Oracle学习之性能优化(九)使用hint
基于代价的优化器是很聪明的,在绝大多数情况下它会选择正确的优化器,减轻了DBA的负担。但有时它也聪明反被聪明误,选择了很差的执行计划,使某个语句的执行变得奇慢无比。此时就需要DBA进行人为的干预,告诉优化器使用我们指定的存取路径或连接类型生成执行计划,从 而使语句高效的运行。例如,如果我们认为对于一个特定的语句,执行全表扫描要比执行索引扫描更有效,则我们就可以指示优化器使用全表扫描。在Oracle 中,是通过为语句添加 Hints(提示)来实现干预优化器优化的目的。
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不建议在代码中使用hint,在代码使用hint使得CBO无法根据实际的数据状态选择正确的执行计划。毕竟 数据是不断变化的, 10g以后的CBO也越来越完善,大多数情况下我们该让Oracle自行决定采用什么执行计划。Oracle Hints是一种机制,用来告诉优化器按照我们的告诉它的方式生成执行计划。我们可以用Oracle Hints来实现:
Hints for Optimization Approaches and Goals
Hints for Access Paths
Hints for Query Transformations
Hints for Join Orders
Hints for Join Operations
Hints for Parallel Execution
Additional Hints
实现提示的语法:
{DELETE|INSERT|SELECT|UPDATE} /*+ hint [text] [hint[text]]... */ or {DELETE|INSERT|SELECT|UPDATE} --+ hint [text] [hint[text]]...
Hints for Optimization Approaches and Goals
/*+ ALL_ROWS*/ 语句块选择基于成本的优化方法,并获得最佳吞吐量,使资源消耗最小化.
/*+ FIRST_ROWS(n)*/ 语句块选择基于成本的优化方法,并获得最佳响应时间,使资源消耗最小化.
/*+ CHOOSE*/ 语句块依赖统计信息来决定选择CBO还是RBO
/*+ RULE*/ 语句块选择基于规则的优化方法.
实例:
SQL> select /*+ALL_ROWS*/ * from emp,dept where emp.deptno=dept.deptno; Execution Plan ---------------------------------------------------------- Plan hash value: 844388907 ---------------------------------------------------------------------------------------- | Id | Operation | Name | Rows | Bytes | Cost (%CPU)| Time | ---------------------------------------------------------------------------------------- | 0 | SELECT STATEMENT | | 14 | 812 | 6(17)| 00:00:01 | | 1 | MERGE JOIN | | 14 | 812 | 6(17)| 00:00:01 | | 2 | TABLE ACCESS BY INDEX ROWID| DEPT | 4 | 80 | 2 (0)| 00:00:01 | | 3 | INDEX FULL SCAN | PK_DEPT | 4 | | 1 (0)| 00:00:01 | |* 4 | SORT JOIN | | 14 | 532 | 4(25)| 00:00:01 | | 5 | TABLE ACCESS FULL | EMP | 14 | 532 | 3 (0)| 00:00:01 | ---------------------------------------------------------------------------------------- Predicate Information (identified by operation id): --------------------------------------------------- 4 - access("EMP"."DEPTNO"="DEPT"."DEPTNO") filter("EMP"."DEPTNO"="DEPT"."DEPTNO")
SQL> select /*+ FIRST_ROWS(1)*/ * from emp,dept where emp.deptno=dept.deptno; 14 rows selected. Execution Plan ---------------------------------------------------------- Plan hash value: 3625962092 ---------------------------------------------------------------------------------------- | Id | Operation | Name | Rows | Bytes | Cost (%CPU)| Time | ---------------------------------------------------------------------------------------- | 0 | SELECT STATEMENT | | 1 | 58 | 3 (0)| 00:00:01 | | 1 | NESTED LOOPS | | | | | | | 2 | NESTED LOOPS | | 1 | 58 | 3 (0)| 00:00:01 | | 3 | TABLE ACCESS FULL | EMP | 1 | 38 | 2 (0)| 00:00:01 | |* 4 | INDEX UNIQUE SCAN | PK_DEPT | 1 | | 0 (0)| 00:00:01 | | 5 | TABLE ACCESS BY INDEX ROWID| DEPT | 1 | 20 | 1 (0)| 00:00:01 | ---------------------------------------------------------------------------------------- Predicate Information (identified by operation id): --------------------------------------------------- 4 - access("EMP"."DEPTNO"="DEPT"."DEPTNO")
Hints for Access Paths
/*+ FULL(TABLE)*/ 全表扫描
SQL> select empno from emp; 14 rows selected. Execution Plan ---------------------------------------------------------- Plan hash value: 179099197 --------------------------------------------------------------------------- | Id | Operation | Name | Rows | Bytes | Cost (%CPU)| Time | --------------------------------------------------------------------------- | 0 | SELECT STATEMENT | | 1 | 4 | 1 (0)| 00:00:01 | | 1 | INDEX FULL SCAN | PK_EMP | 1 | 4 | 1 (0)| 00:00:01 | ---------------------------------------------------------------------------
加hint后
SQL> select /*+ FULL(emp)*/ ename from emp; 14 rows selected. Execution Plan ---------------------------------------------------------- Plan hash value: 3956160932 -------------------------------------------------------------------------- | Id | Operation | Name | Rows | Bytes | Cost (%CPU)| Time | -------------------------------------------------------------------------- | 0 | SELECT STATEMENT | | 1 | 6 | 2 (0)| 00:00:01 | | 1 | TABLE ACCESS FULL| EMP | 1 | 6 | 2 (0)| 00:00:01 | --------------------------------------------------------------------------
/*+ROWID(TABLE)*/
SQL> SELECT ROWID,EMPNO FROM EMP; ROWID EMPNO ------------------ ---------- AAASZHAAEAAAACXAAA 7369 AAASZHAAEAAAACXAAB 7499 AAASZHAAEAAAACXAAC 7521 AAASZHAAEAAAACXAAD 7566 AAASZHAAEAAAACXAAE 7654 AAASZHAAEAAAACXAAF 7698 AAASZHAAEAAAACXAAG 7782 AAASZHAAEAAAACXAAH 7788 AAASZHAAEAAAACXAAI 7839 AAASZHAAEAAAACXAAJ 7844 AAASZHAAEAAAACXAAK 7876 ROWID EMPNO ------------------ ---------- AAASZHAAEAAAACXAAL 7900 AAASZHAAEAAAACXAAM 7902 AAASZHAAEAAAACXAAN 7934 14 rows selected.
从上面的结果集中选取一个rowid,不加hint
SQL> SELECT * FROM EMP WHERE ROWID>='AAASZHAAEAAAACXAAA' AND EMPNO IN(7521,7654); Execution Plan ---------------------------------------------------------- Plan hash value: 2355049923 --------------------------------------------------------------------------------------- | Id | Operation | Name | Rows | Bytes | Cost (%CPU)| Time | --------------------------------------------------------------------------------------- | 0 | SELECT STATEMENT | | 1 | 38 | 2 (0)| 00:00:01 | | 1 | INLIST ITERATOR | | | | | | | 2 | TABLE ACCESS BY INDEX ROWID| EMP | 1 | 38 | 2 (0)| 00:00:01 | |* 3 | INDEX UNIQUE SCAN | PK_EMP | 1 | | 1 (0)| 00:00:01 | ---------------------------------------------------------------------------------------
使用hint
SQL> SELECT /*+rowid(EMP)*/ * FROM EMP WHERE ROWID>='AAASZHAAEAAAACXAAA' AND EMPNO IN(7521,7654); Execution Plan ---------------------------------------------------------- Plan hash value: 2267975152 ------------------------------------------------------------------------------------ | Id | Operation | Name | Rows | Bytes | Cost (%CPU)| Time | ------------------------------------------------------------------------------------ | 0 | SELECT STATEMENT | | 1 | 38 | 3 (0)| 00:00:01 | |* 1 | TABLE ACCESS BY ROWID RANGE| EMP | 1 | 38 | 3 (0)| 00:00:01 | ------------------------------------------------------------------------------------
/*+ INDEX(TABLE INDEX_NAME) */ 对表选择索引的扫描方法. INDEX_NAME一定要大写
SQL> select /*+INDEX(emp PK_EMP)*/ * from emp; 14 rows selected. Execution Plan ---------------------------------------------------------- Plan hash value: 4170700152 -------------------------------------------------------------------------------------- | Id | Operation | Name | Rows | Bytes | Cost (%CPU)| Time | -------------------------------------------------------------------------------------- | 0 | SELECT STATEMENT | | 1 | 38 | 2 (0)| 00:00:01 | | 1 | TABLE ACCESS BY INDEX ROWID| EMP | 1 | 38 | 2 (0)| 00:00:01 | | 2 | INDEX FULL SCAN | PK_EMP | 14 | | 1 (0)| 00:00:01 | --------------------------------------------------------------------------------------
/*+ INDEX_ASC(TABLE INDEX_NAME)*/ 表明对表选择索引升序的扫描方法. 建立索引时如果没有指定desc,那么INDEX_ASC和INDEX 提示表示相同意义。
SQL> select /*+INDEX_ASC(emp PK_EMP)*/ * from emp; 14 rows selected. Execution Plan ---------------------------------------------------------- Plan hash value: 4170700152 -------------------------------------------------------------------------------------- | Id | Operation | Name | Rows | Bytes | Cost (%CPU)| Time | -------------------------------------------------------------------------------------- | 0 | SELECT STATEMENT | | 1 | 38 | 2 (0)| 00:00:01 | | 1 | TABLE ACCESS BY INDEX ROWID| EMP | 1 | 38 | 2 (0)| 00:00:01 | | 2 | INDEX FULL SCAN | PK_EMP | 14 | | 1 (0)| 00:00:01 | --------------------------------------------------------------------------------------
/*+ INDEX_DESC(TABLE INDEX_NAME)*/ 表明对表选择索引降序的扫描方法.
SQL> select /*+INDEX_DESC(emp PK_EMP)*/ * from emp; EMPNO ENAME JOB MGR HIREDATE SAL COMM DEPTNO ---------- ------------------------------ --------------------------- ---------- ------------------- ---------- ---------- ---------- 7934 MILLER CLERK 7782 1982/01/23 00:00:00 1300 10 7902 FORD ANALYST 7566 1981/12/03 00:00:00 3000 20 7900 JAMES CLERK 7698 1981/12/03 00:00:00 950 30 7876 ADAMS CLERK 7788 1987/05/23 00:00:00 1100 20 7844 TURNER SALESMAN 7698 1981/09/08 00:00:00 1500 0 30 7839 KING PRESIDENT 1981/11/17 00:00:00 5000 10 7788 SCOTT ANALYST 7566 1987/04/19 00:00:00 3000 20 7782 CLARK MANAGER 7839 1981/06/09 00:00:00 2450 10 7698 BLAKE MANAGER 7839 1981/05/01 00:00:00 2850 30 7654 MARTIN SALESMAN 7698 1981/09/28 00:00:00 1250 1400 30 7566 JONES MANAGER 7839 1981/04/02 00:00:00 2975 20 7521 WARD SALESMAN 7698 1981/02/22 00:00:00 1250 500 30 7499 ALLEN SALESMAN 7698 1981/02/20 00:00:00 1600 300 30 7369 SMITH CLERK 7902 1980/12/17 00:00:00 800 20 14 rows selected. Execution Plan ---------------------------------------------------------- Plan hash value: 3088625055 -------------------------------------------------------------------------------------- | Id | Operation | Name | Rows | Bytes | Cost (%CPU)| Time | -------------------------------------------------------------------------------------- | 0 | SELECT STATEMENT | | 1 | 38 | 2 (0)| 00:00:01 | | 1 | TABLE ACCESS BY INDEX ROWID| EMP | 1 | 38 | 2 (0)| 00:00:01 | | 2 | INDEX FULL SCAN DESCENDING| PK_EMP | 14 | | 1 (0)| 00:00:01 | --------------------------------------------------------------------------------------
上面的查询结果是按照empno降序排列的。
/*+INDEX_COMBINE(TABLE INDEX1 INDEX2 ...)*/
SQL> create bitmap index bidx_emp_sal on emp(sal); Index created. SQL> create bitmap index bidx_emp_hiredate on emp(hiredate); Index created.
SQL> SELECT * FROM EMP WHERE SAL<1500 AND HIREDATE<'1981/06/09 00:00:00'; EMPNO ENAME JOB MGR HIREDATE SAL COMM DEPTNO ---------- ------------------------------ --------------------------- ---------- ------------------- ---------- ---------- ---------- 7369 SMITH CLERK 7902 1980/12/17 00:00:00 800 20 7521 WARD SALESMAN 7698 1981/02/22 00:00:00 1250 500 30 Execution Plan ---------------------------------------------------------- Plan hash value: 1384570463 -------------------------------------------------------------------------------------------------- | Id | Operation | Name | Rows | Bytes | Cost (%CPU)| Time | -------------------------------------------------------------------------------------------------- | 0 | SELECT STATEMENT | | 1 | 38 | 2 (0)| 00:00:01 | |* 1 | TABLE ACCESS BY INDEX ROWID | EMP | 1 | 38 | 2 (0)| 00:00:01 | | 2 | BITMAP CONVERSION TO ROWIDS| | | | | | |* 3 | BITMAP INDEX RANGE SCAN | BIDX_EMP_HIREDATE | | | | | -------------------------------------------------------------------------------------------------- Predicate Information (identified by operation id): --------------------------------------------------- 1 - filter("SAL"<1500) 3 - access("HIREDATE"使用hint后
SQL> SELECT /*+INDEX_COMBINE( EMP BIDX_EMP_HIREDATE BIDX_EMP_SAL)*/ * FROM EMP WHERE SAL<1500 AND HIREDATE<'1981/06/09 00:00:00'; EMPNO ENAME JOB MGR HIREDATE SAL COMM DEPTNO ---------- ------------------------------ --------------------------- ---------- ------------------- ---------- ---------- ---------- 7369 SMITH CLERK 7902 1980/12/17 00:00:00 800 20 7521 WARD SALESMAN 7698 1981/02/22 00:00:00 1250 500 30 Execution Plan ---------------------------------------------------------- Plan hash value: 1332639593 -------------------------------------------------------------------------------------------------- | Id | Operation | Name | Rows | Bytes | Cost (%CPU)| Time | -------------------------------------------------------------------------------------------------- | 0 | SELECT STATEMENT | | 1 | 38 | 2 (0)| 00:00:01 | | 1 | TABLE ACCESS BY INDEX ROWID | EMP | 1 | 38 | 2 (0)| 00:00:01 | | 2 | BITMAP CONVERSION TO ROWIDS| | | | | | | 3 | BITMAP AND | | | | | | | 4 | BITMAP MERGE | | | | | | |* 5 | BITMAP INDEX RANGE SCAN | BIDX_EMP_HIREDATE | | | | | | 6 | BITMAP MERGE | | | | | | |* 7 | BITMAP INDEX RANGE SCAN | BIDX_EMP_SAL | | | | | -------------------------------------------------------------------------------------------------- Predicate Information (identified by operation id): --------------------------------------------------- 5 - access("HIREDATE"/*+ INDEX_JOIN(TABLE INDEX_NAME1 INDEX_NAME2) */
当谓词中引用的列都有索引的时候,可以通过指定采用索引关联的方式,来访问数据.选择列只能是索引中的列。
SQL> create index idx_emp_ename on emp(ename); Index created. SQL> select /*+ INDEX_JOIN( emp PK_EMP IDX_EMP_ENAME)*/ empno,ename from emp where ename='KING' and empno=7839; EMPNO ENAME ---------- ------------------------------ 7839 KING Execution Plan ---------------------------------------------------------- Plan hash value: 70197466 --------------------------------------------------------------------------------------- | Id | Operation | Name | Rows | Bytes | Cost (%CPU)| Time | --------------------------------------------------------------------------------------- | 0 | SELECT STATEMENT | | 1 | 10 | 2 (50)| 00:00:01 | |* 1 | VIEW | index$_join$_001 | 1 | 10 | 2 (50)| 00:00:01 | |* 2 | HASH JOIN | | | | | | |* 3 | INDEX RANGE SCAN| PK_EMP | 1 | 10 | 0 (0)| 00:00:01 | |* 4 | INDEX RANGE SCAN| IDX_EMP_ENAME | 1 | 10 | 1 (0)| 00:00:01 | ---------------------------------------------------------------------------------------/*+ INDEX_FFS(TABLE INDEX_NAME) */对指定的表执行快速全索引扫描,而不是全表扫描的办法
SQL> select empno from emp; Execution Plan ---------------------------------------------------------- Plan hash value: 179099197 --------------------------------------------------------------------------- | Id | Operation | Name | Rows | Bytes | Cost (%CPU)| Time | --------------------------------------------------------------------------- | 0 | SELECT STATEMENT | | 1 | 4 | 1 (0)| 00:00:01 | | 1 | INDEX FULL SCAN | PK_EMP | 1 | 4 | 1 (0)| 00:00:01 | ---------------------------------------------------------------------------我们加上hint后
SQL> select /*+INDEX_FFS(emp PK_EMP)*/ empno from emp order by empno; Execution Plan ---------------------------------------------------------- Plan hash value: 3618959410 -------------------------------------------------------------------------------- | Id | Operation | Name | Rows | Bytes | Cost (%CPU)| Time | -------------------------------------------------------------------------------- | 0 | SELECT STATEMENT | | 14 | 56 | 3 (34)| 00:00:01 | | 1 | SORT ORDER BY | | 14 | 56 | 3 (34)| 00:00:01 | | 2 | INDEX FAST FULL SCAN| PK_EMP | 14 | 56 | 2 (0)| 00:00:01 | --------------------------------------------------------------------------------/*+NO_INDEX(TABLE INDEX_NAME)*/ 不使用索引
SQL> select /*+NO_INDEX(emp PK_EMP)*/ empno from emp; Execution Plan ---------------------------------------------------------- Plan hash value: 3956160932 -------------------------------------------------------------------------- | Id | Operation | Name | Rows | Bytes | Cost (%CPU)| Time | -------------------------------------------------------------------------- | 0 | SELECT STATEMENT | | 1 | 4 | 2 (0)| 00:00:01 | | 1 | TABLE ACCESS FULL| EMP | 1 | 4 | 2 (0)| 00:00:01 | --------------------------------------------------------------------------/*+AND_EQUAL(TABLE INDEX1 INDEX2 ...)*/ index最少两个,最多不超过5个。
这个和INDEX_JOIN有点类似,但是INDEX_JOIN只能指定两个索引
SQL> CREATE INDEX IDX_EMP_JOB ON EMP(JOB); Index created. SQL> select /*+ AND_EQUAL(emp IDX_EMP_JOB IDX_EMP_ENAME)*/ empno,ename from emp where ENAME='KING' and JOB='SALESMAN'; no rows selected Execution Plan ---------------------------------------------------------- Plan hash value: 1954919191 --------------------------------------------------------------------------------------------- | Id | Operation | Name | Rows | Bytes | Cost (%CPU)| Time | --------------------------------------------------------------------------------------------- | 0 | SELECT STATEMENT | | 1 | 18 | 2 (0)| 00:00:01 | |* 1 | TABLE ACCESS BY INDEX ROWID| EMP | 1 | 18 | 2 (0)| 00:00:01 | | 2 | AND-EQUAL | | | | | | |* 3 | INDEX RANGE SCAN | IDX_EMP_ENAME | 1 | | 1 (0)| 00:00:01 | |* 4 | INDEX RANGE SCAN | IDX_EMP_JOB | 3 | | 1 (0)| 00:00:01 | ---------------------------------------------------------------------------------------------Hints for Query Transformations
/*+USE_CONCAT*/ 将WHERE 子句中的or或者in 查询转换成UNION ALL查询
SQL> SELECT /*+USE_CONCAT*/ * from emp where ename='KING' OR SAL>5000; Execution Plan ---------------------------------------------------------- Plan hash value: 1292243969 ----------------------------------------------------------------------------------------------- | Id | Operation | Name | Rows | Bytes | Cost (%CPU)| Time | ----------------------------------------------------------------------------------------------- | 0 | SELECT STATEMENT | | 1 | 38 | 4(0)| 00:00:01 | | 1 | CONCATENATION | | | | | | | 2 | TABLE ACCESS BY INDEX ROWID | EMP | 1 | 38 | 2(0)| 00:00:01 | |* 3 | INDEX RANGE SCAN | IDX_EMP_ENAME | 1 | | 1(0)| 00:00:01 | |* 4 | TABLE ACCESS BY INDEX ROWID | EMP | 1 | 38 | 2(0)| 00:00:01 | | 5 | BITMAP CONVERSION TO ROWIDS| | | | | | |* 6 | BITMAP INDEX RANGE SCAN | BIDX_EMP_SAL | | | | | -----------------------------------------------------------------------------------------------/*+NO_EXPAND*/ 与USE_CONCAT正好相反,就是阻止优化器将条件中带or或者in查询转换成UNION ALL
SQL> select * from emp where empno=7840 or ename='SCOTT'; Execution Plan ---------------------------------------------------------- Plan hash value: 2037299637 ---------------------------------------------------------------------------------------------- | Id | Operation | Name | Rows | Bytes | Cost (%CPU)| Time | ---------------------------------------------------------------------------------------------- | 0 | SELECT STATEMENT | | 1 | 38 | 3 (0)| 00:00:01 | | 1 | CONCATENATION | | | | | | | 2 | TABLE ACCESS BY INDEX ROWID| EMP | 1 | 38 | 2 (0)| 00:00:01 | |* 3 | INDEX RANGE SCAN | IDX_EMP_ENAME | 1 | | 1 (0)| 00:00:01 | |* 4 | TABLE ACCESS BY INDEX ROWID| EMP | 1 | 38 | 1 (0)| 00:00:01 | |* 5 | INDEX UNIQUE SCAN | PK_EMP | 1 | | 0 (0)| 00:00:01 | ----------------------------------------------------------------------------------------------加hint后
SQL> select /*+NO_EXPAND*/ * from emp where empno=7840 or ename='SCOTT'; Execution Plan ---------------------------------------------------------- Plan hash value: 3956160932 -------------------------------------------------------------------------- | Id | Operation | Name | Rows | Bytes | Cost (%CPU)| Time | -------------------------------------------------------------------------- | 0 | SELECT STATEMENT | | 2 | 76 | 3 (0)| 00:00:01 | |* 1 | TABLE ACCESS FULL| EMP | 2 | 76 | 3 (0)| 00:00:01 | --------------------------------------------------------------------------/*+REWRITE(mview)*/ 使用物化视图重写sql
/*+NO_REWRITE*/ 不使用物化视图重写sql
/*+MERGE*/ 对视图查询进行合并。
看如下例子:
SQL> SELECT e1.ename, e1.sal, v.avg_sal FROM emp e1, (SELECT deptno, avg(sal) avg_sal FROM emp e2 GROUP BY deptno) v WHERE e1.deptno = v.deptno AND e1.sal > v.avg_sal; Execution Plan ---------------------------------------------------------- Plan hash value: 269884559 ----------------------------------------------------------------------------- | Id | Operation | Name | Rows | Bytes | Cost (%CPU)| Time | ----------------------------------------------------------------------------- | 0 | SELECT STATEMENT | | 1 | 29 | 8 (25)| 00:00:01 | |* 1 | HASH JOIN | | 1 | 29 | 8 (25)| 00:00:01 | | 2 | VIEW | | 3 | 48 | 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 | -----------------------------------------------------------------------------先把v的结果集算出来,再和e1进行join运算。
如果使用hint呢。
SQL> SELECT /*+merge(v)*/e1.ename, e1.sal, v.avg_sal FROM emp e1, (SELECT deptno, avg(sal) avg_sal FROM emp e2 GROUP BY deptno) v WHERE e1.deptno = v.deptno AND e1.sal > v.avg_sal; Execution Plan ---------------------------------------------------------- Plan hash value: 2435006919 ----------------------------------------------------------------------------- | Id | Operation | Name | Rows | Bytes | Cost (%CPU)| Time | ----------------------------------------------------------------------------- | 0 | SELECT STATEMENT | | 4 | 128 | 8 (25)| 00:00:01 | |* 1 | FILTER | | | | | | | 2 | HASH GROUP BY | | 4 | 128 | 8 (25)| 00:00:01 | |* 3 | HASH JOIN | | 65 | 2080 | 7 (15)| 00:00:01 | | 4 | TABLE ACCESS FULL| EMP | 14 | 350 | 3 (0)| 00:00:01 | | 5 | TABLE ACCESS FULL| EMP | 14 | 98 | 3 (0)| 00:00:01 | -----------------------------------------------------------------------------先将两表进行关联,再进行group by
/*NO_MERGE(VIEW)*/ 与MERGE操作正好相反。
Hints for Join Orders
/*+ORDERED*/ 根据表在FROM子句中的顺序,依次对其连接.
SQL> select * from emp e,dept d where e.deptno=d.deptno; 14 rows selected. Execution Plan ---------------------------------------------------------- Plan hash value: 844388907 ---------------------------------------------------------------------------------------- | Id | Operation | Name | Rows | Bytes | Cost (%CPU)| Time | ---------------------------------------------------------------------------------------- | 0 | SELECT STATEMENT | | 14 | 812 | 6 (17)| 00:00:01 | | 1 | MERGE JOIN | | 14 | 812 | 6 (17)| 00:00:01 | | 2 | TABLE ACCESS BY INDEX ROWID| DEPT | 4 | 80 | 2 (0)| 00:00:01 | | 3 | INDEX FULL SCAN | PK_DEPT | 4 | | 1 (0)| 00:00:01 | |* 4 | SORT JOIN | | 14 | 532 | 4 (25)| 00:00:01 | | 5 | TABLE ACCESS FULL | EMP | 14 | 532 | 3 (0)| 00:00:01 | ----------------------------------------------------------------------------------------虽然emp表写在前面,但是优化器并没有先处理emp表。
添加hint后
SQL> select /*+ORDERED*/ * from emp e,dept d where e.deptno=d.deptno; 14 rows selected. Execution Plan ---------------------------------------------------------- Plan hash value: 1123238657 --------------------------------------------------------------------------- | Id | Operation | Name | Rows | Bytes | Cost (%CPU)| Time | --------------------------------------------------------------------------- | 0 | SELECT STATEMENT | | 14 | 812 | 7 (15)| 00:00:01 | |* 1 | HASH JOIN | | 14 | 812 | 7 (15)| 00:00:01 | | 2 | TABLE ACCESS FULL| EMP | 14 | 532 | 3 (0)| 00:00:01 | | 3 | TABLE ACCESS FULL| DEPT | 4 | 80 | 3 (0)| 00:00:01 | ---------------------------------------------------------------------------Hints for Join Operations
/*+USE_NL(TABLE1 TABLE2)*/ 使用循环嵌套进行连接,并把指定的第一个表作为驱动表.
SQL> select /*+USE_NL(d e)*/ * from emp e,dept d where e.deptno=d.deptno; 14 rows selected. Execution Plan ---------------------------------------------------------- Plan hash value: 4192419542 --------------------------------------------------------------------------- | Id | Operation | Name | Rows | Bytes | Cost (%CPU)| Time | --------------------------------------------------------------------------- | 0 | SELECT STATEMENT | | 14 | 812 | 10 (0)| 00:00:01 | | 1 | NESTED LOOPS | | 14 | 812 | 10 (0)| 00:00:01 | | 2 | TABLE ACCESS FULL| DEPT | 4 | 80 | 3 (0)| 00:00:01 | |* 3 | TABLE ACCESS FULL| EMP | 4 | 152 | 2 (0)| 00:00:01 | ---------------------------------------------------------------------------/*+USE_MERGE(table1 table2)*/
SQL> alter session set optimizer_mode=first_rows_1; Session altered. SQL> select a.ename,b.ename from emp a,emp b where a.mgr=b.empno; 13 rows selected. Execution Plan ---------------------------------------------------------- Plan hash value: 3355052392 --------------------------------------------------------------------------------------- | Id | Operation | Name | Rows | Bytes | Cost (%CPU)| Time | --------------------------------------------------------------------------------------- | 0 | SELECT STATEMENT | | 1 | 20 | 3 (0)| 00:00:01 | | 1 | NESTED LOOPS | | | | | | | 2 | NESTED LOOPS | | 1 | 20 | 3 (0)| 00:00:01 | |* 3 | TABLE ACCESS FULL | EMP | 7 | 70 | 2 (0)| 00:00:01 | |* 4 | INDEX UNIQUE SCAN | PK_EMP | 1 | | 0 (0)| 00:00:01 | | 5 | TABLE ACCESS BY INDEX ROWID| EMP | 1 | 10 | 1 (0)| 00:00:01 | ---------------------------------------------------------------------------------------SQL> select /*+USE_MERGE(a b)*/ a.ename,b.ename from emp a,emp b where a.mgr=b.empno; 13 rows selected. Execution Plan ---------------------------------------------------------- Plan hash value: 992080948 --------------------------------------------------------------------------------------- | Id | Operation | Name | Rows | Bytes | Cost (%CPU)| Time | --------------------------------------------------------------------------------------- | 0 | SELECT STATEMENT | | 1 | 30 | 6 (17)| 00:00:01 | | 1 | MERGE JOIN | | 1 | 30 | 6 (17)| 00:00:01 | | 2 | TABLE ACCESS BY INDEX ROWID| EMP | 14 | 140 | 2 (0)| 00:00:01 | | 3 | INDEX FULL SCAN | PK_EMP | 14 | | 1 (0)| 00:00:01 | |* 4 | SORT JOIN | | 13 | 130 | 4 (25)| 00:00:01 | |* 5 | TABLE ACCESS FULL | EMP | 13 | 130 | 3 (0)| 00:00:01 | ---------------------------------------------------------------------------------------/*+USE_HASH(table1 table2)*/ 将指定的表与其他表通过哈希连接方式连接起来.
SQL> select /*+USE_HASH(a b)*/ a.ename,b.ename from emp a,emp b where a.mgr=b.empno; 13 rows selected. Execution Plan ---------------------------------------------------------- Plan hash value: 3638257876 --------------------------------------------------------------------------- | Id | Operation | Name | Rows | Bytes | Cost (%CPU)| Time | --------------------------------------------------------------------------- | 0 | SELECT STATEMENT | | 1 | 20 | 7 (15)| 00:00:01 | |* 1 | HASH JOIN | | 1 | 20 | 7 (15)| 00:00:01 | | 2 | TABLE ACCESS FULL| EMP | 14 | 140 | 3 (0)| 00:00:01 | |* 3 | TABLE ACCESS FULL| EMP | 7 | 70 | 3 (0)| 00:00:01 | ---------------------------------------------------------------------------/*+DRIVING_SITE(TABLE)*/ 此hint在使用dblink时有用。我们看如下例子
SQL> conn / as sysdba Connected. SQL> grant create database link to scott; Grant succeeded. SQL> conn scott/tiger Connected. SQL> create shared database link "db1" authenticated by SCOTT identified by "tiger" using '192.168.199.216:1521/11GDG1';进行如下查询
SQL> select * from emp@db1 e,dept d where e.deptno=d.deptno; 14 rows selected. Execution Plan ---------------------------------------------------------- Plan hash value: 2705760024 -------------------------------------------------------------------------------------------------------- | Id | Operation | Name | Rows | Bytes | Cost (%CPU)| Time | Inst |IN-OUT| -------------------------------------------------------------------------------------------------------- | 0 | SELECT STATEMENT | | 14 | 812 | 6 (17)| 00:00:01 | | | | 1 | MERGE JOIN | | 14 | 812 | 6 (17)| 00:00:01 | | | | 2 | TABLE ACCESS BY INDEX ROWID| DEPT | 4 | 80 | 2 (0)| 00:00:01 | | | | 3 | INDEX FULL SCAN | PK_DEPT | 4 | | 1 (0)| 00:00:01 | | | |* 4 | SORT JOIN | | 14 | 532 | 4 (25)| 00:00:01 | | | | 5 | REMOTE | EMP | 14 | 532 | 3 (0)| 00:00:01 | DB1 | R->S | --------------------------------------------------------------------------------------------------------Oracle是将db1上的emp的数据传到本地,然后排序合并。如果emp的数据量非常大时,这样无疑是非常耗时的。如果我们可以将dept传给远端,在远端执行,结果返回到本地,那么执行的速度会比较快。
SQL> select /*+DRIVING_SITE(e)*/* from emp@db1 e,dept d where e.deptno=d.deptno; 14 rows selected. Execution Plan ---------------------------------------------------------- Plan hash value: 2412741621 ----------------------------------------------------------------------------------------------- | Id | Operation | Name | Rows | Bytes | Cost (%CPU)| Time | Inst |IN-OUT| ----------------------------------------------------------------------------------------------- |
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