# frozen_string_literal: true module Gitlab module Database module Migrations class TestBatchedBackgroundRunner < BaseBackgroundRunner include Gitlab::Database::DynamicModelHelpers def initialize(result_dir:, connection:, from_id:) super(result_dir: result_dir, connection: connection) @connection = connection @from_id = from_id end def jobs_by_migration_name set_shared_model_connection do Gitlab::Database::BackgroundMigration::BatchedMigration .executable .where('id > ?', from_id) .to_h do |migration| batching_strategy = migration.batch_class.new(connection: connection) smallest_batch_start = migration.next_min_value table_max_value = define_batchable_model(migration.table_name, connection: connection) .maximum(migration.column_name) largest_batch_start = table_max_value - migration.batch_size # variance is the portion of the batch range that we shrink between variance * 0 and variance * 1 # to pick actual batches to sample. variance = largest_batch_start - smallest_batch_start batch_starts = uniform_fractions .lazy # frac varies from 0 to 1, values in smallest_batch_start..largest_batch_start .map { |frac| (variance * frac).to_i + smallest_batch_start } # Track previously run batches so that we stop sampling if a new batch would intersect an older one completed_batches = [] jobs_to_sample = batch_starts # Stop sampling if a batch would intersect a previous batch .take_while { |start| completed_batches.none? { |batch| batch.cover?(start) } } .map do |batch_start| # The current block is lazily evaluated as part of the jobs_to_sample enumerable # so it executes after the enclosing using_connection block has already executed # Therefore we need to re-associate with the explicit connection again Gitlab::Database::SharedModel.using_connection(connection) do next_bounds = batching_strategy.next_batch( migration.table_name, migration.column_name, batch_min_value: batch_start, batch_size: migration.batch_size, job_arguments: migration.job_arguments ) batch_min, batch_max = next_bounds job = migration.create_batched_job!(batch_min, batch_max) completed_batches << (batch_min..batch_max) job end end [migration.job_class_name, jobs_to_sample] end end end def run_job(job) set_shared_model_connection do Gitlab::Database::BackgroundMigration::BatchedMigrationWrapper.new(connection: connection).perform(job) end end def uniform_fractions Enumerator.new do |y| # Generates equally distributed fractions between 0 and 1, with increasing detail as more are pulled from # the enumerator. # 0, 1 (special case) # 1/2 # 1/4, 3/4 # 1/8, 3/8, 5/8, 7/8 # etc. # The pattern here is at each outer loop, the denominator multiplies by 2, and at each inner loop, # the numerator counts up all odd numbers 1 <= n < denominator. y << 0 y << 1 # denominators are each increasing power of 2 denominators = (1..).lazy.map { |exponent| 2**exponent } denominators.each do |denominator| # Numerators at the current step are all odd numbers between 1 and the denominator numerators = (1..denominator).step(2) numerators.each do |numerator| next_frac = numerator.fdiv(denominator) y << next_frac end end end end private attr_reader :from_id def set_shared_model_connection(&block) Gitlab::Database::SharedModel.using_connection(connection, &block) end def migration_meta(job) set_shared_model_connection do job.batched_migration.slice(:max_batch_size, :total_tuple_count, :interval) end end end end end end