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Express follow_recommendations in terms of account_summaries rather than accounts, integrate filters that are unconditionally used, and materialize the resulting view. This should result in the bulk of the computation being performed only once instead of **once per recommendation language**.
63 lines
1.8 KiB
Ruby
63 lines
1.8 KiB
Ruby
# frozen_string_literal: true
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class Scheduler::FollowRecommendationsScheduler
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include Sidekiq::Worker
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include Redisable
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sidekiq_options retry: 0
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# The maximum number of accounts that can be requested in one page from the
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# API is 80, and the suggestions API does not allow pagination. This number
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# leaves some room for accounts being filtered during live access
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SET_SIZE = 100
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def perform
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# Maintaining a materialized view speeds-up subsequent queries significantly
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AccountSummary.refresh
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FollowRecommendation.refresh
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fallback_recommendations = FollowRecommendation.limit(SET_SIZE).index_by(&:account_id)
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I18n.available_locales.each do |locale|
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recommendations = begin
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if AccountSummary.safe.filtered.localized(locale).exists? # We can skip the work if no accounts with that language exist
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FollowRecommendation.localized(locale).limit(SET_SIZE).index_by(&:account_id)
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else
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{}
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end
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end
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# Use language-agnostic results if there are not enough language-specific ones
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missing = SET_SIZE - recommendations.keys.size
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if missing.positive?
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added = 0
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# Avoid duplicate results
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fallback_recommendations.each_value do |recommendation|
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next if recommendations.key?(recommendation.account_id)
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recommendations[recommendation.account_id] = recommendation
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added += 1
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break if added >= missing
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end
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end
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redis.pipelined do
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redis.del(key(locale))
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recommendations.each_value do |recommendation|
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redis.zadd(key(locale), recommendation.rank, recommendation.account_id)
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end
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end
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end
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end
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private
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def key(locale)
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"follow_recommendations:#{locale}"
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end
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end
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