需要减少postgres中的查询优化时间

问题描述

用例：需要在表中找到特定ID的索引和totalCount

我有一个表an_details，该表具有6000万条记录，并且根据条件需要检索行以及该ID的索引

with a as (
    select an.id,row_number() over (partition by created_at) as rn
    from annotation an
    where ( an.layer_id = '47afb169-aed2-4378-ab13-897836275da3' or an.job_id = '' or an.task_id = '') and
     an.category_id in (10019)

) select (select count(1) from a ) as totalCount,rn-1 as index from a where a.id= '47afb169-aed2-4378-ab13-897836275da3_a93f0758-8fe0-4c76-992f-0be17e5618bf_484484101';

输出：

totalCount index
1797124,1791143

执行时间：5秒487毫秒

解释和分析

CTE Scan on a  (cost=872778.54..907545.00 rows=7722 width=16) (actual time=5734.572..5735.989 rows=1 loops=1)
  Filter: ((id)::text = '47afb169-aed2-4378-ab13-897836275da3_a93f0758-8fe0-4c76-992f-0be17e5618bf_484484101'::text)
  Rows Removed by Filter: 1797123
  CTE a
    ->  WindowAgg  (cost=0.68..838031.38 rows=1544318 width=97) (actual time=133.660..3831.998 rows=1797124 loops=1)
          ->  Index Only Scan using test_index_test_2 on annotation an  (cost=0.68..814866.61 rows=1544318 width=89) (actual time=133.647..2660.009 rows=1797124 loops=1)
                Index Cond: (category_id = 10019)
                Filter: (((layer_id)::text = '47afb169-aed2-4378-ab13-897836275da3'::text) OR ((job_id)::text = ''::text) OR ((task_id)::text = ''::text))
                Rows Removed by Filter: 3773007
                Heap Fetches: 101650
  InitPlan 2 (returns $1)
    ->  Aggregate  (cost=34747.15..34747.17 rows=1 width=8) (actual time=2397.391..2397.392 rows=1 loops=1)
          ->  CTE Scan on a a_1  (cost=0.00..30886.36 rows=1544318 width=0) (actual time=0.017..2156.210 rows=1797124 loops=1)
Planning time: 0.487 ms
Execution time: 5771.080 ms

索引：

CREATE INDEX test_index_test_2 ON public.annotation USING btree (category_id,created_at,layer_id,job_id,task_id,id);

从应用程序中，我们将传递job_id或task_id或layer_id，其余2将作为空传递

需要帮助优化查询以在2秒内获得响应

查询计划：https://explain.depesz.com/s/mXme

解决方法

暂无找到可以解决该程序问题的有效方法，小编努力寻找整理中！

如果你已经找到好的解决方法，欢迎将解决方案带上本链接一起发送给小编。

小编邮箱:dio#foxmail.com (将#修改为@）

postgresql-10 query-optimization query-performance