现有如下 SQL 及其执行计划。
select ename,deptno,salfrom emp awhere sal = (select max(sal) from emp b where a.deptno = b.deptno);
Execution Plan----------------------------------------------------------Plan hash value: 1245077725-------------------------------------------------------------------------------| Id | Operation | Name | Rows | Bytes | Cost (%CPU)| Time |-------------------------------------------------------------------------------| 0 | SELECT STATEMENT | | 1 | 39 | 8 (25)| 00:00:01 ||* 1 | HASH JOIN | | 1 | 39 | 8 (25)| 00:00:01 || 2 | VIEW | VW_SQ_1 | 3 | 78 | 4 (25)| 00:00:01 || 3 | HASH GROUP BY | | 3 | 21 | 4 (25)| 00:00:01 || 4 | TABLE ACCESS FULL| EMP | 14 | 98 | 3 (0)| 00:00:01 || 5 | TABLE ACCESS FULL | EMP | 14 | 182 | 3 (0)| 00:00:01 |-------------------------------------------------------------------------------Predicate Information (identified by operation id):---------------------------------------------------1 - access("SAL"="MAX(SAL)" AND "A"."DEPTNO"="ITEM_1")
该 SQL 表示查询员工表中每个部门工资最高的员工的所有信息,访问了 EMP 表两次。
我们可以利用分析函数对上面 SQL 进行等价改写,使 EMP 只访问一次。
分析函数的写法如下。
select ename, deptno, salfrom (select a.*, max(sal) over(partition by deptno) max_sal from emp a)where sal = max_sal;
Execution Plan----------------------------------------------------------Plan hash value: 4130734685----------------------------------------------------------------------------| Id | Operation | Name | Rows | Bytes | Cost (%CPU)| Time |----------------------------------------------------------------------------| 0 | SELECT STATEMENT | | 14 | 644 | 4 (25)| 00:00:01 ||* 1 | VIEW | | 14 | 644 | 4 (25)| 00:00:01 || 2 | WINDOW SORT | | 14 | 182 | 4 (25)| 00:00:01 || 3 | TABLE ACCESS FULL| EMP | 14 | 182 | 3 (0)| 00:00:01 |----------------------------------------------------------------------------Predicate Information (identified by operation id):---------------------------------------------------1 - filter("SAL"="MAX_SAL")
使用分析函数改写之后,减少了表扫描次数,EMP 表越大,性能提升越明显。
