DBMS_SQLTUNE使用方法
SQL调优工具包DBMS_SQLTUNE的使用方法
oracle 提供了优化建议功能包DBMS_SQLTUNE,该包可以帮助我们分析SQL,并提供优化建议。
原有执行计划
alter session set statistics_level=all;
set serveroutput off
select * from test.emp where ename='SCOTT' and DEPTNO=20;
SELECT * FROM table(dbms_xplan.display_cursor(NULL,NULL,'runstats_last'));
PLAN_TABLE_OUTPUT
------------------------------------------------------------------------------------------------------------------------
SQL_ID 8k1gbrapm7zpd, child number 0
-------------------------------------
select * from test.emp where ename='SCOTT' and DEPTNO=20
Plan hash value: 3956160932
------------------------------------------------------------------------------------
| Id | Operation | Name | Starts | E-Rows | A-Rows | A-Time | Buffers |
------------------------------------------------------------------------------------
| 0 | SELECT STATEMENT | | 1 | | 1 |00:00:00.01 | 4 |
|* 1 | TABLE ACCESS FULL| EMP | 1 | 1 | 1 |00:00:00.01 | 4 |
-------------------------------------------------------------------------------------
Predicate Information (identified by operation id):
---------------------------------------------------
1 - filter(("ENAME"='SCOTT' AND "DEPTNO"=20))
下面就用DBMS_SQLTUNE优化该SQL
--1.赋予用户ADVISOR权限
grant ADVISOR to test;
--2.创建sql tuning任务
conn test/test
DECLARE
my_task_name VARCHAR2(30);
my_sqltext CLOB;
BEGIN
my_sqltext := 'select * from emp where ename= :name and DEPTNO= :deptno';
my_task_name := DBMS_SQLTUNE.CREATE_TUNING_TASK(
sql_text => my_sqltext,
bind_list => sql_binds(anydata.convertvarchar2(10),anydata.convertnumber(2)),
user_name => 'TEST',
scope => 'COMPREHENSIVE',
time_limit => 60,
task_name => 'test_sql_tuning',
description => 'Task to tune a query on emp');
END;
/
参数说明:
bind_list:多个绑定变量以','逗号分隔。参数值一定要根据绑定变量对应的列的类型书写.
如:emp.ename类型是VARCHAR2(10),那么就要写成
bind_list =>sql_binds(anydata.convertvarchar2(10)),
time_limit:执行的最长时间,默认是60。
scope:
LIMITED,用大概1秒时间去优化SQL语句,但是并不进行SQL Profiling分析。
COMPREHENSIVE,进行全面分析,包含SQL Profiling分析;比LIMITED用时更长。
**也可以用sql_id创建sql tunning任务,比用sql_text方便很多
FUNCTION CREATE_TUNING_TASK RETURNS VARCHAR2
Argument Name Type In/Out Default?
------------------------------ ----------------------- ------ --------
SQL_ID VARCHAR2 IN
PLAN_HASH_VALUE NUMBER IN DEFAULT
SCOPE VARCHAR2 IN DEFAULT
TIME_LIMIT NUMBER IN DEFAULT
TASK_NAME VARCHAR2 IN DEFAULT
DESCRIPTION VARCHAR2 IN DEFAULT
DECLARE
my_task_name VARCHAR2(30);
BEGIN
my_task_name := DBMS_SQLTUNE.CREATE_TUNING_TASK(
SQL_ID => 'ddw7j6yfnw0vz',
scope => 'COMPREHENSIVE',
time_limit => 60,
task_name => 'tunning_task_ddw7j6yfnw0vz',
description => 'Task to tune a query on ddw7j6yfnw0vz');
END;
/
/*2014-4-8日增加 end*/
--3.查看任务名 SELECT TASK_NAME
FROM DBA_ADVISOR_LOG
WHERE OWNER = 'TEST';
TASK_NAME
------------------------------
test_sql_tuning
--4.执行sql tuning任务
BEGIN
DBMS_SQLTUNE.EXECUTE_TUNING_TASK( task_name => 'test_sql_tuning' );
END;
/
--5.查看sql tunning任务状态
SELECT status
FROM USER_ADVISOR_TASKS
WHERE task_name = 'test_sql_tuning';
STATUS
-----------
COMPLETED
--6.展示sql tunning结果
SET LONG 10000
SET LONGCHUNKSIZE 1000
SET LINESIZE 100
SELECT DBMS_SQLTUNE.REPORT_TUNING_TASK('test_sql_tuning')
FROM DUAL;
DBMS_SQLTUNE.REPORT_TUNING_TASK('TEST_SQL_TUNING')
----------------------------------------------------------------------------------------------------
GENERAL INFORMATION SECTION
-------------------------------------------------------------------------------
Tuning Task Name : test_sql_tuning
Tuning Task Owner : TEST
Workload Type : Single SQL Statement
Scope : COMPREHENSIVE
Time Limit(seconds): 60
Completion Status : COMPLETED
Started at : 04/01/2014 16:45:16
Completed at : 04/01/2014 16:45:17
DBMS_SQLTUNE.REPORT_TUNING_TASK('TEST_SQL_TUNING')
----------------------------------------------------------------------------------------------------
-------------------------------------------------------------------------------
Schema Name: TEST
SQL ID : 95fv6dbj64d0f
SQL Text : select * from emp where ename= :name and DEPTNO= :deptno
-------------------------------------------------------------------------------
FINDINGS SECTION (2 findings)
-------------------------------------------------------------------------------
1- Statistics Finding
---------------------
DBMS_SQLTUNE.REPORT_TUNING_TASK('TEST_SQL_TUNING')
----------------------------------------------------------------------------------------------------
Table "TEST"."EMP" was not analyzed.
Recommendation
--------------
- Consider collecting optimizer statistics for this table.
execute dbms_stats.gather_table_stats(ownname => 'TEST', tabname =>
'EMP', estimate_percent => DBMS_STATS.AUTO_SAMPLE_SIZE,
method_opt => 'FOR ALL COLUMNS SIZE AUTO');
Rationale
---------
DBMS_SQLTUNE.REPORT_TUNING_TASK('TEST_SQL_TUNING')
----------------------------------------------------------------------------------------------------
The optimizer requires up-to-date statistics for the table in order to
select a good execution plan.
2- 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: 66.67%)
------------------------------------------
- Consider running the Access Advisor to improve the physical schema design
DBMS_SQLTUNE.REPORT_TUNING_TASK('TEST_SQL_TUNING')
----------------------------------------------------------------------------------------------------
or creating the recommended index.
create index TEST.IDX$$_00D80001 on TEST.EMP("ENAME","DEPTNO");
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.
DBMS_SQLTUNE.REPORT_TUNING_TASK('TEST_SQL_TUNING')
----------------------------------------------------------------------------------------------------
-------------------------------------------------------------------------------
EXPLAIN PLANS SECTION
-------------------------------------------------------------------------------
1- Original
-----------
Plan hash value: 3956160932
--------------------------------------------------------------------------
| Id | Operation | Name | Rows | Bytes | Cost (%CPU)| Time |
--------------------------------------------------------------------------
DBMS_SQLTUNE.REPORT_TUNING_TASK('TEST_SQL_TUNING')
----------------------------------------------------------------------------------------------------
| 0 | SELECT STATEMENT | | 1 | 87 | 3 (0)| 00:00:01 |
|* 1 | TABLE ACCESS FULL| EMP | 1 | 87 | 3 (0)| 00:00:01 |
--------------------------------------------------------------------------
Predicate Information (identified by operation id):
---------------------------------------------------
1 - filter("ENAME"=:NAME AND "DEPTNO"=:DEPTNO)
2- Using New Indices
--------------------
DBMS_SQLTUNE.REPORT_TUNING_TASK('TEST_SQL_TUNING')
----------------------------------------------------------------------------------------------------
Plan hash value: 2106247215
----------------------------------------------------------------------------------------------
| Id | Operation | Name | Rows | Bytes | Cost (%CPU)| Time |
----------------------------------------------------------------------------------------------
| 0 | SELECT STATEMENT | | 1 | 87 | 1 (0)| 00:00:01 |
| 1 | TABLE ACCESS BY INDEX ROWID| EMP | 1 | 87 | 1 (0)| 00:00:01 |
|* 2 | INDEX RANGE SCAN | IDX$$_00D80001 | 1 | | 1 (0)| 00:00:01 |
----------------------------------------------------------------------------------------------
Predicate Information (identified by operation id):
DBMS_SQLTUNE.REPORT_TUNING_TASK('TEST_SQL_TUNING')
----------------------------------------------------------------------------------------------------
---------------------------------------------------
2 - access("ENAME"=:NAME AND "DEPTNO"=:DEPTNO)
-------------------------------------------------------------------------------
建议报告总结:
<1>收集EMP表的统计信息
execute dbms_stats.gather_table_stats(ownname => 'TEST', tabname =>'EMP', estimate_percent => DBMS_STATS.AUTO_SAMPLE_SIZE,method_opt => 'FOR ALL COLUMNS SIZE AUTO');
<2>创建索引
create index TEST.IDX$$_00D80001 on TEST.EMP("ENAME","DEPTNO");
优化后执行计划
--------------------------------------------------------------------------------------------------------
| Id | Operation | Name | Starts | E-Rows | A-Rows | A-Time | Buffers |
--------------------------------------------------------------------------------------------------------
| 0 | SELECT STATEMENT | | 1 | | 1 |00:00:00.01 | 3 |
| 1 | TABLE ACCESS BY INDEX ROWID| EMP | 1 | 1 | 1 |00:00:00.01 | 3 |
|* 2 | INDEX RANGE SCAN | IDX$$_00D80001 | 1 | 1 | 1 |00:00:00.01 | 2 |
--------------------------------------------------------------------------------------------------------
Predicate Information (identified by operation id):
---------------------------------------------------
2 - access("ENAME"='SCOTT' AND "DEPTNO"=20)
--7.完成后删除sql tunning任务
EXEC DBMS_SQLTUNE.DROP_TUNING_TASK('test_sql_tuning');
--8.其他
--sql tunning任务创建后,也可以修改参数
BEGIN
DBMS_SQLTUNE.SET_TUNING_TASK_PARAMETER(
task_name => 'test_sql_tuning',
parameter => 'TIME_LIMIT', value => 300);
END;
/
--查看SQL Tuning Advisor的进展(task执行很久)
col opname for a20
col ADVISOR_NAME for a20
SELECT SID,SERIAL#,USERNAME,OPNAME,ADVISOR_NAME,TARGET_DESC,START_TIME SOFAR, TOTALWORK
FROM V$ADVISOR_PROGRESS
WHERE USERNAME = 'TEST';
以上根据oracle doc整理
http://docs.oracle.com/cd/E11882_01/server.112/e41573/sql_tune.htm#PFGRF94856
转载:
http://blog.chinaunix.net/uid-23284114-id-4192029.html
DBMS_SQLTUNE使用方法的更多相关文章
- javaSE27天复习总结
JAVA学习总结 2 第一天 2 1:计算机概述(了解) 2 (1)计算机 2 (2)计算机硬件 2 (3)计算机软件 2 (4)软件开发(理解) 2 (5) ...
- ORACLE SQL TUNING ADVISOR 使用方法
sql tunning advisor 使用的主要步骤: 1 建立tunning task 2 执行task 3 显示tunning 结果 4 根据建议来运行相应的调优方法 下面来按照这个顺序来实施 ...
- ORACLE获取SQL绑定变量值的方法总结
本文总结一下ORACLE数据库中如何获取SQL绑定变量值的方法,在SQL优化调优过程中,经常会用到这方面的知识点.在此梳理.总结一下,方面日后查找.翻阅. 方法1:查询V$SQL V$SQL视图中 ...
- Oracle之SQL优化专题02-稳固SQL执行计划的方法
首先构建一个简单的测试用例来实际演示: create table emp as select * from scott.emp; create table dept as select * from ...
- dbms_sqltune.report_sql_monitor 自动调优
--创建 dbms_sqltune.create_tuning_task ; --执行 dbms_sqltune.execute_tuning_task; --产看创建的task 和 status S ...
- sqlt 之 分析 DB upgrade 导致SQL 性能下降 的方法 xplore
https://blog.csdn.net/lukeUnique/article/details/79331779 https://mauro-pagano.com/2014/10/27/when-t ...
- 利用DBMS_SQLTUNE优化SQL
DBMS_SQLTUNE优化SQL是在oracle10g才出来的新特性,使用它能很大程度上方便对sql的分析和优化.执行DBMS_SQLTUNE包进行sql优化需要有advisor的权限: stat& ...
- mapreduce多文件输出的两方法
mapreduce多文件输出的两方法 package duogemap; import java.io.IOException; import org.apache.hadoop.conf ...
- 【.net 深呼吸】细说CodeDom(6):方法参数
本文老周就给大伙伴们介绍一下方法参数代码的生成. 在开始之前,先补充一下上一篇烂文的内容.在上一篇文章中,老周检讨了 MemberAttributes 枚举的用法,老周此前误以为该枚举不能进行按位操作 ...
随机推荐
- springboot 上传图片与回显
在网上找了很多例子,不能完全契合自己的需求,自行整理了下.需求是这样的:项目小,所以不需要单独的图片服务器,图片保存在服务器中任意的地方,并且可以通过访问服务器来获取图片.话不多说上代码: 1.依赖 ...
- Django去操作已经存在的数据库
你有没有遇到过这种情况? 数据库,各种表结构已经创建好了,甚至连数据都有了,此时,我要用Django管理这个数据库,ORM映射怎么办??? Django是最适合所谓的green-field开发,即从头 ...
- IDEA里运行代码时出现Error:scalac: error while loading JUnit4, Scala signature JUnit4 has wrong version expected: 5.0 found: 4.1 in JUnit4.class错误的解决办法(图文详解)
不多说,直接上干货! 问题详情 当出现这类错误时是由于版本不匹配造成的 Information:// : - Compilation completed with errors and warnin ...
- Kafka 0.9 新消费者API
kafka诞生之初,它自带一个基于scala的生产者和消费者客户端.但是慢慢的我们认识到这些API有很多限制.比如,消费者有一个“高级”API支持分组和异常控制,但是不支持很多更复杂的应用场景:它也有 ...
- Helper Devise: could not find the `Warden::Proxy` instance on request environment
在使用devise这个gem时,编写控制器层的单元测试,你需要在你的rspec帮助文件 rails_helper.rb里添加下面这一样 RSpec.configure do |config| conf ...
- 【LESS系列】基本语法
这里将直接以实例的方式展示 LESS 的基本语法. less code 是编译前的代码,css code 是编译后的代码. 本文的内容,同样是引自[http://www.ibm.com/develop ...
- <数据挖掘导论>读书笔记1
数据预处理: 1.聚集:将两个或者多个对象合并成单个对象. 2.抽样:一种选择数据对象子集进行分析的常用方法.抽象方法:简单随机抽样 和渐进抽样 3.维度约:我觉得翻译的不好,英文明细是降维.降维技术 ...
- Java代码在本地运行没有问题。上传到阿里云服务器后。出现了中文乱码解决
java -Dfile.encoding=UTF-8 -jar project.jar
- C#操作Redis String字符串
/// <summary> /// Redis String 操作 /// </summary> public static void Redis_String() { Red ...
- WebDriverWait介绍
转自:https://www.cnblogs.com/ella-yao/p/7778678.html WebDriverWait介绍 package com.test.elementwait; imp ...