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