debian-mirror-gitlab/lib/gitlab/database/background_migration/batched_migration.rb
2023-06-20 00:43:36 +05:30

270 lines
8.7 KiB
Ruby

# frozen_string_literal: true
module Gitlab
module Database
module BackgroundMigration
class BatchedMigration < SharedModel
JOB_CLASS_MODULE = 'Gitlab::BackgroundMigration'
BATCH_CLASS_MODULE = "#{JOB_CLASS_MODULE}::BatchingStrategies"
MAXIMUM_FAILED_RATIO = 0.5
MINIMUM_JOBS = 50
FINISHED_PROGRESS_VALUE = 100
self.table_name = :batched_background_migrations
has_many :batched_jobs, foreign_key: :batched_background_migration_id
has_one :last_job, -> { order(max_value: :desc) },
class_name: 'Gitlab::Database::BackgroundMigration::BatchedJob',
foreign_key: :batched_background_migration_id
validates :job_arguments, uniqueness: {
scope: [:job_class_name, :table_name, :column_name]
}
validate :validate_batched_jobs_status, if: -> { status_changed? && finished? }
scope :queue_order, -> { order(id: :asc) }
scope :queued, -> { with_statuses(:active, :paused) }
scope :finalizing, -> { with_status(:finalizing) }
scope :ordered_by_created_at_desc, -> { order(created_at: :desc) }
# on_hold_until is a temporary runtime status which puts execution "on hold"
scope :executable, -> { with_status(:active).where('on_hold_until IS NULL OR on_hold_until < NOW()') }
scope :created_after, ->(time) { where('created_at > ?', time) }
scope :for_configuration, ->(gitlab_schema, job_class_name, table_name, column_name, job_arguments) do
relation = where(job_class_name: job_class_name, table_name: table_name, column_name: column_name)
.where("job_arguments = ?", job_arguments.to_json) # rubocop:disable Rails/WhereEquals
# This method is called from migrations older than the gitlab_schema column,
# check and add this filter only if the column exists.
relation = relation.for_gitlab_schema(gitlab_schema) if gitlab_schema_column_exists?
relation
end
def self.gitlab_schema_column_exists?
column_names.include?('gitlab_schema')
end
scope :for_gitlab_schema, ->(gitlab_schema) do
where(gitlab_schema: gitlab_schema)
end
state_machine :status, initial: :paused do
state :paused, value: 0
state :active, value: 1
state :finished, value: 3
state :failed, value: 4
state :finalizing, value: 5
event :pause do
transition [:active, :paused] => :paused
end
event :execute do
transition [:active, :paused, :failed] => :active
end
event :finish do
transition [:paused, :finished, :active, :finalizing] => :finished
end
event :failure do
transition [:failed, :finalizing, :active] => :failed
end
event :finalize do
transition any => :finalizing
end
before_transition any => :active do |migration|
migration.started_at = Time.current if migration.respond_to?(:started_at)
end
end
def self.valid_status
state_machine.states.map(&:name)
end
def self.find_for_configuration(gitlab_schema, job_class_name, table_name, column_name, job_arguments)
for_configuration(gitlab_schema, job_class_name, table_name, column_name, job_arguments).first
end
def self.active_migration(connection:)
active_migrations_distinct_on_table(connection: connection, limit: 1).first
end
def self.find_executable(id, connection:)
for_gitlab_schema(Gitlab::Database.gitlab_schemas_for_connection(connection))
.executable.find_by_id(id)
end
def self.active_migrations_distinct_on_table(connection:, limit:)
distinct_on_table = select('DISTINCT ON (table_name) id')
.for_gitlab_schema(Gitlab::Database.gitlab_schemas_for_connection(connection))
.executable
.order(table_name: :asc, id: :asc)
where(id: distinct_on_table).queue_order.limit(limit)
end
def self.successful_rows_counts(migrations)
BatchedJob
.with_status(:succeeded)
.where(batched_background_migration_id: migrations)
.group(:batched_background_migration_id)
.sum(:batch_size)
end
def reset_attempts_of_blocked_jobs!
batched_jobs.blocked_by_max_attempts.each_batch(of: 100) do |batch|
batch.update_all(attempts: 0)
end
end
def interval_elapsed?(variance: 0)
return true unless last_job
interval_with_variance = interval - variance
last_job.created_at <= Time.current - interval_with_variance
end
def create_batched_job!(min, max)
batched_jobs.create!(
min_value: min,
max_value: max,
batch_size: batch_size,
sub_batch_size: sub_batch_size,
pause_ms: pause_ms
)
end
def retry_failed_jobs!
batched_jobs.with_status(:failed).each_batch(of: 100) do |batch|
self.class.transaction do
batch.lock.each(&:split_and_retry!)
self.execute!
end
end
self.execute!
end
def should_stop?
return unless started_at
total_jobs = batched_jobs.created_since(started_at).count
return if total_jobs < MINIMUM_JOBS
failed_jobs = batched_jobs.with_status(:failed).created_since(started_at).count
failed_jobs.fdiv(total_jobs) > MAXIMUM_FAILED_RATIO
end
def next_min_value
last_job&.max_value&.next || min_value
end
def job_class
"#{JOB_CLASS_MODULE}::#{job_class_name}".constantize
end
def batch_class
"#{BATCH_CLASS_MODULE}::#{batch_class_name}".constantize
end
def job_class_name=(class_name)
write_attribute(:job_class_name, class_name.delete_prefix("::"))
end
def batch_class_name=(class_name)
write_attribute(:batch_class_name, class_name.delete_prefix("::"))
end
def migrated_tuple_count
batched_jobs.with_status(:succeeded).sum(:batch_size)
end
def prometheus_labels
@prometheus_labels ||= {
migration_id: id,
migration_identifier: "%s/%s.%s" % [job_class_name, table_name, column_name]
}
end
def smoothed_time_efficiency(number_of_jobs: 10, alpha: 0.2)
jobs = batched_jobs.successful_in_execution_order.reverse_order.limit(number_of_jobs).with_preloads
return if jobs.size < number_of_jobs
efficiencies = jobs.map(&:time_efficiency).reject(&:nil?).each_with_index
dividend = efficiencies.reduce(0) do |total, (job_eff, i)|
total + job_eff * (1 - alpha)**i
end
divisor = efficiencies.reduce(0) do |total, (job_eff, i)|
total + (1 - alpha)**i
end
return if divisor == 0
(dividend / divisor).round(2)
end
def optimize!
BatchOptimizer.new(self).optimize!
end
def health_context
HealthStatus::Context.new(connection, [table_name], gitlab_schema.to_sym)
end
def hold!(until_time: 10.minutes.from_now)
duration_s = (until_time - Time.current).round
Gitlab::AppLogger.info(
message: "#{self} put on hold until #{until_time}",
migration_id: id,
job_class_name: job_class_name,
duration_s: duration_s
)
update!(on_hold_until: until_time)
end
def on_hold?
return false unless on_hold_until
on_hold_until > Time.zone.now
end
def to_s
"BatchedMigration[id: #{id}]"
end
# Computes an estimation of the progress of the migration in percents.
#
# Because `total_tuple_count` is an estimation of the tuples based on DB statistics
# when the migration is complete there can actually be more or less tuples that initially
# estimated as `total_tuple_count` so the progress may not show 100%. For that reason when
# we know migration completed successfully, we just return the 100 value
def progress
return FINISHED_PROGRESS_VALUE if finished?
return unless total_tuple_count.to_i > 0
100 * migrated_tuple_count / total_tuple_count
end
private
def validate_batched_jobs_status
errors.add(:batched_jobs, 'jobs need to be succeeded') if batched_jobs.except_succeeded.exists?
end
end
end
end
end