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# frozen_string_literal: true
module Gitlab
module Database
module BackgroundMigration
# This is an optimizer for throughput of batched migration jobs
#
# The underyling mechanic is based on the concept of time efficiency:
# time efficiency = job duration / interval
# Ideally, this is close but lower than 1 - so we're using time efficiently.
#
# We aim to land in the 90%-98% range, which gives the database a little breathing room
# in between.
#
# The optimizer is based on calculating the exponential moving average of time efficiencies
# for the last N jobs. If we're outside the range, we add 10% to or decrease by 20% of the batch size.
class BatchOptimizer
# Target time efficiency for a job
# Time efficiency is defined as: job duration / interval
TARGET_EFFICIENCY = (0.9..0.95).freeze
# Lower and upper bound for the batch size
MIN_BATCH_SIZE = 1_000
MAX_BATCH_SIZE = 2_000_000
# Limit for the multiplier of the batch size
MAX_MULTIPLIER = 1.2
# When smoothing time efficiency, use this many jobs
NUMBER_OF_JOBS = 20
# Smoothing factor for exponential moving average
EMA_ALPHA = 0.4
attr_reader :migration, :number_of_jobs, :ema_alpha
def initialize(migration, number_of_jobs: NUMBER_OF_JOBS, ema_alpha: EMA_ALPHA)
@migration = migration
@number_of_jobs = number_of_jobs
@ema_alpha = ema_alpha
end
def optimize!
return unless Feature.enabled?(:optimize_batched_migrations, type: :ops)
if multiplier = batch_size_multiplier
max_batch = migration.max_batch_size || MAX_BATCH_SIZE
migration.batch_size = (migration.batch_size * multiplier).to_i.clamp(MIN_BATCH_SIZE, max_batch)
migration.save!
end
end
private
def batch_size_multiplier
efficiency = migration.smoothed_time_efficiency(number_of_jobs: number_of_jobs, alpha: ema_alpha)
return if efficiency.nil? || efficiency == 0
# We hit the range - no change
return if TARGET_EFFICIENCY.include?(efficiency)
# Assumption: time efficiency is linear in the batch size
[TARGET_EFFICIENCY.max / efficiency, MAX_MULTIPLIER].min
end
end
end
end
end
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