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# frozen_string_literal: true
module Gitlab
module BackgroundMigration
module BatchingStrategies
# Generic batching class for use with a BatchedBackgroundMigration.
# Batches over the given table and column combination, returning the MIN() and MAX()
# values for the next batch as an array.
#
# If no more batches exist in the table, returns nil.
class PrimaryKeyBatchingStrategy < BaseStrategy
include Gitlab::Database::DynamicModelHelpers
# Finds and returns the next batch in the table.
#
# table_name - The table to batch over
# column_name - The column to batch over
# batch_min_value - The minimum value which the next batch will start at
# batch_size - The size of the next batch
# job_arguments - The migration job arguments
# job_class - The migration job class
def next_batch(table_name, column_name, batch_min_value:, batch_size:, job_arguments:, job_class: nil)
model_class = define_batchable_model(table_name, connection: connection)
quoted_column_name = model_class.connection.quote_column_name(column_name)
relation = model_class.where("#{quoted_column_name} >= ?", batch_min_value)
if job_class
relation = filter_batch(relation,
table_name: table_name, column_name: column_name,
job_class: job_class, job_arguments: job_arguments
)
end
relation = apply_additional_filters(relation, job_arguments: job_arguments, job_class: job_class)
next_batch_bounds = nil
relation.each_batch(of: batch_size, column: column_name) do |batch| # rubocop:disable Lint/UnreachableLoop
next_batch_bounds = batch.pick(Arel.sql("MIN(#{quoted_column_name}), MAX(#{quoted_column_name})"))
break
end
next_batch_bounds
end
# Deprecated
#
# Use `scope_to` to define additional filters on the migration job class.
#
# see https://docs.gitlab.com/ee/development/database/batched_background_migrations.html#adding-additional-filters.
def apply_additional_filters(relation, job_arguments: [], job_class: nil)
relation
end
private
def filter_batch(relation, table_name:, column_name:, job_class:, job_arguments: [])
return relation unless job_class.respond_to?(:generic_instance)
job = job_class.generic_instance(
batch_table: table_name, batch_column: column_name,
job_arguments: job_arguments, connection: connection
)
job.filter_batch(relation)
end
end
end
end
end
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