method
execute_grouped_calculation
v4.2.7 -
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Class: ActiveRecord::Calculations
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execute_grouped_calculation(operation, column_name, distinct)
private
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# File activerecord/lib/active_record/relation/calculations.rb, line 280 def execute_grouped_calculation(operation, column_name, distinct) #:nodoc: group_attrs = group_values if group_attrs.first.respond_to?(:to_sym) association = @klass._reflect_on_association(group_attrs.first) associated = group_attrs.size == 1 && association && association.belongs_to? # only count belongs_to associations group_fields = Array(associated ? association.foreign_key : group_attrs) else group_fields = group_attrs end group_fields = arel_columns(group_fields) group_aliases = group_fields.map { |field| column_alias_for(field) } group_columns = group_aliases.zip(group_fields).map { |aliaz,field| [aliaz, field] } group = group_fields if operation == 'count' && column_name == :all aggregate_alias = 'count_all' else aggregate_alias = column_alias_for([operation, column_name].join(' ')) end select_values = [ operation_over_aggregate_column( aggregate_column(column_name), operation, distinct).as(aggregate_alias) ] select_values += select_values unless having_values.empty? select_values.concat group_fields.zip(group_aliases).map { |field,aliaz| if field.respond_to?(:as) field.as(aliaz) else "#{field} AS #{aliaz}" end } relation = except(:group) relation.group_values = group relation.select_values = select_values calculated_data = @klass.connection.select_all(relation, nil, relation.arel.bind_values + bind_values) if association key_ids = calculated_data.collect { |row| row[group_aliases.first] } key_records = association.klass.base_class.find(key_ids) key_records = Hash[key_records.map { |r| [r.id, r] }] end Hash[calculated_data.map do |row| key = group_columns.map { |aliaz, col_name| column = calculated_data.column_types.fetch(aliaz) do type_for(col_name) end type_cast_calculated_value(row[aliaz], column) } key = key.first if key.size == 1 key = key_records[key] if associated column_type = calculated_data.column_types.fetch(aggregate_alias) { type_for(column_name) } [key, type_cast_calculated_value(row[aggregate_alias], column_type, operation)] end] end