2022-01-26 12:08:38 +05:30
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# frozen_string_literal: true
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module Gitlab
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module Database
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module Migrations
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# BatchedBackgroundMigrations are a new approach to scheduling and executing background migrations, which uses
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# persistent state in the database to track each migration. This avoids having to batch over an entire table and
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# schedule a large number of sidekiq jobs upfront. It also provides for more flexibility as the migration runs,
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# as it can be paused and restarted, and have configuration values like the batch size updated dynamically as the
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# migration runs.
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#
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# For now, these migrations are not considered ready for general use, for more information see the tracking epic:
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# https://gitlab.com/groups/gitlab-org/-/epics/6751
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module BatchedBackgroundMigrationHelpers
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BATCH_SIZE = 1_000 # Number of rows to process per job
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SUB_BATCH_SIZE = 100 # Number of rows to process per sub-batch
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BATCH_CLASS_NAME = 'PrimaryKeyBatchingStrategy' # Default batch class for batched migrations
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BATCH_MIN_VALUE = 1 # Default minimum value for batched migrations
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BATCH_MIN_DELAY = 2.minutes.freeze # Minimum delay between batched migrations
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# Creates a batched background migration for the given table. A batched migration runs one job
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# at a time, computing the bounds of the next batch based on the current migration settings and the previous
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# batch bounds. Each job's execution status is tracked in the database as the migration runs. The given job
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# class must be present in the Gitlab::BackgroundMigration module, and the batch class (if specified) must be
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# present in the Gitlab::BackgroundMigration::BatchingStrategies module.
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#
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# If migration with same job_class_name, table_name, column_name, and job_aruments already exists, this helper
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# will log an warning and not create a new one.
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#
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# job_class_name - The background migration job class as a string
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# batch_table_name - The name of the table the migration will batch over
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# batch_column_name - The name of the column the migration will batch over
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# job_arguments - Extra arguments to pass to the job instance when the migration runs
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# job_interval - The pause interval between each job's execution, minimum of 2 minutes
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# batch_min_value - The value in the column the batching will begin at
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# batch_max_value - The value in the column the batching will end at, defaults to `SELECT MAX(batch_column)`
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# batch_class_name - The name of the class that will be called to find the range of each next batch
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# batch_size - The maximum number of rows per job
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# sub_batch_size - The maximum number of rows processed per "iteration" within the job
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#
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# *Returns the created BatchedMigration record*
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#
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# Example:
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#
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# queue_batched_background_migration(
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# 'CopyColumnUsingBackgroundMigrationJob',
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# :events,
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# :id,
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# job_interval: 2.minutes,
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# other_job_arguments: ['column1', 'column2'])
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#
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# Where the the background migration exists:
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#
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# class Gitlab::BackgroundMigration::CopyColumnUsingBackgroundMigrationJob
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# def perform(start_id, end_id, batch_table, batch_column, sub_batch_size, *other_args)
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# # do something
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# end
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# end
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def queue_batched_background_migration( # rubocop:disable Metrics/ParameterLists
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job_class_name,
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batch_table_name,
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batch_column_name,
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*job_arguments,
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job_interval:,
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batch_min_value: BATCH_MIN_VALUE,
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batch_max_value: nil,
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batch_class_name: BATCH_CLASS_NAME,
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batch_size: BATCH_SIZE,
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max_batch_size: nil,
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sub_batch_size: SUB_BATCH_SIZE,
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gitlab_schema: nil
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)
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Gitlab::Database::QueryAnalyzers::RestrictAllowedSchemas.require_dml_mode!
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gitlab_schema ||= gitlab_schema_from_context
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Gitlab::Database::BackgroundMigration::BatchedMigration.reset_column_information
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if Gitlab::Database::BackgroundMigration::BatchedMigration.for_configuration(gitlab_schema, job_class_name, batch_table_name, batch_column_name, job_arguments).exists?
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Gitlab::AppLogger.warn "Batched background migration not enqueued because it already exists: " \
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"job_class_name: #{job_class_name}, table_name: #{batch_table_name}, column_name: #{batch_column_name}, " \
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"job_arguments: #{job_arguments.inspect}"
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return
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end
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job_interval = BATCH_MIN_DELAY if job_interval < BATCH_MIN_DELAY
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batch_max_value ||= connection.select_value(<<~SQL)
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SELECT MAX(#{connection.quote_column_name(batch_column_name)})
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FROM #{connection.quote_table_name(batch_table_name)}
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SQL
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status_event = batch_max_value.nil? ? :finish : :execute
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batch_max_value ||= batch_min_value
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migration = Gitlab::Database::BackgroundMigration::BatchedMigration.new(
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job_class_name: job_class_name,
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table_name: batch_table_name,
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column_name: batch_column_name,
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job_arguments: job_arguments,
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interval: job_interval,
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min_value: batch_min_value,
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max_value: batch_max_value,
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batch_class_name: batch_class_name,
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batch_size: batch_size,
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sub_batch_size: sub_batch_size,
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status_event: status_event
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)
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2022-04-04 11:22:00 +05:30
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# Below `BatchedMigration` attributes were introduced after the
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# initial `batched_background_migrations` table was created, so any
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# migrations that ran relying on initial table schema would not know
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# about columns introduced later on because this model is not
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# isolated in migrations, which is why we need to check for existence
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# of these columns first.
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if migration.respond_to?(:max_batch_size)
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migration.max_batch_size = max_batch_size
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end
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if migration.respond_to?(:total_tuple_count)
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# We keep track of the estimated number of tuples to reason later
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# about the overall progress of a migration.
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migration.total_tuple_count = Gitlab::Database::SharedModel.using_connection(connection) do
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Gitlab::Database::PgClass.for_table(batch_table_name)&.cardinality_estimate
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end
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end
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if migration.respond_to?(:gitlab_schema)
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migration.gitlab_schema = gitlab_schema
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end
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migration.save!
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migration
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end
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def finalize_batched_background_migration(job_class_name:, table_name:, column_name:, job_arguments:)
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Gitlab::Database::QueryAnalyzers::RestrictAllowedSchemas.require_dml_mode!
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if transaction_open?
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raise 'The `finalize_batched_background_migration` cannot be run inside a transaction. ' \
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'You can disable transactions by calling `disable_ddl_transaction!` in the body of ' \
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'your migration class.'
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end
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Gitlab::Database::BackgroundMigration::BatchedMigration.reset_column_information
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migration = Gitlab::Database::BackgroundMigration::BatchedMigration.find_for_configuration(
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gitlab_schema_from_context, job_class_name, table_name, column_name, job_arguments)
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raise 'Could not find batched background migration' if migration.nil?
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with_restored_connection_stack do |restored_connection|
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Gitlab::Database::QueryAnalyzers::RestrictAllowedSchemas.with_suppressed do
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Gitlab::Database::BackgroundMigration::BatchedMigrationRunner.finalize(
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job_class_name, table_name,
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column_name, job_arguments,
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connection: restored_connection)
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end
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end
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end
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# Deletes batched background migration for the given configuration.
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#
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# job_class_name - The background migration job class as a string
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# table_name - The name of the table the migration iterates over
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# column_name - The name of the column the migration will batch over
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# job_arguments - Migration arguments
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#
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# Example:
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#
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# delete_batched_background_migration(
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# 'CopyColumnUsingBackgroundMigrationJob',
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# :events,
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# :id,
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# ['column1', 'column2'])
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def delete_batched_background_migration(job_class_name, table_name, column_name, job_arguments)
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Gitlab::Database::QueryAnalyzers::RestrictAllowedSchemas.require_dml_mode!
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Gitlab::Database::BackgroundMigration::BatchedMigration.reset_column_information
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Gitlab::Database::BackgroundMigration::BatchedMigration
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.for_configuration(
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gitlab_schema_from_context, job_class_name, table_name, column_name, job_arguments
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).delete_all
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end
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def gitlab_schema_from_context
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if respond_to?(:allowed_gitlab_schemas) # Gitlab::Database::Migration::V2_0
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Array(allowed_gitlab_schemas).first
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else # Gitlab::Database::Migration::V1_0
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:gitlab_main
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end
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end
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end
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end
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end
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end
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