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**.
		
			
				
	
	
		
			35 lines
		
	
	
		
			1.5 KiB
		
	
	
	
		
			SQL
		
	
	
	
	
	
			
		
		
	
	
			35 lines
		
	
	
		
			1.5 KiB
		
	
	
	
		
			SQL
		
	
	
	
	
	
SELECT
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  account_id,
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  sum(rank) AS rank,
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  array_agg(reason) AS reason
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FROM (
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  SELECT
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    account_summaries.account_id AS account_id,
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    count(follows.id) / (1.0 + count(follows.id)) AS rank,
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    'most_followed' AS reason
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  FROM follows
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  INNER JOIN account_summaries ON account_summaries.account_id = follows.target_account_id
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  INNER JOIN users ON users.account_id = follows.account_id
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  LEFT OUTER JOIN follow_recommendation_suppressions ON follow_recommendation_suppressions.account_id = follows.target_account_id
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  WHERE users.current_sign_in_at >= (now() - interval '30 days')
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    AND account_summaries.sensitive = 'f'
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    AND follow_recommendation_suppressions.id IS NULL
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  GROUP BY account_summaries.account_id
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  HAVING count(follows.id) >= 5
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  UNION ALL
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  SELECT account_summaries.account_id AS account_id,
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         sum(reblogs_count + favourites_count) / (1.0 + sum(reblogs_count + favourites_count)) AS rank,
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         'most_interactions' AS reason
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  FROM status_stats
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  INNER JOIN statuses ON statuses.id = status_stats.status_id
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  INNER JOIN account_summaries ON account_summaries.account_id = statuses.account_id
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  LEFT OUTER JOIN follow_recommendation_suppressions ON follow_recommendation_suppressions.account_id = statuses.account_id
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  WHERE statuses.id >= ((date_part('epoch', now() - interval '30 days') * 1000)::bigint << 16)
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    AND account_summaries.sensitive = 'f'
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    AND follow_recommendation_suppressions.id IS NULL
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  GROUP BY account_summaries.account_id
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  HAVING sum(reblogs_count + favourites_count) >= 5
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) t0
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GROUP BY account_id
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ORDER BY rank DESC
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