source_id #=> String
resp.workflows[0].graph.edges[0].destination_id #=> String
resp.workflows[0].max_concurrent_runs #=> Integer
resp.workflows[0].blueprint_details.blueprint_name #=> String
resp.workflows[0].blueprint_details.run_id #=> String
resp.missing_workflows #=> Array
resp.missing_workflows[0] #=> String

Parameters:

• params (Hash) (defaults to: {}) —

  ({})

Options Hash (params):

• :names (required, Array<String>) —

  A list of workflow names, which may be the names returned from the ‘ListWorkflows` operation.

• :include_graph (Boolean) —

  Specifies whether to include a graph when returning the workflow resource metadata.

Returns:

• (Types::BatchGetWorkflowsResponse) —

  Returns a response object which responds to the following methods:

  • #workflows => Array&lt;Types::Workflow&gt;

  • #missing_workflows => Array&lt;String&gt;

See Also:

• AWS API Documentation

# File 'lib/aws-sdk-glue/client.rb', line 2406

def batch_get_workflows(params = {}, options = {})
  req = build_request(:batch_get_workflows, params)
  req.send_request(options)
end

#batch_stop_job_run(params = {}) ⇒ Types::BatchStopJobRunResponse

Stops one or more job runs for a specified job definition.

Examples:

Request syntax with placeholder values

resp = client.batch_stop_job_run({
  job_name: "NameString", # required
  job_run_ids: ["IdString"], # required
})

Response structure

resp.successful_submissions #=> Array
resp.successful_submissions[0].job_name #=> String
resp.successful_submissions[0].job_run_id #=> String
resp.errors #=> Array
resp.errors[0].job_name #=> String
resp.errors[0].job_run_id #=> String
resp.errors[0].error_detail.error_code #=> String
resp.errors[0].error_detail.error_message #=> String

Parameters:

• params (Hash) (defaults to: {}) —

  ({})

Options Hash (params):

• :job_name (required, String) —

  The name of the job definition for which to stop job runs.

• :job_run_ids (required, Array<String>) —

  A list of the ‘JobRunIds` that should be stopped for that job definition.

Returns:

• (Types::BatchStopJobRunResponse) —

  Returns a response object which responds to the following methods:

  • #successful_submissions => Array&lt;Types::BatchStopJobRunSuccessfulSubmission&gt;

  • #errors => Array&lt;Types::BatchStopJobRunError&gt;

See Also:

• AWS API Documentation

# File 'lib/aws-sdk-glue/client.rb', line 2447

def batch_stop_job_run(params = {}, options = {})
  req = build_request(:batch_stop_job_run, params)
  req.send_request(options)
end

#batch_update_partition(params = {}) ⇒ Types::BatchUpdatePartitionResponse

Updates one or more partitions in a batch operation.

Examples:

Request syntax with placeholder values

resp = client.batch_update_partition({
  catalog_id: "CatalogIdString",
  database_name: "NameString", # required
  table_name: "NameString", # required
  entries: [ # required
    {
      partition_value_list: ["ValueString"], # required
      partition_input: { # required
        values: ["ValueString"],
        last_access_time: Time.now,
        storage_descriptor: {
          columns: [
            {
              name: "NameString", # required
              type: "ColumnTypeString",
              comment: "CommentString",
              parameters: {
                "KeyString" => "ParametersMapValue",
              },
            },
          ],
          location: "LocationString",
          additional_locations: ["LocationString"],
          input_format: "FormatString",
          output_format: "FormatString",
          compressed: false,
          number_of_buckets: 1,
          serde_info: {
            name: "NameString",
            serialization_library: "NameString",
            parameters: {
              "KeyString" => "ParametersMapValue",
            },
          },
          bucket_columns: ["NameString"],
          sort_columns: [
            {
              column: "NameString", # required
              sort_order: 1, # required
            },
          ],
          parameters: {
            "KeyString" => "ParametersMapValue",
          },
          skewed_info: {
            skewed_column_names: ["NameString"],
            skewed_column_values: ["ColumnValuesString"],
            skewed_column_value_location_maps: {
              "ColumnValuesString" => "ColumnValuesString",
            },
          },
          stored_as_sub_directories: false,
          schema_reference: {
            schema_id: {
              schema_arn: "GlueResourceArn",
              schema_name: "SchemaRegistryNameString",
              registry_name: "SchemaRegistryNameString",
            },
            schema_version_id: "SchemaVersionIdString",
            schema_version_number: 1,
          },
        },
        parameters: {
          "KeyString" => "ParametersMapValue",
        },
        last_analyzed_time: Time.now,
      },
    },
  ],
})

Response structure

resp.errors #=> Array
resp.errors[0].partition_value_list #=> Array
resp.errors[0].partition_value_list[0] #=> String
resp.errors[0].error_detail.error_code #=> String
resp.errors[0].error_detail.error_message #=> String

Parameters:

• params (Hash) (defaults to: {}) —

  ({})

Options Hash (params):

• :catalog_id (String) —

  The ID of the catalog in which the partition is to be updated. Currently, this should be the Amazon Web Services account ID.

• :database_name (required, String) —

  The name of the metadata database in which the partition is to be updated.

• :table_name (required, String) —

  The name of the metadata table in which the partition is to be updated.

• :entries (required, Array<Types::BatchUpdatePartitionRequestEntry>) —

  A list of up to 100 ‘BatchUpdatePartitionRequestEntry` objects to update.

Returns:

• (Types::BatchUpdatePartitionResponse) —

  Returns a response object which responds to the following methods:

  • #errors => Array&lt;Types::BatchUpdatePartitionFailureEntry&gt;

See Also:

• AWS API Documentation

# File 'lib/aws-sdk-glue/client.rb', line 2559

def batch_update_partition(params = {}, options = {})
  req = build_request(:batch_update_partition, params)
  req.send_request(options)
end

#build_request(operation_name, params = {}) ⇒ Object

This method is part of a private API. You should avoid using this method if possible, as it may be removed or be changed in the future.

Parameters:

• params ({}) (defaults to: {})

# File 'lib/aws-sdk-glue/client.rb', line 17550

def build_request(operation_name, params = {})
  handlers = @handlers.for(operation_name)
  context = Seahorse::Client::RequestContext.new(
    operation_name: operation_name,
    operation: config.api.operation(operation_name),
    client: self,
    params: params,
    config: config)
  context[:gem_name] = 'aws-sdk-glue'
  context[:gem_version] = '1.181.0'
  Seahorse::Client::Request.new(handlers, context)
end

#cancel_data_quality_rule_recommendation_run(params = {}) ⇒ Struct

Cancels the specified recommendation run that was being used to generate rules.

Examples:

Request syntax with placeholder values

resp = client.cancel_data_quality_rule_recommendation_run({
  run_id: "HashString", # required
})

Parameters:

• params (Hash) (defaults to: {}) —

  ({})

Options Hash (params):

• :run_id (required, String) —

  The unique run identifier associated with this run.

Returns:

• (Struct) —

  Returns an empty response.

See Also:

• AWS API Documentation

# File 'lib/aws-sdk-glue/client.rb', line 2582

def cancel_data_quality_rule_recommendation_run(params = {}, options = {})
  req = build_request(:cancel_data_quality_rule_recommendation_run, params)
  req.send_request(options)
end

#cancel_data_quality_ruleset_evaluation_run(params = {}) ⇒ Struct

Cancels a run where a ruleset is being evaluated against a data source.

Examples:

Request syntax with placeholder values

resp = client.cancel_data_quality_ruleset_evaluation_run({
  run_id: "HashString", # required
})

Parameters:

• params (Hash) (defaults to: {}) —

  ({})

Options Hash (params):

• :run_id (required, String) —

  The unique run identifier associated with this run.

Returns:

• (Struct) —

  Returns an empty response.

See Also:

• AWS API Documentation

# File 'lib/aws-sdk-glue/client.rb', line 2605

def cancel_data_quality_ruleset_evaluation_run(params = {}, options = {})
  req = build_request(:cancel_data_quality_ruleset_evaluation_run, params)
  req.send_request(options)
end

#cancel_ml_task_run(params = {}) ⇒ Types::CancelMLTaskRunResponse

Cancels (stops) a task run. Machine learning task runs are asynchronous tasks that Glue runs on your behalf as part of various machine learning workflows. You can cancel a machine learning task run at any time by calling ‘CancelMLTaskRun` with a task run’s parent transform’s ‘TransformID` and the task run’s ‘TaskRunId`.

Examples:

Request syntax with placeholder values

resp = client.cancel_ml_task_run({
  transform_id: "HashString", # required
  task_run_id: "HashString", # required
})

Response structure

resp.transform_id #=> String
resp.task_run_id #=> String
resp.status #=> String, one of "STARTING", "RUNNING", "STOPPING", "STOPPED", "SUCCEEDED", "FAILED", "TIMEOUT"

Parameters:

• params (Hash) (defaults to: {}) —

  ({})

Options Hash (params):

• :transform_id (required, String) —

  The unique identifier of the machine learning transform.

• :task_run_id (required, String) —

  A unique identifier for the task run.

Returns:

• (Types::CancelMLTaskRunResponse) —

  Returns a response object which responds to the following methods:

  • #transform_id => String

  • #task_run_id => String

  • #status => String

See Also:

• AWS API Documentation

# File 'lib/aws-sdk-glue/client.rb', line 2645

def cancel_ml_task_run(params = {}, options = {})
  req = build_request(:cancel_ml_task_run, params)
  req.send_request(options)
end

#cancel_statement(params = {}) ⇒ Struct

Cancels the statement.

Examples:

Request syntax with placeholder values

resp = client.cancel_statement({
  session_id: "NameString", # required
  id: 1, # required
  request_origin: "OrchestrationNameString",
})

Parameters:

• params (Hash) (defaults to: {}) —

  ({})

Options Hash (params):

• :session_id (required, String) —

  The Session ID of the statement to be cancelled.

• :id (required, Integer) —

  The ID of the statement to be cancelled.

• :request_origin (String) —

  The origin of the request to cancel the statement.

Returns:

• (Struct) —

  Returns an empty response.

See Also:

• AWS API Documentation

# File 'lib/aws-sdk-glue/client.rb', line 2675

def cancel_statement(params = {}, options = {})
  req = build_request(:cancel_statement, params)
  req.send_request(options)
end

#check_schema_version_validity(params = {}) ⇒ Types::CheckSchemaVersionValidityResponse

Validates the supplied schema. This call has no side effects, it simply validates using the supplied schema using ‘DataFormat` as the format. Since it does not take a schema set name, no compatibility checks are performed.

Examples:

Request syntax with placeholder values

resp = client.check_schema_version_validity({
  data_format: "AVRO", # required, accepts AVRO, JSON, PROTOBUF
  schema_definition: "SchemaDefinitionString", # required
})

Response structure

resp.valid #=> Boolean
resp.error #=> String

Parameters:

• params (Hash) (defaults to: {}) —

  ({})

Options Hash (params):

• :data_format (required, String) —

  The data format of the schema definition. Currently ‘AVRO`, `JSON` and `PROTOBUF` are supported.

• :schema_definition (required, String) —

  The definition of the schema that has to be validated.

Returns:

• (Types::CheckSchemaVersionValidityResponse) —

  Returns a response object which responds to the following methods:

  • #valid => Boolean

  • #error => String

See Also:

• AWS API Documentation

# File 'lib/aws-sdk-glue/client.rb', line 2713

def check_schema_version_validity(params = {}, options = {})
  req = build_request(:check_schema_version_validity, params)
  req.send_request(options)
end

#create_blueprint(params = {}) ⇒ Types::CreateBlueprintResponse

Registers a blueprint with Glue.

Examples:

Request syntax with placeholder values

resp = client.create_blueprint({
  name: "OrchestrationNameString", # required
  description: "Generic512CharString",
  blueprint_location: "OrchestrationS3Location", # required
  tags: {
    "TagKey" => "TagValue",
  },
})

Response structure

resp.name #=> String

Parameters:

• params (Hash) (defaults to: {}) —

  ({})

Options Hash (params):

• :name (required, String) —

  The name of the blueprint.

• :description (String) —

  A description of the blueprint.

• :blueprint_location (required, String) —

  Specifies a path in Amazon S3 where the blueprint is published.

• :tags (Hash<String,String>) —

  The tags to be applied to this blueprint.

Returns:

• (Types::CreateBlueprintResponse) —

  Returns a response object which responds to the following methods:

  • #name => String

See Also:

• AWS API Documentation

# File 'lib/aws-sdk-glue/client.rb', line 2755

def create_blueprint(params = {}, options = {})
  req = build_request(:create_blueprint, params)
  req.send_request(options)
end

#create_classifier(params = {}) ⇒ Struct

Creates a classifier in the user’s account. This can be a ‘GrokClassifier`, an `XMLClassifier`, a `JsonClassifier`, or a `CsvClassifier`, depending on which field of the request is present.

Examples:

Request syntax with placeholder values

resp = client.create_classifier({
  grok_classifier: {
    classification: "Classification", # required
    name: "NameString", # required
    grok_pattern: "GrokPattern", # required
    custom_patterns: "CustomPatterns",
  },
  xml_classifier: {
    classification: "Classification", # required
    name: "NameString", # required
    row_tag: "RowTag",
  },
  json_classifier: {
    name: "NameString", # required
    json_path: "JsonPath", # required
  },
  csv_classifier: {
    name: "NameString", # required
    delimiter: "CsvColumnDelimiter",
    quote_symbol: "CsvQuoteSymbol",
    contains_header: "UNKNOWN", # accepts UNKNOWN, PRESENT, ABSENT
    header: ["NameString"],
    disable_value_trimming: false,
    allow_single_column: false,
    custom_datatype_configured: false,
    custom_datatypes: ["NameString"],
    serde: "OpenCSVSerDe", # accepts OpenCSVSerDe, LazySimpleSerDe, None
  },
})

Parameters:

• params (Hash) (defaults to: {}) —

  ({})

Options Hash (params):

• :grok_classifier (Types::CreateGrokClassifierRequest) —

  A ‘GrokClassifier` object specifying the classifier to create.

• :xml_classifier (Types::CreateXMLClassifierRequest) —

  An ‘XMLClassifier` object specifying the classifier to create.

• :json_classifier (Types::CreateJsonClassifierRequest) —

  A ‘JsonClassifier` object specifying the classifier to create.

• :csv_classifier (Types::CreateCsvClassifierRequest) —

  A ‘CsvClassifier` object specifying the classifier to create.

Returns:

• (Struct) —

  Returns an empty response.

See Also:

• AWS API Documentation

# File 'lib/aws-sdk-glue/client.rb', line 2814

def create_classifier(params = {}, options = {})
  req = build_request(:create_classifier, params)
  req.send_request(options)
end

#create_connection(params = {}) ⇒ Types::CreateConnectionResponse

Creates a connection definition in the Data Catalog.

Connections used for creating federated resources require the IAM ‘glue:PassConnection` permission.

Examples:

Request syntax with placeholder values

resp = client.create_connection({
  catalog_id: "CatalogIdString",
  connection_input: { # required
    name: "NameString", # required
    description: "DescriptionString",
    connection_type: "JDBC", # required, accepts JDBC, SFTP, MONGODB, KAFKA, NETWORK, MARKETPLACE, CUSTOM, SALESFORCE
    match_criteria: ["NameString"],
    connection_properties: { # required
      "HOST" => "ValueString",
    },
    physical_connection_requirements: {
      subnet_id: "NameString",
      security_group_id_list: ["NameString"],
      availability_zone: "NameString",
    },
    authentication_configuration: {
      authentication_type: "BASIC", # accepts BASIC, OAUTH2, CUSTOM
      secret_arn: "SecretArn",
      o_auth_2_properties: {
        o_auth_2_grant_type: "AUTHORIZATION_CODE", # accepts AUTHORIZATION_CODE, CLIENT_CREDENTIALS, JWT_BEARER
        o_auth_2_client_application: {
          user_managed_client_application_client_id: "UserManagedClientApplicationClientId",
          aws_managed_client_application_reference: "AWSManagedClientApplicationReference",
        },
        token_url: "TokenUrl",
        token_url_parameters_map: {
          "TokenUrlParameterKey" => "TokenUrlParameterValue",
        },
        authorization_code_properties: {
          authorization_code: "AuthorizationCode",
          redirect_uri: "RedirectUri",
        },
      },
    },
    validate_credentials: false,
  },
  tags: {
    "TagKey" => "TagValue",
  },
})

Response structure

resp.create_connection_status #=> String, one of "READY", "IN_PROGRESS", "FAILED"

Parameters:

• params (Hash) (defaults to: {}) —

  ({})

Options Hash (params):

• :catalog_id (String) —

  The ID of the Data Catalog in which to create the connection. If none is provided, the Amazon Web Services account ID is used by default.

• :connection_input (required, Types::ConnectionInput) —

  A ‘ConnectionInput` object defining the connection to create.

• :tags (Hash<String,String>) —

  The tags you assign to the connection.

Returns:

• (Types::CreateConnectionResponse) —

  Returns a response object which responds to the following methods:

  • #create_connection_status => String

See Also:

• AWS API Documentation

# File 'lib/aws-sdk-glue/client.rb', line 2889

def create_connection(params = {}, options = {})
  req = build_request(:create_connection, params)
  req.send_request(options)
end

#create_crawler(params = {}) ⇒ Struct

Creates a new crawler with specified targets, role, configuration, and optional schedule. At least one crawl target must be specified, in the ‘s3Targets` field, the `jdbcTargets` field, or the `DynamoDBTargets` field.

Examples:

Request syntax with placeholder values

resp = client.create_crawler({
  name: "NameString", # required
  role: "Role", # required
  database_name: "DatabaseName",
  description: "DescriptionString",
  targets: { # required
    s3_targets: [
      {
        path: "Path",
        exclusions: ["Path"],
        connection_name: "ConnectionName",
        sample_size: 1,
        event_queue_arn: "EventQueueArn",
        dlq_event_queue_arn: "EventQueueArn",
      },
    ],
    jdbc_targets: [
      {
        connection_name: "ConnectionName",
        path: "Path",
        exclusions: ["Path"],
        enable_additional_metadata: ["COMMENTS"], # accepts COMMENTS, RAWTYPES
      },
    ],
    mongo_db_targets: [
      {
        connection_name: "ConnectionName",
        path: "Path",
        scan_all: false,
      },
    ],
    dynamo_db_targets: [
      {
        path: "Path",
        scan_all: false,
        scan_rate: 1.0,
      },
    ],
    catalog_targets: [
      {
        database_name: "NameString", # required
        tables: ["NameString"], # required
        connection_name: "ConnectionName",
        event_queue_arn: "EventQueueArn",
        dlq_event_queue_arn: "EventQueueArn",
      },
    ],
    delta_targets: [
      {
        delta_tables: ["Path"],
        connection_name: "ConnectionName",
        write_manifest: false,
        create_native_delta_table: false,
      },
    ],
    iceberg_targets: [
      {
        paths: ["Path"],
        connection_name: "ConnectionName",
        exclusions: ["Path"],
        maximum_traversal_depth: 1,
      },
    ],
    hudi_targets: [
      {
        paths: ["Path"],
        connection_name: "ConnectionName",
        exclusions: ["Path"],
        maximum_traversal_depth: 1,
      },
    ],
  },
  schedule: "CronExpression",
  classifiers: ["NameString"],
  table_prefix: "TablePrefix",
  schema_change_policy: {
    update_behavior: "LOG", # accepts LOG, UPDATE_IN_DATABASE
    delete_behavior: "LOG", # accepts LOG, DELETE_FROM_DATABASE, DEPRECATE_IN_DATABASE
  },
  recrawl_policy: {
    recrawl_behavior: "CRAWL_EVERYTHING", # accepts CRAWL_EVERYTHING, CRAWL_NEW_FOLDERS_ONLY, CRAWL_EVENT_MODE
  },
  lineage_configuration: {
    crawler_lineage_settings: "ENABLE", # accepts ENABLE, DISABLE
  },
  lake_formation_configuration: {
    use_lake_formation_credentials: false,
    account_id: "AccountId",
  },
  configuration: "CrawlerConfiguration",
  crawler_security_configuration: "CrawlerSecurityConfiguration",
  tags: {
    "TagKey" => "TagValue",
  },
})

Parameters:

• params (Hash) (defaults to: {}) —

  ({})

Options Hash (params):

• :name (required, String) —

  Name of the new crawler.

• :role (required, String) —

  The IAM role or Amazon Resource Name (ARN) of an IAM role used by the new crawler to access customer resources.

• :database_name (String) —

  The Glue database where results are written, such as: ‘arn:aws:daylight:us-east-1::database/sometable/*`.

• :description (String) —

  A description of the new crawler.

• :targets (required, Types::CrawlerTargets) —

  A list of collection of targets to crawl.

• :schedule (String) —

  A ‘cron` expression used to specify the schedule (see [Time-Based Schedules for Jobs and Crawlers]. For example, to run something every day at 12:15 UTC, you would specify: `cron(15 12 * * ? *)`.

  [1]: docs.aws.amazon.com/glue/latest/dg/monitor-data-warehouse-schedule.html

• :classifiers (Array<String>) —

  A list of custom classifiers that the user has registered. By default, all built-in classifiers are included in a crawl, but these custom classifiers always override the default classifiers for a given classification.

• :table_prefix (String) —

  The table prefix used for catalog tables that are created.

• :schema_change_policy (Types::SchemaChangePolicy) —

  The policy for the crawler’s update and deletion behavior.

• :recrawl_policy (Types::RecrawlPolicy) —

  A policy that specifies whether to crawl the entire dataset again, or to crawl only folders that were added since the last crawler run.

• :lineage_configuration (Types::LineageConfiguration) —

  Specifies data lineage configuration settings for the crawler.

• :lake_formation_configuration (Types::LakeFormationConfiguration) —

  Specifies Lake Formation configuration settings for the crawler.

• :configuration (String) —

  Crawler configuration information. This versioned JSON string allows users to specify aspects of a crawler’s behavior. For more information, see [Setting crawler configuration options].

  [1]: docs.aws.amazon.com/glue/latest/dg/crawler-configuration.html

• :crawler_security_configuration (String) —

  The name of the ‘SecurityConfiguration` structure to be used by this crawler.

• :tags (Hash<String,String>) —

  The tags to use with this crawler request. You may use tags to limit access to the crawler. For more information about tags in Glue, see

  Amazon Web Services Tags in Glue][1

  in the developer guide.

  [1]: docs.aws.amazon.com/glue/latest/dg/monitor-tags.html

Returns:

• (Struct) —

  Returns an empty response.

See Also:

• AWS API Documentation

# File 'lib/aws-sdk-glue/client.rb', line 3073

def create_crawler(params = {}, options = {})
  req = build_request(:create_crawler, params)
  req.send_request(options)
end

#create_custom_entity_type(params = {}) ⇒ Types::CreateCustomEntityTypeResponse

Creates a custom pattern that is used to detect sensitive data across the columns and rows of your structured data.

Each custom pattern you create specifies a regular expression and an optional list of context words. If no context words are passed only a regular expression is checked.

Examples:

Request syntax with placeholder values

resp = client.create_custom_entity_type({
  name: "NameString", # required
  regex_string: "NameString", # required
  context_words: ["NameString"],
  tags: {
    "TagKey" => "TagValue",
  },
})

Response structure

resp.name #=> String

Parameters:

• params (Hash) (defaults to: {}) —

  ({})

Options Hash (params):

• :name (required, String) —

  A name for the custom pattern that allows it to be retrieved or deleted later. This name must be unique per Amazon Web Services account.

• :regex_string (required, String) —

  A regular expression string that is used for detecting sensitive data in a custom pattern.

• :context_words (Array<String>) —

  A list of context words. If none of these context words are found within the vicinity of the regular expression the data will not be detected as sensitive data.

  If no context words are passed only a regular expression is checked.

• :tags (Hash<String,String>) —

  A list of tags applied to the custom entity type.

Returns:

• (Types::CreateCustomEntityTypeResponse) —

  Returns a response object which responds to the following methods:

  • #name => String

See Also:

• AWS API Documentation

# File 'lib/aws-sdk-glue/client.rb', line 3127

def create_custom_entity_type(params = {}, options = {})
  req = build_request(:create_custom_entity_type, params)
  req.send_request(options)
end

#create_data_quality_ruleset(params = {}) ⇒ Types::CreateDataQualityRulesetResponse

Creates a data quality ruleset with DQDL rules applied to a specified Glue table.

You create the ruleset using the Data Quality Definition Language (DQDL). For more information, see the Glue developer guide.

Examples:

Request syntax with placeholder values

resp = client.create_data_quality_ruleset({
  name: "NameString", # required
  description: "DescriptionString",
  ruleset: "DataQualityRulesetString", # required
  tags: {
    "TagKey" => "TagValue",
  },
  target_table: {
    table_name: "NameString", # required
    database_name: "NameString", # required
    catalog_id: "NameString",
  },
  client_token: "HashString",
})

Response structure

resp.name #=> String

Parameters:

• params (Hash) (defaults to: {}) —

  ({})

Options Hash (params):

• :name (required, String) —

  A unique name for the data quality ruleset.

• :description (String) —

  A description of the data quality ruleset.

• :ruleset (required, String) —

  A Data Quality Definition Language (DQDL) ruleset. For more information, see the Glue developer guide.

• :tags (Hash<String,String>) —

  A list of tags applied to the data quality ruleset.

• :target_table (Types::DataQualityTargetTable) —

  A target table associated with the data quality ruleset.

• :client_token (String) —

  Used for idempotency and is recommended to be set to a random ID (such as a UUID) to avoid creating or starting multiple instances of the same resource.

Returns:

• (Types::CreateDataQualityRulesetResponse) —

  Returns a response object which responds to the following methods:

  • #name => String

See Also:

• AWS API Documentation

# File 'lib/aws-sdk-glue/client.rb', line 3188

def create_data_quality_ruleset(params = {}, options = {})
  req = build_request(:create_data_quality_ruleset, params)
  req.send_request(options)
end

#create_database(params = {}) ⇒ Struct

Creates a new database in a Data Catalog.

Examples:

Request syntax with placeholder values

resp = client.create_database({
  catalog_id: "CatalogIdString",
  database_input: { # required
    name: "NameString", # required
    description: "DescriptionString",
    location_uri: "URI",
    parameters: {
      "KeyString" => "ParametersMapValue",
    },
    create_table_default_permissions: [
      {
        principal: {
          data_lake_principal_identifier: "DataLakePrincipalString",
        },
        permissions: ["ALL"], # accepts ALL, SELECT, ALTER, DROP, DELETE, INSERT, CREATE_DATABASE, CREATE_TABLE, DATA_LOCATION_ACCESS
      },
    ],
    target_database: {
      catalog_id: "CatalogIdString",
      database_name: "NameString",
      region: "NameString",
    },
    federated_database: {
      identifier: "FederationIdentifier",
      connection_name: "NameString",
    },
  },
  tags: {
    "TagKey" => "TagValue",
  },
})

Parameters:

• params (Hash) (defaults to: {}) —

  ({})

Options Hash (params):

• :catalog_id (String) —

  The ID of the Data Catalog in which to create the database. If none is provided, the Amazon Web Services account ID is used by default.

• :database_input (required, Types::DatabaseInput) —

  The metadata for the database.

• :tags (Hash<String,String>) —

  The tags you assign to the database.

Returns:

• (Struct) —

  Returns an empty response.

See Also:

• AWS API Documentation

# File 'lib/aws-sdk-glue/client.rb', line 3245

def create_database(params = {}, options = {})
  req = build_request(:create_database, params)
  req.send_request(options)
end

#create_dev_endpoint(params = {}) ⇒ Types::CreateDevEndpointResponse

Creates a new development endpoint.

Examples:

Request syntax with placeholder values

resp = client.create_dev_endpoint({
  endpoint_name: "GenericString", # required
  role_arn: "RoleArn", # required
  security_group_ids: ["GenericString"],
  subnet_id: "GenericString",
  public_key: "GenericString",
  public_keys: ["GenericString"],
  number_of_nodes: 1,
  worker_type: "Standard", # accepts Standard, G.1X, G.2X, G.025X, G.4X, G.8X, Z.2X
  glue_version: "GlueVersionString",
  number_of_workers: 1,
  extra_python_libs_s3_path: "GenericString",
  extra_jars_s3_path: "GenericString",
  security_configuration: "NameString",
  tags: {
    "TagKey" => "TagValue",
  },
  arguments: {
    "GenericString" => "GenericString",
  },
})

Response structure

resp.endpoint_name #=> String
resp.status #=> String
resp.security_group_ids #=> Array
resp.security_group_ids[0] #=> String
resp.subnet_id #=> String
resp.role_arn #=> String
resp.yarn_endpoint_address #=> String
resp.zeppelin_remote_spark_interpreter_port #=> Integer
resp.number_of_nodes #=> Integer
resp.worker_type #=> String, one of "Standard", "G.1X", "G.2X", "G.025X", "G.4X", "G.8X", "Z.2X"
resp.glue_version #=> String
resp.number_of_workers #=> Integer
resp.availability_zone #=> String
resp.vpc_id #=> String
resp.extra_python_libs_s3_path #=> String
resp.extra_jars_s3_path #=> String
resp.failure_reason #=> String
resp.security_configuration #=> String
resp.created_timestamp #=> Time
resp.arguments #=> Hash
resp.arguments["GenericString"] #=> String

Parameters:

• params (Hash) (defaults to: {}) —

  ({})

Options Hash (params):

• :endpoint_name (required, String) —

  The name to be assigned to the new ‘DevEndpoint`.

• :role_arn (required, String) —

  The IAM role for the ‘DevEndpoint`.

• :security_group_ids (Array<String>) —

  Security group IDs for the security groups to be used by the new ‘DevEndpoint`.

• :subnet_id (String) —

  The subnet ID for the new ‘DevEndpoint` to use.

• :public_key (String) —

  The public key to be used by this ‘DevEndpoint` for authentication. This attribute is provided for backward compatibility because the recommended attribute to use is public keys.

• :public_keys (Array<String>) —

  A list of public keys to be used by the development endpoints for authentication. The use of this attribute is preferred over a single public key because the public keys allow you to have a different private key per client.

  <note markdown=“1”> If you previously created an endpoint with a public key, you must remove that key to be able to set a list of public keys. Call the ‘UpdateDevEndpoint` API with the public key content in the `deletePublicKeys` attribute, and the list of new keys in the `addPublicKeys` attribute.

  </note>
  

• :number_of_nodes (Integer) —

  The number of Glue Data Processing Units (DPUs) to allocate to this ‘DevEndpoint`.

• :worker_type (String) —

  The type of predefined worker that is allocated to the development endpoint. Accepts a value of Standard, G.1X, or G.2X.

  • For the ‘Standard` worker type, each worker provides 4 vCPU, 16 GB of memory and a 50GB disk, and 2 executors per worker.

  • For the ‘G.1X` worker type, each worker maps to 1 DPU (4 vCPU, 16 GB of memory, 64 GB disk), and provides 1 executor per worker. We recommend this worker type for memory-intensive jobs.

  • For the ‘G.2X` worker type, each worker maps to 2 DPU (8 vCPU, 32 GB of memory, 128 GB disk), and provides 1 executor per worker. We recommend this worker type for memory-intensive jobs.

  Known issue: when a development endpoint is created with the ‘G.2X` `WorkerType` configuration, the Spark drivers for the development endpoint will run on 4 vCPU, 16 GB of memory, and a 64 GB disk.

• :glue_version (String) —

  Glue version determines the versions of Apache Spark and Python that Glue supports. The Python version indicates the version supported for running your ETL scripts on development endpoints.

  For more information about the available Glue versions and corresponding Spark and Python versions, see [Glue version] in the developer guide.

  Development endpoints that are created without specifying a Glue version default to Glue 0.9.

  You can specify a version of Python support for development endpoints by using the ‘Arguments` parameter in the `CreateDevEndpoint` or `UpdateDevEndpoint` APIs. If no arguments are provided, the version defaults to Python 2.

  [1]: docs.aws.amazon.com/glue/latest/dg/add-job.html

• :number_of_workers (Integer) —

  The number of workers of a defined ‘workerType` that are allocated to the development endpoint.

  The maximum number of workers you can define are 299 for ‘G.1X`, and 149 for `G.2X`.

• :extra_python_libs_s3_path (String) —

  The paths to one or more Python libraries in an Amazon S3 bucket that should be loaded in your ‘DevEndpoint`. Multiple values must be complete paths separated by a comma.

  <note markdown=“1”> You can only use pure Python libraries with a ‘DevEndpoint`. Libraries that rely on C extensions, such as the [pandas] Python data analysis library, are not yet supported.

  </note>
  

  [1]: pandas.pydata.org/

• :extra_jars_s3_path (String) —

  The path to one or more Java ‘.jar` files in an S3 bucket that should be loaded in your `DevEndpoint`.

• :security_configuration (String) —

  The name of the ‘SecurityConfiguration` structure to be used with this `DevEndpoint`.

• :tags (Hash<String,String>) —

  The tags to use with this DevEndpoint. You may use tags to limit access to the DevEndpoint. For more information about tags in Glue, see [Amazon Web Services Tags in Glue] in the developer guide.

  [1]: docs.aws.amazon.com/glue/latest/dg/monitor-tags.html

• :arguments (Hash<String,String>) —

  A map of arguments used to configure the ‘DevEndpoint`.

Returns:

• (Types::CreateDevEndpointResponse) —

  Returns a response object which responds to the following methods:

  • #endpoint_name => String

  • #status => String

  • #security_group_ids => Array&lt;String&gt;

  • #subnet_id => String

  • #role_arn => String

  • #yarn_endpoint_address => String

  • #zeppelin_remote_spark_interpreter_port => Integer

  • #number_of_nodes => Integer

  • #worker_type => String

  • #glue_version => String

  • #number_of_workers => Integer

  • #availability_zone => String

  • #vpc_id => String

  • #extra_python_libs_s3_path => String

  • #extra_jars_s3_path => String

  • #failure_reason => String

  • #security_configuration => String

  • #created_timestamp => Time

  • #arguments => Hash&lt;String,String&gt;

See Also:

• AWS API Documentation

# File 'lib/aws-sdk-glue/client.rb', line 3444

def create_dev_endpoint(params = {}, options = {})
  req = build_request(:create_dev_endpoint, params)
  req.send_request(options)
end

#create_job(params = {}) ⇒ Types::CreateJobResponse

Creates a new job definition.

Examples:

Response structure

resp.name #=> String

Parameters:

• params (Hash) (defaults to: {}) —

  ({})

Options Hash (params):

• :name (required, String) —

  The name you assign to this job definition. It must be unique in your account.

• :job_mode (String) —

  A mode that describes how a job was created. Valid values are:

  • ‘SCRIPT` - The job was created using the Glue Studio script editor.

  • ‘VISUAL` - The job was created using the Glue Studio visual editor.

  • ‘NOTEBOOK` - The job was created using an interactive sessions notebook.

  When the ‘JobMode` field is missing or null, `SCRIPT` is assigned as the default value.

• :description (String) —

  Description of the job being defined.

• :log_uri (String) —

  This field is reserved for future use.

• :role (required, String) —

  The name or Amazon Resource Name (ARN) of the IAM role associated with this job.

• :execution_property (Types::ExecutionProperty) —

  An ‘ExecutionProperty` specifying the maximum number of concurrent runs allowed for this job.

• :command (required, Types::JobCommand) —

  The ‘JobCommand` that runs this job.

• :default_arguments (Hash<String,String>) —

  The default arguments for every run of this job, specified as name-value pairs.

  You can specify arguments here that your own job-execution script consumes, as well as arguments that Glue itself consumes.

  Job arguments may be logged. Do not pass plaintext secrets as arguments. Retrieve secrets from a Glue Connection, Secrets Manager or other secret management mechanism if you intend to keep them within the Job.

  For information about how to specify and consume your own Job arguments, see the [Calling Glue APIs in Python] topic in the developer guide.

  For information about the arguments you can provide to this field when configuring Spark jobs, see the [Special Parameters Used by Glue] topic in the developer guide.

  For information about the arguments you can provide to this field when configuring Ray jobs, see [Using job parameters in Ray jobs] in the developer guide.

  [1]: docs.aws.amazon.com/glue/latest/dg/aws-glue-programming-python-calling.html [2]: docs.aws.amazon.com/glue/latest/dg/aws-glue-programming-etl-glue-arguments.html [3]: docs.aws.amazon.com/glue/latest/dg/author-job-ray-job-parameters.html

• :non_overridable_arguments (Hash<String,String>) —

  Arguments for this job that are not overridden when providing job arguments in a job run, specified as name-value pairs.

• :connections (Types::ConnectionsList) —

  The connections used for this job.

• :max_retries (Integer) —

  The maximum number of times to retry this job if it fails.

• :allocated_capacity (Integer) —

  This parameter is deprecated. Use ‘MaxCapacity` instead.

  The number of Glue data processing units (DPUs) to allocate to this Job. You can allocate a minimum of 2 DPUs; the default is 10. A DPU is a relative measure of processing power that consists of 4 vCPUs of compute capacity and 16 GB of memory. For more information, see the [Glue pricing page].

  [1]: aws.amazon.com/glue/pricing/

• :timeout (Integer) —

  The job timeout in minutes. This is the maximum time that a job run can consume resources before it is terminated and enters ‘TIMEOUT` status. The default is 2,880 minutes (48 hours) for batch jobs.

  Streaming jobs must have timeout values less than 7 days or 10080 minutes. When the value is left blank, the job will be restarted after 7 days based if you have not setup a maintenance window. If you have setup maintenance window, it will be restarted during the maintenance window after 7 days.

• :max_capacity (Float) —

  For Glue version 1.0 or earlier jobs, using the standard worker type, the number of Glue data processing units (DPUs) that can be allocated when this job runs. A DPU is a relative measure of processing power that consists of 4 vCPUs of compute capacity and 16 GB of memory. For more information, see the [ Glue pricing page].

  For Glue version 2.0+ jobs, you cannot specify a ‘Maximum capacity`. Instead, you should specify a `Worker type` and the `Number of workers`.

  Do not set ‘MaxCapacity` if using `WorkerType` and `NumberOfWorkers`.

  The value that can be allocated for ‘MaxCapacity` depends on whether you are running a Python shell job, an Apache Spark ETL job, or an Apache Spark streaming ETL job:

  • When you specify a Python shell job (‘JobCommand.Name`=“pythonshell”), you can allocate either 0.0625 or 1 DPU. The default is 0.0625 DPU.

  • When you specify an Apache Spark ETL job (‘JobCommand.Name`=“glueetl”) or Apache Spark streaming ETL job (`JobCommand.Name`=“gluestreaming”), you can allocate from 2 to 100 DPUs. The default is 10 DPUs. This job type cannot have a fractional DPU allocation.

  [1]: aws.amazon.com/glue/pricing/

• :security_configuration (String) —

  The name of the ‘SecurityConfiguration` structure to be used with this job.

• :tags (Hash<String,String>) —

  The tags to use with this job. You may use tags to limit access to the job. For more information about tags in Glue, see [Amazon Web Services Tags in Glue] in the developer guide.

  [1]: docs.aws.amazon.com/glue/latest/dg/monitor-tags.html

• :notification_property (Types::NotificationProperty) —

  Specifies configuration properties of a job notification.

• :glue_version (String) —

  In Spark jobs, ‘GlueVersion` determines the versions of Apache Spark and Python that Glue available in a job. The Python version indicates the version supported for jobs of type Spark.

  Ray jobs should set ‘GlueVersion` to `4.0` or greater. However, the versions of Ray, Python and additional libraries available in your Ray job are determined by the `Runtime` parameter of the Job command.

  For more information about the available Glue versions and corresponding Spark and Python versions, see [Glue version] in the developer guide.

  Jobs that are created without specifying a Glue version default to Glue 0.9.

  [1]: docs.aws.amazon.com/glue/latest/dg/add-job.html

• :number_of_workers (Integer) —

  The number of workers of a defined ‘workerType` that are allocated when a job runs.

• :worker_type (String) —

  The type of predefined worker that is allocated when a job runs. Accepts a value of G.1X, G.2X, G.4X, G.8X or G.025X for Spark jobs. Accepts the value Z.2X for Ray jobs.

  • For the ‘G.1X` worker type, each worker maps to 1 DPU (4 vCPUs, 16 GB of memory) with 84GB disk (approximately 34GB free), and provides 1 executor per worker. We recommend this worker type for workloads such as data transforms, joins, and queries, to offers a scalable and cost effective way to run most jobs.

  • For the ‘G.2X` worker type, each worker maps to 2 DPU (8 vCPUs, 32 GB of memory) with 128GB disk (approximately 77GB free), and provides 1 executor per worker. We recommend this worker type for workloads such as data transforms, joins, and queries, to offers a scalable and cost effective way to run most jobs.

  • For the ‘G.4X` worker type, each worker maps to 4 DPU (16 vCPUs, 64 GB of memory) with 256GB disk (approximately 235GB free), and provides 1 executor per worker. We recommend this worker type for jobs whose workloads contain your most demanding transforms, aggregations, joins, and queries. This worker type is available only for Glue version 3.0 or later Spark ETL jobs in the following Amazon Web Services Regions: US East (Ohio), US East (N. Virginia), US West (Oregon), Asia Pacific (Singapore), Asia Pacific (Sydney), Asia Pacific (Tokyo), Canada (Central), Europe (Frankfurt), Europe (Ireland), and Europe (Stockholm).

  • For the ‘G.8X` worker type, each worker maps to 8 DPU (32 vCPUs, 128 GB of memory) with 512GB disk (approximately 487GB free), and provides 1 executor per worker. We recommend this worker type for jobs whose workloads contain your most demanding transforms, aggregations, joins, and queries. This worker type is available only for Glue version 3.0 or later Spark ETL jobs, in the same Amazon Web Services Regions as supported for the `G.4X` worker type.

  • For the ‘G.025X` worker type, each worker maps to 0.25 DPU (2 vCPUs, 4 GB of memory) with 84GB disk (approximately 34GB free), and provides 1 executor per worker. We recommend this worker type for low volume streaming jobs. This worker type is only available for Glue version 3.0 streaming jobs.

  • For the ‘Z.2X` worker type, each worker maps to 2 M-DPU (8vCPUs, 64 GB of memory) with 128 GB disk (approximately 120GB free), and provides up to 8 Ray workers based on the autoscaler.

• :code_gen_configuration_nodes (Hash<String,Types::CodeGenConfigurationNode>) —

  The representation of a directed acyclic graph on which both the Glue Studio visual component and Glue Studio code generation is based.

• :execution_class (String) —

  Indicates whether the job is run with a standard or flexible execution class. The standard execution-class is ideal for time-sensitive workloads that require fast job startup and dedicated resources.

  The flexible execution class is appropriate for time-insensitive jobs whose start and completion times may vary.

  Only jobs with Glue version 3.0 and above and command type ‘glueetl` will be allowed to set `ExecutionClass` to `FLEX`. The flexible execution class is available for Spark jobs.

• :source_control_details (Types::SourceControlDetails) —

  The details for a source control configuration for a job, allowing synchronization of job artifacts to or from a remote repository.

• :maintenance_window (String) —

  This field specifies a day of the week and hour for a maintenance window for streaming jobs. Glue periodically performs maintenance activities. During these maintenance windows, Glue will need to restart your streaming jobs.

  Glue will restart the job within 3 hours of the specified maintenance window. For instance, if you set up the maintenance window for Monday at 10:00AM GMT, your jobs will be restarted between 10:00AM GMT to 1:00PM GMT.

Returns:

• (Types::CreateJobResponse) —

  Returns a response object which responds to the following methods:

  • #name => String

See Also:

• AWS API Documentation

# File 'lib/aws-sdk-glue/client.rb', line 3709

def create_job(params = {}, options = {})
  req = build_request(:create_job, params)
  req.send_request(options)
end

#create_ml_transform(params = {}) ⇒ Types::CreateMLTransformResponse

Creates an Glue machine learning transform. This operation creates the transform and all the necessary parameters to train it.

Call this operation as the first step in the process of using a machine learning transform (such as the ‘FindMatches` transform) for deduplicating data. You can provide an optional `Description`, in addition to the parameters that you want to use for your algorithm.

You must also specify certain parameters for the tasks that Glue runs on your behalf as part of learning from your data and creating a high-quality machine learning transform. These parameters include ‘Role`, and optionally, `AllocatedCapacity`, `Timeout`, and `MaxRetries`. For more information, see [Jobs].

[1]: docs.aws.amazon.com/glue/latest/dg/aws-glue-api-jobs-job.html

Examples:

Request syntax with placeholder values

resp = client.create_ml_transform({
  name: "NameString", # required
  description: "DescriptionString",
  input_record_tables: [ # required
    {
      database_name: "NameString", # required
      table_name: "NameString", # required
      catalog_id: "NameString",
      connection_name: "NameString",
      additional_options: {
        "NameString" => "DescriptionString",
      },
    },
  ],
  parameters: { # required
    transform_type: "FIND_MATCHES", # required, accepts FIND_MATCHES
    find_matches_parameters: {
      primary_key_column_name: "ColumnNameString",
      precision_recall_tradeoff: 1.0,
      accuracy_cost_tradeoff: 1.0,
      enforce_provided_labels: false,
    },
  },
  role: "RoleString", # required
  glue_version: "GlueVersionString",
  max_capacity: 1.0,
  worker_type: "Standard", # accepts Standard, G.1X, G.2X, G.025X, G.4X, G.8X, Z.2X
  number_of_workers: 1,
  timeout: 1,
  max_retries: 1,
  tags: {
    "TagKey" => "TagValue",
  },
  transform_encryption: {
    ml_user_data_encryption: {
      ml_user_data_encryption_mode: "DISABLED", # required, accepts DISABLED, SSE-KMS
      kms_key_id: "NameString",
    },
    task_run_security_configuration_name: "NameString",
  },
})

Response structure

resp.transform_id #=> String

Parameters:

• params (Hash) (defaults to: {}) —

  ({})

Options Hash (params):

• :name (required, String) —

  The unique name that you give the transform when you create it.

• :description (String) —

  A description of the machine learning transform that is being defined. The default is an empty string.

• :input_record_tables (required, Array<Types::GlueTable>) —

  A list of Glue table definitions used by the transform.

• :parameters (required, Types::TransformParameters) —

  The algorithmic parameters that are specific to the transform type used. Conditionally dependent on the transform type.

• :role (required, String) —

  The name or Amazon Resource Name (ARN) of the IAM role with the required permissions. The required permissions include both Glue service role permissions to Glue resources, and Amazon S3 permissions required by the transform.

  • This role needs Glue service role permissions to allow access to resources in Glue. See [Attach a Policy to IAM Users That Access Glue].

  • This role needs permission to your Amazon Simple Storage Service (Amazon S3) sources, targets, temporary directory, scripts, and any libraries used by the task run for this transform.

  [1]: docs.aws.amazon.com/glue/latest/dg/attach-policy-iam-user.html

• :glue_version (String) —

  This value determines which version of Glue this machine learning transform is compatible with. Glue 1.0 is recommended for most customers. If the value is not set, the Glue compatibility defaults to Glue 0.9. For more information, see [Glue Versions] in the developer guide.

  [1]: docs.aws.amazon.com/glue/latest/dg/release-notes.html#release-notes-versions

• :max_capacity (Float) —

  The number of Glue data processing units (DPUs) that are allocated to task runs for this transform. You can allocate from 2 to 100 DPUs; the default is 10. A DPU is a relative measure of processing power that consists of 4 vCPUs of compute capacity and 16 GB of memory. For more information, see the [Glue pricing page].

  ‘MaxCapacity` is a mutually exclusive option with `NumberOfWorkers` and `WorkerType`.

  • If either ‘NumberOfWorkers` or `WorkerType` is set, then `MaxCapacity` cannot be set.

  • If ‘MaxCapacity` is set then neither `NumberOfWorkers` or `WorkerType` can be set.

  • If ‘WorkerType` is set, then `NumberOfWorkers` is required (and vice versa).

  • ‘MaxCapacity` and `NumberOfWorkers` must both be at least 1.

  When the ‘WorkerType` field is set to a value other than `Standard`, the `MaxCapacity` field is set automatically and becomes read-only.

  When the ‘WorkerType` field is set to a value other than `Standard`, the `MaxCapacity` field is set automatically and becomes read-only.

  [1]: aws.amazon.com/glue/pricing/

• :worker_type (String) —

  The type of predefined worker that is allocated when this task runs. Accepts a value of Standard, G.1X, or G.2X.

  • For the ‘Standard` worker type, each worker provides 4 vCPU, 16 GB of memory and a 50GB disk, and 2 executors per worker.

  • For the ‘G.1X` worker type, each worker provides 4 vCPU, 16 GB of memory and a 64GB disk, and 1 executor per worker.

  • For the ‘G.2X` worker type, each worker provides 8 vCPU, 32 GB of memory and a 128GB disk, and 1 executor per worker.

  ‘MaxCapacity` is a mutually exclusive option with `NumberOfWorkers` and `WorkerType`.

  • If either ‘NumberOfWorkers` or `WorkerType` is set, then `MaxCapacity` cannot be set.

  • If ‘MaxCapacity` is set then neither `NumberOfWorkers` or `WorkerType` can be set.

  • If ‘WorkerType` is set, then `NumberOfWorkers` is required (and vice versa).

  • ‘MaxCapacity` and `NumberOfWorkers` must both be at least 1.

• :number_of_workers (Integer) —

  The number of workers of a defined ‘workerType` that are allocated when this task runs.

  If ‘WorkerType` is set, then `NumberOfWorkers` is required (and vice versa).

• :timeout (Integer) —

  The timeout of the task run for this transform in minutes. This is the maximum time that a task run for this transform can consume resources before it is terminated and enters ‘TIMEOUT` status. The default is 2,880 minutes (48 hours).

• :max_retries (Integer) —

  The maximum number of times to retry a task for this transform after a task run fails.

• :tags (Hash<String,String>) —

  The tags to use with this machine learning transform. You may use tags to limit access to the machine learning transform. For more information about tags in Glue, see [Amazon Web Services Tags in Glue] in the developer guide.

  [1]: docs.aws.amazon.com/glue/latest/dg/monitor-tags.html

• :transform_encryption (Types::TransformEncryption) —

  The encryption-at-rest settings of the transform that apply to accessing user data. Machine learning transforms can access user data encrypted in Amazon S3 using KMS.

Returns:

• (Types::CreateMLTransformResponse) —

  Returns a response object which responds to the following methods:

  • #transform_id => String

See Also:

• AWS API Documentation

# File 'lib/aws-sdk-glue/client.rb', line 3921

def create_ml_transform(params = {}, options = {})
  req = build_request(:create_ml_transform, params)
  req.send_request(options)
end

#create_partition(params = {}) ⇒ Struct

Creates a new partition.

Examples:

Request syntax with placeholder values

resp = client.create_partition({
  catalog_id: "CatalogIdString",
  database_name: "NameString", # required
  table_name: "NameString", # required
  partition_input: { # required
    values: ["ValueString"],
    last_access_time: Time.now,
    storage_descriptor: {
      columns: [
        {
          name: "NameString", # required
          type: "ColumnTypeString",
          comment: "CommentString",
          parameters: {
            "KeyString" => "ParametersMapValue",
          },
        },
      ],
      location: "LocationString",
      additional_locations: ["LocationString"],
      input_format: "FormatString",
      output_format: "FormatString",
      compressed: false,
      number_of_buckets: 1,
      serde_info: {
        name: "NameString",
        serialization_library: "NameString",
        parameters: {
          "KeyString" => "ParametersMapValue",
        },
      },
      bucket_columns: ["NameString"],
      sort_columns: [
        {
          column: "NameString", # required
          sort_order: 1, # required
        },
      ],
      parameters: {
        "KeyString" => "ParametersMapValue",
      },
      skewed_info: {
        skewed_column_names: ["NameString"],
        skewed_column_values: ["ColumnValuesString"],
        skewed_column_value_location_maps: {
          "ColumnValuesString" => "ColumnValuesString",
        },
      },
      stored_as_sub_directories: false,
      schema_reference: {
        schema_id: {
          schema_arn: "GlueResourceArn",
          schema_name: "SchemaRegistryNameString",
          registry_name: "SchemaRegistryNameString",
        },
        schema_version_id: "SchemaVersionIdString",
        schema_version_number: 1,
      },
    },
    parameters: {
      "KeyString" => "ParametersMapValue",
    },
    last_analyzed_time: Time.now,
  },
})

Parameters:

• params (Hash) (defaults to: {}) —

  ({})

Options Hash (params):

• :catalog_id (String) —

  The Amazon Web Services account ID of the catalog in which the partition is to be created.

• :database_name (required, String) —

  The name of the metadata database in which the partition is to be created.

• :table_name (required, String) —

  The name of the metadata table in which the partition is to be created.

• :partition_input (required, Types::PartitionInput) —

  A ‘PartitionInput` structure defining the partition to be created.

Returns:

• (Struct) —

  Returns an empty response.

See Also:

• AWS API Documentation

# File 'lib/aws-sdk-glue/client.rb', line 4017

def create_partition(params = {}, options = {})
  req = build_request(:create_partition, params)
  req.send_request(options)
end

#create_partition_index(params = {}) ⇒ Struct

Creates a specified partition index in an existing table.

Examples:

Request syntax with placeholder values

resp = client.create_partition_index({
  catalog_id: "CatalogIdString",
  database_name: "NameString", # required
  table_name: "NameString", # required
  partition_index: { # required
    keys: ["NameString"], # required
    index_name: "NameString", # required
  },
})

Parameters:

• params (Hash) (defaults to: {}) —

  ({})

Options Hash (params):

• :catalog_id (String) —

  The catalog ID where the table resides.

• :database_name (required, String) —

  Specifies the name of a database in which you want to create a partition index.

• :table_name (required, String) —

  Specifies the name of a table in which you want to create a partition index.

• :partition_index (required, Types::PartitionIndex) —

  Specifies a ‘PartitionIndex` structure to create a partition index in an existing table.

Returns:

• (Struct) —

  Returns an empty response.

See Also:

• AWS API Documentation

# File 'lib/aws-sdk-glue/client.rb', line 4057

def create_partition_index(params = {}, options = {})
  req = build_request(:create_partition_index, params)
  req.send_request(options)
end

#create_registry(params = {}) ⇒ Types::CreateRegistryResponse

Creates a new registry which may be used to hold a collection of schemas.

Examples:

Request syntax with placeholder values

resp = client.create_registry({
  registry_name: "SchemaRegistryNameString", # required
  description: "DescriptionString",
  tags: {
    "TagKey" => "TagValue",
  },
})

Response structure

resp.registry_arn #=> String
resp.registry_name #=> String
resp.description #=> String
resp.tags #=> Hash
resp.tags["TagKey"] #=> String

Parameters:

• params (Hash) (defaults to: {}) —

  ({})

Options Hash (params):

• :registry_name (required, String) —

  Name of the registry to be created of max length of 255, and may only contain letters, numbers, hyphen, underscore, dollar sign, or hash mark. No whitespace.

• :description (String) —

  A description of the registry. If description is not provided, there will not be any default value for this.

• :tags (Hash<String,String>) —

  Amazon Web Services tags that contain a key value pair and may be searched by console, command line, or API.

Returns:

• (Types::CreateRegistryResponse) —

  Returns a response object which responds to the following methods:

  • #registry_arn => String

  • #registry_name => String

  • #description => String

  • #tags => Hash&lt;String,String&gt;

See Also:

• AWS API Documentation

# File 'lib/aws-sdk-glue/client.rb', line 4107

def create_registry(params = {}, options = {})
  req = build_request(:create_registry, params)
  req.send_request(options)
end

#create_schema(params = {}) ⇒ Types::CreateSchemaResponse

Creates a new schema set and registers the schema definition. Returns an error if the schema set already exists without actually registering the version.

When the schema set is created, a version checkpoint will be set to the first version. Compatibility mode “DISABLED” restricts any additional schema versions from being added after the first schema version. For all other compatibility modes, validation of compatibility settings will be applied only from the second version onwards when the ‘RegisterSchemaVersion` API is used.

When this API is called without a ‘RegistryId`, this will create an entry for a “default-registry” in the registry database tables, if it is not already present.

Examples:

Request syntax with placeholder values

resp = client.create_schema({
  registry_id: {
    registry_name: "SchemaRegistryNameString",
    registry_arn: "GlueResourceArn",
  },
  schema_name: "SchemaRegistryNameString", # required
  data_format: "AVRO", # required, accepts AVRO, JSON, PROTOBUF
  compatibility: "NONE", # accepts NONE, DISABLED, BACKWARD, BACKWARD_ALL, FORWARD, FORWARD_ALL, FULL, FULL_ALL
  description: "DescriptionString",
  tags: {
    "TagKey" => "TagValue",
  },
  schema_definition: "SchemaDefinitionString",
})

Response structure

resp.registry_name #=> String
resp.registry_arn #=> String
resp.schema_name #=> String
resp.schema_arn #=> String
resp.description #=> String
resp.data_format #=> String, one of "AVRO", "JSON", "PROTOBUF"
resp.compatibility #=> String, one of "NONE", "DISABLED", "BACKWARD", "BACKWARD_ALL", "FORWARD", "FORWARD_ALL", "FULL", "FULL_ALL"
resp.schema_checkpoint #=> Integer
resp.latest_schema_version #=> Integer
resp.next_schema_version #=> Integer
resp.schema_status #=> String, one of "AVAILABLE", "PENDING", "DELETING"
resp.tags #=> Hash
resp.tags["TagKey"] #=> String
resp.schema_version_id #=> String
resp.schema_version_status #=> String, one of "AVAILABLE", "PENDING", "FAILURE", "DELETING"

Parameters:

• params (Hash) (defaults to: {}) —

  ({})

Options Hash (params):

• :registry_id (Types::RegistryId) —

  This is a wrapper shape to contain the registry identity fields. If this is not provided, the default registry will be used. The ARN format for the same will be: ‘arn:aws:glue:us-east-2:<customer id>:registry/default-registry:random-5-letter-id`.

• :schema_name (required, String) —

  Name of the schema to be created of max length of 255, and may only contain letters, numbers, hyphen, underscore, dollar sign, or hash mark. No whitespace.

• :data_format (required, String) —

  The data format of the schema definition. Currently ‘AVRO`, `JSON` and `PROTOBUF` are supported.

• :compatibility (String) —

  The compatibility mode of the schema. The possible values are:

  • NONE: No compatibility mode applies. You can use this choice in development scenarios or if you do not know the compatibility mode that you want to apply to schemas. Any new version added will be accepted without undergoing a compatibility check.

  • DISABLED: This compatibility choice prevents versioning for a particular schema. You can use this choice to prevent future versioning of a schema.

  • BACKWARD: This compatibility choice is recommended as it allows data receivers to read both the current and one previous schema version. This means that for instance, a new schema version cannot drop data fields or change the type of these fields, so they can’t be read by readers using the previous version.

  • BACKWARD_ALL: This compatibility choice allows data receivers to read both the current and all previous schema versions. You can use this choice when you need to delete fields or add optional fields, and check compatibility against all previous schema versions.

  • FORWARD: This compatibility choice allows data receivers to read both the current and one next schema version, but not necessarily later versions. You can use this choice when you need to add fields or delete optional fields, but only check compatibility against the last schema version.

  • FORWARD_ALL: This compatibility choice allows data receivers to read written by producers of any new registered schema. You can use this choice when you need to add fields or delete optional fields, and check compatibility against all previous schema versions.

  • FULL: This compatibility choice allows data receivers to read data written by producers using the previous or next version of the schema, but not necessarily earlier or later versions. You can use this choice when you need to add or remove optional fields, but only check compatibility against the last schema version.

  • FULL_ALL: This compatibility choice allows data receivers to read data written by producers using all previous schema versions. You can use this choice when you need to add or remove optional fields, and check compatibility against all previous schema versions.

• :description (String) —

  An optional description of the schema. If description is not provided, there will not be any automatic default value for this.

• :tags (Hash<String,String>) —

  Amazon Web Services tags that contain a key value pair and may be searched by console, command line, or API. If specified, follows the Amazon Web Services tags-on-create pattern.

• :schema_definition (String) —

  The schema definition using the ‘DataFormat` setting for `SchemaName`.

Returns:

• (Types::CreateSchemaResponse) —

  Returns a response object which responds to the following methods:

  • #registry_name => String

  • #registry_arn => String

  • #schema_name => String

  • #schema_arn => String

  • #description => String

  • #data_format => String

  • #compatibility => String

  • #schema_checkpoint => Integer

  • #latest_schema_version => Integer

  • #next_schema_version => Integer

  • #schema_status => String

  • #tags => Hash&lt;String,String&gt;

  • #schema_version_id => String

  • #schema_version_status => String

See Also:

• AWS API Documentation

# File 'lib/aws-sdk-glue/client.rb', line 4255

def create_schema(params = {}, options = {})
  req = build_request(:create_schema, params)
  req.send_request(options)
end

#create_script(params = {}) ⇒ Types::CreateScriptResponse

Transforms a directed acyclic graph (DAG) into code.

Examples:

Request syntax with placeholder values

resp = client.create_script({
  dag_nodes: [
    {
      id: "CodeGenIdentifier", # required
      node_type: "CodeGenNodeType", # required
      args: [ # required
        {
          name: "CodeGenArgName", # required
          value: "CodeGenArgValue", # required
          param: false,
        },
      ],
      line_number: 1,
    },
  ],
  dag_edges: [
    {
      source: "CodeGenIdentifier", # required
      target: "CodeGenIdentifier", # required
      target_parameter: "CodeGenArgName",
    },
  ],
  language: "PYTHON", # accepts PYTHON, SCALA
})

Response structure

resp.python_script #=> String
resp.scala_code #=> String

Parameters:

• params (Hash) (defaults to: {}) —

  ({})

Options Hash (params):

• :dag_nodes (Array<Types::CodeGenNode>) —

  A list of the nodes in the DAG.

• :dag_edges (Array<Types::CodeGenEdge>) —

  A list of the edges in the DAG.

• :language (String) —

  The programming language of the resulting code from the DAG.

Returns:

• (Types::CreateScriptResponse) —

  Returns a response object which responds to the following methods:

  • #python_script => String

  • #scala_code => String

See Also:

• AWS API Documentation

# File 'lib/aws-sdk-glue/client.rb', line 4312

def create_script(params = {}, options = {})
  req = build_request(:create_script, params)
  req.send_request(options)
end

#create_security_configuration(params = {}) ⇒ Types::CreateSecurityConfigurationResponse

Creates a new security configuration. A security configuration is a set of security properties that can be used by Glue. You can use a security configuration to encrypt data at rest. For information about using security configurations in Glue, see [Encrypting Data Written by Crawlers, Jobs, and Development Endpoints].

[1]: docs.aws.amazon.com/glue/latest/dg/encryption-security-configuration.html

Examples:

Request syntax with placeholder values

resp = client.create_security_configuration({
  name: "NameString", # required
  encryption_configuration: { # required
    s3_encryption: [
      {
        s3_encryption_mode: "DISABLED", # accepts DISABLED, SSE-KMS, SSE-S3
        kms_key_arn: "KmsKeyArn",
      },
    ],
    cloud_watch_encryption: {
      cloud_watch_encryption_mode: "DISABLED", # accepts DISABLED, SSE-KMS
      kms_key_arn: "KmsKeyArn",
    },
    job_bookmarks_encryption: {
      job_bookmarks_encryption_mode: "DISABLED", # accepts DISABLED, CSE-KMS
      kms_key_arn: "KmsKeyArn",
    },
  },
})

Response structure

resp.name #=> String
resp.created_timestamp #=> Time

Parameters:

• params (Hash) (defaults to: {}) —

  ({})

Options Hash (params):

• :name (required, String) —

  The name for the new security configuration.

• :encryption_configuration (required, Types::EncryptionConfiguration) —

  The encryption configuration for the new security configuration.

Returns:

• (Types::CreateSecurityConfigurationResponse) —

  Returns a response object which responds to the following methods:

  • #name => String

  • #created_timestamp => Time

See Also:

• AWS API Documentation

# File 'lib/aws-sdk-glue/client.rb', line 4369

def create_security_configuration(params = {}, options = {})
  req = build_request(:create_security_configuration, params)
  req.send_request(options)
end

#create_session(params = {}) ⇒ Types::CreateSessionResponse

Creates a new session.

Examples:

Request syntax with placeholder values

resp = client.create_session({
  id: "NameString", # required
  description: "DescriptionString",
  role: "OrchestrationRoleArn", # required
  command: { # required
    name: "NameString",
    python_version: "PythonVersionString",
  },
  timeout: 1,
  idle_timeout: 1,
  default_arguments: {
    "OrchestrationNameString" => "OrchestrationArgumentsValue",
  },
  connections: {
    connections: ["GenericString"],
  },
  max_capacity: 1.0,
  number_of_workers: 1,
  worker_type: "Standard", # accepts Standard, G.1X, G.2X, G.025X, G.4X, G.8X, Z.2X
  security_configuration: "NameString",
  glue_version: "GlueVersionString",
  tags: {
    "TagKey" => "TagValue",
  },
  request_origin: "OrchestrationNameString",
})

Response structure

resp.session.id #=> String
resp.session.created_on #=> Time
resp.session.status #=> String, one of "PROVISIONING", "READY", "FAILED", "TIMEOUT", "STOPPING", "STOPPED"
resp.session.error_message #=> String
resp.session.description #=> String
resp.session.role #=> String
resp.session.command.name #=> String
resp.session.command.python_version #=> String
resp.session.default_arguments #=> Hash
resp.session.default_arguments["OrchestrationNameString"] #=> String
resp.session.connections.connections #=> Array
resp.session.connections.connections[0] #=> String
resp.session.progress #=> Float
resp.session.max_capacity #=> Float
resp.session.security_configuration #=> String
resp.session.glue_version #=> String
resp.session.number_of_workers #=> Integer
resp.session.worker_type #=> String, one of "Standard", "G.1X", "G.2X", "G.025X", "G.4X", "G.8X", "Z.2X"
resp.session.completed_on #=> Time
resp.session.execution_time #=> Float
resp.session.dpu_seconds #=> Float
resp.session.idle_timeout #=> Integer
resp.session.profile_name #=> String

Parameters:

• params (Hash) (defaults to: {}) —

  ({})

Options Hash (params):

• :id (required, String) —

  The ID of the session request.

• :description (String) —

  The description of the session.

• :role (required, String) —

  The IAM Role ARN

• :command (required, Types::SessionCommand) —

  The ‘SessionCommand` that runs the job.

• :timeout (Integer) —

  The number of minutes before session times out. Default for Spark ETL jobs is 48 hours (2880 minutes), the maximum session lifetime for this job type. Consult the documentation for other job types.

• :idle_timeout (Integer) —

  The number of minutes when idle before session times out. Default for Spark ETL jobs is value of Timeout. Consult the documentation for other job types.

• :default_arguments (Hash<String,String>) —

  A map array of key-value pairs. Max is 75 pairs.

• :connections (Types::ConnectionsList) —

  The number of connections to use for the session.

• :max_capacity (Float) —

  The number of Glue data processing units (DPUs) that can be allocated when the job runs. A DPU is a relative measure of processing power that consists of 4 vCPUs of compute capacity and 16 GB memory.

• :number_of_workers (Integer) —

  The number of workers of a defined ‘WorkerType` to use for the session.

• :worker_type (String) —

  The type of predefined worker that is allocated when a job runs. Accepts a value of G.1X, G.2X, G.4X, or G.8X for Spark jobs. Accepts the value Z.2X for Ray notebooks.

  • For the ‘G.1X` worker type, each worker maps to 1 DPU (4 vCPUs, 16 GB of memory) with 84GB disk (approximately 34GB free), and provides 1 executor per worker. We recommend this worker type for workloads such as data transforms, joins, and queries, to offers a scalable and cost effective way to run most jobs.

  • For the ‘G.2X` worker type, each worker maps to 2 DPU (8 vCPUs, 32 GB of memory) with 128GB disk (approximately 77GB free), and provides 1 executor per worker. We recommend this worker type for workloads such as data transforms, joins, and queries, to offers a scalable and cost effective way to run most jobs.

  • For the ‘G.4X` worker type, each worker maps to 4 DPU (16 vCPUs, 64 GB of memory) with 256GB disk (approximately 235GB free), and provides 1 executor per worker. We recommend this worker type for jobs whose workloads contain your most demanding transforms, aggregations, joins, and queries. This worker type is available only for Glue version 3.0 or later Spark ETL jobs in the following Amazon Web Services Regions: US East (Ohio), US East (N. Virginia), US West (Oregon), Asia Pacific (Singapore), Asia Pacific (Sydney), Asia Pacific (Tokyo), Canada (Central), Europe (Frankfurt), Europe (Ireland), and Europe (Stockholm).

  • For the ‘G.8X` worker type, each worker maps to 8 DPU (32 vCPUs, 128 GB of memory) with 512GB disk (approximately 487GB free), and provides 1 executor per worker. We recommend this worker type for jobs whose workloads contain your most demanding transforms, aggregations, joins, and queries. This worker type is available only for Glue version 3.0 or later Spark ETL jobs, in the same Amazon Web Services Regions as supported for the `G.4X` worker type.

  • For the ‘Z.2X` worker type, each worker maps to 2 M-DPU (8vCPUs, 64 GB of memory) with 128 GB disk (approximately 120GB free), and provides up to 8 Ray workers based on the autoscaler.

• :security_configuration (String) —

  The name of the SecurityConfiguration structure to be used with the session

• :glue_version (String) —

  The Glue version determines the versions of Apache Spark and Python that Glue supports. The GlueVersion must be greater than 2.0.

• :tags (Hash<String,String>) —

  The map of key value pairs (tags) belonging to the session.

• :request_origin (String) —

  The origin of the request.

Returns:

• (Types::CreateSessionResponse) —

  Returns a response object which responds to the following methods:

  • #session => Types::Session

See Also:

• AWS API Documentation

# File 'lib/aws-sdk-glue/client.rb', line 4530

def create_session(params = {}, options = {})
  req = build_request(:create_session, params)
  req.send_request(options)
end

#create_table(params = {}) ⇒ Struct

Creates a new table definition in the Data Catalog.

Examples:

Request syntax with placeholder values

resp = client.create_table({
  catalog_id: "CatalogIdString",
  database_name: "NameString", # required
  table_input: { # required
    name: "NameString", # required
    description: "DescriptionString",
    owner: "NameString",
    last_access_time: Time.now,
    last_analyzed_time: Time.now,
    retention: 1,
    storage_descriptor: {
      columns: [
        {
          name: "NameString", # required
          type: "ColumnTypeString",
          comment: "CommentString",
          parameters: {
            "KeyString" => "ParametersMapValue",
          },
        },
      ],
      location: "LocationString",
      additional_locations: ["LocationString"],
      input_format: "FormatString",
      output_format: "FormatString",
      compressed: false,
      number_of_buckets: 1,
      serde_info: {
        name: "NameString",
        serialization_library: "NameString",
        parameters: {
          "KeyString" => "ParametersMapValue",
        },
      },
      bucket_columns: ["NameString"],
      sort_columns: [
        {
          column: "NameString", # required
          sort_order: 1, # required
        },
      ],
      parameters: {
        "KeyString" => "ParametersMapValue",
      },
      skewed_info: {
        skewed_column_names: ["NameString"],
        skewed_column_values: ["ColumnValuesString"],
        skewed_column_value_location_maps: {
          "ColumnValuesString" => "ColumnValuesString",
        },
      },
      stored_as_sub_directories: false,
      schema_reference: {
        schema_id: {
          schema_arn: "GlueResourceArn",
          schema_name: "SchemaRegistryNameString",
          registry_name: "SchemaRegistryNameString",
        },
        schema_version_id: "SchemaVersionIdString",
        schema_version_number: 1,
      },
    },
    partition_keys: [
      {
        name: "NameString", # required
        type: "ColumnTypeString",
        comment: "CommentString",
        parameters: {
          "KeyString" => "ParametersMapValue",
        },
      },
    ],
    view_original_text: "ViewTextString",
    view_expanded_text: "ViewTextString",
    table_type: "TableTypeString",
    parameters: {
      "KeyString" => "ParametersMapValue",
    },
    target_table: {
      catalog_id: "CatalogIdString",
      database_name: "NameString",
      name: "NameString",
      region: "NameString",
    },
    view_definition: {
      is_protected: false,
      definer: "ArnString",
      representations: [
        {
          dialect: "REDSHIFT", # accepts REDSHIFT, ATHENA, SPARK
          dialect_version: "ViewDialectVersionString",
          view_original_text: "ViewTextString",
          validation_connection: "NameString",
          view_expanded_text: "ViewTextString",
        },
      ],
      sub_objects: ["ArnString"],
    },
  },
  partition_indexes: [
    {
      keys: ["NameString"], # required
      index_name: "NameString", # required
    },
  ],
  transaction_id: "TransactionIdString",
  open_table_format_input: {
    iceberg_input: {
      metadata_operation: "CREATE", # required, accepts CREATE
      version: "VersionString",
    },
  },
})

Parameters:

• params (Hash) (defaults to: {}) —

  ({})

Options Hash (params):

• :catalog_id (String) —

  The ID of the Data Catalog in which to create the ‘Table`. If none is supplied, the Amazon Web Services account ID is used by default.

• :database_name (required, String) —

  The catalog database in which to create the new table. For Hive compatibility, this name is entirely lowercase.

• :table_input (required, Types::TableInput) —

  The ‘TableInput` object that defines the metadata table to create in the catalog.

• :partition_indexes (Array<Types::PartitionIndex>) —

  A list of partition indexes, ‘PartitionIndex` structures, to create in the table.

• :transaction_id (String) —

  The ID of the transaction.

• :open_table_format_input (Types::OpenTableFormatInput) —

  Specifies an ‘OpenTableFormatInput` structure when creating an open format table.

Returns:

• (Struct) —

  Returns an empty response.

See Also:

• AWS API Documentation

# File 'lib/aws-sdk-glue/client.rb', line 4682

def create_table(params = {}, options = {})
  req = build_request(:create_table, params)
  req.send_request(options)
end

#create_table_optimizer(params = {}) ⇒ Struct

Creates a new table optimizer for a specific function. ‘compaction` is the only currently supported optimizer type.

Examples:

Request syntax with placeholder values

resp = client.create_table_optimizer({
  catalog_id: "CatalogIdString", # required
  database_name: "NameString", # required
  table_name: "NameString", # required
  type: "compaction", # required, accepts compaction
  table_optimizer_configuration: { # required
    role_arn: "ArnString",
    enabled: false,
  },
})

Parameters:

• params (Hash) (defaults to: {}) —

  ({})

Options Hash (params):

• :catalog_id (required, String) —

  The Catalog ID of the table.

• :database_name (required, String) —

  The name of the database in the catalog in which the table resides.

• :table_name (required, String) —

  The name of the table.

• :type (required, String) —

  The type of table optimizer. Currently, the only valid value is ‘compaction`.

• :table_optimizer_configuration (required, Types::TableOptimizerConfiguration) —

  A ‘TableOptimizerConfiguration` object representing the configuration of a table optimizer.

Returns:

• (Struct) —

  Returns an empty response.

See Also:

• AWS API Documentation

# File 'lib/aws-sdk-glue/client.rb', line 4726

def create_table_optimizer(params = {}, options = {})
  req = build_request(:create_table_optimizer, params)
  req.send_request(options)
end

#create_trigger(params = {}) ⇒ Types::CreateTriggerResponse

Creates a new trigger.

Examples:

Request syntax with placeholder values

resp = client.create_trigger({
  name: "NameString", # required
  workflow_name: "NameString",
  type: "SCHEDULED", # required, accepts SCHEDULED, CONDITIONAL, ON_DEMAND, EVENT
  schedule: "GenericString",
  predicate: {
    logical: "AND", # accepts AND, ANY
    conditions: [
      {
        logical_operator: "EQUALS", # accepts EQUALS
        job_name: "NameString",
        state: "STARTING", # accepts STARTING, RUNNING, STOPPING, STOPPED, SUCCEEDED, FAILED, TIMEOUT, ERROR, WAITING, EXPIRED
        crawler_name: "NameString",
        crawl_state: "RUNNING", # accepts RUNNING, CANCELLING, CANCELLED, SUCCEEDED, FAILED, ERROR
      },
    ],
  },
  actions: [ # required
    {
      job_name: "NameString",
      arguments: {
        "GenericString" => "GenericString",
      },
      timeout: 1,
      security_configuration: "NameString",
      notification_property: {
        notify_delay_after: 1,
      },
      crawler_name: "NameString",
    },
  ],
  description: "DescriptionString",
  start_on_creation: false,
  tags: {
    "TagKey" => "TagValue",
  },
  event_batching_condition: {
    batch_size: 1, # required
    batch_window: 1,
  },
})

Response structure

resp.name #=> String

Parameters:

• params (Hash) (defaults to: {}) —

  ({})

Options Hash (params):

• :name (required, String) —

  The name of the trigger.

• :workflow_name (String) —

  The name of the workflow associated with the trigger.

• :type (required, String) —

  The type of the new trigger.

• :schedule (String) —

  A ‘cron` expression used to specify the schedule (see [Time-Based Schedules for Jobs and Crawlers]. For example, to run something every day at 12:15 UTC, you would specify: `cron(15 12 * * ? *)`.

  This field is required when the trigger type is SCHEDULED.

  [1]: docs.aws.amazon.com/glue/latest/dg/monitor-data-warehouse-schedule.html

• :predicate (Types::Predicate) —

  A predicate to specify when the new trigger should fire.

  This field is required when the trigger type is ‘CONDITIONAL`.

• :actions (required, Array<Types::Action>) —

  The actions initiated by this trigger when it fires.

• :description (String) —

  A description of the new trigger.

• :start_on_creation (Boolean) —

  Set to ‘true` to start `SCHEDULED` and `CONDITIONAL` triggers when created. True is not supported for `ON_DEMAND` triggers.

• :tags (Hash<String,String>) —

  The tags to use with this trigger. You may use tags to limit access to the trigger. For more information about tags in Glue, see [Amazon Web Services Tags in Glue] in the developer guide.

  [1]: docs.aws.amazon.com/glue/latest/dg/monitor-tags.html

• :event_batching_condition (Types::EventBatchingCondition) —

  Batch condition that must be met (specified number of events received or batch time window expired) before EventBridge event trigger fires.

Returns:

• (Types::CreateTriggerResponse) —

  Returns a response object which responds to the following methods:

  • #name => String

See Also:

• AWS API Documentation

# File 'lib/aws-sdk-glue/client.rb', line 4837

def create_trigger(params = {}, options = {})
  req = build_request(:create_trigger, params)
  req.send_request(options)
end

#create_usage_profile(params = {}) ⇒ Types::CreateUsageProfileResponse

Creates an Glue usage profile.

Examples:

Request syntax with placeholder values

resp = client.create_usage_profile({
  name: "NameString", # required
  description: "DescriptionString",
  configuration: { # required
    session_configuration: {
      "NameString" => {
        default_value: "ConfigValueString",
        allowed_values: ["ConfigValueString"],
        min_value: "ConfigValueString",
        max_value: "ConfigValueString",
      },
    },
    job_configuration: {
      "NameString" => {
        default_value: "ConfigValueString",
        allowed_values: ["ConfigValueString"],
        min_value: "ConfigValueString",
        max_value: "ConfigValueString",
      },
    },
  },
  tags: {
    "TagKey" => "TagValue",
  },
})

Response structure

resp.name #=> String

Parameters:

• params (Hash) (defaults to: {}) —

  ({})

Options Hash (params):

• :name (required, String) —

  The name of the usage profile.

• :description (String) —

  A description of the usage profile.

• :configuration (required, Types::ProfileConfiguration) —

  A ‘ProfileConfiguration` object specifying the job and session values for the profile.

• :tags (Hash<String,String>) —

  A list of tags applied to the usage profile.

Returns:

• (Types::CreateUsageProfileResponse) —

  Returns a response object which responds to the following methods:

  • #name => String

See Also:

• AWS API Documentation

# File 'lib/aws-sdk-glue/client.rb', line 4897

def create_usage_profile(params = {}, options = {})
  req = build_request(:create_usage_profile, params)
  req.send_request(options)
end

#create_user_defined_function(params = {}) ⇒ Struct

Creates a new function definition in the Data Catalog.

Examples:

Request syntax with placeholder values

resp = client.create_user_defined_function({
  catalog_id: "CatalogIdString",
  database_name: "NameString", # required
  function_input: { # required
    function_name: "NameString",
    class_name: "NameString",
    owner_name: "NameString",
    owner_type: "USER", # accepts USER, ROLE, GROUP
    resource_uris: [
      {
        resource_type: "JAR", # accepts JAR, FILE, ARCHIVE
        uri: "URI",
      },
    ],
  },
})

Parameters:

• params (Hash) (defaults to: {}) —

  ({})

Options Hash (params):

• :catalog_id (String) —

  The ID of the Data Catalog in which to create the function. If none is provided, the Amazon Web Services account ID is used by default.

• :database_name (required, String) —

  The name of the catalog database in which to create the function.

• :function_input (required, Types::UserDefinedFunctionInput) —

  A ‘FunctionInput` object that defines the function to create in the Data Catalog.

Returns:

• (Struct) —

  Returns an empty response.

See Also:

• AWS API Documentation

# File 'lib/aws-sdk-glue/client.rb', line 4940

def create_user_defined_function(params = {}, options = {})
  req = build_request(:create_user_defined_function, params)
  req.send_request(options)
end

#create_workflow(params = {}) ⇒ Types::CreateWorkflowResponse

Creates a new workflow.

Examples:

Request syntax with placeholder values

resp = client.create_workflow({
  name: "NameString", # required
  description: "GenericString",
  default_run_properties: {
    "IdString" => "GenericString",
  },
  tags: {
    "TagKey" => "TagValue",
  },
  max_concurrent_runs: 1,
})

Response structure

resp.name #=> String

Parameters:

• params (Hash) (defaults to: {}) —

  ({})

Options Hash (params):

• :name (required, String) —

  The name to be assigned to the workflow. It should be unique within your account.

• :description (String) —

  A description of the workflow.

• :default_run_properties (Hash<String,String>) —

  A collection of properties to be used as part of each execution of the workflow.

• :tags (Hash<String,String>) —

  The tags to be used with this workflow.

• :max_concurrent_runs (Integer) —

  You can use this parameter to prevent unwanted multiple updates to data, to control costs, or in some cases, to prevent exceeding the maximum number of concurrent runs of any of the component jobs. If you leave this parameter blank, there is no limit to the number of concurrent workflow runs.

Returns:

• (Types::CreateWorkflowResponse) —

  Returns a response object which responds to the following methods:

  • #name => String

See Also:

• AWS API Documentation

# File 'lib/aws-sdk-glue/client.rb', line 4994

def create_workflow(params = {}, options = {})
  req = build_request(:create_workflow, params)
  req.send_request(options)
end

#delete_blueprint(params = {}) ⇒ Types::DeleteBlueprintResponse

Deletes an existing blueprint.

Examples:

Request syntax with placeholder values

resp = client.delete_blueprint({
  name: "NameString", # required
})

Response structure

resp.name #=> String

Parameters:

• params (Hash) (defaults to: {}) —

  ({})

Options Hash (params):

• :name (required, String) —

  The name of the blueprint to delete.

Returns:

• (Types::DeleteBlueprintResponse) —

  Returns a response object which responds to the following methods:

  • #name => String

See Also:

• AWS API Documentation

# File 'lib/aws-sdk-glue/client.rb', line 5022

def delete_blueprint(params = {}, options = {})
  req = build_request(:delete_blueprint, params)
  req.send_request(options)
end

#delete_classifier(params = {}) ⇒ Struct

Removes a classifier from the Data Catalog.

Examples:

Request syntax with placeholder values

resp = client.delete_classifier({
  name: "NameString", # required
})

Parameters:

• params (Hash) (defaults to: {}) —

  ({})

Options Hash (params):

• :name (required, String) —

  Name of the classifier to remove.

Returns:

• (Struct) —

  Returns an empty response.

See Also:

• AWS API Documentation

# File 'lib/aws-sdk-glue/client.rb', line 5044

def delete_classifier(params = {}, options = {})
  req = build_request(:delete_classifier, params)
  req.send_request(options)
end

#delete_column_statistics_for_partition(params = {}) ⇒ Struct

Delete the partition column statistics of a column.

The Identity and Access Management (IAM) permission required for this operation is ‘DeletePartition`.

Examples:

Request syntax with placeholder values

resp = client.delete_column_statistics_for_partition({
  catalog_id: "CatalogIdString",
  database_name: "NameString", # required
  table_name: "NameString", # required
  partition_values: ["ValueString"], # required
  column_name: "NameString", # required
})

Parameters:

• params (Hash) (defaults to: {}) —

  ({})

Options Hash (params):

• :catalog_id (String) —

  The ID of the Data Catalog where the partitions in question reside. If none is supplied, the Amazon Web Services account ID is used by default.

• :database_name (required, String) —

  The name of the catalog database where the partitions reside.

• :table_name (required, String) —

  The name of the partitions’ table.

• :partition_values (required, Array<String>) —

  A list of partition values identifying the partition.

• :column_name (required, String) —

  Name of the column.

Returns:

• (Struct) —

  Returns an empty response.

See Also:

• AWS API Documentation

# File 'lib/aws-sdk-glue/client.rb', line 5087

def delete_column_statistics_for_partition(params = {}, options = {})
  req = build_request(:delete_column_statistics_for_partition, params)
  req.send_request(options)
end

#delete_column_statistics_for_table(params = {}) ⇒ Struct

Retrieves table statistics of columns.

The Identity and Access Management (IAM) permission required for this operation is ‘DeleteTable`.

Examples:

Request syntax with placeholder values

resp = client.delete_column_statistics_for_table({
  catalog_id: "CatalogIdString",
  database_name: "NameString", # required
  table_name: "NameString", # required
  column_name: "NameString", # required
})

Parameters:

• params (Hash) (defaults to: {}) —

  ({})

Options Hash (params):

• :catalog_id (String) —

  The ID of the Data Catalog where the partitions in question reside. If none is supplied, the Amazon Web Services account ID is used by default.

• :database_name (required, String) —

  The name of the catalog database where the partitions reside.

• :table_name (required, String) —

  The name of the partitions’ table.

• :column_name (required, String) —

  The name of the column.

Returns:

• (Struct) —

  Returns an empty response.

See Also:

• AWS API Documentation

# File 'lib/aws-sdk-glue/client.rb', line 5126

def delete_column_statistics_for_table(params = {}, options = {})
  req = build_request(:delete_column_statistics_for_table, params)
  req.send_request(options)
end

#delete_connection(params = {}) ⇒ Struct

Deletes a connection from the Data Catalog.

Examples:

Request syntax with placeholder values

resp = client.delete_connection({
  catalog_id: "CatalogIdString",
  connection_name: "NameString", # required
})

Parameters:

• params (Hash) (defaults to: {}) —

  ({})

Options Hash (params):

• :catalog_id (String) —

  The ID of the Data Catalog in which the connection resides. If none is provided, the Amazon Web Services account ID is used by default.

• :connection_name (required, String) —

  The name of the connection to delete.

Returns:

• (Struct) —

  Returns an empty response.

See Also:

• AWS API Documentation

# File 'lib/aws-sdk-glue/client.rb', line 5153

def delete_connection(params = {}, options = {})
  req = build_request(:delete_connection, params)
  req.send_request(options)
end

#delete_crawler(params = {}) ⇒ Struct

Removes a specified crawler from the Glue Data Catalog, unless the crawler state is ‘RUNNING`.

Examples:

Request syntax with placeholder values

resp = client.delete_crawler({
  name: "NameString", # required
})

Parameters:

• params (Hash) (defaults to: {}) —

  ({})

Options Hash (params):

• :name (required, String) —

  The name of the crawler to remove.

Returns:

• (Struct) —

  Returns an empty response.

See Also:

• AWS API Documentation

# File 'lib/aws-sdk-glue/client.rb', line 5176

def delete_crawler(params = {}, options = {})
  req = build_request(:delete_crawler, params)
  req.send_request(options)
end

#delete_custom_entity_type(params = {}) ⇒ Types::DeleteCustomEntityTypeResponse

Deletes a custom pattern by specifying its name.

Examples:

Request syntax with placeholder values

resp = client.delete_custom_entity_type({
  name: "NameString", # required
})

Response structure

resp.name #=> String

Parameters:

• params (Hash) (defaults to: {}) —

  ({})

Options Hash (params):

• :name (required, String) —

  The name of the custom pattern that you want to delete.

Returns:

• (Types::DeleteCustomEntityTypeResponse) —

  Returns a response object which responds to the following methods:

  • #name => String

See Also:

• AWS API Documentation

# File 'lib/aws-sdk-glue/client.rb', line 5204

def delete_custom_entity_type(params = {}, options = {})
  req = build_request(:delete_custom_entity_type, params)
  req.send_request(options)
end

#delete_data_quality_ruleset(params = {}) ⇒ Struct

Deletes a data quality ruleset.

Examples:

Request syntax with placeholder values

resp = client.delete_data_quality_ruleset({
  name: "NameString", # required
})

Parameters:

• params (Hash) (defaults to: {}) —

  ({})

Options Hash (params):

• :name (required, String) —

  A name for the data quality ruleset.

Returns:

• (Struct) —

  Returns an empty response.

See Also:

• AWS API Documentation

# File 'lib/aws-sdk-glue/client.rb', line 5226

def delete_data_quality_ruleset(params = {}, options = {})
  req = build_request(:delete_data_quality_ruleset, params)
  req.send_request(options)
end

#delete_database(params = {}) ⇒ Struct

Removes a specified database from a Data Catalog.

<note markdown=“1”> After completing this operation, you no longer have access to the tables (and all table versions and partitions that might belong to the tables) and the user-defined functions in the deleted database. Glue deletes these “orphaned” resources asynchronously in a timely manner, at the discretion of the service.

To ensure the immediate deletion of all related resources, before

calling ‘DeleteDatabase`, use `DeleteTableVersion` or `BatchDeleteTableVersion`, `DeletePartition` or `BatchDeletePartition`, `DeleteUserDefinedFunction`, and `DeleteTable` or `BatchDeleteTable`, to delete any resources that belong to the database.

</note>

Examples:

Request syntax with placeholder values

resp = client.delete_database({
  catalog_id: "CatalogIdString",
  name: "NameString", # required
})

Parameters:

• params (Hash) (defaults to: {}) —

  ({})

Options Hash (params):

• :catalog_id (String) —

  The ID of the Data Catalog in which the database resides. If none is provided, the Amazon Web Services account ID is used by default.

• :name (required, String) —

  The name of the database to delete. For Hive compatibility, this must be all lowercase.

Returns:

• (Struct) —

  Returns an empty response.

See Also:

• AWS API Documentation

# File 'lib/aws-sdk-glue/client.rb', line 5269

def delete_database(params = {}, options = {})
  req = build_request(:delete_database, params)
  req.send_request(options)
end

#delete_dev_endpoint(params = {}) ⇒ Struct

Deletes a specified development endpoint.

Examples:

Request syntax with placeholder values

resp = client.delete_dev_endpoint({
  endpoint_name: "GenericString", # required
})

Parameters:

• params (Hash) (defaults to: {}) —

  ({})

Options Hash (params):

• :endpoint_name (required, String) —

  The name of the ‘DevEndpoint`.

Returns:

• (Struct) —

  Returns an empty response.

See Also:

• AWS API Documentation

# File 'lib/aws-sdk-glue/client.rb', line 5291

def delete_dev_endpoint(params = {}, options = {})
  req = build_request(:delete_dev_endpoint, params)
  req.send_request(options)
end

#delete_job(params = {}) ⇒ Types::DeleteJobResponse

Deletes a specified job definition. If the job definition is not found, no exception is thrown.

Examples:

Request syntax with placeholder values

resp = client.delete_job({
  job_name: "NameString", # required
})

Response structure

resp.job_name #=> String

Parameters:

• params (Hash) (defaults to: {}) —

  ({})

Options Hash (params):

• :job_name (required, String) —

  The name of the job definition to delete.

Returns:

• (Types::DeleteJobResponse) —

  Returns a response object which responds to the following methods:

  • #job_name => String

See Also:

• AWS API Documentation

# File 'lib/aws-sdk-glue/client.rb', line 5320

def delete_job(params = {}, options = {})
  req = build_request(:delete_job, params)
  req.send_request(options)
end

#delete_ml_transform(params = {}) ⇒ Types::DeleteMLTransformResponse

Deletes an Glue machine learning transform. Machine learning transforms are a special type of transform that use machine learning to learn the details of the transformation to be performed by learning from examples provided by humans. These transformations are then saved by Glue. If you no longer need a transform, you can delete it by calling ‘DeleteMLTransforms`. However, any Glue jobs that still reference the deleted transform will no longer succeed.

Examples:

Request syntax with placeholder values

resp = client.delete_ml_transform({
  transform_id: "HashString", # required
})

Response structure

resp.transform_id #=> String

Parameters:

• params (Hash) (defaults to: {}) —

  ({})

Options Hash (params):

• :transform_id (required, String) —

  The unique identifier of the transform to delete.

Returns:

• (Types::DeleteMLTransformResponse) —

  Returns a response object which responds to the following methods:

  • #transform_id => String

See Also:

• AWS API Documentation

# File 'lib/aws-sdk-glue/client.rb', line 5354

def delete_ml_transform(params = {}, options = {})
  req = build_request(:delete_ml_transform, params)
  req.send_request(options)
end

#delete_partition(params = {}) ⇒ Struct

Deletes a specified partition.

Examples:

Request syntax with placeholder values

resp = client.delete_partition({
  catalog_id: "CatalogIdString",
  database_name: "NameString", # required
  table_name: "NameString", # required
  partition_values: ["ValueString"], # required
})

Parameters:

• params (Hash) (defaults to: {}) —

  ({})

Options Hash (params):

• :catalog_id (String) —

  The ID of the Data Catalog where the partition to be deleted resides. If none is provided, the Amazon Web Services account ID is used by default.

• :database_name (required, String) —

  The name of the catalog database in which the table in question resides.

• :table_name (required, String) —

  The name of the table that contains the partition to be deleted.

• :partition_values (required, Array<String>) —

  The values that define the partition.

Returns:

• (Struct) —

  Returns an empty response.

See Also:

• AWS API Documentation

# File 'lib/aws-sdk-glue/client.rb', line 5391

def delete_partition(params = {}, options = {})
  req = build_request(:delete_partition, params)
  req.send_request(options)
end

#delete_partition_index(params = {}) ⇒ Struct

Deletes a specified partition index from an existing table.

Examples:

Request syntax with placeholder values

resp = client.delete_partition_index({
  catalog_id: "CatalogIdString",
  database_name: "NameString", # required
  table_name: "NameString", # required
  index_name: "NameString", # required
})

Parameters:

• params (Hash) (defaults to: {}) —

  ({})

Options Hash (params):

• :catalog_id (String) —

  The catalog ID where the table resides.

• :database_name (required, String) —

  Specifies the name of a database from which you want to delete a partition index.

• :table_name (required, String) —

  Specifies the name of a table from which you want to delete a partition index.

• :index_name (required, String) —

  The name of the partition index to be deleted.

Returns:

• (Struct) —

  Returns an empty response.

See Also:

• AWS API Documentation

# File 'lib/aws-sdk-glue/client.rb', line 5427

def delete_partition_index(params = {}, options = {})
  req = build_request(:delete_partition_index, params)
  req.send_request(options)
end

#delete_registry(params = {}) ⇒ Types::DeleteRegistryResponse

Delete the entire registry including schema and all of its versions. To get the status of the delete operation, you can call the ‘GetRegistry` API after the asynchronous call. Deleting a registry will deactivate all online operations for the registry such as the `UpdateRegistry`, `CreateSchema`, `UpdateSchema`, and `RegisterSchemaVersion` APIs.

Examples:

Request syntax with placeholder values

resp = client.delete_registry({
  registry_id: { # required
    registry_name: "SchemaRegistryNameString",
    registry_arn: "GlueResourceArn",
  },
})

Response structure

resp.registry_name #=> String
resp.registry_arn #=> String
resp.status #=> String, one of "AVAILABLE", "DELETING"

Parameters:

• params (Hash) (defaults to: {}) —

  ({})

Options Hash (params):

• :registry_id (required, Types::RegistryId) —

  This is a wrapper structure that may contain the registry name and Amazon Resource Name (ARN).

Returns:

• (Types::DeleteRegistryResponse) —

  Returns a response object which responds to the following methods:

  • #registry_name => String

  • #registry_arn => String

  • #status => String

See Also:

• AWS API Documentation

# File 'lib/aws-sdk-glue/client.rb', line 5468

def delete_registry(params = {}, options = {})
  req = build_request(:delete_registry, params)
  req.send_request(options)
end

#delete_resource_policy(params = {}) ⇒ Struct

Deletes a specified policy.

Examples:

Request syntax with placeholder values

resp = client.delete_resource_policy({
  policy_hash_condition: "HashString",
  resource_arn: "GlueResourceArn",
})

Parameters:

• params (Hash) (defaults to: {}) —

  ({})

Options Hash (params):

• :policy_hash_condition (String) —

  The hash value returned when this policy was set.

• :resource_arn (String) —

  The ARN of the Glue resource for the resource policy to be deleted.

Returns:

• (Struct) —

  Returns an empty response.

See Also:

• AWS API Documentation

# File 'lib/aws-sdk-glue/client.rb', line 5494

def delete_resource_policy(params = {}, options = {})
  req = build_request(:delete_resource_policy, params)
  req.send_request(options)
end

#delete_schema(params = {}) ⇒ Types::DeleteSchemaResponse

Deletes the entire schema set, including the schema set and all of its versions. To get the status of the delete operation, you can call ‘GetSchema` API after the asynchronous call. Deleting a registry will deactivate all online operations for the schema, such as the `GetSchemaByDefinition`, and `RegisterSchemaVersion` APIs.

Examples:

Request syntax with placeholder values

resp = client.delete_schema({
  schema_id: { # required
    schema_arn: "GlueResourceArn",
    schema_name: "SchemaRegistryNameString",
    registry_name: "SchemaRegistryNameString",
  },
})

Response structure

resp.schema_arn #=> String
resp.schema_name #=> String
resp.status #=> String, one of "AVAILABLE", "PENDING", "DELETING"

Parameters:

• params (Hash) (defaults to: {}) —

  ({})

Options Hash (params):

• :schema_id (required, Types::SchemaId) —

  This is a wrapper structure that may contain the schema name and Amazon Resource Name (ARN).

Returns:

• (Types::DeleteSchemaResponse) —

  Returns a response object which responds to the following methods:

  • #schema_arn => String

  • #schema_name => String

  • #status => String

See Also:

• AWS API Documentation

# File 'lib/aws-sdk-glue/client.rb', line 5535

def delete_schema(params = {}, options = {})
  req = build_request(:delete_schema, params)
  req.send_request(options)
end

#delete_schema_versions(params = {}) ⇒ Types::DeleteSchemaVersionsResponse

Remove versions from the specified schema. A version number or range may be supplied. If the compatibility mode forbids deleting of a version that is necessary, such as BACKWARDS_FULL, an error is returned. Calling the ‘GetSchemaVersions` API after this call will list the status of the deleted versions.

When the range of version numbers contain check pointed version, the API will return a 409 conflict and will not proceed with the deletion. You have to remove the checkpoint first using the ‘DeleteSchemaCheckpoint` API before using this API.

You cannot use the ‘DeleteSchemaVersions` API to delete the first schema version in the schema set. The first schema version can only be deleted by the `DeleteSchema` API. This operation will also delete the attached `SchemaVersionMetadata` under the schema versions. Hard deletes will be enforced on the database.

If the compatibility mode forbids deleting of a version that is necessary, such as BACKWARDS_FULL, an error is returned.

Examples:

Request syntax with placeholder values

resp = client.delete_schema_versions({
  schema_id: { # required
    schema_arn: "GlueResourceArn",
    schema_name: "SchemaRegistryNameString",
    registry_name: "SchemaRegistryNameString",
  },
  versions: "VersionsString", # required
})

Response structure

resp.schema_version_errors #=> Array
resp.schema_version_errors[0].version_number #=> Integer
resp.schema_version_errors[0].error_details.error_code #=> String
resp.schema_version_errors[0].error_details.error_message #=> String

Parameters:

• params (Hash) (defaults to: {}) —

  ({})

Options Hash (params):

• :schema_id (required, Types::SchemaId) —

  This is a wrapper structure that may contain the schema name and Amazon Resource Name (ARN).

• :versions (required, String) —

  A version range may be supplied which may be of the format:

  • a single version number, 5

  • a range, 5-8 : deletes versions 5, 6, 7, 8

Returns:

• (Types::DeleteSchemaVersionsResponse) —

  Returns a response object which responds to the following methods:

  • #schema_version_errors => Array&lt;Types::SchemaVersionErrorItem&gt;

See Also:

• AWS API Documentation

# File 'lib/aws-sdk-glue/client.rb', line 5597

def delete_schema_versions(params = {}, options = {})
  req = build_request(:delete_schema_versions, params)
  req.send_request(options)
end

#delete_security_configuration(params = {}) ⇒ Struct

Deletes a specified security configuration.

Examples:

Request syntax with placeholder values

resp = client.delete_security_configuration({
  name: "NameString", # required
})

Parameters:

• params (Hash) (defaults to: {}) —

  ({})

Options Hash (params):

• :name (required, String) —

  The name of the security configuration to delete.

Returns:

• (Struct) —

  Returns an empty response.

See Also:

• AWS API Documentation

# File 'lib/aws-sdk-glue/client.rb', line 5619

def delete_security_configuration(params = {}, options = {})
  req = build_request(:delete_security_configuration, params)
  req.send_request(options)
end

#delete_session(params = {}) ⇒ Types::DeleteSessionResponse

Deletes the session.

Examples:

Request syntax with placeholder values

resp = client.delete_session({
  id: "NameString", # required
  request_origin: "OrchestrationNameString",
})

Response structure

resp.id #=> String

Parameters:

• params (Hash) (defaults to: {}) —

  ({})

Options Hash (params):

• :id (required, String) —

  The ID of the session to be deleted.

• :request_origin (String) —

  The name of the origin of the delete session request.

Returns:

• (Types::DeleteSessionResponse) —

  Returns a response object which responds to the following methods:

  • #id => String

See Also:

• AWS API Documentation

# File 'lib/aws-sdk-glue/client.rb', line 5651

def delete_session(params = {}, options = {})
  req = build_request(:delete_session, params)
  req.send_request(options)
end

#delete_table(params = {}) ⇒ Struct

Removes a table definition from the Data Catalog.

<note markdown=“1”> After completing this operation, you no longer have access to the table versions and partitions that belong to the deleted table. Glue deletes these “orphaned” resources asynchronously in a timely manner, at the discretion of the service.

To ensure the immediate deletion of all related resources, before

calling ‘DeleteTable`, use `DeleteTableVersion` or `BatchDeleteTableVersion`, and `DeletePartition` or `BatchDeletePartition`, to delete any resources that belong to the table.

</note>

Examples:

Request syntax with placeholder values

resp = client.delete_table({
  catalog_id: "CatalogIdString",
  database_name: "NameString", # required
  name: "NameString", # required
  transaction_id: "TransactionIdString",
})

Parameters:

• params (Hash) (defaults to: {}) —

  ({})

Options Hash (params):

• :catalog_id (String) —

  The ID of the Data Catalog where the table resides. If none is provided, the Amazon Web Services account ID is used by default.

• :database_name (required, String) —

  The name of the catalog database in which the table resides. For Hive compatibility, this name is entirely lowercase.

• :name (required, String) —

  The name of the table to be deleted. For Hive compatibility, this name is entirely lowercase.

• :transaction_id (String) —

  The transaction ID at which to delete the table contents.

Returns:

• (Struct) —

  Returns an empty response.

See Also:

• AWS API Documentation

# File 'lib/aws-sdk-glue/client.rb', line 5701

def delete_table(params = {}, options = {})
  req = build_request(:delete_table, params)
  req.send_request(options)
end

#delete_table_optimizer(params = {}) ⇒ Struct

Deletes an optimizer and all associated metadata for a table. The optimization will no longer be performed on the table.

Examples:

Request syntax with placeholder values

resp = client.delete_table_optimizer({
  catalog_id: "CatalogIdString", # required
  database_name: "NameString", # required
  table_name: "NameString", # required
  type: "compaction", # required, accepts compaction
})

Parameters:

• params (Hash) (defaults to: {}) —

  ({})

Options Hash (params):

• :catalog_id (required, String) —

  The Catalog ID of the table.

• :database_name (required, String) —

  The name of the database in the catalog in which the table resides.

• :table_name (required, String) —

  The name of the table.

• :type (required, String) —

  The type of table optimizer.

Returns:

• (Struct) —

  Returns an empty response.

See Also:

• AWS API Documentation

# File 'lib/aws-sdk-glue/client.rb', line 5736

def delete_table_optimizer(params = {}, options = {})
  req = build_request(:delete_table_optimizer, params)
  req.send_request(options)
end

#delete_table_version(params = {}) ⇒ Struct

Deletes a specified version of a table.

Examples:

Request syntax with placeholder values

resp = client.delete_table_version({
  catalog_id: "CatalogIdString",
  database_name: "NameString", # required
  table_name: "NameString", # required
  version_id: "VersionString", # required
})

Parameters:

• params (Hash) (defaults to: {}) —

  ({})

Options Hash (params):

• :catalog_id (String) —

  The ID of the Data Catalog where the tables reside. If none is provided, the Amazon Web Services account ID is used by default.

• :database_name (required, String) —

  The database in the catalog in which the table resides. For Hive compatibility, this name is entirely lowercase.

• :table_name (required, String) —

  The name of the table. For Hive compatibility, this name is entirely lowercase.

• :version_id (required, String) —

  The ID of the table version to be deleted. A ‘VersionID` is a string representation of an integer. Each version is incremented by 1.

Returns:

• (Struct) —

  Returns an empty response.

See Also:

• AWS API Documentation

# File 'lib/aws-sdk-glue/client.rb', line 5774

def delete_table_version(params = {}, options = {})
  req = build_request(:delete_table_version, params)
  req.send_request(options)
end

#delete_trigger(params = {}) ⇒ Types::DeleteTriggerResponse

Deletes a specified trigger. If the trigger is not found, no exception is thrown.

Examples:

Request syntax with placeholder values

resp = client.delete_trigger({
  name: "NameString", # required
})

Response structure

resp.name #=> String

Parameters:

• params (Hash) (defaults to: {}) —

  ({})

Options Hash (params):

• :name (required, String) —

  The name of the trigger to delete.

Returns:

• (Types::DeleteTriggerResponse) —

  Returns a response object which responds to the following methods:

  • #name => String

See Also:

• AWS API Documentation

# File 'lib/aws-sdk-glue/client.rb', line 5803

def delete_trigger(params = {}, options = {})
  req = build_request(:delete_trigger, params)
  req.send_request(options)
end

#delete_usage_profile(params = {}) ⇒ Struct

Deletes the Glue specified usage profile.

Examples:

Request syntax with placeholder values

resp = client.delete_usage_profile({
  name: "NameString", # required
})

Parameters:

• params (Hash) (defaults to: {}) —

  ({})

Options Hash (params):

• :name (required, String) —

  The name of the usage profile to delete.

Returns:

• (Struct) —

  Returns an empty response.

See Also:

• AWS API Documentation

# File 'lib/aws-sdk-glue/client.rb', line 5825

def delete_usage_profile(params = {}, options = {})
  req = build_request(:delete_usage_profile, params)
  req.send_request(options)
end

#delete_user_defined_function(params = {}) ⇒ Struct

Deletes an existing function definition from the Data Catalog.

Examples:

Request syntax with placeholder values

resp = client.delete_user_defined_function({
  catalog_id: "CatalogIdString",
  database_name: "NameString", # required
  function_name: "NameString", # required
})

Parameters:

• params (Hash) (defaults to: {}) —

  ({})

Options Hash (params):

• :catalog_id (String) —

  The ID of the Data Catalog where the function to be deleted is located. If none is supplied, the Amazon Web Services account ID is used by default.

• :database_name (required, String) —

  The name of the catalog database where the function is located.

• :function_name (required, String) —

  The name of the function definition to be deleted.

Returns:

• (Struct) —

  Returns an empty response.

See Also:

• AWS API Documentation

# File 'lib/aws-sdk-glue/client.rb', line 5857

def delete_user_defined_function(params = {}, options = {})
  req = build_request(:delete_user_defined_function, params)
  req.send_request(options)
end

#delete_workflow(params = {}) ⇒ Types::DeleteWorkflowResponse

Deletes a workflow.

Examples:

Request syntax with placeholder values

resp = client.delete_workflow({
  name: "NameString", # required
})

Response structure

resp.name #=> String

Parameters:

• params (Hash) (defaults to: {}) —

  ({})

Options Hash (params):

• :name (required, String) —

  Name of the workflow to be deleted.

Returns:

• (Types::DeleteWorkflowResponse) —

  Returns a response object which responds to the following methods:

  • #name => String

See Also:

• AWS API Documentation

# File 'lib/aws-sdk-glue/client.rb', line 5885

def delete_workflow(params = {}, options = {})
  req = build_request(:delete_workflow, params)
  req.send_request(options)
end

#get_blueprint(params = {}) ⇒ Types::GetBlueprintResponse

Retrieves the details of a blueprint.

Examples:

Request syntax with placeholder values

resp = client.get_blueprint({
  name: "NameString", # required
  include_blueprint: false,
  include_parameter_spec: false,
})

Response structure

resp.blueprint.name #=> String
resp.blueprint.description #=> String
resp.blueprint.created_on #=> Time
resp.blueprint.last_modified_on #=> Time
resp.blueprint.parameter_spec #=> String
resp.blueprint.blueprint_location #=> String
resp.blueprint.blueprint_service_location #=> String
resp.blueprint.status #=> String, one of "CREATING", "ACTIVE", "UPDATING", "FAILED"
resp.blueprint.error_message #=> String
resp.blueprint.last_active_definition.description #=> String
resp.blueprint.last_active_definition.last_modified_on #=> Time
resp.blueprint.last_active_definition.parameter_spec #=> String
resp.blueprint.last_active_definition.blueprint_location #=> String
resp.blueprint.last_active_definition.blueprint_service_location #=> String

Parameters:

• params (Hash) (defaults to: {}) —

  ({})

Options Hash (params):

• :name (required, String) —

  The name of the blueprint.

• :include_blueprint (Boolean) —

  Specifies whether or not to include the blueprint in the response.

• :include_parameter_spec (Boolean) —

  Specifies whether or not to include the parameter specification.

Returns:

• (Types::GetBlueprintResponse) —

  Returns a response object which responds to the following methods:

  • #blueprint => Types::Blueprint

See Also:

• AWS API Documentation

# File 'lib/aws-sdk-glue/client.rb', line 5934

def get_blueprint(params = {}, options = {})
  req = build_request(:get_blueprint, params)
  req.send_request(options)
end

#get_blueprint_run(params = {}) ⇒ Types::GetBlueprintRunResponse

Retrieves the details of a blueprint run.

Examples:

Request syntax with placeholder values

resp = client.get_blueprint_run({
  blueprint_name: "OrchestrationNameString", # required
  run_id: "IdString", # required
})

Response structure

resp.blueprint_run.blueprint_name #=> String
resp.blueprint_run.run_id #=> String
resp.blueprint_run.workflow_name #=> String
resp.blueprint_run.state #=> String, one of "RUNNING", "SUCCEEDED", "FAILED", "ROLLING_BACK"
resp.blueprint_run.started_on #=> Time
resp.blueprint_run.completed_on #=> Time
resp.blueprint_run.error_message #=> String
resp.blueprint_run.rollback_error_message #=> String
resp.blueprint_run.parameters #=> String
resp.blueprint_run.role_arn #=> String

Parameters:

• params (Hash) (defaults to: {}) —

  ({})

Options Hash (params):

• :blueprint_name (required, String) —

  The name of the blueprint.

• :run_id (required, String) —

  The run ID for the blueprint run you want to retrieve.

Returns:

• (Types::GetBlueprintRunResponse) —

  Returns a response object which responds to the following methods:

  • #blueprint_run => Types::BlueprintRun

See Also:

• AWS API Documentation

# File 'lib/aws-sdk-glue/client.rb', line 5975

def get_blueprint_run(params = {}, options = {})
  req = build_request(:get_blueprint_run, params)
  req.send_request(options)
end

#get_blueprint_runs(params = {}) ⇒ Types::GetBlueprintRunsResponse

Retrieves the details of blueprint runs for a specified blueprint.

The returned response is a pageable response and is Enumerable. For details on usage see PageableResponse.

Examples:

Request syntax with placeholder values

resp = client.get_blueprint_runs({
  blueprint_name: "NameString", # required
  next_token: "GenericString",
  max_results: 1,
})

Response structure

resp.blueprint_runs #=> Array
resp.blueprint_runs[0].blueprint_name #=> String
resp.blueprint_runs[0].run_id #=> String
resp.blueprint_runs[0].workflow_name #=> String
resp.blueprint_runs[0].state #=> String, one of "RUNNING", "SUCCEEDED", "FAILED", "ROLLING_BACK"
resp.blueprint_runs[0].started_on #=> Time
resp.blueprint_runs[0].completed_on #=> Time
resp.blueprint_runs[0].error_message #=> String
resp.blueprint_runs[0].rollback_error_message #=> String
resp.blueprint_runs[0].parameters #=> String
resp.blueprint_runs[0].role_arn #=> String
resp.next_token #=> String

Parameters:

• params (Hash) (defaults to: {}) —

  ({})

Options Hash (params):

• :blueprint_name (required, String) —

  The name of the blueprint.

• :next_token (String) —

  A continuation token, if this is a continuation request.

• :max_results (Integer) —

  The maximum size of a list to return.

Returns:

• (Types::GetBlueprintRunsResponse) —

  Returns a response object which responds to the following methods:

  • #blueprint_runs => Array&lt;Types::BlueprintRun&gt;

  • #next_token => String

See Also:

• AWS API Documentation

# File 'lib/aws-sdk-glue/client.rb', line 6025

def get_blueprint_runs(params = {}, options = {})
  req = build_request(:get_blueprint_runs, params)
  req.send_request(options)
end

#get_catalog_import_status(params = {}) ⇒ Types::GetCatalogImportStatusResponse

Retrieves the status of a migration operation.

Examples:

Request syntax with placeholder values

resp = client.get_catalog_import_status({
  catalog_id: "CatalogIdString",
})

Response structure

resp.import_status.import_completed #=> Boolean
resp.import_status.import_time #=> Time
resp.import_status.imported_by #=> String

Parameters:

• params (Hash) (defaults to: {}) —

  ({})

Options Hash (params):

• :catalog_id (String) —

  The ID of the catalog to migrate. Currently, this should be the Amazon Web Services account ID.

Returns:

• (Types::GetCatalogImportStatusResponse) —

  Returns a response object which responds to the following methods:

  • #import_status => Types::CatalogImportStatus

See Also:

• AWS API Documentation

# File 'lib/aws-sdk-glue/client.rb', line 6056

def get_catalog_import_status(params = {}, options = {})
  req = build_request(:get_catalog_import_status, params)
  req.send_request(options)
end

#get_classifier(params = {}) ⇒ Types::GetClassifierResponse

Retrieve a classifier by name.

Examples:

Request syntax with placeholder values

resp = client.get_classifier({
  name: "NameString", # required
})

Response structure

resp.classifier.grok_classifier.name #=> String
resp.classifier.grok_classifier.classification #=> String
resp.classifier.grok_classifier.creation_time #=> Time
resp.classifier.grok_classifier.last_updated #=> Time
resp.classifier.grok_classifier.version #=> Integer
resp.classifier.grok_classifier.grok_pattern #=> String
resp.classifier.grok_classifier.custom_patterns #=> String
resp.classifier.xml_classifier.name #=> String
resp.classifier.xml_classifier.classification #=> String
resp.classifier.xml_classifier.creation_time #=> Time
resp.classifier.xml_classifier.last_updated #=> Time
resp.classifier.xml_classifier.version #=> Integer
resp.classifier.xml_classifier.row_tag #=> String
resp.classifier.json_classifier.name #=> String
resp.classifier.json_classifier.creation_time #=> Time
resp.classifier.json_classifier.last_updated #=> Time
resp.classifier.json_classifier.version #=> Integer
resp.classifier.json_classifier.json_path #=> String
resp.classifier.csv_classifier.name #=> String
resp.classifier.csv_classifier.creation_time #=> Time
resp.classifier.csv_classifier.last_updated #=> Time
resp.classifier.csv_classifier.version #=> Integer
resp.classifier.csv_classifier.delimiter #=> String
resp.classifier.csv_classifier.quote_symbol #=> String
resp.classifier.csv_classifier.contains_header #=> String, one of "UNKNOWN", "PRESENT", "ABSENT"
resp.classifier.csv_classifier.header #=> Array
resp.classifier.csv_classifier.header[0] #=> String
resp.classifier.csv_classifier.disable_value_trimming #=> Boolean
resp.classifier.csv_classifier.allow_single_column #=> Boolean
resp.classifier.csv_classifier.custom_datatype_configured #=> Boolean
resp.classifier.csv_classifier.custom_datatypes #=> Array
resp.classifier.csv_classifier.custom_datatypes[0] #=> String
resp.classifier.csv_classifier.serde #=> String, one of "OpenCSVSerDe", "LazySimpleSerDe", "None"

Parameters:

• params (Hash) (defaults to: {}) —

  ({})

Options Hash (params):

• :name (required, String) —

  Name of the classifier to retrieve.

Returns:

• (Types::GetClassifierResponse) —

  Returns a response object which responds to the following methods:

  • #classifier => Types::Classifier

See Also:

• AWS API Documentation

# File 'lib/aws-sdk-glue/client.rb', line 6116

def get_classifier(params = {}, options = {})
  req = build_request(:get_classifier, params)
  req.send_request(options)
end

#get_classifiers(params = {}) ⇒ Types::GetClassifiersResponse

Lists all classifier objects in the Data Catalog.

The returned response is a pageable response and is Enumerable. For details on usage see PageableResponse.

Examples:

Request syntax with placeholder values

resp = client.get_classifiers({
  max_results: 1,
  next_token: "Token",
})

Response structure

resp.classifiers #=> Array
resp.classifiers[0].grok_classifier.name #=> String
resp.classifiers[0].grok_classifier.classification #=> String
resp.classifiers[0].grok_classifier.creation_time #=> Time
resp.classifiers[0].grok_classifier.last_updated #=> Time
resp.classifiers[0].grok_classifier.version #=> Integer
resp.classifiers[0].grok_classifier.grok_pattern #=> String
resp.classifiers[0].grok_classifier.custom_patterns #=> String
resp.classifiers[0].xml_classifier.name #=> String
resp.classifiers[0].xml_classifier.classification #=> String
resp.classifiers[0].xml_classifier.creation_time #=> Time
resp.classifiers[0].xml_classifier.last_updated #=> Time
resp.classifiers[0].xml_classifier.version #=> Integer
resp.classifiers[0].xml_classifier.row_tag #=> String
resp.classifiers[0].json_classifier.name #=> String
resp.classifiers[0].json_classifier.creation_time #=> Time
resp.classifiers[0].json_classifier.last_updated #=> Time
resp.classifiers[0].json_classifier.version #=> Integer
resp.classifiers[0].json_classifier.json_path #=> String
resp.classifiers[0].csv_classifier.name #=> String
resp.classifiers[0].csv_classifier.creation_time #=> Time
resp.classifiers[0].csv_classifier.last_updated #=> Time
resp.classifiers[0].csv_classifier.version #=> Integer
resp.classifiers[0].csv_classifier.delimiter #=> String
resp.classifiers[0].csv_classifier.quote_symbol #=> String
resp.classifiers[0].csv_classifier.contains_header #=> String, one of "UNKNOWN", "PRESENT", "ABSENT"
resp.classifiers[0].csv_classifier.header #=> Array
resp.classifiers[0].csv_classifier.header[0] #=> String
resp.classifiers[0].csv_classifier.disable_value_trimming #=> Boolean
resp.classifiers[0].csv_classifier.allow_single_column #=> Boolean
resp.classifiers[0].csv_classifier.custom_datatype_configured #=> Boolean
resp.classifiers[0].csv_classifier.custom_datatypes #=> Array
resp.classifiers[0].csv_classifier.custom_datatypes[0] #=> String
resp.classifiers[0].csv_classifier.serde #=> String, one of "OpenCSVSerDe", "LazySimpleSerDe", "None"
resp.next_token #=> String

Parameters:

• params (Hash) (defaults to: {}) —

  ({})

Options Hash (params):

• :max_results (Integer) —

  The size of the list to return (optional).

• :next_token (String) —

  An optional continuation token.

Returns:

• (Types::GetClassifiersResponse) —

  Returns a response object which responds to the following methods:

  • #classifiers => Array&lt;Types::Classifier&gt;

  • #next_token => String

See Also:

• AWS API Documentation

# File 'lib/aws-sdk-glue/client.rb', line 6185

def get_classifiers(params = {}, options = {})
  req = build_request(:get_classifiers, params)
  req.send_request(options)
end

#get_column_statistics_for_partition(params = {}) ⇒ Types::GetColumnStatisticsForPartitionResponse

Retrieves partition statistics of columns.

The Identity and Access Management (IAM) permission required for this operation is ‘GetPartition`.

Examples:

Request syntax with placeholder values

resp = client.get_column_statistics_for_partition({
  catalog_id: "CatalogIdString",
  database_name: "NameString", # required
  table_name: "NameString", # required
  partition_values: ["ValueString"], # required
  column_names: ["NameString"], # required
})

Response structure

resp.column_statistics_list #=> Array
resp.column_statistics_list[0].column_name #=> String
resp.column_statistics_list[0].column_type #=> String
resp.column_statistics_list[0].analyzed_time #=> Time
resp.column_statistics_list[0].statistics_data.type #=> String, one of "BOOLEAN", "DATE", "DECIMAL", "DOUBLE", "LONG", "STRING", "BINARY"
resp.column_statistics_list[0].statistics_data.boolean_column_statistics_data.number_of_trues #=> Integer
resp.column_statistics_list[0].statistics_data.boolean_column_statistics_data.number_of_falses #=> Integer
resp.column_statistics_list[0].statistics_data.boolean_column_statistics_data.number_of_nulls #=> Integer
resp.column_statistics_list[0].statistics_data.date_column_statistics_data.minimum_value #=> Time
resp.column_statistics_list[0].statistics_data.date_column_statistics_data.maximum_value #=> Time
resp.column_statistics_list[0].statistics_data.date_column_statistics_data.number_of_nulls #=> Integer
resp.column_statistics_list[0].statistics_data.date_column_statistics_data.number_of_distinct_values #=> Integer
resp.column_statistics_list[0].statistics_data.decimal_column_statistics_data.minimum_value.unscaled_value #=> String
resp.column_statistics_list[0].statistics_data.decimal_column_statistics_data.minimum_value.scale #=> Integer
resp.column_statistics_list[0].statistics_data.decimal_column_statistics_data.maximum_value.unscaled_value #=> String
resp.column_statistics_list[0].statistics_data.decimal_column_statistics_data.maximum_value.scale #=> Integer
resp.column_statistics_list[0].statistics_data.decimal_column_statistics_data.number_of_nulls #=> Integer
resp.column_statistics_list[0].statistics_data.decimal_column_statistics_data.number_of_distinct_values #=> Integer
resp.column_statistics_list[0].statistics_data.double_column_statistics_data.minimum_value #=> Float
resp.column_statistics_list[0].statistics_data.double_column_statistics_data.maximum_value #=> Float
resp.column_statistics_list[0].statistics_data.double_column_statistics_data.number_of_nulls #=> Integer
resp.column_statistics_list[0].statistics_data.double_column_statistics_data.number_of_distinct_values #=> Integer
resp.column_statistics_list[0].statistics_data.long_column_statistics_data.minimum_value #=> Integer
resp.column_statistics_list[0].statistics_data.long_column_statistics_data.maximum_value #=> Integer
resp.column_statistics_list[0].statistics_data.long_column_statistics_data.number_of_nulls #=> Integer
resp.column_statistics_list[0].statistics_data.long_column_statistics_data.number_of_distinct_values #=> Integer
resp.column_statistics_list[0].statistics_data.string_column_statistics_data.maximum_length #=> Integer
resp.column_statistics_list[0].statistics_data.string_column_statistics_data.average_length #=> Float
resp.column_statistics_list[0].statistics_data.string_column_statistics_data.number_of_nulls #=> Integer
resp.column_statistics_list[0].statistics_data.string_column_statistics_data.number_of_distinct_values #=> Integer
resp.column_statistics_list[0].statistics_data.binary_column_statistics_data.maximum_length #=> Integer
resp.column_statistics_list[0].statistics_data.binary_column_statistics_data.average_length #=> Float
resp.column_statistics_list[0].statistics_data.binary_column_statistics_data.number_of_nulls #=> Integer
resp.errors #=> Array
resp.errors[0].column_name #=> String
resp.errors[0].error.error_code #=> String
resp.errors[0].error.error_message #=> String

Parameters:

• params (Hash) (defaults to: {}) —

  ({})

Options Hash (params):

• :catalog_id (String) —

  The ID of the Data Catalog where the partitions in question reside. If none is supplied, the Amazon Web Services account ID is used by default.

• :database_name (required, String) —

  The name of the catalog database where the partitions reside.

• :table_name (required, String) —

  The name of the partitions’ table.

• :partition_values (required, Array<String>) —

  A list of partition values identifying the partition.

• :column_names (required, Array<String>) —

  A list of the column names.

Returns:

• (Types::GetColumnStatisticsForPartitionResponse) —

  Returns a response object which responds to the following methods:

  • #column_statistics_list => Array&lt;Types::ColumnStatistics&gt;

  • #errors => Array&lt;Types::ColumnError&gt;

See Also:

• AWS API Documentation

# File 'lib/aws-sdk-glue/client.rb', line 6271

def get_column_statistics_for_partition(params = {}, options = {})
  req = build_request(:get_column_statistics_for_partition, params)
  req.send_request(options)
end

#get_column_statistics_for_table(params = {}) ⇒ Types::GetColumnStatisticsForTableResponse

Retrieves table statistics of columns.

The Identity and Access Management (IAM) permission required for this operation is ‘GetTable`.

Examples:

Request syntax with placeholder values

resp = client.get_column_statistics_for_table({
  catalog_id: "CatalogIdString",
  database_name: "NameString", # required
  table_name: "NameString", # required
  column_names: ["NameString"], # required
})

Response structure

resp.column_statistics_list #=> Array
resp.column_statistics_list[0].column_name #=> String
resp.column_statistics_list[0].column_type #=> String
resp.column_statistics_list[0].analyzed_time #=> Time
resp.column_statistics_list[0].statistics_data.type #=> String, one of "BOOLEAN", "DATE", "DECIMAL", "DOUBLE", "LONG", "STRING", "BINARY"
resp.column_statistics_list[0].statistics_data.boolean_column_statistics_data.number_of_trues #=> Integer
resp.column_statistics_list[0].statistics_data.boolean_column_statistics_data.number_of_falses #=> Integer
resp.column_statistics_list[0].statistics_data.boolean_column_statistics_data.number_of_nulls #=> Integer
resp.column_statistics_list[0].statistics_data.date_column_statistics_data.minimum_value #=> Time
resp.column_statistics_list[0].statistics_data.date_column_statistics_data.maximum_value #=> Time
resp.column_statistics_list[0].statistics_data.date_column_statistics_data.number_of_nulls #=> Integer
resp.column_statistics_list[0].statistics_data.date_column_statistics_data.number_of_distinct_values #=> Integer
resp.column_statistics_list[0].statistics_data.decimal_column_statistics_data.minimum_value.unscaled_value #=> String
resp.column_statistics_list[0].statistics_data.decimal_column_statistics_data.minimum_value.scale #=> Integer
resp.column_statistics_list[0].statistics_data.decimal_column_statistics_data.maximum_value.unscaled_value #=> String
resp.column_statistics_list[0].statistics_data.decimal_column_statistics_data.maximum_value.scale #=> Integer
resp.column_statistics_list[0].statistics_data.decimal_column_statistics_data.number_of_nulls #=> Integer
resp.column_statistics_list[0].statistics_data.decimal_column_statistics_data.number_of_distinct_values #=> Integer
resp.column_statistics_list[0].statistics_data.double_column_statistics_data.minimum_value #=> Float
resp.column_statistics_list[0].statistics_data.double_column_statistics_data.maximum_value #=> Float
resp.column_statistics_list[0].statistics_data.double_column_statistics_data.number_of_nulls #=> Integer
resp.column_statistics_list[0].statistics_data.double_column_statistics_data.number_of_distinct_values #=> Integer
resp.column_statistics_list[0].statistics_data.long_column_statistics_data.minimum_value #=> Integer
resp.column_statistics_list[0].statistics_data.long_column_statistics_data.maximum_value #=> Integer
resp.column_statistics_list[0].statistics_data.long_column_statistics_data.number_of_nulls #=> Integer
resp.column_statistics_list[0].statistics_data.long_column_statistics_data.number_of_distinct_values #=> Integer
resp.column_statistics_list[0].statistics_data.string_column_statistics_data.maximum_length #=> Integer
resp.column_statistics_list[0].statistics_data.string_column_statistics_data.average_length #=> Float
resp.column_statistics_list[0].statistics_data.string_column_statistics_data.number_of_nulls #=> Integer
resp.column_statistics_list[0].statistics_data.string_column_statistics_data.number_of_distinct_values #=> Integer
resp.column_statistics_list[0].statistics_data.binary_column_statistics_data.maximum_length #=> Integer
resp.column_statistics_list[0].statistics_data.binary_column_statistics_data.average_length #=> Float
resp.column_statistics_list[0].statistics_data.binary_column_statistics_data.number_of_nulls #=> Integer
resp.errors #=> Array
resp.errors[0].column_name #=> String
resp.errors[0].error.error_code #=> String
resp.errors[0].error.error_message #=> String

Parameters:

• params (Hash) (defaults to: {}) —

  ({})

Options Hash (params):

• :catalog_id (String) —

  The ID of the Data Catalog where the partitions in question reside. If none is supplied, the Amazon Web Services account ID is used by default.

• :database_name (required, String) —

  The name of the catalog database where the partitions reside.

• :table_name (required, String) —

  The name of the partitions’ table.

• :column_names (required, Array<String>) —

  A list of the column names.

Returns:

• (Types::GetColumnStatisticsForTableResponse) —

  Returns a response object which responds to the following methods:

  • #column_statistics_list => Array&lt;Types::ColumnStatistics&gt;

  • #errors => Array&lt;Types::ColumnError&gt;

See Also:

• AWS API Documentation

# File 'lib/aws-sdk-glue/client.rb', line 6353

def get_column_statistics_for_table(params = {}, options = {})
  req = build_request(:get_column_statistics_for_table, params)
  req.send_request(options)
end

#get_column_statistics_task_run(params = {}) ⇒ Types::GetColumnStatisticsTaskRunResponse

Get the associated metadata/information for a task run, given a task run ID.

Examples:

Request syntax with placeholder values

resp = client.get_column_statistics_task_run({
  column_statistics_task_run_id: "HashString", # required
})

Response structure

resp.column_statistics_task_run.customer_id #=> String
resp.column_statistics_task_run.column_statistics_task_run_id #=> String
resp.column_statistics_task_run.database_name #=> String
resp.column_statistics_task_run.table_name #=> String
resp.column_statistics_task_run.column_name_list #=> Array
resp.column_statistics_task_run.column_name_list[0] #=> String
resp.column_statistics_task_run.catalog_id #=> String
resp.column_statistics_task_run.role #=> String
resp.column_statistics_task_run.sample_size #=> Float
resp.column_statistics_task_run.security_configuration #=> String
resp.column_statistics_task_run.number_of_workers #=> Integer
resp.column_statistics_task_run.worker_type #=> String
resp.column_statistics_task_run.status #=> String, one of "STARTING", "RUNNING", "SUCCEEDED", "FAILED", "STOPPED"
resp.column_statistics_task_run.creation_time #=> Time
resp.column_statistics_task_run.last_updated #=> Time
resp.column_statistics_task_run.start_time #=> Time
resp.column_statistics_task_run.end_time #=> Time
resp.column_statistics_task_run.error_message #=> String
resp.column_statistics_task_run.dpu_seconds #=> Float

Parameters:

• params (Hash) (defaults to: {}) —

  ({})

Options Hash (params):

• :column_statistics_task_run_id (required, String) —

  The identifier for the particular column statistics task run.

Returns:

• (Types::GetColumnStatisticsTaskRunResponse) —

  Returns a response object which responds to the following methods:

  • #column_statistics_task_run => Types::ColumnStatisticsTaskRun

See Also:

• AWS API Documentation

# File 'lib/aws-sdk-glue/client.rb', line 6400

def get_column_statistics_task_run(params = {}, options = {})
  req = build_request(:get_column_statistics_task_run, params)
  req.send_request(options)
end

#get_column_statistics_task_runs(params = {}) ⇒ Types::GetColumnStatisticsTaskRunsResponse

Retrieves information about all runs associated with the specified table.

The returned response is a pageable response and is Enumerable. For details on usage see PageableResponse.

Examples:

Request syntax with placeholder values

resp = client.get_column_statistics_task_runs({
  database_name: "DatabaseName", # required
  table_name: "NameString", # required
  max_results: 1,
  next_token: "Token",
})

Response structure

resp.column_statistics_task_runs #=> Array
resp.column_statistics_task_runs[0].customer_id #=> String
resp.column_statistics_task_runs[0].column_statistics_task_run_id #=> String
resp.column_statistics_task_runs[0].database_name #=> String
resp.column_statistics_task_runs[0].table_name #=> String
resp.column_statistics_task_runs[0].column_name_list #=> Array
resp.column_statistics_task_runs[0].column_name_list[0] #=> String
resp.column_statistics_task_runs[0].catalog_id #=> String
resp.column_statistics_task_runs[0].role #=> String
resp.column_statistics_task_runs[0].sample_size #=> Float
resp.column_statistics_task_runs[0].security_configuration #=> String
resp.column_statistics_task_runs[0].number_of_workers #=> Integer
resp.column_statistics_task_runs[0].worker_type #=> String
resp.column_statistics_task_runs[0].status #=> String, one of "STARTING", "RUNNING", "SUCCEEDED", "FAILED", "STOPPED"
resp.column_statistics_task_runs[0].creation_time #=> Time
resp.column_statistics_task_runs[0].last_updated #=> Time
resp.column_statistics_task_runs[0].start_time #=> Time
resp.column_statistics_task_runs[0].end_time #=> Time
resp.column_statistics_task_runs[0].error_message #=> String
resp.column_statistics_task_runs[0].dpu_seconds #=> Float
resp.next_token #=> String

Parameters:

• params (Hash) (defaults to: {}) —

  ({})

Options Hash (params):

• :database_name (required, String) —

  The name of the database where the table resides.

• :table_name (required, String) —

  The name of the table.

• :max_results (Integer) —

  The maximum size of the response.

• :next_token (String) —

  A continuation token, if this is a continuation call.

Returns:

• (Types::GetColumnStatisticsTaskRunsResponse) —

  Returns a response object which responds to the following methods:

  • #column_statistics_task_runs => Array&lt;Types::ColumnStatisticsTaskRun&gt;

  • #next_token => String

See Also:

• AWS API Documentation

# File 'lib/aws-sdk-glue/client.rb', line 6464

def get_column_statistics_task_runs(params = {}, options = {})
  req = build_request(:get_column_statistics_task_runs, params)
  req.send_request(options)
end

#get_connection(params = {}) ⇒ Types::GetConnectionResponse

Retrieves a connection definition from the Data Catalog.

Examples:

Request syntax with placeholder values

resp = client.get_connection({
  catalog_id: "CatalogIdString",
  name: "NameString", # required
  hide_password: false,
})

Response structure

resp.connection.name #=> String
resp.connection.description #=> String
resp.connection.connection_type #=> String, one of "JDBC", "SFTP", "MONGODB", "KAFKA", "NETWORK", "MARKETPLACE", "CUSTOM", "SALESFORCE"
resp.connection.match_criteria #=> Array
resp.connection.match_criteria[0] #=> String
resp.connection.connection_properties #=> Hash
resp.connection.connection_properties["ConnectionPropertyKey"] #=> String
resp.connection.physical_connection_requirements.subnet_id #=> String
resp.connection.physical_connection_requirements.security_group_id_list #=> Array
resp.connection.physical_connection_requirements.security_group_id_list[0] #=> String
resp.connection.physical_connection_requirements.availability_zone #=> String
resp.connection.creation_time #=> Time
resp.connection.last_updated_time #=> Time
resp.connection.last_updated_by #=> String
resp.connection.status #=> String, one of "READY", "IN_PROGRESS", "FAILED"
resp.connection.status_reason #=> String
resp.connection.last_connection_validation_time #=> Time
resp.connection.authentication_configuration.authentication_type #=> String, one of "BASIC", "OAUTH2", "CUSTOM"
resp.connection.authentication_configuration.secret_arn #=> String
resp.connection.authentication_configuration.o_auth_2_properties.o_auth_2_grant_type #=> String, one of "AUTHORIZATION_CODE", "CLIENT_CREDENTIALS", "JWT_BEARER"
resp.connection.authentication_configuration.o_auth_2_properties.o_auth_2_client_application.user_managed_client_application_client_id #=> String
resp.connection.authentication_configuration.o_auth_2_properties.o_auth_2_client_application.aws_managed_client_application_reference #=> String
resp.connection.authentication_configuration.o_auth_2_properties.token_url #=> String
resp.connection.authentication_configuration.o_auth_2_properties.token_url_parameters_map #=> Hash
resp.connection.authentication_configuration.o_auth_2_properties.token_url_parameters_map["TokenUrlParameterKey"] #=> String

Parameters:

• params (Hash) (defaults to: {}) —

  ({})

Options Hash (params):

• :catalog_id (String) —

  The ID of the Data Catalog in which the connection resides. If none is provided, the Amazon Web Services account ID is used by default.

• :name (required, String) —

  The name of the connection definition to retrieve.

• :hide_password (Boolean) —

  Allows you to retrieve the connection metadata without returning the password. For instance, the Glue console uses this flag to retrieve the connection, and does not display the password. Set this parameter when the caller might not have permission to use the KMS key to decrypt the password, but it does have permission to access the rest of the connection properties.

Returns:

• (Types::GetConnectionResponse) —

  Returns a response object which responds to the following methods:

  • #connection => Types::Connection

See Also:

• AWS API Documentation

# File 'lib/aws-sdk-glue/client.rb', line 6530

def get_connection(params = {}, options = {})
  req = build_request(:get_connection, params)
  req.send_request(options)
end

#get_connections(params = {}) ⇒ Types::GetConnectionsResponse

Retrieves a list of connection definitions from the Data Catalog.

The returned response is a pageable response and is Enumerable. For details on usage see PageableResponse.

Examples:

Request syntax with placeholder values

resp = client.get_connections({
  catalog_id: "CatalogIdString",
  filter: {
    match_criteria: ["NameString"],
    connection_type: "JDBC", # accepts JDBC, SFTP, MONGODB, KAFKA, NETWORK, MARKETPLACE, CUSTOM, SALESFORCE
  },
  hide_password: false,
  next_token: "Token",
  max_results: 1,
})

Response structure

resp.connection_list #=> Array
resp.connection_list[0].name #=> String
resp.connection_list[0].description #=> String
resp.connection_list[0].connection_type #=> String, one of "JDBC", "SFTP", "MONGODB", "KAFKA", "NETWORK", "MARKETPLACE", "CUSTOM", "SALESFORCE"
resp.connection_list[0].match_criteria #=> Array
resp.connection_list[0].match_criteria[0] #=> String
resp.connection_list[0].connection_properties #=> Hash
resp.connection_list[0].connection_properties["ConnectionPropertyKey"] #=> String
resp.connection_list[0].physical_connection_requirements.subnet_id #=> String
resp.connection_list[0].physical_connection_requirements.security_group_id_list #=> Array
resp.connection_list[0].physical_connection_requirements.security_group_id_list[0] #=> String
resp.connection_list[0].physical_connection_requirements.availability_zone #=> String
resp.connection_list[0].creation_time #=> Time
resp.connection_list[0].last_updated_time #=> Time
resp.connection_list[0].last_updated_by #=> String
resp.connection_list[0].status #=> String, one of "READY", "IN_PROGRESS", "FAILED"
resp.connection_list[0].status_reason #=> String
resp.connection_list[0].last_connection_validation_time #=> Time
resp.connection_list[0].authentication_configuration.authentication_type #=> String, one of "BASIC", "OAUTH2", "CUSTOM"
resp.connection_list[0].authentication_configuration.secret_arn #=> String
resp.connection_list[0].authentication_configuration.o_auth_2_properties.o_auth_2_grant_type #=> String, one of "AUTHORIZATION_CODE", "CLIENT_CREDENTIALS", "JWT_BEARER"
resp.connection_list[0].authentication_configuration.o_auth_2_properties.o_auth_2_client_application.user_managed_client_application_client_id #=> String
resp.connection_list[0].authentication_configuration.o_auth_2_properties.o_auth_2_client_application.aws_managed_client_application_reference #=> String
resp.connection_list[0].authentication_configuration.o_auth_2_properties.token_url #=> String
resp.connection_list[0].authentication_configuration.o_auth_2_properties.token_url_parameters_map #=> Hash
resp.connection_list[0].authentication_configuration.o_auth_2_properties.token_url_parameters_map["TokenUrlParameterKey"] #=> String
resp.next_token #=> String

Parameters:

• params (Hash) (defaults to: {}) —

  ({})

Options Hash (params):

• :catalog_id (String) —

  The ID of the Data Catalog in which the connections reside. If none is provided, the Amazon Web Services account ID is used by default.

• :filter (Types::GetConnectionsFilter) —

  A filter that controls which connections are returned.

• :hide_password (Boolean) —

  Allows you to retrieve the connection metadata without returning the password. For instance, the Glue console uses this flag to retrieve the connection, and does not display the password. Set this parameter when the caller might not have permission to use the KMS key to decrypt the password, but it does have permission to access the rest of the connection properties.

• :next_token (String) —

  A continuation token, if this is a continuation call.

• :max_results (Integer) —

  The maximum number of connections to return in one response.

Returns:

• (Types::GetConnectionsResponse) —

  Returns a response object which responds to the following methods:

  • #connection_list => Array&lt;Types::Connection&gt;

  • #next_token => String

See Also:

• AWS API Documentation

# File 'lib/aws-sdk-glue/client.rb', line 6612

def get_connections(params = {}, options = {})
  req = build_request(:get_connections, params)
  req.send_request(options)
end

#get_crawler(params = {}) ⇒ Types::GetCrawlerResponse

Retrieves metadata for a specified crawler.

Examples:

Request syntax with placeholder values

resp = client.get_crawler({
  name: "NameString", # required
})

Response structure

resp.crawler.name #=> String
resp.crawler.role #=> String
resp.crawler.targets.s3_targets #=> Array
resp.crawler.targets.s3_targets[0].path #=> String
resp.crawler.targets.s3_targets[0].exclusions #=> Array
resp.crawler.targets.s3_targets[0].exclusions[0] #=> String
resp.crawler.targets.s3_targets[0].connection_name #=> String
resp.crawler.targets.s3_targets[0].sample_size #=> Integer
resp.crawler.targets.s3_targets[0].event_queue_arn #=> String
resp.crawler.targets.s3_targets[0].dlq_event_queue_arn #=> String
resp.crawler.targets.jdbc_targets #=> Array
resp.crawler.targets.jdbc_targets[0].connection_name #=> String
resp.crawler.targets.jdbc_targets[0].path #=> String
resp.crawler.targets.jdbc_targets[0].exclusions #=> Array
resp.crawler.targets.jdbc_targets[0].exclusions[0] #=> String
resp.crawler.targets.jdbc_targets[0].enable_additional_metadata #=> Array
resp.crawler.targets.jdbc_targets[0].enable_additional_metadata[0] #=> String, one of "COMMENTS", "RAWTYPES"
resp.crawler.targets.mongo_db_targets #=> Array
resp.crawler.targets.mongo_db_targets[0].connection_name #=> String
resp.crawler.targets.mongo_db_targets[0].path #=> String
resp.crawler.targets.mongo_db_targets[0].scan_all #=> Boolean
resp.crawler.targets.dynamo_db_targets #=> Array
resp.crawler.targets.dynamo_db_targets[0].path #=> String
resp.crawler.targets.dynamo_db_targets[0].scan_all #=> Boolean
resp.crawler.targets.dynamo_db_targets[0].scan_rate #=> Float
resp.crawler.targets.catalog_targets #=> Array
resp.crawler.targets.catalog_targets[0].database_name #=> String
resp.crawler.targets.catalog_targets[0].tables #=> Array
resp.crawler.targets.catalog_targets[0].tables[0] #=> String
resp.crawler.targets.catalog_targets[0].connection_name #=> String
resp.crawler.targets.catalog_targets[0].event_queue_arn #=> String
resp.crawler.targets.catalog_targets[0].dlq_event_queue_arn #=> String
resp.crawler.targets.delta_targets #=> Array
resp.crawler.targets.delta_targets[0].delta_tables #=> Array
resp.crawler.targets.delta_targets[0].delta_tables[0] #=> String
resp.crawler.targets.delta_targets[0].connection_name #=> String
resp.crawler.targets.delta_targets[0].write_manifest #=> Boolean
resp.crawler.targets.delta_targets[0].create_native_delta_table #=> Boolean
resp.crawler.targets.iceberg_targets #=> Array
resp.crawler.targets.iceberg_targets[0].paths #=> Array
resp.crawler.targets.iceberg_targets[0].paths[0] #=> String
resp.crawler.targets.iceberg_targets[0].connection_name #=> String
resp.crawler.targets.iceberg_targets[0].exclusions #=> Array
resp.crawler.targets.iceberg_targets[0].exclusions[0] #=> String
resp.crawler.targets.iceberg_targets[0].maximum_traversal_depth #=> Integer
resp.crawler.targets.hudi_targets #=> Array
resp.crawler.targets.hudi_targets[0].paths #=> Array
resp.crawler.targets.hudi_targets[0].paths[0] #=> String
resp.crawler.targets.hudi_targets[0].connection_name #=> String
resp.crawler.targets.hudi_targets[0].exclusions #=> Array
resp.crawler.targets.hudi_targets[0].exclusions[0] #=> String
resp.crawler.targets.hudi_targets[0].maximum_traversal_depth #=> Integer
resp.crawler.database_name #=> String
resp.crawler.description #=> String
resp.crawler.classifiers #=> Array
resp.crawler.classifiers[0] #=> String
resp.crawler.recrawl_policy.recrawl_behavior #=> String, one of "CRAWL_EVERYTHING", "CRAWL_NEW_FOLDERS_ONLY", "CRAWL_EVENT_MODE"
resp.crawler.schema_change_policy.update_behavior #=> String, one of "LOG", "UPDATE_IN_DATABASE"
resp.crawler.schema_change_policy.delete_behavior #=> String, one of "LOG", "DELETE_FROM_DATABASE", "DEPRECATE_IN_DATABASE"
resp.crawler.lineage_configuration.crawler_lineage_settings #=> String, one of "ENABLE", "DISABLE"
resp.crawler.state #=> String, one of "READY", "RUNNING", "STOPPING"
resp.crawler.table_prefix #=> String
resp.crawler.schedule.schedule_expression #=> String
resp.crawler.schedule.state #=> String, one of "SCHEDULED", "NOT_SCHEDULED", "TRANSITIONING"
resp.crawler.crawl_elapsed_time #=> Integer
resp.crawler.creation_time #=> Time
resp.crawler.last_updated #=> Time
resp.crawler.last_crawl.status #=> String, one of "SUCCEEDED", "CANCELLED", "FAILED"
resp.crawler.last_crawl.error_message #=> String
resp.crawler.last_crawl.log_group #=> String
resp.crawler.last_crawl.log_stream #=> String
resp.crawler.last_crawl.message_prefix #=> String
resp.crawler.last_crawl.start_time #=> Time
resp.crawler.version #=> Integer
resp.crawler.configuration #=> String
resp.crawler.crawler_security_configuration #=> String
resp.crawler.lake_formation_configuration.use_lake_formation_credentials #=> Boolean
resp.crawler.lake_formation_configuration.account_id #=> String

Parameters:

• params (Hash) (defaults to: {}) —

  ({})

Options Hash (params):

• :name (required, String) —

  The name of the crawler to retrieve metadata for.

Returns:

• (Types::GetCrawlerResponse) —

  Returns a response object which responds to the following methods:

  • #crawler => Types::Crawler

See Also:

• AWS API Documentation

# File 'lib/aws-sdk-glue/client.rb', line 6717

def get_crawler(params = {}, options = {})
  req = build_request(:get_crawler, params)
  req.send_request(options)
end

#get_crawler_metrics(params = {}) ⇒ Types::GetCrawlerMetricsResponse

Retrieves metrics about specified crawlers.

The returned response is a pageable response and is Enumerable. For details on usage see PageableResponse.

Examples:

Request syntax with placeholder values

resp = client.get_crawler_metrics({
  crawler_name_list: ["NameString"],
  max_results: 1,
  next_token: "Token",
})

Response structure

resp.crawler_metrics_list #=> Array
resp.crawler_metrics_list[0].crawler_name #=> String
resp.crawler_metrics_list[0].time_left_seconds #=> Float
resp.crawler_metrics_list[0].still_estimating #=> Boolean
resp.crawler_metrics_list[0].last_runtime_seconds #=> Float
resp.crawler_metrics_list[0].median_runtime_seconds #=> Float
resp.crawler_metrics_list[0].tables_created #=> Integer
resp.crawler_metrics_list[0].tables_updated #=> Integer
resp.crawler_metrics_list[0].tables_deleted #=> Integer
resp.next_token #=> String

Parameters:

• params (Hash) (defaults to: {}) —

  ({})

Options Hash (params):

• :crawler_name_list (Array<String>) —

  A list of the names of crawlers about which to retrieve metrics.

• :max_results (Integer) —

  The maximum size of a list to return.

• :next_token (String) —

  A continuation token, if this is a continuation call.

Returns:

• (Types::GetCrawlerMetricsResponse) —

  Returns a response object which responds to the following methods:

  • #crawler_metrics_list => Array&lt;Types::CrawlerMetrics&gt;

  • #next_token => String

See Also:

• AWS API Documentation

# File 'lib/aws-sdk-glue/client.rb', line 6765

def get_crawler_metrics(params = {}, options = {})
  req = build_request(:get_crawler_metrics, params)
  req.send_request(options)
end

#get_crawlers(params = {}) ⇒ Types::GetCrawlersResponse

Retrieves metadata for all crawlers defined in the customer account.

The returned response is a pageable response and is Enumerable. For details on usage see PageableResponse.

Examples:

Request syntax with placeholder values

resp = client.get_crawlers({
  max_results: 1,
  next_token: "Token",
})

Response structure

resp.crawlers #=> Array
resp.crawlers[0].name #=> String
resp.crawlers[0].role #=> String
resp.crawlers[0].targets.s3_targets #=> Array
resp.crawlers[0].targets.s3_targets[0].path #=> String
resp.crawlers[0].targets.s3_targets[0].exclusions #=> Array
resp.crawlers[0].targets.s3_targets[0].exclusions[0] #=> String
resp.crawlers[0].targets.s3_targets[0].connection_name #=> String
resp.crawlers[0].targets.s3_targets[0].sample_size #=> Integer
resp.crawlers[0].targets.s3_targets[0].event_queue_arn #=> String
resp.crawlers[0].targets.s3_targets[0].dlq_event_queue_arn #=> String
resp.crawlers[0].targets.jdbc_targets #=> Array
resp.crawlers[0].targets.jdbc_targets[0].connection_name #=> String
resp.crawlers[0].targets.jdbc_targets[0].path #=> String
resp.crawlers[0].targets.jdbc_targets[0].exclusions #=> Array
resp.crawlers[0].targets.jdbc_targets[0].exclusions[0] #=> String
resp.crawlers[0].targets.jdbc_targets[0].enable_additional_metadata #=> Array
resp.crawlers[0].targets.jdbc_targets[0].enable_additional_metadata[0] #=> String, one of "COMMENTS", "RAWTYPES"
resp.crawlers[0].targets.mongo_db_targets #=> Array
resp.crawlers[0].targets.mongo_db_targets[0].connection_name #=> String
resp.crawlers[0].targets.mongo_db_targets[0].path #=> String
resp.crawlers[0].targets.mongo_db_targets[0].scan_all #=> Boolean
resp.crawlers[0].targets.dynamo_db_targets #=> Array
resp.crawlers[0].targets.dynamo_db_targets[0].path #=> String
resp.crawlers[0].targets.dynamo_db_targets[0].scan_all #=> Boolean
resp.crawlers[0].targets.dynamo_db_targets[0].scan_rate #=> Float
resp.crawlers[0].targets.catalog_targets #=> Array
resp.crawlers[0].targets.catalog_targets[0].database_name #=> String
resp.crawlers[0].targets.catalog_targets[0].tables #=> Array
resp.crawlers[0].targets.catalog_targets[0].tables[0] #=> String
resp.crawlers[0].targets.catalog_targets[0].connection_name #=> String
resp.crawlers[0].targets.catalog_targets[0].event_queue_arn #=> String
resp.crawlers[0].targets.catalog_targets[0].dlq_event_queue_arn #=> String
resp.crawlers[0].targets.delta_targets #=> Array
resp.crawlers[0].targets.delta_targets[0].delta_tables #=> Array
resp.crawlers[0].targets.delta_targets[0].delta_tables[0] #=> String
resp.crawlers[0].targets.delta_targets[0].connection_name #=> String
resp.crawlers[0].targets.delta_targets[0].write_manifest #=> Boolean
resp.crawlers[0].targets.delta_targets[0].create_native_delta_table #=> Boolean
resp.crawlers[0].targets.iceberg_targets #=> Array
resp.crawlers[0].targets.iceberg_targets[0].paths #=> Array
resp.crawlers[0].targets.iceberg_targets[0].paths[0] #=> String
resp.crawlers[0].targets.iceberg_targets[0].connection_name #=> String
resp.crawlers[0].targets.iceberg_targets[0].exclusions #=> Array
resp.crawlers[0].targets.iceberg_targets[0].exclusions[0] #=> String
resp.crawlers[0].targets.iceberg_targets[0].maximum_traversal_depth #=> Integer
resp.crawlers[0].targets.hudi_targets #=> Array
resp.crawlers[0].targets.hudi_targets[0].paths #=> Array
resp.crawlers[0].targets.hudi_targets[0].paths[0] #=> String
resp.crawlers[0].targets.hudi_targets[0].connection_name #=> String
resp.crawlers[0].targets.hudi_targets[0].exclusions #=> Array
resp.crawlers[0].targets.hudi_targets[0].exclusions[0] #=> String
resp.crawlers[0].targets.hudi_targets[0].maximum_traversal_depth #=> Integer
resp.crawlers[0].database_name #=> String
resp.crawlers[0].description #=> String
resp.crawlers[0].classifiers #=> Array
resp.crawlers[0].classifiers[0] #=> String
resp.crawlers[0].recrawl_policy.recrawl_behavior #=> String, one of "CRAWL_EVERYTHING", "CRAWL_NEW_FOLDERS_ONLY", "CRAWL_EVENT_MODE"
resp.crawlers[0].schema_change_policy.update_behavior #=> String, one of "LOG", "UPDATE_IN_DATABASE"
resp.crawlers[0].schema_change_policy.delete_behavior #=> String, one of "LOG", "DELETE_FROM_DATABASE", "DEPRECATE_IN_DATABASE"
resp.crawlers[0].lineage_configuration.crawler_lineage_settings #=> String, one of "ENABLE", "DISABLE"
resp.crawlers[0].state #=> String, one of "READY", "RUNNING", "STOPPING"
resp.crawlers[0].table_prefix #=> String
resp.crawlers[0].schedule.schedule_expression #=> String
resp.crawlers[0].schedule.state #=> String, one of "SCHEDULED", "NOT_SCHEDULED", "TRANSITIONING"
resp.crawlers[0].crawl_elapsed_time #=> Integer
resp.crawlers[0].creation_time #=> Time
resp.crawlers[0].last_updated #=> Time
resp.crawlers[0].last_crawl.status #=> String, one of "SUCCEEDED", "CANCELLED", "FAILED"
resp.crawlers[0].last_crawl.error_message #=> String
resp.crawlers[0].last_crawl.log_group #=> String
resp.crawlers[0].last_crawl.log_stream #=> String
resp.crawlers[0].last_crawl.message_prefix #=> String
resp.crawlers[0].last_crawl.start_time #=> Time
resp.crawlers[0].version #=> Integer
resp.crawlers[0].configuration #=> String
resp.crawlers[0].crawler_security_configuration #=> String
resp.crawlers[0].lake_formation_configuration.use_lake_formation_credentials #=> Boolean
resp.crawlers[0].lake_formation_configuration.account_id #=> String
resp.next_token #=> String

Parameters:

• params (Hash) (defaults to: {}) —

  ({})

Options Hash (params):

• :max_results (Integer) —

  The number of crawlers to return on each call.

• :next_token (String) —

  A continuation token, if this is a continuation request.

Returns:

• (Types::GetCrawlersResponse) —

  Returns a response object which responds to the following methods:

  • #crawlers => Array&lt;Types::Crawler&gt;

  • #next_token => String

See Also:

• AWS API Documentation

# File 'lib/aws-sdk-glue/client.rb', line 6879

def get_crawlers(params = {}, options = {})
  req = build_request(:get_crawlers, params)
  req.send_request(options)
end

#get_custom_entity_type(params = {}) ⇒ Types::GetCustomEntityTypeResponse

Retrieves the details of a custom pattern by specifying its name.

Examples:

Request syntax with placeholder values

resp = client.get_custom_entity_type({
  name: "NameString", # required
})

Response structure

resp.name #=> String
resp.regex_string #=> String
resp.context_words #=> Array
resp.context_words[0] #=> String

Parameters:

• params (Hash) (defaults to: {}) —

  ({})

Options Hash (params):

• :name (required, String) —

  The name of the custom pattern that you want to retrieve.

Returns:

• (Types::GetCustomEntityTypeResponse) —

  Returns a response object which responds to the following methods:

  • #name => String

  • #regex_string => String

  • #context_words => Array&lt;String&gt;

See Also:

• AWS API Documentation

# File 'lib/aws-sdk-glue/client.rb', line 6912

def get_custom_entity_type(params = {}, options = {})
  req = build_request(:get_custom_entity_type, params)
  req.send_request(options)
end

#get_data_catalog_encryption_settings(params = {}) ⇒ Types::GetDataCatalogEncryptionSettingsResponse

Retrieves the security configuration for a specified catalog.

Examples:

Request syntax with placeholder values

resp = client.get_data_catalog_encryption_settings({
  catalog_id: "CatalogIdString",
})

Response structure

resp.data_catalog_encryption_settings.encryption_at_rest.catalog_encryption_mode #=> String, one of "DISABLED", "SSE-KMS", "SSE-KMS-WITH-SERVICE-ROLE"
resp.data_catalog_encryption_settings.encryption_at_rest.sse_aws_kms_key_id #=> String
resp.data_catalog_encryption_settings.encryption_at_rest.catalog_encryption_service_role #=> String
resp.data_catalog_encryption_settings.connection_password_encryption.return_connection_password_encrypted #=> Boolean
resp.data_catalog_encryption_settings.connection_password_encryption.aws_kms_key_id #=> String

Parameters:

• params (Hash) (defaults to: {}) —

  ({})

Options Hash (params):

• :catalog_id (String) —

  The ID of the Data Catalog to retrieve the security configuration for. If none is provided, the Amazon Web Services account ID is used by default.

Returns:

• (Types::GetDataCatalogEncryptionSettingsResponse) —

  Returns a response object which responds to the following methods:

  • #data_catalog_encryption_settings => Types::DataCatalogEncryptionSettings

See Also:

• AWS API Documentation

# File 'lib/aws-sdk-glue/client.rb', line 6946

def get_data_catalog_encryption_settings(params = {}, options = {})
  req = build_request(:get_data_catalog_encryption_settings, params)
  req.send_request(options)
end

#get_data_quality_result(params = {}) ⇒ Types::GetDataQualityResultResponse

Retrieves the result of a data quality rule evaluation.

Examples:

Request syntax with placeholder values

resp = client.get_data_quality_result({
  result_id: "HashString", # required
})

Response structure

resp.result_id #=> String
resp.score #=> Float
resp.data_source.glue_table.database_name #=> String
resp.data_source.glue_table.table_name #=> String
resp.data_source.glue_table.catalog_id #=> String
resp.data_source.glue_table.connection_name #=> String
resp.data_source.glue_table.additional_options #=> Hash
resp.data_source.glue_table.additional_options["NameString"] #=> String
resp.ruleset_name #=> String
resp.evaluation_context #=> String
resp.started_on #=> Time
resp.completed_on #=> Time
resp.job_name #=> String
resp.job_run_id #=> String
resp.ruleset_evaluation_run_id #=> String
resp.rule_results #=> Array
resp.rule_results[0].name #=> String
resp.rule_results[0].description #=> String
resp.rule_results[0].evaluation_message #=> String
resp.rule_results[0].result #=> String, one of "PASS", "FAIL", "ERROR"
resp.rule_results[0].evaluated_metrics #=> Hash
resp.rule_results[0].evaluated_metrics["NameString"] #=> Float
resp.analyzer_results #=> Array
resp.analyzer_results[0].name #=> String
resp.analyzer_results[0].description #=> String
resp.analyzer_results[0].evaluation_message #=> String
resp.analyzer_results[0].evaluated_metrics #=> Hash
resp.analyzer_results[0].evaluated_metrics["NameString"] #=> Float
resp.observations #=> Array
resp.observations[0].description #=> String
resp.observations[0].metric_based_observation.metric_name #=> String
resp.observations[0].metric_based_observation.metric_values.actual_value #=> Float
resp.observations[0].metric_based_observation.metric_values.expected_value #=> Float
resp.observations[0].metric_based_observation.metric_values.lower_limit #=> Float
resp.observations[0].metric_based_observation.metric_values.upper_limit #=> Float
resp.observations[0].metric_based_observation.new_rules #=> Array
resp.observations[0].metric_based_observation.new_rules[0] #=> String

Parameters:

• params (Hash) (defaults to: {}) —

  ({})

Options Hash (params):

• :result_id (required, String) —

  A unique result ID for the data quality result.

Returns:

• (Types::GetDataQualityResultResponse) —

  Returns a response object which responds to the following methods:

  • #result_id => String

  • #score => Float

  • #data_source => Types::DataSource

  • #ruleset_name => String

  • #evaluation_context => String

  • #started_on => Time

  • #completed_on => Time

  • #job_name => String

  • #job_run_id => String

  • #ruleset_evaluation_run_id => String

  • #rule_results => Array&lt;Types::DataQualityRuleResult&gt;

  • #analyzer_results => Array&lt;Types::DataQualityAnalyzerResult&gt;

  • #observations => Array&lt;Types::DataQualityObservation&gt;

See Also:

• AWS API Documentation

# File 'lib/aws-sdk-glue/client.rb', line 7022

def get_data_quality_result(params = {}, options = {})
  req = build_request(:get_data_quality_result, params)
  req.send_request(options)
end

#get_data_quality_rule_recommendation_run(params = {}) ⇒ Types::GetDataQualityRuleRecommendationRunResponse

Gets the specified recommendation run that was used to generate rules.

Examples:

Request syntax with placeholder values

resp = client.get_data_quality_rule_recommendation_run({
  run_id: "HashString", # required
})

Response structure

resp.run_id #=> String
resp.data_source.glue_table.database_name #=> String
resp.data_source.glue_table.table_name #=> String
resp.data_source.glue_table.catalog_id #=> String
resp.data_source.glue_table.connection_name #=> String
resp.data_source.glue_table.additional_options #=> Hash
resp.data_source.glue_table.additional_options["NameString"] #=> String
resp.role #=> String
resp.number_of_workers #=> Integer
resp.timeout #=> Integer
resp.status #=> String, one of "STARTING", "RUNNING", "STOPPING", "STOPPED", "SUCCEEDED", "FAILED", "TIMEOUT"
resp.error_string #=> String
resp.started_on #=> Time
resp.last_modified_on #=> Time
resp.completed_on #=> Time
resp.execution_time #=> Integer
resp.recommended_ruleset #=> String
resp.created_ruleset_name #=> String

Parameters:

• params (Hash) (defaults to: {}) —

  ({})

Options Hash (params):

• :run_id (required, String) —

  The unique run identifier associated with this run.

Returns:

• (Types::GetDataQualityRuleRecommendationRunResponse) —

  Returns a response object which responds to the following methods:

  • #run_id => String

  • #data_source => Types::DataSource

  • #role => String

  • #number_of_workers => Integer

  • #timeout => Integer

  • #status => String

  • #error_string => String

  • #started_on => Time

  • #last_modified_on => Time

  • #completed_on => Time

  • #execution_time => Integer

  • #recommended_ruleset => String

  • #created_ruleset_name => String

See Also:

• AWS API Documentation

# File 'lib/aws-sdk-glue/client.rb', line 7079

def get_data_quality_rule_recommendation_run(params = {}, options = {})
  req = build_request(:get_data_quality_rule_recommendation_run, params)
  req.send_request(options)
end

#get_data_quality_ruleset(params = {}) ⇒ Types::GetDataQualityRulesetResponse

Returns an existing ruleset by identifier or name.

Examples:

Request syntax with placeholder values

resp = client.get_data_quality_ruleset({
  name: "NameString", # required
})

Response structure

resp.name #=> String
resp.description #=> String
resp.ruleset #=> String
resp.target_table.table_name #=> String
resp.target_table.database_name #=> String
resp.target_table.catalog_id #=> String
resp.created_on #=> Time
resp.last_modified_on #=> Time
resp.recommendation_run_id #=> String

Parameters:

• params (Hash) (defaults to: {}) —

  ({})

Options Hash (params):

• :name (required, String) —

  The name of the ruleset.

Returns:

• (Types::GetDataQualityRulesetResponse) —

  Returns a response object which responds to the following methods:

  • #name => String

  • #description => String

  • #ruleset => String

  • #target_table => Types::DataQualityTargetTable

  • #created_on => Time

  • #last_modified_on => Time

  • #recommendation_run_id => String

See Also:

• AWS API Documentation

# File 'lib/aws-sdk-glue/client.rb', line 7121

def get_data_quality_ruleset(params = {}, options = {})
  req = build_request(:get_data_quality_ruleset, params)
  req.send_request(options)
end

#get_data_quality_ruleset_evaluation_run(params = {}) ⇒ Types::GetDataQualityRulesetEvaluationRunResponse

Retrieves a specific run where a ruleset is evaluated against a data source.

Examples:

Request syntax with placeholder values

resp = client.get_data_quality_ruleset_evaluation_run({
  run_id: "HashString", # required
})

Response structure

resp.run_id #=> String
resp.data_source.glue_table.database_name #=> String
resp.data_source.glue_table.table_name #=> String
resp.data_source.glue_table.catalog_id #=> String
resp.data_source.glue_table.connection_name #=> String
resp.data_source.glue_table.additional_options #=> Hash
resp.data_source.glue_table.additional_options["NameString"] #=> String
resp.role #=> String
resp.number_of_workers #=> Integer
resp.timeout #=> Integer
resp.additional_run_options.cloud_watch_metrics_enabled #=> Boolean
resp.additional_run_options.results_s3_prefix #=> String
resp.additional_run_options.composite_rule_evaluation_method #=> String, one of "COLUMN", "ROW"
resp.status #=> String, one of "STARTING", "RUNNING", "STOPPING", "STOPPED", "SUCCEEDED", "FAILED", "TIMEOUT"
resp.error_string #=> String
resp.started_on #=> Time
resp.last_modified_on #=> Time
resp.completed_on #=> Time
resp.execution_time #=> Integer
resp.ruleset_names #=> Array
resp.ruleset_names[0] #=> String
resp.result_ids #=> Array
resp.result_ids[0] #=> String
resp.additional_data_sources #=> Hash
resp.additional_data_sources["NameString"].glue_table.database_name #=> String
resp.additional_data_sources["NameString"].glue_table.table_name #=> String
resp.additional_data_sources["NameString"].glue_table.catalog_id #=> String
resp.additional_data_sources["NameString"].glue_table.connection_name #=> String
resp.additional_data_sources["NameString"].glue_table.additional_options #=> Hash
resp.additional_data_sources["NameString"].glue_table.additional_options["NameString"] #=> String

Parameters:

• params (Hash) (defaults to: {}) —

  ({})

Options Hash (params):

• :run_id (required, String) —

  The unique run identifier associated with this run.

Returns:

• (Types::GetDataQualityRulesetEvaluationRunResponse) —

  Returns a response object which responds to the following methods:

  • #run_id => String

  • #data_source => Types::DataSource

  • #role => String

  • #number_of_workers => Integer

  • #timeout => Integer

  • #additional_run_options => Types::DataQualityEvaluationRunAdditionalRunOptions

  • #status => String

  • #error_string => String

  • #started_on => Time

  • #last_modified_on => Time

  • #completed_on => Time

  • #execution_time => Integer

  • #ruleset_names => Array&lt;String&gt;

  • #result_ids => Array&lt;String&gt;

  • #additional_data_sources => Hash&lt;String,Types::DataSource&gt;

See Also:

• AWS API Documentation

# File 'lib/aws-sdk-glue/client.rb', line 7193

def get_data_quality_ruleset_evaluation_run(params = {}, options = {})
  req = build_request(:get_data_quality_ruleset_evaluation_run, params)
  req.send_request(options)
end

#get_database(params = {}) ⇒ Types::GetDatabaseResponse

Retrieves the definition of a specified database.

Examples:

Request syntax with placeholder values

resp = client.get_database({
  catalog_id: "CatalogIdString",
  name: "NameString", # required
})

Response structure

resp.database.name #=> String
resp.database.description #=> String
resp.database.location_uri #=> String
resp.database.parameters #=> Hash
resp.database.parameters["KeyString"] #=> String
resp.database.create_time #=> Time
resp.database.create_table_default_permissions #=> Array
resp.database.create_table_default_permissions[0].principal.data_lake_principal_identifier #=> String
resp.database.create_table_default_permissions[0].permissions #=> Array
resp.database.create_table_default_permissions[0].permissions[0] #=> String, one of "ALL", "SELECT", "ALTER", "DROP", "DELETE", "INSERT", "CREATE_DATABASE", "CREATE_TABLE", "DATA_LOCATION_ACCESS"
resp.database.target_database.catalog_id #=> String
resp.database.target_database.database_name #=> String
resp.database.target_database.region #=> String
resp.database.catalog_id #=> String
resp.database.federated_database.identifier #=> String
resp.database.federated_database.connection_name #=> String

Parameters:

• params (Hash) (defaults to: {}) —

  ({})

Options Hash (params):

• :catalog_id (String) —

  The ID of the Data Catalog in which the database resides. If none is provided, the Amazon Web Services account ID is used by default.

• :name (required, String) —

  The name of the database to retrieve. For Hive compatibility, this should be all lowercase.

Returns:

• (Types::GetDatabaseResponse) —

  Returns a response object which responds to the following methods:

  • #database => Types::Database

See Also:

• AWS API Documentation

# File 'lib/aws-sdk-glue/client.rb', line 7242

def get_database(params = {}, options = {})
  req = build_request(:get_database, params)
  req.send_request(options)
end

#get_databases(params = {}) ⇒ Types::GetDatabasesResponse

Retrieves all databases defined in a given Data Catalog.

The returned response is a pageable response and is Enumerable. For details on usage see PageableResponse.

Examples:

Request syntax with placeholder values

resp = client.get_databases({
  catalog_id: "CatalogIdString",
  next_token: "Token",
  max_results: 1,
  resource_share_type: "FOREIGN", # accepts FOREIGN, ALL, FEDERATED
})

Response structure

resp.database_list #=> Array
resp.database_list[0].name #=> String
resp.database_list[0].description #=> String
resp.database_list[0].location_uri #=> String
resp.database_list[0].parameters #=> Hash
resp.database_list[0].parameters["KeyString"] #=> String
resp.database_list[0].create_time #=> Time
resp.database_list[0].create_table_default_permissions #=> Array
resp.database_list[0].create_table_default_permissions[0].principal.data_lake_principal_identifier #=> String
resp.database_list[0].create_table_default_permissions[0].permissions #=> Array
resp.database_list[0].create_table_default_permissions[0].permissions[0] #=> String, one of "ALL", "SELECT", "ALTER", "DROP", "DELETE", "INSERT", "CREATE_DATABASE", "CREATE_TABLE", "DATA_LOCATION_ACCESS"
resp.database_list[0].target_database.catalog_id #=> String
resp.database_list[0].target_database.database_name #=> String
resp.database_list[0].target_database.region #=> String
resp.database_list[0].catalog_id #=> String
resp.database_list[0].federated_database.identifier #=> String
resp.database_list[0].federated_database.connection_name #=> String
resp.next_token #=> String

Parameters:

• params (Hash) (defaults to: {}) —

  ({})

Options Hash (params):

• :catalog_id (String) —

  The ID of the Data Catalog from which to retrieve ‘Databases`. If none is provided, the Amazon Web Services account ID is used by default.

• :next_token (String) —

  A continuation token, if this is a continuation call.

• :max_results (Integer) —

  The maximum number of databases to return in one response.

• :resource_share_type (String) —

  Allows you to specify that you want to list the databases shared with your account. The allowable values are ‘FEDERATED`, `FOREIGN` or `ALL`.

  • If set to ‘FEDERATED`, will list the federated databases (referencing an external entity) shared with your account.

  • If set to ‘FOREIGN`, will list the databases shared with your account.

  • If set to ‘ALL`, will list the databases shared with your account, as well as the databases in yor local account.

Returns:

• (Types::GetDatabasesResponse) —

  Returns a response object which responds to the following methods:

  • #database_list => Array&lt;Types::Database&gt;

  • #next_token => String

See Also:

• AWS API Documentation

# File 'lib/aws-sdk-glue/client.rb', line 7314

def get_databases(params = {}, options = {})
  req = build_request(:get_databases, params)
  req.send_request(options)
end

#get_dataflow_graph(params = {}) ⇒ Types::GetDataflowGraphResponse

Transforms a Python script into a directed acyclic graph (DAG).

Examples:

Request syntax with placeholder values

resp = client.get_dataflow_graph({
  python_script: "PythonScript",
})

Response structure

resp.dag_nodes #=> Array
resp.dag_nodes[0].id #=> String
resp.dag_nodes[0].node_type #=> String
resp.dag_nodes[0].args #=> Array
resp.dag_nodes[0].args[0].name #=> String
resp.dag_nodes[0].args[0].value #=> String
resp.dag_nodes[0].args[0].param #=> Boolean
resp.dag_nodes[0].line_number #=> Integer
resp.dag_edges #=> Array
resp.dag_edges[0].source #=> String
resp.dag_edges[0].target #=> String
resp.dag_edges[0].target_parameter #=> String

Parameters:

• params (Hash) (defaults to: {}) —

  ({})

Options Hash (params):

• :python_script (String) —

  The Python script to transform.

Returns:

• (Types::GetDataflowGraphResponse) —

  Returns a response object which responds to the following methods:

  • #dag_nodes => Array&lt;Types::CodeGenNode&gt;

  • #dag_edges => Array&lt;Types::CodeGenEdge&gt;

See Also:

• AWS API Documentation

# File 'lib/aws-sdk-glue/client.rb', line 7354

def get_dataflow_graph(params = {}, options = {})
  req = build_request(:get_dataflow_graph, params)
  req.send_request(options)
end

#get_dev_endpoint(params = {}) ⇒ Types::GetDevEndpointResponse

Retrieves information about a specified development endpoint.

<note markdown=“1”> When you create a development endpoint in a virtual private cloud (VPC), Glue returns only a private IP address, and the public IP address field is not populated. When you create a non-VPC development endpoint, Glue returns only a public IP address.

</note>

Examples:

Request syntax with placeholder values

resp = client.get_dev_endpoint({
  endpoint_name: "GenericString", # required
})

Response structure

resp.dev_endpoint.endpoint_name #=> String
resp.dev_endpoint.role_arn #=> String
resp.dev_endpoint.security_group_ids #=> Array
resp.dev_endpoint.security_group_ids[0] #=> String
resp.dev_endpoint.subnet_id #=> String
resp.dev_endpoint.yarn_endpoint_address #=> String
resp.dev_endpoint.private_address #=> String
resp.dev_endpoint.zeppelin_remote_spark_interpreter_port #=> Integer
resp.dev_endpoint.public_address #=> String
resp.dev_endpoint.status #=> String
resp.dev_endpoint.worker_type #=> String, one of "Standard", "G.1X", "G.2X", "G.025X", "G.4X", "G.8X", "Z.2X"
resp.dev_endpoint.glue_version #=> String
resp.dev_endpoint.number_of_workers #=> Integer
resp.dev_endpoint.number_of_nodes #=> Integer
resp.dev_endpoint.availability_zone #=> String
resp.dev_endpoint.vpc_id #=> String
resp.dev_endpoint.extra_python_libs_s3_path #=> String
resp.dev_endpoint.extra_jars_s3_path #=> String
resp.dev_endpoint.failure_reason #=> String
resp.dev_endpoint.last_update_status #=> String
resp.dev_endpoint.created_timestamp #=> Time
resp.dev_endpoint.last_modified_timestamp #=> Time
resp.dev_endpoint.public_key #=> String
resp.dev_endpoint.public_keys #=> Array
resp.dev_endpoint.public_keys[0] #=> String
resp.dev_endpoint.security_configuration #=> String
resp.dev_endpoint.arguments #=> Hash
resp.dev_endpoint.arguments["GenericString"] #=> String

Parameters:

• params (Hash) (defaults to: {}) —

  ({})

Options Hash (params):

• :endpoint_name (required, String) —

  Name of the ‘DevEndpoint` to retrieve information for.

Returns:

• (Types::GetDevEndpointResponse) —

  Returns a response object which responds to the following methods:

  • #dev_endpoint => Types::DevEndpoint

See Also:

• AWS API Documentation

# File 'lib/aws-sdk-glue/client.rb', line 7416

def get_dev_endpoint(params = {}, options = {})
  req = build_request(:get_dev_endpoint, params)
  req.send_request(options)
end

#get_dev_endpoints(params = {}) ⇒ Types::GetDevEndpointsResponse

Retrieves all the development endpoints in this Amazon Web Services account.

<note markdown=“1”> When you create a development endpoint in a virtual private cloud (VPC), Glue returns only a private IP address and the public IP address field is not populated. When you create a non-VPC development endpoint, Glue returns only a public IP address.

</note>

The returned response is a pageable response and is Enumerable. For details on usage see PageableResponse.

Examples:

Request syntax with placeholder values

resp = client.get_dev_endpoints({
  max_results: 1,
  next_token: "GenericString",
})

Response structure

resp.dev_endpoints #=> Array
resp.dev_endpoints[0].endpoint_name #=> String
resp.dev_endpoints[0].role_arn #=> String
resp.dev_endpoints[0].security_group_ids #=> Array
resp.dev_endpoints[0].security_group_ids[0] #=> String
resp.dev_endpoints[0].subnet_id #=> String
resp.dev_endpoints[0].yarn_endpoint_address #=> String
resp.dev_endpoints[0].private_address #=> String
resp.dev_endpoints[0].zeppelin_remote_spark_interpreter_port #=> Integer
resp.dev_endpoints[0].public_address #=> String
resp.dev_endpoints[0].status #=> String
resp.dev_endpoints[0].worker_type #=> String, one of "Standard", "G.1X", "G.2X", "G.025X", "G.4X", "G.8X", "Z.2X"
resp.dev_endpoints[0].glue_version #=> String
resp.dev_endpoints[0].number_of_workers #=> Integer
resp.dev_endpoints[0].number_of_nodes #=> Integer
resp.dev_endpoints[0].availability_zone #=> String
resp.dev_endpoints[0].vpc_id #=> String
resp.dev_endpoints[0].extra_python_libs_s3_path #=> String
resp.dev_endpoints[0].extra_jars_s3_path #=> String
resp.dev_endpoints[0].failure_reason #=> String
resp.dev_endpoints[0].last_update_status #=> String
resp.dev_endpoints[0].created_timestamp #=> Time
resp.dev_endpoints[0].last_modified_timestamp #=> Time
resp.dev_endpoints[0].public_key #=> String
resp.dev_endpoints[0].public_keys #=> Array
resp.dev_endpoints[0].public_keys[0] #=> String
resp.dev_endpoints[0].security_configuration #=> String
resp.dev_endpoints[0].arguments #=> Hash
resp.dev_endpoints[0].arguments["GenericString"] #=> String
resp.next_token #=> String

Parameters:

• params (Hash) (defaults to: {}) —

  ({})

Options Hash (params):

• :max_results (Integer) —

  The maximum size of information to return.

• :next_token (String) —

  A continuation token, if this is a continuation call.

Returns:

• (Types::GetDevEndpointsResponse) —

  Returns a response object which responds to the following methods:

  • #dev_endpoints => Array&lt;Types::DevEndpoint&gt;

  • #next_token => String

See Also:

• AWS API Documentation

# File 'lib/aws-sdk-glue/client.rb', line 7488

def get_dev_endpoints(params = {}, options = {})
  req = build_request(:get_dev_endpoints, params)
  req.send_request(options)
end

#get_job(params = {}) ⇒ Types::GetJobResponse

Retrieves an existing job definition.

Examples:

Request syntax with placeholder values

resp = client.get_job({
  job_name: "NameString", # required
})

Response structure

resp.job.name #=> String
resp.job.job_mode #=> String, one of "SCRIPT", "VISUAL", "NOTEBOOK"
resp.job.description #=> String
resp.job.log_uri #=> String
resp.job.role #=> String
resp.job.created_on #=> Time
resp.job.last_modified_on #=> Time
resp.job.execution_property.max_concurrent_runs #=> Integer
resp.job.command.name #=> String
resp.job.command.script_location #=> String
resp.job.command.python_version #=> String
resp.job.command.runtime #=> String
resp.job.default_arguments #=> Hash
resp.job.default_arguments["GenericString"] #=> String
resp.job.non_overridable_arguments #=> Hash
resp.job.non_overridable_arguments["GenericString"] #=> String
resp.job.connections.connections #=> Array
resp.job.connections.connections[0] #=> String
resp.job.max_retries #=> Integer
resp.job.allocated_capacity #=> Integer
resp.job.timeout #=> Integer
resp.job.max_capacity #=> Float
resp.job.worker_type #=> String, one of "Standard", "G.1X", "G.2X", "G.025X", "G.4X", "G.8X", "Z.2X"
resp.job.number_of_workers #=> Integer
resp.job.security_configuration #=> String
resp.job.notification_property.notify_delay_after #=> Integer
resp.job.glue_version #=> String
resp.job.code_gen_configuration_nodes #=> Hash
resp.job.code_gen_configuration_nodes["NodeId"].athena_connector_source.name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].athena_connector_source.connection_name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].athena_connector_source.connector_name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].athena_connector_source.connection_type #=> String
resp.job.code_gen_configuration_nodes["NodeId"].athena_connector_source.connection_table #=> String
resp.job.code_gen_configuration_nodes["NodeId"].athena_connector_source.schema_name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].athena_connector_source.output_schemas #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].athena_connector_source.output_schemas[0].columns #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].athena_connector_source.output_schemas[0].columns[0].name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].athena_connector_source.output_schemas[0].columns[0].type #=> String
resp.job.code_gen_configuration_nodes["NodeId"].jdbc_connector_source.name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].jdbc_connector_source.connection_name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].jdbc_connector_source.connector_name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].jdbc_connector_source.connection_type #=> String
resp.job.code_gen_configuration_nodes["NodeId"].jdbc_connector_source.additional_options.filter_predicate #=> String
resp.job.code_gen_configuration_nodes["NodeId"].jdbc_connector_source.additional_options.partition_column #=> String
resp.job.code_gen_configuration_nodes["NodeId"].jdbc_connector_source.additional_options.lower_bound #=> Integer
resp.job.code_gen_configuration_nodes["NodeId"].jdbc_connector_source.additional_options.upper_bound #=> Integer
resp.job.code_gen_configuration_nodes["NodeId"].jdbc_connector_source.additional_options.num_partitions #=> Integer
resp.job.code_gen_configuration_nodes["NodeId"].jdbc_connector_source.additional_options.job_bookmark_keys #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].jdbc_connector_source.additional_options.job_bookmark_keys[0] #=> String
resp.job.code_gen_configuration_nodes["NodeId"].jdbc_connector_source.additional_options.job_bookmark_keys_sort_order #=> String
resp.job.code_gen_configuration_nodes["NodeId"].jdbc_connector_source.additional_options.data_type_mapping #=> Hash
resp.job.code_gen_configuration_nodes["NodeId"].jdbc_connector_source.additional_options.data_type_mapping["JDBCDataType"] #=> String, one of "DATE", "STRING", "TIMESTAMP", "INT", "FLOAT", "LONG", "BIGDECIMAL", "BYTE", "SHORT", "DOUBLE"
resp.job.code_gen_configuration_nodes["NodeId"].jdbc_connector_source.connection_table #=> String
resp.job.code_gen_configuration_nodes["NodeId"].jdbc_connector_source.query #=> String
resp.job.code_gen_configuration_nodes["NodeId"].jdbc_connector_source.output_schemas #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].jdbc_connector_source.output_schemas[0].columns #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].jdbc_connector_source.output_schemas[0].columns[0].name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].jdbc_connector_source.output_schemas[0].columns[0].type #=> String
resp.job.code_gen_configuration_nodes["NodeId"].spark_connector_source.name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].spark_connector_source.connection_name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].spark_connector_source.connector_name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].spark_connector_source.connection_type #=> String
resp.job.code_gen_configuration_nodes["NodeId"].spark_connector_source.additional_options #=> Hash
resp.job.code_gen_configuration_nodes["NodeId"].spark_connector_source.additional_options["EnclosedInStringProperty"] #=> String
resp.job.code_gen_configuration_nodes["NodeId"].spark_connector_source.output_schemas #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].spark_connector_source.output_schemas[0].columns #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].spark_connector_source.output_schemas[0].columns[0].name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].spark_connector_source.output_schemas[0].columns[0].type #=> String
resp.job.code_gen_configuration_nodes["NodeId"].catalog_source.name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].catalog_source.database #=> String
resp.job.code_gen_configuration_nodes["NodeId"].catalog_source.table #=> String
resp.job.code_gen_configuration_nodes["NodeId"].redshift_source.name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].redshift_source.database #=> String
resp.job.code_gen_configuration_nodes["NodeId"].redshift_source.table #=> String
resp.job.code_gen_configuration_nodes["NodeId"].redshift_source.redshift_tmp_dir #=> String
resp.job.code_gen_configuration_nodes["NodeId"].redshift_source.tmp_dir_iam_role #=> String
resp.job.code_gen_configuration_nodes["NodeId"].s3_catalog_source.name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].s3_catalog_source.database #=> String
resp.job.code_gen_configuration_nodes["NodeId"].s3_catalog_source.table #=> String
resp.job.code_gen_configuration_nodes["NodeId"].s3_catalog_source.partition_predicate #=> String
resp.job.code_gen_configuration_nodes["NodeId"].s3_catalog_source.additional_options.bounded_size #=> Integer
resp.job.code_gen_configuration_nodes["NodeId"].s3_catalog_source.additional_options.bounded_files #=> Integer
resp.job.code_gen_configuration_nodes["NodeId"].s3_csv_source.name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].s3_csv_source.paths #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].s3_csv_source.paths[0] #=> String
resp.job.code_gen_configuration_nodes["NodeId"].s3_csv_source.compression_type #=> String, one of "gzip", "bzip2"
resp.job.code_gen_configuration_nodes["NodeId"].s3_csv_source.exclusions #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].s3_csv_source.exclusions[0] #=> String
resp.job.code_gen_configuration_nodes["NodeId"].s3_csv_source.group_size #=> String
resp.job.code_gen_configuration_nodes["NodeId"].s3_csv_source.group_files #=> String
resp.job.code_gen_configuration_nodes["NodeId"].s3_csv_source.recurse #=> Boolean
resp.job.code_gen_configuration_nodes["NodeId"].s3_csv_source.max_band #=> Integer
resp.job.code_gen_configuration_nodes["NodeId"].s3_csv_source.max_files_in_band #=> Integer
resp.job.code_gen_configuration_nodes["NodeId"].s3_csv_source.additional_options.bounded_size #=> Integer
resp.job.code_gen_configuration_nodes["NodeId"].s3_csv_source.additional_options.bounded_files #=> Integer
resp.job.code_gen_configuration_nodes["NodeId"].s3_csv_source.additional_options.enable_sample_path #=> Boolean
resp.job.code_gen_configuration_nodes["NodeId"].s3_csv_source.additional_options.sample_path #=> String
resp.job.code_gen_configuration_nodes["NodeId"].s3_csv_source.separator #=> String, one of "comma", "ctrla", "pipe", "semicolon", "tab"
resp.job.code_gen_configuration_nodes["NodeId"].s3_csv_source.escaper #=> String
resp.job.code_gen_configuration_nodes["NodeId"].s3_csv_source.quote_char #=> String, one of "quote", "quillemet", "single_quote", "disabled"
resp.job.code_gen_configuration_nodes["NodeId"].s3_csv_source.multiline #=> Boolean
resp.job.code_gen_configuration_nodes["NodeId"].s3_csv_source.with_header #=> Boolean
resp.job.code_gen_configuration_nodes["NodeId"].s3_csv_source.write_header #=> Boolean
resp.job.code_gen_configuration_nodes["NodeId"].s3_csv_source.skip_first #=> Boolean
resp.job.code_gen_configuration_nodes["NodeId"].s3_csv_source.optimize_performance #=> Boolean
resp.job.code_gen_configuration_nodes["NodeId"].s3_csv_source.output_schemas #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].s3_csv_source.output_schemas[0].columns #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].s3_csv_source.output_schemas[0].columns[0].name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].s3_csv_source.output_schemas[0].columns[0].type #=> String
resp.job.code_gen_configuration_nodes["NodeId"].s3_json_source.name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].s3_json_source.paths #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].s3_json_source.paths[0] #=> String
resp.job.code_gen_configuration_nodes["NodeId"].s3_json_source.compression_type #=> String, one of "gzip", "bzip2"
resp.job.code_gen_configuration_nodes["NodeId"].s3_json_source.exclusions #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].s3_json_source.exclusions[0] #=> String
resp.job.code_gen_configuration_nodes["NodeId"].s3_json_source.group_size #=> String
resp.job.code_gen_configuration_nodes["NodeId"].s3_json_source.group_files #=> String
resp.job.code_gen_configuration_nodes["NodeId"].s3_json_source.recurse #=> Boolean
resp.job.code_gen_configuration_nodes["NodeId"].s3_json_source.max_band #=> Integer
resp.job.code_gen_configuration_nodes["NodeId"].s3_json_source.max_files_in_band #=> Integer
resp.job.code_gen_configuration_nodes["NodeId"].s3_json_source.additional_options.bounded_size #=> Integer
resp.job.code_gen_configuration_nodes["NodeId"].s3_json_source.additional_options.bounded_files #=> Integer
resp.job.code_gen_configuration_nodes["NodeId"].s3_json_source.additional_options.enable_sample_path #=> Boolean
resp.job.code_gen_configuration_nodes["NodeId"].s3_json_source.additional_options.sample_path #=> String
resp.job.code_gen_configuration_nodes["NodeId"].s3_json_source.json_path #=> String
resp.job.code_gen_configuration_nodes["NodeId"].s3_json_source.multiline #=> Boolean
resp.job.code_gen_configuration_nodes["NodeId"].s3_json_source.output_schemas #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].s3_json_source.output_schemas[0].columns #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].s3_json_source.output_schemas[0].columns[0].name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].s3_json_source.output_schemas[0].columns[0].type #=> String
resp.job.code_gen_configuration_nodes["NodeId"].s3_parquet_source.name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].s3_parquet_source.paths #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].s3_parquet_source.paths[0] #=> String
resp.job.code_gen_configuration_nodes["NodeId"].s3_parquet_source.compression_type #=> String, one of "snappy", "lzo", "gzip", "uncompressed", "none"
resp.job.code_gen_configuration_nodes["NodeId"].s3_parquet_source.exclusions #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].s3_parquet_source.exclusions[0] #=> String
resp.job.code_gen_configuration_nodes["NodeId"].s3_parquet_source.group_size #=> String
resp.job.code_gen_configuration_nodes["NodeId"].s3_parquet_source.group_files #=> String
resp.job.code_gen_configuration_nodes["NodeId"].s3_parquet_source.recurse #=> Boolean
resp.job.code_gen_configuration_nodes["NodeId"].s3_parquet_source.max_band #=> Integer
resp.job.code_gen_configuration_nodes["NodeId"].s3_parquet_source.max_files_in_band #=> Integer
resp.job.code_gen_configuration_nodes["NodeId"].s3_parquet_source.additional_options.bounded_size #=> Integer
resp.job.code_gen_configuration_nodes["NodeId"].s3_parquet_source.additional_options.bounded_files #=> Integer
resp.job.code_gen_configuration_nodes["NodeId"].s3_parquet_source.additional_options.enable_sample_path #=> Boolean
resp.job.code_gen_configuration_nodes["NodeId"].s3_parquet_source.additional_options.sample_path #=> String
resp.job.code_gen_configuration_nodes["NodeId"].s3_parquet_source.output_schemas #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].s3_parquet_source.output_schemas[0].columns #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].s3_parquet_source.output_schemas[0].columns[0].name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].s3_parquet_source.output_schemas[0].columns[0].type #=> String
resp.job.code_gen_configuration_nodes["NodeId"].relational_catalog_source.name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].relational_catalog_source.database #=> String
resp.job.code_gen_configuration_nodes["NodeId"].relational_catalog_source.table #=> String
resp.job.code_gen_configuration_nodes["NodeId"].dynamo_db_catalog_source.name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].dynamo_db_catalog_source.database #=> String
resp.job.code_gen_configuration_nodes["NodeId"].dynamo_db_catalog_source.table #=> String
resp.job.code_gen_configuration_nodes["NodeId"].jdbc_connector_target.name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].jdbc_connector_target.inputs #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].jdbc_connector_target.inputs[0] #=> String
resp.job.code_gen_configuration_nodes["NodeId"].jdbc_connector_target.connection_name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].jdbc_connector_target.connection_table #=> String
resp.job.code_gen_configuration_nodes["NodeId"].jdbc_connector_target.connector_name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].jdbc_connector_target.connection_type #=> String
resp.job.code_gen_configuration_nodes["NodeId"].jdbc_connector_target.additional_options #=> Hash
resp.job.code_gen_configuration_nodes["NodeId"].jdbc_connector_target.additional_options["EnclosedInStringProperty"] #=> String
resp.job.code_gen_configuration_nodes["NodeId"].jdbc_connector_target.output_schemas #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].jdbc_connector_target.output_schemas[0].columns #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].jdbc_connector_target.output_schemas[0].columns[0].name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].jdbc_connector_target.output_schemas[0].columns[0].type #=> String
resp.job.code_gen_configuration_nodes["NodeId"].spark_connector_target.name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].spark_connector_target.inputs #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].spark_connector_target.inputs[0] #=> String
resp.job.code_gen_configuration_nodes["NodeId"].spark_connector_target.connection_name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].spark_connector_target.connector_name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].spark_connector_target.connection_type #=> String
resp.job.code_gen_configuration_nodes["NodeId"].spark_connector_target.additional_options #=> Hash
resp.job.code_gen_configuration_nodes["NodeId"].spark_connector_target.additional_options["EnclosedInStringProperty"] #=> String
resp.job.code_gen_configuration_nodes["NodeId"].spark_connector_target.output_schemas #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].spark_connector_target.output_schemas[0].columns #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].spark_connector_target.output_schemas[0].columns[0].name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].spark_connector_target.output_schemas[0].columns[0].type #=> String
resp.job.code_gen_configuration_nodes["NodeId"].catalog_target.name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].catalog_target.inputs #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].catalog_target.inputs[0] #=> String
resp.job.code_gen_configuration_nodes["NodeId"].catalog_target.database #=> String
resp.job.code_gen_configuration_nodes["NodeId"].catalog_target.table #=> String
resp.job.code_gen_configuration_nodes["NodeId"].redshift_target.name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].redshift_target.inputs #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].redshift_target.inputs[0] #=> String
resp.job.code_gen_configuration_nodes["NodeId"].redshift_target.database #=> String
resp.job.code_gen_configuration_nodes["NodeId"].redshift_target.table #=> String
resp.job.code_gen_configuration_nodes["NodeId"].redshift_target.redshift_tmp_dir #=> String
resp.job.code_gen_configuration_nodes["NodeId"].redshift_target.tmp_dir_iam_role #=> String
resp.job.code_gen_configuration_nodes["NodeId"].redshift_target.upsert_redshift_options.table_location #=> String
resp.job.code_gen_configuration_nodes["NodeId"].redshift_target.upsert_redshift_options.connection_name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].redshift_target.upsert_redshift_options.upsert_keys #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].redshift_target.upsert_redshift_options.upsert_keys[0] #=> String
resp.job.code_gen_configuration_nodes["NodeId"].s3_catalog_target.name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].s3_catalog_target.inputs #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].s3_catalog_target.inputs[0] #=> String
resp.job.code_gen_configuration_nodes["NodeId"].s3_catalog_target.partition_keys #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].s3_catalog_target.partition_keys[0] #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].s3_catalog_target.partition_keys[0][0] #=> String
resp.job.code_gen_configuration_nodes["NodeId"].s3_catalog_target.table #=> String
resp.job.code_gen_configuration_nodes["NodeId"].s3_catalog_target.database #=> String
resp.job.code_gen_configuration_nodes["NodeId"].s3_catalog_target.schema_change_policy.enable_update_catalog #=> Boolean
resp.job.code_gen_configuration_nodes["NodeId"].s3_catalog_target.schema_change_policy.update_behavior #=> String, one of "UPDATE_IN_DATABASE", "LOG"
resp.job.code_gen_configuration_nodes["NodeId"].s3_glue_parquet_target.name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].s3_glue_parquet_target.inputs #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].s3_glue_parquet_target.inputs[0] #=> String
resp.job.code_gen_configuration_nodes["NodeId"].s3_glue_parquet_target.partition_keys #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].s3_glue_parquet_target.partition_keys[0] #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].s3_glue_parquet_target.partition_keys[0][0] #=> String
resp.job.code_gen_configuration_nodes["NodeId"].s3_glue_parquet_target.path #=> String
resp.job.code_gen_configuration_nodes["NodeId"].s3_glue_parquet_target.compression #=> String, one of "snappy", "lzo", "gzip", "uncompressed", "none"
resp.job.code_gen_configuration_nodes["NodeId"].s3_glue_parquet_target.schema_change_policy.enable_update_catalog #=> Boolean
resp.job.code_gen_configuration_nodes["NodeId"].s3_glue_parquet_target.schema_change_policy.update_behavior #=> String, one of "UPDATE_IN_DATABASE", "LOG"
resp.job.code_gen_configuration_nodes["NodeId"].s3_glue_parquet_target.schema_change_policy.table #=> String
resp.job.code_gen_configuration_nodes["NodeId"].s3_glue_parquet_target.schema_change_policy.database #=> String
resp.job.code_gen_configuration_nodes["NodeId"].s3_direct_target.name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].s3_direct_target.inputs #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].s3_direct_target.inputs[0] #=> String
resp.job.code_gen_configuration_nodes["NodeId"].s3_direct_target.partition_keys #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].s3_direct_target.partition_keys[0] #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].s3_direct_target.partition_keys[0][0] #=> String
resp.job.code_gen_configuration_nodes["NodeId"].s3_direct_target.path #=> String
resp.job.code_gen_configuration_nodes["NodeId"].s3_direct_target.compression #=> String
resp.job.code_gen_configuration_nodes["NodeId"].s3_direct_target.format #=> String, one of "json", "csv", "avro", "orc", "parquet", "hudi", "delta"
resp.job.code_gen_configuration_nodes["NodeId"].s3_direct_target.schema_change_policy.enable_update_catalog #=> Boolean
resp.job.code_gen_configuration_nodes["NodeId"].s3_direct_target.schema_change_policy.update_behavior #=> String, one of "UPDATE_IN_DATABASE", "LOG"
resp.job.code_gen_configuration_nodes["NodeId"].s3_direct_target.schema_change_policy.table #=> String
resp.job.code_gen_configuration_nodes["NodeId"].s3_direct_target.schema_change_policy.database #=> String
resp.job.code_gen_configuration_nodes["NodeId"].apply_mapping.name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].apply_mapping.inputs #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].apply_mapping.inputs[0] #=> String
resp.job.code_gen_configuration_nodes["NodeId"].apply_mapping.mapping #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].apply_mapping.mapping[0].to_key #=> String
resp.job.code_gen_configuration_nodes["NodeId"].apply_mapping.mapping[0].from_path #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].apply_mapping.mapping[0].from_path[0] #=> String
resp.job.code_gen_configuration_nodes["NodeId"].apply_mapping.mapping[0].from_type #=> String
resp.job.code_gen_configuration_nodes["NodeId"].apply_mapping.mapping[0].to_type #=> String
resp.job.code_gen_configuration_nodes["NodeId"].apply_mapping.mapping[0].dropped #=> Boolean
resp.job.code_gen_configuration_nodes["NodeId"].apply_mapping.mapping[0].children #=> Types::Mappings
resp.job.code_gen_configuration_nodes["NodeId"].select_fields.name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].select_fields.inputs #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].select_fields.inputs[0] #=> String
resp.job.code_gen_configuration_nodes["NodeId"].select_fields.paths #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].select_fields.paths[0] #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].select_fields.paths[0][0] #=> String
resp.job.code_gen_configuration_nodes["NodeId"].drop_fields.name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].drop_fields.inputs #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].drop_fields.inputs[0] #=> String
resp.job.code_gen_configuration_nodes["NodeId"].drop_fields.paths #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].drop_fields.paths[0] #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].drop_fields.paths[0][0] #=> String
resp.job.code_gen_configuration_nodes["NodeId"].rename_field.name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].rename_field.inputs #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].rename_field.inputs[0] #=> String
resp.job.code_gen_configuration_nodes["NodeId"].rename_field.source_path #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].rename_field.source_path[0] #=> String
resp.job.code_gen_configuration_nodes["NodeId"].rename_field.target_path #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].rename_field.target_path[0] #=> String
resp.job.code_gen_configuration_nodes["NodeId"].spigot.name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].spigot.inputs #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].spigot.inputs[0] #=> String
resp.job.code_gen_configuration_nodes["NodeId"].spigot.path #=> String
resp.job.code_gen_configuration_nodes["NodeId"].spigot.topk #=> Integer
resp.job.code_gen_configuration_nodes["NodeId"].spigot.prob #=> Float
resp.job.code_gen_configuration_nodes["NodeId"].join.name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].join.inputs #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].join.inputs[0] #=> String
resp.job.code_gen_configuration_nodes["NodeId"].join.join_type #=> String, one of "equijoin", "left", "right", "outer", "leftsemi", "leftanti"
resp.job.code_gen_configuration_nodes["NodeId"].join.columns #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].join.columns[0].from #=> String
resp.job.code_gen_configuration_nodes["NodeId"].join.columns[0].keys #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].join.columns[0].keys[0] #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].join.columns[0].keys[0][0] #=> String
resp.job.code_gen_configuration_nodes["NodeId"].split_fields.name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].split_fields.inputs #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].split_fields.inputs[0] #=> String
resp.job.code_gen_configuration_nodes["NodeId"].split_fields.paths #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].split_fields.paths[0] #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].split_fields.paths[0][0] #=> String
resp.job.code_gen_configuration_nodes["NodeId"].select_from_collection.name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].select_from_collection.inputs #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].select_from_collection.inputs[0] #=> String
resp.job.code_gen_configuration_nodes["NodeId"].select_from_collection.index #=> Integer
resp.job.code_gen_configuration_nodes["NodeId"].fill_missing_values.name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].fill_missing_values.inputs #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].fill_missing_values.inputs[0] #=> String
resp.job.code_gen_configuration_nodes["NodeId"].fill_missing_values.imputed_path #=> String
resp.job.code_gen_configuration_nodes["NodeId"].fill_missing_values.filled_path #=> String
resp.job.code_gen_configuration_nodes["NodeId"].filter.name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].filter.inputs #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].filter.inputs[0] #=> String
resp.job.code_gen_configuration_nodes["NodeId"].filter.logical_operator #=> String, one of "AND", "OR"
resp.job.code_gen_configuration_nodes["NodeId"].filter.filters #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].filter.filters[0].operation #=> String, one of "EQ", "LT", "GT", "LTE", "GTE", "REGEX", "ISNULL"
resp.job.code_gen_configuration_nodes["NodeId"].filter.filters[0].negated #=> Boolean
resp.job.code_gen_configuration_nodes["NodeId"].filter.filters[0].values #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].filter.filters[0].values[0].type #=> String, one of "COLUMNEXTRACTED", "CONSTANT"
resp.job.code_gen_configuration_nodes["NodeId"].filter.filters[0].values[0].value #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].filter.filters[0].values[0].value[0] #=> String
resp.job.code_gen_configuration_nodes["NodeId"].custom_code.name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].custom_code.inputs #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].custom_code.inputs[0] #=> String
resp.job.code_gen_configuration_nodes["NodeId"].custom_code.code #=> String
resp.job.code_gen_configuration_nodes["NodeId"].custom_code.class_name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].custom_code.output_schemas #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].custom_code.output_schemas[0].columns #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].custom_code.output_schemas[0].columns[0].name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].custom_code.output_schemas[0].columns[0].type #=> String
resp.job.code_gen_configuration_nodes["NodeId"].spark_sql.name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].spark_sql.inputs #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].spark_sql.inputs[0] #=> String
resp.job.code_gen_configuration_nodes["NodeId"].spark_sql.sql_query #=> String
resp.job.code_gen_configuration_nodes["NodeId"].spark_sql.sql_aliases #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].spark_sql.sql_aliases[0].from #=> String
resp.job.code_gen_configuration_nodes["NodeId"].spark_sql.sql_aliases[0].alias #=> String
resp.job.code_gen_configuration_nodes["NodeId"].spark_sql.output_schemas #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].spark_sql.output_schemas[0].columns #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].spark_sql.output_schemas[0].columns[0].name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].spark_sql.output_schemas[0].columns[0].type #=> String
resp.job.code_gen_configuration_nodes["NodeId"].direct_kinesis_source.name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].direct_kinesis_source.window_size #=> Integer
resp.job.code_gen_configuration_nodes["NodeId"].direct_kinesis_source.detect_schema #=> Boolean
resp.job.code_gen_configuration_nodes["NodeId"].direct_kinesis_source.streaming_options.endpoint_url #=> String
resp.job.code_gen_configuration_nodes["NodeId"].direct_kinesis_source.streaming_options.stream_name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].direct_kinesis_source.streaming_options.classification #=> String
resp.job.code_gen_configuration_nodes["NodeId"].direct_kinesis_source.streaming_options.delimiter #=> String
resp.job.code_gen_configuration_nodes["NodeId"].direct_kinesis_source.streaming_options.starting_position #=> String, one of "latest", "trim_horizon", "earliest", "timestamp"
resp.job.code_gen_configuration_nodes["NodeId"].direct_kinesis_source.streaming_options.max_fetch_time_in_ms #=> Integer
resp.job.code_gen_configuration_nodes["NodeId"].direct_kinesis_source.streaming_options.max_fetch_records_per_shard #=> Integer
resp.job.code_gen_configuration_nodes["NodeId"].direct_kinesis_source.streaming_options.max_record_per_read #=> Integer
resp.job.code_gen_configuration_nodes["NodeId"].direct_kinesis_source.streaming_options.add_idle_time_between_reads #=> Boolean
resp.job.code_gen_configuration_nodes["NodeId"].direct_kinesis_source.streaming_options.idle_time_between_reads_in_ms #=> Integer
resp.job.code_gen_configuration_nodes["NodeId"].direct_kinesis_source.streaming_options.describe_shard_interval #=> Integer
resp.job.code_gen_configuration_nodes["NodeId"].direct_kinesis_source.streaming_options.num_retries #=> Integer
resp.job.code_gen_configuration_nodes["NodeId"].direct_kinesis_source.streaming_options.retry_interval_ms #=> Integer
resp.job.code_gen_configuration_nodes["NodeId"].direct_kinesis_source.streaming_options.max_retry_interval_ms #=> Integer
resp.job.code_gen_configuration_nodes["NodeId"].direct_kinesis_source.streaming_options.avoid_empty_batches #=> Boolean
resp.job.code_gen_configuration_nodes["NodeId"].direct_kinesis_source.streaming_options.stream_arn #=> String
resp.job.code_gen_configuration_nodes["NodeId"].direct_kinesis_source.streaming_options.role_arn #=> String
resp.job.code_gen_configuration_nodes["NodeId"].direct_kinesis_source.streaming_options.role_session_name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].direct_kinesis_source.streaming_options.add_record_timestamp #=> String
resp.job.code_gen_configuration_nodes["NodeId"].direct_kinesis_source.streaming_options.emit_consumer_lag_metrics #=> String
resp.job.code_gen_configuration_nodes["NodeId"].direct_kinesis_source.streaming_options.starting_timestamp #=> Time
resp.job.code_gen_configuration_nodes["NodeId"].direct_kinesis_source.data_preview_options.polling_time #=> Integer
resp.job.code_gen_configuration_nodes["NodeId"].direct_kinesis_source.data_preview_options.record_polling_limit #=> Integer
resp.job.code_gen_configuration_nodes["NodeId"].direct_kafka_source.name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].direct_kafka_source.streaming_options.bootstrap_servers #=> String
resp.job.code_gen_configuration_nodes["NodeId"].direct_kafka_source.streaming_options.security_protocol #=> String
resp.job.code_gen_configuration_nodes["NodeId"].direct_kafka_source.streaming_options.connection_name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].direct_kafka_source.streaming_options.topic_name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].direct_kafka_source.streaming_options.assign #=> String
resp.job.code_gen_configuration_nodes["NodeId"].direct_kafka_source.streaming_options.subscribe_pattern #=> String
resp.job.code_gen_configuration_nodes["NodeId"].direct_kafka_source.streaming_options.classification #=> String
resp.job.code_gen_configuration_nodes["NodeId"].direct_kafka_source.streaming_options.delimiter #=> String
resp.job.code_gen_configuration_nodes["NodeId"].direct_kafka_source.streaming_options.starting_offsets #=> String
resp.job.code_gen_configuration_nodes["NodeId"].direct_kafka_source.streaming_options.ending_offsets #=> String
resp.job.code_gen_configuration_nodes["NodeId"].direct_kafka_source.streaming_options.poll_timeout_ms #=> Integer
resp.job.code_gen_configuration_nodes["NodeId"].direct_kafka_source.streaming_options.num_retries #=> Integer
resp.job.code_gen_configuration_nodes["NodeId"].direct_kafka_source.streaming_options.retry_interval_ms #=> Integer
resp.job.code_gen_configuration_nodes["NodeId"].direct_kafka_source.streaming_options.max_offsets_per_trigger #=> Integer
resp.job.code_gen_configuration_nodes["NodeId"].direct_kafka_source.streaming_options.min_partitions #=> Integer
resp.job.code_gen_configuration_nodes["NodeId"].direct_kafka_source.streaming_options.include_headers #=> Boolean
resp.job.code_gen_configuration_nodes["NodeId"].direct_kafka_source.streaming_options.add_record_timestamp #=> String
resp.job.code_gen_configuration_nodes["NodeId"].direct_kafka_source.streaming_options.emit_consumer_lag_metrics #=> String
resp.job.code_gen_configuration_nodes["NodeId"].direct_kafka_source.streaming_options.starting_timestamp #=> Time
resp.job.code_gen_configuration_nodes["NodeId"].direct_kafka_source.window_size #=> Integer
resp.job.code_gen_configuration_nodes["NodeId"].direct_kafka_source.detect_schema #=> Boolean
resp.job.code_gen_configuration_nodes["NodeId"].direct_kafka_source.data_preview_options.polling_time #=> Integer
resp.job.code_gen_configuration_nodes["NodeId"].direct_kafka_source.data_preview_options.record_polling_limit #=> Integer
resp.job.code_gen_configuration_nodes["NodeId"].catalog_kinesis_source.name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].catalog_kinesis_source.window_size #=> Integer
resp.job.code_gen_configuration_nodes["NodeId"].catalog_kinesis_source.detect_schema #=> Boolean
resp.job.code_gen_configuration_nodes["NodeId"].catalog_kinesis_source.table #=> String
resp.job.code_gen_configuration_nodes["NodeId"].catalog_kinesis_source.database #=> String
resp.job.code_gen_configuration_nodes["NodeId"].catalog_kinesis_source.streaming_options.endpoint_url #=> String
resp.job.code_gen_configuration_nodes["NodeId"].catalog_kinesis_source.streaming_options.stream_name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].catalog_kinesis_source.streaming_options.classification #=> String
resp.job.code_gen_configuration_nodes["NodeId"].catalog_kinesis_source.streaming_options.delimiter #=> String
resp.job.code_gen_configuration_nodes["NodeId"].catalog_kinesis_source.streaming_options.starting_position #=> String, one of "latest", "trim_horizon", "earliest", "timestamp"
resp.job.code_gen_configuration_nodes["NodeId"].catalog_kinesis_source.streaming_options.max_fetch_time_in_ms #=> Integer
resp.job.code_gen_configuration_nodes["NodeId"].catalog_kinesis_source.streaming_options.max_fetch_records_per_shard #=> Integer
resp.job.code_gen_configuration_nodes["NodeId"].catalog_kinesis_source.streaming_options.max_record_per_read #=> Integer
resp.job.code_gen_configuration_nodes["NodeId"].catalog_kinesis_source.streaming_options.add_idle_time_between_reads #=> Boolean
resp.job.code_gen_configuration_nodes["NodeId"].catalog_kinesis_source.streaming_options.idle_time_between_reads_in_ms #=> Integer
resp.job.code_gen_configuration_nodes["NodeId"].catalog_kinesis_source.streaming_options.describe_shard_interval #=> Integer
resp.job.code_gen_configuration_nodes["NodeId"].catalog_kinesis_source.streaming_options.num_retries #=> Integer
resp.job.code_gen_configuration_nodes["NodeId"].catalog_kinesis_source.streaming_options.retry_interval_ms #=> Integer
resp.job.code_gen_configuration_nodes["NodeId"].catalog_kinesis_source.streaming_options.max_retry_interval_ms #=> Integer
resp.job.code_gen_configuration_nodes["NodeId"].catalog_kinesis_source.streaming_options.avoid_empty_batches #=> Boolean
resp.job.code_gen_configuration_nodes["NodeId"].catalog_kinesis_source.streaming_options.stream_arn #=> String
resp.job.code_gen_configuration_nodes["NodeId"].catalog_kinesis_source.streaming_options.role_arn #=> String
resp.job.code_gen_configuration_nodes["NodeId"].catalog_kinesis_source.streaming_options.role_session_name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].catalog_kinesis_source.streaming_options.add_record_timestamp #=> String
resp.job.code_gen_configuration_nodes["NodeId"].catalog_kinesis_source.streaming_options.emit_consumer_lag_metrics #=> String
resp.job.code_gen_configuration_nodes["NodeId"].catalog_kinesis_source.streaming_options.starting_timestamp #=> Time
resp.job.code_gen_configuration_nodes["NodeId"].catalog_kinesis_source.data_preview_options.polling_time #=> Integer
resp.job.code_gen_configuration_nodes["NodeId"].catalog_kinesis_source.data_preview_options.record_polling_limit #=> Integer
resp.job.code_gen_configuration_nodes["NodeId"].catalog_kafka_source.name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].catalog_kafka_source.window_size #=> Integer
resp.job.code_gen_configuration_nodes["NodeId"].catalog_kafka_source.detect_schema #=> Boolean
resp.job.code_gen_configuration_nodes["NodeId"].catalog_kafka_source.table #=> String
resp.job.code_gen_configuration_nodes["NodeId"].catalog_kafka_source.database #=> String
resp.job.code_gen_configuration_nodes["NodeId"].catalog_kafka_source.streaming_options.bootstrap_servers #=> String
resp.job.code_gen_configuration_nodes["NodeId"].catalog_kafka_source.streaming_options.security_protocol #=> String
resp.job.code_gen_configuration_nodes["NodeId"].catalog_kafka_source.streaming_options.connection_name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].catalog_kafka_source.streaming_options.topic_name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].catalog_kafka_source.streaming_options.assign #=> String
resp.job.code_gen_configuration_nodes["NodeId"].catalog_kafka_source.streaming_options.subscribe_pattern #=> String
resp.job.code_gen_configuration_nodes["NodeId"].catalog_kafka_source.streaming_options.classification #=> String
resp.job.code_gen_configuration_nodes["NodeId"].catalog_kafka_source.streaming_options.delimiter #=> String
resp.job.code_gen_configuration_nodes["NodeId"].catalog_kafka_source.streaming_options.starting_offsets #=> String
resp.job.code_gen_configuration_nodes["NodeId"].catalog_kafka_source.streaming_options.ending_offsets #=> String
resp.job.code_gen_configuration_nodes["NodeId"].catalog_kafka_source.streaming_options.poll_timeout_ms #=> Integer
resp.job.code_gen_configuration_nodes["NodeId"].catalog_kafka_source.streaming_options.num_retries #=> Integer
resp.job.code_gen_configuration_nodes["NodeId"].catalog_kafka_source.streaming_options.retry_interval_ms #=> Integer
resp.job.code_gen_configuration_nodes["NodeId"].catalog_kafka_source.streaming_options.max_offsets_per_trigger #=> Integer
resp.job.code_gen_configuration_nodes["NodeId"].catalog_kafka_source.streaming_options.min_partitions #=> Integer
resp.job.code_gen_configuration_nodes["NodeId"].catalog_kafka_source.streaming_options.include_headers #=> Boolean
resp.job.code_gen_configuration_nodes["NodeId"].catalog_kafka_source.streaming_options.add_record_timestamp #=> String
resp.job.code_gen_configuration_nodes["NodeId"].catalog_kafka_source.streaming_options.emit_consumer_lag_metrics #=> String
resp.job.code_gen_configuration_nodes["NodeId"].catalog_kafka_source.streaming_options.starting_timestamp #=> Time
resp.job.code_gen_configuration_nodes["NodeId"].catalog_kafka_source.data_preview_options.polling_time #=> Integer
resp.job.code_gen_configuration_nodes["NodeId"].catalog_kafka_source.data_preview_options.record_polling_limit #=> Integer
resp.job.code_gen_configuration_nodes["NodeId"].drop_null_fields.name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].drop_null_fields.inputs #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].drop_null_fields.inputs[0] #=> String
resp.job.code_gen_configuration_nodes["NodeId"].drop_null_fields.null_check_box_list.is_empty #=> Boolean
resp.job.code_gen_configuration_nodes["NodeId"].drop_null_fields.null_check_box_list.is_null_string #=> Boolean
resp.job.code_gen_configuration_nodes["NodeId"].drop_null_fields.null_check_box_list.is_neg_one #=> Boolean
resp.job.code_gen_configuration_nodes["NodeId"].drop_null_fields.null_text_list #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].drop_null_fields.null_text_list[0].value #=> String
resp.job.code_gen_configuration_nodes["NodeId"].drop_null_fields.null_text_list[0].datatype.id #=> String
resp.job.code_gen_configuration_nodes["NodeId"].drop_null_fields.null_text_list[0].datatype.label #=> String
resp.job.code_gen_configuration_nodes["NodeId"].merge.name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].merge.inputs #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].merge.inputs[0] #=> String
resp.job.code_gen_configuration_nodes["NodeId"].merge.source #=> String
resp.job.code_gen_configuration_nodes["NodeId"].merge.primary_keys #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].merge.primary_keys[0] #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].merge.primary_keys[0][0] #=> String
resp.job.code_gen_configuration_nodes["NodeId"].union.name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].union.inputs #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].union.inputs[0] #=> String
resp.job.code_gen_configuration_nodes["NodeId"].union.union_type #=> String, one of "ALL", "DISTINCT"
resp.job.code_gen_configuration_nodes["NodeId"].pii_detection.name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].pii_detection.inputs #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].pii_detection.inputs[0] #=> String
resp.job.code_gen_configuration_nodes["NodeId"].pii_detection.pii_type #=> String, one of "RowAudit", "RowMasking", "ColumnAudit", "ColumnMasking"
resp.job.code_gen_configuration_nodes["NodeId"].pii_detection.entity_types_to_detect #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].pii_detection.entity_types_to_detect[0] #=> String
resp.job.code_gen_configuration_nodes["NodeId"].pii_detection.output_column_name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].pii_detection.sample_fraction #=> Float
resp.job.code_gen_configuration_nodes["NodeId"].pii_detection.threshold_fraction #=> Float
resp.job.code_gen_configuration_nodes["NodeId"].pii_detection.mask_value #=> String
resp.job.code_gen_configuration_nodes["NodeId"].aggregate.name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].aggregate.inputs #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].aggregate.inputs[0] #=> String
resp.job.code_gen_configuration_nodes["NodeId"].aggregate.groups #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].aggregate.groups[0] #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].aggregate.groups[0][0] #=> String
resp.job.code_gen_configuration_nodes["NodeId"].aggregate.aggs #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].aggregate.aggs[0].column #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].aggregate.aggs[0].column[0] #=> String
resp.job.code_gen_configuration_nodes["NodeId"].aggregate.aggs[0].agg_func #=> String, one of "avg", "countDistinct", "count", "first", "last", "kurtosis", "max", "min", "skewness", "stddev_samp", "stddev_pop", "sum", "sumDistinct", "var_samp", "var_pop"
resp.job.code_gen_configuration_nodes["NodeId"].drop_duplicates.name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].drop_duplicates.inputs #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].drop_duplicates.inputs[0] #=> String
resp.job.code_gen_configuration_nodes["NodeId"].drop_duplicates.columns #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].drop_duplicates.columns[0] #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].drop_duplicates.columns[0][0] #=> String
resp.job.code_gen_configuration_nodes["NodeId"].governed_catalog_target.name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].governed_catalog_target.inputs #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].governed_catalog_target.inputs[0] #=> String
resp.job.code_gen_configuration_nodes["NodeId"].governed_catalog_target.partition_keys #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].governed_catalog_target.partition_keys[0] #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].governed_catalog_target.partition_keys[0][0] #=> String
resp.job.code_gen_configuration_nodes["NodeId"].governed_catalog_target.table #=> String
resp.job.code_gen_configuration_nodes["NodeId"].governed_catalog_target.database #=> String
resp.job.code_gen_configuration_nodes["NodeId"].governed_catalog_target.schema_change_policy.enable_update_catalog #=> Boolean
resp.job.code_gen_configuration_nodes["NodeId"].governed_catalog_target.schema_change_policy.update_behavior #=> String, one of "UPDATE_IN_DATABASE", "LOG"
resp.job.code_gen_configuration_nodes["NodeId"].governed_catalog_source.name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].governed_catalog_source.database #=> String
resp.job.code_gen_configuration_nodes["NodeId"].governed_catalog_source.table #=> String
resp.job.code_gen_configuration_nodes["NodeId"].governed_catalog_source.partition_predicate #=> String
resp.job.code_gen_configuration_nodes["NodeId"].governed_catalog_source.additional_options.bounded_size #=> Integer
resp.job.code_gen_configuration_nodes["NodeId"].governed_catalog_source.additional_options.bounded_files #=> Integer
resp.job.code_gen_configuration_nodes["NodeId"].microsoft_sql_server_catalog_source.name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].microsoft_sql_server_catalog_source.database #=> String
resp.job.code_gen_configuration_nodes["NodeId"].microsoft_sql_server_catalog_source.table #=> String
resp.job.code_gen_configuration_nodes["NodeId"].my_sql_catalog_source.name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].my_sql_catalog_source.database #=> String
resp.job.code_gen_configuration_nodes["NodeId"].my_sql_catalog_source.table #=> String
resp.job.code_gen_configuration_nodes["NodeId"].oracle_sql_catalog_source.name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].oracle_sql_catalog_source.database #=> String
resp.job.code_gen_configuration_nodes["NodeId"].oracle_sql_catalog_source.table #=> String
resp.job.code_gen_configuration_nodes["NodeId"].postgre_sql_catalog_source.name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].postgre_sql_catalog_source.database #=> String
resp.job.code_gen_configuration_nodes["NodeId"].postgre_sql_catalog_source.table #=> String
resp.job.code_gen_configuration_nodes["NodeId"].microsoft_sql_server_catalog_target.name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].microsoft_sql_server_catalog_target.inputs #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].microsoft_sql_server_catalog_target.inputs[0] #=> String
resp.job.code_gen_configuration_nodes["NodeId"].microsoft_sql_server_catalog_target.database #=> String
resp.job.code_gen_configuration_nodes["NodeId"].microsoft_sql_server_catalog_target.table #=> String
resp.job.code_gen_configuration_nodes["NodeId"].my_sql_catalog_target.name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].my_sql_catalog_target.inputs #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].my_sql_catalog_target.inputs[0] #=> String
resp.job.code_gen_configuration_nodes["NodeId"].my_sql_catalog_target.database #=> String
resp.job.code_gen_configuration_nodes["NodeId"].my_sql_catalog_target.table #=> String
resp.job.code_gen_configuration_nodes["NodeId"].oracle_sql_catalog_target.name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].oracle_sql_catalog_target.inputs #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].oracle_sql_catalog_target.inputs[0] #=> String
resp.job.code_gen_configuration_nodes["NodeId"].oracle_sql_catalog_target.database #=> String
resp.job.code_gen_configuration_nodes["NodeId"].oracle_sql_catalog_target.table #=> String
resp.job.code_gen_configuration_nodes["NodeId"].postgre_sql_catalog_target.name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].postgre_sql_catalog_target.inputs #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].postgre_sql_catalog_target.inputs[0] #=> String
resp.job.code_gen_configuration_nodes["NodeId"].postgre_sql_catalog_target.database #=> String
resp.job.code_gen_configuration_nodes["NodeId"].postgre_sql_catalog_target.table #=> String
resp.job.code_gen_configuration_nodes["NodeId"].dynamic_transform.name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].dynamic_transform.transform_name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].dynamic_transform.inputs #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].dynamic_transform.inputs[0] #=> String
resp.job.code_gen_configuration_nodes["NodeId"].dynamic_transform.parameters #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].dynamic_transform.parameters[0].name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].dynamic_transform.parameters[0].type #=> String, one of "str", "int", "float", "complex", "bool", "list", "null"
resp.job.code_gen_configuration_nodes["NodeId"].dynamic_transform.parameters[0].validation_rule #=> String
resp.job.code_gen_configuration_nodes["NodeId"].dynamic_transform.parameters[0].validation_message #=> String
resp.job.code_gen_configuration_nodes["NodeId"].dynamic_transform.parameters[0].value #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].dynamic_transform.parameters[0].value[0] #=> String
resp.job.code_gen_configuration_nodes["NodeId"].dynamic_transform.parameters[0].list_type #=> String, one of "str", "int", "float", "complex", "bool", "list", "null"
resp.job.code_gen_configuration_nodes["NodeId"].dynamic_transform.parameters[0].is_optional #=> Boolean
resp.job.code_gen_configuration_nodes["NodeId"].dynamic_transform.function_name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].dynamic_transform.path #=> String
resp.job.code_gen_configuration_nodes["NodeId"].dynamic_transform.version #=> String
resp.job.code_gen_configuration_nodes["NodeId"].dynamic_transform.output_schemas #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].dynamic_transform.output_schemas[0].columns #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].dynamic_transform.output_schemas[0].columns[0].name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].dynamic_transform.output_schemas[0].columns[0].type #=> String
resp.job.code_gen_configuration_nodes["NodeId"].evaluate_data_quality.name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].evaluate_data_quality.inputs #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].evaluate_data_quality.inputs[0] #=> String
resp.job.code_gen_configuration_nodes["NodeId"].evaluate_data_quality.ruleset #=> String
resp.job.code_gen_configuration_nodes["NodeId"].evaluate_data_quality.output #=> String, one of "PrimaryInput", "EvaluationResults"
resp.job.code_gen_configuration_nodes["NodeId"].evaluate_data_quality.publishing_options.evaluation_context #=> String
resp.job.code_gen_configuration_nodes["NodeId"].evaluate_data_quality.publishing_options.results_s3_prefix #=> String
resp.job.code_gen_configuration_nodes["NodeId"].evaluate_data_quality.publishing_options.cloud_watch_metrics_enabled #=> Boolean
resp.job.code_gen_configuration_nodes["NodeId"].evaluate_data_quality.publishing_options.results_publishing_enabled #=> Boolean
resp.job.code_gen_configuration_nodes["NodeId"].evaluate_data_quality.stop_job_on_failure_options.stop_job_on_failure_timing #=> String, one of "Immediate", "AfterDataLoad"
resp.job.code_gen_configuration_nodes["NodeId"].s3_catalog_hudi_source.name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].s3_catalog_hudi_source.database #=> String
resp.job.code_gen_configuration_nodes["NodeId"].s3_catalog_hudi_source.table #=> String
resp.job.code_gen_configuration_nodes["NodeId"].s3_catalog_hudi_source.additional_hudi_options #=> Hash
resp.job.code_gen_configuration_nodes["NodeId"].s3_catalog_hudi_source.additional_hudi_options["EnclosedInStringProperty"] #=> String
resp.job.code_gen_configuration_nodes["NodeId"].s3_catalog_hudi_source.output_schemas #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].s3_catalog_hudi_source.output_schemas[0].columns #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].s3_catalog_hudi_source.output_schemas[0].columns[0].name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].s3_catalog_hudi_source.output_schemas[0].columns[0].type #=> String
resp.job.code_gen_configuration_nodes["NodeId"].catalog_hudi_source.name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].catalog_hudi_source.database #=> String
resp.job.code_gen_configuration_nodes["NodeId"].catalog_hudi_source.table #=> String
resp.job.code_gen_configuration_nodes["NodeId"].catalog_hudi_source.additional_hudi_options #=> Hash
resp.job.code_gen_configuration_nodes["NodeId"].catalog_hudi_source.additional_hudi_options["EnclosedInStringProperty"] #=> String
resp.job.code_gen_configuration_nodes["NodeId"].catalog_hudi_source.output_schemas #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].catalog_hudi_source.output_schemas[0].columns #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].catalog_hudi_source.output_schemas[0].columns[0].name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].catalog_hudi_source.output_schemas[0].columns[0].type #=> String
resp.job.code_gen_configuration_nodes["NodeId"].s3_hudi_source.name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].s3_hudi_source.paths #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].s3_hudi_source.paths[0] #=> String
resp.job.code_gen_configuration_nodes["NodeId"].s3_hudi_source.additional_hudi_options #=> Hash
resp.job.code_gen_configuration_nodes["NodeId"].s3_hudi_source.additional_hudi_options["EnclosedInStringProperty"] #=> String
resp.job.code_gen_configuration_nodes["NodeId"].s3_hudi_source.additional_options.bounded_size #=> Integer
resp.job.code_gen_configuration_nodes["NodeId"].s3_hudi_source.additional_options.bounded_files #=> Integer
resp.job.code_gen_configuration_nodes["NodeId"].s3_hudi_source.additional_options.enable_sample_path #=> Boolean
resp.job.code_gen_configuration_nodes["NodeId"].s3_hudi_source.additional_options.sample_path #=> String
resp.job.code_gen_configuration_nodes["NodeId"].s3_hudi_source.output_schemas #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].s3_hudi_source.output_schemas[0].columns #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].s3_hudi_source.output_schemas[0].columns[0].name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].s3_hudi_source.output_schemas[0].columns[0].type #=> String
resp.job.code_gen_configuration_nodes["NodeId"].s3_hudi_catalog_target.name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].s3_hudi_catalog_target.inputs #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].s3_hudi_catalog_target.inputs[0] #=> String
resp.job.code_gen_configuration_nodes["NodeId"].s3_hudi_catalog_target.partition_keys #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].s3_hudi_catalog_target.partition_keys[0] #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].s3_hudi_catalog_target.partition_keys[0][0] #=> String
resp.job.code_gen_configuration_nodes["NodeId"].s3_hudi_catalog_target.table #=> String
resp.job.code_gen_configuration_nodes["NodeId"].s3_hudi_catalog_target.database #=> String
resp.job.code_gen_configuration_nodes["NodeId"].s3_hudi_catalog_target.additional_options #=> Hash
resp.job.code_gen_configuration_nodes["NodeId"].s3_hudi_catalog_target.additional_options["EnclosedInStringProperty"] #=> String
resp.job.code_gen_configuration_nodes["NodeId"].s3_hudi_catalog_target.schema_change_policy.enable_update_catalog #=> Boolean
resp.job.code_gen_configuration_nodes["NodeId"].s3_hudi_catalog_target.schema_change_policy.update_behavior #=> String, one of "UPDATE_IN_DATABASE", "LOG"
resp.job.code_gen_configuration_nodes["NodeId"].s3_hudi_direct_target.name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].s3_hudi_direct_target.inputs #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].s3_hudi_direct_target.inputs[0] #=> String
resp.job.code_gen_configuration_nodes["NodeId"].s3_hudi_direct_target.path #=> String
resp.job.code_gen_configuration_nodes["NodeId"].s3_hudi_direct_target.compression #=> String, one of "gzip", "lzo", "uncompressed", "snappy"
resp.job.code_gen_configuration_nodes["NodeId"].s3_hudi_direct_target.partition_keys #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].s3_hudi_direct_target.partition_keys[0] #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].s3_hudi_direct_target.partition_keys[0][0] #=> String
resp.job.code_gen_configuration_nodes["NodeId"].s3_hudi_direct_target.format #=> String, one of "json", "csv", "avro", "orc", "parquet", "hudi", "delta"
resp.job.code_gen_configuration_nodes["NodeId"].s3_hudi_direct_target.additional_options #=> Hash
resp.job.code_gen_configuration_nodes["NodeId"].s3_hudi_direct_target.additional_options["EnclosedInStringProperty"] #=> String
resp.job.code_gen_configuration_nodes["NodeId"].s3_hudi_direct_target.schema_change_policy.enable_update_catalog #=> Boolean
resp.job.code_gen_configuration_nodes["NodeId"].s3_hudi_direct_target.schema_change_policy.update_behavior #=> String, one of "UPDATE_IN_DATABASE", "LOG"
resp.job.code_gen_configuration_nodes["NodeId"].s3_hudi_direct_target.schema_change_policy.table #=> String
resp.job.code_gen_configuration_nodes["NodeId"].s3_hudi_direct_target.schema_change_policy.database #=> String
resp.job.code_gen_configuration_nodes["NodeId"].direct_jdbc_source.name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].direct_jdbc_source.database #=> String
resp.job.code_gen_configuration_nodes["NodeId"].direct_jdbc_source.table #=> String
resp.job.code_gen_configuration_nodes["NodeId"].direct_jdbc_source.connection_name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].direct_jdbc_source.connection_type #=> String, one of "sqlserver", "mysql", "oracle", "postgresql", "redshift"
resp.job.code_gen_configuration_nodes["NodeId"].direct_jdbc_source.redshift_tmp_dir #=> String
resp.job.code_gen_configuration_nodes["NodeId"].s3_catalog_delta_source.name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].s3_catalog_delta_source.database #=> String
resp.job.code_gen_configuration_nodes["NodeId"].s3_catalog_delta_source.table #=> String
resp.job.code_gen_configuration_nodes["NodeId"].s3_catalog_delta_source.additional_delta_options #=> Hash
resp.job.code_gen_configuration_nodes["NodeId"].s3_catalog_delta_source.additional_delta_options["EnclosedInStringProperty"] #=> String
resp.job.code_gen_configuration_nodes["NodeId"].s3_catalog_delta_source.output_schemas #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].s3_catalog_delta_source.output_schemas[0].columns #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].s3_catalog_delta_source.output_schemas[0].columns[0].name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].s3_catalog_delta_source.output_schemas[0].columns[0].type #=> String
resp.job.code_gen_configuration_nodes["NodeId"].catalog_delta_source.name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].catalog_delta_source.database #=> String
resp.job.code_gen_configuration_nodes["NodeId"].catalog_delta_source.table #=> String
resp.job.code_gen_configuration_nodes["NodeId"].catalog_delta_source.additional_delta_options #=> Hash
resp.job.code_gen_configuration_nodes["NodeId"].catalog_delta_source.additional_delta_options["EnclosedInStringProperty"] #=> String
resp.job.code_gen_configuration_nodes["NodeId"].catalog_delta_source.output_schemas #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].catalog_delta_source.output_schemas[0].columns #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].catalog_delta_source.output_schemas[0].columns[0].name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].catalog_delta_source.output_schemas[0].columns[0].type #=> String
resp.job.code_gen_configuration_nodes["NodeId"].s3_delta_source.name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].s3_delta_source.paths #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].s3_delta_source.paths[0] #=> String
resp.job.code_gen_configuration_nodes["NodeId"].s3_delta_source.additional_delta_options #=> Hash
resp.job.code_gen_configuration_nodes["NodeId"].s3_delta_source.additional_delta_options["EnclosedInStringProperty"] #=> String
resp.job.code_gen_configuration_nodes["NodeId"].s3_delta_source.additional_options.bounded_size #=> Integer
resp.job.code_gen_configuration_nodes["NodeId"].s3_delta_source.additional_options.bounded_files #=> Integer
resp.job.code_gen_configuration_nodes["NodeId"].s3_delta_source.additional_options.enable_sample_path #=> Boolean
resp.job.code_gen_configuration_nodes["NodeId"].s3_delta_source.additional_options.sample_path #=> String
resp.job.code_gen_configuration_nodes["NodeId"].s3_delta_source.output_schemas #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].s3_delta_source.output_schemas[0].columns #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].s3_delta_source.output_schemas[0].columns[0].name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].s3_delta_source.output_schemas[0].columns[0].type #=> String
resp.job.code_gen_configuration_nodes["NodeId"].s3_delta_catalog_target.name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].s3_delta_catalog_target.inputs #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].s3_delta_catalog_target.inputs[0] #=> String
resp.job.code_gen_configuration_nodes["NodeId"].s3_delta_catalog_target.partition_keys #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].s3_delta_catalog_target.partition_keys[0] #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].s3_delta_catalog_target.partition_keys[0][0] #=> String
resp.job.code_gen_configuration_nodes["NodeId"].s3_delta_catalog_target.table #=> String
resp.job.code_gen_configuration_nodes["NodeId"].s3_delta_catalog_target.database #=> String
resp.job.code_gen_configuration_nodes["NodeId"].s3_delta_catalog_target.additional_options #=> Hash
resp.job.code_gen_configuration_nodes["NodeId"].s3_delta_catalog_target.additional_options["EnclosedInStringProperty"] #=> String
resp.job.code_gen_configuration_nodes["NodeId"].s3_delta_catalog_target.schema_change_policy.enable_update_catalog #=> Boolean
resp.job.code_gen_configuration_nodes["NodeId"].s3_delta_catalog_target.schema_change_policy.update_behavior #=> String, one of "UPDATE_IN_DATABASE", "LOG"
resp.job.code_gen_configuration_nodes["NodeId"].s3_delta_direct_target.name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].s3_delta_direct_target.inputs #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].s3_delta_direct_target.inputs[0] #=> String
resp.job.code_gen_configuration_nodes["NodeId"].s3_delta_direct_target.partition_keys #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].s3_delta_direct_target.partition_keys[0] #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].s3_delta_direct_target.partition_keys[0][0] #=> String
resp.job.code_gen_configuration_nodes["NodeId"].s3_delta_direct_target.path #=> String
resp.job.code_gen_configuration_nodes["NodeId"].s3_delta_direct_target.compression #=> String, one of "uncompressed", "snappy"
resp.job.code_gen_configuration_nodes["NodeId"].s3_delta_direct_target.format #=> String, one of "json", "csv", "avro", "orc", "parquet", "hudi", "delta"
resp.job.code_gen_configuration_nodes["NodeId"].s3_delta_direct_target.additional_options #=> Hash
resp.job.code_gen_configuration_nodes["NodeId"].s3_delta_direct_target.additional_options["EnclosedInStringProperty"] #=> String
resp.job.code_gen_configuration_nodes["NodeId"].s3_delta_direct_target.schema_change_policy.enable_update_catalog #=> Boolean
resp.job.code_gen_configuration_nodes["NodeId"].s3_delta_direct_target.schema_change_policy.update_behavior #=> String, one of "UPDATE_IN_DATABASE", "LOG"
resp.job.code_gen_configuration_nodes["NodeId"].s3_delta_direct_target.schema_change_policy.table #=> String
resp.job.code_gen_configuration_nodes["NodeId"].s3_delta_direct_target.schema_change_policy.database #=> String
resp.job.code_gen_configuration_nodes["NodeId"].amazon_redshift_source.name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.access_type #=> String
resp.job.code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.source_type #=> String
resp.job.code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.connection.value #=> String
resp.job.code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.connection.label #=> String
resp.job.code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.connection.description #=> String
resp.job.code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.schema.value #=> String
resp.job.code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.schema.label #=> String
resp.job.code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.schema.description #=> String
resp.job.code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.table.value #=> String
resp.job.code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.table.label #=> String
resp.job.code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.table.description #=> String
resp.job.code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.catalog_database.value #=> String
resp.job.code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.catalog_database.label #=> String
resp.job.code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.catalog_database.description #=> String
resp.job.code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.catalog_table.value #=> String
resp.job.code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.catalog_table.label #=> String
resp.job.code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.catalog_table.description #=> String
resp.job.code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.catalog_redshift_schema #=> String
resp.job.code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.catalog_redshift_table #=> String
resp.job.code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.temp_dir #=> String
resp.job.code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.iam_role.value #=> String
resp.job.code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.iam_role.label #=> String
resp.job.code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.iam_role.description #=> String
resp.job.code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.advanced_options #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.advanced_options[0].key #=> String
resp.job.code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.advanced_options[0].value #=> String
resp.job.code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.sample_query #=> String
resp.job.code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.pre_action #=> String
resp.job.code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.post_action #=> String
resp.job.code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.action #=> String
resp.job.code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.table_prefix #=> String
resp.job.code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.upsert #=> Boolean
resp.job.code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.merge_action #=> String
resp.job.code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.merge_when_matched #=> String
resp.job.code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.merge_when_not_matched #=> String
resp.job.code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.merge_clause #=> String
resp.job.code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.crawler_connection #=> String
resp.job.code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.table_schema #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.table_schema[0].value #=> String
resp.job.code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.table_schema[0].label #=> String
resp.job.code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.table_schema[0].description #=> String
resp.job.code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.staging_table #=> String
resp.job.code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.selected_columns #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.selected_columns[0].value #=> String
resp.job.code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.selected_columns[0].label #=> String
resp.job.code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.selected_columns[0].description #=> String
resp.job.code_gen_configuration_nodes["NodeId"].amazon_redshift_target.name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.access_type #=> String
resp.job.code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.source_type #=> String
resp.job.code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.connection.value #=> String
resp.job.code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.connection.label #=> String
resp.job.code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.connection.description #=> String
resp.job.code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.schema.value #=> String
resp.job.code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.schema.label #=> String
resp.job.code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.schema.description #=> String
resp.job.code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.table.value #=> String
resp.job.code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.table.label #=> String
resp.job.code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.table.description #=> String
resp.job.code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.catalog_database.value #=> String
resp.job.code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.catalog_database.label #=> String
resp.job.code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.catalog_database.description #=> String
resp.job.code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.catalog_table.value #=> String
resp.job.code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.catalog_table.label #=> String
resp.job.code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.catalog_table.description #=> String
resp.job.code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.catalog_redshift_schema #=> String
resp.job.code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.catalog_redshift_table #=> String
resp.job.code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.temp_dir #=> String
resp.job.code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.iam_role.value #=> String
resp.job.code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.iam_role.label #=> String
resp.job.code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.iam_role.description #=> String
resp.job.code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.advanced_options #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.advanced_options[0].key #=> String
resp.job.code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.advanced_options[0].value #=> String
resp.job.code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.sample_query #=> String
resp.job.code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.pre_action #=> String
resp.job.code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.post_action #=> String
resp.job.code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.action #=> String
resp.job.code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.table_prefix #=> String
resp.job.code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.upsert #=> Boolean
resp.job.code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.merge_action #=> String
resp.job.code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.merge_when_matched #=> String
resp.job.code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.merge_when_not_matched #=> String
resp.job.code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.merge_clause #=> String
resp.job.code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.crawler_connection #=> String
resp.job.code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.table_schema #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.table_schema[0].value #=> String
resp.job.code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.table_schema[0].label #=> String
resp.job.code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.table_schema[0].description #=> String
resp.job.code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.staging_table #=> String
resp.job.code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.selected_columns #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.selected_columns[0].value #=> String
resp.job.code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.selected_columns[0].label #=> String
resp.job.code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.selected_columns[0].description #=> String
resp.job.code_gen_configuration_nodes["NodeId"].amazon_redshift_target.inputs #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].amazon_redshift_target.inputs[0] #=> String
resp.job.code_gen_configuration_nodes["NodeId"].evaluate_data_quality_multi_frame.name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].evaluate_data_quality_multi_frame.inputs #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].evaluate_data_quality_multi_frame.inputs[0] #=> String
resp.job.code_gen_configuration_nodes["NodeId"].evaluate_data_quality_multi_frame.additional_data_sources #=> Hash
resp.job.code_gen_configuration_nodes["NodeId"].evaluate_data_quality_multi_frame.additional_data_sources["NodeName"] #=> String
resp.job.code_gen_configuration_nodes["NodeId"].evaluate_data_quality_multi_frame.ruleset #=> String
resp.job.code_gen_configuration_nodes["NodeId"].evaluate_data_quality_multi_frame.publishing_options.evaluation_context #=> String
resp.job.code_gen_configuration_nodes["NodeId"].evaluate_data_quality_multi_frame.publishing_options.results_s3_prefix #=> String
resp.job.code_gen_configuration_nodes["NodeId"].evaluate_data_quality_multi_frame.publishing_options.cloud_watch_metrics_enabled #=> Boolean
resp.job.code_gen_configuration_nodes["NodeId"].evaluate_data_quality_multi_frame.publishing_options.results_publishing_enabled #=> Boolean
resp.job.code_gen_configuration_nodes["NodeId"].evaluate_data_quality_multi_frame.additional_options #=> Hash
resp.job.code_gen_configuration_nodes["NodeId"].evaluate_data_quality_multi_frame.additional_options["AdditionalOptionKeys"] #=> String
resp.job.code_gen_configuration_nodes["NodeId"].evaluate_data_quality_multi_frame.stop_job_on_failure_options.stop_job_on_failure_timing #=> String, one of "Immediate", "AfterDataLoad"
resp.job.code_gen_configuration_nodes["NodeId"].recipe.name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].recipe.inputs #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].recipe.inputs[0] #=> String
resp.job.code_gen_configuration_nodes["NodeId"].recipe.recipe_reference.recipe_arn #=> String
resp.job.code_gen_configuration_nodes["NodeId"].recipe.recipe_reference.recipe_version #=> String
resp.job.code_gen_configuration_nodes["NodeId"].snowflake_source.name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].snowflake_source.data.source_type #=> String
resp.job.code_gen_configuration_nodes["NodeId"].snowflake_source.data.connection.value #=> String
resp.job.code_gen_configuration_nodes["NodeId"].snowflake_source.data.connection.label #=> String
resp.job.code_gen_configuration_nodes["NodeId"].snowflake_source.data.connection.description #=> String
resp.job.code_gen_configuration_nodes["NodeId"].snowflake_source.data.schema #=> String
resp.job.code_gen_configuration_nodes["NodeId"].snowflake_source.data.table #=> String
resp.job.code_gen_configuration_nodes["NodeId"].snowflake_source.data.database #=> String
resp.job.code_gen_configuration_nodes["NodeId"].snowflake_source.data.temp_dir #=> String
resp.job.code_gen_configuration_nodes["NodeId"].snowflake_source.data.iam_role.value #=> String
resp.job.code_gen_configuration_nodes["NodeId"].snowflake_source.data.iam_role.label #=> String
resp.job.code_gen_configuration_nodes["NodeId"].snowflake_source.data.iam_role.description #=> String
resp.job.code_gen_configuration_nodes["NodeId"].snowflake_source.data.additional_options #=> Hash
resp.job.code_gen_configuration_nodes["NodeId"].snowflake_source.data.additional_options["EnclosedInStringProperty"] #=> String
resp.job.code_gen_configuration_nodes["NodeId"].snowflake_source.data.sample_query #=> String
resp.job.code_gen_configuration_nodes["NodeId"].snowflake_source.data.pre_action #=> String
resp.job.code_gen_configuration_nodes["NodeId"].snowflake_source.data.post_action #=> String
resp.job.code_gen_configuration_nodes["NodeId"].snowflake_source.data.action #=> String
resp.job.code_gen_configuration_nodes["NodeId"].snowflake_source.data.upsert #=> Boolean
resp.job.code_gen_configuration_nodes["NodeId"].snowflake_source.data.merge_action #=> String
resp.job.code_gen_configuration_nodes["NodeId"].snowflake_source.data.merge_when_matched #=> String
resp.job.code_gen_configuration_nodes["NodeId"].snowflake_source.data.merge_when_not_matched #=> String
resp.job.code_gen_configuration_nodes["NodeId"].snowflake_source.data.merge_clause #=> String
resp.job.code_gen_configuration_nodes["NodeId"].snowflake_source.data.staging_table #=> String
resp.job.code_gen_configuration_nodes["NodeId"].snowflake_source.data.selected_columns #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].snowflake_source.data.selected_columns[0].value #=> String
resp.job.code_gen_configuration_nodes["NodeId"].snowflake_source.data.selected_columns[0].label #=> String
resp.job.code_gen_configuration_nodes["NodeId"].snowflake_source.data.selected_columns[0].description #=> String
resp.job.code_gen_configuration_nodes["NodeId"].snowflake_source.data.auto_pushdown #=> Boolean
resp.job.code_gen_configuration_nodes["NodeId"].snowflake_source.data.table_schema #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].snowflake_source.data.table_schema[0].value #=> String
resp.job.code_gen_configuration_nodes["NodeId"].snowflake_source.data.table_schema[0].label #=> String
resp.job.code_gen_configuration_nodes["NodeId"].snowflake_source.data.table_schema[0].description #=> String
resp.job.code_gen_configuration_nodes["NodeId"].snowflake_source.output_schemas #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].snowflake_source.output_schemas[0].columns #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].snowflake_source.output_schemas[0].columns[0].name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].snowflake_source.output_schemas[0].columns[0].type #=> String
resp.job.code_gen_configuration_nodes["NodeId"].snowflake_target.name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].snowflake_target.data.source_type #=> String
resp.job.code_gen_configuration_nodes["NodeId"].snowflake_target.data.connection.value #=> String
resp.job.code_gen_configuration_nodes["NodeId"].snowflake_target.data.connection.label #=> String
resp.job.code_gen_configuration_nodes["NodeId"].snowflake_target.data.connection.description #=> String
resp.job.code_gen_configuration_nodes["NodeId"].snowflake_target.data.schema #=> String
resp.job.code_gen_configuration_nodes["NodeId"].snowflake_target.data.table #=> String
resp.job.code_gen_configuration_nodes["NodeId"].snowflake_target.data.database #=> String
resp.job.code_gen_configuration_nodes["NodeId"].snowflake_target.data.temp_dir #=> String
resp.job.code_gen_configuration_nodes["NodeId"].snowflake_target.data.iam_role.value #=> String
resp.job.code_gen_configuration_nodes["NodeId"].snowflake_target.data.iam_role.label #=> String
resp.job.code_gen_configuration_nodes["NodeId"].snowflake_target.data.iam_role.description #=> String
resp.job.code_gen_configuration_nodes["NodeId"].snowflake_target.data.additional_options #=> Hash
resp.job.code_gen_configuration_nodes["NodeId"].snowflake_target.data.additional_options["EnclosedInStringProperty"] #=> String
resp.job.code_gen_configuration_nodes["NodeId"].snowflake_target.data.sample_query #=> String
resp.job.code_gen_configuration_nodes["NodeId"].snowflake_target.data.pre_action #=> String
resp.job.code_gen_configuration_nodes["NodeId"].snowflake_target.data.post_action #=> String
resp.job.code_gen_configuration_nodes["NodeId"].snowflake_target.data.action #=> String
resp.job.code_gen_configuration_nodes["NodeId"].snowflake_target.data.upsert #=> Boolean
resp.job.code_gen_configuration_nodes["NodeId"].snowflake_target.data.merge_action #=> String
resp.job.code_gen_configuration_nodes["NodeId"].snowflake_target.data.merge_when_matched #=> String
resp.job.code_gen_configuration_nodes["NodeId"].snowflake_target.data.merge_when_not_matched #=> String
resp.job.code_gen_configuration_nodes["NodeId"].snowflake_target.data.merge_clause #=> String
resp.job.code_gen_configuration_nodes["NodeId"].snowflake_target.data.staging_table #=> String
resp.job.code_gen_configuration_nodes["NodeId"].snowflake_target.data.selected_columns #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].snowflake_target.data.selected_columns[0].value #=> String
resp.job.code_gen_configuration_nodes["NodeId"].snowflake_target.data.selected_columns[0].label #=> String
resp.job.code_gen_configuration_nodes["NodeId"].snowflake_target.data.selected_columns[0].description #=> String
resp.job.code_gen_configuration_nodes["NodeId"].snowflake_target.data.auto_pushdown #=> Boolean
resp.job.code_gen_configuration_nodes["NodeId"].snowflake_target.data.table_schema #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].snowflake_target.data.table_schema[0].value #=> String
resp.job.code_gen_configuration_nodes["NodeId"].snowflake_target.data.table_schema[0].label #=> String
resp.job.code_gen_configuration_nodes["NodeId"].snowflake_target.data.table_schema[0].description #=> String
resp.job.code_gen_configuration_nodes["NodeId"].snowflake_target.inputs #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].snowflake_target.inputs[0] #=> String
resp.job.code_gen_configuration_nodes["NodeId"].connector_data_source.name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].connector_data_source.connection_type #=> String
resp.job.code_gen_configuration_nodes["NodeId"].connector_data_source.data #=> Hash
resp.job.code_gen_configuration_nodes["NodeId"].connector_data_source.data["GenericString"] #=> String
resp.job.code_gen_configuration_nodes["NodeId"].connector_data_source.output_schemas #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].connector_data_source.output_schemas[0].columns #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].connector_data_source.output_schemas[0].columns[0].name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].connector_data_source.output_schemas[0].columns[0].type #=> String
resp.job.code_gen_configuration_nodes["NodeId"].connector_data_target.name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].connector_data_target.connection_type #=> String
resp.job.code_gen_configuration_nodes["NodeId"].connector_data_target.data #=> Hash
resp.job.code_gen_configuration_nodes["NodeId"].connector_data_target.data["GenericString"] #=> String
resp.job.code_gen_configuration_nodes["NodeId"].connector_data_target.inputs #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].connector_data_target.inputs[0] #=> String
resp.job.execution_class #=> String, one of "FLEX", "STANDARD"
resp.job.source_control_details.provider #=> String, one of "GITHUB", "GITLAB", "BITBUCKET", "AWS_CODE_COMMIT"
resp.job.source_control_details.repository #=> String
resp.job.source_control_details.owner #=> String
resp.job.source_control_details.branch #=> String
resp.job.source_control_details.folder #=> String
resp.job.source_control_details.last_commit_id #=> String
resp.job.source_control_details.auth_strategy #=> String, one of "PERSONAL_ACCESS_TOKEN", "AWS_SECRETS_MANAGER"
resp.job.source_control_details.auth_token #=> String
resp.job.maintenance_window #=> String
resp.job.profile_name #=> String

Parameters:

• params (Hash) (defaults to: {}) —

  ({})

Options Hash (params):

• :job_name (required, String) —

  The name of the job definition to retrieve.

Returns:

• (Types::GetJobResponse) —

  Returns a response object which responds to the following methods:

  • #job => Types::Job

See Also:

• AWS API Documentation

# File 'lib/aws-sdk-glue/client.rb', line 8399

def get_job(params = {}, options = {})
  req = build_request(:get_job, params)
  req.send_request(options)
end

#get_job_bookmark(params = {}) ⇒ Types::GetJobBookmarkResponse

Returns information on a job bookmark entry.

For more information about enabling and using job bookmarks, see:

• Tracking processed data using job bookmarks][1

• Job parameters used by Glue][2

• Job structure][3

[1]: docs.aws.amazon.com/glue/latest/dg/monitor-continuations.html [2]: docs.aws.amazon.com/glue/latest/dg/aws-glue-programming-etl-glue-arguments.html [3]: docs.aws.amazon.com/glue/latest/dg/aws-glue-api-jobs-job.html#aws-glue-api-jobs-job-Job

Examples:

Request syntax with placeholder values

resp = client.get_job_bookmark({
  job_name: "JobName", # required
  run_id: "RunId",
})

Response structure

resp.job_bookmark_entry.job_name #=> String
resp.job_bookmark_entry.version #=> Integer
resp.job_bookmark_entry.run #=> Integer
resp.job_bookmark_entry.attempt #=> Integer
resp.job_bookmark_entry.previous_run_id #=> String
resp.job_bookmark_entry.run_id #=> String
resp.job_bookmark_entry.job_bookmark #=> String

Parameters:

• params (Hash) (defaults to: {}) —

  ({})

Options Hash (params):

• :job_name (required, String) —

  The name of the job in question.

• :run_id (String) —

  The unique run identifier associated with this job run.

Returns:

• (Types::GetJobBookmarkResponse) —

  Returns a response object which responds to the following methods:

  • #job_bookmark_entry => Types::JobBookmarkEntry

See Also:

• AWS API Documentation

# File 'lib/aws-sdk-glue/client.rb', line 8451

def get_job_bookmark(params = {}, options = {})
  req = build_request(:get_job_bookmark, params)
  req.send_request(options)
end

#get_job_run(params = {}) ⇒ Types::GetJobRunResponse

Retrieves the metadata for a given job run. Job run history is accessible for 90 days for your workflow and job run.

Examples:

Request syntax with placeholder values

resp = client.get_job_run({
  job_name: "NameString", # required
  run_id: "IdString", # required
  predecessors_included: false,
})

Response structure

resp.job_run.id #=> String
resp.job_run.attempt #=> Integer
resp.job_run.previous_run_id #=> String
resp.job_run.trigger_name #=> String
resp.job_run.job_name #=> String
resp.job_run.job_mode #=> String, one of "SCRIPT", "VISUAL", "NOTEBOOK"
resp.job_run.started_on #=> Time
resp.job_run.last_modified_on #=> Time
resp.job_run.completed_on #=> Time
resp.job_run.job_run_state #=> String, one of "STARTING", "RUNNING", "STOPPING", "STOPPED", "SUCCEEDED", "FAILED", "TIMEOUT", "ERROR", "WAITING", "EXPIRED"
resp.job_run.arguments #=> Hash
resp.job_run.arguments["GenericString"] #=> String
resp.job_run.error_message #=> String
resp.job_run.predecessor_runs #=> Array
resp.job_run.predecessor_runs[0].job_name #=> String
resp.job_run.predecessor_runs[0].run_id #=> String
resp.job_run.allocated_capacity #=> Integer
resp.job_run.execution_time #=> Integer
resp.job_run.timeout #=> Integer
resp.job_run.max_capacity #=> Float
resp.job_run.worker_type #=> String, one of "Standard", "G.1X", "G.2X", "G.025X", "G.4X", "G.8X", "Z.2X"
resp.job_run.number_of_workers #=> Integer
resp.job_run.security_configuration #=> String
resp.job_run.log_group_name #=> String
resp.job_run.notification_property.notify_delay_after #=> Integer
resp.job_run.glue_version #=> String
resp.job_run.dpu_seconds #=> Float
resp.job_run.execution_class #=> String, one of "FLEX", "STANDARD"
resp.job_run.maintenance_window #=> String
resp.job_run.profile_name #=> String

Parameters:

• params (Hash) (defaults to: {}) —

  ({})

Options Hash (params):

• :job_name (required, String) —

  Name of the job definition being run.

• :run_id (required, String) —

  The ID of the job run.

• :predecessors_included (Boolean) —

  True if a list of predecessor runs should be returned.

Returns:

• (Types::GetJobRunResponse) —

  Returns a response object which responds to the following methods:

  • #job_run => Types::JobRun

See Also:

• AWS API Documentation

# File 'lib/aws-sdk-glue/client.rb', line 8517

def get_job_run(params = {}, options = {})
  req = build_request(:get_job_run, params)
  req.send_request(options)
end

#get_job_runs(params = {}) ⇒ Types::GetJobRunsResponse

Retrieves metadata for all runs of a given job definition.

The returned response is a pageable response and is Enumerable. For details on usage see PageableResponse.

Examples:

Request syntax with placeholder values

resp = client.get_job_runs({
  job_name: "NameString", # required
  next_token: "GenericString",
  max_results: 1,
})

Response structure

resp.job_runs #=> Array
resp.job_runs[0].id #=> String
resp.job_runs[0].attempt #=> Integer
resp.job_runs[0].previous_run_id #=> String
resp.job_runs[0].trigger_name #=> String
resp.job_runs[0].job_name #=> String
resp.job_runs[0].job_mode #=> String, one of "SCRIPT", "VISUAL", "NOTEBOOK"
resp.job_runs[0].started_on #=> Time
resp.job_runs[0].last_modified_on #=> Time
resp.job_runs[0].completed_on #=> Time
resp.job_runs[0].job_run_state #=> String, one of "STARTING", "RUNNING", "STOPPING", "STOPPED", "SUCCEEDED", "FAILED", "TIMEOUT", "ERROR", "WAITING", "EXPIRED"
resp.job_runs[0].arguments #=> Hash
resp.job_runs[0].arguments["GenericString"] #=> String
resp.job_runs[0].error_message #=> String
resp.job_runs[0].predecessor_runs #=> Array
resp.job_runs[0].predecessor_runs[0].job_name #=> String
resp.job_runs[0].predecessor_runs[0].run_id #=> String
resp.job_runs[0].allocated_capacity #=> Integer
resp.job_runs[0].execution_time #=> Integer
resp.job_runs[0].timeout #=> Integer
resp.job_runs[0].max_capacity #=> Float
resp.job_runs[0].worker_type #=> String, one of "Standard", "G.1X", "G.2X", "G.025X", "G.4X", "G.8X", "Z.2X"
resp.job_runs[0].number_of_workers #=> Integer
resp.job_runs[0].security_configuration #=> String
resp.job_runs[0].log_group_name #=> String
resp.job_runs[0].notification_property.notify_delay_after #=> Integer
resp.job_runs[0].glue_version #=> String
resp.job_runs[0].dpu_seconds #=> Float
resp.job_runs[0].execution_class #=> String, one of "FLEX", "STANDARD"
resp.job_runs[0].maintenance_window #=> String
resp.job_runs[0].profile_name #=> String
resp.next_token #=> String

Parameters:

• params (Hash) (defaults to: {}) —

  ({})

Options Hash (params):

• :job_name (required, String) —

  The name of the job definition for which to retrieve all job runs.

• :next_token (String) —

  A continuation token, if this is a continuation call.

• :max_results (Integer) —

  The maximum size of the response.

Returns:

• (Types::GetJobRunsResponse) —

  Returns a response object which responds to the following methods:

  • #job_runs => Array&lt;Types::JobRun&gt;

  • #next_token => String

See Also:

• AWS API Documentation

# File 'lib/aws-sdk-glue/client.rb', line 8587

def get_job_runs(params = {}, options = {})
  req = build_request(:get_job_runs, params)
  req.send_request(options)
end

#get_jobs(params = {}) ⇒ Types::GetJobsResponse

Retrieves all current job definitions.

The returned response is a pageable response and is Enumerable. For details on usage see PageableResponse.

Examples:

Request syntax with placeholder values

resp = client.get_jobs({
  next_token: "GenericString",
  max_results: 1,
})

Response structure

resp.jobs #=> Array
resp.jobs[0].name #=> String
resp.jobs[0].job_mode #=> String, one of "SCRIPT", "VISUAL", "NOTEBOOK"
resp.jobs[0].description #=> String
resp.jobs[0].log_uri #=> String
resp.jobs[0].role #=> String
resp.jobs[0].created_on #=> Time
resp.jobs[0].last_modified_on #=> Time
resp.jobs[0].execution_property.max_concurrent_runs #=> Integer
resp.jobs[0].command.name #=> String
resp.jobs[0].command.script_location #=> String
resp.jobs[0].command.python_version #=> String
resp.jobs[0].command.runtime #=> String
resp.jobs[0].default_arguments #=> Hash
resp.jobs[0].default_arguments["GenericString"] #=> String
resp.jobs[0].non_overridable_arguments #=> Hash
resp.jobs[0].non_overridable_arguments["GenericString"] #=> String
resp.jobs[0].connections.connections #=> Array
resp.jobs[0].connections.connections[0] #=> String
resp.jobs[0].max_retries #=> Integer
resp.jobs[0].allocated_capacity #=> Integer
resp.jobs[0].timeout #=> Integer
resp.jobs[0].max_capacity #=> Float
resp.jobs[0].worker_type #=> String, one of "Standard", "G.1X", "G.2X", "G.025X", "G.4X", "G.8X", "Z.2X"
resp.jobs[0].number_of_workers #=> Integer
resp.jobs[0].security_configuration #=> String
resp.jobs[0].notification_property.notify_delay_after #=> Integer
resp.jobs[0].glue_version #=> String
resp.jobs[0].code_gen_configuration_nodes #=> Hash
resp.jobs[0].code_gen_configuration_nodes["NodeId"].athena_connector_source.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].athena_connector_source.connection_name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].athena_connector_source.connector_name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].athena_connector_source.connection_type #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].athena_connector_source.connection_table #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].athena_connector_source.schema_name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].athena_connector_source.output_schemas #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].athena_connector_source.output_schemas[0].columns #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].athena_connector_source.output_schemas[0].columns[0].name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].athena_connector_source.output_schemas[0].columns[0].type #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].jdbc_connector_source.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].jdbc_connector_source.connection_name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].jdbc_connector_source.connector_name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].jdbc_connector_source.connection_type #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].jdbc_connector_source.additional_options.filter_predicate #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].jdbc_connector_source.additional_options.partition_column #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].jdbc_connector_source.additional_options.lower_bound #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].jdbc_connector_source.additional_options.upper_bound #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].jdbc_connector_source.additional_options.num_partitions #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].jdbc_connector_source.additional_options.job_bookmark_keys #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].jdbc_connector_source.additional_options.job_bookmark_keys[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].jdbc_connector_source.additional_options.job_bookmark_keys_sort_order #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].jdbc_connector_source.additional_options.data_type_mapping #=> Hash
resp.jobs[0].code_gen_configuration_nodes["NodeId"].jdbc_connector_source.additional_options.data_type_mapping["JDBCDataType"] #=> String, one of "DATE", "STRING", "TIMESTAMP", "INT", "FLOAT", "LONG", "BIGDECIMAL", "BYTE", "SHORT", "DOUBLE"
resp.jobs[0].code_gen_configuration_nodes["NodeId"].jdbc_connector_source.connection_table #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].jdbc_connector_source.query #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].jdbc_connector_source.output_schemas #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].jdbc_connector_source.output_schemas[0].columns #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].jdbc_connector_source.output_schemas[0].columns[0].name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].jdbc_connector_source.output_schemas[0].columns[0].type #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].spark_connector_source.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].spark_connector_source.connection_name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].spark_connector_source.connector_name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].spark_connector_source.connection_type #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].spark_connector_source.additional_options #=> Hash
resp.jobs[0].code_gen_configuration_nodes["NodeId"].spark_connector_source.additional_options["EnclosedInStringProperty"] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].spark_connector_source.output_schemas #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].spark_connector_source.output_schemas[0].columns #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].spark_connector_source.output_schemas[0].columns[0].name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].spark_connector_source.output_schemas[0].columns[0].type #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_source.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_source.database #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_source.table #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].redshift_source.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].redshift_source.database #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].redshift_source.table #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].redshift_source.redshift_tmp_dir #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].redshift_source.tmp_dir_iam_role #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_catalog_source.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_catalog_source.database #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_catalog_source.table #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_catalog_source.partition_predicate #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_catalog_source.additional_options.bounded_size #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_catalog_source.additional_options.bounded_files #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_csv_source.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_csv_source.paths #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_csv_source.paths[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_csv_source.compression_type #=> String, one of "gzip", "bzip2"
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_csv_source.exclusions #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_csv_source.exclusions[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_csv_source.group_size #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_csv_source.group_files #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_csv_source.recurse #=> Boolean
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_csv_source.max_band #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_csv_source.max_files_in_band #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_csv_source.additional_options.bounded_size #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_csv_source.additional_options.bounded_files #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_csv_source.additional_options.enable_sample_path #=> Boolean
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_csv_source.additional_options.sample_path #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_csv_source.separator #=> String, one of "comma", "ctrla", "pipe", "semicolon", "tab"
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_csv_source.escaper #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_csv_source.quote_char #=> String, one of "quote", "quillemet", "single_quote", "disabled"
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_csv_source.multiline #=> Boolean
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_csv_source.with_header #=> Boolean
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_csv_source.write_header #=> Boolean
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_csv_source.skip_first #=> Boolean
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_csv_source.optimize_performance #=> Boolean
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_csv_source.output_schemas #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_csv_source.output_schemas[0].columns #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_csv_source.output_schemas[0].columns[0].name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_csv_source.output_schemas[0].columns[0].type #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_json_source.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_json_source.paths #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_json_source.paths[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_json_source.compression_type #=> String, one of "gzip", "bzip2"
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_json_source.exclusions #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_json_source.exclusions[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_json_source.group_size #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_json_source.group_files #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_json_source.recurse #=> Boolean
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_json_source.max_band #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_json_source.max_files_in_band #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_json_source.additional_options.bounded_size #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_json_source.additional_options.bounded_files #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_json_source.additional_options.enable_sample_path #=> Boolean
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_json_source.additional_options.sample_path #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_json_source.json_path #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_json_source.multiline #=> Boolean
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_json_source.output_schemas #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_json_source.output_schemas[0].columns #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_json_source.output_schemas[0].columns[0].name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_json_source.output_schemas[0].columns[0].type #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_parquet_source.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_parquet_source.paths #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_parquet_source.paths[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_parquet_source.compression_type #=> String, one of "snappy", "lzo", "gzip", "uncompressed", "none"
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_parquet_source.exclusions #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_parquet_source.exclusions[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_parquet_source.group_size #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_parquet_source.group_files #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_parquet_source.recurse #=> Boolean
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_parquet_source.max_band #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_parquet_source.max_files_in_band #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_parquet_source.additional_options.bounded_size #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_parquet_source.additional_options.bounded_files #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_parquet_source.additional_options.enable_sample_path #=> Boolean
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_parquet_source.additional_options.sample_path #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_parquet_source.output_schemas #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_parquet_source.output_schemas[0].columns #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_parquet_source.output_schemas[0].columns[0].name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_parquet_source.output_schemas[0].columns[0].type #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].relational_catalog_source.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].relational_catalog_source.database #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].relational_catalog_source.table #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].dynamo_db_catalog_source.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].dynamo_db_catalog_source.database #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].dynamo_db_catalog_source.table #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].jdbc_connector_target.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].jdbc_connector_target.inputs #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].jdbc_connector_target.inputs[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].jdbc_connector_target.connection_name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].jdbc_connector_target.connection_table #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].jdbc_connector_target.connector_name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].jdbc_connector_target.connection_type #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].jdbc_connector_target.additional_options #=> Hash
resp.jobs[0].code_gen_configuration_nodes["NodeId"].jdbc_connector_target.additional_options["EnclosedInStringProperty"] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].jdbc_connector_target.output_schemas #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].jdbc_connector_target.output_schemas[0].columns #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].jdbc_connector_target.output_schemas[0].columns[0].name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].jdbc_connector_target.output_schemas[0].columns[0].type #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].spark_connector_target.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].spark_connector_target.inputs #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].spark_connector_target.inputs[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].spark_connector_target.connection_name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].spark_connector_target.connector_name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].spark_connector_target.connection_type #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].spark_connector_target.additional_options #=> Hash
resp.jobs[0].code_gen_configuration_nodes["NodeId"].spark_connector_target.additional_options["EnclosedInStringProperty"] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].spark_connector_target.output_schemas #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].spark_connector_target.output_schemas[0].columns #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].spark_connector_target.output_schemas[0].columns[0].name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].spark_connector_target.output_schemas[0].columns[0].type #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_target.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_target.inputs #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_target.inputs[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_target.database #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_target.table #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].redshift_target.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].redshift_target.inputs #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].redshift_target.inputs[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].redshift_target.database #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].redshift_target.table #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].redshift_target.redshift_tmp_dir #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].redshift_target.tmp_dir_iam_role #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].redshift_target.upsert_redshift_options.table_location #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].redshift_target.upsert_redshift_options.connection_name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].redshift_target.upsert_redshift_options.upsert_keys #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].redshift_target.upsert_redshift_options.upsert_keys[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_catalog_target.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_catalog_target.inputs #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_catalog_target.inputs[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_catalog_target.partition_keys #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_catalog_target.partition_keys[0] #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_catalog_target.partition_keys[0][0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_catalog_target.table #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_catalog_target.database #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_catalog_target.schema_change_policy.enable_update_catalog #=> Boolean
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_catalog_target.schema_change_policy.update_behavior #=> String, one of "UPDATE_IN_DATABASE", "LOG"
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_glue_parquet_target.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_glue_parquet_target.inputs #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_glue_parquet_target.inputs[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_glue_parquet_target.partition_keys #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_glue_parquet_target.partition_keys[0] #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_glue_parquet_target.partition_keys[0][0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_glue_parquet_target.path #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_glue_parquet_target.compression #=> String, one of "snappy", "lzo", "gzip", "uncompressed", "none"
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_glue_parquet_target.schema_change_policy.enable_update_catalog #=> Boolean
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_glue_parquet_target.schema_change_policy.update_behavior #=> String, one of "UPDATE_IN_DATABASE", "LOG"
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_glue_parquet_target.schema_change_policy.table #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_glue_parquet_target.schema_change_policy.database #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_direct_target.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_direct_target.inputs #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_direct_target.inputs[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_direct_target.partition_keys #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_direct_target.partition_keys[0] #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_direct_target.partition_keys[0][0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_direct_target.path #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_direct_target.compression #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_direct_target.format #=> String, one of "json", "csv", "avro", "orc", "parquet", "hudi", "delta"
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_direct_target.schema_change_policy.enable_update_catalog #=> Boolean
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_direct_target.schema_change_policy.update_behavior #=> String, one of "UPDATE_IN_DATABASE", "LOG"
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_direct_target.schema_change_policy.table #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_direct_target.schema_change_policy.database #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].apply_mapping.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].apply_mapping.inputs #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].apply_mapping.inputs[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].apply_mapping.mapping #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].apply_mapping.mapping[0].to_key #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].apply_mapping.mapping[0].from_path #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].apply_mapping.mapping[0].from_path[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].apply_mapping.mapping[0].from_type #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].apply_mapping.mapping[0].to_type #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].apply_mapping.mapping[0].dropped #=> Boolean
resp.jobs[0].code_gen_configuration_nodes["NodeId"].apply_mapping.mapping[0].children #=> Types::Mappings
resp.jobs[0].code_gen_configuration_nodes["NodeId"].select_fields.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].select_fields.inputs #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].select_fields.inputs[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].select_fields.paths #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].select_fields.paths[0] #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].select_fields.paths[0][0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].drop_fields.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].drop_fields.inputs #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].drop_fields.inputs[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].drop_fields.paths #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].drop_fields.paths[0] #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].drop_fields.paths[0][0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].rename_field.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].rename_field.inputs #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].rename_field.inputs[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].rename_field.source_path #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].rename_field.source_path[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].rename_field.target_path #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].rename_field.target_path[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].spigot.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].spigot.inputs #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].spigot.inputs[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].spigot.path #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].spigot.topk #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].spigot.prob #=> Float
resp.jobs[0].code_gen_configuration_nodes["NodeId"].join.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].join.inputs #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].join.inputs[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].join.join_type #=> String, one of "equijoin", "left", "right", "outer", "leftsemi", "leftanti"
resp.jobs[0].code_gen_configuration_nodes["NodeId"].join.columns #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].join.columns[0].from #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].join.columns[0].keys #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].join.columns[0].keys[0] #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].join.columns[0].keys[0][0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].split_fields.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].split_fields.inputs #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].split_fields.inputs[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].split_fields.paths #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].split_fields.paths[0] #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].split_fields.paths[0][0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].select_from_collection.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].select_from_collection.inputs #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].select_from_collection.inputs[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].select_from_collection.index #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].fill_missing_values.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].fill_missing_values.inputs #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].fill_missing_values.inputs[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].fill_missing_values.imputed_path #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].fill_missing_values.filled_path #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].filter.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].filter.inputs #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].filter.inputs[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].filter.logical_operator #=> String, one of "AND", "OR"
resp.jobs[0].code_gen_configuration_nodes["NodeId"].filter.filters #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].filter.filters[0].operation #=> String, one of "EQ", "LT", "GT", "LTE", "GTE", "REGEX", "ISNULL"
resp.jobs[0].code_gen_configuration_nodes["NodeId"].filter.filters[0].negated #=> Boolean
resp.jobs[0].code_gen_configuration_nodes["NodeId"].filter.filters[0].values #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].filter.filters[0].values[0].type #=> String, one of "COLUMNEXTRACTED", "CONSTANT"
resp.jobs[0].code_gen_configuration_nodes["NodeId"].filter.filters[0].values[0].value #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].filter.filters[0].values[0].value[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].custom_code.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].custom_code.inputs #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].custom_code.inputs[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].custom_code.code #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].custom_code.class_name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].custom_code.output_schemas #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].custom_code.output_schemas[0].columns #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].custom_code.output_schemas[0].columns[0].name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].custom_code.output_schemas[0].columns[0].type #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].spark_sql.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].spark_sql.inputs #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].spark_sql.inputs[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].spark_sql.sql_query #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].spark_sql.sql_aliases #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].spark_sql.sql_aliases[0].from #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].spark_sql.sql_aliases[0].alias #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].spark_sql.output_schemas #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].spark_sql.output_schemas[0].columns #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].spark_sql.output_schemas[0].columns[0].name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].spark_sql.output_schemas[0].columns[0].type #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].direct_kinesis_source.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].direct_kinesis_source.window_size #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].direct_kinesis_source.detect_schema #=> Boolean
resp.jobs[0].code_gen_configuration_nodes["NodeId"].direct_kinesis_source.streaming_options.endpoint_url #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].direct_kinesis_source.streaming_options.stream_name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].direct_kinesis_source.streaming_options.classification #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].direct_kinesis_source.streaming_options.delimiter #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].direct_kinesis_source.streaming_options.starting_position #=> String, one of "latest", "trim_horizon", "earliest", "timestamp"
resp.jobs[0].code_gen_configuration_nodes["NodeId"].direct_kinesis_source.streaming_options.max_fetch_time_in_ms #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].direct_kinesis_source.streaming_options.max_fetch_records_per_shard #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].direct_kinesis_source.streaming_options.max_record_per_read #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].direct_kinesis_source.streaming_options.add_idle_time_between_reads #=> Boolean
resp.jobs[0].code_gen_configuration_nodes["NodeId"].direct_kinesis_source.streaming_options.idle_time_between_reads_in_ms #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].direct_kinesis_source.streaming_options.describe_shard_interval #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].direct_kinesis_source.streaming_options.num_retries #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].direct_kinesis_source.streaming_options.retry_interval_ms #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].direct_kinesis_source.streaming_options.max_retry_interval_ms #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].direct_kinesis_source.streaming_options.avoid_empty_batches #=> Boolean
resp.jobs[0].code_gen_configuration_nodes["NodeId"].direct_kinesis_source.streaming_options.stream_arn #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].direct_kinesis_source.streaming_options.role_arn #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].direct_kinesis_source.streaming_options.role_session_name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].direct_kinesis_source.streaming_options.add_record_timestamp #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].direct_kinesis_source.streaming_options.emit_consumer_lag_metrics #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].direct_kinesis_source.streaming_options.starting_timestamp #=> Time
resp.jobs[0].code_gen_configuration_nodes["NodeId"].direct_kinesis_source.data_preview_options.polling_time #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].direct_kinesis_source.data_preview_options.record_polling_limit #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].direct_kafka_source.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].direct_kafka_source.streaming_options.bootstrap_servers #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].direct_kafka_source.streaming_options.security_protocol #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].direct_kafka_source.streaming_options.connection_name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].direct_kafka_source.streaming_options.topic_name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].direct_kafka_source.streaming_options.assign #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].direct_kafka_source.streaming_options.subscribe_pattern #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].direct_kafka_source.streaming_options.classification #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].direct_kafka_source.streaming_options.delimiter #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].direct_kafka_source.streaming_options.starting_offsets #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].direct_kafka_source.streaming_options.ending_offsets #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].direct_kafka_source.streaming_options.poll_timeout_ms #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].direct_kafka_source.streaming_options.num_retries #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].direct_kafka_source.streaming_options.retry_interval_ms #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].direct_kafka_source.streaming_options.max_offsets_per_trigger #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].direct_kafka_source.streaming_options.min_partitions #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].direct_kafka_source.streaming_options.include_headers #=> Boolean
resp.jobs[0].code_gen_configuration_nodes["NodeId"].direct_kafka_source.streaming_options.add_record_timestamp #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].direct_kafka_source.streaming_options.emit_consumer_lag_metrics #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].direct_kafka_source.streaming_options.starting_timestamp #=> Time
resp.jobs[0].code_gen_configuration_nodes["NodeId"].direct_kafka_source.window_size #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].direct_kafka_source.detect_schema #=> Boolean
resp.jobs[0].code_gen_configuration_nodes["NodeId"].direct_kafka_source.data_preview_options.polling_time #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].direct_kafka_source.data_preview_options.record_polling_limit #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_kinesis_source.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_kinesis_source.window_size #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_kinesis_source.detect_schema #=> Boolean
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_kinesis_source.table #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_kinesis_source.database #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_kinesis_source.streaming_options.endpoint_url #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_kinesis_source.streaming_options.stream_name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_kinesis_source.streaming_options.classification #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_kinesis_source.streaming_options.delimiter #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_kinesis_source.streaming_options.starting_position #=> String, one of "latest", "trim_horizon", "earliest", "timestamp"
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_kinesis_source.streaming_options.max_fetch_time_in_ms #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_kinesis_source.streaming_options.max_fetch_records_per_shard #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_kinesis_source.streaming_options.max_record_per_read #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_kinesis_source.streaming_options.add_idle_time_between_reads #=> Boolean
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_kinesis_source.streaming_options.idle_time_between_reads_in_ms #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_kinesis_source.streaming_options.describe_shard_interval #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_kinesis_source.streaming_options.num_retries #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_kinesis_source.streaming_options.retry_interval_ms #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_kinesis_source.streaming_options.max_retry_interval_ms #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_kinesis_source.streaming_options.avoid_empty_batches #=> Boolean
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_kinesis_source.streaming_options.stream_arn #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_kinesis_source.streaming_options.role_arn #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_kinesis_source.streaming_options.role_session_name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_kinesis_source.streaming_options.add_record_timestamp #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_kinesis_source.streaming_options.emit_consumer_lag_metrics #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_kinesis_source.streaming_options.starting_timestamp #=> Time
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_kinesis_source.data_preview_options.polling_time #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_kinesis_source.data_preview_options.record_polling_limit #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_kafka_source.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_kafka_source.window_size #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_kafka_source.detect_schema #=> Boolean
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_kafka_source.table #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_kafka_source.database #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_kafka_source.streaming_options.bootstrap_servers #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_kafka_source.streaming_options.security_protocol #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_kafka_source.streaming_options.connection_name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_kafka_source.streaming_options.topic_name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_kafka_source.streaming_options.assign #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_kafka_source.streaming_options.subscribe_pattern #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_kafka_source.streaming_options.classification #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_kafka_source.streaming_options.delimiter #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_kafka_source.streaming_options.starting_offsets #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_kafka_source.streaming_options.ending_offsets #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_kafka_source.streaming_options.poll_timeout_ms #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_kafka_source.streaming_options.num_retries #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_kafka_source.streaming_options.retry_interval_ms #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_kafka_source.streaming_options.max_offsets_per_trigger #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_kafka_source.streaming_options.min_partitions #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_kafka_source.streaming_options.include_headers #=> Boolean
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_kafka_source.streaming_options.add_record_timestamp #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_kafka_source.streaming_options.emit_consumer_lag_metrics #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_kafka_source.streaming_options.starting_timestamp #=> Time
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_kafka_source.data_preview_options.polling_time #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_kafka_source.data_preview_options.record_polling_limit #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].drop_null_fields.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].drop_null_fields.inputs #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].drop_null_fields.inputs[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].drop_null_fields.null_check_box_list.is_empty #=> Boolean
resp.jobs[0].code_gen_configuration_nodes["NodeId"].drop_null_fields.null_check_box_list.is_null_string #=> Boolean
resp.jobs[0].code_gen_configuration_nodes["NodeId"].drop_null_fields.null_check_box_list.is_neg_one #=> Boolean
resp.jobs[0].code_gen_configuration_nodes["NodeId"].drop_null_fields.null_text_list #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].drop_null_fields.null_text_list[0].value #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].drop_null_fields.null_text_list[0].datatype.id #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].drop_null_fields.null_text_list[0].datatype.label #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].merge.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].merge.inputs #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].merge.inputs[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].merge.source #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].merge.primary_keys #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].merge.primary_keys[0] #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].merge.primary_keys[0][0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].union.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].union.inputs #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].union.inputs[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].union.union_type #=> String, one of "ALL", "DISTINCT"
resp.jobs[0].code_gen_configuration_nodes["NodeId"].pii_detection.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].pii_detection.inputs #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].pii_detection.inputs[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].pii_detection.pii_type #=> String, one of "RowAudit", "RowMasking", "ColumnAudit", "ColumnMasking"
resp.jobs[0].code_gen_configuration_nodes["NodeId"].pii_detection.entity_types_to_detect #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].pii_detection.entity_types_to_detect[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].pii_detection.output_column_name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].pii_detection.sample_fraction #=> Float
resp.jobs[0].code_gen_configuration_nodes["NodeId"].pii_detection.threshold_fraction #=> Float
resp.jobs[0].code_gen_configuration_nodes["NodeId"].pii_detection.mask_value #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].aggregate.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].aggregate.inputs #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].aggregate.inputs[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].aggregate.groups #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].aggregate.groups[0] #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].aggregate.groups[0][0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].aggregate.aggs #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].aggregate.aggs[0].column #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].aggregate.aggs[0].column[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].aggregate.aggs[0].agg_func #=> String, one of "avg", "countDistinct", "count", "first", "last", "kurtosis", "max", "min", "skewness", "stddev_samp", "stddev_pop", "sum", "sumDistinct", "var_samp", "var_pop"
resp.jobs[0].code_gen_configuration_nodes["NodeId"].drop_duplicates.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].drop_duplicates.inputs #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].drop_duplicates.inputs[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].drop_duplicates.columns #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].drop_duplicates.columns[0] #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].drop_duplicates.columns[0][0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].governed_catalog_target.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].governed_catalog_target.inputs #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].governed_catalog_target.inputs[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].governed_catalog_target.partition_keys #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].governed_catalog_target.partition_keys[0] #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].governed_catalog_target.partition_keys[0][0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].governed_catalog_target.table #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].governed_catalog_target.database #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].governed_catalog_target.schema_change_policy.enable_update_catalog #=> Boolean
resp.jobs[0].code_gen_configuration_nodes["NodeId"].governed_catalog_target.schema_change_policy.update_behavior #=> String, one of "UPDATE_IN_DATABASE", "LOG"
resp.jobs[0].code_gen_configuration_nodes["NodeId"].governed_catalog_source.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].governed_catalog_source.database #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].governed_catalog_source.table #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].governed_catalog_source.partition_predicate #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].governed_catalog_source.additional_options.bounded_size #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].governed_catalog_source.additional_options.bounded_files #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].microsoft_sql_server_catalog_source.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].microsoft_sql_server_catalog_source.database #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].microsoft_sql_server_catalog_source.table #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].my_sql_catalog_source.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].my_sql_catalog_source.database #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].my_sql_catalog_source.table #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].oracle_sql_catalog_source.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].oracle_sql_catalog_source.database #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].oracle_sql_catalog_source.table #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].postgre_sql_catalog_source.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].postgre_sql_catalog_source.database #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].postgre_sql_catalog_source.table #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].microsoft_sql_server_catalog_target.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].microsoft_sql_server_catalog_target.inputs #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].microsoft_sql_server_catalog_target.inputs[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].microsoft_sql_server_catalog_target.database #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].microsoft_sql_server_catalog_target.table #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].my_sql_catalog_target.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].my_sql_catalog_target.inputs #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].my_sql_catalog_target.inputs[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].my_sql_catalog_target.database #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].my_sql_catalog_target.table #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].oracle_sql_catalog_target.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].oracle_sql_catalog_target.inputs #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].oracle_sql_catalog_target.inputs[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].oracle_sql_catalog_target.database #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].oracle_sql_catalog_target.table #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].postgre_sql_catalog_target.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].postgre_sql_catalog_target.inputs #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].postgre_sql_catalog_target.inputs[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].postgre_sql_catalog_target.database #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].postgre_sql_catalog_target.table #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].dynamic_transform.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].dynamic_transform.transform_name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].dynamic_transform.inputs #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].dynamic_transform.inputs[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].dynamic_transform.parameters #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].dynamic_transform.parameters[0].name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].dynamic_transform.parameters[0].type #=> String, one of "str", "int", "float", "complex", "bool", "list", "null"
resp.jobs[0].code_gen_configuration_nodes["NodeId"].dynamic_transform.parameters[0].validation_rule #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].dynamic_transform.parameters[0].validation_message #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].dynamic_transform.parameters[0].value #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].dynamic_transform.parameters[0].value[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].dynamic_transform.parameters[0].list_type #=> String, one of "str", "int", "float", "complex", "bool", "list", "null"
resp.jobs[0].code_gen_configuration_nodes["NodeId"].dynamic_transform.parameters[0].is_optional #=> Boolean
resp.jobs[0].code_gen_configuration_nodes["NodeId"].dynamic_transform.function_name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].dynamic_transform.path #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].dynamic_transform.version #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].dynamic_transform.output_schemas #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].dynamic_transform.output_schemas[0].columns #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].dynamic_transform.output_schemas[0].columns[0].name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].dynamic_transform.output_schemas[0].columns[0].type #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].evaluate_data_quality.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].evaluate_data_quality.inputs #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].evaluate_data_quality.inputs[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].evaluate_data_quality.ruleset #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].evaluate_data_quality.output #=> String, one of "PrimaryInput", "EvaluationResults"
resp.jobs[0].code_gen_configuration_nodes["NodeId"].evaluate_data_quality.publishing_options.evaluation_context #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].evaluate_data_quality.publishing_options.results_s3_prefix #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].evaluate_data_quality.publishing_options.cloud_watch_metrics_enabled #=> Boolean
resp.jobs[0].code_gen_configuration_nodes["NodeId"].evaluate_data_quality.publishing_options.results_publishing_enabled #=> Boolean
resp.jobs[0].code_gen_configuration_nodes["NodeId"].evaluate_data_quality.stop_job_on_failure_options.stop_job_on_failure_timing #=> String, one of "Immediate", "AfterDataLoad"
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_catalog_hudi_source.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_catalog_hudi_source.database #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_catalog_hudi_source.table #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_catalog_hudi_source.additional_hudi_options #=> Hash
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_catalog_hudi_source.additional_hudi_options["EnclosedInStringProperty"] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_catalog_hudi_source.output_schemas #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_catalog_hudi_source.output_schemas[0].columns #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_catalog_hudi_source.output_schemas[0].columns[0].name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_catalog_hudi_source.output_schemas[0].columns[0].type #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_hudi_source.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_hudi_source.database #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_hudi_source.table #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_hudi_source.additional_hudi_options #=> Hash
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_hudi_source.additional_hudi_options["EnclosedInStringProperty"] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_hudi_source.output_schemas #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_hudi_source.output_schemas[0].columns #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_hudi_source.output_schemas[0].columns[0].name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_hudi_source.output_schemas[0].columns[0].type #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_hudi_source.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_hudi_source.paths #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_hudi_source.paths[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_hudi_source.additional_hudi_options #=> Hash
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_hudi_source.additional_hudi_options["EnclosedInStringProperty"] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_hudi_source.additional_options.bounded_size #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_hudi_source.additional_options.bounded_files #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_hudi_source.additional_options.enable_sample_path #=> Boolean
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_hudi_source.additional_options.sample_path #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_hudi_source.output_schemas #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_hudi_source.output_schemas[0].columns #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_hudi_source.output_schemas[0].columns[0].name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_hudi_source.output_schemas[0].columns[0].type #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_hudi_catalog_target.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_hudi_catalog_target.inputs #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_hudi_catalog_target.inputs[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_hudi_catalog_target.partition_keys #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_hudi_catalog_target.partition_keys[0] #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_hudi_catalog_target.partition_keys[0][0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_hudi_catalog_target.table #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_hudi_catalog_target.database #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_hudi_catalog_target.additional_options #=> Hash
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_hudi_catalog_target.additional_options["EnclosedInStringProperty"] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_hudi_catalog_target.schema_change_policy.enable_update_catalog #=> Boolean
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_hudi_catalog_target.schema_change_policy.update_behavior #=> String, one of "UPDATE_IN_DATABASE", "LOG"
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_hudi_direct_target.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_hudi_direct_target.inputs #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_hudi_direct_target.inputs[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_hudi_direct_target.path #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_hudi_direct_target.compression #=> String, one of "gzip", "lzo", "uncompressed", "snappy"
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_hudi_direct_target.partition_keys #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_hudi_direct_target.partition_keys[0] #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_hudi_direct_target.partition_keys[0][0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_hudi_direct_target.format #=> String, one of "json", "csv", "avro", "orc", "parquet", "hudi", "delta"
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_hudi_direct_target.additional_options #=> Hash
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_hudi_direct_target.additional_options["EnclosedInStringProperty"] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_hudi_direct_target.schema_change_policy.enable_update_catalog #=> Boolean
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_hudi_direct_target.schema_change_policy.update_behavior #=> String, one of "UPDATE_IN_DATABASE", "LOG"
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_hudi_direct_target.schema_change_policy.table #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_hudi_direct_target.schema_change_policy.database #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].direct_jdbc_source.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].direct_jdbc_source.database #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].direct_jdbc_source.table #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].direct_jdbc_source.connection_name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].direct_jdbc_source.connection_type #=> String, one of "sqlserver", "mysql", "oracle", "postgresql", "redshift"
resp.jobs[0].code_gen_configuration_nodes["NodeId"].direct_jdbc_source.redshift_tmp_dir #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_catalog_delta_source.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_catalog_delta_source.database #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_catalog_delta_source.table #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_catalog_delta_source.additional_delta_options #=> Hash
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_catalog_delta_source.additional_delta_options["EnclosedInStringProperty"] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_catalog_delta_source.output_schemas #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_catalog_delta_source.output_schemas[0].columns #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_catalog_delta_source.output_schemas[0].columns[0].name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_catalog_delta_source.output_schemas[0].columns[0].type #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_delta_source.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_delta_source.database #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_delta_source.table #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_delta_source.additional_delta_options #=> Hash
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_delta_source.additional_delta_options["EnclosedInStringProperty"] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_delta_source.output_schemas #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_delta_source.output_schemas[0].columns #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_delta_source.output_schemas[0].columns[0].name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_delta_source.output_schemas[0].columns[0].type #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_delta_source.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_delta_source.paths #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_delta_source.paths[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_delta_source.additional_delta_options #=> Hash
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_delta_source.additional_delta_options["EnclosedInStringProperty"] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_delta_source.additional_options.bounded_size #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_delta_source.additional_options.bounded_files #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_delta_source.additional_options.enable_sample_path #=> Boolean
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_delta_source.additional_options.sample_path #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_delta_source.output_schemas #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_delta_source.output_schemas[0].columns #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_delta_source.output_schemas[0].columns[0].name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_delta_source.output_schemas[0].columns[0].type #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_delta_catalog_target.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_delta_catalog_target.inputs #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_delta_catalog_target.inputs[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_delta_catalog_target.partition_keys #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_delta_catalog_target.partition_keys[0] #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_delta_catalog_target.partition_keys[0][0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_delta_catalog_target.table #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_delta_catalog_target.database #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_delta_catalog_target.additional_options #=> Hash
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_delta_catalog_target.additional_options["EnclosedInStringProperty"] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_delta_catalog_target.schema_change_policy.enable_update_catalog #=> Boolean
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_delta_catalog_target.schema_change_policy.update_behavior #=> String, one of "UPDATE_IN_DATABASE", "LOG"
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_delta_direct_target.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_delta_direct_target.inputs #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_delta_direct_target.inputs[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_delta_direct_target.partition_keys #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_delta_direct_target.partition_keys[0] #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_delta_direct_target.partition_keys[0][0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_delta_direct_target.path #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_delta_direct_target.compression #=> String, one of "uncompressed", "snappy"
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_delta_direct_target.format #=> String, one of "json", "csv", "avro", "orc", "parquet", "hudi", "delta"
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_delta_direct_target.additional_options #=> Hash
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_delta_direct_target.additional_options["EnclosedInStringProperty"] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_delta_direct_target.schema_change_policy.enable_update_catalog #=> Boolean
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_delta_direct_target.schema_change_policy.update_behavior #=> String, one of "UPDATE_IN_DATABASE", "LOG"
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_delta_direct_target.schema_change_policy.table #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_delta_direct_target.schema_change_policy.database #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_source.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.access_type #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.source_type #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.connection.value #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.connection.label #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.connection.description #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.schema.value #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.schema.label #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.schema.description #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.table.value #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.table.label #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.table.description #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.catalog_database.value #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.catalog_database.label #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.catalog_database.description #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.catalog_table.value #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.catalog_table.label #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.catalog_table.description #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.catalog_redshift_schema #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.catalog_redshift_table #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.temp_dir #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.iam_role.value #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.iam_role.label #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.iam_role.description #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.advanced_options #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.advanced_options[0].key #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.advanced_options[0].value #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.sample_query #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.pre_action #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.post_action #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.action #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.table_prefix #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.upsert #=> Boolean
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.merge_action #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.merge_when_matched #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.merge_when_not_matched #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.merge_clause #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.crawler_connection #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.table_schema #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.table_schema[0].value #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.table_schema[0].label #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.table_schema[0].description #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.staging_table #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.selected_columns #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.selected_columns[0].value #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.selected_columns[0].label #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.selected_columns[0].description #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_target.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.access_type #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.source_type #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.connection.value #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.connection.label #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.connection.description #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.schema.value #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.schema.label #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.schema.description #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.table.value #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.table.label #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.table.description #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.catalog_database.value #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.catalog_database.label #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.catalog_database.description #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.catalog_table.value #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.catalog_table.label #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.catalog_table.description #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.catalog_redshift_schema #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.catalog_redshift_table #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.temp_dir #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.iam_role.value #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.iam_role.label #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.iam_role.description #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.advanced_options #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.advanced_options[0].key #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.advanced_options[0].value #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.sample_query #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.pre_action #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.post_action #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.action #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.table_prefix #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.upsert #=> Boolean
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.merge_action #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.merge_when_matched #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.merge_when_not_matched #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.merge_clause #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.crawler_connection #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.table_schema #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.table_schema[0].value #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.table_schema[0].label #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.table_schema[0].description #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.staging_table #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.selected_columns #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.selected_columns[0].value #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.selected_columns[0].label #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.selected_columns[0].description #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_target.inputs #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_target.inputs[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].evaluate_data_quality_multi_frame.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].evaluate_data_quality_multi_frame.inputs #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].evaluate_data_quality_multi_frame.inputs[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].evaluate_data_quality_multi_frame.additional_data_sources #=> Hash
resp.jobs[0].code_gen_configuration_nodes["NodeId"].evaluate_data_quality_multi_frame.additional_data_sources["NodeName"] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].evaluate_data_quality_multi_frame.ruleset #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].evaluate_data_quality_multi_frame.publishing_options.evaluation_context #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].evaluate_data_quality_multi_frame.publishing_options.results_s3_prefix #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].evaluate_data_quality_multi_frame.publishing_options.cloud_watch_metrics_enabled #=> Boolean
resp.jobs[0].code_gen_configuration_nodes["NodeId"].evaluate_data_quality_multi_frame.publishing_options.results_publishing_enabled #=> Boolean
resp.jobs[0].code_gen_configuration_nodes["NodeId"].evaluate_data_quality_multi_frame.additional_options #=> Hash
resp.jobs[0].code_gen_configuration_nodes["NodeId"].evaluate_data_quality_multi_frame.additional_options["AdditionalOptionKeys"] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].evaluate_data_quality_multi_frame.stop_job_on_failure_options.stop_job_on_failure_timing #=> String, one of "Immediate", "AfterDataLoad"
resp.jobs[0].code_gen_configuration_nodes["NodeId"].recipe.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].recipe.inputs #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].recipe.inputs[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].recipe.recipe_reference.recipe_arn #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].recipe.recipe_reference.recipe_version #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_source.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_source.data.source_type #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_source.data.connection.value #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_source.data.connection.label #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_source.data.connection.description #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_source.data.schema #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_source.data.table #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_source.data.database #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_source.data.temp_dir #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_source.data.iam_role.value #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_source.data.iam_role.label #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_source.data.iam_role.description #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_source.data.additional_options #=> Hash
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_source.data.additional_options["EnclosedInStringProperty"] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_source.data.sample_query #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_source.data.pre_action #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_source.data.post_action #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_source.data.action #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_source.data.upsert #=> Boolean
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_source.data.merge_action #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_source.data.merge_when_matched #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_source.data.merge_when_not_matched #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_source.data.merge_clause #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_source.data.staging_table #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_source.data.selected_columns #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_source.data.selected_columns[0].value #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_source.data.selected_columns[0].label #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_source.data.selected_columns[0].description #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_source.data.auto_pushdown #=> Boolean
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_source.data.table_schema #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_source.data.table_schema[0].value #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_source.data.table_schema[0].label #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_source.data.table_schema[0].description #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_source.output_schemas #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_source.output_schemas[0].columns #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_source.output_schemas[0].columns[0].name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_source.output_schemas[0].columns[0].type #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_target.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_target.data.source_type #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_target.data.connection.value #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_target.data.connection.label #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_target.data.connection.description #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_target.data.schema #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_target.data.table #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_target.data.database #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_target.data.temp_dir #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_target.data.iam_role.value #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_target.data.iam_role.label #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_target.data.iam_role.description #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_target.data.additional_options #=> Hash
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_target.data.additional_options["EnclosedInStringProperty"] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_target.data.sample_query #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_target.data.pre_action #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_target.data.post_action #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_target.data.action #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_target.data.upsert #=> Boolean
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_target.data.merge_action #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_target.data.merge_when_matched #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_target.data.merge_when_not_matched #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_target.data.merge_clause #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_target.data.staging_table #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_target.data.selected_columns #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_target.data.selected_columns[0].value #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_target.data.selected_columns[0].label #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_target.data.selected_columns[0].description #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_target.data.auto_pushdown #=> Boolean
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_target.data.table_schema #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_target.data.table_schema[0].value #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_target.data.table_schema[0].label #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_target.data.table_schema[0].description #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_target.inputs #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_target.inputs[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].connector_data_source.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].connector_data_source.connection_type #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].connector_data_source.data #=> Hash
resp.jobs[0].code_gen_configuration_nodes["NodeId"].connector_data_source.data["GenericString"] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].connector_data_source.output_schemas #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].connector_data_source.output_schemas[0].columns #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].connector_data_source.output_schemas[0].columns[0].name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].connector_data_source.output_schemas[0].columns[0].type #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].connector_data_target.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].connector_data_target.connection_type #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].connector_data_target.data #=> Hash
resp.jobs[0].code_gen_configuration_nodes["NodeId"].connector_data_target.data["GenericString"] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].connector_data_target.inputs #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].connector_data_target.inputs[0] #=> String
resp.jobs[0].execution_class #=> String, one of "FLEX", "STANDARD"
resp.jobs[0].source_control_details.provider #=> String, one of "GITHUB", "GITLAB", "BITBUCKET", "AWS_CODE_COMMIT"
resp.jobs[0].source_control_details.repository #=> String
resp.jobs[0].source_control_details.owner #=> String
resp.jobs[0].source_control_details.branch #=> String
resp.jobs[0].source_control_details.folder #=> String
resp.jobs[0].source_control_details.last_commit_id #=> String
resp.jobs[0].source_control_details.auth_strategy #=> String, one of "PERSONAL_ACCESS_TOKEN", "AWS_SECRETS_MANAGER"
resp.jobs[0].source_control_details.auth_token #=> String
resp.jobs[0].maintenance_window #=> String
resp.jobs[0].profile_name #=> String
resp.next_token #=> String

Parameters:

• params (Hash) (defaults to: {}) —

  ({})

Options Hash (params):

• :next_token (String) —

  A continuation token, if this is a continuation call.

• :max_results (Integer) —

  The maximum size of the response.

Returns:

• (Types::GetJobsResponse) —

  Returns a response object which responds to the following methods:

  • #jobs => Array&lt;Types::Job&gt;

  • #next_token => String

See Also:

• AWS API Documentation

# File 'lib/aws-sdk-glue/client.rb', line 9507

def get_jobs(params = {}, options = {})
  req = build_request(:get_jobs, params)
  req.send_request(options)
end

#get_mapping(params = {}) ⇒ Types::GetMappingResponse

Creates mappings.

Examples:

Request syntax with placeholder values

resp = client.get_mapping({
  source: { # required
    database_name: "NameString", # required
    table_name: "NameString", # required
  },
  sinks: [
    {
      database_name: "NameString", # required
      table_name: "NameString", # required
    },
  ],
  location: {
    jdbc: [
      {
        name: "CodeGenArgName", # required
        value: "CodeGenArgValue", # required
        param: false,
      },
    ],
    s3: [
      {
        name: "CodeGenArgName", # required
        value: "CodeGenArgValue", # required
        param: false,
      },
    ],
    dynamo_db: [
      {
        name: "CodeGenArgName", # required
        value: "CodeGenArgValue", # required
        param: false,
      },
    ],
  },
})

Response structure

resp.mapping #=> Array
resp.mapping[0].source_table #=> String
resp.mapping[0].source_path #=> String
resp.mapping[0].source_type #=> String
resp.mapping[0].target_table #=> String
resp.mapping[0].target_path #=> String
resp.mapping[0].target_type #=> String

Parameters:

• params (Hash) (defaults to: {}) —

  ({})

Options Hash (params):

• :source (required, Types::CatalogEntry) —

  Specifies the source table.

• :sinks (Array<Types::CatalogEntry>) —

  A list of target tables.

• :location (Types::Location) —

  Parameters for the mapping.

Returns:

• (Types::GetMappingResponse) —

  Returns a response object which responds to the following methods:

  • #mapping => Array&lt;Types::MappingEntry&gt;

See Also:

• AWS API Documentation

# File 'lib/aws-sdk-glue/client.rb', line 9928

def get_mapping(params = {}, options = {})
  req = build_request(:get_mapping, params)
  req.send_request(options)
end

#get_ml_task_run(params = {}) ⇒ Types::GetMLTaskRunResponse

Gets details for a specific task run on a machine learning transform. Machine learning task runs are asynchronous tasks that Glue runs on your behalf as part of various machine learning workflows. You can check the stats of any task run by calling ‘GetMLTaskRun` with the `TaskRunID` and its parent transform’s ‘TransformID`.

Examples:

Request syntax with placeholder values

resp = client.get_ml_task_run({
  transform_id: "HashString", # required
  task_run_id: "HashString", # required
})

Response structure

resp.transform_id #=> String
resp.task_run_id #=> String
resp.status #=> String, one of "STARTING", "RUNNING", "STOPPING", "STOPPED", "SUCCEEDED", "FAILED", "TIMEOUT"
resp.log_group_name #=> String
resp.properties.task_type #=> String, one of "EVALUATION", "LABELING_SET_GENERATION", "IMPORT_LABELS", "EXPORT_LABELS", "FIND_MATCHES"
resp.properties.import_labels_task_run_properties.input_s3_path #=> String
resp.properties.import_labels_task_run_properties.replace #=> Boolean
resp.properties.export_labels_task_run_properties.output_s3_path #=> String
resp.properties.labeling_set_generation_task_run_properties.output_s3_path #=> String
resp.properties.find_matches_task_run_properties.job_id #=> String
resp.properties.find_matches_task_run_properties.job_name #=> String
resp.properties.find_matches_task_run_properties.job_run_id #=> String
resp.error_string #=> String
resp.started_on #=> Time
resp.last_modified_on #=> Time
resp.completed_on #=> Time
resp.execution_time #=> Integer

Parameters:

• params (Hash) (defaults to: {}) —

  ({})

Options Hash (params):

• :transform_id (required, String) —

  The unique identifier of the machine learning transform.

• :task_run_id (required, String) —

  The unique identifier of the task run.

Returns:

• (Types::GetMLTaskRunResponse) —

  Returns a response object which responds to the following methods:

  • #transform_id => String

  • #task_run_id => String

  • #status => String

  • #log_group_name => String

  • #properties => Types::TaskRunProperties

  • #error_string => String

  • #started_on => Time

  • #last_modified_on => Time

  • #completed_on => Time

  • #execution_time => Integer

See Also:

• AWS API Documentation

# File 'lib/aws-sdk-glue/client.rb', line 9568

def get_ml_task_run(params = {}, options = {})
  req = build_request(:get_ml_task_run, params)
  req.send_request(options)
end

#get_ml_task_runs(params = {}) ⇒ Types::GetMLTaskRunsResponse

Gets a list of runs for a machine learning transform. Machine learning task runs are asynchronous tasks that Glue runs on your behalf as part of various machine learning workflows. You can get a sortable, filterable list of machine learning task runs by calling ‘GetMLTaskRuns` with their parent transform’s ‘TransformID` and other optional parameters as documented in this section.

This operation returns a list of historic runs and must be paginated.

The returned response is a pageable response and is Enumerable. For details on usage see PageableResponse.

Examples:

Request syntax with placeholder values

resp = client.get_ml_task_runs({
  transform_id: "HashString", # required
  next_token: "PaginationToken",
  max_results: 1,
  filter: {
    task_run_type: "EVALUATION", # accepts EVALUATION, LABELING_SET_GENERATION, IMPORT_LABELS, EXPORT_LABELS, FIND_MATCHES
    status: "STARTING", # accepts STARTING, RUNNING, STOPPING, STOPPED, SUCCEEDED, FAILED, TIMEOUT
    started_before: Time.now,
    started_after: Time.now,
  },
  sort: {
    column: "TASK_RUN_TYPE", # required, accepts TASK_RUN_TYPE, STATUS, STARTED
    sort_direction: "DESCENDING", # required, accepts DESCENDING, ASCENDING
  },
})

Response structure

resp.task_runs #=> Array
resp.task_runs[0].transform_id #=> String
resp.task_runs[0].task_run_id #=> String
resp.task_runs[0].status #=> String, one of "STARTING", "RUNNING", "STOPPING", "STOPPED", "SUCCEEDED", "FAILED", "TIMEOUT"
resp.task_runs[0].log_group_name #=> String
resp.task_runs[0].properties.task_type #=> String, one of "EVALUATION", "LABELING_SET_GENERATION", "IMPORT_LABELS", "EXPORT_LABELS", "FIND_MATCHES"
resp.task_runs[0].properties.import_labels_task_run_properties.input_s3_path #=> String
resp.task_runs[0].properties.import_labels_task_run_properties.replace #=> Boolean
resp.task_runs[0].properties.export_labels_task_run_properties.output_s3_path #=> String
resp.task_runs[0].properties.labeling_set_generation_task_run_properties.output_s3_path #=> String
resp.task_runs[0].properties.find_matches_task_run_properties.job_id #=> String
resp.task_runs[0].properties.find_matches_task_run_properties.job_name #=> String
resp.task_runs[0].properties.find_matches_task_run_properties.job_run_id #=> String
resp.task_runs[0].error_string #=> String
resp.task_runs[0].started_on #=> Time
resp.task_runs[0].last_modified_on #=> Time
resp.task_runs[0].completed_on #=> Time
resp.task_runs[0].execution_time #=> Integer
resp.next_token #=> String

Parameters:

• params (Hash) (defaults to: {}) —

  ({})

Options Hash (params):

• :transform_id (required, String) —

  The unique identifier of the machine learning transform.

• :next_token (String) —

  A token for pagination of the results. The default is empty.

• :max_results (Integer) —

  The maximum number of results to return.

• :filter (Types::TaskRunFilterCriteria) —

  The filter criteria, in the ‘TaskRunFilterCriteria` structure, for the task run.

• :sort (Types::TaskRunSortCriteria) —

  The sorting criteria, in the ‘TaskRunSortCriteria` structure, for the task run.

Returns:

• (Types::GetMLTaskRunsResponse) —

  Returns a response object which responds to the following methods:

  • #task_runs => Array&lt;Types::TaskRun&gt;

  • #next_token => String

See Also:

• AWS API Documentation

# File 'lib/aws-sdk-glue/client.rb', line 9650

def get_ml_task_runs(params = {}, options = {})
  req = build_request(:get_ml_task_runs, params)
  req.send_request(options)
end

#get_ml_transform(params = {}) ⇒ Types::GetMLTransformResponse

Gets an Glue machine learning transform artifact and all its corresponding metadata. Machine learning transforms are a special type of transform that use machine learning to learn the details of the transformation to be performed by learning from examples provided by humans. These transformations are then saved by Glue. You can retrieve their metadata by calling ‘GetMLTransform`.

Examples:

Request syntax with placeholder values

resp = client.get_ml_transform({
  transform_id: "HashString", # required
})

Response structure

resp.transform_id #=> String
resp.name #=> String
resp.description #=> String
resp.status #=> String, one of "NOT_READY", "READY", "DELETING"
resp.created_on #=> Time
resp.last_modified_on #=> Time
resp.input_record_tables #=> Array
resp.input_record_tables[0].database_name #=> String
resp.input_record_tables[0].table_name #=> String
resp.input_record_tables[0].catalog_id #=> String
resp.input_record_tables[0].connection_name #=> String
resp.input_record_tables[0].additional_options #=> Hash
resp.input_record_tables[0].additional_options["NameString"] #=> String
resp.parameters.transform_type #=> String, one of "FIND_MATCHES"
resp.parameters.find_matches_parameters.primary_key_column_name #=> String
resp.parameters.find_matches_parameters.precision_recall_tradeoff #=> Float
resp.parameters.find_matches_parameters.accuracy_cost_tradeoff #=> Float
resp.parameters.find_matches_parameters.enforce_provided_labels #=> Boolean
resp.evaluation_metrics.transform_type #=> String, one of "FIND_MATCHES"
resp.evaluation_metrics.find_matches_metrics.area_under_pr_curve #=> Float
resp.evaluation_metrics.find_matches_metrics.precision #=> Float
resp.evaluation_metrics.find_matches_metrics.recall #=> Float
resp.evaluation_metrics.find_matches_metrics.f1 #=> Float
resp.evaluation_metrics.find_matches_metrics.confusion_matrix.num_true_positives #=> Integer
resp.evaluation_metrics.find_matches_metrics.confusion_matrix.num_false_positives #=> Integer
resp.evaluation_metrics.find_matches_metrics.confusion_matrix.num_true_negatives #=> Integer
resp.evaluation_metrics.find_matches_metrics.confusion_matrix.num_false_negatives #=> Integer
resp.evaluation_metrics.find_matches_metrics.column_importances #=> Array
resp.evaluation_metrics.find_matches_metrics.column_importances[0].column_name #=> String
resp.evaluation_metrics.find_matches_metrics.column_importances[0].importance #=> Float
resp.label_count #=> Integer
resp.schema #=> Array
resp.schema[0].name #=> String
resp.schema[0].data_type #=> String
resp.role #=> String
resp.glue_version #=> String
resp.max_capacity #=> Float
resp.worker_type #=> String, one of "Standard", "G.1X", "G.2X", "G.025X", "G.4X", "G.8X", "Z.2X"
resp.number_of_workers #=> Integer
resp.timeout #=> Integer
resp.max_retries #=> Integer
resp.transform_encryption.ml_user_data_encryption.ml_user_data_encryption_mode #=> String, one of "DISABLED", "SSE-KMS"
resp.transform_encryption.ml_user_data_encryption.kms_key_id #=> String
resp.transform_encryption.task_run_security_configuration_name #=> String

Parameters:

• params (Hash) (defaults to: {}) —

  ({})

Options Hash (params):

• :transform_id (required, String) —

  The unique identifier of the transform, generated at the time that the transform was created.

Returns:

• (Types::GetMLTransformResponse) —

  Returns a response object which responds to the following methods:

  • #transform_id => String

  • #name => String

  • #description => String

  • #status => String

  • #created_on => Time

  • #last_modified_on => Time

  • #input_record_tables => Array&lt;Types::GlueTable&gt;

  • #parameters => Types::TransformParameters

  • #evaluation_metrics => Types::EvaluationMetrics

  • #label_count => Integer

  • #schema => Array&lt;Types::SchemaColumn&gt;

  • #role => String

  • #glue_version => String

  • #max_capacity => Float

  • #worker_type => String

  • #number_of_workers => Integer

  • #timeout => Integer

  • #max_retries => Integer

  • #transform_encryption => Types::TransformEncryption

See Also:

• AWS API Documentation

# File 'lib/aws-sdk-glue/client.rb', line 9745

def get_ml_transform(params = {}, options = {})
  req = build_request(:get_ml_transform, params)
  req.send_request(options)
end

#get_ml_transforms(params = {}) ⇒ Types::GetMLTransformsResponse

Gets a sortable, filterable list of existing Glue machine learning transforms. Machine learning transforms are a special type of transform that use machine learning to learn the details of the transformation to be performed by learning from examples provided by humans. These transformations are then saved by Glue, and you can retrieve their metadata by calling ‘GetMLTransforms`.

The returned response is a pageable response and is Enumerable. For details on usage see PageableResponse.

Examples:

Request syntax with placeholder values

resp = client.get_ml_transforms({
  next_token: "PaginationToken",
  max_results: 1,
  filter: {
    name: "NameString",
    transform_type: "FIND_MATCHES", # accepts FIND_MATCHES
    status: "NOT_READY", # accepts NOT_READY, READY, DELETING
    glue_version: "GlueVersionString",
    created_before: Time.now,
    created_after: Time.now,
    last_modified_before: Time.now,
    last_modified_after: Time.now,
    schema: [
      {
        name: "ColumnNameString",
        data_type: "ColumnTypeString",
      },
    ],
  },
  sort: {
    column: "NAME", # required, accepts NAME, TRANSFORM_TYPE, STATUS, CREATED, LAST_MODIFIED
    sort_direction: "DESCENDING", # required, accepts DESCENDING, ASCENDING
  },
})

Response structure

resp.transforms #=> Array
resp.transforms[0].transform_id #=> String
resp.transforms[0].name #=> String
resp.transforms[0].description #=> String
resp.transforms[0].status #=> String, one of "NOT_READY", "READY", "DELETING"
resp.transforms[0].created_on #=> Time
resp.transforms[0].last_modified_on #=> Time
resp.transforms[0].input_record_tables #=> Array
resp.transforms[0].input_record_tables[0].database_name #=> String
resp.transforms[0].input_record_tables[0].table_name #=> String
resp.transforms[0].input_record_tables[0].catalog_id #=> String
resp.transforms[0].input_record_tables[0].connection_name #=> String
resp.transforms[0].input_record_tables[0].additional_options #=> Hash
resp.transforms[0].input_record_tables[0].additional_options["NameString"] #=> String
resp.transforms[0].parameters.transform_type #=> String, one of "FIND_MATCHES"
resp.transforms[0].parameters.find_matches_parameters.primary_key_column_name #=> String
resp.transforms[0].parameters.find_matches_parameters.precision_recall_tradeoff #=> Float
resp.transforms[0].parameters.find_matches_parameters.accuracy_cost_tradeoff #=> Float
resp.transforms[0].parameters.find_matches_parameters.enforce_provided_labels #=> Boolean
resp.transforms[0].evaluation_metrics.transform_type #=> String, one of "FIND_MATCHES"
resp.transforms[0].evaluation_metrics.find_matches_metrics.area_under_pr_curve #=> Float
resp.transforms[0].evaluation_metrics.find_matches_metrics.precision #=> Float
resp.transforms[0].evaluation_metrics.find_matches_metrics.recall #=> Float
resp.transforms[0].evaluation_metrics.find_matches_metrics.f1 #=> Float
resp.transforms[0].evaluation_metrics.find_matches_metrics.confusion_matrix.num_true_positives #=> Integer
resp.transforms[0].evaluation_metrics.find_matches_metrics.confusion_matrix.num_false_positives #=> Integer
resp.transforms[0].evaluation_metrics.find_matches_metrics.confusion_matrix.num_true_negatives #=> Integer
resp.transforms[0].evaluation_metrics.find_matches_metrics.confusion_matrix.num_false_negatives #=> Integer
resp.transforms[0].evaluation_metrics.find_matches_metrics.column_importances #=> Array
resp.transforms[0].evaluation_metrics.find_matches_metrics.column_importances[0].column_name #=> String
resp.transforms[0].evaluation_metrics.find_matches_metrics.column_importances[0].importance #=> Float
resp.transforms[0].label_count #=> Integer
resp.transforms[0].schema #=> Array
resp.transforms[0].schema[0].name #=> String
resp.transforms[0].schema[0].data_type #=> String
resp.transforms[0].role #=> String
resp.transforms[0].glue_version #=> String
resp.transforms[0].max_capacity #=> Float
resp.transforms[0].worker_type #=> String, one of "Standard", "G.1X", "G.2X", "G.025X", "G.4X", "G.8X", "Z.2X"
resp.transforms[0].number_of_workers #=> Integer
resp.transforms[0].timeout #=> Integer
resp.transforms[0].max_retries #=> Integer
resp.transforms[0].transform_encryption.ml_user_data_encryption.ml_user_data_encryption_mode #=> String, one of "DISABLED", "SSE-KMS"
resp.transforms[0].transform_encryption.ml_user_data_encryption.kms_key_id #=> String
resp.transforms[0].transform_encryption.task_run_security_configuration_name #=> String
resp.next_token #=> String

Parameters:

• params (Hash) (defaults to: {}) —

  ({})

Options Hash (params):

• :next_token (String) —

  A paginated token to offset the results.

• :max_results (Integer) —

  The maximum number of results to return.

• :filter (Types::TransformFilterCriteria) —

  The filter transformation criteria.

• :sort (Types::TransformSortCriteria) —

  The sorting criteria.

Returns:

• (Types::GetMLTransformsResponse) —

  Returns a response object which responds to the following methods:

  • #transforms => Array&lt;Types::MLTransform&gt;

  • #next_token => String

See Also:

• AWS API Documentation

# File 'lib/aws-sdk-glue/client.rb', line 9856

def get_ml_transforms(params = {}, options = {})
  req = build_request(:get_ml_transforms, params)
  req.send_request(options)
end

#get_partition(params = {}) ⇒ Types::GetPartitionResponse

Retrieves information about a specified partition.

Examples:

Request syntax with placeholder values

resp = client.get_partition({
  catalog_id: "CatalogIdString",
  database_name: "NameString", # required
  table_name: "NameString", # required
  partition_values: ["ValueString"], # required
})

Response structure

resp.data.partition.values #=> Array
resp.data.partition.values[0] #=> String
resp.data.partition.database_name #=> String
resp.data.partition.table_name #=> String
resp.data.partition.creation_time #=> Time
resp.data.partition.last_access_time #=> Time
resp.data.partition.storage_descriptor.columns #=> Array
resp.data.partition.storage_descriptor.columns[0].name #=> String
resp.data.partition.storage_descriptor.columns[0].type #=> String
resp.data.partition.storage_descriptor.columns[0].comment #=> String
resp.data.partition.storage_descriptor.columns[0].parameters #=> Hash
resp.data.partition.storage_descriptor.columns[0].parameters["KeyString"] #=> String
resp.data.partition.storage_descriptor.location #=> String
resp.data.partition.storage_descriptor.additional_locations #=> Array
resp.data.partition.storage_descriptor.additional_locations[0] #=> String
resp.data.partition.storage_descriptor.input_format #=> String
resp.data.partition.storage_descriptor.output_format #=> String
resp.data.partition.storage_descriptor.compressed #=> Boolean
resp.data.partition.storage_descriptor.number_of_buckets #=> Integer
resp.data.partition.storage_descriptor.serde_info.name #=> String
resp.data.partition.storage_descriptor.serde_info.serialization_library #=> String
resp.data.partition.storage_descriptor.serde_info.parameters #=> Hash
resp.data.partition.storage_descriptor.serde_info.parameters["KeyString"] #=> String
resp.data.partition.storage_descriptor.bucket_columns #=> Array
resp.data.partition.storage_descriptor.bucket_columns[0] #=> String
resp.data.partition.storage_descriptor.sort_columns #=> Array
resp.data.partition.storage_descriptor.sort_columns[0].column #=> String
resp.data.partition.storage_descriptor.sort_columns[0].sort_order #=> Integer
resp.data.partition.storage_descriptor.parameters #=> Hash
resp.data.partition.storage_descriptor.parameters["KeyString"] #=> String
resp.data.partition.storage_descriptor.skewed_info.skewed_column_names #=> Array
resp.data.partition.storage_descriptor.skewed_info.skewed_column_names[0] #=> String
resp.data.partition.storage_descriptor.skewed_info.skewed_column_values #=> Array
resp.data.partition.storage_descriptor.skewed_info.skewed_column_values[0] #=> String
resp.data.partition.storage_descriptor.skewed_info.skewed_column_value_location_maps #=> Hash
resp.data.partition.storage_descriptor.skewed_info.skewed_column_value_location_maps["ColumnValuesString"] #=> String
resp.data.partition.storage_descriptor.stored_as_sub_directories #=> Boolean
resp.data.partition.storage_descriptor.schema_reference.schema_id.schema_arn #=> String
resp.data.partition.storage_descriptor.schema_reference.schema_id.schema_name #=> String
resp.data.partition.storage_descriptor.schema_reference.schema_id.registry_name #=> String
resp.data.partition.storage_descriptor.schema_reference.schema_version_id #=> String
resp.data.partition.storage_descriptor.schema_reference.schema_version_number #=> Integer
resp.data.partition.parameters #=> Hash
resp.data.partition.parameters["KeyString"] #=> String
resp.data.partition.last_analyzed_time #=> Time
resp.data.partition.catalog_id #=> String

Parameters:

• params (Hash) (defaults to: {}) —

  ({})

Options Hash (params):

• :catalog_id (String) —

  The ID of the Data Catalog where the partition in question resides. If none is provided, the Amazon Web Services account ID is used by default.

• :database_name (required, String) —

  The name of the catalog database where the partition resides.

• :table_name (required, String) —

  The name of the partition’s table.

• :partition_values (required, Array<String>) —

  The values that define the partition.

Returns:

• (Types::GetPartitionResponse) —

  Returns a response object which responds to the following methods:

  • #data.partition => Types::Partition (This method conflicts with a method on Response, call it through the data member)

See Also:

• AWS API Documentation

# File 'lib/aws-sdk-glue/client.rb', line 10015

def get_partition(params = {}, options = {})
  req = build_request(:get_partition, params)
  req.send_request(options)
end

#get_partition_indexes(params = {}) ⇒ Types::GetPartitionIndexesResponse

Retrieves the partition indexes associated with a table.

The returned response is a pageable response and is Enumerable. For details on usage see PageableResponse.

Examples:

Request syntax with placeholder values

resp = client.get_partition_indexes({
  catalog_id: "CatalogIdString",
  database_name: "NameString", # required
  table_name: "NameString", # required
  next_token: "Token",
})

Response structure

resp.partition_index_descriptor_list #=> Array
resp.partition_index_descriptor_list[0].index_name #=> String
resp.partition_index_descriptor_list[0].keys #=> Array
resp.partition_index_descriptor_list[0].keys[0].name #=> String
resp.partition_index_descriptor_list[0].keys[0].type #=> String
resp.partition_index_descriptor_list[0].index_status #=> String, one of "CREATING", "ACTIVE", "DELETING", "FAILED"
resp.partition_index_descriptor_list[0].backfill_errors #=> Array
resp.partition_index_descriptor_list[0].backfill_errors[0].code #=> String, one of "ENCRYPTED_PARTITION_ERROR", "INTERNAL_ERROR", "INVALID_PARTITION_TYPE_DATA_ERROR", "MISSING_PARTITION_VALUE_ERROR", "UNSUPPORTED_PARTITION_CHARACTER_ERROR"
resp.partition_index_descriptor_list[0].backfill_errors[0].partitions #=> Array
resp.partition_index_descriptor_list[0].backfill_errors[0].partitions[0].values #=> Array
resp.partition_index_descriptor_list[0].backfill_errors[0].partitions[0].values[0] #=> String
resp.next_token #=> String

Parameters:

• params (Hash) (defaults to: {}) —

  ({})

Options Hash (params):

• :catalog_id (String) —

  The catalog ID where the table resides.

• :database_name (required, String) —

  Specifies the name of a database from which you want to retrieve partition indexes.

• :table_name (required, String) —

  Specifies the name of a table for which you want to retrieve the partition indexes.

• :next_token (String) —

  A continuation token, included if this is a continuation call.

Returns:

• (Types::GetPartitionIndexesResponse) —

  Returns a response object which responds to the following methods:

  • #partition_index_descriptor_list => Array&lt;Types::PartitionIndexDescriptor&gt;

  • #next_token => String

See Also:

• AWS API Documentation

# File 'lib/aws-sdk-glue/client.rb', line 10071

def get_partition_indexes(params = {}, options = {})
  req = build_request(:get_partition_indexes, params)
  req.send_request(options)
end

#get_partitions(params = {}) ⇒ Types::GetPartitionsResponse

Retrieves information about the partitions in a table.

The returned response is a pageable response and is Enumerable. For details on usage see PageableResponse.

Examples:

Request syntax with placeholder values

resp = client.get_partitions({
  catalog_id: "CatalogIdString",
  database_name: "NameString", # required
  table_name: "NameString", # required
  expression: "PredicateString",
  next_token: "Token",
  segment: {
    segment_number: 1, # required
    total_segments: 1, # required
  },
  max_results: 1,
  exclude_column_schema: false,
  transaction_id: "TransactionIdString",
  query_as_of_time: Time.now,
})

Response structure

resp.partitions #=> Array
resp.partitions[0].values #=> Array
resp.partitions[0].values[0] #=> String
resp.partitions[0].database_name #=> String
resp.partitions[0].table_name #=> String
resp.partitions[0].creation_time #=> Time
resp.partitions[0].last_access_time #=> Time
resp.partitions[0].storage_descriptor.columns #=> Array
resp.partitions[0].storage_descriptor.columns[0].name #=> String
resp.partitions[0].storage_descriptor.columns[0].type #=> String
resp.partitions[0].storage_descriptor.columns[0].comment #=> String
resp.partitions[0].storage_descriptor.columns[0].parameters #=> Hash
resp.partitions[0].storage_descriptor.columns[0].parameters["KeyString"] #=> String
resp.partitions[0].storage_descriptor.location #=> String
resp.partitions[0].storage_descriptor.additional_locations #=> Array
resp.partitions[0].storage_descriptor.additional_locations[0] #=> String
resp.partitions[0].storage_descriptor.input_format #=> String
resp.partitions[0].storage_descriptor.output_format #=> String
resp.partitions[0].storage_descriptor.compressed #=> Boolean
resp.partitions[0].storage_descriptor.number_of_buckets #=> Integer
resp.partitions[0].storage_descriptor.serde_info.name #=> String
resp.partitions[0].storage_descriptor.serde_info.serialization_library #=> String
resp.partitions[0].storage_descriptor.serde_info.parameters #=> Hash
resp.partitions[0].storage_descriptor.serde_info.parameters["KeyString"] #=> String
resp.partitions[0].storage_descriptor.bucket_columns #=> Array
resp.partitions[0].storage_descriptor.bucket_columns[0] #=> String
resp.partitions[0].storage_descriptor.sort_columns #=> Array
resp.partitions[0].storage_descriptor.sort_columns[0].column #=> String
resp.partitions[0].storage_descriptor.sort_columns[0].sort_order #=> Integer
resp.partitions[0].storage_descriptor.parameters #=> Hash
resp.partitions[0].storage_descriptor.parameters["KeyString"] #=> String
resp.partitions[0].storage_descriptor.skewed_info.skewed_column_names #=> Array
resp.partitions[0].storage_descriptor.skewed_info.skewed_column_names[0] #=> String
resp.partitions[0].storage_descriptor.skewed_info.skewed_column_values #=> Array
resp.partitions[0].storage_descriptor.skewed_info.skewed_column_values[0] #=> String
resp.partitions[0].storage_descriptor.skewed_info.skewed_column_value_location_maps #=> Hash
resp.partitions[0].storage_descriptor.skewed_info.skewed_column_value_location_maps["ColumnValuesString"] #=> String
resp.partitions[0].storage_descriptor.stored_as_sub_directories #=> Boolean
resp.partitions[0].storage_descriptor.schema_reference.schema_id.schema_arn #=> String
resp.partitions[0].storage_descriptor.schema_reference.schema_id.schema_name #=> String
resp.partitions[0].storage_descriptor.schema_reference.schema_id.registry_name #=> String
resp.partitions[0].storage_descriptor.schema_reference.schema_version_id #=> String
resp.partitions[0].storage_descriptor.schema_reference.schema_version_number #=> Integer
resp.partitions[0].parameters #=> Hash
resp.partitions[0].parameters["KeyString"] #=> String
resp.partitions[0].last_analyzed_time #=> Time
resp.partitions[0].catalog_id #=> String
resp.next_token #=> String

Parameters:

• params (Hash) (defaults to: {}) —

  ({})

Options Hash (params):

• :catalog_id (String) —

  The ID of the Data Catalog where the partitions in question reside. If none is provided, the Amazon Web Services account ID is used by default.

• :database_name (required, String) —

  The name of the catalog database where the partitions reside.

• :table_name (required, String) —

  The name of the partitions’ table.

• :expression (String) —

  An expression that filters the partitions to be returned.

  The expression uses SQL syntax similar to the SQL ‘WHERE` filter clause. The SQL statement parser [JSQLParser] parses the expression.

  Operators: The following are the operators that you can use in the ‘Expression` API call:

  : Checks whether the values of the two operands are equal; if yes,

  then the condition becomes true.
  
  Example: Assume 'variable a' holds 10 and 'variable b' holds 20.
  
  (a = b) is not true.
  

  &lt; &gt;

  : Checks whether the values of two operands are equal; if the values

  are not equal, then the condition becomes true.
  
  Example: (a < > b) is true.
  

  &gt;

  : Checks whether the value of the left operand is greater than the

  value of the right operand; if yes, then the condition becomes true.
  
  Example: (a > b) is not true.
  

  &lt;

  : Checks whether the value of the left operand is less than the value

  of the right operand; if yes, then the condition becomes true.
  
  Example: (a < b) is true.
  

  &gt;=

  : Checks whether the value of the left operand is greater than or

  equal to the value of the right operand; if yes, then the condition
  becomes true.
  
  Example: (a >= b) is not true.
  

  &lt;=

  : Checks whether the value of the left operand is less than or equal

  to the value of the right operand; if yes, then the condition
  becomes true.
  
  Example: (a <= b) is true.
  

  AND, OR, IN, BETWEEN, LIKE, NOT, IS NULL

  : Logical operators.

  *Supported Partition Key Types*: The following are the supported partition keys.

  • ‘string`

  • ‘date`

  • ‘timestamp`

  • ‘int`

  • ‘bigint`

  • ‘long`

  • ‘tinyint`

  • ‘smallint`

  • ‘decimal`

  If an type is encountered that is not valid, an exception is thrown.

  The following list shows the valid operators on each type. When you define a crawler, the ‘partitionKey` type is created as a `STRING`, to be compatible with the catalog partitions.

  *Sample API Call*:

  [1]: jsqlparser.sourceforge.net/home.php

• :next_token (String) —

  A continuation token, if this is not the first call to retrieve these partitions.

• :segment (Types::Segment) —

  The segment of the table’s partitions to scan in this request.

• :max_results (Integer) —

  The maximum number of partitions to return in a single response.

• :exclude_column_schema (Boolean) —

  When true, specifies not returning the partition column schema. Useful when you are interested only in other partition attributes such as partition values or location. This approach avoids the problem of a large response by not returning duplicate data.

• :transaction_id (String) —

  The transaction ID at which to read the partition contents.

• :query_as_of_time (Time, DateTime, Date, Integer, String) —

  The time as of when to read the partition contents. If not set, the most recent transaction commit time will be used. Cannot be specified along with ‘TransactionId`.

Returns:

• (Types::GetPartitionsResponse) —

  Returns a response object which responds to the following methods:

  • #partitions => Array&lt;Types::Partition&gt;

  • #next_token => String

See Also:

• AWS API Documentation

# File 'lib/aws-sdk-glue/client.rb', line 10286

def get_partitions(params = {}, options = {})
  req = build_request(:get_partitions, params)
  req.send_request(options)
end

#get_plan(params = {}) ⇒ Types::GetPlanResponse

Gets code to perform a specified mapping.

Examples:

Request syntax with placeholder values

resp = client.get_plan({
  mapping: [ # required
    {
      source_table: "TableName",
      source_path: "SchemaPathString",
      source_type: "FieldType",
      target_table: "TableName",
      target_path: "SchemaPathString",
      target_type: "FieldType",
    },
  ],
  source: { # required
    database_name: "NameString", # required
    table_name: "NameString", # required
  },
  sinks: [
    {
      database_name: "NameString", # required
      table_name: "NameString", # required
    },
  ],
  location: {
    jdbc: [
      {
        name: "CodeGenArgName", # required
        value: "CodeGenArgValue", # required
        param: false,
      },
    ],
    s3: [
      {
        name: "CodeGenArgName", # required
        value: "CodeGenArgValue", # required
        param: false,
      },
    ],
    dynamo_db: [
      {
        name: "CodeGenArgName", # required
        value: "CodeGenArgValue", # required
        param: false,
      },
    ],
  },
  language: "PYTHON", # accepts PYTHON, SCALA
  additional_plan_options_map: {
    "GenericString" => "GenericString",
  },
})

Response structure

resp.python_script #=> String
resp.scala_code #=> String

Parameters:

• params (Hash) (defaults to: {}) —

  ({})

Options Hash (params):

• :mapping (required, Array<Types::MappingEntry>) —

  The list of mappings from a source table to target tables.

• :source (required, Types::CatalogEntry) —

  The source table.

• :sinks (Array<Types::CatalogEntry>) —

  The target tables.

• :location (Types::Location) —

  The parameters for the mapping.

• :language (String) —

  The programming language of the code to perform the mapping.

• :additional_plan_options_map (Hash<String,String>) —

  A map to hold additional optional key-value parameters.

  Currently, these key-value pairs are supported:

  • ‘inferSchema`  —  Specifies whether to set `inferSchema` to true or false for the default script generated by an Glue job. For example, to set `inferSchema` to true, pass the following key value pair:

    ‘–additional-plan-options-map ’“inferSchema”:“true”‘`

Returns:

• (Types::GetPlanResponse) —

  Returns a response object which responds to the following methods:

  • #python_script => String

  • #scala_code => String

See Also:

• AWS API Documentation

# File 'lib/aws-sdk-glue/client.rb', line 10385

def get_plan(params = {}, options = {})
  req = build_request(:get_plan, params)
  req.send_request(options)
end

#get_registry(params = {}) ⇒ Types::GetRegistryResponse

Describes the specified registry in detail.

Examples:

Request syntax with placeholder values

resp = client.get_registry({
  registry_id: { # required
    registry_name: "SchemaRegistryNameString",
    registry_arn: "GlueResourceArn",
  },
})

Response structure

resp.registry_name #=> String
resp.registry_arn #=> String
resp.description #=> String
resp.status #=> String, one of "AVAILABLE", "DELETING"
resp.created_time #=> String
resp.updated_time #=> String

Parameters:

• params (Hash) (defaults to: {}) —

  ({})

Options Hash (params):

• :registry_id (required, Types::RegistryId) —

  This is a wrapper structure that may contain the registry name and Amazon Resource Name (ARN).

Returns:

• (Types::GetRegistryResponse) —

  Returns a response object which responds to the following methods:

  • #registry_name => String

  • #registry_arn => String

  • #description => String

  • #status => String

  • #created_time => String

  • #updated_time => String

See Also:

• AWS API Documentation

# File 'lib/aws-sdk-glue/client.rb', line 10427

def get_registry(params = {}, options = {})
  req = build_request(:get_registry, params)
  req.send_request(options)
end

#get_resource_policies(params = {}) ⇒ Types::GetResourcePoliciesResponse

Retrieves the resource policies set on individual resources by Resource Access Manager during cross-account permission grants. Also retrieves the Data Catalog resource policy.

If you enabled metadata encryption in Data Catalog settings, and you do not have permission on the KMS key, the operation can’t return the Data Catalog resource policy.

The returned response is a pageable response and is Enumerable. For details on usage see PageableResponse.

Examples:

Request syntax with placeholder values

resp = client.get_resource_policies({
  next_token: "Token",
  max_results: 1,
})

Response structure

resp.get_resource_policies_response_list #=> Array
resp.get_resource_policies_response_list[0].policy_in_json #=> String
resp.get_resource_policies_response_list[0].policy_hash #=> String
resp.get_resource_policies_response_list[0].create_time #=> Time
resp.get_resource_policies_response_list[0].update_time #=> Time
resp.next_token #=> String

Parameters:

• params (Hash) (defaults to: {}) —

  ({})

Options Hash (params):

• :next_token (String) —

  A continuation token, if this is a continuation request.

• :max_results (Integer) —

  The maximum size of a list to return.

Returns:

• (Types::GetResourcePoliciesResponse) —

  Returns a response object which responds to the following methods:

  • #get_resource_policies_response_list => Array&lt;Types::GluePolicy&gt;

  • #next_token => String

See Also:

• AWS API Documentation

# File 'lib/aws-sdk-glue/client.rb', line 10473

def get_resource_policies(params = {}, options = {})
  req = build_request(:get_resource_policies, params)
  req.send_request(options)
end

#get_resource_policy(params = {}) ⇒ Types::GetResourcePolicyResponse

Retrieves a specified resource policy.

Examples:

Request syntax with placeholder values

resp = client.get_resource_policy({
  resource_arn: "GlueResourceArn",
})

Response structure

resp.policy_in_json #=> String
resp.policy_hash #=> String
resp.create_time #=> Time
resp.update_time #=> Time

Parameters:

• params (Hash) (defaults to: {}) —

  ({})

Options Hash (params):

• :resource_arn (String) —

  The ARN of the Glue resource for which to retrieve the resource policy. If not supplied, the Data Catalog resource policy is returned. Use ‘GetResourcePolicies` to view all existing resource policies. For more information see [Specifying Glue Resource ARNs].

  [1]: docs.aws.amazon.com/glue/latest/dg/glue-specifying-resource-arns.html

Returns:

• (Types::GetResourcePolicyResponse) —

  Returns a response object which responds to the following methods:

  • #policy_in_json => String

  • #policy_hash => String

  • #create_time => Time

  • #update_time => Time

See Also:

• AWS API Documentation

# File 'lib/aws-sdk-glue/client.rb', line 10514

def get_resource_policy(params = {}, options = {})
  req = build_request(:get_resource_policy, params)
  req.send_request(options)
end

#get_schema(params = {}) ⇒ Types::GetSchemaResponse

Describes the specified schema in detail.

Examples:

Request syntax with placeholder values

resp = client.get_schema({
  schema_id: { # required
    schema_arn: "GlueResourceArn",
    schema_name: "SchemaRegistryNameString",
    registry_name: "SchemaRegistryNameString",
  },
})

Response structure

resp.registry_name #=> String
resp.registry_arn #=> String
resp.schema_name #=> String
resp.schema_arn #=> String
resp.description #=> String
resp.data_format #=> String, one of "AVRO", "JSON", "PROTOBUF"
resp.compatibility #=> String, one of "NONE", "DISABLED", "BACKWARD", "BACKWARD_ALL", "FORWARD", "FORWARD_ALL", "FULL", "FULL_ALL"
resp.schema_checkpoint #=> Integer
resp.latest_schema_version #=> Integer
resp.next_schema_version #=> Integer
resp.schema_status #=> String, one of "AVAILABLE", "PENDING", "DELETING"
resp.created_time #=> String
resp.updated_time #=> String

Parameters:

• params (Hash) (defaults to: {}) —

  ({})

Options Hash (params):

• :schema_id (required, Types::SchemaId) —

  This is a wrapper structure to contain schema identity fields. The structure contains:

  • SchemaId$SchemaArn: The Amazon Resource Name (ARN) of the schema. Either ‘SchemaArn` or `SchemaName` and `RegistryName` has to be provided.

  • SchemaId$SchemaName: The name of the schema. Either ‘SchemaArn` or `SchemaName` and `RegistryName` has to be provided.

Returns:

• (Types::GetSchemaResponse) —

  Returns a response object which responds to the following methods:

  • #registry_name => String

  • #registry_arn => String

  • #schema_name => String

  • #schema_arn => String

  • #description => String

  • #data_format => String

  • #compatibility => String

  • #schema_checkpoint => Integer

  • #latest_schema_version => Integer

  • #next_schema_version => Integer

  • #schema_status => String

  • #created_time => String

  • #updated_time => String

See Also:

• AWS API Documentation

# File 'lib/aws-sdk-glue/client.rb', line 10578

def get_schema(params = {}, options = {})
  req = build_request(:get_schema, params)
  req.send_request(options)
end

#get_schema_by_definition(params = {}) ⇒ Types::GetSchemaByDefinitionResponse

Retrieves a schema by the ‘SchemaDefinition`. The schema definition is sent to the Schema Registry, canonicalized, and hashed. If the hash is matched within the scope of the `SchemaName` or ARN (or the default registry, if none is supplied), that schema’s metadata is returned. Otherwise, a 404 or NotFound error is returned. Schema versions in `Deleted` statuses will not be included in the results.

Examples:

Request syntax with placeholder values

resp = client.get_schema_by_definition({
  schema_id: { # required
    schema_arn: "GlueResourceArn",
    schema_name: "SchemaRegistryNameString",
    registry_name: "SchemaRegistryNameString",
  },
  schema_definition: "SchemaDefinitionString", # required
})

Response structure

resp.schema_version_id #=> String
resp.schema_arn #=> String
resp.data_format #=> String, one of "AVRO", "JSON", "PROTOBUF"
resp.status #=> String, one of "AVAILABLE", "PENDING", "FAILURE", "DELETING"
resp.created_time #=> String

Parameters:

• params (Hash) (defaults to: {}) —

  ({})

Options Hash (params):

• :schema_id (required, Types::SchemaId) —

  This is a wrapper structure to contain schema identity fields. The structure contains:

  • SchemaId$SchemaArn: The Amazon Resource Name (ARN) of the schema. One of ‘SchemaArn` or `SchemaName` has to be provided.

  • SchemaId$SchemaName: The name of the schema. One of ‘SchemaArn` or `SchemaName` has to be provided.

• :schema_definition (required, String) —

  The definition of the schema for which schema details are required.

Returns:

• (Types::GetSchemaByDefinitionResponse) —

  Returns a response object which responds to the following methods:

  • #schema_version_id => String

  • #schema_arn => String

  • #data_format => String

  • #status => String

  • #created_time => String

See Also:

• AWS API Documentation

# File 'lib/aws-sdk-glue/client.rb', line 10634

def get_schema_by_definition(params = {}, options = {})
  req = build_request(:get_schema_by_definition, params)
  req.send_request(options)
end

#get_schema_version(params = {}) ⇒ Types::GetSchemaVersionResponse

Get the specified schema by its unique ID assigned when a version of the schema is created or registered. Schema versions in Deleted status will not be included in the results.

Examples:

Request syntax with placeholder values

resp = client.get_schema_version({
  schema_id: {
    schema_arn: "GlueResourceArn",
    schema_name: "SchemaRegistryNameString",
    registry_name: "SchemaRegistryNameString",
  },
  schema_version_id: "SchemaVersionIdString",
  schema_version_number: {
    latest_version: false,
    version_number: 1,
  },
})

Response structure

resp.schema_version_id #=> String
resp.schema_definition #=> String
resp.data_format #=> String, one of "AVRO", "JSON", "PROTOBUF"
resp.schema_arn #=> String
resp.version_number #=> Integer
resp.status #=> String, one of "AVAILABLE", "PENDING", "FAILURE", "DELETING"
resp.created_time #=> String

Parameters:

• params (Hash) (defaults to: {}) —

  ({})

Options Hash (params):

• :schema_id (Types::SchemaId) —

  This is a wrapper structure to contain schema identity fields. The structure contains:

  • SchemaId$SchemaArn: The Amazon Resource Name (ARN) of the schema. Either ‘SchemaArn` or `SchemaName` and `RegistryName` has to be provided.

  • SchemaId$SchemaName: The name of the schema. Either ‘SchemaArn` or `SchemaName` and `RegistryName` has to be provided.

• :schema_version_id (String) —

  The ‘SchemaVersionId` of the schema version. This field is required for fetching by schema ID. Either this or the `SchemaId` wrapper has to be provided.

• :schema_version_number (Types::SchemaVersionNumber) —

  The version number of the schema.

Returns:

• (Types::GetSchemaVersionResponse) —

  Returns a response object which responds to the following methods:

  • #schema_version_id => String

  • #schema_definition => String

  • #data_format => String

  • #schema_arn => String

  • #version_number => Integer

  • #status => String

  • #created_time => String

See Also:

• AWS API Documentation

# File 'lib/aws-sdk-glue/client.rb', line 10701

def get_schema_version(params = {}, options = {})
  req = build_request(:get_schema_version, params)
  req.send_request(options)
end

#get_schema_versions_diff(params = {}) ⇒ Types::GetSchemaVersionsDiffResponse

Fetches the schema version difference in the specified difference type between two stored schema versions in the Schema Registry.

This API allows you to compare two schema versions between two schema definitions under the same schema.

Examples:

Request syntax with placeholder values

resp = client.get_schema_versions_diff({
  schema_id: { # required
    schema_arn: "GlueResourceArn",
    schema_name: "SchemaRegistryNameString",
    registry_name: "SchemaRegistryNameString",
  },
  first_schema_version_number: { # required
    latest_version: false,
    version_number: 1,
  },
  second_schema_version_number: { # required
    latest_version: false,
    version_number: 1,
  },
  schema_diff_type: "SYNTAX_DIFF", # required, accepts SYNTAX_DIFF
})

Response structure

resp.diff #=> String

Parameters:

• params (Hash) (defaults to: {}) —

  ({})

Options Hash (params):

• :schema_id (required, Types::SchemaId) —

  This is a wrapper structure to contain schema identity fields. The structure contains:

  • SchemaId$SchemaArn: The Amazon Resource Name (ARN) of the schema. One of ‘SchemaArn` or `SchemaName` has to be provided.

  • SchemaId$SchemaName: The name of the schema. One of ‘SchemaArn` or `SchemaName` has to be provided.

• :first_schema_version_number (required, Types::SchemaVersionNumber) —

  The first of the two schema versions to be compared.

• :second_schema_version_number (required, Types::SchemaVersionNumber) —

  The second of the two schema versions to be compared.

• :schema_diff_type (required, String) —

  Refers to ‘SYNTAX_DIFF`, which is the currently supported diff type.

Returns:

• (Types::GetSchemaVersionsDiffResponse) —

  Returns a response object which responds to the following methods:

  • #diff => String

See Also:

• AWS API Documentation

# File 'lib/aws-sdk-glue/client.rb', line 10762

def get_schema_versions_diff(params = {}, options = {})
  req = build_request(:get_schema_versions_diff, params)
  req.send_request(options)
end

#get_security_configuration(params = {}) ⇒ Types::GetSecurityConfigurationResponse

Retrieves a specified security configuration.

Examples:

Request syntax with placeholder values

resp = client.get_security_configuration({
  name: "NameString", # required
})

Response structure

resp.security_configuration.name #=> String
resp.security_configuration.created_time_stamp #=> Time
resp.security_configuration.encryption_configuration.s3_encryption #=> Array
resp.security_configuration.encryption_configuration.s3_encryption[0].s3_encryption_mode #=> String, one of "DISABLED", "SSE-KMS", "SSE-S3"
resp.security_configuration.encryption_configuration.s3_encryption[0].kms_key_arn #=> String
resp.security_configuration.encryption_configuration.cloud_watch_encryption.cloud_watch_encryption_mode #=> String, one of "DISABLED", "SSE-KMS"
resp.security_configuration.encryption_configuration.cloud_watch_encryption.kms_key_arn #=> String
resp.security_configuration.encryption_configuration.job_bookmarks_encryption.job_bookmarks_encryption_mode #=> String, one of "DISABLED", "CSE-KMS"
resp.security_configuration.encryption_configuration.job_bookmarks_encryption.kms_key_arn #=> String

Parameters:

• params (Hash) (defaults to: {}) —

  ({})

Options Hash (params):

• :name (required, String) —

  The name of the security configuration to retrieve.

Returns:

• (Types::GetSecurityConfigurationResponse) —

  Returns a response object which responds to the following methods:

  • #security_configuration => Types::SecurityConfiguration

See Also:

• AWS API Documentation

# File 'lib/aws-sdk-glue/client.rb', line 10798

def get_security_configuration(params = {}, options = {})
  req = build_request(:get_security_configuration, params)
  req.send_request(options)
end

#get_security_configurations(params = {}) ⇒ Types::GetSecurityConfigurationsResponse

Retrieves a list of all security configurations.

The returned response is a pageable response and is Enumerable. For details on usage see PageableResponse.

Examples:

Request syntax with placeholder values

resp = client.get_security_configurations({
  max_results: 1,
  next_token: "GenericString",
})

Response structure

resp.security_configurations #=> Array
resp.security_configurations[0].name #=> String
resp.security_configurations[0].created_time_stamp #=> Time
resp.security_configurations[0].encryption_configuration.s3_encryption #=> Array
resp.security_configurations[0].encryption_configuration.s3_encryption[0].s3_encryption_mode #=> String, one of "DISABLED", "SSE-KMS", "SSE-S3"
resp.security_configurations[0].encryption_configuration.s3_encryption[0].kms_key_arn #=> String
resp.security_configurations[0].encryption_configuration.cloud_watch_encryption.cloud_watch_encryption_mode #=> String, one of "DISABLED", "SSE-KMS"
resp.security_configurations[0].encryption_configuration.cloud_watch_encryption.kms_key_arn #=> String
resp.security_configurations[0].encryption_configuration.job_bookmarks_encryption.job_bookmarks_encryption_mode #=> String, one of "DISABLED", "CSE-KMS"
resp.security_configurations[0].encryption_configuration.job_bookmarks_encryption.kms_key_arn #=> String
resp.next_token #=> String

Parameters:

• params (Hash) (defaults to: {}) —

  ({})

Options Hash (params):

• :max_results (Integer) —

  The maximum number of results to return.

• :next_token (String) —

  A continuation token, if this is a continuation call.

Returns:

• (Types::GetSecurityConfigurationsResponse) —

  Returns a response object which responds to the following methods:

  • #security_configurations => Array&lt;Types::SecurityConfiguration&gt;

  • #next_token => String

See Also:

• AWS API Documentation

# File 'lib/aws-sdk-glue/client.rb', line 10843

def get_security_configurations(params = {}, options = {})
  req = build_request(:get_security_configurations, params)
  req.send_request(options)
end

#get_session(params = {}) ⇒ Types::GetSessionResponse

Retrieves the session.

Examples:

Request syntax with placeholder values

resp = client.get_session({
  id: "NameString", # required
  request_origin: "OrchestrationNameString",
})

Response structure

resp.session.id #=> String
resp.session.created_on #=> Time
resp.session.status #=> String, one of "PROVISIONING", "READY", "FAILED", "TIMEOUT", "STOPPING", "STOPPED"
resp.session.error_message #=> String
resp.session.description #=> String
resp.session.role #=> String
resp.session.command.name #=> String
resp.session.command.python_version #=> String
resp.session.default_arguments #=> Hash
resp.session.default_arguments["OrchestrationNameString"] #=> String
resp.session.connections.connections #=> Array
resp.session.connections.connections[0] #=> String
resp.session.progress #=> Float
resp.session.max_capacity #=> Float
resp.session.security_configuration #=> String
resp.session.glue_version #=> String
resp.session.number_of_workers #=> Integer
resp.session.worker_type #=> String, one of "Standard", "G.1X", "G.2X", "G.025X", "G.4X", "G.8X", "Z.2X"
resp.session.completed_on #=> Time
resp.session.execution_time #=> Float
resp.session.dpu_seconds #=> Float
resp.session.idle_timeout #=> Integer
resp.session.profile_name #=> String

Parameters:

• params (Hash) (defaults to: {}) —

  ({})

Options Hash (params):

• :id (required, String) —

  The ID of the session.

• :request_origin (String) —

  The origin of the request.

Returns:

• (Types::GetSessionResponse) —

  Returns a response object which responds to the following methods:

  • #session => Types::Session

See Also:

• AWS API Documentation

# File 'lib/aws-sdk-glue/client.rb', line 10897

def get_session(params = {}, options = {})
  req = build_request(:get_session, params)
  req.send_request(options)
end

#get_statement(params = {}) ⇒ Types::GetStatementResponse

Retrieves the statement.

Examples:

Request syntax with placeholder values

resp = client.get_statement({
  session_id: "NameString", # required
  id: 1, # required
  request_origin: "OrchestrationNameString",
})

Response structure

resp.statement.id #=> Integer
resp.statement.code #=> String
resp.statement.state #=> String, one of "WAITING", "RUNNING", "AVAILABLE", "CANCELLING", "CANCELLED", "ERROR"
resp.statement.output.data.text_plain #=> String
resp.statement.output.execution_count #=> Integer
resp.statement.output.status #=> String, one of "WAITING", "RUNNING", "AVAILABLE", "CANCELLING", "CANCELLED", "ERROR"
resp.statement.output.error_name #=> String
resp.statement.output.error_value #=> String
resp.statement.output.traceback #=> Array
resp.statement.output.traceback[0] #=> String
resp.statement.progress #=> Float
resp.statement.started_on #=> Integer
resp.statement.completed_on #=> Integer

Parameters:

• params (Hash) (defaults to: {}) —

  ({})

Options Hash (params):

• :session_id (required, String) —

  The Session ID of the statement.

• :id (required, Integer) —

  The Id of the statement.

• :request_origin (String) —

  The origin of the request.

Returns:

• (Types::GetStatementResponse) —

  Returns a response object which responds to the following methods:

  • #statement => Types::Statement

See Also:

• AWS API Documentation

# File 'lib/aws-sdk-glue/client.rb', line 10945

def get_statement(params = {}, options = {})
  req = build_request(:get_statement, params)
  req.send_request(options)
end

#get_table(params = {}) ⇒ Types::GetTableResponse

Retrieves the ‘Table` definition in a Data Catalog for a specified table.

Examples:

Request syntax with placeholder values

resp = client.get_table({
  catalog_id: "CatalogIdString",
  database_name: "NameString", # required
  name: "NameString", # required
  transaction_id: "TransactionIdString",
  query_as_of_time: Time.now,
})

Response structure

resp.table.name #=> String
resp.table.database_name #=> String
resp.table.description #=> String
resp.table.owner #=> String
resp.table.create_time #=> Time
resp.table.update_time #=> Time
resp.table.last_access_time #=> Time
resp.table.last_analyzed_time #=> Time
resp.table.retention #=> Integer
resp.table.storage_descriptor.columns #=> Array
resp.table.storage_descriptor.columns[0].name #=> String
resp.table.storage_descriptor.columns[0].type #=> String
resp.table.storage_descriptor.columns[0].comment #=> String
resp.table.storage_descriptor.columns[0].parameters #=> Hash
resp.table.storage_descriptor.columns[0].parameters["KeyString"] #=> String
resp.table.storage_descriptor.location #=> String
resp.table.storage_descriptor.additional_locations #=> Array
resp.table.storage_descriptor.additional_locations[0] #=> String
resp.table.storage_descriptor.input_format #=> String
resp.table.storage_descriptor.output_format #=> String
resp.table.storage_descriptor.compressed #=> Boolean
resp.table.storage_descriptor.number_of_buckets #=> Integer
resp.table.storage_descriptor.serde_info.name #=> String
resp.table.storage_descriptor.serde_info.serialization_library #=> String
resp.table.storage_descriptor.serde_info.parameters #=> Hash
resp.table.storage_descriptor.serde_info.parameters["KeyString"] #=> String
resp.table.storage_descriptor.bucket_columns #=> Array
resp.table.storage_descriptor.bucket_columns[0] #=> String
resp.table.storage_descriptor.sort_columns #=> Array
resp.table.storage_descriptor.sort_columns[0].column #=> String
resp.table.storage_descriptor.sort_columns[0].sort_order #=> Integer
resp.table.storage_descriptor.parameters #=> Hash
resp.table.storage_descriptor.parameters["KeyString"] #=> String
resp.table.storage_descriptor.skewed_info.skewed_column_names #=> Array
resp.table.storage_descriptor.skewed_info.skewed_column_names[0] #=> String
resp.table.storage_descriptor.skewed_info.skewed_column_values #=> Array
resp.table.storage_descriptor.skewed_info.skewed_column_values[0] #=> String
resp.table.storage_descriptor.skewed_info.skewed_column_value_location_maps #=> Hash
resp.table.storage_descriptor.skewed_info.skewed_column_value_location_maps["ColumnValuesString"] #=> String
resp.table.storage_descriptor.stored_as_sub_directories #=> Boolean
resp.table.storage_descriptor.schema_reference.schema_id.schema_arn #=> String
resp.table.storage_descriptor.schema_reference.schema_id.schema_name #=> String
resp.table.storage_descriptor.schema_reference.schema_id.registry_name #=> String
resp.table.storage_descriptor.schema_reference.schema_version_id #=> String
resp.table.storage_descriptor.schema_reference.schema_version_number #=> Integer
resp.table.partition_keys #=> Array
resp.table.partition_keys[0].name #=> String
resp.table.partition_keys[0].type #=> String
resp.table.partition_keys[0].comment #=> String
resp.table.partition_keys[0].parameters #=> Hash
resp.table.partition_keys[0].parameters["KeyString"] #=> String
resp.table.view_original_text #=> String
resp.table.view_expanded_text #=> String
resp.table.table_type #=> String
resp.table.parameters #=> Hash
resp.table.parameters["KeyString"] #=> String
resp.table.created_by #=> String
resp.table.is_registered_with_lake_formation #=> Boolean
resp.table.target_table.catalog_id #=> String
resp.table.target_table.database_name #=> String
resp.table.target_table.name #=> String
resp.table.target_table.region #=> String
resp.table.catalog_id #=> String
resp.table.version_id #=> String
resp.table.federated_table.identifier #=> String
resp.table.federated_table.database_identifier #=> String
resp.table.federated_table.connection_name #=> String
resp.table.view_definition.is_protected #=> Boolean
resp.table.view_definition.definer #=> String
resp.table.view_definition.sub_objects #=> Array
resp.table.view_definition.sub_objects[0] #=> String
resp.table.view_definition.representations #=> Array
resp.table.view_definition.representations[0].dialect #=> String, one of "REDSHIFT", "ATHENA", "SPARK"
resp.table.view_definition.representations[0].dialect_version #=> String
resp.table.view_definition.representations[0].view_original_text #=> String
resp.table.view_definition.representations[0].view_expanded_text #=> String
resp.table.view_definition.representations[0].validation_connection #=> String
resp.table.view_definition.representations[0].is_stale #=> Boolean
resp.table.is_multi_dialect_view #=> Boolean

Parameters:

• params (Hash) (defaults to: {}) —

  ({})

Options Hash (params):

• :catalog_id (String) —

  The ID of the Data Catalog where the table resides. If none is provided, the Amazon Web Services account ID is used by default.

• :database_name (required, String) —

  The name of the database in the catalog in which the table resides. For Hive compatibility, this name is entirely lowercase.

• :name (required, String) —

  The name of the table for which to retrieve the definition. For Hive compatibility, this name is entirely lowercase.

• :transaction_id (String) —

  The transaction ID at which to read the table contents.

• :query_as_of_time (Time, DateTime, Date, Integer, String) —

  The time as of when to read the table contents. If not set, the most recent transaction commit time will be used. Cannot be specified along with ‘TransactionId`.

Returns:

• (Types::GetTableResponse) —

  Returns a response object which responds to the following methods:

  • #table => Types::Table

See Also:

• AWS API Documentation

# File 'lib/aws-sdk-glue/client.rb', line 11073

def get_table(params = {}, options = {})
  req = build_request(:get_table, params)
  req.send_request(options)
end

#get_table_optimizer(params = {}) ⇒ Types::GetTableOptimizerResponse

Returns the configuration of all optimizers associated with a specified table.

Examples:

Request syntax with placeholder values

resp = client.get_table_optimizer({
  catalog_id: "CatalogIdString", # required
  database_name: "NameString", # required
  table_name: "NameString", # required
  type: "compaction", # required, accepts compaction
})

Response structure

resp.catalog_id #=> String
resp.database_name #=> String
resp.table_name #=> String
resp.table_optimizer.type #=> String, one of "compaction"
resp.table_optimizer.configuration.role_arn #=> String
resp.table_optimizer.configuration.enabled #=> Boolean
resp.table_optimizer.last_run.event_type #=> String, one of "starting", "completed", "failed", "in_progress"
resp.table_optimizer.last_run.start_timestamp #=> Time
resp.table_optimizer.last_run.end_timestamp #=> Time
resp.table_optimizer.last_run.metrics.number_of_bytes_compacted #=> String
resp.table_optimizer.last_run.metrics.number_of_files_compacted #=> String
resp.table_optimizer.last_run.metrics.number_of_dpus #=> String
resp.table_optimizer.last_run.metrics.job_duration_in_hour #=> String
resp.table_optimizer.last_run.error #=> String

Parameters:

• params (Hash) (defaults to: {}) —

  ({})

Options Hash (params):

• :catalog_id (required, String) —

  The Catalog ID of the table.

• :database_name (required, String) —

  The name of the database in the catalog in which the table resides.

• :table_name (required, String) —

  The name of the table.

• :type (required, String) —

  The type of table optimizer.

Returns:

• (Types::GetTableOptimizerResponse) —

  Returns a response object which responds to the following methods:

  • #catalog_id => String

  • #database_name => String

  • #table_name => String

  • #table_optimizer => Types::TableOptimizer

See Also:

• AWS API Documentation

# File 'lib/aws-sdk-glue/client.rb', line 11130

def get_table_optimizer(params = {}, options = {})
  req = build_request(:get_table_optimizer, params)
  req.send_request(options)
end

#get_table_version(params = {}) ⇒ Types::GetTableVersionResponse

Retrieves a specified version of a table.

Examples:

Request syntax with placeholder values

resp = client.get_table_version({
  catalog_id: "CatalogIdString",
  database_name: "NameString", # required
  table_name: "NameString", # required
  version_id: "VersionString",
})

Response structure

resp.table_version.table.name #=> String
resp.table_version.table.database_name #=> String
resp.table_version.table.description #=> String
resp.table_version.table.owner #=> String
resp.table_version.table.create_time #=> Time
resp.table_version.table.update_time #=> Time
resp.table_version.table.last_access_time #=> Time
resp.table_version.table.last_analyzed_time #=> Time
resp.table_version.table.retention #=> Integer
resp.table_version.table.storage_descriptor.columns #=> Array
resp.table_version.table.storage_descriptor.columns[0].name #=> String
resp.table_version.table.storage_descriptor.columns[0].type #=> String
resp.table_version.table.storage_descriptor.columns[0].comment #=> String
resp.table_version.table.storage_descriptor.columns[0].parameters #=> Hash
resp.table_version.table.storage_descriptor.columns[0].parameters["KeyString"] #=> String
resp.table_version.table.storage_descriptor.location #=> String
resp.table_version.table.storage_descriptor.additional_locations #=> Array
resp.table_version.table.storage_descriptor.additional_locations[0] #=> String
resp.table_version.table.storage_descriptor.input_format #=> String
resp.table_version.table.storage_descriptor.output_format #=> String
resp.table_version.table.storage_descriptor.compressed #=> Boolean
resp.table_version.table.storage_descriptor.number_of_buckets #=> Integer
resp.table_version.table.storage_descriptor.serde_info.name #=> String
resp.table_version.table.storage_descriptor.serde_info.serialization_library #=> String
resp.table_version.table.storage_descriptor.serde_info.parameters #=> Hash
resp.table_version.table.storage_descriptor.serde_info.parameters["KeyString"] #=> String
resp.table_version.table.storage_descriptor.bucket_columns #=> Array
resp.table_version.table.storage_descriptor.bucket_columns[0] #=> String
resp.table_version.table.storage_descriptor.sort_columns #=> Array
resp.table_version.table.storage_descriptor.sort_columns[0].column #=> String
resp.table_version.table.storage_descriptor.sort_columns[0].sort_order #=> Integer
resp.table_version.table.storage_descriptor.parameters #=> Hash
resp.table_version.table.storage_descriptor.parameters["KeyString"] #=> String
resp.table_version.table.storage_descriptor.skewed_info.skewed_column_names #=> Array
resp.table_version.table.storage_descriptor.skewed_info.skewed_column_names[0] #=> String
resp.table_version.table.storage_descriptor.skewed_info.skewed_column_values #=> Array
resp.table_version.table.storage_descriptor.skewed_info.skewed_column_values[0] #=> String
resp.table_version.table.storage_descriptor.skewed_info.skewed_column_value_location_maps #=> Hash
resp.table_version.table.storage_descriptor.skewed_info.skewed_column_value_location_maps["ColumnValuesString"] #=> String
resp.table_version.table.storage_descriptor.stored_as_sub_directories #=> Boolean
resp.table_version.table.storage_descriptor.schema_reference.schema_id.schema_arn #=> String
resp.table_version.table.storage_descriptor.schema_reference.schema_id.schema_name #=> String
resp.table_version.table.storage_descriptor.schema_reference.schema_id.registry_name #=> String
resp.table_version.table.storage_descriptor.schema_reference.schema_version_id #=> String
resp.table_version.table.storage_descriptor.schema_reference.schema_version_number #=> Integer
resp.table_version.table.partition_keys #=> Array
resp.table_version.table.partition_keys[0].name #=> String
resp.table_version.table.partition_keys[0].type #=> String
resp.table_version.table.partition_keys[0].comment #=> String
resp.table_version.table.partition_keys[0].parameters #=> Hash
resp.table_version.table.partition_keys[0].parameters["KeyString"] #=> String
resp.table_version.table.view_original_text #=> String
resp.table_version.table.view_expanded_text #=> String
resp.table_version.table.table_type #=> String
resp.table_version.table.parameters #=> Hash
resp.table_version.table.parameters["KeyString"] #=> String
resp.table_version.table.created_by #=> String
resp.table_version.table.is_registered_with_lake_formation #=> Boolean
resp.table_version.table.target_table.catalog_id #=> String
resp.table_version.table.target_table.database_name #=> String
resp.table_version.table.target_table.name #=> String
resp.table_version.table.target_table.region #=> String
resp.table_version.table.catalog_id #=> String
resp.table_version.table.version_id #=> String
resp.table_version.table.federated_table.identifier #=> String
resp.table_version.table.federated_table.database_identifier #=> String
resp.table_version.table.federated_table.connection_name #=> String
resp.table_version.table.view_definition.is_protected #=> Boolean
resp.table_version.table.view_definition.definer #=> String
resp.table_version.table.view_definition.sub_objects #=> Array
resp.table_version.table.view_definition.sub_objects[0] #=> String
resp.table_version.table.view_definition.representations #=> Array
resp.table_version.table.view_definition.representations[0].dialect #=> String, one of "REDSHIFT", "ATHENA", "SPARK"
resp.table_version.table.view_definition.representations[0].dialect_version #=> String
resp.table_version.table.view_definition.representations[0].view_original_text #=> String
resp.table_version.table.view_definition.representations[0].view_expanded_text #=> String
resp.table_version.table.view_definition.representations[0].validation_connection #=> String
resp.table_version.table.view_definition.representations[0].is_stale #=> Boolean
resp.table_version.table.is_multi_dialect_view #=> Boolean
resp.table_version.version_id #=> String

Parameters:

• params (Hash) (defaults to: {}) —

  ({})

Options Hash (params):

• :catalog_id (String) —

  The ID of the Data Catalog where the tables reside. If none is provided, the Amazon Web Services account ID is used by default.

• :database_name (required, String) —

  The database in the catalog in which the table resides. For Hive compatibility, this name is entirely lowercase.

• :table_name (required, String) —

  The name of the table. For Hive compatibility, this name is entirely lowercase.

• :version_id (String) —

  The ID value of the table version to be retrieved. A ‘VersionID` is a string representation of an integer. Each version is incremented by 1.

Returns:

• (Types::GetTableVersionResponse) —

  Returns a response object which responds to the following methods:

  • #table_version => Types::TableVersion

See Also:

• AWS API Documentation

# File 'lib/aws-sdk-glue/client.rb', line 11253

def get_table_version(params = {}, options = {})
  req = build_request(:get_table_version, params)
  req.send_request(options)
end

#get_table_versions(params = {}) ⇒ Types::GetTableVersionsResponse

Retrieves a list of strings that identify available versions of a specified table.

The returned response is a pageable response and is Enumerable. For details on usage see PageableResponse.

Examples:

Request syntax with placeholder values

resp = client.get_table_versions({
  catalog_id: "CatalogIdString",
  database_name: "NameString", # required
  table_name: "NameString", # required
  next_token: "Token",
  max_results: 1,
})

Response structure

resp.table_versions #=> Array
resp.table_versions[0].table.name #=> String
resp.table_versions[0].table.database_name #=> String
resp.table_versions[0].table.description #=> String
resp.table_versions[0].table.owner #=> String
resp.table_versions[0].table.create_time #=> Time
resp.table_versions[0].table.update_time #=> Time
resp.table_versions[0].table.last_access_time #=> Time
resp.table_versions[0].table.last_analyzed_time #=> Time
resp.table_versions[0].table.retention #=> Integer
resp.table_versions[0].table.storage_descriptor.columns #=> Array
resp.table_versions[0].table.storage_descriptor.columns[0].name #=> String
resp.table_versions[0].table.storage_descriptor.columns[0].type #=> String
resp.table_versions[0].table.storage_descriptor.columns[0].comment #=> String
resp.table_versions[0].table.storage_descriptor.columns[0].parameters #=> Hash
resp.table_versions[0].table.storage_descriptor.columns[0].parameters["KeyString"] #=> String
resp.table_versions[0].table.storage_descriptor.location #=> String
resp.table_versions[0].table.storage_descriptor.additional_locations #=> Array
resp.table_versions[0].table.storage_descriptor.additional_locations[0] #=> String
resp.table_versions[0].table.storage_descriptor.input_format #=> String
resp.table_versions[0].table.storage_descriptor.output_format #=> String
resp.table_versions[0].table.storage_descriptor.compressed #=> Boolean
resp.table_versions[0].table.storage_descriptor.number_of_buckets #=> Integer
resp.table_versions[0].table.storage_descriptor.serde_info.name #=> String
resp.table_versions[0].table.storage_descriptor.serde_info.serialization_library #=> String
resp.table_versions[0].table.storage_descriptor.serde_info.parameters #=> Hash
resp.table_versions[0].table.storage_descriptor.serde_info.parameters["KeyString"] #=> String
resp.table_versions[0].table.storage_descriptor.bucket_columns #=> Array
resp.table_versions[0].table.storage_descriptor.bucket_columns[0] #=> String
resp.table_versions[0].table.storage_descriptor.sort_columns #=> Array
resp.table_versions[0].table.storage_descriptor.sort_columns[0].column #=> String
resp.table_versions[0].table.storage_descriptor.sort_columns[0].sort_order #=> Integer
resp.table_versions[0].table.storage_descriptor.parameters #=> Hash
resp.table_versions[0].table.storage_descriptor.parameters["KeyString"] #=> String
resp.table_versions[0].table.storage_descriptor.skewed_info.skewed_column_names #=> Array
resp.table_versions[0].table.storage_descriptor.skewed_info.skewed_column_names[0] #=> String
resp.table_versions[0].table.storage_descriptor.skewed_info.skewed_column_values #=> Array
resp.table_versions[0].table.storage_descriptor.skewed_info.skewed_column_values[0] #=> String
resp.table_versions[0].table.storage_descriptor.skewed_info.skewed_column_value_location_maps #=> Hash
resp.table_versions[0].table.storage_descriptor.skewed_info.skewed_column_value_location_maps["ColumnValuesString"] #=> String
resp.table_versions[0].table.storage_descriptor.stored_as_sub_directories #=> Boolean
resp.table_versions[0].table.storage_descriptor.schema_reference.schema_id.schema_arn #=> String
resp.table_versions[0].table.storage_descriptor.schema_reference.schema_id.schema_name #=> String
resp.table_versions[0].table.storage_descriptor.schema_reference.schema_id.registry_name #=> String
resp.table_versions[0].table.storage_descriptor.schema_reference.schema_version_id #=> String
resp.table_versions[0].table.storage_descriptor.schema_reference.schema_version_number #=> Integer
resp.table_versions[0].table.partition_keys #=> Array
resp.table_versions[0].table.partition_keys[0].name #=> String
resp.table_versions[0].table.partition_keys[0].type #=> String
resp.table_versions[0].table.partition_keys[0].comment #=> String
resp.table_versions[0].table.partition_keys[0].parameters #=> Hash
resp.table_versions[0].table.partition_keys[0].parameters["KeyString"] #=> String
resp.table_versions[0].table.view_original_text #=> String
resp.table_versions[0].table.view_expanded_text #=> String
resp.table_versions[0].table.table_type #=> String
resp.table_versions[0].table.parameters #=> Hash
resp.table_versions[0].table.parameters["KeyString"] #=> String
resp.table_versions[0].table.created_by #=> String
resp.table_versions[0].table.is_registered_with_lake_formation #=> Boolean
resp.table_versions[0].table.target_table.catalog_id #=> String
resp.table_versions[0].table.target_table.database_name #=> String
resp.table_versions[0].table.target_table.name #=> String
resp.table_versions[0].table.target_table.region #=> String
resp.table_versions[0].table.catalog_id #=> String
resp.table_versions[0].table.version_id #=> String
resp.table_versions[0].table.federated_table.identifier #=> String
resp.table_versions[0].table.federated_table.database_identifier #=> String
resp.table_versions[0].table.federated_table.connection_name #=> String
resp.table_versions[0].table.view_definition.is_protected #=> Boolean
resp.table_versions[0].table.view_definition.definer #=> String
resp.table_versions[0].table.view_definition.sub_objects #=> Array
resp.table_versions[0].table.view_definition.sub_objects[0] #=> String
resp.table_versions[0].table.view_definition.representations #=> Array
resp.table_versions[0].table.view_definition.representations[0].dialect #=> String, one of "REDSHIFT", "ATHENA", "SPARK"
resp.table_versions[0].table.view_definition.representations[0].dialect_version #=> String
resp.table_versions[0].table.view_definition.representations[0].view_original_text #=> String
resp.table_versions[0].table.view_definition.representations[0].view_expanded_text #=> String
resp.table_versions[0].table.view_definition.representations[0].validation_connection #=> String
resp.table_versions[0].table.view_definition.representations[0].is_stale #=> Boolean
resp.table_versions[0].table.is_multi_dialect_view #=> Boolean
resp.table_versions[0].version_id #=> String
resp.next_token #=> String

Parameters:

• params (Hash) (defaults to: {}) —

  ({})

Options Hash (params):

• :catalog_id (String) —

  The ID of the Data Catalog where the tables reside. If none is provided, the Amazon Web Services account ID is used by default.

• :database_name (required, String) —

  The database in the catalog in which the table resides. For Hive compatibility, this name is entirely lowercase.

• :table_name (required, String) —

  The name of the table. For Hive compatibility, this name is entirely lowercase.

• :next_token (String) —

  A continuation token, if this is not the first call.

• :max_results (Integer) —

  The maximum number of table versions to return in one response.

Returns:

• (Types::GetTableVersionsResponse) —

  Returns a response object which responds to the following methods:

  • #table_versions => Array&lt;Types::TableVersion&gt;

  • #next_token => String

See Also:

• AWS API Documentation

# File 'lib/aws-sdk-glue/client.rb', line 11385

def get_table_versions(params = {}, options = {})
  req = build_request(:get_table_versions, params)
  req.send_request(options)
end

#get_tables(params = {}) ⇒ Types::GetTablesResponse

Retrieves the definitions of some or all of the tables in a given ‘Database`.

The returned response is a pageable response and is Enumerable. For details on usage see PageableResponse.

Examples:

Request syntax with placeholder values

resp = client.get_tables({
  catalog_id: "CatalogIdString",
  database_name: "NameString", # required
  expression: "FilterString",
  next_token: "Token",
  max_results: 1,
  transaction_id: "TransactionIdString",
  query_as_of_time: Time.now,
})

Response structure

resp.table_list #=> Array
resp.table_list[0].name #=> String
resp.table_list[0].database_name #=> String
resp.table_list[0].description #=> String
resp.table_list[0].owner #=> String
resp.table_list[0].create_time #=> Time
resp.table_list[0].update_time #=> Time
resp.table_list[0].last_access_time #=> Time
resp.table_list[0].last_analyzed_time #=> Time
resp.table_list[0].retention #=> Integer
resp.table_list[0].storage_descriptor.columns #=> Array
resp.table_list[0].storage_descriptor.columns[0].name #=> String
resp.table_list[0].storage_descriptor.columns[0].type #=> String
resp.table_list[0].storage_descriptor.columns[0].comment #=> String
resp.table_list[0].storage_descriptor.columns[0].parameters #=> Hash
resp.table_list[0].storage_descriptor.columns[0].parameters["KeyString"] #=> String
resp.table_list[0].storage_descriptor.location #=> String
resp.table_list[0].storage_descriptor.additional_locations #=> Array
resp.table_list[0].storage_descriptor.additional_locations[0] #=> String
resp.table_list[0].storage_descriptor.input_format #=> String
resp.table_list[0].storage_descriptor.output_format #=> String
resp.table_list[0].storage_descriptor.compressed #=> Boolean
resp.table_list[0].storage_descriptor.number_of_buckets #=> Integer
resp.table_list[0].storage_descriptor.serde_info.name #=> String
resp.table_list[0].storage_descriptor.serde_info.serialization_library #=> String
resp.table_list[0].storage_descriptor.serde_info.parameters #=> Hash
resp.table_list[0].storage_descriptor.serde_info.parameters["KeyString"] #=> String
resp.table_list[0].storage_descriptor.bucket_columns #=> Array
resp.table_list[0].storage_descriptor.bucket_columns[0] #=> String
resp.table_list[0].storage_descriptor.sort_columns #=> Array
resp.table_list[0].storage_descriptor.sort_columns[0].column #=> String
resp.table_list[0].storage_descriptor.sort_columns[0].sort_order #=> Integer
resp.table_list[0].storage_descriptor.parameters #=> Hash
resp.table_list[0].storage_descriptor.parameters["KeyString"] #=> String
resp.table_list[0].storage_descriptor.skewed_info.skewed_column_names #=> Array
resp.table_list[0].storage_descriptor.skewed_info.skewed_column_names[0] #=> String
resp.table_list[0].storage_descriptor.skewed_info.skewed_column_values #=> Array
resp.table_list[0].storage_descriptor.skewed_info.skewed_column_values[0] #=> String
resp.table_list[0].storage_descriptor.skewed_info.skewed_column_value_location_maps #=> Hash
resp.table_list[0].storage_descriptor.skewed_info.skewed_column_value_location_maps["ColumnValuesString"] #=> String
resp.table_list[0].storage_descriptor.stored_as_sub_directories #=> Boolean
resp.table_list[0].storage_descriptor.schema_reference.schema_id.schema_arn #=> String
resp.table_list[0].storage_descriptor.schema_reference.schema_id.schema_name #=> String
resp.table_list[0].storage_descriptor.schema_reference.schema_id.registry_name #=> String
resp.table_list[0].storage_descriptor.schema_reference.schema_version_id #=> String
resp.table_list[0].storage_descriptor.schema_reference.schema_version_number #=> Integer
resp.table_list[0].partition_keys #=> Array
resp.table_list[0].partition_keys[0].name #=> String
resp.table_list[0].partition_keys[0].type #=> String
resp.table_list[0].partition_keys[0].comment #=> String
resp.table_list[0].partition_keys[0].parameters #=> Hash
resp.table_list[0].partition_keys[0].parameters["KeyString"] #=> String
resp.table_list[0].view_original_text #=> String
resp.table_list[0].view_expanded_text #=> String
resp.table_list[0].table_type #=> String
resp.table_list[0].parameters #=> Hash
resp.table_list[0].parameters["KeyString"] #=> String
resp.table_list[0].created_by #=> String
resp.table_list[0].is_registered_with_lake_formation #=> Boolean
resp.table_list[0].target_table.catalog_id #=> String
resp.table_list[0].target_table.database_name #=> String
resp.table_list[0].target_table.name #=> String
resp.table_list[0].target_table.region #=> String
resp.table_list[0].catalog_id #=> String
resp.table_list[0].version_id #=> String
resp.table_list[0].federated_table.identifier #=> String
resp.table_list[0].federated_table.database_identifier #=> String
resp.table_list[0].federated_table.connection_name #=> String
resp.table_list[0].view_definition.is_protected #=> Boolean
resp.table_list[0].view_definition.definer #=> String
resp.table_list[0].view_definition.sub_objects #=> Array
resp.table_list[0].view_definition.sub_objects[0] #=> String
resp.table_list[0].view_definition.representations #=> Array
resp.table_list[0].view_definition.representations[0].dialect #=> String, one of "REDSHIFT", "ATHENA", "SPARK"
resp.table_list[0].view_definition.representations[0].dialect_version #=> String
resp.table_list[0].view_definition.representations[0].view_original_text #=> String
resp.table_list[0].view_definition.representations[0].view_expanded_text #=> String
resp.table_list[0].view_definition.representations[0].validation_connection #=> String
resp.table_list[0].view_definition.representations[0].is_stale #=> Boolean
resp.table_list[0].is_multi_dialect_view #=> Boolean
resp.next_token #=> String

Parameters:

• params (Hash) (defaults to: {}) —

  ({})

Options Hash (params):

• :catalog_id (String) —

  The ID of the Data Catalog where the tables reside. If none is provided, the Amazon Web Services account ID is used by default.

• :database_name (required, String) —

  The database in the catalog whose tables to list. For Hive compatibility, this name is entirely lowercase.

• :expression (String) —

  A regular expression pattern. If present, only those tables whose names match the pattern are returned.

• :next_token (String) —

  A continuation token, included if this is a continuation call.

• :max_results (Integer) —

  The maximum number of tables to return in a single response.

• :transaction_id (String) —

  The transaction ID at which to read the table contents.

• :query_as_of_time (Time, DateTime, Date, Integer, String) —

  The time as of when to read the table contents. If not set, the most recent transaction commit time will be used. Cannot be specified along with ‘TransactionId`.

Returns:

• (Types::GetTablesResponse) —

  Returns a response object which responds to the following methods:

  • #table_list => Array&lt;Types::Table&gt;

  • #next_token => String

See Also:

• AWS API Documentation

# File 'lib/aws-sdk-glue/client.rb', line 11526

def get_tables(params = {}, options = {})
  req = build_request(:get_tables, params)
  req.send_request(options)
end

#get_tags(params = {}) ⇒ Types::GetTagsResponse

Retrieves a list of tags associated with a resource.

Examples:

Request syntax with placeholder values

resp = client.get_tags({
  resource_arn: "GlueResourceArn", # required
})

Response structure

resp.tags #=> Hash
resp.tags["TagKey"] #=> String

Parameters:

• params (Hash) (defaults to: {}) —

  ({})

Options Hash (params):

• :resource_arn (required, String) —

  The Amazon Resource Name (ARN) of the resource for which to retrieve tags.

Returns:

• (Types::GetTagsResponse) —

  Returns a response object which responds to the following methods:

  • #tags => Hash&lt;String,String&gt;

See Also:

• AWS API Documentation

# File 'lib/aws-sdk-glue/client.rb', line 11556

def get_tags(params = {}, options = {})
  req = build_request(:get_tags, params)
  req.send_request(options)
end

#get_trigger(params = {}) ⇒ Types::GetTriggerResponse

Retrieves the definition of a trigger.

Examples:

Request syntax with placeholder values

resp = client.get_trigger({
  name: "NameString", # required
})

Response structure

resp.trigger.name #=> String
resp.trigger.workflow_name #=> String
resp.trigger.id #=> String
resp.trigger.type #=> String, one of "SCHEDULED", "CONDITIONAL", "ON_DEMAND", "EVENT"
resp.trigger.state #=> String, one of "CREATING", "CREATED", "ACTIVATING", "ACTIVATED", "DEACTIVATING", "DEACTIVATED", "DELETING", "UPDATING"
resp.trigger.description #=> String
resp.trigger.schedule #=> String
resp.trigger.actions #=> Array
resp.trigger.actions[0].job_name #=> String
resp.trigger.actions[0].arguments #=> Hash
resp.trigger.actions[0].arguments["GenericString"] #=> String
resp.trigger.actions[0].timeout #=> Integer
resp.trigger.actions[0].security_configuration #=> String
resp.trigger.actions[0].notification_property.notify_delay_after #=> Integer
resp.trigger.actions[0].crawler_name #=> String
resp.trigger.predicate.logical #=> String, one of "AND", "ANY"
resp.trigger.predicate.conditions #=> Array
resp.trigger.predicate.conditions[0].logical_operator #=> String, one of "EQUALS"
resp.trigger.predicate.conditions[0].job_name #=> String
resp.trigger.predicate.conditions[0].state #=> String, one of "STARTING", "RUNNING", "STOPPING", "STOPPED", "SUCCEEDED", "FAILED", "TIMEOUT", "ERROR", "WAITING", "EXPIRED"
resp.trigger.predicate.conditions[0].crawler_name #=> String
resp.trigger.predicate.conditions[0].crawl_state #=> String, one of "RUNNING", "CANCELLING", "CANCELLED", "SUCCEEDED", "FAILED", "ERROR"
resp.trigger.event_batching_condition.batch_size #=> Integer
resp.trigger.event_batching_condition.batch_window #=> Integer

Parameters:

• params (Hash) (defaults to: {}) —

  ({})

Options Hash (params):

• :name (required, String) —

  The name of the trigger to retrieve.

Returns:

• (Types::GetTriggerResponse) —

  Returns a response object which responds to the following methods:

  • #trigger => Types::Trigger

See Also:

• AWS API Documentation

# File 'lib/aws-sdk-glue/client.rb', line 11607

def get_trigger(params = {}, options = {})
  req = build_request(:get_trigger, params)
  req.send_request(options)
end

#get_triggers(params = {}) ⇒ Types::GetTriggersResponse

Gets all the triggers associated with a job.

The returned response is a pageable response and is Enumerable. For details on usage see PageableResponse.

Examples:

Request syntax with placeholder values

resp = client.get_triggers({
  next_token: "GenericString",
  dependent_job_name: "NameString",
  max_results: 1,
})

Response structure

resp.triggers #=> Array
resp.triggers[0].name #=> String
resp.triggers[0].workflow_name #=> String
resp.triggers[0].id #=> String
resp.triggers[0].type #=> String, one of "SCHEDULED", "CONDITIONAL", "ON_DEMAND", "EVENT"
resp.triggers[0].state #=> String, one of "CREATING", "CREATED", "ACTIVATING", "ACTIVATED", "DEACTIVATING", "DEACTIVATED", "DELETING", "UPDATING"
resp.triggers[0].description #=> String
resp.triggers[0].schedule #=> String
resp.triggers[0].actions #=> Array
resp.triggers[0].actions[0].job_name #=> String
resp.triggers[0].actions[0].arguments #=> Hash
resp.triggers[0].actions[0].arguments["GenericString"] #=> String
resp.triggers[0].actions[0].timeout #=> Integer
resp.triggers[0].actions[0].security_configuration #=> String
resp.triggers[0].actions[0].notification_property.notify_delay_after #=> Integer
resp.triggers[0].actions[0].crawler_name #=> String
resp.triggers[0].predicate.logical #=> String, one of "AND", "ANY"
resp.triggers[0].predicate.conditions #=> Array
resp.triggers[0].predicate.conditions[0].logical_operator #=> String, one of "EQUALS"
resp.triggers[0].predicate.conditions[0].job_name #=> String
resp.triggers[0].predicate.conditions[0].state #=> String, one of "STARTING", "RUNNING", "STOPPING", "STOPPED", "SUCCEEDED", "FAILED", "TIMEOUT", "ERROR", "WAITING", "EXPIRED"
resp.triggers[0].predicate.conditions[0].crawler_name #=> String
resp.triggers[0].predicate.conditions[0].crawl_state #=> String, one of "RUNNING", "CANCELLING", "CANCELLED", "SUCCEEDED", "FAILED", "ERROR"
resp.triggers[0].event_batching_condition.batch_size #=> Integer
resp.triggers[0].event_batching_condition.batch_window #=> Integer
resp.next_token #=> String

Parameters:

• params (Hash) (defaults to: {}) —

  ({})

Options Hash (params):

• :next_token (String) —

  A continuation token, if this is a continuation call.

• :dependent_job_name (String) —

  The name of the job to retrieve triggers for. The trigger that can start this job is returned, and if there is no such trigger, all triggers are returned.

• :max_results (Integer) —

  The maximum size of the response.

Returns:

• (Types::GetTriggersResponse) —

  Returns a response object which responds to the following methods:

  • #triggers => Array&lt;Types::Trigger&gt;

  • #next_token => String

See Also:

• AWS API Documentation

# File 'lib/aws-sdk-glue/client.rb', line 11673

def get_triggers(params = {}, options = {})
  req = build_request(:get_triggers, params)
  req.send_request(options)
end

#get_unfiltered_partition_metadata(params = {}) ⇒ Types::GetUnfilteredPartitionMetadataResponse

Retrieves partition metadata from the Data Catalog that contains unfiltered metadata.

For IAM authorization, the public IAM action associated with this API is ‘glue:GetPartition`.

Examples:

Request syntax with placeholder values

resp = client.get_unfiltered_partition_metadata({
  region: "ValueString",
  catalog_id: "CatalogIdString", # required
  database_name: "NameString", # required
  table_name: "NameString", # required
  partition_values: ["ValueString"], # required
  audit_context: {
    additional_audit_context: "AuditContextString",
    requested_columns: ["ColumnNameString"],
    all_columns_requested: false,
  },
  supported_permission_types: ["COLUMN_PERMISSION"], # required, accepts COLUMN_PERMISSION, CELL_FILTER_PERMISSION, NESTED_PERMISSION, NESTED_CELL_PERMISSION
  query_session_context: {
    query_id: "HashString",
    query_start_time: Time.now,
    cluster_id: "NullableString",
    query_authorization_id: "HashString",
    additional_context: {
      "ContextKey" => "ContextValue",
    },
  },
})

Response structure

resp.data.partition.values #=> Array
resp.data.partition.values[0] #=> String
resp.data.partition.database_name #=> String
resp.data.partition.table_name #=> String
resp.data.partition.creation_time #=> Time
resp.data.partition.last_access_time #=> Time
resp.data.partition.storage_descriptor.columns #=> Array
resp.data.partition.storage_descriptor.columns[0].name #=> String
resp.data.partition.storage_descriptor.columns[0].type #=> String
resp.data.partition.storage_descriptor.columns[0].comment #=> String
resp.data.partition.storage_descriptor.columns[0].parameters #=> Hash
resp.data.partition.storage_descriptor.columns[0].parameters["KeyString"] #=> String
resp.data.partition.storage_descriptor.location #=> String
resp.data.partition.storage_descriptor.additional_locations #=> Array
resp.data.partition.storage_descriptor.additional_locations[0] #=> String
resp.data.partition.storage_descriptor.input_format #=> String
resp.data.partition.storage_descriptor.output_format #=> String
resp.data.partition.storage_descriptor.compressed #=> Boolean
resp.data.partition.storage_descriptor.number_of_buckets #=> Integer
resp.data.partition.storage_descriptor.serde_info.name #=> String
resp.data.partition.storage_descriptor.serde_info.serialization_library #=> String
resp.data.partition.storage_descriptor.serde_info.parameters #=> Hash
resp.data.partition.storage_descriptor.serde_info.parameters["KeyString"] #=> String
resp.data.partition.storage_descriptor.bucket_columns #=> Array
resp.data.partition.storage_descriptor.bucket_columns[0] #=> String
resp.data.partition.storage_descriptor.sort_columns #=> Array
resp.data.partition.storage_descriptor.sort_columns[0].column #=> String
resp.data.partition.storage_descriptor.sort_columns[0].sort_order #=> Integer
resp.data.partition.storage_descriptor.parameters #=> Hash
resp.data.partition.storage_descriptor.parameters["KeyString"] #=> String
resp.data.partition.storage_descriptor.skewed_info.skewed_column_names #=> Array
resp.data.partition.storage_descriptor.skewed_info.skewed_column_names[0] #=> String
resp.data.partition.storage_descriptor.skewed_info.skewed_column_values #=> Array
resp.data.partition.storage_descriptor.skewed_info.skewed_column_values[0] #=> String
resp.data.partition.storage_descriptor.skewed_info.skewed_column_value_location_maps #=> Hash
resp.data.partition.storage_descriptor.skewed_info.skewed_column_value_location_maps["ColumnValuesString"] #=> String
resp.data.partition.storage_descriptor.stored_as_sub_directories #=> Boolean
resp.data.partition.storage_descriptor.schema_reference.schema_id.schema_arn #=> String
resp.data.partition.storage_descriptor.schema_reference.schema_id.schema_name #=> String
resp.data.partition.storage_descriptor.schema_reference.schema_id.registry_name #=> String
resp.data.partition.storage_descriptor.schema_reference.schema_version_id #=> String
resp.data.partition.storage_descriptor.schema_reference.schema_version_number #=> Integer
resp.data.partition.parameters #=> Hash
resp.data.partition.parameters["KeyString"] #=> String
resp.data.partition.last_analyzed_time #=> Time
resp.data.partition.catalog_id #=> String
resp.authorized_columns #=> Array
resp.authorized_columns[0] #=> String
resp.is_registered_with_lake_formation #=> Boolean

Parameters:

• params (Hash) (defaults to: {}) —

  ({})

Options Hash (params):

• :region (String) —

  Specified only if the base tables belong to a different Amazon Web Services Region.

• :catalog_id (required, String) —

  The catalog ID where the partition resides.

• :database_name (required, String) — default: Required —

  Specifies the name of a database that contains the partition.

• :table_name (required, String) — default: Required —

  Specifies the name of a table that contains the partition.

• :partition_values (required, Array<String>) — default: Required —

  A list of partition key values.

• :audit_context (Types::AuditContext) —

  A structure containing Lake Formation audit context information.

• :supported_permission_types (required, Array<String>) — default: Required —

  A list of supported permission types.

• :query_session_context (Types::QuerySessionContext) —

  A structure used as a protocol between query engines and Lake Formation or Glue. Contains both a Lake Formation generated authorization identifier and information from the request’s authorization context.

Returns:

• (Types::GetUnfilteredPartitionMetadataResponse) —

  Returns a response object which responds to the following methods:

  • #data.partition => Types::Partition (This method conflicts with a method on Response, call it through the data member)

  • #authorized_columns => Array&lt;String&gt;

  • #is_registered_with_lake_formation => Boolean

See Also:

• AWS API Documentation

# File 'lib/aws-sdk-glue/client.rb', line 11800

def get_unfiltered_partition_metadata(params = {}, options = {})
  req = build_request(:get_unfiltered_partition_metadata, params)
  req.send_request(options)
end

#get_unfiltered_partitions_metadata(params = {}) ⇒ Types::GetUnfilteredPartitionsMetadataResponse

Retrieves partition metadata from the Data Catalog that contains unfiltered metadata.

For IAM authorization, the public IAM action associated with this API is ‘glue:GetPartitions`.

The returned response is a pageable response and is Enumerable. For details on usage see PageableResponse.

Examples:

Request syntax with placeholder values

resp = client.get_unfiltered_partitions_metadata({
  region: "ValueString",
  catalog_id: "CatalogIdString", # required
  database_name: "NameString", # required
  table_name: "NameString", # required
  expression: "PredicateString",
  audit_context: {
    additional_audit_context: "AuditContextString",
    requested_columns: ["ColumnNameString"],
    all_columns_requested: false,
  },
  supported_permission_types: ["COLUMN_PERMISSION"], # required, accepts COLUMN_PERMISSION, CELL_FILTER_PERMISSION, NESTED_PERMISSION, NESTED_CELL_PERMISSION
  next_token: "Token",
  segment: {
    segment_number: 1, # required
    total_segments: 1, # required
  },
  max_results: 1,
  query_session_context: {
    query_id: "HashString",
    query_start_time: Time.now,
    cluster_id: "NullableString",
    query_authorization_id: "HashString",
    additional_context: {
      "ContextKey" => "ContextValue",
    },
  },
})

Response structure

resp.unfiltered_partitions #=> Array
resp.unfiltered_partitions[0].partition.values #=> Array
resp.unfiltered_partitions[0].partition.values[0] #=> String
resp.unfiltered_partitions[0].partition.database_name #=> String
resp.unfiltered_partitions[0].partition.table_name #=> String
resp.unfiltered_partitions[0].partition.creation_time #=> Time
resp.unfiltered_partitions[0].partition.last_access_time #=> Time
resp.unfiltered_partitions[0].partition.storage_descriptor.columns #=> Array
resp.unfiltered_partitions[0].partition.storage_descriptor.columns[0].name #=> String
resp.unfiltered_partitions[0].partition.storage_descriptor.columns[0].type #=> String
resp.unfiltered_partitions[0].partition.storage_descriptor.columns[0].comment #=> String
resp.unfiltered_partitions[0].partition.storage_descriptor.columns[0].parameters #=> Hash
resp.unfiltered_partitions[0].partition.storage_descriptor.columns[0].parameters["KeyString"] #=> String
resp.unfiltered_partitions[0].partition.storage_descriptor.location #=> String
resp.unfiltered_partitions[0].partition.storage_descriptor.additional_locations #=> Array
resp.unfiltered_partitions[0].partition.storage_descriptor.additional_locations[0] #=> String
resp.unfiltered_partitions[0].partition.storage_descriptor.input_format #=> String
resp.unfiltered_partitions[0].partition.storage_descriptor.output_format #=> String
resp.unfiltered_partitions[0].partition.storage_descriptor.compressed #=> Boolean
resp.unfiltered_partitions[0].partition.storage_descriptor.number_of_buckets #=> Integer
resp.unfiltered_partitions[0].partition.storage_descriptor.serde_info.name #=> String
resp.unfiltered_partitions[0].partition.storage_descriptor.serde_info.serialization_library #=> String
resp.unfiltered_partitions[0].partition.storage_descriptor.serde_info.parameters #=> Hash
resp.unfiltered_partitions[0].partition.storage_descriptor.serde_info.parameters["KeyString"] #=> String
resp.unfiltered_partitions[0].partition.storage_descriptor.bucket_columns #=> Array
resp.unfiltered_partitions[0].partition.storage_descriptor.bucket_columns[0] #=> String
resp.unfiltered_partitions[0].partition.storage_descriptor.sort_columns #=> Array
resp.unfiltered_partitions[0].partition.storage_descriptor.sort_columns[0].column #=> String
resp.unfiltered_partitions[0].partition.storage_descriptor.sort_columns[0].sort_order #=> Integer
resp.unfiltered_partitions[0].partition.storage_descriptor.parameters #=> Hash
resp.unfiltered_partitions[0].partition.storage_descriptor.parameters["KeyString"] #=> String
resp.unfiltered_partitions[0].partition.storage_descriptor.skewed_info.skewed_column_names #=> Array
resp.unfiltered_partitions[0].partition.storage_descriptor.skewed_info.skewed_column_names[0] #=> String
resp.unfiltered_partitions[0].partition.storage_descriptor.skewed_info.skewed_column_values #=> Array
resp.unfiltered_partitions[0].partition.storage_descriptor.skewed_info.skewed_column_values[0] #=> String
resp.unfiltered_partitions[0].partition.storage_descriptor.skewed_info.skewed_column_value_location_maps #=> Hash
resp.unfiltered_partitions[0].partition.storage_descriptor.skewed_info.skewed_column_value_location_maps["ColumnValuesString"] #=> String
resp.unfiltered_partitions[0].partition.storage_descriptor.stored_as_sub_directories #=> Boolean
resp.unfiltered_partitions[0].partition.storage_descriptor.schema_reference.schema_id.schema_arn #=> String
resp.unfiltered_partitions[0].partition.storage_descriptor.schema_reference.schema_id.schema_name #=> String
resp.unfiltered_partitions[0].partition.storage_descriptor.schema_reference.schema_id.registry_name #=> String
resp.unfiltered_partitions[0].partition.storage_descriptor.schema_reference.schema_version_id #=> String
resp.unfiltered_partitions[0].partition.storage_descriptor.schema_reference.schema_version_number #=> Integer
resp.unfiltered_partitions[0].partition.parameters #=> Hash
resp.unfiltered_partitions[0].partition.parameters["KeyString"] #=> String
resp.unfiltered_partitions[0].partition.last_analyzed_time #=> Time
resp.unfiltered_partitions[0].partition.catalog_id #=> String
resp.unfiltered_partitions[0].authorized_columns #=> Array
resp.unfiltered_partitions[0].authorized_columns[0] #=> String
resp.unfiltered_partitions[0].is_registered_with_lake_formation #=> Boolean
resp.next_token #=> String

Parameters:

• params (Hash) (defaults to: {}) —

  ({})

Options Hash (params):

• :region (String) —

  Specified only if the base tables belong to a different Amazon Web Services Region.

• :catalog_id (required, String) —

  The ID of the Data Catalog where the partitions in question reside. If none is provided, the AWS account ID is used by default.

• :database_name (required, String) —

  The name of the catalog database where the partitions reside.

• :table_name (required, String) —

  The name of the table that contains the partition.

• :expression (String) —

  An expression that filters the partitions to be returned.

  The expression uses SQL syntax similar to the SQL ‘WHERE` filter clause. The SQL statement parser [JSQLParser] parses the expression.

  Operators: The following are the operators that you can use in the ‘Expression` API call:

  : Checks whether the values of the two operands are equal; if yes,

  then the condition becomes true.
  
  Example: Assume 'variable a' holds 10 and 'variable b' holds 20.
  
  (a = b) is not true.
  

  &lt; &gt;

  : Checks whether the values of two operands are equal; if the values

  are not equal, then the condition becomes true.
  
  Example: (a < > b) is true.
  

  &gt;

  : Checks whether the value of the left operand is greater than the

  value of the right operand; if yes, then the condition becomes true.
  
  Example: (a > b) is not true.
  

  &lt;

  : Checks whether the value of the left operand is less than the value

  of the right operand; if yes, then the condition becomes true.
  
  Example: (a < b) is true.
  

  &gt;=

  : Checks whether the value of the left operand is greater than or

  equal to the value of the right operand; if yes, then the condition
  becomes true.
  
  Example: (a >= b) is not true.
  

  &lt;=

  : Checks whether the value of the left operand is less than or equal

  to the value of the right operand; if yes, then the condition
  becomes true.
  
  Example: (a <= b) is true.
  

  AND, OR, IN, BETWEEN, LIKE, NOT, IS NULL

  : Logical operators.

  *Supported Partition Key Types*: The following are the supported partition keys.

  • ‘string`

  • ‘date`

  • ‘timestamp`

  • ‘int`

  • ‘bigint`

  • ‘long`

  • ‘tinyint`

  • ‘smallint`

  • ‘decimal`

  If an type is encountered that is not valid, an exception is thrown.

  [1]: jsqlparser.sourceforge.net/home.php

• :audit_context (Types::AuditContext) —

  A structure containing Lake Formation audit context information.

• :supported_permission_types (required, Array<String>) —

  A list of supported permission types.

• :next_token (String) —

  A continuation token, if this is not the first call to retrieve these partitions.

• :segment (Types::Segment) —

  The segment of the table’s partitions to scan in this request.

• :max_results (Integer) —

  The maximum number of partitions to return in a single response.

• :query_session_context (Types::QuerySessionContext) —

  A structure used as a protocol between query engines and Lake Formation or Glue. Contains both a Lake Formation generated authorization identifier and information from the request’s authorization context.

Returns:

• (Types::GetUnfilteredPartitionsMetadataResponse) —

  Returns a response object which responds to the following methods:

  • #unfiltered_partitions => Array&lt;Types::UnfilteredPartition&gt;

  • #next_token => String

See Also:

• AWS API Documentation

# File 'lib/aws-sdk-glue/client.rb', line 12030

def get_unfiltered_partitions_metadata(params = {}, options = {})
  req = build_request(:get_unfiltered_partitions_metadata, params)
  req.send_request(options)
end

#get_unfiltered_table_metadata(params = {}) ⇒ Types::GetUnfilteredTableMetadataResponse

Allows a third-party analytical engine to retrieve unfiltered table metadata from the Data Catalog.

For IAM authorization, the public IAM action associated with this API is ‘glue:GetTable`.

Examples:

Request syntax with placeholder values

resp = client.get_unfiltered_table_metadata({
  region: "ValueString",
  catalog_id: "CatalogIdString", # required
  database_name: "NameString", # required
  name: "NameString", # required
  audit_context: {
    additional_audit_context: "AuditContextString",
    requested_columns: ["ColumnNameString"],
    all_columns_requested: false,
  },
  supported_permission_types: ["COLUMN_PERMISSION"], # required, accepts COLUMN_PERMISSION, CELL_FILTER_PERMISSION, NESTED_PERMISSION, NESTED_CELL_PERMISSION
  parent_resource_arn: "ArnString",
  root_resource_arn: "ArnString",
  supported_dialect: {
    dialect: "REDSHIFT", # accepts REDSHIFT, ATHENA, SPARK
    dialect_version: "ViewDialectVersionString",
  },
  permissions: ["ALL"], # accepts ALL, SELECT, ALTER, DROP, DELETE, INSERT, CREATE_DATABASE, CREATE_TABLE, DATA_LOCATION_ACCESS
  query_session_context: {
    query_id: "HashString",
    query_start_time: Time.now,
    cluster_id: "NullableString",
    query_authorization_id: "HashString",
    additional_context: {
      "ContextKey" => "ContextValue",
    },
  },
})

Response structure

resp.table.name #=> String
resp.table.database_name #=> String
resp.table.description #=> String
resp.table.owner #=> String
resp.table.create_time #=> Time
resp.table.update_time #=> Time
resp.table.last_access_time #=> Time
resp.table.last_analyzed_time #=> Time
resp.table.retention #=> Integer
resp.table.storage_descriptor.columns #=> Array
resp.table.storage_descriptor.columns[0].name #=> String
resp.table.storage_descriptor.columns[0].type #=> String
resp.table.storage_descriptor.columns[0].comment #=> String
resp.table.storage_descriptor.columns[0].parameters #=> Hash
resp.table.storage_descriptor.columns[0].parameters["KeyString"] #=> String
resp.table.storage_descriptor.location #=> String
resp.table.storage_descriptor.additional_locations #=> Array
resp.table.storage_descriptor.additional_locations[0] #=> String
resp.table.storage_descriptor.input_format #=> String
resp.table.storage_descriptor.output_format #=> String
resp.table.storage_descriptor.compressed #=> Boolean
resp.table.storage_descriptor.number_of_buckets #=> Integer
resp.table.storage_descriptor.serde_info.name #=> String
resp.table.storage_descriptor.serde_info.serialization_library #=> String
resp.table.storage_descriptor.serde_info.parameters #=> Hash
resp.table.storage_descriptor.serde_info.parameters["KeyString"] #=> String
resp.table.storage_descriptor.bucket_columns #=> Array
resp.table.storage_descriptor.bucket_columns[0] #=> String
resp.table.storage_descriptor.sort_columns #=> Array
resp.table.storage_descriptor.sort_columns[0].column #=> String
resp.table.storage_descriptor.sort_columns[0].sort_order #=> Integer
resp.table.storage_descriptor.parameters #=> Hash
resp.table.storage_descriptor.parameters["KeyString"] #=> String
resp.table.storage_descriptor.skewed_info.skewed_column_names #=> Array
resp.table.storage_descriptor.skewed_info.skewed_column_names[0] #=> String
resp.table.storage_descriptor.skewed_info.skewed_column_values #=> Array
resp.table.storage_descriptor.skewed_info.skewed_column_values[0] #=> String
resp.table.storage_descriptor.skewed_info.skewed_column_value_location_maps #=> Hash
resp.table.storage_descriptor.skewed_info.skewed_column_value_location_maps["ColumnValuesString"] #=> String
resp.table.storage_descriptor.stored_as_sub_directories #=> Boolean
resp.table.storage_descriptor.schema_reference.schema_id.schema_arn #=> String
resp.table.storage_descriptor.schema_reference.schema_id.schema_name #=> String
resp.table.storage_descriptor.schema_reference.schema_id.registry_name #=> String
resp.table.storage_descriptor.schema_reference.schema_version_id #=> String
resp.table.storage_descriptor.schema_reference.schema_version_number #=> Integer
resp.table.partition_keys #=> Array
resp.table.partition_keys[0].name #=> String
resp.table.partition_keys[0].type #=> String
resp.table.partition_keys[0].comment #=> String
resp.table.partition_keys[0].parameters #=> Hash
resp.table.partition_keys[0].parameters["KeyString"] #=> String
resp.table.view_original_text #=> String
resp.table.view_expanded_text #=> String
resp.table.table_type #=> String
resp.table.parameters #=> Hash
resp.table.parameters["KeyString"] #=> String
resp.table.created_by #=> String
resp.table.is_registered_with_lake_formation #=> Boolean
resp.table.target_table.catalog_id #=> String
resp.table.target_table.database_name #=> String
resp.table.target_table.name #=> String
resp.table.target_table.region #=> String
resp.table.catalog_id #=> String
resp.table.version_id #=> String
resp.table.federated_table.identifier #=> String
resp.table.federated_table.database_identifier #=> String
resp.table.federated_table.connection_name #=> String
resp.table.view_definition.is_protected #=> Boolean
resp.table.view_definition.definer #=> String
resp.table.view_definition.sub_objects #=> Array
resp.table.view_definition.sub_objects[0] #=> String
resp.table.view_definition.representations #=> Array
resp.table.view_definition.representations[0].dialect #=> String, one of "REDSHIFT", "ATHENA", "SPARK"
resp.table.view_definition.representations[0].dialect_version #=> String
resp.table.view_definition.representations[0].view_original_text #=> String
resp.table.view_definition.representations[0].view_expanded_text #=> String
resp.table.view_definition.representations[0].validation_connection #=> String
resp.table.view_definition.representations[0].is_stale #=> Boolean
resp.table.is_multi_dialect_view #=> Boolean
resp.authorized_columns #=> Array
resp.authorized_columns[0] #=> String
resp.is_registered_with_lake_formation #=> Boolean
resp.cell_filters #=> Array
resp.cell_filters[0].column_name #=> String
resp.cell_filters[0].row_filter_expression #=> String
resp.query_authorization_id #=> String
resp.is_multi_dialect_view #=> Boolean
resp.resource_arn #=> String
resp.is_protected #=> Boolean
resp.permissions #=> Array
resp.permissions[0] #=> String, one of "ALL", "SELECT", "ALTER", "DROP", "DELETE", "INSERT", "CREATE_DATABASE", "CREATE_TABLE", "DATA_LOCATION_ACCESS"
resp.row_filter #=> String

Parameters:

• params (Hash) (defaults to: {}) —

  ({})

Options Hash (params):

• :region (String) —

  Specified only if the base tables belong to a different Amazon Web Services Region.

• :catalog_id (required, String) —

  The catalog ID where the table resides.

• :database_name (required, String) — default: Required —

  Specifies the name of a database that contains the table.

• :name (required, String) — default: Required —

  Specifies the name of a table for which you are requesting metadata.

• :audit_context (Types::AuditContext) —

  A structure containing Lake Formation audit context information.

• :supported_permission_types (required, Array<String>) —

  Indicates the level of filtering a third-party analytical engine is capable of enforcing when calling the ‘GetUnfilteredTableMetadata` API operation. Accepted values are:

  • ‘COLUMN_PERMISSION` - Column permissions ensure that users can access only specific columns in the table. If there are particular columns contain sensitive data, data lake administrators can define column filters that exclude access to specific columns.

  • ‘CELL_FILTER_PERMISSION` - Cell-level filtering combines column filtering (include or exclude columns) and row filter expressions to restrict access to individual elements in the table.

  • ‘NESTED_PERMISSION` - Nested permissions combines cell-level filtering and nested column filtering to restrict access to columns and/or nested columns in specific rows based on row filter expressions.

  • ‘NESTED_CELL_PERMISSION` - Nested cell permissions combines nested permission with nested cell-level filtering. This allows different subsets of nested columns to be restricted based on an array of row filter expressions.

  Note: Each of these permission types follows a hierarchical order where each subsequent permission type includes all permission of the previous type.

  Important: If you provide a supported permission type that doesn’t match the user’s level of permissions on the table, then Lake Formation raises an exception. For example, if the third-party engine calling the ‘GetUnfilteredTableMetadata` operation can enforce only column-level filtering, and the user has nested cell filtering applied on the table, Lake Formation throws an exception, and will not return unfiltered table metadata and data access credentials.

• :parent_resource_arn (String) —

  The resource ARN of the view.

• :root_resource_arn (String) —

  The resource ARN of the root view in a chain of nested views.

• :supported_dialect (Types::SupportedDialect) —

  A structure specifying the dialect and dialect version used by the query engine.

• :permissions (Array<String>) —

  The Lake Formation data permissions of the caller on the table. Used to authorize the call when no view context is found.

• :query_session_context (Types::QuerySessionContext) —

  A structure used as a protocol between query engines and Lake Formation or Glue. Contains both a Lake Formation generated authorization identifier and information from the request’s authorization context.

Returns:

• (Types::GetUnfilteredTableMetadataResponse) —

  Returns a response object which responds to the following methods:

  • #table => Types::Table

  • #authorized_columns => Array&lt;String&gt;

  • #is_registered_with_lake_formation => Boolean

  • #cell_filters => Array&lt;Types::ColumnRowFilter&gt;

  • #query_authorization_id => String

  • #is_multi_dialect_view => Boolean

  • #resource_arn => String

  • #is_protected => Boolean

  • #permissions => Array&lt;String&gt;

  • #row_filter => String

See Also:

• AWS API Documentation

# File 'lib/aws-sdk-glue/client.rb', line 12257

def get_unfiltered_table_metadata(params = {}, options = {})
  req = build_request(:get_unfiltered_table_metadata, params)
  req.send_request(options)
end

#get_usage_profile(params = {}) ⇒ Types::GetUsageProfileResponse

Retrieves information about the specified Glue usage profile.

Examples:

Request syntax with placeholder values

resp = client.get_usage_profile({
  name: "NameString", # required
})

Response structure

resp.name #=> String
resp.description #=> String
resp.configuration.session_configuration #=> Hash
resp.configuration.session_configuration["NameString"].default_value #=> String
resp.configuration.session_configuration["NameString"].allowed_values #=> Array
resp.configuration.session_configuration["NameString"].allowed_values[0] #=> String
resp.configuration.session_configuration["NameString"].min_value #=> String
resp.configuration.session_configuration["NameString"].max_value #=> String
resp.configuration.job_configuration #=> Hash
resp.configuration.job_configuration["NameString"].default_value #=> String
resp.configuration.job_configuration["NameString"].allowed_values #=> Array
resp.configuration.job_configuration["NameString"].allowed_values[0] #=> String
resp.configuration.job_configuration["NameString"].min_value #=> String
resp.configuration.job_configuration["NameString"].max_value #=> String
resp.created_on #=> Time
resp.last_modified_on #=> Time

Parameters:

• params (Hash) (defaults to: {}) —

  ({})

Options Hash (params):

• :name (required, String) —

  The name of the usage profile to retrieve.

Returns:

• (Types::GetUsageProfileResponse) —

  Returns a response object which responds to the following methods:

  • #name => String

  • #description => String

  • #configuration => Types::ProfileConfiguration

  • #created_on => Time

  • #last_modified_on => Time

See Also:

• AWS API Documentation

# File 'lib/aws-sdk-glue/client.rb', line 12304

def get_usage_profile(params = {}, options = {})
  req = build_request(:get_usage_profile, params)
  req.send_request(options)
end

#get_user_defined_function(params = {}) ⇒ Types::GetUserDefinedFunctionResponse

Retrieves a specified function definition from the Data Catalog.

Examples:

Request syntax with placeholder values

resp = client.get_user_defined_function({
  catalog_id: "CatalogIdString",
  database_name: "NameString", # required
  function_name: "NameString", # required
})

Response structure

resp.user_defined_function.function_name #=> String
resp.user_defined_function.database_name #=> String
resp.user_defined_function.class_name #=> String
resp.user_defined_function.owner_name #=> String
resp.user_defined_function.owner_type #=> String, one of "USER", "ROLE", "GROUP"
resp.user_defined_function.create_time #=> Time
resp.user_defined_function.resource_uris #=> Array
resp.user_defined_function.resource_uris[0].resource_type #=> String, one of "JAR", "FILE", "ARCHIVE"
resp.user_defined_function.resource_uris[0].uri #=> String
resp.user_defined_function.catalog_id #=> String

Parameters:

• params (Hash) (defaults to: {}) —

  ({})

Options Hash (params):

• :catalog_id (String) —

  The ID of the Data Catalog where the function to be retrieved is located. If none is provided, the Amazon Web Services account ID is used by default.

• :database_name (required, String) —

  The name of the catalog database where the function is located.

• :function_name (required, String) —

  The name of the function.

Returns:

• (Types::GetUserDefinedFunctionResponse) —

  Returns a response object which responds to the following methods:

  • #user_defined_function => Types::UserDefinedFunction

See Also:

• AWS API Documentation

# File 'lib/aws-sdk-glue/client.rb', line 12351

def get_user_defined_function(params = {}, options = {})
  req = build_request(:get_user_defined_function, params)
  req.send_request(options)
end

#get_user_defined_functions(params = {}) ⇒ Types::GetUserDefinedFunctionsResponse

Retrieves multiple function definitions from the Data Catalog.

The returned response is a pageable response and is Enumerable. For details on usage see PageableResponse.

Examples:

Request syntax with placeholder values

resp = client.get_user_defined_functions({
  catalog_id: "CatalogIdString",
  database_name: "NameString",
  pattern: "NameString", # required
  next_token: "Token",
  max_results: 1,
})

Response structure

resp.user_defined_functions #=> Array
resp.user_defined_functions[0].function_name #=> String
resp.user_defined_functions[0].database_name #=> String
resp.user_defined_functions[0].class_name #=> String
resp.user_defined_functions[0].owner_name #=> String
resp.user_defined_functions[0].owner_type #=> String, one of "USER", "ROLE", "GROUP"
resp.user_defined_functions[0].create_time #=> Time
resp.user_defined_functions[0].resource_uris #=> Array
resp.user_defined_functions[0].resource_uris[0].resource_type #=> String, one of "JAR", "FILE", "ARCHIVE"
resp.user_defined_functions[0].resource_uris[0].uri #=> String
resp.user_defined_functions[0].catalog_id #=> String
resp.next_token #=> String

Parameters:

• params (Hash) (defaults to: {}) —

  ({})

Options Hash (params):

• :catalog_id (String) —

  The ID of the Data Catalog where the functions to be retrieved are located. If none is provided, the Amazon Web Services account ID is used by default.

• :database_name (String) —

  The name of the catalog database where the functions are located. If none is provided, functions from all the databases across the catalog will be returned.

• :pattern (required, String) —

  An optional function-name pattern string that filters the function definitions returned.

• :next_token (String) —

  A continuation token, if this is a continuation call.

• :max_results (Integer) —

  The maximum number of functions to return in one response.

Returns:

• (Types::GetUserDefinedFunctionsResponse) —

  Returns a response object which responds to the following methods:

  • #user_defined_functions => Array&lt;Types::UserDefinedFunction&gt;

  • #next_token => String

See Also:

• AWS API Documentation

# File 'lib/aws-sdk-glue/client.rb', line 12414

def get_user_defined_functions(params = {}, options = {})
  req = build_request(:get_user_defined_functions, params)
  req.send_request(options)
end

#get_workflow(params = {}) ⇒ Types::GetWorkflowResponse

Retrieves resource metadata for a workflow.

Examples:

Request syntax with placeholder values

resp = client.get_workflow({
  name: "NameString", # required
  include_graph: false,
})

Response structure

resp.workflow.name #=> String
resp.workflow.description #=> String
resp.workflow.default_run_properties #=> Hash
resp.workflow.default_run_properties["IdString"] #=> String
resp.workflow.created_on #=> Time
resp.workflow.last_modified_on #=> Time
resp.workflow.last_run.name #=> String
resp.workflow.last_run.workflow_run_id #=> String
resp.workflow.last_run.previous_run_id #=> String
resp.workflow.last_run.workflow_run_properties #=> Hash
resp.workflow.last_run.workflow_run_properties["IdString"] #=> String
resp.workflow.last_run.started_on #=> Time
resp.workflow.last_run.completed_on #=> Time
resp.workflow.last_run.status #=> String, one of "RUNNING", "COMPLETED", "STOPPING", "STOPPED", "ERROR"
resp.workflow.last_run.error_message #=> String
resp.workflow.last_run.statistics.total_actions #=> Integer
resp.workflow.last_run.statistics.timeout_actions #=> Integer
resp.workflow.last_run.statistics.failed_actions #=> Integer
resp.workflow.last_run.statistics.stopped_actions #=> Integer
resp.workflow.last_run.statistics.succeeded_actions #=> Integer
resp.workflow.last_run.statistics.running_actions #=> Integer
resp.workflow.last_run.statistics.errored_actions #=> Integer
resp.workflow.last_run.statistics.waiting_actions #=> Integer
resp.workflow.last_run.graph.nodes #=> Array
resp.workflow.last_run.graph.nodes[0].type #=> String, one of "CRAWLER", "JOB", "TRIGGER"
resp.workflow.last_run.graph.nodes[0].name #=> String
resp.workflow.last_run.graph.nodes[0].unique_id #=> String
resp.workflow.last_run.graph.nodes[0].trigger_details.trigger.name #=> String
resp.workflow.last_run.graph.nodes[0].trigger_details.trigger.workflow_name #=> String
resp.workflow.last_run.graph.nodes[0].trigger_details.trigger.id #=> String
resp.workflow.last_run.graph.nodes[0].trigger_details.trigger.type #=> String, one of "SCHEDULED", "CONDITIONAL", "ON_DEMAND", "EVENT"
resp.workflow.last_run.graph.nodes[0].trigger_details.trigger.state #=> String, one of "CREATING", "CREATED", "ACTIVATING", "ACTIVATED", "DEACTIVATING", "DEACTIVATED", "DELETING", "UPDATING"
resp.workflow.last_run.graph.nodes[0].trigger_details.trigger.description #=> String
resp.workflow.last_run.graph.nodes[0].trigger_details.trigger.schedule #=> String
resp.workflow.last_run.graph.nodes[0].trigger_details.trigger.actions #=> Array
resp.workflow.last_run.graph.nodes[0].trigger_details.trigger.actions[0].job_name #=> String
resp.workflow.last_run.graph.nodes[0].trigger_details.trigger.actions[0].arguments #=> Hash
resp.workflow.last_run.graph.nodes[0].trigger_details.trigger.actions[0].arguments["GenericString"] #=> String
resp.workflow.last_run.graph.nodes[0].trigger_details.trigger.actions[0].timeout #=> Integer
resp.workflow.last_run.graph.nodes[0].trigger_details.trigger.actions[0].security_configuration #=> String
resp.workflow.last_run.graph.nodes[0].trigger_details.trigger.actions[0].notification_property.notify_delay_after #=> Integer
resp.workflow.last_run.graph.nodes[0].trigger_details.trigger.actions[0].crawler_name #=> String
resp.workflow.last_run.graph.nodes[0].trigger_details.trigger.predicate.logical #=> String, one of "AND", "ANY"
resp.workflow.last_run.graph.nodes[0].trigger_details.trigger.predicate.conditions #=> Array
resp.workflow.last_run.graph.nodes[0].trigger_details.trigger.predicate.conditions[0].logical_operator #=> String, one of "EQUALS"
resp.workflow.last_run.graph.nodes[0].trigger_details.trigger.predicate.conditions[0].job_name #=> String
resp.workflow.last_run.graph.nodes[0].trigger_details.trigger.predicate.conditions[0].state #=> String, one of "STARTING", "RUNNING", "STOPPING", "STOPPED", "SUCCEEDED", "FAILED", "TIMEOUT", "ERROR", "WAITING", "EXPIRED"
resp.workflow.last_run.graph.nodes[0].trigger_details.trigger.predicate.conditions[0].crawler_name #=> String
resp.workflow.last_run.graph.nodes[0].trigger_details.trigger.predicate.conditions[0].crawl_state #=> String, one of "RUNNING", "CANCELLING", "CANCELLED", "SUCCEEDED", "FAILED", "ERROR"
resp.workflow.last_run.graph.nodes[0].trigger_details.trigger.event_batching_condition.batch_size #=> Integer
resp.workflow.last_run.graph.nodes[0].trigger_details.trigger.event_batching_condition.batch_window #=> Integer
resp.workflow.last_run.graph.nodes[0].job_details.job_runs #=> Array
resp.workflow.last_run.graph.nodes[0].job_details.job_runs[0].id #=> String
resp.workflow.last_run.graph.nodes[0].job_details.job_runs[0].attempt #=> Integer
resp.workflow.last_run.graph.nodes[0].job_details.job_runs[0].previous_run_id #=> String
resp.workflow.last_run.graph.nodes[0].job_details.job_runs[0].trigger_name #=> String
resp.workflow.last_run.graph.nodes[0].job_details.job_runs[0].job_name #=> String
resp.workflow.last_run.graph.nodes[0].job_details.job_runs[0].job_mode #=> String, one of "SCRIPT", "VISUAL", "NOTEBOOK"
resp.workflow.last_run.graph.nodes[0].job_details.job_runs[0].started_on #=> Time
resp.workflow.last_run.graph.nodes[0].job_details.job_runs[0].last_modified_on #=> Time
resp.workflow.last_run.graph.nodes[0].job_details.job_runs[0].completed_on #=> Time
resp.workflow.last_run.graph.nodes[0].job_details.job_runs[0].job_run_state #=> String, one of "STARTING", "RUNNING", "STOPPING", "STOPPED", "SUCCEEDED", "FAILED", "TIMEOUT", "ERROR", "WAITING", "EXPIRED"
resp.workflow.last_run.graph.nodes[0].job_details.job_runs[0].arguments #=> Hash
resp.workflow.last_run.graph.nodes[0].job_details.job_runs[0].arguments["GenericString"] #=> String
resp.workflow.last_run.graph.nodes[0].job_details.job_runs[0].error_message #=> String
resp.workflow.last_run.graph.nodes[0].job_details.job_runs[0].predecessor_runs #=> Array
resp.workflow.last_run.graph.nodes[0].job_details.job_runs[0].predecessor_runs[0].job_name #=> String
resp.workflow.last_run.graph.nodes[0].job_details.job_runs[0].predecessor_runs[0].run_id #=> String
resp.workflow.last_run.graph.nodes[0].job_details.job_runs[0].allocated_capacity #=> Integer
resp.workflow.last_run.graph.nodes[0].job_details.job_runs[0].execution_time #=> Integer
resp.workflow.last_run.graph.nodes[0].job_details.job_runs[0].timeout #=> Integer
resp.workflow.last_run.graph.nodes[0].job_details.job_runs[0].max_capacity #=> Float
resp.workflow.last_run.graph.nodes[0].job_details.job_runs[0].worker_type #=> String, one of "Standard", "G.1X", "G.2X", "G.025X", "G.4X", "G.8X", "Z.2X"
resp.workflow.last_run.graph.nodes[0].job_details.job_runs[0].number_of_workers #=> Integer
resp.workflow.last_run.graph.nodes[0].job_details.job_runs[0].security_configuration #=> String
resp.workflow.last_run.graph.nodes[0].job_details.job_runs[0].log_group_name #=> String
resp.workflow.last_run.graph.nodes[0].job_details.job_runs[0].notification_property.notify_delay_after #=> Integer
resp.workflow.last_run.graph.nodes[0].job_details.job_runs[0].glue_version #=> String
resp.workflow.last_run.graph.nodes[0].job_details.job_runs[0].dpu_seconds #=> Float
resp.workflow.last_run.graph.nodes[0].job_details.job_runs[0].execution_class #=> String, one of "FLEX", "STANDARD"
resp.workflow.last_run.graph.nodes[0].job_details.job_runs[0].maintenance_window #=> String
resp.workflow.last_run.graph.nodes[0].job_details.job_runs[0].profile_name #=> String
resp.workflow.last_run.graph.nodes[0].crawler_details.crawls #=> Array
resp.workflow.last_run.graph.nodes[0].crawler_details.crawls[0].state #=> String, one of "RUNNING", "CANCELLING", "CANCELLED", "SUCCEEDED", "FAILED", "ERROR"
resp.workflow.last_run.graph.nodes[0].crawler_details.crawls[0].started_on #=> Time
resp.workflow.last_run.graph.nodes[0].crawler_details.crawls[0].completed_on #=> Time
resp.workflow.last_run.graph.nodes[0].crawler_details.crawls[0].error_message #=> String
resp.workflow.last_run.graph.nodes[0].crawler_details.crawls[0].log_group #=> String
resp.workflow.last_run.graph.nodes[0].crawler_details.crawls[0].log_stream #=> String
resp.workflow.last_run.graph.edges #=> Array
resp.workflow.last_run.graph.edges[0].source_id #=> String
resp.workflow.last_run.graph.edges[0].destination_id #=> String
resp.workflow.last_run.starting_event_batch_condition.batch_size #=> Integer
resp.workflow.last_run.starting_event_batch_condition.batch_window #=> Integer
resp.workflow.graph.nodes #=> Array
resp.workflow.graph.nodes[0].type #=> String, one of "CRAWLER", "JOB", "TRIGGER"
resp.workflow.graph.nodes[0].name #=> String
resp.workflow.graph.nodes[0].unique_id #=> String
resp.workflow.graph.nodes[0].trigger_details.trigger.name #=> String
resp.workflow.graph.nodes[0].trigger_details.trigger.workflow_name #=> String
resp.workflow.graph.nodes[0].trigger_details.trigger.id #=> String
resp.workflow.graph.nodes[0].trigger_details.trigger.type #=> String, one of "SCHEDULED", "CONDITIONAL", "ON_DEMAND", "EVENT"
resp.workflow.graph.nodes[0].trigger_details.trigger.state #=> String, one of "CREATING", "CREATED", "ACTIVATING", "ACTIVATED", "DEACTIVATING", "DEACTIVATED", "DELETING", "UPDATING"
resp.workflow.graph.nodes[0].trigger_details.trigger.description #=> String
resp.workflow.graph.nodes[0].trigger_details.trigger.schedule #=> String
resp.workflow.graph.nodes[0].trigger_details.trigger.actions #=> Array
resp.workflow.graph.nodes[0].trigger_details.trigger.actions[0].job_name #=> String
resp.workflow.graph.nodes[0].trigger_details.trigger.actions[0].arguments #=> Hash
resp.workflow.graph.nodes[0].trigger_details.trigger.actions[0].arguments["GenericString"] #=> String
resp.workflow.graph.nodes[0].trigger_details.trigger.actions[0].timeout #=> Integer
resp.workflow.graph.nodes[0].trigger_details.trigger.actions[0].security_configuration #=> String
resp.workflow.graph.nodes[0].trigger_details.trigger.actions[0].notification_property.notify_delay_after #=> Integer
resp.workflow.graph.nodes[0].trigger_details.trigger.actions[0].crawler_name #=> String
resp.workflow.graph.nodes[0].trigger_details.trigger.predicate.logical #=> String, one of "AND", "ANY"
resp.workflow.graph.nodes[0].trigger_details.trigger.predicate.conditions #=> Array
resp.workflow.graph.nodes[0].trigger_details.trigger.predicate.conditions[0].logical_operator #=> String, one of "EQUALS"
resp.workflow.graph.nodes[0].trigger_details.trigger.predicate.conditions[0].job_name #=> String
resp.workflow.graph.nodes[0].trigger_details.trigger.predicate.conditions[0].state #=> String, one of "STARTING", "RUNNING", "STOPPING", "STOPPED", "SUCCEEDED", "FAILED", "TIMEOUT", "ERROR", "WAITING", "EXPIRED"
resp.workflow.graph.nodes[0].trigger_details.trigger.predicate.conditions[0].crawler_name #=> String
resp.workflow.graph.nodes[0].trigger_details.trigger.predicate.conditions[0].crawl_state #=> String, one of "RUNNING", "CANCELLING", "CANCELLED", "SUCCEEDED", "FAILED", "ERROR"
resp.workflow.graph.nodes[0].trigger_details.trigger.event_batching_condition.batch_size #=> Integer
resp.workflow.graph.nodes[0].trigger_details.trigger.event_batching_condition.batch_window #=> Integer
resp.workflow.graph.nodes[0].job_details.job_runs #=> Array
resp.workflow.graph.nodes[0].job_details.job_runs[0].id #=> String
resp.workflow.graph.nodes[0].job_details.job_runs[0].attempt #=> Integer
resp.workflow.graph.nodes[0].job_details.job_runs[0].previous_run_id #=> String
resp.workflow.graph.nodes[0].job_details.job_runs[0].trigger_name #=> String
resp.workflow.graph.nodes[0].job_details.job_runs[0].job_name #=> String
resp.workflow.graph.nodes[0].job_details.job_runs[0].job_mode #=> String, one of "SCRIPT", "VISUAL", "NOTEBOOK"
resp.workflow.graph.nodes[0].job_details.job_runs[0].started_on #=> Time
resp.workflow.graph.nodes[0].job_details.job_runs[0].last_modified_on #=> Time
resp.workflow.graph.nodes[0].job_details.job_runs[0].completed_on #=> Time
resp.workflow.graph.nodes[0].job_details.job_runs[0].job_run_state #=> String, one of "STARTING", "RUNNING", "STOPPING", "STOPPED", "SUCCEEDED", "FAILED", "TIMEOUT", "ERROR", "WAITING", "EXPIRED"
resp.workflow.graph.nodes[0].job_details.job_runs[0].arguments #=> Hash
resp.workflow.graph.nodes[0].job_details.job_runs[0].arguments["GenericString"] #=> String
resp.workflow.graph.nodes[0].job_details.job_runs[0].error_message #=> String
resp.workflow.graph.nodes[0].job_details.job_runs[0].predecessor_runs #=> Array
resp.workflow.graph.nodes[0].job_details.job_runs[0].predecessor_runs[0].job_name #=> String
resp.workflow.graph.nodes[0].job_details.job_runs[0].predecessor_runs[0].run_id #=> String
resp.workflow.graph.nodes[0].job_details.job_runs[0].allocated_capacity #=> Integer
resp.workflow.graph.nodes[0].job_details.job_runs[0].execution_time #=> Integer
resp.workflow.graph.nodes[0].job_details.job_runs[0].timeout #=> Integer
resp.workflow.graph.nodes[0].job_details.job_runs[0].max_capacity #=> Float
resp.workflow.graph.nodes[0].job_details.job_runs[0].worker_type #=> String, one of "Standard", "G.1X", "G.2X", "G.025X", "G.4X", "G.8X", "Z.2X"
resp.workflow.graph.nodes[0].job_details.job_runs[0].number_of_workers #=> Integer
resp.workflow.graph.nodes[0].job_details.job_runs[0].security_configuration #=> String
resp.workflow.graph.nodes[0].job_details.job_runs[0].log_group_name #=> String
resp.workflow.graph.nodes[0].job_details.job_runs[0].notification_property.notify_delay_after #=> Integer
resp.workflow.graph.nodes[0].job_details.job_runs[0].glue_version #=> String
resp.workflow.graph.nodes[0].job_details.job_runs[0].dpu_seconds #=> Float
resp.workflow.graph.nodes[0].job_details.job_runs[0].execution_class #=> String, one of "FLEX", "STANDARD"
resp.workflow.graph.nodes[0].job_details.job_runs[0].maintenance_window #=> String
resp.workflow.graph.nodes[0].job_details.job_runs[0].profile_name #=> String
resp.workflow.graph.nodes[0].crawler_details.crawls #=> Array
resp.workflow.graph.nodes[0].crawler_details.crawls[0].state #=> String, one of "RUNNING", "CANCELLING", "CANCELLED", "SUCCEEDED", "FAILED", "ERROR"
resp.workflow.graph.nodes[0].crawler_details.crawls[0].started_on #=> Time
resp.workflow.graph.nodes[0].crawler_details.crawls[0].completed_on #=> Time
resp.workflow.graph.nodes[0].crawler_details.crawls[0].error_message #=> String
resp.workflow.graph.nodes[0].crawler_details.crawls[0].log_group #=> String
resp.workflow.graph.nodes[0].crawler_details.crawls[0].log_stream #=> String
resp.workflow.graph.edges #=> Array
resp.workflow.graph.edges[0].source_id #=> String
resp.workflow.graph.edges[0].destination_id #=> String
resp.workflow.max_concurrent_runs #=> Integer
resp.workflow.blueprint_details.blueprint_name #=> String
resp.workflow.blueprint_details.run_id #=> String

Parameters:

• params (Hash) (defaults to: {}) —

  ({})

Options Hash (params):

• :name (required, String) —

  The name of the workflow to retrieve.

• :include_graph (Boolean) —

  Specifies whether to include a graph when returning the workflow resource metadata.

Returns:

• (Types::GetWorkflowResponse) —

  Returns a response object which responds to the following methods:

  • #workflow => Types::Workflow

See Also:

• AWS API Documentation

# File 'lib/aws-sdk-glue/client.rb', line 12612

def get_workflow(params = {}, options = {})
  req = build_request(:get_workflow, params)
  req.send_request(options)
end

#get_workflow_run(params = {}) ⇒ Types::GetWorkflowRunResponse

Retrieves the metadata for a given workflow run. Job run history is accessible for 90 days for your workflow and job run.

Examples:

Request syntax with placeholder values

resp = client.get_workflow_run({
  name: "NameString", # required
  run_id: "IdString", # required
  include_graph: false,
})

Response structure

resp.run.name #=> String
resp.run.workflow_run_id #=> String
resp.run.previous_run_id #=> String
resp.run.workflow_run_properties #=> Hash
resp.run.workflow_run_properties["IdString"] #=> String
resp.run.started_on #=> Time
resp.run.completed_on #=> Time
resp.run.status #=> String, one of "RUNNING", "COMPLETED", "STOPPING", "STOPPED", "ERROR"
resp.run.error_message #=> String
resp.run.statistics.total_actions #=> Integer
resp.run.statistics.timeout_actions #=> Integer
resp.run.statistics.failed_actions #=> Integer
resp.run.statistics.stopped_actions #=> Integer
resp.run.statistics.succeeded_actions #=> Integer
resp.run.statistics.running_actions #=> Integer
resp.run.statistics.errored_actions #=> Integer
resp.run.statistics.waiting_actions #=> Integer
resp.run.graph.nodes #=> Array
resp.run.graph.nodes[0].type #=> String, one of "CRAWLER", "JOB", "TRIGGER"
resp.run.graph.nodes[0].name #=> String
resp.run.graph.nodes[0].unique_id #=> String
resp.run.graph.nodes[0].trigger_details.trigger.name #=> String
resp.run.graph.nodes[0].trigger_details.trigger.workflow_name #=> String
resp.run.graph.nodes[0].trigger_details.trigger.id #=> String
resp.run.graph.nodes[0].trigger_details.trigger.type #=> String, one of "SCHEDULED", "CONDITIONAL", "ON_DEMAND", "EVENT"
resp.run.graph.nodes[0].trigger_details.trigger.state #=> String, one of "CREATING", "CREATED", "ACTIVATING", "ACTIVATED", "DEACTIVATING", "DEACTIVATED", "DELETING", "UPDATING"
resp.run.graph.nodes[0].trigger_details.trigger.description #=> String
resp.run.graph.nodes[0].trigger_details.trigger.schedule #=> String
resp.run.graph.nodes[0].trigger_details.trigger.actions #=> Array
resp.run.graph.nodes[0].trigger_details.trigger.actions[0].job_name #=> String
resp.run.graph.nodes[0].trigger_details.trigger.actions[0].arguments #=> Hash
resp.run.graph.nodes[0].trigger_details.trigger.actions[0].arguments["GenericString"] #=> String
resp.run.graph.nodes[0].trigger_details.trigger.actions[0].timeout #=> Integer
resp.run.graph.nodes[0].trigger_details.trigger.actions[0].security_configuration #=> String
resp.run.graph.nodes[0].trigger_details.trigger.actions[0].notification_property.notify_delay_after #=> Integer
resp.run.graph.nodes[0].trigger_details.trigger.actions[0].crawler_name #=> String
resp.run.graph.nodes[0].trigger_details.trigger.predicate.logical #=> String, one of "AND", "ANY"
resp.run.graph.nodes[0].trigger_details.trigger.predicate.conditions #=> Array
resp.run.graph.nodes[0].trigger_details.trigger.predicate.conditions[0].logical_operator #=> String, one of "EQUALS"
resp.run.graph.nodes[0].trigger_details.trigger.predicate.conditions[0].job_name #=> String
resp.run.graph.nodes[0].trigger_details.trigger.predicate.conditions[0].state #=> String, one of "STARTING", "RUNNING", "STOPPING", "STOPPED", "SUCCEEDED", "FAILED", "TIMEOUT", "ERROR", "WAITING", "EXPIRED"
resp.run.graph.nodes[0].trigger_details.trigger.predicate.conditions[0].crawler_name #=> String
resp.run.graph.nodes[0].trigger_details.trigger.predicate.conditions[0].crawl_state #=> String, one of "RUNNING", "CANCELLING", "CANCELLED", "SUCCEEDED", "FAILED", "ERROR"
resp.run.graph.nodes[0].trigger_details.trigger.event_batching_condition.batch_size #=> Integer
resp.run.graph.nodes[0].trigger_details.trigger.event_batching_condition.batch_window #=> Integer
resp.run.graph.nodes[0].job_details.job_runs #=> Array
resp.run.graph.nodes[0].job_details.job_runs[0].id #=> String
resp.run.graph.nodes[0].job_details.job_runs[0].attempt #=> Integer
resp.run.graph.nodes[0].job_details.job_runs[0].previous_run_id #=> String
resp.run.graph.nodes[0].job_details.job_runs[0].trigger_name #=> String
resp.run.graph.nodes[0].job_details.job_runs[0].job_name #=> String
resp.run.graph.nodes[0].job_details.job_runs[0].job_mode #=> String, one of "SCRIPT", "VISUAL", "NOTEBOOK"
resp.run.graph.nodes[0].job_details.job_runs[0].started_on #=> Time
resp.run.graph.nodes[0].job_details.job_runs[0].last_modified_on #=> Time
resp.run.graph.nodes[0].job_details.job_runs[0].completed_on #=> Time
resp.run.graph.nodes[0].job_details.job_runs[0].job_run_state #=> String, one of "STARTING", "RUNNING", "STOPPING", "STOPPED", "SUCCEEDED", "FAILED", "TIMEOUT", "ERROR", "WAITING", "EXPIRED"
resp.run.graph.nodes[0].job_details.job_runs[0].arguments #=> Hash
resp.run.graph.nodes[0].job_details.job_runs[0].arguments["GenericString"] #=> String
resp.run.graph.nodes[0].job_details.job_runs[0].error_message #=> String
resp.run.graph.nodes[0].job_details.job_runs[0].predecessor_runs #=> Array
resp.run.graph.nodes[0].job_details.job_runs[0].predecessor_runs[0].job_name #=> String
resp.run.graph.nodes[0].job_details.job_runs[0].predecessor_runs[0].run_id #=> String
resp.run.graph.nodes[0].job_details.job_runs[0].allocated_capacity #=> Integer
resp.run.graph.nodes[0].job_details.job_runs[0].execution_time #=> Integer
resp.run.graph.nodes[0].job_details.job_runs[0].timeout #=> Integer
resp.run.graph.nodes[0].job_details.job_runs[0].max_capacity #=> Float
resp.run.graph.nodes[0].job_details.job_runs[0].worker_type #=> String, one of "Standard", "G.1X", "G.2X", "G.025X", "G.4X", "G.8X", "Z.2X"
resp.run.graph.nodes[0].job_details.job_runs[0].number_of_workers #=> Integer
resp.run.graph.nodes[0].job_details.job_runs[0].security_configuration #=> String
resp.run.graph.nodes[0].job_details.job_runs[0].log_group_name #=> String
resp.run.graph.nodes[0].job_details.job_runs[0].notification_property.notify_delay_after #=> Integer
resp.run.graph.nodes[0].job_details.job_runs[0].glue_version #=> String
resp.run.graph.nodes[0].job_details.job_runs[0].dpu_seconds #=> Float
resp.run.graph.nodes[0].job_details.job_runs[0].execution_class #=> String, one of "FLEX", "STANDARD"
resp.run.graph.nodes[0].job_details.job_runs[0].maintenance_window #=> String
resp.run.graph.nodes[0].job_details.job_runs[0].profile_name #=> String
resp.run.graph.nodes[0].crawler_details.crawls #=> Array
resp.run.graph.nodes[0].crawler_details.crawls[0].state #=> String, one of "RUNNING", "CANCELLING", "CANCELLED", "SUCCEEDED", "FAILED", "ERROR"
resp.run.graph.nodes[0].crawler_details.crawls[0].started_on #=> Time
resp.run.graph.nodes[0].crawler_details.crawls[0].completed_on #=> Time
resp.run.graph.nodes[0].crawler_details.crawls[0].error_message #=> String
resp.run.graph.nodes[0].crawler_details.crawls[0].log_group #=> String
resp.run.graph.nodes[0].crawler_details.crawls[0].log_stream #=> String
resp.run.graph.edges #=> Array
resp.run.graph.edges[0].source_id #=> String
resp.run.graph.edges[0].destination_id #=> String
resp.run.starting_event_batch_condition.batch_size #=> Integer
resp.run.starting_event_batch_condition.batch_window #=> Integer

Parameters:

• params (Hash) (defaults to: {}) —

  ({})

Options Hash (params):

• :name (required, String) —

  Name of the workflow being run.

• :run_id (required, String) —

  The ID of the workflow run.

• :include_graph (Boolean) —

  Specifies whether to include the workflow graph in response or not.

Returns:

• (Types::GetWorkflowRunResponse) —

  Returns a response object which responds to the following methods:

  • #run => Types::WorkflowRun

See Also:

• AWS API Documentation

# File 'lib/aws-sdk-glue/client.rb', line 12736

def get_workflow_run(params = {}, options = {})
  req = build_request(:get_workflow_run, params)
  req.send_request(options)
end

#get_workflow_run_properties(params = {}) ⇒ Types::GetWorkflowRunPropertiesResponse

Retrieves the workflow run properties which were set during the run.

Examples:

Request syntax with placeholder values

resp = client.get_workflow_run_properties({
  name: "NameString", # required
  run_id: "IdString", # required
})

Response structure

resp.run_properties #=> Hash
resp.run_properties["IdString"] #=> String

Parameters:

• params (Hash) (defaults to: {}) —

  ({})

Options Hash (params):

• :name (required, String) —

  Name of the workflow which was run.

• :run_id (required, String) —

  The ID of the workflow run whose run properties should be returned.

Returns:

• (Types::GetWorkflowRunPropertiesResponse) —

  Returns a response object which responds to the following methods:

  • #run_properties => Hash&lt;String,String&gt;

See Also:

• AWS API Documentation

# File 'lib/aws-sdk-glue/client.rb', line 12769

def get_workflow_run_properties(params = {}, options = {})
  req = build_request(:get_workflow_run_properties, params)
  req.send_request(options)
end

#get_workflow_runs(params = {}) ⇒ Types::GetWorkflowRunsResponse

Retrieves metadata for all runs of a given workflow.

The returned response is a pageable response and is Enumerable. For details on usage see PageableResponse.

Examples:

Request syntax with placeholder values

resp = client.get_workflow_runs({
  name: "NameString", # required
  include_graph: false,
  next_token: "GenericString",
  max_results: 1,
})

Response structure

resp.runs #=> Array
resp.runs[0].name #=> String
resp.runs[0].workflow_run_id #=> String
resp.runs[0].previous_run_id #=> String
resp.runs[0].workflow_run_properties #=> Hash
resp.runs[0].workflow_run_properties["IdString"] #=> String
resp.runs[0].started_on #=> Time
resp.runs[0].completed_on #=> Time
resp.runs[0].status #=> String, one of "RUNNING", "COMPLETED", "STOPPING", "STOPPED", "ERROR"
resp.runs[0].error_message #=> String
resp.runs[0].statistics.total_actions #=> Integer
resp.runs[0].statistics.timeout_actions #=> Integer
resp.runs[0].statistics.failed_actions #=> Integer
resp.runs[0].statistics.stopped_actions #=> Integer
resp.runs[0].statistics.succeeded_actions #=> Integer
resp.runs[0].statistics.running_actions #=> Integer
resp.runs[0].statistics.errored_actions #=> Integer
resp.runs[0].statistics.waiting_actions #=> Integer
resp.runs[0].graph.nodes #=> Array
resp.runs[0].graph.nodes[0].type #=> String, one of "CRAWLER", "JOB", "TRIGGER"
resp.runs[0].graph.nodes[0].name #=> String
resp.runs[0].graph.nodes[0].unique_id #=> String
resp.runs[0].graph.nodes[0].trigger_details.trigger.name #=> String
resp.runs[0].graph.nodes[0].trigger_details.trigger.workflow_name #=> String
resp.runs[0].graph.nodes[0].trigger_details.trigger.id #=> String
resp.runs[0].graph.nodes[0].trigger_details.trigger.type #=> String, one of "SCHEDULED", "CONDITIONAL", "ON_DEMAND", "EVENT"
resp.runs[0].graph.nodes[0].trigger_details.trigger.state #=> String, one of "CREATING", "CREATED", "ACTIVATING", "ACTIVATED", "DEACTIVATING", "DEACTIVATED", "DELETING", "UPDATING"
resp.runs[0].graph.nodes[0].trigger_details.trigger.description #=> String
resp.runs[0].graph.nodes[0].trigger_details.trigger.schedule #=> String
resp.runs[0].graph.nodes[0].trigger_details.trigger.actions #=> Array
resp.runs[0].graph.nodes[0].trigger_details.trigger.actions[0].job_name #=> String
resp.runs[0].graph.nodes[0].trigger_details.trigger.actions[0].arguments #=> Hash
resp.runs[0].graph.nodes[0].trigger_details.trigger.actions[0].arguments["GenericString"] #=> String
resp.runs[0].graph.nodes[0].trigger_details.trigger.actions[0].timeout #=> Integer
resp.runs[0].graph.nodes[0].trigger_details.trigger.actions[0].security_configuration #=> String
resp.runs[0].graph.nodes[0].trigger_details.trigger.actions[0].notification_property.notify_delay_after #=> Integer
resp.runs[0].graph.nodes[0].trigger_details.trigger.actions[0].crawler_name #=> String
resp.runs[0].graph.nodes[0].trigger_details.trigger.predicate.logical #=> String, one of "AND", "ANY"
resp.runs[0].graph.nodes[0].trigger_details.trigger.predicate.conditions #=> Array
resp.runs[0].graph.nodes[0].trigger_details.trigger.predicate.conditions[0].logical_operator #=> String, one of "EQUALS"
resp.runs[0].graph.nodes[0].trigger_details.trigger.predicate.conditions[0].job_name #=> String
resp.runs[0].graph.nodes[0].trigger_details.trigger.predicate.conditions[0].state #=> String, one of "STARTING", "RUNNING", "STOPPING", "STOPPED", "SUCCEEDED", "FAILED", "TIMEOUT", "ERROR", "WAITING", "EXPIRED"
resp.runs[0].graph.nodes[0].trigger_details.trigger.predicate.conditions[0].crawler_name #=> String
resp.runs[0].graph.nodes[0].trigger_details.trigger.predicate.conditions[0].crawl_state #=> String, one of "RUNNING", "CANCELLING", "CANCELLED", "SUCCEEDED", "FAILED", "ERROR"
resp.runs[0].graph.nodes[0].trigger_details.trigger.event_batching_condition.batch_size #=> Integer
resp.runs[0].graph.nodes[0].trigger_details.trigger.event_batching_condition.batch_window #=> Integer
resp.runs[0].graph.nodes[0].job_details.job_runs #=> Array
resp.runs[0].graph.nodes[0].job_details.job_runs[0].id #=> String
resp.runs[0].graph.nodes[0].job_details.job_runs[0].attempt #=> Integer
resp.runs[0].graph.nodes[0].job_details.job_runs[0].previous_run_id #=> String
resp.runs[0].graph.nodes[0].job_details.job_runs[0].trigger_name #=> String
resp.runs[0].graph.nodes[0].job_details.job_runs[0].job_name #=> String
resp.runs[0].graph.nodes[0].job_details.job_runs[0].job_mode #=> String, one of "SCRIPT", "VISUAL", "NOTEBOOK"
resp.runs[0].graph.nodes[0].job_details.job_runs[0].started_on #=> Time
resp.runs[0].graph.nodes[0].job_details.job_runs[0].last_modified_on #=> Time
resp.runs[0].graph.nodes[0].job_details.job_runs[0].completed_on #=> Time
resp.runs[0].graph.nodes[0].job_details.job_runs[0].job_run_state #=> String, one of "STARTING", "RUNNING", "STOPPING", "STOPPED", "SUCCEEDED", "FAILED", "TIMEOUT", "ERROR", "WAITING", "EXPIRED"
resp.runs[0].graph.nodes[0].job_details.job_runs[0].arguments #=> Hash
resp.runs[0].graph.nodes[0].job_details.job_runs[0].arguments["GenericString"] #=> String
resp.runs[0].graph.nodes[0].job_details.job_runs[0].error_message #=> String
resp.runs[0].graph.nodes[0].job_details.job_runs[0].predecessor_runs #=> Array
resp.runs[0].graph.nodes[0].job_details.job_runs[0].predecessor_runs[0].job_name #=> String
resp.runs[0].graph.nodes[0].job_details.job_runs[0].predecessor_runs[0].run_id #=> String
resp.runs[0].graph.nodes[0].job_details.job_runs[0].allocated_capacity #=> Integer
resp.runs[0].graph.nodes[0].job_details.job_runs[0].execution_time #=> Integer
resp.runs[0].graph.nodes[0].job_details.job_runs[0].timeout #=> Integer
resp.runs[0].graph.nodes[0].job_details.job_runs[0].max_capacity #=> Float
resp.runs[0].graph.nodes[0].job_details.job_runs[0].worker_type #=> String, one of "Standard", "G.1X", "G.2X", "G.025X", "G.4X", "G.8X", "Z.2X"
resp.runs[0].graph.nodes[0].job_details.job_runs[0].number_of_workers #=> Integer
resp.runs[0].graph.nodes[0].job_details.job_runs[0].security_configuration #=> String
resp.runs[0].graph.nodes[0].job_details.job_runs[0].log_group_name #=> String
resp.runs[0].graph.nodes[0].job_details.job_runs[0].notification_property.notify_delay_after #=> Integer
resp.runs[0].graph.nodes[0].job_details.job_runs[0].glue_version #=> String
resp.runs[0].graph.nodes[0].job_details.job_runs[0].dpu_seconds #=> Float
resp.runs[0].graph.nodes[0].job_details.job_runs[0].execution_class #=> String, one of "FLEX", "STANDARD"
resp.runs[0].graph.nodes[0].job_details.job_runs[0].maintenance_window #=> String
resp.runs[0].graph.nodes[0].job_details.job_runs[0].profile_name #=> String
resp.runs[0].graph.nodes[0].crawler_details.crawls #=> Array
resp.runs[0].graph.nodes[0].crawler_details.crawls[0].state #=> String, one of "RUNNING", "CANCELLING", "CANCELLED", "SUCCEEDED", "FAILED", "ERROR"
resp.runs[0].graph.nodes[0].crawler_details.crawls[0].started_on #=> Time
resp.runs[0].graph.nodes[0].crawler_details.crawls[0].completed_on #=> Time
resp.runs[0].graph.nodes[0].crawler_details.crawls[0].error_message #=> String
resp.runs[0].graph.nodes[0].crawler_details.crawls[0].log_group #=> String
resp.runs[0].graph.nodes[0].crawler_details.crawls[0].log_stream #=> String
resp.runs[0].graph.edges #=> Array
resp.runs[0].graph.edges[0].source_id #=> String
resp.runs[0].graph.edges[0].destination_id #=> String
resp.runs[0].starting_event_batch_condition.batch_size #=> Integer
resp.runs[0].starting_event_batch_condition.batch_window #=> Integer
resp.next_token #=> String

Parameters:

• params (Hash) (defaults to: {}) —

  ({})

Options Hash (params):

• :name (required, String) —

  Name of the workflow whose metadata of runs should be returned.

• :include_graph (Boolean) —

  Specifies whether to include the workflow graph in response or not.

• :next_token (String) —

  The maximum size of the response.

• :max_results (Integer) —

  The maximum number of workflow runs to be included in the response.

Returns:

• (Types::GetWorkflowRunsResponse) —

  Returns a response object which responds to the following methods:

  • #runs => Array&lt;Types::WorkflowRun&gt;

  • #next_token => String

See Also:

• AWS API Documentation

# File 'lib/aws-sdk-glue/client.rb', line 12901

def get_workflow_runs(params = {}, options = {})
  req = build_request(:get_workflow_runs, params)
  req.send_request(options)
end

#import_catalog_to_glue(params = {}) ⇒ Struct

Imports an existing Amazon Athena Data Catalog to Glue.

Examples:

Request syntax with placeholder values

resp = client.import_catalog_to_glue({
  catalog_id: "CatalogIdString",
})

Parameters:

• params (Hash) (defaults to: {}) —

  ({})

Options Hash (params):

• :catalog_id (String) —

  The ID of the catalog to import. Currently, this should be the Amazon Web Services account ID.

Returns:

• (Struct) —

  Returns an empty response.

See Also:

• AWS API Documentation

# File 'lib/aws-sdk-glue/client.rb', line 12924

def import_catalog_to_glue(params = {}, options = {})
  req = build_request(:import_catalog_to_glue, params)
  req.send_request(options)
end

#list_blueprints(params = {}) ⇒ Types::ListBlueprintsResponse

Lists all the blueprint names in an account.

The returned response is a pageable response and is Enumerable. For details on usage see PageableResponse.

Examples:

Request syntax with placeholder values

resp = client.list_blueprints({
  next_token: "GenericString",
  max_results: 1,
  tags: {
    "TagKey" => "TagValue",
  },
})

Response structure

resp.blueprints #=> Array
resp.blueprints[0] #=> String
resp.next_token #=> String

Parameters:

• params (Hash) (defaults to: {}) —

  ({})

Options Hash (params):

• :next_token (String) —

  A continuation token, if this is a continuation request.

• :max_results (Integer) —

  The maximum size of a list to return.

• :tags (Hash<String,String>) —

  Filters the list by an Amazon Web Services resource tag.

Returns:

• (Types::ListBlueprintsResponse) —

  Returns a response object which responds to the following methods:

  • #blueprints => Array&lt;String&gt;

  • #next_token => String

See Also:

• AWS API Documentation

# File 'lib/aws-sdk-glue/client.rb', line 12967

def list_blueprints(params = {}, options = {})
  req = build_request(:list_blueprints, params)
  req.send_request(options)
end

#list_column_statistics_task_runs(params = {}) ⇒ Types::ListColumnStatisticsTaskRunsResponse

List all task runs for a particular account.

The returned response is a pageable response and is Enumerable. For details on usage see PageableResponse.

Examples:

Request syntax with placeholder values

resp = client.list_column_statistics_task_runs({
  max_results: 1,
  next_token: "Token",
})

Response structure

resp.column_statistics_task_run_ids #=> Array
resp.column_statistics_task_run_ids[0] #=> String
resp.next_token #=> String

Parameters:

• params (Hash) (defaults to: {}) —

  ({})

Options Hash (params):

• :max_results (Integer) —

  The maximum size of the response.

• :next_token (String) —

  A continuation token, if this is a continuation call.

Returns:

• (Types::ListColumnStatisticsTaskRunsResponse) —

  Returns a response object which responds to the following methods:

  • #column_statistics_task_run_ids => Array&lt;String&gt;

  • #next_token => String

See Also:

• AWS API Documentation

# File 'lib/aws-sdk-glue/client.rb', line 13004

def list_column_statistics_task_runs(params = {}, options = {})
  req = build_request(:list_column_statistics_task_runs, params)
  req.send_request(options)
end

#list_crawlers(params = {}) ⇒ Types::ListCrawlersResponse

Retrieves the names of all crawler resources in this Amazon Web Services account, or the resources with the specified tag. This operation allows you to see which resources are available in your account, and their names.

This operation takes the optional ‘Tags` field, which you can use as a filter on the response so that tagged resources can be retrieved as a group. If you choose to use tags filtering, only resources with the tag are retrieved.

The returned response is a pageable response and is Enumerable. For details on usage see PageableResponse.

Examples:

Request syntax with placeholder values

resp = client.list_crawlers({
  max_results: 1,
  next_token: "Token",
  tags: {
    "TagKey" => "TagValue",
  },
})

Response structure

resp.crawler_names #=> Array
resp.crawler_names[0] #=> String
resp.next_token #=> String

Parameters:

• params (Hash) (defaults to: {}) —

  ({})

Options Hash (params):

• :max_results (Integer) —

  The maximum size of a list to return.

• :next_token (String) —

  A continuation token, if this is a continuation request.

• :tags (Hash<String,String>) —

  Specifies to return only these tagged resources.

Returns:

• (Types::ListCrawlersResponse) —

  Returns a response object which responds to the following methods:

  • #crawler_names => Array&lt;String&gt;

  • #next_token => String

See Also:

• AWS API Documentation

# File 'lib/aws-sdk-glue/client.rb', line 13055

def list_crawlers(params = {}, options = {})
  req = build_request(:list_crawlers, params)
  req.send_request(options)
end

#list_crawls(params = {}) ⇒ Types::ListCrawlsResponse

Returns all the crawls of a specified crawler. Returns only the crawls that have occurred since the launch date of the crawler history feature, and only retains up to 12 months of crawls. Older crawls will not be returned.

You may use this API to:

• Retrive all the crawls of a specified crawler.

• Retrieve all the crawls of a specified crawler within a limited count.

• Retrieve all the crawls of a specified crawler in a specific time range.

• Retrieve all the crawls of a specified crawler with a particular state, crawl ID, or DPU hour value.

Examples:

Request syntax with placeholder values

resp = client.list_crawls({
  crawler_name: "NameString", # required
  max_results: 1,
  filters: [
    {
      field_name: "CRAWL_ID", # accepts CRAWL_ID, STATE, START_TIME, END_TIME, DPU_HOUR
      filter_operator: "GT", # accepts GT, GE, LT, LE, EQ, NE
      field_value: "GenericString",
    },
  ],
  next_token: "Token",
})

Response structure

resp.crawls #=> Array
resp.crawls[0].crawl_id #=> String
resp.crawls[0].state #=> String, one of "RUNNING", "COMPLETED", "FAILED", "STOPPED"
resp.crawls[0].start_time #=> Time
resp.crawls[0].end_time #=> Time
resp.crawls[0].summary #=> String
resp.crawls[0].error_message #=> String
resp.crawls[0].log_group #=> String
resp.crawls[0].log_stream #=> String
resp.crawls[0].message_prefix #=> String
resp.crawls[0].dpu_hour #=> Float
resp.next_token #=> String

Parameters:

• params (Hash) (defaults to: {}) —

  ({})

Options Hash (params):

• :crawler_name (required, String) —

  The name of the crawler whose runs you want to retrieve.

• :max_results (Integer) —

  The maximum number of results to return. The default is 20, and maximum is 100.

• :filters (Array<Types::CrawlsFilter>) —

  Filters the crawls by the criteria you specify in a list of ‘CrawlsFilter` objects.

• :next_token (String) —

  A continuation token, if this is a continuation call.

Returns:

• (Types::ListCrawlsResponse) —

  Returns a response object which responds to the following methods:

  • #crawls => Array&lt;Types::CrawlerHistory&gt;

  • #next_token => String

See Also:

• AWS API Documentation

# File 'lib/aws-sdk-glue/client.rb', line 13131

def list_crawls(params = {}, options = {})
  req = build_request(:list_crawls, params)
  req.send_request(options)
end

#list_custom_entity_types(params = {}) ⇒ Types::ListCustomEntityTypesResponse

Lists all the custom patterns that have been created.

The returned response is a pageable response and is Enumerable. For details on usage see PageableResponse.

Examples:

Request syntax with placeholder values

resp = client.list_custom_entity_types({
  next_token: "PaginationToken",
  max_results: 1,
  tags: {
    "TagKey" => "TagValue",
  },
})

Response structure

resp.custom_entity_types #=> Array
resp.custom_entity_types[0].name #=> String
resp.custom_entity_types[0].regex_string #=> String
resp.custom_entity_types[0].context_words #=> Array
resp.custom_entity_types[0].context_words[0] #=> String
resp.next_token #=> String

Parameters:

• params (Hash) (defaults to: {}) —

  ({})

Options Hash (params):

• :next_token (String) —

  A paginated token to offset the results.

• :max_results (Integer) —

  The maximum number of results to return.

• :tags (Hash<String,String>) —

  A list of key-value pair tags.

Returns:

• (Types::ListCustomEntityTypesResponse) —

  Returns a response object which responds to the following methods:

  • #custom_entity_types => Array&lt;Types::CustomEntityType&gt;

  • #next_token => String

See Also:

• AWS API Documentation

# File 'lib/aws-sdk-glue/client.rb', line 13177

def list_custom_entity_types(params = {}, options = {})
  req = build_request(:list_custom_entity_types, params)
  req.send_request(options)
end

#list_data_quality_results(params = {}) ⇒ Types::ListDataQualityResultsResponse

Returns all data quality execution results for your account.

The returned response is a pageable response and is Enumerable. For details on usage see PageableResponse.

Examples:

Request syntax with placeholder values

resp = client.list_data_quality_results({
  filter: {
    data_source: {
      glue_table: { # required
        database_name: "NameString", # required
        table_name: "NameString", # required
        catalog_id: "NameString",
        connection_name: "NameString",
        additional_options: {
          "NameString" => "DescriptionString",
        },
      },
    },
    job_name: "NameString",
    job_run_id: "HashString",
    started_after: Time.now,
    started_before: Time.now,
  },
  next_token: "PaginationToken",
  max_results: 1,
})

Response structure

resp.results #=> Array
resp.results[0].result_id #=> String
resp.results[0].data_source.glue_table.database_name #=> String
resp.results[0].data_source.glue_table.table_name #=> String
resp.results[0].data_source.glue_table.catalog_id #=> String
resp.results[0].data_source.glue_table.connection_name #=> String
resp.results[0].data_source.glue_table.additional_options #=> Hash
resp.results[0].data_source.glue_table.additional_options["NameString"] #=> String
resp.results[0].job_name #=> String
resp.results[0].job_run_id #=> String
resp.results[0].started_on #=> Time
resp.next_token #=> String

Parameters:

• params (Hash) (defaults to: {}) —

  ({})

Options Hash (params):

• :filter (Types::DataQualityResultFilterCriteria) —

  The filter criteria.

• :next_token (String) —

  A paginated token to offset the results.

• :max_results (Integer) —

  The maximum number of results to return.

Returns:

• (Types::ListDataQualityResultsResponse) —

  Returns a response object which responds to the following methods:

  • #results => Array&lt;Types::DataQualityResultDescription&gt;

  • #next_token => String

See Also:

• AWS API Documentation

# File 'lib/aws-sdk-glue/client.rb', line 13243

def list_data_quality_results(params = {}, options = {})
  req = build_request(:list_data_quality_results, params)
  req.send_request(options)
end

#list_data_quality_rule_recommendation_runs(params = {}) ⇒ Types::ListDataQualityRuleRecommendationRunsResponse

Lists the recommendation runs meeting the filter criteria.

The returned response is a pageable response and is Enumerable. For details on usage see PageableResponse.

Examples:

Request syntax with placeholder values

resp = client.list_data_quality_rule_recommendation_runs({
  filter: {
    data_source: { # required
      glue_table: { # required
        database_name: "NameString", # required
        table_name: "NameString", # required
        catalog_id: "NameString",
        connection_name: "NameString",
        additional_options: {
          "NameString" => "DescriptionString",
        },
      },
    },
    started_before: Time.now,
    started_after: Time.now,
  },
  next_token: "PaginationToken",
  max_results: 1,
})

Response structure

resp.runs #=> Array
resp.runs[0].run_id #=> String
resp.runs[0].status #=> String, one of "STARTING", "RUNNING", "STOPPING", "STOPPED", "SUCCEEDED", "FAILED", "TIMEOUT"
resp.runs[0].started_on #=> Time
resp.runs[0].data_source.glue_table.database_name #=> String
resp.runs[0].data_source.glue_table.table_name #=> String
resp.runs[0].data_source.glue_table.catalog_id #=> String
resp.runs[0].data_source.glue_table.connection_name #=> String
resp.runs[0].data_source.glue_table.additional_options #=> Hash
resp.runs[0].data_source.glue_table.additional_options["NameString"] #=> String
resp.next_token #=> String

Parameters:

• params (Hash) (defaults to: {}) —

  ({})

Options Hash (params):

• :filter (Types::DataQualityRuleRecommendationRunFilter) —

  The filter criteria.

• :next_token (String) —

  A paginated token to offset the results.

• :max_results (Integer) —

  The maximum number of results to return.

Returns:

• (Types::ListDataQualityRuleRecommendationRunsResponse) —

  Returns a response object which responds to the following methods:

  • #runs => Array&lt;Types::DataQualityRuleRecommendationRunDescription&gt;

  • #next_token => String

See Also:

• AWS API Documentation

# File 'lib/aws-sdk-glue/client.rb', line 13306

def list_data_quality_rule_recommendation_runs(params = {}, options = {})
  req = build_request(:list_data_quality_rule_recommendation_runs, params)
  req.send_request(options)
end

#list_data_quality_ruleset_evaluation_runs(params = {}) ⇒ Types::ListDataQualityRulesetEvaluationRunsResponse

Lists all the runs meeting the filter criteria, where a ruleset is evaluated against a data source.

The returned response is a pageable response and is Enumerable. For details on usage see PageableResponse.

Examples:

Request syntax with placeholder values

resp = client.list_data_quality_ruleset_evaluation_runs({
  filter: {
    data_source: { # required
      glue_table: { # required
        database_name: "NameString", # required
        table_name: "NameString", # required
        catalog_id: "NameString",
        connection_name: "NameString",
        additional_options: {
          "NameString" => "DescriptionString",
        },
      },
    },
    started_before: Time.now,
    started_after: Time.now,
  },
  next_token: "PaginationToken",
  max_results: 1,
})

Response structure

resp.runs #=> Array
resp.runs[0].run_id #=> String
resp.runs[0].status #=> String, one of "STARTING", "RUNNING", "STOPPING", "STOPPED", "SUCCEEDED", "FAILED", "TIMEOUT"
resp.runs[0].started_on #=> Time
resp.runs[0].data_source.glue_table.database_name #=> String
resp.runs[0].data_source.glue_table.table_name #=> String
resp.runs[0].data_source.glue_table.catalog_id #=> String
resp.runs[0].data_source.glue_table.connection_name #=> String
resp.runs[0].data_source.glue_table.additional_options #=> Hash
resp.runs[0].data_source.glue_table.additional_options["NameString"] #=> String
resp.next_token #=> String

Parameters:

• params (Hash) (defaults to: {}) —

  ({})

Options Hash (params):

• :filter (Types::DataQualityRulesetEvaluationRunFilter) —

  The filter criteria.

• :next_token (String) —

  A paginated token to offset the results.

• :max_results (Integer) —

  The maximum number of results to return.

Returns:

• (Types::ListDataQualityRulesetEvaluationRunsResponse) —

  Returns a response object which responds to the following methods:

  • #runs => Array&lt;Types::DataQualityRulesetEvaluationRunDescription&gt;

  • #next_token => String

See Also:

• AWS API Documentation

# File 'lib/aws-sdk-glue/client.rb', line 13370

def list_data_quality_ruleset_evaluation_runs(params = {}, options = {})
  req = build_request(:list_data_quality_ruleset_evaluation_runs, params)
  req.send_request(options)
end

#list_data_quality_rulesets(params = {}) ⇒ Types::ListDataQualityRulesetsResponse

Returns a paginated list of rulesets for the specified list of Glue tables.

The returned response is a pageable response and is Enumerable. For details on usage see PageableResponse.

Examples:

Request syntax with placeholder values

resp = client.list_data_quality_rulesets({
  next_token: "PaginationToken",
  max_results: 1,
  filter: {
    name: "NameString",
    description: "DescriptionString",
    created_before: Time.now,
    created_after: Time.now,
    last_modified_before: Time.now,
    last_modified_after: Time.now,
    target_table: {
      table_name: "NameString", # required
      database_name: "NameString", # required
      catalog_id: "NameString",
    },
  },
  tags: {
    "TagKey" => "TagValue",
  },
})

Response structure

resp.rulesets #=> Array
resp.rulesets[0].name #=> String
resp.rulesets[0].description #=> String
resp.rulesets[0].created_on #=> Time
resp.rulesets[0].last_modified_on #=> Time
resp.rulesets[0].target_table.table_name #=> String
resp.rulesets[0].target_table.database_name #=> String
resp.rulesets[0].target_table.catalog_id #=> String
resp.rulesets[0].recommendation_run_id #=> String
resp.rulesets[0].rule_count #=> Integer
resp.next_token #=> String

Parameters:

• params (Hash) (defaults to: {}) —

  ({})

Options Hash (params):

• :next_token (String) —

  A paginated token to offset the results.

• :max_results (Integer) —

  The maximum number of results to return.

• :filter (Types::DataQualityRulesetFilterCriteria) —

  The filter criteria.

• :tags (Hash<String,String>) —

  A list of key-value pair tags.

Returns:

• (Types::ListDataQualityRulesetsResponse) —

  Returns a response object which responds to the following methods:

  • #rulesets => Array&lt;Types::DataQualityRulesetListDetails&gt;

  • #next_token => String

See Also:

• AWS API Documentation

# File 'lib/aws-sdk-glue/client.rb', line 13438

def list_data_quality_rulesets(params = {}, options = {})
  req = build_request(:list_data_quality_rulesets, params)
  req.send_request(options)
end

#list_dev_endpoints(params = {}) ⇒ Types::ListDevEndpointsResponse

Retrieves the names of all ‘DevEndpoint` resources in this Amazon Web Services account, or the resources with the specified tag. This operation allows you to see which resources are available in your account, and their names.

This operation takes the optional ‘Tags` field, which you can use as a filter on the response so that tagged resources can be retrieved as a group. If you choose to use tags filtering, only resources with the tag are retrieved.

The returned response is a pageable response and is Enumerable. For details on usage see PageableResponse.

Examples:

Request syntax with placeholder values

resp = client.list_dev_endpoints({
  next_token: "GenericString",
  max_results: 1,
  tags: {
    "TagKey" => "TagValue",
  },
})

Response structure

resp.dev_endpoint_names #=> Array
resp.dev_endpoint_names[0] #=> String
resp.next_token #=> String

Parameters:

• params (Hash) (defaults to: {}) —

  ({})

Options Hash (params):

• :next_token (String) —

  A continuation token, if this is a continuation request.

• :max_results (Integer) —

  The maximum size of a list to return.

• :tags (Hash<String,String>) —

  Specifies to return only these tagged resources.

Returns:

• (Types::ListDevEndpointsResponse) —

  Returns a response object which responds to the following methods:

  • #dev_endpoint_names => Array&lt;String&gt;

  • #next_token => String

See Also:

• AWS API Documentation

# File 'lib/aws-sdk-glue/client.rb', line 13489

def list_dev_endpoints(params = {}, options = {})
  req = build_request(:list_dev_endpoints, params)
  req.send_request(options)
end

#list_jobs(params = {}) ⇒ Types::ListJobsResponse

Retrieves the names of all job resources in this Amazon Web Services account, or the resources with the specified tag. This operation allows you to see which resources are available in your account, and their names.

This operation takes the optional ‘Tags` field, which you can use as a filter on the response so that tagged resources can be retrieved as a group. If you choose to use tags filtering, only resources with the tag are retrieved.

The returned response is a pageable response and is Enumerable. For details on usage see PageableResponse.

Examples:

Request syntax with placeholder values

resp = client.list_jobs({
  next_token: "GenericString",
  max_results: 1,
  tags: {
    "TagKey" => "TagValue",
  },
})

Response structure

resp.job_names #=> Array
resp.job_names[0] #=> String
resp.next_token #=> String

Parameters:

• params (Hash) (defaults to: {}) —

  ({})

Options Hash (params):

• :next_token (String) —

  A continuation token, if this is a continuation request.

• :max_results (Integer) —

  The maximum size of a list to return.

• :tags (Hash<String,String>) —

  Specifies to return only these tagged resources.

Returns:

• (Types::ListJobsResponse) —

  Returns a response object which responds to the following methods:

  • #job_names => Array&lt;String&gt;

  • #next_token => String

See Also:

• AWS API Documentation

# File 'lib/aws-sdk-glue/client.rb', line 13540

def list_jobs(params = {}, options = {})
  req = build_request(:list_jobs, params)
  req.send_request(options)
end

#list_ml_transforms(params = {}) ⇒ Types::ListMLTransformsResponse

Retrieves a sortable, filterable list of existing Glue machine learning transforms in this Amazon Web Services account, or the resources with the specified tag. This operation takes the optional ‘Tags` field, which you can use as a filter of the responses so that tagged resources can be retrieved as a group. If you choose to use tag filtering, only resources with the tags are retrieved.

The returned response is a pageable response and is Enumerable. For details on usage see PageableResponse.

Examples:

Request syntax with placeholder values

resp = client.list_ml_transforms({
  next_token: "PaginationToken",
  max_results: 1,
  filter: {
    name: "NameString",
    transform_type: "FIND_MATCHES", # accepts FIND_MATCHES
    status: "NOT_READY", # accepts NOT_READY, READY, DELETING
    glue_version: "GlueVersionString",
    created_before: Time.now,
    created_after: Time.now,
    last_modified_before: Time.now,
    last_modified_after: Time.now,
    schema: [
      {
        name: "ColumnNameString",
        data_type: "ColumnTypeString",
      },
    ],
  },
  sort: {
    column: "NAME", # required, accepts NAME, TRANSFORM_TYPE, STATUS, CREATED, LAST_MODIFIED
    sort_direction: "DESCENDING", # required, accepts DESCENDING, ASCENDING
  },
  tags: {
    "TagKey" => "TagValue",
  },
})

Response structure

resp.transform_ids #=> Array
resp.transform_ids[0] #=> String
resp.next_token #=> String

Parameters:

• params (Hash) (defaults to: {}) —

  ({})

Options Hash (params):

• :next_token (String) —

  A continuation token, if this is a continuation request.

• :max_results (Integer) —

  The maximum size of a list to return.

• :filter (Types::TransformFilterCriteria) —

  A ‘TransformFilterCriteria` used to filter the machine learning transforms.

• :sort (Types::TransformSortCriteria) —

  A ‘TransformSortCriteria` used to sort the machine learning transforms.

• :tags (Hash<String,String>) —

  Specifies to return only these tagged resources.

Returns:

• (Types::ListMLTransformsResponse) —

  Returns a response object which responds to the following methods:

  • #transform_ids => Array&lt;String&gt;

  • #next_token => String

See Also:

• AWS API Documentation

# File 'lib/aws-sdk-glue/client.rb', line 13616

def list_ml_transforms(params = {}, options = {})
  req = build_request(:list_ml_transforms, params)
  req.send_request(options)
end

#list_registries(params = {}) ⇒ Types::ListRegistriesResponse

Returns a list of registries that you have created, with minimal registry information. Registries in the ‘Deleting` status will not be included in the results. Empty results will be returned if there are no registries available.

The returned response is a pageable response and is Enumerable. For details on usage see PageableResponse.

Examples:

Request syntax with placeholder values

resp = client.list_registries({
  max_results: 1,
  next_token: "SchemaRegistryTokenString",
})

Response structure

resp.registries #=> Array
resp.registries[0].registry_name #=> String
resp.registries[0].registry_arn #=> String
resp.registries[0].description #=> String
resp.registries[0].status #=> String, one of "AVAILABLE", "DELETING"
resp.registries[0].created_time #=> String
resp.registries[0].updated_time #=> String
resp.next_token #=> String

Parameters:

• params (Hash) (defaults to: {}) —

  ({})

Options Hash (params):

• :max_results (Integer) —

  Maximum number of results required per page. If the value is not supplied, this will be defaulted to 25 per page.

• :next_token (String) —

  A continuation token, if this is a continuation call.

Returns:

• (Types::ListRegistriesResponse) —

  Returns a response object which responds to the following methods:

  • #registries => Array&lt;Types::RegistryListItem&gt;

  • #next_token => String

See Also:

• AWS API Documentation

# File 'lib/aws-sdk-glue/client.rb', line 13662

def list_registries(params = {}, options = {})
  req = build_request(:list_registries, params)
  req.send_request(options)
end

#list_schema_versions(params = {}) ⇒ Types::ListSchemaVersionsResponse

Returns a list of schema versions that you have created, with minimal information. Schema versions in Deleted status will not be included in the results. Empty results will be returned if there are no schema versions available.

The returned response is a pageable response and is Enumerable. For details on usage see PageableResponse.

Examples:

Request syntax with placeholder values

resp = client.list_schema_versions({
  schema_id: { # required
    schema_arn: "GlueResourceArn",
    schema_name: "SchemaRegistryNameString",
    registry_name: "SchemaRegistryNameString",
  },
  max_results: 1,
  next_token: "SchemaRegistryTokenString",
})

Response structure

resp.schemas #=> Array
resp.schemas[0].schema_arn #=> String
resp.schemas[0].schema_version_id #=> String
resp.schemas[0].version_number #=> Integer
resp.schemas[0].status #=> String, one of "AVAILABLE", "PENDING", "FAILURE", "DELETING"
resp.schemas[0].created_time #=> String
resp.next_token #=> String

Parameters:

• params (Hash) (defaults to: {}) —

  ({})

Options Hash (params):

• :schema_id (required, Types::SchemaId) —

  This is a wrapper structure to contain schema identity fields. The structure contains:

  • SchemaId$SchemaArn: The Amazon Resource Name (ARN) of the schema. Either ‘SchemaArn` or `SchemaName` and `RegistryName` has to be provided.

  • SchemaId$SchemaName: The name of the schema. Either ‘SchemaArn` or `SchemaName` and `RegistryName` has to be provided.

• :max_results (Integer) —

  Maximum number of results required per page. If the value is not supplied, this will be defaulted to 25 per page.

• :next_token (String) —

  A continuation token, if this is a continuation call.

Returns:

• (Types::ListSchemaVersionsResponse) —

  Returns a response object which responds to the following methods:

  • #schemas => Array&lt;Types::SchemaVersionListItem&gt;

  • #next_token => String

See Also:

• AWS API Documentation

# File 'lib/aws-sdk-glue/client.rb', line 13723

def list_schema_versions(params = {}, options = {})
  req = build_request(:list_schema_versions, params)
  req.send_request(options)
end

#list_schemas(params = {}) ⇒ Types::ListSchemasResponse

Returns a list of schemas with minimal details. Schemas in Deleting status will not be included in the results. Empty results will be returned if there are no schemas available.

When the ‘RegistryId` is not provided, all the schemas across registries will be part of the API response.

The returned response is a pageable response and is Enumerable. For details on usage see PageableResponse.

Examples:

Request syntax with placeholder values

resp = client.list_schemas({
  registry_id: {
    registry_name: "SchemaRegistryNameString",
    registry_arn: "GlueResourceArn",
  },
  max_results: 1,
  next_token: "SchemaRegistryTokenString",
})

Response structure

resp.schemas #=> Array
resp.schemas[0].registry_name #=> String
resp.schemas[0].schema_name #=> String
resp.schemas[0].schema_arn #=> String
resp.schemas[0].description #=> String
resp.schemas[0].schema_status #=> String, one of "AVAILABLE", "PENDING", "DELETING"
resp.schemas[0].created_time #=> String
resp.schemas[0].updated_time #=> String
resp.next_token #=> String

Parameters:

• params (Hash) (defaults to: {}) —

  ({})

Options Hash (params):

• :registry_id (Types::RegistryId) —

  A wrapper structure that may contain the registry name and Amazon Resource Name (ARN).

• :max_results (Integer) —

  Maximum number of results required per page. If the value is not supplied, this will be defaulted to 25 per page.

• :next_token (String) —

  A continuation token, if this is a continuation call.

Returns:

• (Types::ListSchemasResponse) —

  Returns a response object which responds to the following methods:

  • #schemas => Array&lt;Types::SchemaListItem&gt;

  • #next_token => String

See Also:

• AWS API Documentation

# File 'lib/aws-sdk-glue/client.rb', line 13780

def list_schemas(params = {}, options = {})
  req = build_request(:list_schemas, params)
  req.send_request(options)
end

#list_sessions(params = {}) ⇒ Types::ListSessionsResponse

Retrieve a list of sessions.

The returned response is a pageable response and is Enumerable. For details on usage see PageableResponse.

Examples:

Request syntax with placeholder values

resp = client.list_sessions({
  next_token: "OrchestrationToken",
  max_results: 1,
  tags: {
    "TagKey" => "TagValue",
  },
  request_origin: "OrchestrationNameString",
})

Response structure

resp.ids #=> Array
resp.ids[0] #=> String
resp.sessions #=> Array
resp.sessions[0].id #=> String
resp.sessions[0].created_on #=> Time
resp.sessions[0].status #=> String, one of "PROVISIONING", "READY", "FAILED", "TIMEOUT", "STOPPING", "STOPPED"
resp.sessions[0].error_message #=> String
resp.sessions[0].description #=> String
resp.sessions[0].role #=> String
resp.sessions[0].command.name #=> String
resp.sessions[0].command.python_version #=> String
resp.sessions[0].default_arguments #=> Hash
resp.sessions[0].default_arguments["OrchestrationNameString"] #=> String
resp.sessions[0].connections.connections #=> Array
resp.sessions[0].connections.connections[0] #=> String
resp.sessions[0].progress #=> Float
resp.sessions[0].max_capacity #=> Float
resp.sessions[0].security_configuration #=> String
resp.sessions[0].glue_version #=> String
resp.sessions[0].number_of_workers #=> Integer
resp.sessions[0].worker_type #=> String, one of "Standard", "G.1X", "G.2X", "G.025X", "G.4X", "G.8X", "Z.2X"
resp.sessions[0].completed_on #=> Time
resp.sessions[0].execution_time #=> Float
resp.sessions[0].dpu_seconds #=> Float
resp.sessions[0].idle_timeout #=> Integer
resp.sessions[0].profile_name #=> String
resp.next_token #=> String

Parameters:

• params (Hash) (defaults to: {}) —

  ({})

Options Hash (params):

• :next_token (String) —

  The token for the next set of results, or null if there are no more result.

• :max_results (Integer) —

  The maximum number of results.

• :tags (Hash<String,String>) —

  Tags belonging to the session.

• :request_origin (String) —

  The origin of the request.

Returns:

• (Types::ListSessionsResponse) —

  Returns a response object which responds to the following methods:

  • #ids => Array&lt;String&gt;

  • #sessions => Array&lt;Types::Session&gt;

  • #next_token => String

See Also:

• AWS API Documentation

# File 'lib/aws-sdk-glue/client.rb', line 13853

def list_sessions(params = {}, options = {})
  req = build_request(:list_sessions, params)
  req.send_request(options)
end

#list_statements(params = {}) ⇒ Types::ListStatementsResponse

Lists statements for the session.

Examples:

Request syntax with placeholder values

resp = client.list_statements({
  session_id: "NameString", # required
  request_origin: "OrchestrationNameString",
  next_token: "OrchestrationToken",
})

Response structure

resp.statements #=> Array
resp.statements[0].id #=> Integer
resp.statements[0].code #=> String
resp.statements[0].state #=> String, one of "WAITING", "RUNNING", "AVAILABLE", "CANCELLING", "CANCELLED", "ERROR"
resp.statements[0].output.data.text_plain #=> String
resp.statements[0].output.execution_count #=> Integer
resp.statements[0].output.status #=> String, one of "WAITING", "RUNNING", "AVAILABLE", "CANCELLING", "CANCELLED", "ERROR"
resp.statements[0].output.error_name #=> String
resp.statements[0].output.error_value #=> String
resp.statements[0].output.traceback #=> Array
resp.statements[0].output.traceback[0] #=> String
resp.statements[0].progress #=> Float
resp.statements[0].started_on #=> Integer
resp.statements[0].completed_on #=> Integer
resp.next_token #=> String

Parameters:

• params (Hash) (defaults to: {}) —

  ({})

Options Hash (params):

• :session_id (required, String) —

  The Session ID of the statements.

• :request_origin (String) —

  The origin of the request to list statements.

• :next_token (String) —

  A continuation token, if this is a continuation call.

Returns:

• (Types::ListStatementsResponse) —

  Returns a response object which responds to the following methods:

  • #statements => Array&lt;Types::Statement&gt;

  • #next_token => String

See Also:

• AWS API Documentation

# File 'lib/aws-sdk-glue/client.rb', line 13904

def list_statements(params = {}, options = {})
  req = build_request(:list_statements, params)
  req.send_request(options)
end

#list_table_optimizer_runs(params = {}) ⇒ Types::ListTableOptimizerRunsResponse

Lists the history of previous optimizer runs for a specific table.

The returned response is a pageable response and is Enumerable. For details on usage see PageableResponse.

Examples:

Request syntax with placeholder values

resp = client.list_table_optimizer_runs({
  catalog_id: "CatalogIdString", # required
  database_name: "NameString", # required
  table_name: "NameString", # required
  type: "compaction", # required, accepts compaction
  max_results: 1,
  next_token: "ListTableOptimizerRunsToken",
})

Response structure

resp.catalog_id #=> String
resp.database_name #=> String
resp.table_name #=> String
resp.next_token #=> String
resp.table_optimizer_runs #=> Array
resp.table_optimizer_runs[0].event_type #=> String, one of "starting", "completed", "failed", "in_progress"
resp.table_optimizer_runs[0].start_timestamp #=> Time
resp.table_optimizer_runs[0].end_timestamp #=> Time
resp.table_optimizer_runs[0].metrics.number_of_bytes_compacted #=> String
resp.table_optimizer_runs[0].metrics.number_of_files_compacted #=> String
resp.table_optimizer_runs[0].metrics.number_of_dpus #=> String
resp.table_optimizer_runs[0].metrics.job_duration_in_hour #=> String
resp.table_optimizer_runs[0].error #=> String

Parameters:

• params (Hash) (defaults to: {}) —

  ({})

Options Hash (params):

• :catalog_id (required, String) —

  The Catalog ID of the table.

• :database_name (required, String) —

  The name of the database in the catalog in which the table resides.

• :table_name (required, String) —

  The name of the table.

• :type (required, String) —

  The type of table optimizer. Currently, the only valid value is ‘compaction`.

• :max_results (Integer) —

  The maximum number of optimizer runs to return on each call.

• :next_token (String) —

  A continuation token, if this is a continuation call.

Returns:

• (Types::ListTableOptimizerRunsResponse) —

  Returns a response object which responds to the following methods:

  • #catalog_id => String

  • #database_name => String

  • #table_name => String

  • #next_token => String

  • #table_optimizer_runs => Array&lt;Types::TableOptimizerRun&gt;

See Also:

• AWS API Documentation

# File 'lib/aws-sdk-glue/client.rb', line 13971

def list_table_optimizer_runs(params = {}, options = {})
  req = build_request(:list_table_optimizer_runs, params)
  req.send_request(options)
end

#list_triggers(params = {}) ⇒ Types::ListTriggersResponse

Retrieves the names of all trigger resources in this Amazon Web Services account, or the resources with the specified tag. This operation allows you to see which resources are available in your account, and their names.

This operation takes the optional ‘Tags` field, which you can use as a filter on the response so that tagged resources can be retrieved as a group. If you choose to use tags filtering, only resources with the tag are retrieved.

The returned response is a pageable response and is Enumerable. For details on usage see PageableResponse.

Examples:

Request syntax with placeholder values

resp = client.list_triggers({
  next_token: "GenericString",
  dependent_job_name: "NameString",
  max_results: 1,
  tags: {
    "TagKey" => "TagValue",
  },
})

Response structure

resp.trigger_names #=> Array
resp.trigger_names[0] #=> String
resp.next_token #=> String

Parameters:

• params (Hash) (defaults to: {}) —

  ({})

Options Hash (params):

• :next_token (String) —

  A continuation token, if this is a continuation request.

• :dependent_job_name (String) —

  The name of the job for which to retrieve triggers. The trigger that can start this job is returned. If there is no such trigger, all triggers are returned.

• :max_results (Integer) —

  The maximum size of a list to return.

• :tags (Hash<String,String>) —

  Specifies to return only these tagged resources.

Returns:

• (Types::ListTriggersResponse) —

  Returns a response object which responds to the following methods:

  • #trigger_names => Array&lt;String&gt;

  • #next_token => String

See Also:

• AWS API Documentation

# File 'lib/aws-sdk-glue/client.rb', line 14028

def list_triggers(params = {}, options = {})
  req = build_request(:list_triggers, params)
  req.send_request(options)
end

#list_usage_profiles(params = {}) ⇒ Types::ListUsageProfilesResponse

List all the Glue usage profiles.

The returned response is a pageable response and is Enumerable. For details on usage see PageableResponse.

Examples:

Request syntax with placeholder values

resp = client.list_usage_profiles({
  next_token: "OrchestrationToken",
  max_results: 1,
})

Response structure

resp.profiles #=> Array
resp.profiles[0].name #=> String
resp.profiles[0].description #=> String
resp.profiles[0].created_on #=> Time
resp.profiles[0].last_modified_on #=> Time
resp.next_token #=> String

Parameters:

• params (Hash) (defaults to: {}) —

  ({})

Options Hash (params):

• :next_token (String) —

  A continuation token, included if this is a continuation call.

• :max_results (Integer) —

  The maximum number of usage profiles to return in a single response.

Returns:

• (Types::ListUsageProfilesResponse) —

  Returns a response object which responds to the following methods:

  • #profiles => Array&lt;Types::UsageProfileDefinition&gt;

  • #next_token => String

See Also:

• AWS API Documentation

# File 'lib/aws-sdk-glue/client.rb', line 14068

def list_usage_profiles(params = {}, options = {})
  req = build_request(:list_usage_profiles, params)
  req.send_request(options)
end

#list_workflows(params = {}) ⇒ Types::ListWorkflowsResponse

Lists names of workflows created in the account.

The returned response is a pageable response and is Enumerable. For details on usage see PageableResponse.

Examples:

Request syntax with placeholder values

resp = client.list_workflows({
  next_token: "GenericString",
  max_results: 1,
})

Response structure

resp.workflows #=> Array
resp.workflows[0] #=> String
resp.next_token #=> String

Parameters:

• params (Hash) (defaults to: {}) —

  ({})

Options Hash (params):

• :next_token (String) —

  A continuation token, if this is a continuation request.

• :max_results (Integer) —

  The maximum size of a list to return.

Returns:

• (Types::ListWorkflowsResponse) —

  Returns a response object which responds to the following methods:

  • #workflows => Array&lt;String&gt;

  • #next_token => String

See Also:

• AWS API Documentation

# File 'lib/aws-sdk-glue/client.rb', line 14105

def list_workflows(params = {}, options = {})
  req = build_request(:list_workflows, params)
  req.send_request(options)
end

#put_data_catalog_encryption_settings(params = {}) ⇒ Struct

Sets the security configuration for a specified catalog. After the configuration has been set, the specified encryption is applied to every catalog write thereafter.

Examples:

Request syntax with placeholder values

resp = client.put_data_catalog_encryption_settings({
  catalog_id: "CatalogIdString",
  data_catalog_encryption_settings: { # required
    encryption_at_rest: {
      catalog_encryption_mode: "DISABLED", # required, accepts DISABLED, SSE-KMS, SSE-KMS-WITH-SERVICE-ROLE
      sse_aws_kms_key_id: "NameString",
      catalog_encryption_service_role: "IAMRoleArn",
    },
    connection_password_encryption: {
      return_connection_password_encrypted: false, # required
      aws_kms_key_id: "NameString",
    },
  },
})

Parameters:

• params (Hash) (defaults to: {}) —

  ({})

Options Hash (params):

• :catalog_id (String) —

  The ID of the Data Catalog to set the security configuration for. If none is provided, the Amazon Web Services account ID is used by default.

• :data_catalog_encryption_settings (required, Types::DataCatalogEncryptionSettings) —

  The security configuration to set.

Returns:

• (Struct) —

  Returns an empty response.

See Also:

• AWS API Documentation

# File 'lib/aws-sdk-glue/client.rb', line 14145

def put_data_catalog_encryption_settings(params = {}, options = {})
  req = build_request(:put_data_catalog_encryption_settings, params)
  req.send_request(options)
end

#put_resource_policy(params = {}) ⇒ Types::PutResourcePolicyResponse

Sets the Data Catalog resource policy for access control.

Examples:

Request syntax with placeholder values

resp = client.put_resource_policy({
  policy_in_json: "PolicyJsonString", # required
  resource_arn: "GlueResourceArn",
  policy_hash_condition: "HashString",
  policy_exists_condition: "MUST_EXIST", # accepts MUST_EXIST, NOT_EXIST, NONE
  enable_hybrid: "TRUE", # accepts TRUE, FALSE
})

Response structure

resp.policy_hash #=> String

Parameters:

• params (Hash) (defaults to: {}) —

  ({})

Options Hash (params):

• :policy_in_json (required, String) —

  Contains the policy document to set, in JSON format.

• :resource_arn (String) —

  Do not use. For internal use only.

• :policy_hash_condition (String) —

  The hash value returned when the previous policy was set using ‘PutResourcePolicy`. Its purpose is to prevent concurrent modifications of a policy. Do not use this parameter if no previous policy has been set.

• :policy_exists_condition (String) —

  A value of ‘MUST_EXIST` is used to update a policy. A value of `NOT_EXIST` is used to create a new policy. If a value of `NONE` or a null value is used, the call does not depend on the existence of a policy.

• :enable_hybrid (String) —

  If ‘’TRUE’‘, indicates that you are using both methods to grant cross-account access to Data Catalog resources:

  • By directly updating the resource policy with ‘PutResourePolicy`

  • By using the **Grant permissions** command on the Amazon Web Services Management Console.

  Must be set to ‘’TRUE’‘ if you have already used the Management Console to grant cross-account access, otherwise the call fails. Default is ’FALSE’.

Returns:

• (Types::PutResourcePolicyResponse) —

  Returns a response object which responds to the following methods:

  • #policy_hash => String

See Also:

• AWS API Documentation

# File 'lib/aws-sdk-glue/client.rb', line 14205

def put_resource_policy(params = {}, options = {})
  req = build_request(:put_resource_policy, params)
  req.send_request(options)
end

#put_schema_version_metadata(params = {}) ⇒ Types::PutSchemaVersionMetadataResponse

Puts the metadata key value pair for a specified schema version ID. A maximum of 10 key value pairs will be allowed per schema version. They can be added over one or more calls.

Examples:

Request syntax with placeholder values

resp = client.put_schema_version_metadata({
  schema_id: {
    schema_arn: "GlueResourceArn",
    schema_name: "SchemaRegistryNameString",
    registry_name: "SchemaRegistryNameString",
  },
  schema_version_number: {
    latest_version: false,
    version_number: 1,
  },
  schema_version_id: "SchemaVersionIdString",
  metadata_key_value: { # required
    metadata_key: "MetadataKeyString",
    metadata_value: "MetadataValueString",
  },
})

Response structure

resp.schema_arn #=> String
resp.schema_name #=> String
resp.registry_name #=> String
resp.latest_version #=> Boolean
resp.version_number #=> Integer
resp.schema_version_id #=> String
resp.metadata_key #=> String
resp.metadata_value #=> String

Parameters:

• params (Hash) (defaults to: {}) —

  ({})

Options Hash (params):

• :schema_id (Types::SchemaId) —

  The unique ID for the schema.

• :schema_version_number (Types::SchemaVersionNumber) —

  The version number of the schema.

• :schema_version_id (String) —

  The unique version ID of the schema version.

• :metadata_key_value (required, Types::MetadataKeyValuePair) —

  The metadata key’s corresponding value.

Returns:

• (Types::PutSchemaVersionMetadataResponse) —

  Returns a response object which responds to the following methods:

  • #schema_arn => String

  • #schema_name => String

  • #registry_name => String

  • #latest_version => Boolean

  • #version_number => Integer

  • #schema_version_id => String

  • #metadata_key => String

  • #metadata_value => String

See Also:

• AWS API Documentation

# File 'lib/aws-sdk-glue/client.rb', line 14271

def put_schema_version_metadata(params = {}, options = {})
  req = build_request(:put_schema_version_metadata, params)
  req.send_request(options)
end

#put_workflow_run_properties(params = {}) ⇒ Struct

Puts the specified workflow run properties for the given workflow run. If a property already exists for the specified run, then it overrides the value otherwise adds the property to existing properties.

Examples:

Request syntax with placeholder values

resp = client.put_workflow_run_properties({
  name: "NameString", # required
  run_id: "IdString", # required
  run_properties: { # required
    "IdString" => "GenericString",
  },
})

Parameters:

• params (Hash) (defaults to: {}) —

  ({})

Options Hash (params):

• :name (required, String) —

  Name of the workflow which was run.

• :run_id (required, String) —

  The ID of the workflow run for which the run properties should be updated.

• :run_properties (required, Hash<String,String>) —

  The properties to put for the specified run.

Returns:

• (Struct) —

  Returns an empty response.

See Also:

• AWS API Documentation

# File 'lib/aws-sdk-glue/client.rb', line 14306

def put_workflow_run_properties(params = {}, options = {})
  req = build_request(:put_workflow_run_properties, params)
  req.send_request(options)
end

#query_schema_version_metadata(params = {}) ⇒ Types::QuerySchemaVersionMetadataResponse

Queries for the schema version metadata information.

Examples:

Request syntax with placeholder values

resp = client.query_schema_version_metadata({
  schema_id: {
    schema_arn: "GlueResourceArn",
    schema_name: "SchemaRegistryNameString",
    registry_name: "SchemaRegistryNameString",
  },
  schema_version_number: {
    latest_version: false,
    version_number: 1,
  },
  schema_version_id: "SchemaVersionIdString",
  metadata_list: [
    {
      metadata_key: "MetadataKeyString",
      metadata_value: "MetadataValueString",
    },
  ],
  max_results: 1,
  next_token: "SchemaRegistryTokenString",
})

Response structure

resp.metadata_info_map #=> Hash
resp.metadata_info_map["MetadataKeyString"].metadata_value #=> String
resp.metadata_info_map["MetadataKeyString"].created_time #=> String
resp.metadata_info_map["MetadataKeyString"].other_metadata_value_list #=> Array
resp.metadata_info_map["MetadataKeyString"].other_metadata_value_list[0].metadata_value #=> String
resp.metadata_info_map["MetadataKeyString"].other_metadata_value_list[0].created_time #=> String
resp.schema_version_id #=> String
resp.next_token #=> String

Parameters:

• params (Hash) (defaults to: {}) —

  ({})

Options Hash (params):

• :schema_id (Types::SchemaId) —

  A wrapper structure that may contain the schema name and Amazon Resource Name (ARN).

• :schema_version_number (Types::SchemaVersionNumber) —

  The version number of the schema.

• :schema_version_id (String) —

  The unique version ID of the schema version.

• :metadata_list (Array<Types::MetadataKeyValuePair>) —

  Search key-value pairs for metadata, if they are not provided all the metadata information will be fetched.

• :max_results (Integer) —

  Maximum number of results required per page. If the value is not supplied, this will be defaulted to 25 per page.

• :next_token (String) —

  A continuation token, if this is a continuation call.

Returns:

• (Types::QuerySchemaVersionMetadataResponse) —

  Returns a response object which responds to the following methods:

  • #metadata_info_map => Hash&lt;String,Types::MetadataInfo&gt;

  • #schema_version_id => String

  • #next_token => String

See Also:

• AWS API Documentation

# File 'lib/aws-sdk-glue/client.rb', line 14378

def query_schema_version_metadata(params = {}, options = {})
  req = build_request(:query_schema_version_metadata, params)
  req.send_request(options)
end

#register_schema_version(params = {}) ⇒ Types::RegisterSchemaVersionResponse

Adds a new version to the existing schema. Returns an error if new version of schema does not meet the compatibility requirements of the schema set. This API will not create a new schema set and will return a 404 error if the schema set is not already present in the Schema Registry.

If this is the first schema definition to be registered in the Schema Registry, this API will store the schema version and return immediately. Otherwise, this call has the potential to run longer than other operations due to compatibility modes. You can call the ‘GetSchemaVersion` API with the `SchemaVersionId` to check compatibility modes.

If the same schema definition is already stored in Schema Registry as a version, the schema ID of the existing schema is returned to the caller.

Examples:

Request syntax with placeholder values

resp = client.register_schema_version({
  schema_id: { # required
    schema_arn: "GlueResourceArn",
    schema_name: "SchemaRegistryNameString",
    registry_name: "SchemaRegistryNameString",
  },
  schema_definition: "SchemaDefinitionString", # required
})

Response structure

resp.schema_version_id #=> String
resp.version_number #=> Integer
resp.status #=> String, one of "AVAILABLE", "PENDING", "FAILURE", "DELETING"

Parameters:

• params (Hash) (defaults to: {}) —

  ({})

Options Hash (params):

• :schema_id (required, Types::SchemaId) —

  This is a wrapper structure to contain schema identity fields. The structure contains:

  • SchemaId$SchemaArn: The Amazon Resource Name (ARN) of the schema. Either ‘SchemaArn` or `SchemaName` and `RegistryName` has to be provided.

  • SchemaId$SchemaName: The name of the schema. Either ‘SchemaArn` or `SchemaName` and `RegistryName` has to be provided.

• :schema_definition (required, String) —

  The schema definition using the ‘DataFormat` setting for the `SchemaName`.

Returns:

• (Types::RegisterSchemaVersionResponse) —

  Returns a response object which responds to the following methods:

  • #schema_version_id => String

  • #version_number => Integer

  • #status => String

See Also:

• AWS API Documentation

# File 'lib/aws-sdk-glue/client.rb', line 14442

def register_schema_version(params = {}, options = {})
  req = build_request(:register_schema_version, params)
  req.send_request(options)
end

#remove_schema_version_metadata(params = {}) ⇒ Types::RemoveSchemaVersionMetadataResponse

Removes a key value pair from the schema version metadata for the specified schema version ID.

Examples:

Request syntax with placeholder values

resp = client.remove_schema_version_metadata({
  schema_id: {
    schema_arn: "GlueResourceArn",
    schema_name: "SchemaRegistryNameString",
    registry_name: "SchemaRegistryNameString",
  },
  schema_version_number: {
    latest_version: false,
    version_number: 1,
  },
  schema_version_id: "SchemaVersionIdString",
  metadata_key_value: { # required
    metadata_key: "MetadataKeyString",
    metadata_value: "MetadataValueString",
  },
})

Response structure

resp.schema_arn #=> String
resp.schema_name #=> String
resp.registry_name #=> String
resp.latest_version #=> Boolean
resp.version_number #=> Integer
resp.schema_version_id #=> String
resp.metadata_key #=> String
resp.metadata_value #=> String

Parameters:

• params (Hash) (defaults to: {}) —

  ({})

Options Hash (params):

• :schema_id (Types::SchemaId) —

  A wrapper structure that may contain the schema name and Amazon Resource Name (ARN).

• :schema_version_number (Types::SchemaVersionNumber) —

  The version number of the schema.

• :schema_version_id (String) —

  The unique version ID of the schema version.

• :metadata_key_value (required, Types::MetadataKeyValuePair) —

  The value of the metadata key.

Returns:

• (Types::RemoveSchemaVersionMetadataResponse) —

  Returns a response object which responds to the following methods:

  • #schema_arn => String

  • #schema_name => String

  • #registry_name => String

  • #latest_version => Boolean

  • #version_number => Integer

  • #schema_version_id => String

  • #metadata_key => String

  • #metadata_value => String

See Also:

• AWS API Documentation

# File 'lib/aws-sdk-glue/client.rb', line 14508

def remove_schema_version_metadata(params = {}, options = {})
  req = build_request(:remove_schema_version_metadata, params)
  req.send_request(options)
end

#reset_job_bookmark(params = {}) ⇒ Types::ResetJobBookmarkResponse

Resets a bookmark entry.

For more information about enabling and using job bookmarks, see:

• Tracking processed data using job bookmarks][1

• Job parameters used by Glue][2

• Job structure][3

[1]: docs.aws.amazon.com/glue/latest/dg/monitor-continuations.html [2]: docs.aws.amazon.com/glue/latest/dg/aws-glue-programming-etl-glue-arguments.html [3]: docs.aws.amazon.com/glue/latest/dg/aws-glue-api-jobs-job.html#aws-glue-api-jobs-job-Job

Examples:

Request syntax with placeholder values

resp = client.reset_job_bookmark({
  job_name: "JobName", # required
  run_id: "RunId",
})

Response structure

resp.job_bookmark_entry.job_name #=> String
resp.job_bookmark_entry.version #=> Integer
resp.job_bookmark_entry.run #=> Integer
resp.job_bookmark_entry.attempt #=> Integer
resp.job_bookmark_entry.previous_run_id #=> String
resp.job_bookmark_entry.run_id #=> String
resp.job_bookmark_entry.job_bookmark #=> String

Parameters:

• params (Hash) (defaults to: {}) —

  ({})

Options Hash (params):

• :job_name (required, String) —

  The name of the job in question.

• :run_id (String) —

  The unique run identifier associated with this job run.

Returns:

• (Types::ResetJobBookmarkResponse) —

  Returns a response object which responds to the following methods:

  • #job_bookmark_entry => Types::JobBookmarkEntry

See Also:

• AWS API Documentation

# File 'lib/aws-sdk-glue/client.rb', line 14560

def reset_job_bookmark(params = {}, options = {})
  req = build_request(:reset_job_bookmark, params)
  req.send_request(options)
end

#resume_workflow_run(params = {}) ⇒ Types::ResumeWorkflowRunResponse

Restarts selected nodes of a previous partially completed workflow run and resumes the workflow run. The selected nodes and all nodes that are downstream from the selected nodes are run.

Examples:

Request syntax with placeholder values

resp = client.resume_workflow_run({
  name: "NameString", # required
  run_id: "IdString", # required
  node_ids: ["NameString"], # required
})

Response structure

resp.run_id #=> String
resp.node_ids #=> Array
resp.node_ids[0] #=> String

Parameters:

• params (Hash) (defaults to: {}) —

  ({})

Options Hash (params):

• :name (required, String) —

  The name of the workflow to resume.

• :run_id (required, String) —

  The ID of the workflow run to resume.

• :node_ids (required, Array<String>) —

  A list of the node IDs for the nodes you want to restart. The nodes that are to be restarted must have a run attempt in the original run.

Returns:

• (Types::ResumeWorkflowRunResponse) —

  Returns a response object which responds to the following methods:

  • #run_id => String

  • #node_ids => Array&lt;String&gt;

See Also:

• AWS API Documentation

# File 'lib/aws-sdk-glue/client.rb', line 14602

def resume_workflow_run(params = {}, options = {})
  req = build_request(:resume_workflow_run, params)
  req.send_request(options)
end

#run_statement(params = {}) ⇒ Types::RunStatementResponse

Executes the statement.

Examples:

Request syntax with placeholder values

resp = client.run_statement({
  session_id: "NameString", # required
  code: "OrchestrationStatementCodeString", # required
  request_origin: "OrchestrationNameString",
})

Response structure

resp.id #=> Integer

Parameters:

• params (Hash) (defaults to: {}) —

  ({})

Options Hash (params):

• :session_id (required, String) —

  The Session Id of the statement to be run.

• :code (required, String) —

  The statement code to be run.

• :request_origin (String) —

  The origin of the request.

Returns:

• (Types::RunStatementResponse) —

  Returns a response object which responds to the following methods:

  • #id => Integer

See Also:

• AWS API Documentation

# File 'lib/aws-sdk-glue/client.rb', line 14638

def run_statement(params = {}, options = {})
  req = build_request(:run_statement, params)
  req.send_request(options)
end

#search_tables(params = {}) ⇒ Types::SearchTablesResponse

Searches a set of tables based on properties in the table metadata as well as on the parent database. You can search against text or filter conditions.

You can only get tables that you have access to based on the security policies defined in Lake Formation. You need at least a read-only access to the table for it to be returned. If you do not have access to all the columns in the table, these columns will not be searched against when returning the list of tables back to you. If you have access to the columns but not the data in the columns, those columns and the associated metadata for those columns will be included in the search.

The returned response is a pageable response and is Enumerable. For details on usage see PageableResponse.

Examples:

Request syntax with placeholder values

resp = client.search_tables({
  catalog_id: "CatalogIdString",
  next_token: "Token",
  filters: [
    {
      key: "ValueString",
      value: "ValueString",
      comparator: "EQUALS", # accepts EQUALS, GREATER_THAN, LESS_THAN, GREATER_THAN_EQUALS, LESS_THAN_EQUALS
    },
  ],
  search_text: "ValueString",
  sort_criteria: [
    {
      field_name: "ValueString",
      sort: "ASC", # accepts ASC, DESC
    },
  ],
  max_results: 1,
  resource_share_type: "FOREIGN", # accepts FOREIGN, ALL, FEDERATED
})

Response structure

resp.next_token #=> String
resp.table_list #=> Array
resp.table_list[0].name #=> String
resp.table_list[0].database_name #=> String
resp.table_list[0].description #=> String
resp.table_list[0].owner #=> String
resp.table_list[0].create_time #=> Time
resp.table_list[0].update_time #=> Time
resp.table_list[0].last_access_time #=> Time
resp.table_list[0].last_analyzed_time #=> Time
resp.table_list[0].retention #=> Integer
resp.table_list[0].storage_descriptor.columns #=> Array
resp.table_list[0].storage_descriptor.columns[0].name #=> String
resp.table_list[0].storage_descriptor.columns[0].type #=> String
resp.table_list[0].storage_descriptor.columns[0].comment #=> String
resp.table_list[0].storage_descriptor.columns[0].parameters #=> Hash
resp.table_list[0].storage_descriptor.columns[0].parameters["KeyString"] #=> String
resp.table_list[0].storage_descriptor.location #=> String
resp.table_list[0].storage_descriptor.additional_locations #=> Array
resp.table_list[0].storage_descriptor.additional_locations[0] #=> String
resp.table_list[0].storage_descriptor.input_format #=> String
resp.table_list[0].storage_descriptor.output_format #=> String
resp.table_list[0].storage_descriptor.compressed #=> Boolean
resp.table_list[0].storage_descriptor.number_of_buckets #=> Integer
resp.table_list[0].storage_descriptor.serde_info.name #=> String
resp.table_list[0].storage_descriptor.serde_info.serialization_library #=> String
resp.table_list[0].storage_descriptor.serde_info.parameters #=> Hash
resp.table_list[0].storage_descriptor.serde_info.parameters["KeyString"] #=> String
resp.table_list[0].storage_descriptor.bucket_columns #=> Array
resp.table_list[0].storage_descriptor.bucket_columns[0] #=> String
resp.table_list[0].storage_descriptor.sort_columns #=> Array
resp.table_list[0].storage_descriptor.sort_columns[0].column #=> String
resp.table_list[0].storage_descriptor.sort_columns[0].sort_order #=> Integer
resp.table_list[0].storage_descriptor.parameters #=> Hash
resp.table_list[0].storage_descriptor.parameters["KeyString"] #=> String
resp.table_list[0].storage_descriptor.skewed_info.skewed_column_names #=> Array
resp.table_list[0].storage_descriptor.skewed_info.skewed_column_names[0] #=> String
resp.table_list[0].storage_descriptor.skewed_info.skewed_column_values #=> Array
resp.table_list[0].storage_descriptor.skewed_info.skewed_column_values[0] #=> String
resp.table_list[0].storage_descriptor.skewed_info.skewed_column_value_location_maps #=> Hash
resp.table_list[0].storage_descriptor.skewed_info.skewed_column_value_location_maps["ColumnValuesString"] #=> String
resp.table_list[0].storage_descriptor.stored_as_sub_directories #=> Boolean
resp.table_list[0].storage_descriptor.schema_reference.schema_id.schema_arn #=> String
resp.table_list[0].storage_descriptor.schema_reference.schema_id.schema_name #=> String
resp.table_list[0].storage_descriptor.schema_reference.schema_id.registry_name #=> String
resp.table_list[0].storage_descriptor.schema_reference.schema_version_id #=> String
resp.table_list[0].storage_descriptor.schema_reference.schema_version_number #=> Integer
resp.table_list[0].partition_keys #=> Array
resp.table_list[0].partition_keys[0].name #=> String
resp.table_list[0].partition_keys[0].type #=> String
resp.table_list[0].partition_keys[0].comment #=> String
resp.table_list[0].partition_keys[0].parameters #=> Hash
resp.table_list[0].partition_keys[0].parameters["KeyString"] #=> String
resp.table_list[0].view_original_text #=> String
resp.table_list[0].view_expanded_text #=> String
resp.table_list[0].table_type #=> String
resp.table_list[0].parameters #=> Hash
resp.table_list[0].parameters["KeyString"] #=> String
resp.table_list[0].created_by #=> String
resp.table_list[0].is_registered_with_lake_formation #=> Boolean
resp.table_list[0].target_table.catalog_id #=> String
resp.table_list[0].target_table.database_name #=> String
resp.table_list[0].target_table.name #=> String
resp.table_list[0].target_table.region #=> String
resp.table_list[0].catalog_id #=> String
resp.table_list[0].version_id #=> String
resp.table_list[0].federated_table.identifier #=> String
resp.table_list[0].federated_table.database_identifier #=> String
resp.table_list[0].federated_table.connection_name #=> String
resp.table_list[0].view_definition.is_protected #=> Boolean
resp.table_list[0].view_definition.definer #=> String
resp.table_list[0].view_definition.sub_objects #=> Array
resp.table_list[0].view_definition.sub_objects[0] #=> String
resp.table_list[0].view_definition.representations #=> Array
resp.table_list[0].view_definition.representations[0].dialect #=> String, one of "REDSHIFT", "ATHENA", "SPARK"
resp.table_list[0].view_definition.representations[0].dialect_version #=> String
resp.table_list[0].view_definition.representations[0].view_original_text #=> String
resp.table_list[0].view_definition.representations[0].view_expanded_text #=> String
resp.table_list[0].view_definition.representations[0].validation_connection #=> String
resp.table_list[0].view_definition.representations[0].is_stale #=> Boolean
resp.table_list[0].is_multi_dialect_view #=> Boolean

Parameters:

• params (Hash) (defaults to: {}) —

  ({})

Options Hash (params):

• :catalog_id (String) —

  A unique identifier, consisting of ‘ account_id `.

• :next_token (String) —

  A continuation token, included if this is a continuation call.

• :filters (Array<Types::PropertyPredicate>) —

  A list of key-value pairs, and a comparator used to filter the search results. Returns all entities matching the predicate.

  The ‘Comparator` member of the `PropertyPredicate` struct is used only for time fields, and can be omitted for other field types. Also, when comparing string values, such as when `Key=Name`, a fuzzy match algorithm is used. The `Key` field (for example, the value of the `Name` field) is split on certain punctuation characters, for example, -, :, #, etc. into tokens. Then each token is exact-match compared with the `Value` member of `PropertyPredicate`. For example, if `Key=Name` and `Value=link`, tables named `customer-link` and `xx-link-yy` are returned, but `xxlinkyy` is not returned.

• :search_text (String) —

  A string used for a text search.

  Specifying a value in quotes filters based on an exact match to the value.

• :sort_criteria (Array<Types::SortCriterion>) —

  A list of criteria for sorting the results by a field name, in an ascending or descending order.

• :max_results (Integer) —

  The maximum number of tables to return in a single response.

• :resource_share_type (String) —

  Allows you to specify that you want to search the tables shared with your account. The allowable values are ‘FOREIGN` or `ALL`.

  • If set to ‘FOREIGN`, will search the tables shared with your account.

  • If set to ‘ALL`, will search the tables shared with your account, as well as the tables in yor local account.

Returns:

• (Types::SearchTablesResponse) —

  Returns a response object which responds to the following methods:

  • #next_token => String

  • #table_list => Array&lt;Types::Table&gt;

See Also:

• AWS API Documentation

# File 'lib/aws-sdk-glue/client.rb', line 14817

def search_tables(params = {}, options = {})
  req = build_request(:search_tables, params)
  req.send_request(options)
end

#start_blueprint_run(params = {}) ⇒ Types::StartBlueprintRunResponse

Starts a new run of the specified blueprint.

Examples:

Request syntax with placeholder values

resp = client.start_blueprint_run({
  blueprint_name: "OrchestrationNameString", # required
  parameters: "BlueprintParameters",
  role_arn: "OrchestrationIAMRoleArn", # required
})

Response structure

resp.run_id #=> String

Parameters:

• params (Hash) (defaults to: {}) —

  ({})

Options Hash (params):

• :blueprint_name (required, String) —

  The name of the blueprint.

• :parameters (String) —

  Specifies the parameters as a ‘BlueprintParameters` object.

• :role_arn (required, String) —

  Specifies the IAM role used to create the workflow.

Returns:

• (Types::StartBlueprintRunResponse) —

  Returns a response object which responds to the following methods:

  • #run_id => String

See Also:

• AWS API Documentation

# File 'lib/aws-sdk-glue/client.rb', line 14853

def start_blueprint_run(params = {}, options = {})
  req = build_request(:start_blueprint_run, params)
  req.send_request(options)
end

#start_column_statistics_task_run(params = {}) ⇒ Types::StartColumnStatisticsTaskRunResponse

Starts a column statistics task run, for a specified table and columns.

Examples:

Request syntax with placeholder values

resp = client.start_column_statistics_task_run({
  database_name: "NameString", # required
  table_name: "NameString", # required
  column_name_list: ["NameString"],
  role: "NameString", # required
  sample_size: 1.0,
  catalog_id: "NameString",
  security_configuration: "NameString",
})

Response structure

resp.column_statistics_task_run_id #=> String

Parameters:

• params (Hash) (defaults to: {}) —

  ({})

Options Hash (params):

• :database_name (required, String) —

  The name of the database where the table resides.

• :table_name (required, String) —

  The name of the table to generate statistics.

• :column_name_list (Array<String>) —

  A list of the column names to generate statistics. If none is supplied, all column names for the table will be used by default.

• :role (required, String) —

  The IAM role that the service assumes to generate statistics.

• :sample_size (Float) —

  The percentage of rows used to generate statistics. If none is supplied, the entire table will be used to generate stats.

• :catalog_id (String) —

  The ID of the Data Catalog where the table reside. If none is supplied, the Amazon Web Services account ID is used by default.

• :security_configuration (String) —

  Name of the security configuration that is used to encrypt CloudWatch logs for the column stats task run.

Returns:

• (Types::StartColumnStatisticsTaskRunResponse) —

  Returns a response object which responds to the following methods:

  • #column_statistics_task_run_id => String

See Also:

• AWS API Documentation

# File 'lib/aws-sdk-glue/client.rb', line 14910

def start_column_statistics_task_run(params = {}, options = {})
  req = build_request(:start_column_statistics_task_run, params)
  req.send_request(options)
end

#start_crawler(params = {}) ⇒ Struct

Starts a crawl using the specified crawler, regardless of what is scheduled. If the crawler is already running, returns a [CrawlerRunningException].

[1]: docs.aws.amazon.com/glue/latest/dg/aws-glue-api-exceptions.html#aws-glue-api-exceptions-CrawlerRunningException

Examples:

Request syntax with placeholder values

resp = client.start_crawler({
  name: "NameString", # required
})

Parameters:

• params (Hash) (defaults to: {}) —

  ({})

Options Hash (params):

• :name (required, String) —

  Name of the crawler to start.

Returns:

• (Struct) —

  Returns an empty response.

See Also:

• AWS API Documentation

# File 'lib/aws-sdk-glue/client.rb', line 14938

def start_crawler(params = {}, options = {})
  req = build_request(:start_crawler, params)
  req.send_request(options)
end

#start_crawler_schedule(params = {}) ⇒ Struct

Changes the schedule state of the specified crawler to ‘SCHEDULED`, unless the crawler is already running or the schedule state is already `SCHEDULED`.

Examples:

Request syntax with placeholder values

resp = client.start_crawler_schedule({
  crawler_name: "NameString", # required
})

Parameters:

• params (Hash) (defaults to: {}) —

  ({})

Options Hash (params):

• :crawler_name (required, String) —

  Name of the crawler to schedule.

Returns:

• (Struct) —

  Returns an empty response.

See Also:

• AWS API Documentation

# File 'lib/aws-sdk-glue/client.rb', line 14962

def start_crawler_schedule(params = {}, options = {})
  req = build_request(:start_crawler_schedule, params)
  req.send_request(options)
end

#start_data_quality_rule_recommendation_run(params = {}) ⇒ Types::StartDataQualityRuleRecommendationRunResponse

Starts a recommendation run that is used to generate rules when you don’t know what rules to write. Glue Data Quality analyzes the data and comes up with recommendations for a potential ruleset. You can then triage the ruleset and modify the generated ruleset to your liking.

Recommendation runs are automatically deleted after 90 days.

Examples:

Request syntax with placeholder values

resp = client.start_data_quality_rule_recommendation_run({
  data_source: { # required
    glue_table: { # required
      database_name: "NameString", # required
      table_name: "NameString", # required
      catalog_id: "NameString",
      connection_name: "NameString",
      additional_options: {
        "NameString" => "DescriptionString",
      },
    },
  },
  role: "RoleString", # required
  number_of_workers: 1,
  timeout: 1,
  created_ruleset_name: "NameString",
  client_token: "HashString",
})

Response structure

resp.run_id #=> String

Parameters:

• params (Hash) (defaults to: {}) —

  ({})

Options Hash (params):

• :data_source (required, Types::DataSource) —

  The data source (Glue table) associated with this run.

• :role (required, String) —

  An IAM role supplied to encrypt the results of the run.

• :number_of_workers (Integer) —

  The number of ‘G.1X` workers to be used in the run. The default is 5.

• :timeout (Integer) —

  The timeout for a run in minutes. This is the maximum time that a run can consume resources before it is terminated and enters ‘TIMEOUT` status. The default is 2,880 minutes (48 hours).

• :created_ruleset_name (String) —

  A name for the ruleset.

• :client_token (String) —

  Used for idempotency and is recommended to be set to a random ID (such as a UUID) to avoid creating or starting multiple instances of the same resource.

Returns:

• (Types::StartDataQualityRuleRecommendationRunResponse) —

  Returns a response object which responds to the following methods:

  • #run_id => String

See Also:

• AWS API Documentation

# File 'lib/aws-sdk-glue/client.rb', line 15030

def start_data_quality_rule_recommendation_run(params = {}, options = {})
  req = build_request(:start_data_quality_rule_recommendation_run, params)
  req.send_request(options)
end

#start_data_quality_ruleset_evaluation_run(params = {}) ⇒ Types::StartDataQualityRulesetEvaluationRunResponse

Once you have a ruleset definition (either recommended or your own), you call this operation to evaluate the ruleset against a data source (Glue table). The evaluation computes results which you can retrieve with the ‘GetDataQualityResult` API.

Examples:

Request syntax with placeholder values

resp = client.start_data_quality_ruleset_evaluation_run({
  data_source: { # required
    glue_table: { # required
      database_name: "NameString", # required
      table_name: "NameString", # required
      catalog_id: "NameString",
      connection_name: "NameString",
      additional_options: {
        "NameString" => "DescriptionString",
      },
    },
  },
  role: "RoleString", # required
  number_of_workers: 1,
  timeout: 1,
  client_token: "HashString",
  additional_run_options: {
    cloud_watch_metrics_enabled: false,
    results_s3_prefix: "UriString",
    composite_rule_evaluation_method: "COLUMN", # accepts COLUMN, ROW
  },
  ruleset_names: ["NameString"], # required
  additional_data_sources: {
    "NameString" => {
      glue_table: { # required
        database_name: "NameString", # required
        table_name: "NameString", # required
        catalog_id: "NameString",
        connection_name: "NameString",
        additional_options: {
          "NameString" => "DescriptionString",
        },
      },
    },
  },
})

Response structure

resp.run_id #=> String

Parameters:

• params (Hash) (defaults to: {}) —

  ({})

Options Hash (params):

• :data_source (required, Types::DataSource) —

  The data source (Glue table) associated with this run.

• :role (required, String) —

  An IAM role supplied to encrypt the results of the run.

• :number_of_workers (Integer) —

  The number of ‘G.1X` workers to be used in the run. The default is 5.

• :timeout (Integer) —

  The timeout for a run in minutes. This is the maximum time that a run can consume resources before it is terminated and enters ‘TIMEOUT` status. The default is 2,880 minutes (48 hours).

• :client_token (String) —

  Used for idempotency and is recommended to be set to a random ID (such as a UUID) to avoid creating or starting multiple instances of the same resource.

• :additional_run_options (Types::DataQualityEvaluationRunAdditionalRunOptions) —

  Additional run options you can specify for an evaluation run.

• :ruleset_names (required, Array<String>) —

  A list of ruleset names.

• :additional_data_sources (Hash<String,Types::DataSource>) —

  A map of reference strings to additional data sources you can specify for an evaluation run.

Returns:

• (Types::StartDataQualityRulesetEvaluationRunResponse) —

  Returns a response object which responds to the following methods:

  • #run_id => String

See Also:

• AWS API Documentation

# File 'lib/aws-sdk-glue/client.rb', line 15120

def start_data_quality_ruleset_evaluation_run(params = {}, options = {})
  req = build_request(:start_data_quality_ruleset_evaluation_run, params)
  req.send_request(options)
end

#start_export_labels_task_run(params = {}) ⇒ Types::StartExportLabelsTaskRunResponse

Begins an asynchronous task to export all labeled data for a particular transform. This task is the only label-related API call that is not part of the typical active learning workflow. You typically use ‘StartExportLabelsTaskRun` when you want to work with all of your existing labels at the same time, such as when you want to remove or change labels that were previously submitted as truth. This API operation accepts the `TransformId` whose labels you want to export and an Amazon Simple Storage Service (Amazon S3) path to export the labels to. The operation returns a `TaskRunId`. You can check on the status of your task run by calling the `GetMLTaskRun` API.

Examples:

Request syntax with placeholder values

resp = client.start_export_labels_task_run({
  transform_id: "HashString", # required
  output_s3_path: "UriString", # required
})

Response structure

resp.task_run_id #=> String

Parameters:

• params (Hash) (defaults to: {}) —

  ({})

Options Hash (params):

• :transform_id (required, String) —

  The unique identifier of the machine learning transform.

• :output_s3_path (required, String) —

  The Amazon S3 path where you export the labels.

Returns:

• (Types::StartExportLabelsTaskRunResponse) —

  Returns a response object which responds to the following methods:

  • #task_run_id => String

See Also:

• AWS API Documentation

# File 'lib/aws-sdk-glue/client.rb', line 15161

def start_export_labels_task_run(params = {}, options = {})
  req = build_request(:start_export_labels_task_run, params)
  req.send_request(options)
end

#start_import_labels_task_run(params = {}) ⇒ Types::StartImportLabelsTaskRunResponse

Enables you to provide additional labels (examples of truth) to be used to teach the machine learning transform and improve its quality. This API operation is generally used as part of the active learning workflow that starts with the ‘StartMLLabelingSetGenerationTaskRun` call and that ultimately results in improving the quality of your machine learning transform.

After the ‘StartMLLabelingSetGenerationTaskRun` finishes, Glue machine learning will have generated a series of questions for humans to answer. (Answering these questions is often called ’labeling’ in the machine learning workflows). In the case of the ‘FindMatches` transform, these questions are of the form, “What is the correct way to group these rows together into groups composed entirely of matching records?” After the labeling process is finished, users upload their answers/labels with a call to `StartImportLabelsTaskRun`. After `StartImportLabelsTaskRun` finishes, all future runs of the machine learning transform use the new and improved labels and perform a higher-quality transformation.

By default, ‘StartMLLabelingSetGenerationTaskRun` continually learns from and combines all labels that you upload unless you set `Replace` to true. If you set `Replace` to true, `StartImportLabelsTaskRun` deletes and forgets all previously uploaded labels and learns only from the exact set that you upload. Replacing labels can be helpful if you realize that you previously uploaded incorrect labels, and you believe that they are having a negative effect on your transform quality.

You can check on the status of your task run by calling the ‘GetMLTaskRun` operation.

Examples:

Request syntax with placeholder values

resp = client.start_import_labels_task_run({
  transform_id: "HashString", # required
  input_s3_path: "UriString", # required
  replace_all_labels: false,
})

Response structure

resp.task_run_id #=> String

Parameters:

• params (Hash) (defaults to: {}) —

  ({})

Options Hash (params):

• :transform_id (required, String) —

  The unique identifier of the machine learning transform.

• :input_s3_path (required, String) —

  The Amazon Simple Storage Service (Amazon S3) path from where you import the labels.

• :replace_all_labels (Boolean) —

  Indicates whether to overwrite your existing labels.

Returns:

• (Types::StartImportLabelsTaskRunResponse) —

  Returns a response object which responds to the following methods:

  • #task_run_id => String

See Also:

• AWS API Documentation

# File 'lib/aws-sdk-glue/client.rb', line 15227

def start_import_labels_task_run(params = {}, options = {})
  req = build_request(:start_import_labels_task_run, params)
  req.send_request(options)
end

#start_job_run(params = {}) ⇒ Types::StartJobRunResponse

Starts a job run using a job definition.

Examples:

Request syntax with placeholder values

resp = client.start_job_run({
  job_name: "NameString", # required
  job_run_id: "IdString",
  arguments: {
    "GenericString" => "GenericString",
  },
  allocated_capacity: 1,
  timeout: 1,
  max_capacity: 1.0,
  security_configuration: "NameString",
  notification_property: {
    notify_delay_after: 1,
  },
  worker_type: "Standard", # accepts Standard, G.1X, G.2X, G.025X, G.4X, G.8X, Z.2X
  number_of_workers: 1,
  execution_class: "FLEX", # accepts FLEX, STANDARD
})

Response structure

resp.job_run_id #=> String

Parameters:

• params (Hash) (defaults to: {}) —

  ({})

Options Hash (params):

• :job_name (required, String) —

  The name of the job definition to use.

• :job_run_id (String) —

  The ID of a previous ‘JobRun` to retry.

• :arguments (Hash<String,String>) —

  The job arguments associated with this run. For this job run, they replace the default arguments set in the job definition itself.

  You can specify arguments here that your own job-execution script consumes, as well as arguments that Glue itself consumes.

  Job arguments may be logged. Do not pass plaintext secrets as arguments. Retrieve secrets from a Glue Connection, Secrets Manager or other secret management mechanism if you intend to keep them within the Job.

  For information about how to specify and consume your own Job arguments, see the [Calling Glue APIs in Python] topic in the developer guide.

  For information about the arguments you can provide to this field when configuring Spark jobs, see the [Special Parameters Used by Glue] topic in the developer guide.

  For information about the arguments you can provide to this field when configuring Ray jobs, see [Using job parameters in Ray jobs] in the developer guide.

  [1]: docs.aws.amazon.com/glue/latest/dg/aws-glue-programming-python-calling.html [2]: docs.aws.amazon.com/glue/latest/dg/aws-glue-programming-etl-glue-arguments.html [3]: docs.aws.amazon.com/glue/latest/dg/author-job-ray-job-parameters.html

• :allocated_capacity (Integer) —

  This field is deprecated. Use ‘MaxCapacity` instead.

  The number of Glue data processing units (DPUs) to allocate to this JobRun. You can allocate a minimum of 2 DPUs; the default is 10. A DPU is a relative measure of processing power that consists of 4 vCPUs of compute capacity and 16 GB of memory. For more information, see the [Glue pricing page].

  [1]: aws.amazon.com/glue/pricing/

• :timeout (Integer) —

  The ‘JobRun` timeout in minutes. This is the maximum time that a job run can consume resources before it is terminated and enters `TIMEOUT` status. This value overrides the timeout value set in the parent job.

  Streaming jobs must have timeout values less than 7 days or 10080 minutes. When the value is left blank, the job will be restarted after 7 days based if you have not setup a maintenance window. If you have setup maintenance window, it will be restarted during the maintenance window after 7 days.

• :max_capacity (Float) —

  For Glue version 1.0 or earlier jobs, using the standard worker type, the number of Glue data processing units (DPUs) that can be allocated when this job runs. A DPU is a relative measure of processing power that consists of 4 vCPUs of compute capacity and 16 GB of memory. For more information, see the [ Glue pricing page].

  For Glue version 2.0+ jobs, you cannot specify a ‘Maximum capacity`. Instead, you should specify a `Worker type` and the `Number of workers`.

  Do not set ‘MaxCapacity` if using `WorkerType` and `NumberOfWorkers`.

  The value that can be allocated for ‘MaxCapacity` depends on whether you are running a Python shell job, an Apache Spark ETL job, or an Apache Spark streaming ETL job:

  • When you specify a Python shell job (‘JobCommand.Name`=“pythonshell”), you can allocate either 0.0625 or 1 DPU. The default is 0.0625 DPU.

  • When you specify an Apache Spark ETL job (‘JobCommand.Name`=“glueetl”) or Apache Spark streaming ETL job (`JobCommand.Name`=“gluestreaming”), you can allocate from 2 to 100 DPUs. The default is 10 DPUs. This job type cannot have a fractional DPU allocation.

  [1]: aws.amazon.com/glue/pricing/

• :security_configuration (String) —

  The name of the ‘SecurityConfiguration` structure to be used with this job run.

• :notification_property (Types::NotificationProperty) —

  Specifies configuration properties of a job run notification.

• :worker_type (String) —

  The type of predefined worker that is allocated when a job runs. Accepts a value of G.1X, G.2X, G.4X, G.8X or G.025X for Spark jobs. Accepts the value Z.2X for Ray jobs.

  • For the ‘G.1X` worker type, each worker maps to 1 DPU (4 vCPUs, 16 GB of memory) with 84GB disk (approximately 34GB free), and provides 1 executor per worker. We recommend this worker type for workloads such as data transforms, joins, and queries, to offers a scalable and cost effective way to run most jobs.

  • For the ‘G.2X` worker type, each worker maps to 2 DPU (8 vCPUs, 32 GB of memory) with 128GB disk (approximately 77GB free), and provides 1 executor per worker. We recommend this worker type for workloads such as data transforms, joins, and queries, to offers a scalable and cost effective way to run most jobs.

  • For the ‘G.4X` worker type, each worker maps to 4 DPU (16 vCPUs, 64 GB of memory) with 256GB disk (approximately 235GB free), and provides 1 executor per worker. We recommend this worker type for jobs whose workloads contain your most demanding transforms, aggregations, joins, and queries. This worker type is available only for Glue version 3.0 or later Spark ETL jobs in the following Amazon Web Services Regions: US East (Ohio), US East (N. Virginia), US West (Oregon), Asia Pacific (Singapore), Asia Pacific (Sydney), Asia Pacific (Tokyo), Canada (Central), Europe (Frankfurt), Europe (Ireland), and Europe (Stockholm).

  • For the ‘G.8X` worker type, each worker maps to 8 DPU (32 vCPUs, 128 GB of memory) with 512GB disk (approximately 487GB free), and provides 1 executor per worker. We recommend this worker type for jobs whose workloads contain your most demanding transforms, aggregations, joins, and queries. This worker type is available only for Glue version 3.0 or later Spark ETL jobs, in the same Amazon Web Services Regions as supported for the `G.4X` worker type.

  • For the ‘G.025X` worker type, each worker maps to 0.25 DPU (2 vCPUs, 4 GB of memory) with 84GB disk (approximately 34GB free), and provides 1 executor per worker. We recommend this worker type for low volume streaming jobs. This worker type is only available for Glue version 3.0 streaming jobs.

  • For the ‘Z.2X` worker type, each worker maps to 2 M-DPU (8vCPUs, 64 GB of memory) with 128 GB disk (approximately 120GB free), and provides up to 8 Ray workers based on the autoscaler.

• :number_of_workers (Integer) —

  The number of workers of a defined ‘workerType` that are allocated when a job runs.

• :execution_class (String) —

  Indicates whether the job is run with a standard or flexible execution class. The standard execution-class is ideal for time-sensitive workloads that require fast job startup and dedicated resources.

  The flexible execution class is appropriate for time-insensitive jobs whose start and completion times may vary.

  Only jobs with Glue version 3.0 and above and command type ‘glueetl` will be allowed to set `ExecutionClass` to `FLEX`. The flexible execution class is available for Spark jobs.

Returns:

• (Types::StartJobRunResponse) —

  Returns a response object which responds to the following methods:

  • #job_run_id => String

See Also:

• AWS API Documentation

# File 'lib/aws-sdk-glue/client.rb', line 15426

def start_job_run(params = {}, options = {})
  req = build_request(:start_job_run, params)
  req.send_request(options)
end

#start_ml_evaluation_task_run(params = {}) ⇒ Types::StartMLEvaluationTaskRunResponse

Starts a task to estimate the quality of the transform.

When you provide label sets as examples of truth, Glue machine learning uses some of those examples to learn from them. The rest of the labels are used as a test to estimate quality.

Returns a unique identifier for the run. You can call ‘GetMLTaskRun` to get more information about the stats of the `EvaluationTaskRun`.

Examples:

Request syntax with placeholder values

resp = client.start_ml_evaluation_task_run({
  transform_id: "HashString", # required
})

Response structure

resp.task_run_id #=> String

Parameters:

• params (Hash) (defaults to: {}) —

  ({})

Options Hash (params):

• :transform_id (required, String) —

  The unique identifier of the machine learning transform.

Returns:

• (Types::StartMLEvaluationTaskRunResponse) —

  Returns a response object which responds to the following methods:

  • #task_run_id => String

See Also:

• AWS API Documentation

# File 'lib/aws-sdk-glue/client.rb', line 15461

def start_ml_evaluation_task_run(params = {}, options = {})
  req = build_request(:start_ml_evaluation_task_run, params)
  req.send_request(options)
end

#start_ml_labeling_set_generation_task_run(params = {}) ⇒ Types::StartMLLabelingSetGenerationTaskRunResponse

Starts the active learning workflow for your machine learning transform to improve the transform’s quality by generating label sets and adding labels.

When the ‘StartMLLabelingSetGenerationTaskRun` finishes, Glue will have generated a “labeling set” or a set of questions for humans to answer.

In the case of the ‘FindMatches` transform, these questions are of the form, “What is the correct way to group these rows together into groups composed entirely of matching records?”

After the labeling process is finished, you can upload your labels with a call to ‘StartImportLabelsTaskRun`. After `StartImportLabelsTaskRun` finishes, all future runs of the machine learning transform will use the new and improved labels and perform a higher-quality transformation.

Examples:

Request syntax with placeholder values

resp = client.start_ml_labeling_set_generation_task_run({
  transform_id: "HashString", # required
  output_s3_path: "UriString", # required
})

Response structure

resp.task_run_id #=> String

Parameters:

• params (Hash) (defaults to: {}) —

  ({})

Options Hash (params):

• :transform_id (required, String) —

  The unique identifier of the machine learning transform.

• :output_s3_path (required, String) —

  The Amazon Simple Storage Service (Amazon S3) path where you generate the labeling set.

Returns:

• (Types::StartMLLabelingSetGenerationTaskRunResponse) —

  Returns a response object which responds to the following methods:

  • #task_run_id => String

See Also:

• AWS API Documentation

# File 'lib/aws-sdk-glue/client.rb', line 15510

def start_ml_labeling_set_generation_task_run(params = {}, options = {})
  req = build_request(:start_ml_labeling_set_generation_task_run, params)
  req.send_request(options)
end

#start_trigger(params = {}) ⇒ Types::StartTriggerResponse

Starts an existing trigger. See [Triggering Jobs] for information about how different types of trigger are started.

[1]: docs.aws.amazon.com/glue/latest/dg/trigger-job.html

Examples:

Request syntax with placeholder values

resp = client.start_trigger({
  name: "NameString", # required
})

Response structure

resp.name #=> String

Parameters:

• params (Hash) (defaults to: {}) —

  ({})

Options Hash (params):

• :name (required, String) —

  The name of the trigger to start.

Returns:

• (Types::StartTriggerResponse) —

  Returns a response object which responds to the following methods:

  • #name => String

See Also:

• AWS API Documentation

# File 'lib/aws-sdk-glue/client.rb', line 15543

def start_trigger(params = {}, options = {})
  req = build_request(:start_trigger, params)
  req.send_request(options)
end

#start_workflow_run(params = {}) ⇒ Types::StartWorkflowRunResponse

Starts a new run of the specified workflow.

Examples:

Request syntax with placeholder values

resp = client.start_workflow_run({
  name: "NameString", # required
  run_properties: {
    "IdString" => "GenericString",
  },
})

Response structure

resp.run_id #=> String

Parameters:

• params (Hash) (defaults to: {}) —

  ({})

Options Hash (params):

• :name (required, String) —

  The name of the workflow to start.

• :run_properties (Hash<String,String>) —

  The workflow run properties for the new workflow run.

Returns:

• (Types::StartWorkflowRunResponse) —

  Returns a response object which responds to the following methods:

  • #run_id => String

See Also:

• AWS API Documentation

# File 'lib/aws-sdk-glue/client.rb', line 15577

def start_workflow_run(params = {}, options = {})
  req = build_request(:start_workflow_run, params)
  req.send_request(options)
end

#stop_column_statistics_task_run(params = {}) ⇒ Struct

Stops a task run for the specified table.

Examples:

Request syntax with placeholder values

resp = client.stop_column_statistics_task_run({
  database_name: "DatabaseName", # required
  table_name: "NameString", # required
})

Parameters:

• params (Hash) (defaults to: {}) —

  ({})

Options Hash (params):

• :database_name (required, String) —

  The name of the database where the table resides.

• :table_name (required, String) —

  The name of the table.

Returns:

• (Struct) —

  Returns an empty response.

See Also:

• AWS API Documentation

# File 'lib/aws-sdk-glue/client.rb', line 15603

def stop_column_statistics_task_run(params = {}, options = {})
  req = build_request(:stop_column_statistics_task_run, params)
  req.send_request(options)
end

#stop_crawler(params = {}) ⇒ Struct

If the specified crawler is running, stops the crawl.

Examples:

Request syntax with placeholder values

resp = client.stop_crawler({
  name: "NameString", # required
})

Parameters:

• params (Hash) (defaults to: {}) —

  ({})

Options Hash (params):

• :name (required, String) —

  Name of the crawler to stop.

Returns:

• (Struct) —

  Returns an empty response.

See Also:

• AWS API Documentation

# File 'lib/aws-sdk-glue/client.rb', line 15625

def stop_crawler(params = {}, options = {})
  req = build_request(:stop_crawler, params)
  req.send_request(options)
end

#stop_crawler_schedule(params = {}) ⇒ Struct

Sets the schedule state of the specified crawler to ‘NOT_SCHEDULED`, but does not stop the crawler if it is already running.

Examples:

Request syntax with placeholder values

resp = client.stop_crawler_schedule({
  crawler_name: "NameString", # required
})

Parameters:

• params (Hash) (defaults to: {}) —

  ({})

Options Hash (params):

• :crawler_name (required, String) —

  Name of the crawler whose schedule state to set.

Returns:

• (Struct) —

  Returns an empty response.

See Also:

• AWS API Documentation

# File 'lib/aws-sdk-glue/client.rb', line 15648

def stop_crawler_schedule(params = {}, options = {})
  req = build_request(:stop_crawler_schedule, params)
  req.send_request(options)
end

#stop_session(params = {}) ⇒ Types::StopSessionResponse

Stops the session.

Examples:

Request syntax with placeholder values

resp = client.stop_session({
  id: "NameString", # required
  request_origin: "OrchestrationNameString",
})

Response structure

resp.id #=> String

Parameters:

• params (Hash) (defaults to: {}) —

  ({})

Options Hash (params):

• :id (required, String) —

  The ID of the session to be stopped.

• :request_origin (String) —

  The origin of the request.

Returns:

• (Types::StopSessionResponse) —

  Returns a response object which responds to the following methods:

  • #id => String

See Also:

• AWS API Documentation

# File 'lib/aws-sdk-glue/client.rb', line 15680

def stop_session(params = {}, options = {})
  req = build_request(:stop_session, params)
  req.send_request(options)
end

#stop_trigger(params = {}) ⇒ Types::StopTriggerResponse

Stops a specified trigger.

Examples:

Request syntax with placeholder values

resp = client.stop_trigger({
  name: "NameString", # required
})

Response structure

resp.name #=> String

Parameters:

• params (Hash) (defaults to: {}) —

  ({})

Options Hash (params):

• :name (required, String) —

  The name of the trigger to stop.

Returns:

• (Types::StopTriggerResponse) —

  Returns a response object which responds to the following methods:

  • #name => String

See Also:

• AWS API Documentation

# File 'lib/aws-sdk-glue/client.rb', line 15708

def stop_trigger(params = {}, options = {})
  req = build_request(:stop_trigger, params)
  req.send_request(options)
end

#stop_workflow_run(params = {}) ⇒ Struct

Stops the execution of the specified workflow run.

Examples:

Request syntax with placeholder values

resp = client.stop_workflow_run({
  name: "NameString", # required
  run_id: "IdString", # required
})

Parameters:

• params (Hash) (defaults to: {}) —

  ({})

Options Hash (params):

• :name (required, String) —

  The name of the workflow to stop.

• :run_id (required, String) —

  The ID of the workflow run to stop.

Returns:

• (Struct) —

  Returns an empty response.

See Also:

• AWS API Documentation

# File 'lib/aws-sdk-glue/client.rb', line 15734

def stop_workflow_run(params = {}, options = {})
  req = build_request(:stop_workflow_run, params)
  req.send_request(options)
end

#tag_resource(params = {}) ⇒ Struct

Adds tags to a resource. A tag is a label you can assign to an Amazon Web Services resource. In Glue, you can tag only certain resources. For information about what resources you can tag, see [Amazon Web Services Tags in Glue].

[1]: docs.aws.amazon.com/glue/latest/dg/monitor-tags.html

Examples:

Request syntax with placeholder values

resp = client.tag_resource({
  resource_arn: "GlueResourceArn", # required
  tags_to_add: { # required
    "TagKey" => "TagValue",
  },
})

Parameters:

• params (Hash) (defaults to: {}) —

  ({})

Options Hash (params):

• :resource_arn (required, String) —

  The ARN of the Glue resource to which to add the tags. For more information about Glue resource ARNs, see the [Glue ARN string pattern].

  [1]: docs.aws.amazon.com/glue/latest/dg/aws-glue-api-common.html#aws-glue-api-regex-aws-glue-arn-id

• :tags_to_add (required, Hash<String,String>) —

  Tags to add to this resource.

Returns:

• (Struct) —

  Returns an empty response.

See Also:

• AWS API Documentation

# File 'lib/aws-sdk-glue/client.rb', line 15775

def tag_resource(params = {}, options = {})
  req = build_request(:tag_resource, params)
  req.send_request(options)
end

#untag_resource(params = {}) ⇒ Struct

Removes tags from a resource.

Examples:

Request syntax with placeholder values

resp = client.untag_resource({
  resource_arn: "GlueResourceArn", # required
  tags_to_remove: ["TagKey"], # required
})

Parameters:

• params (Hash) (defaults to: {}) —

  ({})

Options Hash (params):

• :resource_arn (required, String) —

  The Amazon Resource Name (ARN) of the resource from which to remove the tags.

• :tags_to_remove (required, Array<String>) —

  Tags to remove from this resource.

Returns:

• (Struct) —

  Returns an empty response.

See Also:

• AWS API Documentation

# File 'lib/aws-sdk-glue/client.rb', line 15802

def untag_resource(params = {}, options = {})
  req = build_request(:untag_resource, params)
  req.send_request(options)
end

#update_blueprint(params = {}) ⇒ Types::UpdateBlueprintResponse

Updates a registered blueprint.

Examples:

Request syntax with placeholder values

resp = client.update_blueprint({
  name: "OrchestrationNameString", # required
  description: "Generic512CharString",
  blueprint_location: "OrchestrationS3Location", # required
})

Response structure

resp.name #=> String

Parameters:

• params (Hash) (defaults to: {}) —

  ({})

Options Hash (params):

• :name (required, String) —

  The name of the blueprint.

• :description (String) —

  A description of the blueprint.

• :blueprint_location (required, String) —

  Specifies a path in Amazon S3 where the blueprint is published.

Returns:

• (Types::UpdateBlueprintResponse) —

  Returns a response object which responds to the following methods:

  • #name => String

See Also:

• AWS API Documentation

# File 'lib/aws-sdk-glue/client.rb', line 15838

def update_blueprint(params = {}, options = {})
  req = build_request(:update_blueprint, params)
  req.send_request(options)
end

#update_classifier(params = {}) ⇒ Struct

Modifies an existing classifier (a ‘GrokClassifier`, an `XMLClassifier`, a `JsonClassifier`, or a `CsvClassifier`, depending on which field is present).

Examples:

Request syntax with placeholder values

resp = client.update_classifier({
  grok_classifier: {
    name: "NameString", # required
    classification: "Classification",
    grok_pattern: "GrokPattern",
    custom_patterns: "CustomPatterns",
  },
  xml_classifier: {
    name: "NameString", # required
    classification: "Classification",
    row_tag: "RowTag",
  },
  json_classifier: {
    name: "NameString", # required
    json_path: "JsonPath",
  },
  csv_classifier: {
    name: "NameString", # required
    delimiter: "CsvColumnDelimiter",
    quote_symbol: "CsvQuoteSymbol",
    contains_header: "UNKNOWN", # accepts UNKNOWN, PRESENT, ABSENT
    header: ["NameString"],
    disable_value_trimming: false,
    allow_single_column: false,
    custom_datatype_configured: false,
    custom_datatypes: ["NameString"],
    serde: "OpenCSVSerDe", # accepts OpenCSVSerDe, LazySimpleSerDe, None
  },
})

Parameters:

• params (Hash) (defaults to: {}) —

  ({})

Options Hash (params):

• :grok_classifier (Types::UpdateGrokClassifierRequest) —

  A ‘GrokClassifier` object with updated fields.

• :xml_classifier (Types::UpdateXMLClassifierRequest) —

  An ‘XMLClassifier` object with updated fields.

• :json_classifier (Types::UpdateJsonClassifierRequest) —

  A ‘JsonClassifier` object with updated fields.

• :csv_classifier (Types::UpdateCsvClassifierRequest) —

  A ‘CsvClassifier` object with updated fields.

Returns:

• (Struct) —

  Returns an empty response.

See Also:

• AWS API Documentation

# File 'lib/aws-sdk-glue/client.rb', line 15897

def update_classifier(params = {}, options = {})
  req = build_request(:update_classifier, params)
  req.send_request(options)
end

#update_column_statistics_for_partition(params = {}) ⇒ Types::UpdateColumnStatisticsForPartitionResponse

Creates or updates partition statistics of columns.

The Identity and Access Management (IAM) permission required for this operation is ‘UpdatePartition`.

Examples:

Request syntax with placeholder values

resp = client.update_column_statistics_for_partition({
  catalog_id: "CatalogIdString",
  database_name: "NameString", # required
  table_name: "NameString", # required
  partition_values: ["ValueString"], # required
  column_statistics_list: [ # required
    {
      column_name: "NameString", # required
      column_type: "TypeString", # required
      analyzed_time: Time.now, # required
      statistics_data: { # required
        type: "BOOLEAN", # required, accepts BOOLEAN, DATE, DECIMAL, DOUBLE, LONG, STRING, BINARY
        boolean_column_statistics_data: {
          number_of_trues: 1, # required
          number_of_falses: 1, # required
          number_of_nulls: 1, # required
        },
        date_column_statistics_data: {
          minimum_value: Time.now,
          maximum_value: Time.now,
          number_of_nulls: 1, # required
          number_of_distinct_values: 1, # required
        },
        decimal_column_statistics_data: {
          minimum_value: {
            unscaled_value: "data", # required
            scale: 1, # required
          },
          maximum_value: {
            unscaled_value: "data", # required
            scale: 1, # required
          },
          number_of_nulls: 1, # required
          number_of_distinct_values: 1, # required
        },
        double_column_statistics_data: {
          minimum_value: 1.0,
          maximum_value: 1.0,
          number_of_nulls: 1, # required
          number_of_distinct_values: 1, # required
        },
        long_column_statistics_data: {
          minimum_value: 1,
          maximum_value: 1,
          number_of_nulls: 1, # required
          number_of_distinct_values: 1, # required
        },
        string_column_statistics_data: {
          maximum_length: 1, # required
          average_length: 1.0, # required
          number_of_nulls: 1, # required
          number_of_distinct_values: 1, # required
        },
        binary_column_statistics_data: {
          maximum_length: 1, # required
          average_length: 1.0, # required
          number_of_nulls: 1, # required
        },
      },
    },
  ],
})

Response structure

resp.errors #=> Array
resp.errors[0].column_statistics.column_name #=> String
resp.errors[0].column_statistics.column_type #=> String
resp.errors[0].column_statistics.analyzed_time #=> Time
resp.errors[0].column_statistics.statistics_data.type #=> String, one of "BOOLEAN", "DATE", "DECIMAL", "DOUBLE", "LONG", "STRING", "BINARY"
resp.errors[0].column_statistics.statistics_data.boolean_column_statistics_data.number_of_trues #=> Integer
resp.errors[0].column_statistics.statistics_data.boolean_column_statistics_data.number_of_falses #=> Integer
resp.errors[0].column_statistics.statistics_data.boolean_column_statistics_data.number_of_nulls #=> Integer
resp.errors[0].column_statistics.statistics_data.date_column_statistics_data.minimum_value #=> Time
resp.errors[0].column_statistics.statistics_data.date_column_statistics_data.maximum_value #=> Time
resp.errors[0].column_statistics.statistics_data.date_column_statistics_data.number_of_nulls #=> Integer
resp.errors[0].column_statistics.statistics_data.date_column_statistics_data.number_of_distinct_values #=> Integer
resp.errors[0].column_statistics.statistics_data.decimal_column_statistics_data.minimum_value.unscaled_value #=> String
resp.errors[0].column_statistics.statistics_data.decimal_column_statistics_data.minimum_value.scale #=> Integer
resp.errors[0].column_statistics.statistics_data.decimal_column_statistics_data.maximum_value.unscaled_value #=> String
resp.errors[0].column_statistics.statistics_data.decimal_column_statistics_data.maximum_value.scale #=> Integer
resp.errors[0].column_statistics.statistics_data.decimal_column_statistics_data.number_of_nulls #=> Integer
resp.errors[0].column_statistics.statistics_data.decimal_column_statistics_data.number_of_distinct_values #=> Integer
resp.errors[0].column_statistics.statistics_data.double_column_statistics_data.minimum_value #=> Float
resp.errors[0].column_statistics.statistics_data.double_column_statistics_data.maximum_value #=> Float
resp.errors[0].column_statistics.statistics_data.double_column_statistics_data.number_of_nulls #=> Integer
resp.errors[0].column_statistics.statistics_data.double_column_statistics_data.number_of_distinct_values #=> Integer
resp.errors[0].column_statistics.statistics_data.long_column_statistics_data.minimum_value #=> Integer
resp.errors[0].column_statistics.statistics_data.long_column_statistics_data.maximum_value #=> Integer
resp.errors[0].column_statistics.statistics_data.long_column_statistics_data.number_of_nulls #=> Integer
resp.errors[0].column_statistics.statistics_data.long_column_statistics_data.number_of_distinct_values #=> Integer
resp.errors[0].column_statistics.statistics_data.string_column_statistics_data.maximum_length #=> Integer
resp.errors[0].column_statistics.statistics_data.string_column_statistics_data.average_length #=> Float
resp.errors[0].column_statistics.statistics_data.string_column_statistics_data.number_of_nulls #=> Integer
resp.errors[0].column_statistics.statistics_data.string_column_statistics_data.number_of_distinct_values #=> Integer
resp.errors[0].column_statistics.statistics_data.binary_column_statistics_data.maximum_length #=> Integer
resp.errors[0].column_statistics.statistics_data.binary_column_statistics_data.average_length #=> Float
resp.errors[0].column_statistics.statistics_data.binary_column_statistics_data.number_of_nulls #=> Integer
resp.errors[0].error.error_code #=> String
resp.errors[0].error.error_message #=> String

Parameters:

• params (Hash) (defaults to: {}) —

  ({})

Options Hash (params):

• :catalog_id (String) —

  The ID of the Data Catalog where the partitions in question reside. If none is supplied, the Amazon Web Services account ID is used by default.

• :database_name (required, String) —

  The name of the catalog database where the partitions reside.

• :table_name (required, String) —

  The name of the partitions’ table.

• :partition_values (required, Array<String>) —

  A list of partition values identifying the partition.

• :column_statistics_list (required, Array<Types::ColumnStatistics>) —

  A list of the column statistics.

Returns:

• (Types::UpdateColumnStatisticsForPartitionResponse) —

  Returns a response object which responds to the following methods:

  • #errors => Array&lt;Types::ColumnStatisticsError&gt;

See Also:

• AWS API Documentation

# File 'lib/aws-sdk-glue/client.rb', line 16035

def update_column_statistics_for_partition(params = {}, options = {})
  req = build_request(:update_column_statistics_for_partition, params)
  req.send_request(options)
end

#update_column_statistics_for_table(params = {}) ⇒ Types::UpdateColumnStatisticsForTableResponse

Creates or updates table statistics of columns.

The Identity and Access Management (IAM) permission required for this operation is ‘UpdateTable`.

Examples:

Request syntax with placeholder values

resp = client.update_column_statistics_for_table({
  catalog_id: "CatalogIdString",
  database_name: "NameString", # required
  table_name: "NameString", # required
  column_statistics_list: [ # required
    {
      column_name: "NameString", # required
      column_type: "TypeString", # required
      analyzed_time: Time.now, # required
      statistics_data: { # required
        type: "BOOLEAN", # required, accepts BOOLEAN, DATE, DECIMAL, DOUBLE, LONG, STRING, BINARY
        boolean_column_statistics_data: {
          number_of_trues: 1, # required
          number_of_falses: 1, # required
          number_of_nulls: 1, # required
        },
        date_column_statistics_data: {
          minimum_value: Time.now,
          maximum_value: Time.now,
          number_of_nulls: 1, # required
          number_of_distinct_values: 1, # required
        },
        decimal_column_statistics_data: {
          minimum_value: {
            unscaled_value: "data", # required
            scale: 1, # required
          },
          maximum_value: {
            unscaled_value: "data", # required
            scale: 1, # required
          },
          number_of_nulls: 1, # required
          number_of_distinct_values: 1, # required
        },
        double_column_statistics_data: {
          minimum_value: 1.0,
          maximum_value: 1.0,
          number_of_nulls: 1, # required
          number_of_distinct_values: 1, # required
        },
        long_column_statistics_data: {
          minimum_value: 1,
          maximum_value: 1,
          number_of_nulls: 1, # required
          number_of_distinct_values: 1, # required
        },
        string_column_statistics_data: {
          maximum_length: 1, # required
          average_length: 1.0, # required
          number_of_nulls: 1, # required
          number_of_distinct_values: 1, # required
        },
        binary_column_statistics_data: {
          maximum_length: 1, # required
          average_length: 1.0, # required
          number_of_nulls: 1, # required
        },
      },
    },
  ],
})

Response structure

resp.errors #=> Array
resp.errors[0].column_statistics.column_name #=> String
resp.errors[0].column_statistics.column_type #=> String
resp.errors[0].column_statistics.analyzed_time #=> Time
resp.errors[0].column_statistics.statistics_data.type #=> String, one of "BOOLEAN", "DATE", "DECIMAL", "DOUBLE", "LONG", "STRING", "BINARY"
resp.errors[0].column_statistics.statistics_data.boolean_column_statistics_data.number_of_trues #=> Integer
resp.errors[0].column_statistics.statistics_data.boolean_column_statistics_data.number_of_falses #=> Integer
resp.errors[0].column_statistics.statistics_data.boolean_column_statistics_data.number_of_nulls #=> Integer
resp.errors[0].column_statistics.statistics_data.date_column_statistics_data.minimum_value #=> Time
resp.errors[0].column_statistics.statistics_data.date_column_statistics_data.maximum_value #=> Time
resp.errors[0].column_statistics.statistics_data.date_column_statistics_data.number_of_nulls #=> Integer
resp.errors[0].column_statistics.statistics_data.date_column_statistics_data.number_of_distinct_values #=> Integer
resp.errors[0].column_statistics.statistics_data.decimal_column_statistics_data.minimum_value.unscaled_value #=> String
resp.errors[0].column_statistics.statistics_data.decimal_column_statistics_data.minimum_value.scale #=> Integer
resp.errors[0].column_statistics.statistics_data.decimal_column_statistics_data.maximum_value.unscaled_value #=> String
resp.errors[0].column_statistics.statistics_data.decimal_column_statistics_data.maximum_value.scale #=> Integer
resp.errors[0].column_statistics.statistics_data.decimal_column_statistics_data.number_of_nulls #=> Integer
resp.errors[0].column_statistics.statistics_data.decimal_column_statistics_data.number_of_distinct_values #=> Integer
resp.errors[0].column_statistics.statistics_data.double_column_statistics_data.minimum_value #=> Float
resp.errors[0].column_statistics.statistics_data.double_column_statistics_data.maximum_value #=> Float
resp.errors[0].column_statistics.statistics_data.double_column_statistics_data.number_of_nulls #=> Integer
resp.errors[0].column_statistics.statistics_data.double_column_statistics_data.number_of_distinct_values #=> Integer
resp.errors[0].column_statistics.statistics_data.long_column_statistics_data.minimum_value #=> Integer
resp.errors[0].column_statistics.statistics_data.long_column_statistics_data.maximum_value #=> Integer
resp.errors[0].column_statistics.statistics_data.long_column_statistics_data.number_of_nulls #=> Integer
resp.errors[0].column_statistics.statistics_data.long_column_statistics_data.number_of_distinct_values #=> Integer
resp.errors[0].column_statistics.statistics_data.string_column_statistics_data.maximum_length #=> Integer
resp.errors[0].column_statistics.statistics_data.string_column_statistics_data.average_length #=> Float
resp.errors[0].column_statistics.statistics_data.string_column_statistics_data.number_of_nulls #=> Integer
resp.errors[0].column_statistics.statistics_data.string_column_statistics_data.number_of_distinct_values #=> Integer
resp.errors[0].column_statistics.statistics_data.binary_column_statistics_data.maximum_length #=> Integer
resp.errors[0].column_statistics.statistics_data.binary_column_statistics_data.average_length #=> Float
resp.errors[0].column_statistics.statistics_data.binary_column_statistics_data.number_of_nulls #=> Integer
resp.errors[0].error.error_code #=> String
resp.errors[0].error.error_message #=> String

Parameters:

• params (Hash) (defaults to: {}) —

  ({})

Options Hash (params):

• :catalog_id (String) —

  The ID of the Data Catalog where the partitions in question reside. If none is supplied, the Amazon Web Services account ID is used by default.

• :database_name (required, String) —

  The name of the catalog database where the partitions reside.

• :table_name (required, String) —

  The name of the partitions’ table.

• :column_statistics_list (required, Array<Types::ColumnStatistics>) —

  A list of the column statistics.

Returns:

• (Types::UpdateColumnStatisticsForTableResponse) —

  Returns a response object which responds to the following methods:

  • #errors => Array&lt;Types::ColumnStatisticsError&gt;

See Also:

• AWS API Documentation

# File 'lib/aws-sdk-glue/client.rb', line 16169

def update_column_statistics_for_table(params = {}, options = {})
  req = build_request(:update_column_statistics_for_table, params)
  req.send_request(options)
end

#update_connection(params = {}) ⇒ Struct

Updates a connection definition in the Data Catalog.

Examples:

Request syntax with placeholder values

resp = client.update_connection({
  catalog_id: "CatalogIdString",
  name: "NameString", # required
  connection_input: { # required
    name: "NameString", # required
    description: "DescriptionString",
    connection_type: "JDBC", # required, accepts JDBC, SFTP, MONGODB, KAFKA, NETWORK, MARKETPLACE, CUSTOM, SALESFORCE
    match_criteria: ["NameString"],
    connection_properties: { # required
      "HOST" => "ValueString",
    },
    physical_connection_requirements: {
      subnet_id: "NameString",
      security_group_id_list: ["NameString"],
      availability_zone: "NameString",
    },
    authentication_configuration: {
      authentication_type: "BASIC", # accepts BASIC, OAUTH2, CUSTOM
      secret_arn: "SecretArn",
      o_auth_2_properties: {
        o_auth_2_grant_type: "AUTHORIZATION_CODE", # accepts AUTHORIZATION_CODE, CLIENT_CREDENTIALS, JWT_BEARER
        o_auth_2_client_application: {
          user_managed_client_application_client_id: "UserManagedClientApplicationClientId",
          aws_managed_client_application_reference: "AWSManagedClientApplicationReference",
        },
        token_url: "TokenUrl",
        token_url_parameters_map: {
          "TokenUrlParameterKey" => "TokenUrlParameterValue",
        },
        authorization_code_properties: {
          authorization_code: "AuthorizationCode",
          redirect_uri: "RedirectUri",
        },
      },
    },
    validate_credentials: false,
  },
})

Parameters:

• params (Hash) (defaults to: {}) —

  ({})

Options Hash (params):

• :catalog_id (String) —

  The ID of the Data Catalog in which the connection resides. If none is provided, the Amazon Web Services account ID is used by default.

• :name (required, String) —

  The name of the connection definition to update.

• :connection_input (required, Types::ConnectionInput) —

  A ‘ConnectionInput` object that redefines the connection in question.

Returns:

• (Struct) —

  Returns an empty response.

See Also:

• AWS API Documentation

# File 'lib/aws-sdk-glue/client.rb', line 16233

def update_connection(params = {}, options = {})
  req = build_request(:update_connection, params)
  req.send_request(options)
end

#update_crawler(params = {}) ⇒ Struct

Updates a crawler. If a crawler is running, you must stop it using ‘StopCrawler` before updating it.

Examples:

Request syntax with placeholder values

resp = client.update_crawler({
  name: "NameString", # required
  role: "Role",
  database_name: "DatabaseName",
  description: "DescriptionStringRemovable",
  targets: {
    s3_targets: [
      {
        path: "Path",
        exclusions: ["Path"],
        connection_name: "ConnectionName",
        sample_size: 1,
        event_queue_arn: "EventQueueArn",
        dlq_event_queue_arn: "EventQueueArn",
      },
    ],
    jdbc_targets: [
      {
        connection_name: "ConnectionName",
        path: "Path",
        exclusions: ["Path"],
        enable_additional_metadata: ["COMMENTS"], # accepts COMMENTS, RAWTYPES
      },
    ],
    mongo_db_targets: [
      {
        connection_name: "ConnectionName",
        path: "Path",
        scan_all: false,
      },
    ],
    dynamo_db_targets: [
      {
        path: "Path",
        scan_all: false,
        scan_rate: 1.0,
      },
    ],
    catalog_targets: [
      {
        database_name: "NameString", # required
        tables: ["NameString"], # required
        connection_name: "ConnectionName",
        event_queue_arn: "EventQueueArn",
        dlq_event_queue_arn: "EventQueueArn",
      },
    ],
    delta_targets: [
      {
        delta_tables: ["Path"],
        connection_name: "ConnectionName",
        write_manifest: false,
        create_native_delta_table: false,
      },
    ],
    iceberg_targets: [
      {
        paths: ["Path"],
        connection_name: "ConnectionName",
        exclusions: ["Path"],
        maximum_traversal_depth: 1,
      },
    ],
    hudi_targets: [
      {
        paths: ["Path"],
        connection_name: "ConnectionName",
        exclusions: ["Path"],
        maximum_traversal_depth: 1,
      },
    ],
  },
  schedule: "CronExpression",
  classifiers: ["NameString"],
  table_prefix: "TablePrefix",
  schema_change_policy: {
    update_behavior: "LOG", # accepts LOG, UPDATE_IN_DATABASE
    delete_behavior: "LOG", # accepts LOG, DELETE_FROM_DATABASE, DEPRECATE_IN_DATABASE
  },
  recrawl_policy: {
    recrawl_behavior: "CRAWL_EVERYTHING", # accepts CRAWL_EVERYTHING, CRAWL_NEW_FOLDERS_ONLY, CRAWL_EVENT_MODE
  },
  lineage_configuration: {
    crawler_lineage_settings: "ENABLE", # accepts ENABLE, DISABLE
  },
  lake_formation_configuration: {
    use_lake_formation_credentials: false,
    account_id: "AccountId",
  },
  configuration: "CrawlerConfiguration",
  crawler_security_configuration: "CrawlerSecurityConfiguration",
})

Parameters:

• params (Hash) (defaults to: {}) —

  ({})

Options Hash (params):

• :name (required, String) —

  Name of the new crawler.

• :role (String) —

  The IAM role or Amazon Resource Name (ARN) of an IAM role that is used by the new crawler to access customer resources.

• :database_name (String) —

  The Glue database where results are stored, such as: ‘arn:aws:daylight:us-east-1::database/sometable/*`.

• :description (String) —

  A description of the new crawler.

• :targets (Types::CrawlerTargets) —

  A list of targets to crawl.

• :schedule (String) —

  A ‘cron` expression used to specify the schedule (see [Time-Based Schedules for Jobs and Crawlers]. For example, to run something every day at 12:15 UTC, you would specify: `cron(15 12 * * ? *)`.

  [1]: docs.aws.amazon.com/glue/latest/dg/monitor-data-warehouse-schedule.html

• :classifiers (Array<String>) —

  A list of custom classifiers that the user has registered. By default, all built-in classifiers are included in a crawl, but these custom classifiers always override the default classifiers for a given classification.

• :table_prefix (String) —

  The table prefix used for catalog tables that are created.

• :schema_change_policy (Types::SchemaChangePolicy) —

  The policy for the crawler’s update and deletion behavior.

• :recrawl_policy (Types::RecrawlPolicy) —

  A policy that specifies whether to crawl the entire dataset again, or to crawl only folders that were added since the last crawler run.

• :lineage_configuration (Types::LineageConfiguration) —

  Specifies data lineage configuration settings for the crawler.

• :lake_formation_configuration (Types::LakeFormationConfiguration) —

  Specifies Lake Formation configuration settings for the crawler.

• :configuration (String) —

  Crawler configuration information. This versioned JSON string allows users to specify aspects of a crawler’s behavior. For more information, see [Setting crawler configuration options].

  [1]: docs.aws.amazon.com/glue/latest/dg/crawler-configuration.html

• :crawler_security_configuration (String) —

  The name of the ‘SecurityConfiguration` structure to be used by this crawler.

Returns:

• (Struct) —

  Returns an empty response.

See Also:

• AWS API Documentation

# File 'lib/aws-sdk-glue/client.rb', line 16403

def update_crawler(params = {}, options = {})
  req = build_request(:update_crawler, params)
  req.send_request(options)
end

#update_crawler_schedule(params = {}) ⇒ Struct

Updates the schedule of a crawler using a ‘cron` expression.

Examples:

Request syntax with placeholder values

resp = client.update_crawler_schedule({
  crawler_name: "NameString", # required
  schedule: "CronExpression",
})

Parameters:

• params (Hash) (defaults to: {}) —

  ({})

Options Hash (params):

• :crawler_name (required, String) —

  The name of the crawler whose schedule to update.

• :schedule (String) —

  The updated ‘cron` expression used to specify the schedule (see [Time-Based Schedules for Jobs and Crawlers]. For example, to run something every day at 12:15 UTC, you would specify: `cron(15 12 * * ? *)`.

  [1]: docs.aws.amazon.com/glue/latest/dg/monitor-data-warehouse-schedule.html

Returns:

• (Struct) —

  Returns an empty response.

See Also:

• AWS API Documentation

# File 'lib/aws-sdk-glue/client.rb', line 16436

def update_crawler_schedule(params = {}, options = {})
  req = build_request(:update_crawler_schedule, params)
  req.send_request(options)
end

#update_data_quality_ruleset(params = {}) ⇒ Types::UpdateDataQualityRulesetResponse

Updates the specified data quality ruleset.

Examples:

Request syntax with placeholder values

resp = client.update_data_quality_ruleset({
  name: "NameString", # required
  description: "DescriptionString",
  ruleset: "DataQualityRulesetString",
})

Response structure

resp.name #=> String
resp.description #=> String
resp.ruleset #=> String

Parameters:

• params (Hash) (defaults to: {}) —

  ({})

Options Hash (params):

• :name (required, String) —

  The name of the data quality ruleset.

• :description (String) —

  A description of the ruleset.

• :ruleset (String) —

  A Data Quality Definition Language (DQDL) ruleset. For more information, see the Glue developer guide.

Returns:

• (Types::UpdateDataQualityRulesetResponse) —

  Returns a response object which responds to the following methods:

  • #name => String

  • #description => String

  • #ruleset => String

See Also:

• AWS API Documentation

# File 'lib/aws-sdk-glue/client.rb', line 16477

def update_data_quality_ruleset(params = {}, options = {})
  req = build_request(:update_data_quality_ruleset, params)
  req.send_request(options)
end

#update_database(params = {}) ⇒ Struct

Updates an existing database definition in a Data Catalog.

Examples:

Request syntax with placeholder values

resp = client.update_database({
  catalog_id: "CatalogIdString",
  name: "NameString", # required
  database_input: { # required
    name: "NameString", # required
    description: "DescriptionString",
    location_uri: "URI",
    parameters: {
      "KeyString" => "ParametersMapValue",
    },
    create_table_default_permissions: [
      {
        principal: {
          data_lake_principal_identifier: "DataLakePrincipalString",
        },
        permissions: ["ALL"], # accepts ALL, SELECT, ALTER, DROP, DELETE, INSERT, CREATE_DATABASE, CREATE_TABLE, DATA_LOCATION_ACCESS
      },
    ],
    target_database: {
      catalog_id: "CatalogIdString",
      database_name: "NameString",
      region: "NameString",
    },
    federated_database: {
      identifier: "FederationIdentifier",
      connection_name: "NameString",
    },
  },
})

Parameters:

• params (Hash) (defaults to: {}) —

  ({})

Options Hash (params):

• :catalog_id (String) —

  The ID of the Data Catalog in which the metadata database resides. If none is provided, the Amazon Web Services account ID is used by default.

• :name (required, String) —

  The name of the database to update in the catalog. For Hive compatibility, this is folded to lowercase.

• :database_input (required, Types::DatabaseInput) —

  A ‘DatabaseInput` object specifying the new definition of the metadata database in the catalog.

Returns:

• (Struct) —

  Returns an empty response.

See Also:

• AWS API Documentation

# File 'lib/aws-sdk-glue/client.rb', line 16535

def update_database(params = {}, options = {})
  req = build_request(:update_database, params)
  req.send_request(options)
end

#update_dev_endpoint(params = {}) ⇒ Struct

Updates a specified development endpoint.

Examples:

Request syntax with placeholder values

resp = client.update_dev_endpoint({
  endpoint_name: "GenericString", # required
  public_key: "GenericString",
  add_public_keys: ["GenericString"],
  delete_public_keys: ["GenericString"],
  custom_libraries: {
    extra_python_libs_s3_path: "GenericString",
    extra_jars_s3_path: "GenericString",
  },
  update_etl_libraries: false,
  delete_arguments: ["GenericString"],
  add_arguments: {
    "GenericString" => "GenericString",
  },
})

Parameters:

• params (Hash) (defaults to: {}) —

  ({})

Options Hash (params):

• :endpoint_name (required, String) —

  The name of the ‘DevEndpoint` to be updated.

• :public_key (String) —

  The public key for the ‘DevEndpoint` to use.

• :add_public_keys (Array<String>) —

  The list of public keys for the ‘DevEndpoint` to use.

• :delete_public_keys (Array<String>) —

  The list of public keys to be deleted from the ‘DevEndpoint`.

• :custom_libraries (Types::DevEndpointCustomLibraries) —

  Custom Python or Java libraries to be loaded in the ‘DevEndpoint`.

• :update_etl_libraries (Boolean) —

  ‘True` if the list of custom libraries to be loaded in the development endpoint needs to be updated, or `False` if otherwise.

• :delete_arguments (Array<String>) —

  The list of argument keys to be deleted from the map of arguments used to configure the ‘DevEndpoint`.

• :add_arguments (Hash<String,String>) —

  The map of arguments to add the map of arguments used to configure the ‘DevEndpoint`.

  Valid arguments are:

  • ‘“–enable-glue-datacatalog”: “”`

  ^

  You can specify a version of Python support for development endpoints by using the ‘Arguments` parameter in the `CreateDevEndpoint` or `UpdateDevEndpoint` APIs. If no arguments are provided, the version defaults to Python 2.

Returns:

• (Struct) —

  Returns an empty response.

See Also:

• AWS API Documentation

# File 'lib/aws-sdk-glue/client.rb', line 16604

def update_dev_endpoint(params = {}, options = {})
  req = build_request(:update_dev_endpoint, params)
  req.send_request(options)
end

#update_job(params = {}) ⇒ Types::UpdateJobResponse

Updates an existing job definition. The previous job definition is completely overwritten by this information.

Examples:

Response structure

resp.job_name #=> String

Parameters:

• params (Hash) (defaults to: {}) —

  ({})

Options Hash (params):

• :job_name (required, String) —

  The name of the job definition to update.

• :job_update (required, Types::JobUpdate) —

  Specifies the values with which to update the job definition. Unspecified configuration is removed or reset to default values.

Returns:

• (Types::UpdateJobResponse) —

  Returns a response object which responds to the following methods:

  • #job_name => String

See Also:

• AWS API Documentation

# File 'lib/aws-sdk-glue/client.rb', line 16631

def update_job(params = {}, options = {})
  req = build_request(:update_job, params)
  req.send_request(options)
end

#update_job_from_source_control(params = {}) ⇒ Types::UpdateJobFromSourceControlResponse

Synchronizes a job from the source control repository. This operation takes the job artifacts that are located in the remote repository and updates the Glue internal stores with these artifacts.

This API supports optional parameters which take in the repository information.

Examples:

Request syntax with placeholder values

resp = client.update_job_from_source_control({
  job_name: "NameString",
  provider: "GITHUB", # accepts GITHUB, GITLAB, BITBUCKET, AWS_CODE_COMMIT
  repository_name: "NameString",
  repository_owner: "NameString",
  branch_name: "NameString",
  folder: "NameString",
  commit_id: "CommitIdString",
  auth_strategy: "PERSONAL_ACCESS_TOKEN", # accepts PERSONAL_ACCESS_TOKEN, AWS_SECRETS_MANAGER
  auth_token: "AuthTokenString",
})

Response structure

resp.job_name #=> String

Parameters:

• params (Hash) (defaults to: {}) —

  ({})

Options Hash (params):

• :job_name (String) —

  The name of the Glue job to be synchronized to or from the remote repository.

• :provider (String) —

  The provider for the remote repository. Possible values: GITHUB, AWS_CODE_COMMIT, GITLAB, BITBUCKET.

• :repository_name (String) —

  The name of the remote repository that contains the job artifacts. For BitBucket providers, ‘RepositoryName` should include `WorkspaceName`. Use the format `<WorkspaceName>/<RepositoryName>`.

• :repository_owner (String) —

  The owner of the remote repository that contains the job artifacts.

• :branch_name (String) —

  An optional branch in the remote repository.

• :folder (String) —

  An optional folder in the remote repository.

• :commit_id (String) —

  A commit ID for a commit in the remote repository.

• :auth_strategy (String) —

  The type of authentication, which can be an authentication token stored in Amazon Web Services Secrets Manager, or a personal access token.

• :auth_token (String) —

  The value of the authorization token.

Returns:

• (Types::UpdateJobFromSourceControlResponse) —

  Returns a response object which responds to the following methods:

  • #job_name => String

See Also:

• AWS API Documentation

# File 'lib/aws-sdk-glue/client.rb', line 16702

def update_job_from_source_control(params = {}, options = {})
  req = build_request(:update_job_from_source_control, params)
  req.send_request(options)
end

#update_ml_transform(params = {}) ⇒ Types::UpdateMLTransformResponse

Updates an existing machine learning transform. Call this operation to tune the algorithm parameters to achieve better results.

After calling this operation, you can call the ‘StartMLEvaluationTaskRun` operation to assess how well your new parameters achieved your goals (such as improving the quality of your machine learning transform, or making it more cost-effective).

Examples:

Request syntax with placeholder values

resp = client.update_ml_transform({
  transform_id: "HashString", # required
  name: "NameString",
  description: "DescriptionString",
  parameters: {
    transform_type: "FIND_MATCHES", # required, accepts FIND_MATCHES
    find_matches_parameters: {
      primary_key_column_name: "ColumnNameString",
      precision_recall_tradeoff: 1.0,
      accuracy_cost_tradeoff: 1.0,
      enforce_provided_labels: false,
    },
  },
  role: "RoleString",
  glue_version: "GlueVersionString",
  max_capacity: 1.0,
  worker_type: "Standard", # accepts Standard, G.1X, G.2X, G.025X, G.4X, G.8X, Z.2X
  number_of_workers: 1,
  timeout: 1,
  max_retries: 1,
})

Response structure

resp.transform_id #=> String

Parameters:

• params (Hash) (defaults to: {}) —

  ({})

Options Hash (params):

• :transform_id (required, String) —

  A unique identifier that was generated when the transform was created.

• :name (String) —

  The unique name that you gave the transform when you created it.

• :description (String) —

  A description of the transform. The default is an empty string.

• :parameters (Types::TransformParameters) —

  The configuration parameters that are specific to the transform type (algorithm) used. Conditionally dependent on the transform type.

• :role (String) —

  The name or Amazon Resource Name (ARN) of the IAM role with the required permissions.

• :glue_version (String) —

  This value determines which version of Glue this machine learning transform is compatible with. Glue 1.0 is recommended for most customers. If the value is not set, the Glue compatibility defaults to Glue 0.9. For more information, see [Glue Versions] in the developer guide.

  [1]: docs.aws.amazon.com/glue/latest/dg/release-notes.html#release-notes-versions

• :max_capacity (Float) —

  The number of Glue data processing units (DPUs) that are allocated to task runs for this transform. You can allocate from 2 to 100 DPUs; the default is 10. A DPU is a relative measure of processing power that consists of 4 vCPUs of compute capacity and 16 GB of memory. For more information, see the [Glue pricing page].

  When the ‘WorkerType` field is set to a value other than `Standard`, the `MaxCapacity` field is set automatically and becomes read-only.

  [1]: aws.amazon.com/glue/pricing/

• :worker_type (String) —

  The type of predefined worker that is allocated when this task runs. Accepts a value of Standard, G.1X, or G.2X.

  • For the ‘Standard` worker type, each worker provides 4 vCPU, 16 GB of memory and a 50GB disk, and 2 executors per worker.

  • For the ‘G.1X` worker type, each worker provides 4 vCPU, 16 GB of memory and a 64GB disk, and 1 executor per worker.

  • For the ‘G.2X` worker type, each worker provides 8 vCPU, 32 GB of memory and a 128GB disk, and 1 executor per worker.

• :number_of_workers (Integer) —

  The number of workers of a defined ‘workerType` that are allocated when this task runs.

• :timeout (Integer) —

  The timeout for a task run for this transform in minutes. This is the maximum time that a task run for this transform can consume resources before it is terminated and enters ‘TIMEOUT` status. The default is 2,880 minutes (48 hours).

• :max_retries (Integer) —

  The maximum number of times to retry a task for this transform after a task run fails.

Returns:

• (Types::UpdateMLTransformResponse) —

  Returns a response object which responds to the following methods:

  • #transform_id => String

See Also:

• AWS API Documentation

# File 'lib/aws-sdk-glue/client.rb', line 16820

def update_ml_transform(params = {}, options = {})
  req = build_request(:update_ml_transform, params)
  req.send_request(options)
end

#update_partition(params = {}) ⇒ Struct

Updates a partition.

Examples:

Request syntax with placeholder values

resp = client.update_partition({
  catalog_id: "CatalogIdString",
  database_name: "NameString", # required
  table_name: "NameString", # required
  partition_value_list: ["ValueString"], # required
  partition_input: { # required
    values: ["ValueString"],
    last_access_time: Time.now,
    storage_descriptor: {
      columns: [
        {
          name: "NameString", # required
          type: "ColumnTypeString",
          comment: "CommentString",
          parameters: {
            "KeyString" => "ParametersMapValue",
          },
        },
      ],
      location: "LocationString",
      additional_locations: ["LocationString"],
      input_format: "FormatString",
      output_format: "FormatString",
      compressed: false,
      number_of_buckets: 1,
      serde_info: {
        name: "NameString",
        serialization_library: "NameString",
        parameters: {
          "KeyString" => "ParametersMapValue",
        },
      },
      bucket_columns: ["NameString"],
      sort_columns: [
        {
          column: "NameString", # required
          sort_order: 1, # required
        },
      ],
      parameters: {
        "KeyString" => "ParametersMapValue",
      },
      skewed_info: {
        skewed_column_names: ["NameString"],
        skewed_column_values: ["ColumnValuesString"],
        skewed_column_value_location_maps: {
          "ColumnValuesString" => "ColumnValuesString",
        },
      },
      stored_as_sub_directories: false,
      schema_reference: {
        schema_id: {
          schema_arn: "GlueResourceArn",
          schema_name: "SchemaRegistryNameString",
          registry_name: "SchemaRegistryNameString",
        },
        schema_version_id: "SchemaVersionIdString",
        schema_version_number: 1,
      },
    },
    parameters: {
      "KeyString" => "ParametersMapValue",
    },
    last_analyzed_time: Time.now,
  },
})

Parameters:

• params (Hash) (defaults to: {}) —

  ({})

Options Hash (params):

• :catalog_id (String) —

  The ID of the Data Catalog where the partition to be updated resides. If none is provided, the Amazon Web Services account ID is used by default.

• :database_name (required, String) —

  The name of the catalog database in which the table in question resides.

• :table_name (required, String) —

  The name of the table in which the partition to be updated is located.

• :partition_value_list (required, Array<String>) —

  List of partition key values that define the partition to update.

• :partition_input (required, Types::PartitionInput) —

  The new partition object to update the partition to.

  The ‘Values` property can’t be changed. If you want to change the partition key values for a partition, delete and recreate the partition.

Returns:

• (Struct) —

  Returns an empty response.

See Also:

• AWS API Documentation

# File 'lib/aws-sdk-glue/client.rb', line 16924

def update_partition(params = {}, options = {})
  req = build_request(:update_partition, params)
  req.send_request(options)
end

#update_registry(params = {}) ⇒ Types::UpdateRegistryResponse

Updates an existing registry which is used to hold a collection of schemas. The updated properties relate to the registry, and do not modify any of the schemas within the registry.

Examples:

Request syntax with placeholder values

resp = client.update_registry({
  registry_id: { # required
    registry_name: "SchemaRegistryNameString",
    registry_arn: "GlueResourceArn",
  },
  description: "DescriptionString", # required
})

Response structure

resp.registry_name #=> String
resp.registry_arn #=> String

Parameters:

• params (Hash) (defaults to: {}) —

  ({})

Options Hash (params):

• :registry_id (required, Types::RegistryId) —

  This is a wrapper structure that may contain the registry name and Amazon Resource Name (ARN).

• :description (required, String) —

  A description of the registry. If description is not provided, this field will not be updated.

Returns:

• (Types::UpdateRegistryResponse) —

  Returns a response object which responds to the following methods:

  • #registry_name => String

  • #registry_arn => String

See Also:

• AWS API Documentation

# File 'lib/aws-sdk-glue/client.rb', line 16965

def update_registry(params = {}, options = {})
  req = build_request(:update_registry, params)
  req.send_request(options)
end

#update_schema(params = {}) ⇒ Types::UpdateSchemaResponse

Updates the description, compatibility setting, or version checkpoint for a schema set.

For updating the compatibility setting, the call will not validate compatibility for the entire set of schema versions with the new compatibility setting. If the value for ‘Compatibility` is provided, the `VersionNumber` (a checkpoint) is also required. The API will validate the checkpoint version number for consistency.

If the value for the ‘VersionNumber` (checkpoint) is provided, `Compatibility` is optional and this can be used to set/reset a checkpoint for the schema.

This update will happen only if the schema is in the AVAILABLE state.

Examples:

Request syntax with placeholder values

resp = client.update_schema({
  schema_id: { # required
    schema_arn: "GlueResourceArn",
    schema_name: "SchemaRegistryNameString",
    registry_name: "SchemaRegistryNameString",
  },
  schema_version_number: {
    latest_version: false,
    version_number: 1,
  },
  compatibility: "NONE", # accepts NONE, DISABLED, BACKWARD, BACKWARD_ALL, FORWARD, FORWARD_ALL, FULL, FULL_ALL
  description: "DescriptionString",
})

Response structure

resp.schema_arn #=> String
resp.schema_name #=> String
resp.registry_name #=> String

Parameters:

• params (Hash) (defaults to: {}) —

  ({})

Options Hash (params):

• :schema_id (required, Types::SchemaId) —

  This is a wrapper structure to contain schema identity fields. The structure contains:

  • SchemaId$SchemaArn: The Amazon Resource Name (ARN) of the schema. One of ‘SchemaArn` or `SchemaName` has to be provided.

  • SchemaId$SchemaName: The name of the schema. One of ‘SchemaArn` or `SchemaName` has to be provided.

• :schema_version_number (Types::SchemaVersionNumber) —

  Version number required for check pointing. One of ‘VersionNumber` or `Compatibility` has to be provided.

• :compatibility (String) —

  The new compatibility setting for the schema.

• :description (String) —

  The new description for the schema.

Returns:

• (Types::UpdateSchemaResponse) —

  Returns a response object which responds to the following methods:

  • #schema_arn => String

  • #schema_name => String

  • #registry_name => String

See Also:

• AWS API Documentation

# File 'lib/aws-sdk-glue/client.rb', line 17037

def update_schema(params = {}, options = {})
  req = build_request(:update_schema, params)
  req.send_request(options)
end

#update_source_control_from_job(params = {}) ⇒ Types::UpdateSourceControlFromJobResponse

Synchronizes a job to the source control repository. This operation takes the job artifacts from the Glue internal stores and makes a commit to the remote repository that is configured on the job.

This API supports optional parameters which take in the repository information.

Examples:

Request syntax with placeholder values

resp = client.update_source_control_from_job({
  job_name: "NameString",
  provider: "GITHUB", # accepts GITHUB, GITLAB, BITBUCKET, AWS_CODE_COMMIT
  repository_name: "NameString",
  repository_owner: "NameString",
  branch_name: "NameString",
  folder: "NameString",
  commit_id: "CommitIdString",
  auth_strategy: "PERSONAL_ACCESS_TOKEN", # accepts PERSONAL_ACCESS_TOKEN, AWS_SECRETS_MANAGER
  auth_token: "AuthTokenString",
})

Response structure

resp.job_name #=> String

Parameters:

• params (Hash) (defaults to: {}) —

  ({})

Options Hash (params):

• :job_name (String) —

  The name of the Glue job to be synchronized to or from the remote repository.

• :provider (String) —

  The provider for the remote repository. Possible values: GITHUB, AWS_CODE_COMMIT, GITLAB, BITBUCKET.

• :repository_name (String) —

  The name of the remote repository that contains the job artifacts. For BitBucket providers, ‘RepositoryName` should include `WorkspaceName`. Use the format `<WorkspaceName>/<RepositoryName>`.

• :repository_owner (String) —

  The owner of the remote repository that contains the job artifacts.

• :branch_name (String) —

  An optional branch in the remote repository.

• :folder (String) —

  An optional folder in the remote repository.

• :commit_id (String) —

  A commit ID for a commit in the remote repository.

• :auth_strategy (String) —

  The type of authentication, which can be an authentication token stored in Amazon Web Services Secrets Manager, or a personal access token.

• :auth_token (String) —

  The value of the authorization token.

Returns:

• (Types::UpdateSourceControlFromJobResponse) —

  Returns a response object which responds to the following methods:

  • #job_name => String

See Also:

• AWS API Documentation

# File 'lib/aws-sdk-glue/client.rb', line 17108

def update_source_control_from_job(params = {}, options = {})
  req = build_request(:update_source_control_from_job, params)
  req.send_request(options)
end

#update_table(params = {}) ⇒ Struct

Updates a metadata table in the Data Catalog.

Examples:

Request syntax with placeholder values

resp = client.update_table({
  catalog_id: "CatalogIdString",
  database_name: "NameString", # required
  table_input: { # required
    name: "NameString", # required
    description: "DescriptionString",
    owner: "NameString",
    last_access_time: Time.now,
    last_analyzed_time: Time.now,
    retention: 1,
    storage_descriptor: {
      columns: [
        {
          name: "NameString", # required
          type: "ColumnTypeString",
          comment: "CommentString",
          parameters: {
            "KeyString" => "ParametersMapValue",
          },
        },
      ],
      location: "LocationString",
      additional_locations: ["LocationString"],
      input_format: "FormatString",
      output_format: "FormatString",
      compressed: false,
      number_of_buckets: 1,
      serde_info: {
        name: "NameString",
        serialization_library: "NameString",
        parameters: {
          "KeyString" => "ParametersMapValue",
        },
      },
      bucket_columns: ["NameString"],
      sort_columns: [
        {
          column: "NameString", # required
          sort_order: 1, # required
        },
      ],
      parameters: {
        "KeyString" => "ParametersMapValue",
      },
      skewed_info: {
        skewed_column_names: ["NameString"],
        skewed_column_values: ["ColumnValuesString"],
        skewed_column_value_location_maps: {
          "ColumnValuesString" => "ColumnValuesString",
        },
      },
      stored_as_sub_directories: false,
      schema_reference: {
        schema_id: {
          schema_arn: "GlueResourceArn",
          schema_name: "SchemaRegistryNameString",
          registry_name: "SchemaRegistryNameString",
        },
        schema_version_id: "SchemaVersionIdString",
        schema_version_number: 1,
      },
    },
    partition_keys: [
      {
        name: "NameString", # required
        type: "ColumnTypeString",
        comment: "CommentString",
        parameters: {
          "KeyString" => "ParametersMapValue",
        },
      },
    ],
    view_original_text: "ViewTextString",
    view_expanded_text: "ViewTextString",
    table_type: "TableTypeString",
    parameters: {
      "KeyString" => "ParametersMapValue",
    },
    target_table: {
      catalog_id: "CatalogIdString",
      database_name: "NameString",
      name: "NameString",
      region: "NameString",
    },
    view_definition: {
      is_protected: false,
      definer: "ArnString",
      representations: [
        {
          dialect: "REDSHIFT", # accepts REDSHIFT, ATHENA, SPARK
          dialect_version: "ViewDialectVersionString",
          view_original_text: "ViewTextString",
          validation_connection: "NameString",
          view_expanded_text: "ViewTextString",
        },
      ],
      sub_objects: ["ArnString"],
    },
  },
  skip_archive: false,
  transaction_id: "TransactionIdString",
  version_id: "VersionString",
  view_update_action: "ADD", # accepts ADD, REPLACE, ADD_OR_REPLACE, DROP
  force: false,
})

Parameters:

• params (Hash) (defaults to: {}) —

  ({})

Options Hash (params):

• :catalog_id (String) —

  The ID of the Data Catalog where the table resides. If none is provided, the Amazon Web Services account ID is used by default.

• :database_name (required, String) —

  The name of the catalog database in which the table resides. For Hive compatibility, this name is entirely lowercase.

• :table_input (required, Types::TableInput) —

  An updated ‘TableInput` object to define the metadata table in the catalog.

• :skip_archive (Boolean) —

  By default, ‘UpdateTable` always creates an archived version of the table before updating it. However, if `skipArchive` is set to true, `UpdateTable` does not create the archived version.

• :transaction_id (String) —

  The transaction ID at which to update the table contents.

• :version_id (String) —

  The version ID at which to update the table contents.

• :view_update_action (String) —

  The operation to be performed when updating the view.

• :force (Boolean) —

  A flag that can be set to true to ignore matching storage descriptor and subobject matching requirements.

Returns:

• (Struct) —

  Returns an empty response.

See Also:

• AWS API Documentation

# File 'lib/aws-sdk-glue/client.rb', line 17259

def update_table(params = {}, options = {})
  req = build_request(:update_table, params)
  req.send_request(options)
end

#update_table_optimizer(params = {}) ⇒ Struct

Updates the configuration for an existing table optimizer.

Examples:

Request syntax with placeholder values

resp = client.update_table_optimizer({
  catalog_id: "CatalogIdString", # required
  database_name: "NameString", # required
  table_name: "NameString", # required
  type: "compaction", # required, accepts compaction
  table_optimizer_configuration: { # required
    role_arn: "ArnString",
    enabled: false,
  },
})

Parameters:

• params (Hash) (defaults to: {}) —

  ({})

Options Hash (params):

• :catalog_id (required, String) —

  The Catalog ID of the table.

• :database_name (required, String) —

  The name of the database in the catalog in which the table resides.

• :table_name (required, String) —

  The name of the table.

• :type (required, String) —

  The type of table optimizer. Currently, the only valid value is ‘compaction`.

• :table_optimizer_configuration (required, Types::TableOptimizerConfiguration) —

  A ‘TableOptimizerConfiguration` object representing the configuration of a table optimizer.

Returns:

• (Struct) —

  Returns an empty response.

See Also:

• AWS API Documentation

# File 'lib/aws-sdk-glue/client.rb', line 17302

def update_table_optimizer(params = {}, options = {})
  req = build_request(:update_table_optimizer, params)
  req.send_request(options)
end

#update_trigger(params = {}) ⇒ Types::UpdateTriggerResponse

Updates a trigger definition.

Examples:

Request syntax with placeholder values

resp = client.update_trigger({
  name: "NameString", # required
  trigger_update: { # required
    name: "NameString",
    description: "DescriptionString",
    schedule: "GenericString",
    actions: [
      {
        job_name: "NameString",
        arguments: {
          "GenericString" => "GenericString",
        },
        timeout: 1,
        security_configuration: "NameString",
        notification_property: {
          notify_delay_after: 1,
        },
        crawler_name: "NameString",
      },
    ],
    predicate: {
      logical: "AND", # accepts AND, ANY
      conditions: [
        {
          logical_operator: "EQUALS", # accepts EQUALS
          job_name: "NameString",
          state: "STARTING", # accepts STARTING, RUNNING, STOPPING, STOPPED, SUCCEEDED, FAILED, TIMEOUT, ERROR, WAITING, EXPIRED
          crawler_name: "NameString",
          crawl_state: "RUNNING", # accepts RUNNING, CANCELLING, CANCELLED, SUCCEEDED, FAILED, ERROR
        },
      ],
    },
    event_batching_condition: {
      batch_size: 1, # required
      batch_window: 1,
    },
  },
})

Response structure

resp.trigger.name #=> String
resp.trigger.workflow_name #=> String
resp.trigger.id #=> String
resp.trigger.type #=> String, one of "SCHEDULED", "CONDITIONAL", "ON_DEMAND", "EVENT"
resp.trigger.state #=> String, one of "CREATING", "CREATED", "ACTIVATING", "ACTIVATED", "DEACTIVATING", "DEACTIVATED", "DELETING", "UPDATING"
resp.trigger.description #=> String
resp.trigger.schedule #=> String
resp.trigger.actions #=> Array
resp.trigger.actions[0].job_name #=> String
resp.trigger.actions[0].arguments #=> Hash
resp.trigger.actions[0].arguments["GenericString"] #=> String
resp.trigger.actions[0].timeout #=> Integer
resp.trigger.actions[0].security_configuration #=> String
resp.trigger.actions[0].notification_property.notify_delay_after #=> Integer
resp.trigger.actions[0].crawler_name #=> String
resp.trigger.predicate.logical #=> String, one of "AND", "ANY"
resp.trigger.predicate.conditions #=> Array
resp.trigger.predicate.conditions[0].logical_operator #=> String, one of "EQUALS"
resp.trigger.predicate.conditions[0].job_name #=> String
resp.trigger.predicate.conditions[0].state #=> String, one of "STARTING", "RUNNING", "STOPPING", "STOPPED", "SUCCEEDED", "FAILED", "TIMEOUT", "ERROR", "WAITING", "EXPIRED"
resp.trigger.predicate.conditions[0].crawler_name #=> String
resp.trigger.predicate.conditions[0].crawl_state #=> String, one of "RUNNING", "CANCELLING", "CANCELLED", "SUCCEEDED", "FAILED", "ERROR"
resp.trigger.event_batching_condition.batch_size #=> Integer
resp.trigger.event_batching_condition.batch_window #=> Integer

Parameters:

• params (Hash) (defaults to: {}) —

  ({})

Options Hash (params):

• :name (required, String) —

  The name of the trigger to update.

• :trigger_update (required, Types::TriggerUpdate) —

  The new values with which to update the trigger.

Returns:

• (Types::UpdateTriggerResponse) —

  Returns a response object which responds to the following methods:

  • #trigger => Types::Trigger

See Also:

• AWS API Documentation

# File 'lib/aws-sdk-glue/client.rb', line 17391

def update_trigger(params = {}, options = {})
  req = build_request(:update_trigger, params)
  req.send_request(options)
end

#update_usage_profile(params = {}) ⇒ Types::UpdateUsageProfileResponse

Update an Glue usage profile.

Examples:

Request syntax with placeholder values

resp = client.update_usage_profile({
  name: "NameString", # required
  description: "DescriptionString",
  configuration: { # required
    session_configuration: {
      "NameString" => {
        default_value: "ConfigValueString",
        allowed_values: ["ConfigValueString"],
        min_value: "ConfigValueString",
        max_value: "ConfigValueString",
      },
    },
    job_configuration: {
      "NameString" => {
        default_value: "ConfigValueString",
        allowed_values: ["ConfigValueString"],
        min_value: "ConfigValueString",
        max_value: "ConfigValueString",
      },
    },
  },
})

Response structure

resp.name #=> String

Parameters:

• params (Hash) (defaults to: {}) —

  ({})

Options Hash (params):

• :name (required, String) —

  The name of the usage profile.

• :description (String) —

  A description of the usage profile.

• :configuration (required, Types::ProfileConfiguration) —

  A ‘ProfileConfiguration` object specifying the job and session values for the profile.

Returns:

• (Types::UpdateUsageProfileResponse) —

  Returns a response object which responds to the following methods:

  • #name => String

See Also:

• AWS API Documentation

# File 'lib/aws-sdk-glue/client.rb', line 17445

def update_usage_profile(params = {}, options = {})
  req = build_request(:update_usage_profile, params)
  req.send_request(options)
end

#update_user_defined_function(params = {}) ⇒ Struct

Updates an existing function definition in the Data Catalog.

Examples:

Request syntax with placeholder values

resp = client.update_user_defined_function({
  catalog_id: "CatalogIdString",
  database_name: "NameString", # required
  function_name: "NameString", # required
  function_input: { # required
    function_name: "NameString",
    class_name: "NameString",
    owner_name: "NameString",
    owner_type: "USER", # accepts USER, ROLE, GROUP
    resource_uris: [
      {
        resource_type: "JAR", # accepts JAR, FILE, ARCHIVE
        uri: "URI",
      },
    ],
  },
})

Parameters:

• params (Hash) (defaults to: {}) —

  ({})

Options Hash (params):

• :catalog_id (String) —

  The ID of the Data Catalog where the function to be updated is located. If none is provided, the Amazon Web Services account ID is used by default.

• :database_name (required, String) —

  The name of the catalog database where the function to be updated is located.

• :function_name (required, String) —

  The name of the function.

• :function_input (required, Types::UserDefinedFunctionInput) —

  A ‘FunctionInput` object that redefines the function in the Data Catalog.

Returns:

• (Struct) —

  Returns an empty response.

See Also:

• AWS API Documentation

# File 'lib/aws-sdk-glue/client.rb', line 17494

def update_user_defined_function(params = {}, options = {})
  req = build_request(:update_user_defined_function, params)
  req.send_request(options)
end

#update_workflow(params = {}) ⇒ Types::UpdateWorkflowResponse

Updates an existing workflow.

Examples:

Request syntax with placeholder values

resp = client.update_workflow({
  name: "NameString", # required
  description: "GenericString",
  default_run_properties: {
    "IdString" => "GenericString",
  },
  max_concurrent_runs: 1,
})

Response structure

resp.name #=> String

Parameters:

• params (Hash) (defaults to: {}) —

  ({})

Options Hash (params):

• :name (required, String) —

  Name of the workflow to be updated.

• :description (String) —

  The description of the workflow.

• :default_run_properties (Hash<String,String>) —

  A collection of properties to be used as part of each execution of the workflow.

• :max_concurrent_runs (Integer) —

  You can use this parameter to prevent unwanted multiple updates to data, to control costs, or in some cases, to prevent exceeding the maximum number of concurrent runs of any of the component jobs. If you leave this parameter blank, there is no limit to the number of concurrent workflow runs.

Returns:

• (Types::UpdateWorkflowResponse) —

  Returns a response object which responds to the following methods:

  • #name => String

See Also:

• AWS API Documentation

# File 'lib/aws-sdk-glue/client.rb', line 17541

def update_workflow(params = {}, options = {})
  req = build_request(:update_workflow, params)
  req.send_request(options)
end

#waiter_names ⇒ Object

This method is part of a private API. You should avoid using this method if possible, as it may be removed or be changed in the future.

Deprecated.

# File 'lib/aws-sdk-glue/client.rb', line 17565

def waiter_names
  []
end