debian-mirror-gitlab/lib/gitlab/database/background_migration/batched_migration_runner.rb

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# frozen_string_literal: true
module Gitlab
module Database
module BackgroundMigration
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class BatchedMigrationRunner
def initialize(migration_wrapper = BatchedMigrationWrapper.new)
@migration_wrapper = migration_wrapper
end
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# Runs the next batched_job for a batched_background_migration.
#
# The batch bounds of the next job are calculated at runtime, based on the migration
# configuration and the bounds of the most recently created batched_job. Updating the
# migration configuration will cause future jobs to use the updated batch sizes.
#
# The job instance will automatically receive a set of arguments based on the migration
# configuration. For more details, see the BatchedMigrationWrapper class.
#
# Note that this method is primarily intended to called by a scheduled worker.
def run_migration_job(active_migration)
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if next_batched_job = find_or_create_next_batched_job(active_migration)
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migration_wrapper.perform(next_batched_job)
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active_migration.optimize!
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else
finish_active_migration(active_migration)
end
end
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# Runs all remaining batched_jobs for a batched_background_migration.
#
# This method is intended to be used in a test/dev environment to execute the background
# migration inline. It should NOT be used in a real environment for any non-trivial migrations.
def run_entire_migration(migration)
unless Rails.env.development? || Rails.env.test?
raise 'this method is not intended for use in real environments'
end
while migration.active?
run_migration_job(migration)
migration.reload_last_job
end
end
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private
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attr_reader :migration_wrapper
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def find_or_create_next_batched_job(active_migration)
if next_batch_range = find_next_batch_range(active_migration)
active_migration.create_batched_job!(next_batch_range.min, next_batch_range.max)
else
active_migration.batched_jobs.retriable.first
end
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end
def find_next_batch_range(active_migration)
batching_strategy = active_migration.batch_class.new
batch_min_value = active_migration.next_min_value
next_batch_bounds = batching_strategy.next_batch(
active_migration.table_name,
active_migration.column_name,
batch_min_value: batch_min_value,
batch_size: active_migration.batch_size)
return if next_batch_bounds.nil?
clamped_batch_range(active_migration, next_batch_bounds)
end
def clamped_batch_range(active_migration, next_bounds)
min_value, max_value = next_bounds
return if min_value > active_migration.max_value
max_value = max_value.clamp(min_value, active_migration.max_value)
(min_value..max_value)
end
def finish_active_migration(active_migration)
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return if active_migration.batched_jobs.active.exists?
if active_migration.batched_jobs.failed.exists?
active_migration.failed!
else
active_migration.finished!
end
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end
end
end
end
end