如何用 SQL Tuning Advisor (STA) 优化SQL语句

在Oracle10g之前，优化SQL是个比较费力的技术活，不停的分析执行计划，加hint，分析统计信息等等。在10g中，Oracle推出了自己的SQL优化辅助工具: SQL优化器(SQL Tuning Advisor ：STA)，它是新的DBMS_SQLTUNE包。使用STA一定要保证优化器是CBO模式下。

 

执行DBMS_SQLTUNE包进行sql优化需要有advisor的权限：

 

SQL> create user dave identified by dave;

用户已创建。

SQL> grant connect,resource to dave;

授权成功。

SQL> grant advisor to dave;

授权成功。

 

 

下面简单介绍一下如何优化一条找到的问题语句。

 

 

createtable bigtab asselectrownumas"id",a.* from sys.all_objects a;

createtable smalltab asselectrownumas"id",a.* FROM sys.all_tables a;

 

然后多运行几次下面的脚本，增加表里的数据：

insertintobigtabselectrownumas"id",a.* from sys.all_objects a;

insertintosmalltabselectrownumas"id",a.* FROM sys.all_tables a;

 

这里创建一张大表和一张小表，并且都没有索引，下面执行一个查询：

SQL> set timing on

SQL> set autot on

SQL> select count(*) from bigtab a, smalltab b where a.object_name=b.table_name;

COUNT(*)

----------

2141537

已用时间: 00: 00: 20.05

执行计划

----------------------------------------------------------

Plan hash value: 3089226980

--------------------------------------------------------------------------------

| Id | Operation | Name | Rows | Bytes | Cost (%CPU)| Time |

--------------------------------------------------------------------------------

| 0 | SELECT STATEMENT | | 1 | 45 | 3146 (1)| 00:00:38 |

| 1 | SORT AGGREGATE | | 1 | 45 | | |

|* 2 | HASH JOIN | | 447K| 19M| 3146 (1)| 00:00:38 |

| 3 | TABLE ACCESS FULL| SMALLTAB | 27327 | 533K| 264 (1)| 00:00:04 |

| 4 | TABLE ACCESS FULL| BIGTAB | 712K| 16M| 2878 (1)| 00:00:35 |

--------------------------------------------------------------------------------

Predicate Information (identified by operation id):

---------------------------------------------------

2 - access("A"."OBJECT_NAME"="B"."TABLE_NAME")

 

统计信息

----------------------------------------------------------

0 recursive calls

0 db block gets

31149 consistent gets

21058 physical reads

0 redo size

426 bytes sent via SQL*Net to client

416 bytes received via SQL*Net from client

2 SQL*Net roundtrips to/from client

0 sorts (memory)

0 sorts (disk)

1 rows processed

 

 

第一步：创建优化任务

通过调用函数CREATE_TUNING_TASK来创建优化任务，调用存储过程EXECUTE_TUNING_TASK执行该任务：

SQL> set autot off

SQL> set timing off

SQL> DECLARE

2 my_task_name VARCHAR2(30);

3 my_sqltext CLOB;

4 BEGIN

5 my_sqltext := 'select count(*) from bigtab a, smalltab b where a.object_name=b.table_name';

6 my_task_name := DBMS_SQLTUNE.CREATE_TUNING_TASK(

7 sql_text => my_sqltext,

8 user_name => 'DAVE',-- 注意是大写，不然会报错，用户无效

9 scope => 'COMPREHENSIVE',

10 time_limit => 60,

11 task_name => 'tuning_sql_test',

12 description => 'Task to tune a query on a specified table');

13

14 DBMS_SQLTUNE.EXECUTE_TUNING_TASK( task_name => 'tuning_sql_test');

15 END;

16 /

 

PL/SQL procedure successfully completed.

在函数CREATE_TUNING_TASK，sql_text是需要优化的语句，user_name是该语句通过哪个用户执行，scope是优化范围（limited或comprehensive），time_limit优化过程的时间限制，task_name优化任务名称，description优化任务描述。

 

第二步：执行优化任务

通过调用dbms_sqltune.execute_tuning_task过程来执行前面创建好的优化任务。

SQL> exec dbms_sqltune.execute_tuning_task('tuning_sql_test');

PL/SQL 过程已成功完成。

 

第三步：检查优化任务的状态

 

通过查看user_advisor_tasks/dba_advisor_tasks视图可以查看优化任务的当前状态。

 

SQL> SELECT task_name,status FROM USER_ADVISOR_TASKS WHERE task_name ='tuning_sql_test';

 

TASK_NAME STATUS

------------------------------ -----------

tuning_sql_test COMPLETED

 

第四步：查看优化结果

通过dbms_sqltune.report_tning_task函数可以获得优化任务的结果。

SQL> SET LONG 999999

SQL> set serveroutput on size 999999

SQL> SET LINESIZE 100

SQL> SELECT DBMS_SQLTUNE.REPORT_TUNING_TASK( 'tuning_sql_test') from DUAL;

DBMS_SQLTUNE.REPORT_TUNING_TASK('TUNING_SQL_TEST')

----------------------------------------------------------------------------------------------------

GENERAL INFORMATION SECTION

-------------------------------------------------------------------------------

Tuning Task Name : tuning_sql_test

Tuning Task Owner : DEMO

Scope : COMPREHENSIVE

Time Limit(seconds) : 60

Completion Status : COMPLETED

Started at : 5/28/2010 13:16:43

Completed at : 5/28/2010 13:16:44

Number of Index Findings : 1

 

Schema Name: DEMO

SQL ID : 6p64dnnsqf9pm

SQL Text : select count(*) from bigtab a, smalltab b where

a.object_name=b.table_name

 

-------------------------------------------------------------------------------

FINDINGS SECTION (1 finding)

-------------------------------------------------------------------------------

 

1- Index Finding (see explain plans section below)

 

The execution plan of this statement can be improved by creating one or more

indices.

 

Recommendation (estimated benefit: 100%)

----------------------------------------

- Consider running the Access Advisor to improve the physical schema design

or creating the recommended index.

create index DEMO.IDX$$_06C50001 on SYS.SMALLTAB('TABLE_NAME');

 

- Consider running the Access Advisor to improve the physical schema design

or creating the recommended index.

create index DEMO.IDX$$_06C50002 on SYS.BIGTAB('OBJECT_NAME');

 

Rationale

---------

Creating the recommended indices significantly improves the execution plan

of this statement. However, it might be preferable to run "Access Advisor"

using a representative SQL workload as opposed to a single statement. This

will allow to get comprehensive index recommendations which takes into

account index maintenance overhead and additional space consumption.

 

 

EXPLAIN PLANS SECTION

-------------------------------------------------------------------------------

1- Original

-----------

Plan hash value: 3089226980

--------------------------------------------------------------------------------

| Id | Operation | Name | Rows | Bytes | Cost (%CPU)| Time |

 

--------------------------------------------------------------------------------

| 0 | SELECT STATEMENT | | 1 | 36 | 3550 (2)| 00:00:43 |

| 1 | SORT AGGREGATE | | 1 | 36 | | |

|* 2 | HASH JOIN | | 155K| 5462K| 3550 (2)| 00:00:43 |

| 3 | TABLE ACCESS FULL| SMALLTAB | 1223 | 22014 | 11 (0)| 00:00:01 |

| 4 | TABLE ACCESS FULL| BIGTAB | 1205K| 20M| 3526 (1)| 00:00:43 |

--------------------------------------------------------------------------------

Predicate Information (identified by operation id):

---------------------------------------------------

2 - access("A"."OBJECT_NAME"="B"."TABLE_NAME")

2- Using New Indices

--------------------

Plan hash value: 494801882

-----------------------------------------------------------------------------------------

| Id | Operation | Name | Rows | Bytes | Cost (%CPU)| Time |

-----------------------------------------------------------------------------------------

| 0 | SELECT STATEMENT | | 1 | 36 | 1108 (3)| 00:00:14 |

| 1 | SORT AGGREGATE | | 1 | 36 | | |

|* 2 | HASH JOIN | | 155K| 5462K| 1108 (3)| 00:00:14 |

| 3 | INDEX FAST FULL SCAN| IDX$$_06C50001 | 1223 | 22014 | 3 (0)| 00:00:01 |

| 4 | INDEX FAST FULL SCAN| IDX$$_06C50002 | 1205K| 20M| 1093 (2)| 00:00:14 |

-----------------------------------------------------------------------------------------

Predicate Information (identified by operation id):

---------------------------------------------------

2 - access("A"."OBJECT_NAME"="B"."TABLE_NAME")

------------------------------------------------------------------------------

 

看一下这个优化建议报告：

第一部分是关于这次优化任务的基本信息：如任务名称、执行时间、范围、涉及到的语句等等。

 

第二部分是关于这次优化任务的所找到的问题以及给出的优化建议。前面先给出了问题描述：可以通过建立更多的所引来提高性能；然后是建议的具体内容：在表smalltab的字段table_name上创建索引，在表bigtab的字段object_name上创建索引；最后是相关注意事项：此次优化虽然给出了创建索引的建议，但是最好通过SQL访问建议器(SQL Access Advisor SAA)结合整个数据库的工作量来深入分析，那样就能给出考虑了索引维护和空间消耗等因素的更加合理的建议。

最后，报告还给出了原有的查询计划，以及采用优化建议以后的查询计划的对比。可以看出COST值大大下降。

 

 

五、删除优化任务

通过调用dbms_sqltuen.drop_tuning_task可以删除已经存在的优化任务

SQL>exec dbms_sqltune.drop_tuning_task('tuning_sql_test');
PL/SQL procedure successfully completed.

 

 

注： 整理自网络