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不是SQL專家,但我設法使這個查詢工作,並提供我需要的結果。訣竅是獲得它的表現。這兩張桌子都會有大約6百萬條記錄。它目前運行時間約3分鐘,這是我需要的方式。Postgres多個聯接
SELECT p.id,
match.weight
FROM store_promotions p
LEFT JOIN
(SELECT *
FROM
(SELECT id,
(facets.weight::int * 1.5) AS weight
FROM store_promotions promos
JOIN -- this will return all promos, but add weight of 1.5 to the ones that are better matched to customer
(SELECT (jsonb_array_elements(product) ->> 'key') AS barcode,
(jsonb_array_elements(product) ->> 'doc_count') AS weight
FROM customer_transaction_facets
WHERE account_id = '1234567890') facets ON promos.products @> to_jsonb(facets.barcode::text)
UNION SELECT id,
(facets.weight::int * .75) AS weight -- this will return all promos, but add weight of .75 for department matches to the ones that are better matched to customer
FROM store_promotions promos
JOIN
(SELECT (jsonb_array_elements(department) ->> 'key') AS department,
(jsonb_array_elements(department) ->> 'doc_count') AS weight
FROM customer_transaction_facets
WHERE account_id = '1234567890') facets ON promos.departments @> to_jsonb(facets.department::text)) matches) AS MATCH ON p.id = match.id WHERE storeid = '637'