今天晚上下班回来才有空看群，群友发了一条很简单的慢SQL问怎么优化。
非常简单，我自己模拟的数据。
表结构：
-- auto-generated definition CREATE TABLE HHHHHH ( ID NUMBER NOT NULL PRIMARY KEY, NAME VARCHAR2(20), PARAGRAPH_ID NUMBER ) / CREATE INDEX IDX_1_2_PARAGRAPH_HIST_RULE ON HHHHHH (PARAGRAPH_ID) / CREATE INDEX IDX_1_2_NAME_HIST_RULE ON HHHHHH (NAME) /
数据量：
SQL> select count(1) from HHHHHH; COUNT(1) ---------- 200002 Elapsed: 00:00:00.00
慢SQL：
SELECT a.* FROM hhhhhh a WHERE a.name IN ( SELECT name from hhhhhh b GROUP BY b.name HAVING count(DISTINCT b.paragraph_id) = 1 ); Plan hash value: 1063187735 ------------------------------------------------------------------------------------ | Id | Operation | Name | Rows | Bytes | Cost (%CPU)| Time | ------------------------------------------------------------------------------------ | 0 | SELECT STATEMENT | | 1 | 38 | 5 (20)| 00:00:01 | |* 1 | FILTER | | | | | | | 2 | TABLE ACCESS FULL | HHHHHH | 1 | 38 | 2 (0)| 00:00:01 | |* 3 | FILTER | | | | | | | 4 | HASH GROUP BY | | 1 | 25 | 3 (34)| 00:00:01 | | 5 | VIEW | VM_NWVW_1 | 1 | 25 | 3 (34)| 00:00:01 | | 6 | SORT GROUP BY | | 1 | 25 | 3 (34)| 00:00:01 | | 7 | TABLE ACCESS FULL| HHHHHH | 1 | 25 | 2 (0)| 00:00:01 | ------------------------------------------------------------------------------------ Predicate Information (identified by operation id): --------------------------------------------------- " 1 - filter( EXISTS (SELECT 0 FROM (SELECT ""B"".""PARAGRAPH_ID"" " " ""$vm_col_1"",""B"".""NAME"" ""$vm_col_2"" FROM ""HHHHHH"" ""B"" GROUP BY " " ""B"".""NAME"",""B"".""PARAGRAPH_ID"") ""VM_NWVW_1"" GROUP BY ""$vm_col_2"" HAVING " " ""$vm_col_2""=:B1 AND COUNT(""$vm_col_1"")=1))" " 3 - filter(""$vm_col_2""=:B1 AND COUNT(""$vm_col_1"")=1)"
跑了24秒没出结果我就干掉了，正常来说Oracle 这种遥遥领先的数据库，不能100毫秒以内出结果都有问题。
简单看了下上面的计划 Predicate Information 谓词信息，里面信息很复杂，懒得解释（其实我也不懂为啥CBO为啥这样乱分组过滤），并没啥卵用，感觉很SB。
一句话就是CBO等价改写了 EXISTS 还有 :B1这种变量，每次都是传个值到:B1 然后进行filter , 重点是每次。反正各位读者以后在计划中看到这种 :B1 变量都是每次每次，就是一次一次的传值，比较完一个数据继续传。
这种按照 PG 的说法就是复杂的子连接无法提升， GROUP BY b.name HAVING count(DISTINCT b.paragraph_id) = 1 惹得锅。
复杂的子连接无法提升参考 <<PostgreSQL技术内幕：查询优化深度探索 >>这本书 3.2篇章。
加个HINT：
SELECT a.* FROM hhhhhh a WHERE a.name IN ( SELECT /*+ unnest */ name from hhhhhh b GROUP BY b.name HAVING count(DISTINCT b.paragraph_id) = 1 5 ); ID NAME PARAGRAPH_ID ---------- -------------------- ------------ 200002 aaaaa 10000001 Elapsed: 00:00:00.05 Plan hash value: 3353221841 ------------------------------------------------------------------------------------- | Id | Operation | Name | Rows | Bytes | Cost (%CPU)| Time | ------------------------------------------------------------------------------------- | 0 | SELECT STATEMENT | | 1 | 50 | 5 (20)| 00:00:01 | |* 1 | HASH JOIN SEMI | | 1 | 50 | 5 (20)| 00:00:01 | | 2 | TABLE ACCESS FULL | HHHHHH | 1 | 38 | 2 (0)| 00:00:01 | | 3 | VIEW | VW_NSO_1 | 1 | 12 | 3 (34)| 00:00:01 | |* 4 | FILTER | | | | | | | 5 | HASH GROUP BY | | 1 | 25 | 3 (34)| 00:00:01 | | 6 | VIEW | VM_NWVW_2 | 1 | 25 | 3 (34)| 00:00:01 | | 7 | HASH GROUP BY | | 1 | 25 | 3 (34)| 00:00:01 | | 8 | TABLE ACCESS FULL| HHHHHH | 1 | 25 | 2 (0)| 00:00:01 | ------------------------------------------------------------------------------------- Predicate Information (identified by operation id): --------------------------------------------------- " 1 - access(""A"".""NAME""=""NAME"")" " 4 - filter(COUNT(""$vm_col_1"")=1)"
使用HINT将子链接强行提升（展开）以后，秒出。
但是使用HINT容易将执行计划固定住，非必要情况下不推荐。
等价改写该SQL 方式1：
SELECT A.* FROM HHHHHH A INNER JOIN (SELECT COUNT(1) BB, NAME FROM HHHHHH B 5 GROUP BY NAME) B ON A.NAME = B.NAME AND B.BB = 1; ID NAME PARAGRAPH_ID ---------- -------------------- ------------ 200002 aaaaa 10000001 Elapsed: 00:00:00.03 Plan hash value: 3909860973 -------------------------------------------------------------------------------- | Id | Operation | Name | Rows | Bytes | Cost (%CPU)| Time | -------------------------------------------------------------------------------- | 0 | SELECT STATEMENT | | 1 | 50 | 5 (20)| 00:00:01 | |* 1 | HASH JOIN | | 1 | 50 | 5 (20)| 00:00:01 | | 2 | TABLE ACCESS FULL | HHHHHH | 1 | 38 | 2 (0)| 00:00:01 | | 3 | VIEW | | 1 | 12 | 3 (34)| 00:00:01 | |* 4 | FILTER | | | | | | | 5 | HASH GROUP BY | | 1 | 12 | 3 (34)| 00:00:01 | | 6 | TABLE ACCESS FULL| HHHHHH | 1 | 12 | 2 (0)| 00:00:01 | -------------------------------------------------------------------------------- Predicate Information (identified by operation id): --------------------------------------------------- " 1 - access(""A"".""NAME""=""B"".""NAME"")" 4 - filter(COUNT(*)=1)
改写成 join 以后也是秒出。
等价改写该SQL 方式2：
SELECT X.ID, X.NAME, X.PARAGRAPH_ID FROM (SELECT A.*, COUNT(DISTINCT PARAGRAPH_ID) OVER (PARTITION BY NAME) CNT FROM HHHHHH A) X 5 WHERE X.CNT = 1; ID NAME PARAGRAPH_ID ---------- -------------------- ------------ 200002 aaaaa 10000001 Elapsed: 00:00:00.07 Plan hash value: 2750561680 ------------------------------------------------------------------------------ | Id | Operation | Name | Rows | Bytes | Cost (%CPU)| Time | ------------------------------------------------------------------------------ | 0 | SELECT STATEMENT | | 1 | 51 | 3 (34)| 00:00:01 | |* 1 | VIEW | | 1 | 51 | 3 (34)| 00:00:01 | | 2 | WINDOW SORT | | 1 | 38 | 3 (34)| 00:00:01 | | 3 | TABLE ACCESS FULL| HHHHHH | 1 | 38 | 2 (0)| 00:00:01 | ------------------------------------------------------------------------------ Predicate Information (identified by operation id): --------------------------------------------------- " 1 - filter(""X"".""CNT""=1)"
改写成开窗函数以后也是秒出。
<<PostgreSQL技术内幕：查询优化深度探索 >> 这本书是真的不错，偷偷刷了好几次，每次看完都有新的理解。