小编bl0*_*l0b的帖子

所以我有这个包含 620 万条记录的表，我必须对列执行具有相似性的搜索查询。查询可以是：

 SELECT  "lca_test".* FROM "lca_test"
 WHERE (similarity(job_title, 'sales executive') > 0.6)
 AND worksite_city = 'los angeles' 
 ORDER BY salary ASC LIMIT 50 OFFSET 0

可以在 where(year = X, worksite_state = N, status = 'certified',visa_class = Z) 中添加更多条件。

运行其中一些查询可能需要很长时间，超过 30 秒。有时超过一分钟。

EXPLAIN ANALYZE 前面提到的查询给了我这个：

Limit  (cost=0.43..42523.04 rows=50 width=254) (actual time=9070.268..33487.734 rows=2 loops=1)
->  Index Scan using index_lca_test_on_salary on lca_test  (cost=0.43..23922368.16 rows=28129 width=254) (actual time=9070.265..33487.727 rows=2 loops=1)
>>>> Filter: (((worksite_city)::text = 'los angeles'::text) AND (similarity((job_title)::text, 'sales executive'::text) > 0.6::double precision)) …

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