Class: ActiveRecord::Summarize::Summarize
- Inherits:
-
Object
- Object
- ActiveRecord::Summarize::Summarize
- Defined in:
- lib/activerecord/summarize.rb
Instance Attribute Summary collapse
-
#base_association ⇒ Object
readonly
Returns the value of attribute base_association.
-
#base_groups ⇒ Object
readonly
Returns the value of attribute base_groups.
-
#current_result_row ⇒ Object
readonly
Returns the value of attribute current_result_row.
-
#from_where ⇒ Object
readonly
Returns the value of attribute from_where.
-
#noop ⇒ Object
(also: #noop?)
readonly
Returns the value of attribute noop.
-
#pure ⇒ Object
(also: #pure?)
readonly
Returns the value of attribute pure.
Instance Method Summary collapse
- #add_calculation(relation, operation, column_name) ⇒ Object
-
#initialize(relation, pure: nil, noop: false) ⇒ Summarize
constructor
noop: true causes ‘summarize` simply to yield the original relation and a trivial, synchronous `with` proc.
- #process(&block) ⇒ Object
- #resolve ⇒ Object
Constructor Details
#initialize(relation, pure: nil, noop: false) ⇒ Summarize
noop: true
causes `summarize` simply to yield the original relation and a trivial,
synchronous `with` proc. It is meant as a convenient way to test/prove
the correctness of `summarize` and to compare performance of the single
combined query vs the original individual queries.
N.b., if `relation` already has a grouping applied, there is no direct
ActiveRecord translation for what `summarize` does, so noop: true is
impossible and raises an exception.
pure: true
lets `summarize` know that you're not mutating state within the block,
so it doesn't need to go spelunking in the block binding for
ChainableResults. See `if !pure?` section below.
N.b., if `relation` already has a grouping applied, pure: true is
implied and pure: false throws an exception, as the impure behavior
would be non-obvious and of doubtful value.
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# File 'lib/activerecord/summarize.rb', line 29 def initialize(relation, pure: nil, noop: false) @relation = relation @noop = noop @base_groups, @base_association = relation.group_values.dup.then do |group_fields| # Based upon a bit from ActiveRecord::Calculations.execute_grouped_calculation, # if the base relation is grouped only by a belongs_to association, group by # the association's foreign key. if group_fields.size == 1 && group_fields.first.respond_to?(:to_sym) association = relation.klass._reflect_on_association(group_fields.first) # Like ActiveRecord's group(:association).count behavior, this only works with belongs_to associations next [Array(association.foreign_key), association] if association&.belongs_to? end [group_fields, nil] end has_base_groups = base_groups.any? raise Unsummarizable, "`summarize` must be pure when called on a grouped relation" if pure == false && has_base_groups raise ArgumentError, "`summarize(noop: true)` is impossible on a grouped relation" if noop && has_base_groups @pure = has_base_groups || !!pure @calculations = [] end |
Instance Attribute Details
#base_association ⇒ Object (readonly)
Returns the value of attribute base_association.
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# File 'lib/activerecord/summarize.rb', line 10 def base_association @base_association end |
#base_groups ⇒ Object (readonly)
Returns the value of attribute base_groups.
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# File 'lib/activerecord/summarize.rb', line 10 def base_groups @base_groups end |
#current_result_row ⇒ Object (readonly)
Returns the value of attribute current_result_row.
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# File 'lib/activerecord/summarize.rb', line 10 def current_result_row @current_result_row end |
#from_where ⇒ Object (readonly)
Returns the value of attribute from_where.
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# File 'lib/activerecord/summarize.rb', line 10 def from_where @from_where end |
#noop ⇒ Object (readonly) Also known as: noop?
Returns the value of attribute noop.
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# File 'lib/activerecord/summarize.rb', line 10 def noop @noop end |
#pure ⇒ Object (readonly) Also known as: pure?
Returns the value of attribute pure.
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# File 'lib/activerecord/summarize.rb', line 10 def pure @pure end |
Instance Method Details
#add_calculation(relation, operation, column_name) ⇒ Object
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# File 'lib/activerecord/summarize.rb', line 133 def add_calculation(relation, operation, column_name) merge_from_where!(relation) calculation = CalculationResult.new(relation, operation, column_name) index = @calculations.size @calculations << calculation ChainableResult.wrap(calculation) { current_result_row[index] } end |
#process(&block) ⇒ Object
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# File 'lib/activerecord/summarize.rb', line 50 def process(&block) # For noop, just yield the original relation and a transparent `with_resolved` proc. return yield(@relation, ChainableResult::SYNC_WITH_RESOLVED) if noop? # Within the block, the relation and its future clones intercept calls to # `count` and `sum`, registering them and returning a ChainableResult via # summarize.add_calculation. future_block_result = ChainableResult.wrap(yield( @relation.unscope(:group).tap do |r| r.instance_variable_set(:@summarize, self) class << r include InstanceMethods end end, ChainableResult::WITH_RESOLVED )) ChainableResult.with_cache(!pure?) do # `resolve` builds the single query that answers all collected calculations, # executes it, and aggregates the results by the values of `base_groups`. # In the common case of no `base_groups`, the resolve returns: # `{[]=>[*final_value_for_each_calculation]}` result = resolve.transform_values! do |row| # Each row (in the common case, only one) is used to resolve any # ChainableResults returned by the block. These may be a one-to-one mapping, # or the block return may have combined some results via `with`, chained # additional methods on results, etc.. @current_result_row = row future_block_result.value end.then do |result| # Now unpack/fix-up the result keys to match shape of Relation.count or Relation.group(*cols).count return values if base_groups.empty? # Change ungrouped result from `{[]=>v}` to `v`, like Relation.count result.values.first elsif base_association # Change grouped-by-one-belongs_to-association result from `{[id1]=>v1,[id2]=>v2,...}` to # `{<AssociatedModel id:id1>=>v1,<AssociatedModel id:id2>=>v2,...}` like Relation.group(:association).count # Loosely based on a bit from ActiveRecord::Calculations.execute_grouped_calculation, # retrieve the records for the group association and replace the keys of our final result. key_class = base_association.klass.base_class key_records = key_class .where(key_class.primary_key => result.keys.flatten) .index_by(&:id) result.transform_keys! { |k| key_records[k[0]] } elsif base_groups.size == 1 # Change grouped-by-one-column result from `{[k1]=>v1,[k2]=>v2,...}` to `{k1=>v1,k2=>v2,...}`, like Relation.group(:column).count result.transform_keys! { |k| k[0] } else # Multiple-column base grouping (though perhaps relatively rare) requires no change. result end end if !pure? # Check block scope's local vars and block's self's instance vars for # any ChainableResult, and replace it with its resolved value. # # Also check the values of any of those vars that are Hashes, since IME # it's not rare to assign counts to hashes, and it is rare to have giant # hashes that would be particularly wasteful to traverse. Do not do the # same for Arrays, since IME pushing counts to arrays is rare, and large # arrays, e.g., of many eagerly-fetched ActiveRecord objects, are not # rare in controllers. # # Preconditions: # - @current_result_row is still set to the single result row # - we are within a ChainableResult.with_cache(true) block block_binding = block.binding block_self = block_binding.receiver block_binding.local_variables.each do |k| v = block_binding.local_variable_get(k) next block_binding.local_variable_set(k, v.value) if v.is_a?(ChainableResult) lightly_touch_impure_hash(v) if v.is_a?(Hash) end block_self.instance_variables.each do |k| v = block_self.instance_variable_get(k) next block_self.instance_variable_set(k, v.value) if v.is_a?(ChainableResult) lightly_touch_impure_hash(v) if v.is_a?(Hash) end end @current_result_row = nil result end end |
#resolve ⇒ Object
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# File 'lib/activerecord/summarize.rb', line 141 def resolve # Build & execute query groups = all_groups # MariaDB, SQLite, and Postgres all support `GROUP BY 1, 2, 3`-style syntax, # where the numbers are 1-indexed references to SELECT values. It makes these # generated queries much shorter and more readable, and it avoids the # ambiguity of using aliases (for GROUP BY, they can get clobbered by columns # from underlying tables) even where those are supported. But in case we find # a database that doesn't support numeric references, the fully-explicit # grouping code is commented out below. # # grouped_query = groups.any? ? from_where.group(*groups) : from_where grouped_query = groups.any? ? from_where.group(*1..groups.size) : from_where data = grouped_query.pluck(*groups, *value_selects) # .pluck(:one_column) returns an array of values instead of an array of arrays, # which breaks the aggregation and assignment below in case anyone ever asks # `summarize` for only one thing. data = data.map { |d| [d] } if (groups.size + value_selects.size) == 1 # Aggregate & assign results group_idx = groups.each_with_index.to_h starting_values, reducers = @calculations.each_with_index.map do |f, i| value_column = groups.size + i group_columns = f.relation.group_values.map { |k| group_idx[k] } # `row[value_column] || 0` pattern in reducers because SQL SUM(NULL) # returns NULL, but like ActiveRecord we always want .sum to return a # number, and our "starting_values and reducers" implementation means # we sometimes will have to add NULL to our numbers. case group_columns.size when 0 then [ 0, ->(memo, row) { memo + (row[value_column] || 0) } ] when 1 then [ Hash.new(0), # Default 0 makes the reducer much cleaner, but we have to clean it up later ->(memo, row) { memo[row[group_columns[0]]] += row[value_column] unless (row[value_column] || 0).zero? memo } ] else [ Hash.new(0), ->(memo, row) { memo[group_columns.map { |i| row[i] }] += row[value_column] unless (row[value_column] || 0).zero? memo } ] end end.transpose # For an array of pairs, `transpose` is the reverse of `zip` cols = (0...reducers.size) base_group_columns = (0...base_groups.size) data .group_by { |row| row[base_group_columns] } .tap { |h| h[[]] = [] if h.empty? && base_groups.empty? } .transform_values! do |rows| values = starting_values.map(&:dup) # map(&:dup) since some are hashes and we don't want to mutate starting_values rows.each do |row| cols.each do |i| values[i] = reducers[i].call(values[i], row) end end # Set any hash's default back to nil, since callers will expect a normal hash values.each { |v| v.default = nil if v.is_a? Hash } end end |