Class: Aws::EMRContainers::Client
- Inherits:
-
Seahorse::Client::Base
- Object
- Seahorse::Client::Base
- Aws::EMRContainers::Client
- Includes:
- ClientStubs
- Defined in:
- lib/aws-sdk-emrcontainers/client.rb
Overview
An API client for EMRContainers. To construct a client, you need to configure a ‘:region` and `:credentials`.
client = Aws::EMRContainers::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 collapse
- .identifier ⇒ Object readonly private
API Operations collapse
-
#cancel_job_run(params = {}) ⇒ Types::CancelJobRunResponse
Cancels a job run.
-
#create_job_template(params = {}) ⇒ Types::CreateJobTemplateResponse
Creates a job template.
-
#create_managed_endpoint(params = {}) ⇒ Types::CreateManagedEndpointResponse
Creates a managed endpoint.
-
#create_security_configuration(params = {}) ⇒ Types::CreateSecurityConfigurationResponse
Creates a security configuration.
-
#create_virtual_cluster(params = {}) ⇒ Types::CreateVirtualClusterResponse
Creates a virtual cluster.
-
#delete_job_template(params = {}) ⇒ Types::DeleteJobTemplateResponse
Deletes a job template.
-
#delete_managed_endpoint(params = {}) ⇒ Types::DeleteManagedEndpointResponse
Deletes a managed endpoint.
-
#delete_virtual_cluster(params = {}) ⇒ Types::DeleteVirtualClusterResponse
Deletes a virtual cluster.
-
#describe_job_run(params = {}) ⇒ Types::DescribeJobRunResponse
Displays detailed information about a job run.
-
#describe_job_template(params = {}) ⇒ Types::DescribeJobTemplateResponse
Displays detailed information about a specified job template.
-
#describe_managed_endpoint(params = {}) ⇒ Types::DescribeManagedEndpointResponse
Displays detailed information about a managed endpoint.
-
#describe_security_configuration(params = {}) ⇒ Types::DescribeSecurityConfigurationResponse
Displays detailed information about a specified security configuration.
-
#describe_virtual_cluster(params = {}) ⇒ Types::DescribeVirtualClusterResponse
Displays detailed information about a specified virtual cluster.
-
#get_managed_endpoint_session_credentials(params = {}) ⇒ Types::GetManagedEndpointSessionCredentialsResponse
Generate a session token to connect to a managed endpoint.
-
#list_job_runs(params = {}) ⇒ Types::ListJobRunsResponse
Lists job runs based on a set of parameters.
-
#list_job_templates(params = {}) ⇒ Types::ListJobTemplatesResponse
Lists job templates based on a set of parameters.
-
#list_managed_endpoints(params = {}) ⇒ Types::ListManagedEndpointsResponse
Lists managed endpoints based on a set of parameters.
-
#list_security_configurations(params = {}) ⇒ Types::ListSecurityConfigurationsResponse
Lists security configurations based on a set of parameters.
-
#list_tags_for_resource(params = {}) ⇒ Types::ListTagsForResourceResponse
Lists the tags assigned to the resources.
-
#list_virtual_clusters(params = {}) ⇒ Types::ListVirtualClustersResponse
Lists information about the specified virtual cluster.
-
#start_job_run(params = {}) ⇒ Types::StartJobRunResponse
Starts a job run.
-
#tag_resource(params = {}) ⇒ Struct
Assigns tags to resources.
-
#untag_resource(params = {}) ⇒ Struct
Removes tags from resources.
Class Method Summary collapse
- .errors_module ⇒ Object private
Instance Method Summary collapse
- #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.
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# File 'lib/aws-sdk-emrcontainers/client.rb', line 444 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.
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# File 'lib/aws-sdk-emrcontainers/client.rb', line 1927 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.
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# File 'lib/aws-sdk-emrcontainers/client.rb', line 1930 def errors_module Errors end |
Instance Method Details
#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.
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# File 'lib/aws-sdk-emrcontainers/client.rb', line 1900 def build_request(operation_name, params = {}) handlers = @handlers.for(operation_name) tracer = config.telemetry_provider.tracer_provider.tracer( Aws::Telemetry.module_to_tracer_name('Aws::EMRContainers') ) context = Seahorse::Client::RequestContext.new( operation_name: operation_name, operation: config.api.operation(operation_name), client: self, params: params, config: config, tracer: tracer ) context[:gem_name] = 'aws-sdk-emrcontainers' context[:gem_version] = '1.48.0' Seahorse::Client::Request.new(handlers, context) end |
#cancel_job_run(params = {}) ⇒ Types::CancelJobRunResponse
Cancels a job run. A job run is a unit of work, such as a Spark jar, PySpark script, or SparkSQL query, that you submit to Amazon EMR on EKS.
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# File 'lib/aws-sdk-emrcontainers/client.rb', line 481 def cancel_job_run(params = {}, = {}) req = build_request(:cancel_job_run, params) req.send_request() end |
#create_job_template(params = {}) ⇒ Types::CreateJobTemplateResponse
Creates a job template. Job template stores values of StartJobRun API request in a template and can be used to start a job run. Job template allows two use cases: avoid repeating recurring StartJobRun API request values, enforcing certain values in StartJobRun API request.
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# File 'lib/aws-sdk-emrcontainers/client.rb', line 585 def create_job_template(params = {}, = {}) req = build_request(:create_job_template, params) req.send_request() end |
#create_managed_endpoint(params = {}) ⇒ Types::CreateManagedEndpointResponse
Creates a managed endpoint. A managed endpoint is a gateway that connects Amazon EMR Studio to Amazon EMR on EKS so that Amazon EMR Studio can communicate with your virtual cluster.
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# File 'lib/aws-sdk-emrcontainers/client.rb', line 686 def create_managed_endpoint(params = {}, = {}) req = build_request(:create_managed_endpoint, params) req.send_request() end |
#create_security_configuration(params = {}) ⇒ Types::CreateSecurityConfigurationResponse
Creates a security configuration. Security configurations in Amazon EMR on EKS are templates for different security setups. You can use security configurations to configure the Lake Formation integration setup. You can also create a security configuration to re-use a security setup each time you create a virtual cluster.
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# File 'lib/aws-sdk-emrcontainers/client.rb', line 760 def create_security_configuration(params = {}, = {}) req = build_request(:create_security_configuration, params) req.send_request() end |
#create_virtual_cluster(params = {}) ⇒ Types::CreateVirtualClusterResponse
Creates a virtual cluster. Virtual cluster is a managed entity on Amazon EMR on EKS. You can create, describe, list and delete virtual clusters. They do not consume any additional resource in your system. A single virtual cluster maps to a single Kubernetes namespace. Given this relationship, you can model virtual clusters the same way you model Kubernetes namespaces to meet your requirements.
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# File 'lib/aws-sdk-emrcontainers/client.rb', line 826 def create_virtual_cluster(params = {}, = {}) req = build_request(:create_virtual_cluster, params) req.send_request() end |
#delete_job_template(params = {}) ⇒ Types::DeleteJobTemplateResponse
Deletes a job template. Job template stores values of StartJobRun API request in a template and can be used to start a job run. Job template allows two use cases: avoid repeating recurring StartJobRun API request values, enforcing certain values in StartJobRun API request.
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# File 'lib/aws-sdk-emrcontainers/client.rb', line 857 def delete_job_template(params = {}, = {}) req = build_request(:delete_job_template, params) req.send_request() end |
#delete_managed_endpoint(params = {}) ⇒ Types::DeleteManagedEndpointResponse
Deletes a managed endpoint. A managed endpoint is a gateway that connects Amazon EMR Studio to Amazon EMR on EKS so that Amazon EMR Studio can communicate with your virtual cluster.
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# File 'lib/aws-sdk-emrcontainers/client.rb', line 893 def delete_managed_endpoint(params = {}, = {}) req = build_request(:delete_managed_endpoint, params) req.send_request() end |
#delete_virtual_cluster(params = {}) ⇒ Types::DeleteVirtualClusterResponse
Deletes a virtual cluster. Virtual cluster is a managed entity on Amazon EMR on EKS. You can create, describe, list and delete virtual clusters. They do not consume any additional resource in your system. A single virtual cluster maps to a single Kubernetes namespace. Given this relationship, you can model virtual clusters the same way you model Kubernetes namespaces to meet your requirements.
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# File 'lib/aws-sdk-emrcontainers/client.rb', line 926 def delete_virtual_cluster(params = {}, = {}) req = build_request(:delete_virtual_cluster, params) req.send_request() end |
#describe_job_run(params = {}) ⇒ Types::DescribeJobRunResponse
Displays detailed information about a job run. A job run is a unit of work, such as a Spark jar, PySpark script, or SparkSQL query, that you submit to Amazon EMR on EKS.
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# File 'lib/aws-sdk-emrcontainers/client.rb', line 993 def describe_job_run(params = {}, = {}) req = build_request(:describe_job_run, params) req.send_request() end |
#describe_job_template(params = {}) ⇒ Types::DescribeJobTemplateResponse
Displays detailed information about a specified job template. Job template stores values of StartJobRun API request in a template and can be used to start a job run. Job template allows two use cases: avoid repeating recurring StartJobRun API request values, enforcing certain values in StartJobRun API request.
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# File 'lib/aws-sdk-emrcontainers/client.rb', line 1055 def describe_job_template(params = {}, = {}) req = build_request(:describe_job_template, params) req.send_request() end |
#describe_managed_endpoint(params = {}) ⇒ Types::DescribeManagedEndpointResponse
Displays detailed information about a managed endpoint. A managed endpoint is a gateway that connects Amazon EMR Studio to Amazon EMR on EKS so that Amazon EMR Studio can communicate with your virtual cluster.
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# File 'lib/aws-sdk-emrcontainers/client.rb', line 1120 def describe_managed_endpoint(params = {}, = {}) req = build_request(:describe_managed_endpoint, params) req.send_request() end |
#describe_security_configuration(params = {}) ⇒ Types::DescribeSecurityConfigurationResponse
Displays detailed information about a specified security configuration. Security configurations in Amazon EMR on EKS are templates for different security setups. You can use security configurations to configure the Lake Formation integration setup. You can also create a security configuration to re-use a security setup each time you create a virtual cluster.
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# File 'lib/aws-sdk-emrcontainers/client.rb', line 1166 def describe_security_configuration(params = {}, = {}) req = build_request(:describe_security_configuration, params) req.send_request() end |
#describe_virtual_cluster(params = {}) ⇒ Types::DescribeVirtualClusterResponse
Displays detailed information about a specified virtual cluster. Virtual cluster is a managed entity on Amazon EMR on EKS. You can create, describe, list and delete virtual clusters. They do not consume any additional resource in your system. A single virtual cluster maps to a single Kubernetes namespace. Given this relationship, you can model virtual clusters the same way you model Kubernetes namespaces to meet your requirements.
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# File 'lib/aws-sdk-emrcontainers/client.rb', line 1210 def describe_virtual_cluster(params = {}, = {}) req = build_request(:describe_virtual_cluster, params) req.send_request() end |
#get_managed_endpoint_session_credentials(params = {}) ⇒ Types::GetManagedEndpointSessionCredentialsResponse
Generate a session token to connect to a managed endpoint.
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# File 'lib/aws-sdk-emrcontainers/client.rb', line 1272 def get_managed_endpoint_session_credentials(params = {}, = {}) req = build_request(:get_managed_endpoint_session_credentials, params) req.send_request() end |
#list_job_runs(params = {}) ⇒ Types::ListJobRunsResponse
Lists job runs based on a set of parameters. A job run is a unit of work, such as a Spark jar, PySpark script, or SparkSQL query, that you submit to Amazon EMR on EKS.
The returned response is a pageable response and is Enumerable. For details on usage see PageableResponse.
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# File 'lib/aws-sdk-emrcontainers/client.rb', line 1364 def list_job_runs(params = {}, = {}) req = build_request(:list_job_runs, params) req.send_request() end |
#list_job_templates(params = {}) ⇒ Types::ListJobTemplatesResponse
Lists job templates based on a set of parameters. Job template stores values of StartJobRun API request in a template and can be used to start a job run. Job template allows two use cases: avoid repeating recurring StartJobRun API request values, enforcing certain values in StartJobRun API request.
The returned response is a pageable response and is Enumerable. For details on usage see PageableResponse.
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# File 'lib/aws-sdk-emrcontainers/client.rb', line 1443 def list_job_templates(params = {}, = {}) req = build_request(:list_job_templates, params) req.send_request() end |
#list_managed_endpoints(params = {}) ⇒ Types::ListManagedEndpointsResponse
Lists managed endpoints based on a set of parameters. A managed endpoint is a gateway that connects Amazon EMR Studio to Amazon EMR on EKS so that Amazon EMR Studio can communicate with your virtual cluster.
The returned response is a pageable response and is Enumerable. For details on usage see PageableResponse.
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# File 'lib/aws-sdk-emrcontainers/client.rb', line 1533 def list_managed_endpoints(params = {}, = {}) req = build_request(:list_managed_endpoints, params) req.send_request() end |
#list_security_configurations(params = {}) ⇒ Types::ListSecurityConfigurationsResponse
Lists security configurations based on a set of parameters. Security configurations in Amazon EMR on EKS are templates for different security setups. You can use security configurations to configure the Lake Formation integration setup. You can also create a security configuration to re-use a security setup each time you create a virtual cluster.
The returned response is a pageable response and is Enumerable. For details on usage see PageableResponse.
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# File 'lib/aws-sdk-emrcontainers/client.rb', line 1596 def list_security_configurations(params = {}, = {}) req = build_request(:list_security_configurations, params) req.send_request() end |
#list_tags_for_resource(params = {}) ⇒ Types::ListTagsForResourceResponse
Lists the tags assigned to the resources.
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# File 'lib/aws-sdk-emrcontainers/client.rb', line 1625 def (params = {}, = {}) req = build_request(:list_tags_for_resource, params) req.send_request() end |
#list_virtual_clusters(params = {}) ⇒ Types::ListVirtualClustersResponse
Lists information about the specified virtual cluster. Virtual cluster is a managed entity on Amazon EMR on EKS. You can create, describe, list and delete virtual clusters. They do not consume any additional resource in your system. A single virtual cluster maps to a single Kubernetes namespace. Given this relationship, you can model virtual clusters the same way you model Kubernetes namespaces to meet your requirements.
The returned response is a pageable response and is Enumerable. For details on usage see PageableResponse.
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# File 'lib/aws-sdk-emrcontainers/client.rb', line 1706 def list_virtual_clusters(params = {}, = {}) req = build_request(:list_virtual_clusters, params) req.send_request() end |
#start_job_run(params = {}) ⇒ Types::StartJobRunResponse
Starts a job run. A job run is a unit of work, such as a Spark jar, PySpark script, or SparkSQL query, that you submit to Amazon EMR on EKS.
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# File 'lib/aws-sdk-emrcontainers/client.rb', line 1827 def start_job_run(params = {}, = {}) req = build_request(:start_job_run, params) req.send_request() end |
#tag_resource(params = {}) ⇒ Struct
Assigns tags to resources. A tag is a label that you assign to an Amazon Web Services resource. Each tag consists of a key and an optional value, both of which you define. Tags enable you to categorize your Amazon Web Services resources by attributes such as purpose, owner, or environment. When you have many resources of the same type, you can quickly identify a specific resource based on the tags you’ve assigned to it. For example, you can define a set of tags for your Amazon EMR on EKS clusters to help you track each cluster’s owner and stack level. We recommend that you devise a consistent set of tag keys for each resource type. You can then search and filter the resources based on the tags that you add.
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# File 'lib/aws-sdk-emrcontainers/client.rb', line 1865 def tag_resource(params = {}, = {}) req = build_request(:tag_resource, params) req.send_request() end |
#untag_resource(params = {}) ⇒ Struct
Removes tags from resources.
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# File 'lib/aws-sdk-emrcontainers/client.rb', line 1891 def untag_resource(params = {}, = {}) req = build_request(:untag_resource, params) req.send_request() 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.
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# File 'lib/aws-sdk-emrcontainers/client.rb', line 1920 def waiter_names [] end |