我们有一个这样的查询。
SELECT DISTINCT table_a.userid AS userId,
table_a.screenname AS screenName,
FROM table_a
LEFT JOIN table_b
ON ( table_a.userid = table_b.userid )
WHERE ( table_b.organizationid IS NULL )
AND ( table_a.companyid = '20002' )
AND ( table_a.defaultuser = 'f' )
AND ( ( Lower(table_a.firstname) LIKE '%7189%'
AND '%7189%' IS NOT NULL )
OR ( Lower(table_a.middlename) LIKE '%7189%'
AND '%7189%' IS NOT NULL )
OR ( Lower(table_a.lastname) LIKE '%7189%'
AND '%7189%' IS NOT NULL )
OR ( Lower(table_a.screenname) LIKE '%7189%'
AND '%7189%' IS NOT NULL )
OR ( Lower(table_a.emailaddress) LIKE '%7189%'
AND '%7189%' IS NOT NULL ) )
AND ( table_a.status = '0' )
table_b.organizationid具有not NULL约束,因此table_b.organizationid不为NULL等于1=2,但postgres仍然执行查询的剩余部分,创建临时表并在15秒后返回零行。
如果不更改查询,是否可以提高此查询的性能。
DB版本是9.1,但9.3也有相同的行为。
Postgres版本:PostgreSQL 9.1.14,在x86_64-unknown-linux-gnu上,由gcc(Ubuntu/Linaro 4.6.3-1ubuntu5)4.6.3编译,64位
表a有230万行
表b有540万行
表a有40列(太多,无法在此列出)
表b有两列
Column | Type | Modifiers
----------------+--------+-----------
userid | bigint | not null
organizationid | bigint | not null
Indexes:
"table_b_pkey" PRIMARY KEY, btree (userid, organizationid)
"ix_7ef4ec0e" btree (organizationid)
"ix_fb646ca6" btree (userid)
解释计划
HashAggregate (cost=638937.42..638937.43 rows=1 width=72) (actual time=21386.436..21386.436 rows=0 loops=1)
-> Hash Right Join (cost=443599.10..638937.40 rows=1 width=72) (actual time=21386.433..21386.433 rows=0 loops=1)
Hash Cond: (table_b.userid = table_a.userid)
Filter: (table_b.organizationid IS NULL)
-> Seq Scan on table_b (cost=0.00..95488.04 rows=6020704 width=16) (actual time=0.009..4158.880 rows=5497919 loops=1)
-> Hash (cost=441059.52..441059.52 rows=104846 width=72) (actual time=12356.795..12356.795 rows=215 loops=1)
Buckets: 16384 Batches: 2 Memory Usage: 12kB
-> Seq Scan on table_a (cost=0.00..441059.52 rows=104846 width=72) (actual time=43.250..12355.735 rows=215 loops=1)
Filter: ((NOT defaultuser) AND (companyid = 20002::bigint) AND (status = 0) AND ((lower((firstname)::text) ~~ '%7189%'::text) OR (lower((middlename)::text) ~~ '%7189%'::text) OR (lower((lastname)::text) ~~ '%7189%'::text) OR (lower((screenname)::text) ~~ '%7189%'::text) OR (lower((emailaddress)::text) ~~ '%7189%'::text)))
Total runtime: 21386.608 ms
(10 rows)
--萨梅尔
最佳答案
我知道你不想重写查询。但查询重写对计划员有很大帮助。我会把这个问题写成:SELECT DISTINCT table_a.userid AS userId, table_a.screenname AS screenName,FROM table_aLEFT JOIN(select userid from --i think only userid is needed in this query table_b table_b.organizationid IS NULL ) as table_b ON ( table_a.userid = table_b.userid )WHERE
( table_a.companyid = '20002' ) AND ( table_a.defaultuser = 'f' ) AND ( ( Lower(table_a.firstname) LIKE '%7189%' AND '%7189%' IS NOT NULL ) OR ( Lower(table_a.middlename) LIKE '%7189%' AND '%7189%' IS NOT NULL ) OR ( Lower(table_a.lastname) LIKE '%7189%' AND '%7189%' IS NOT NULL ) OR ( Lower(table_a.screenname) LIKE '%7189%' AND '%7189%' IS NOT NULL ) OR ( Lower(table_a.emailaddress) LIKE '%7189%' AND '%7189%' IS NOT NULL ) ) AND ( table_a.status = '0' )
关于sql - 当条件始终为false时的postgres查询优化,我们在Stack Overflow上找到一个类似的问题:https://stackoverflow.com/questions/36760305/