Oracle 11G统计信息自动收集及调整
查询统计信息的收集所对应的task,以及当前状态
col CLIENT_NAME for a50
col TASK_NAME for a20
SELECT client_name, task_name, status
FROM dba_autotask_task
WHERE client_name = 'auto optimizer stats collection';
auto optimizer stats collection gather_stats_prog ENABLED;
CLIENT_NAME TASK_NAME STATUS
--------------- ------------------ ----------------- -------
auto optimizer stats collection gather_stats_prog ENABLED
select * from v$version;
BANNER
--------------------------------------------------------------------------------
Oracle Database 11g Enterprise Edition Release 11.2.0.4.0 - 64bit Production
PL/SQL Release 11.2.0.4.0 - Production
CORE 11.2.0.4.0 Production
TNS for Linux: Version 11.2.0.4.0 - Production
NLSRTL Version 11.2.0.4.0 - Production
下面查询dba_scheduler_programs
--在scheduler_programs中，程序GATHER_STATS_PROG调用
--dbms_stats.gather_database_stats_job_proc来实现统计信息的自动收集
col PROGRAM_ACTION for a50
SELECT program_action, number_of_arguments, enabled
FROM dba_scheduler_programs
WHERE owner = 'SYS'
AND program_name = 'GATHER_STATS_PROG';
PROGRAM_ACTION NUMBER_OF_ARGUMENTS ENABL
-------------------------------------------------- ------------------- -----
dbms_stats.gather_database_stats_job_proc 0 TRUE
2、查看自动收集统计信息是否开启
SELECT CLIENT_NAME, STATUS
FROM DBA_AUTOTASK_CLIENT
WHERE CLIENT_NAME = 'auto optimizer stats collection';
CLIENT_NAME STATUS
---------------------------------------------------------------- --------
auto optimizer stats collection ENABLED
统计信息收集的窗口组，如下查询
SELECT window_group
FROM dba_autotask_client
WHERE client_name = 'auto optimizer stats collection';
WINDOW_GROUP
----------------------------------------------------------------
ORA$AT_WGRP_OS
查询统计信息收集的具体窗口
--统计信息收集的时间窗口
--如下查询周一至周五时间为22点，周六日为6点
--此外持续也不相同，周一至周五为4小时，周六日为20个小时
--enabled为true表明当前的这些作业处于激活状态
col REPEAT_INTERVAL for a60
col DURATION for a30
SELECT w.window_name, w.repeat_interval, w.duration, w.enabled
FROM dba_autotask_window_clients c, dba_scheduler_windows w
WHERE c.window_name = w.window_name
AND c.optimizer_stats = 'ENABLED';
WINDOW_NAME REPEAT_INTERVAL DURATION ENABL
------------------------------ ------------------------------------------------------------ ------------------------------ -----
MONDAY_WINDOW freq=daily;byday=MON;byhour=22;byminute=0; bysecond=0 +000 04:00:00 TRUE
TUESDAY_WINDOW freq=daily;byday=TUE;byhour=22;byminute=0; bysecond=0 +000 04:00:00 TRUE
WEDNESDAY_WINDOW freq=daily;byday=WED;byhour=22;byminute=0; bysecond=0 +000 04:00:00 TRUE
THURSDAY_WINDOW freq=daily;byday=THU;byhour=22;byminute=0; bysecond=0 +000 04:00:00 TRUE
FRIDAY_WINDOW freq=daily;byday=FRI;byhour=22;byminute=0; bysecond=0 +000 04:00:00 TRUE
SATURDAY_WINDOW freq=daily;byday=SAT;byhour=6;byminute=0; bysecond=0 +000 20:00:00 TRUE
SUNDAY_WINDOW freq=daily;byday=SUN;byhour=6;byminute=0; bysecond=0 +000 20:00:00 TRUE
查看自动收集统计信息历史执行情况
SELECT * FROM dba_autotask_client_history WHERE client_name LIKE '%stats%';
CLIENT_NAME WINDOW_NAME WINDOW_START_TIME WINDOW_DURATION JOBS_CREATED JOBS_STARTED JOBS_COMPLETED WINDOW_END_TIME
---------------------------------------------------------------- ----------------------------------------------------------------- -------------------------------------------------------------------------------- ------------------------------------------------------------------------------- ------------ ------------ -------------- --------------------------------------------------------------------------------
auto optimizer stats collection WEDNESDAY_WINDOW 24-APR-19 10.00.00.084731 PM +08:00 +000000000 03:59:59.989882 1 1 1 25-APR-19 02.00.00.074613 AM +08:00
auto optimizer stats collection THURSDAY_WINDOW 25-APR-19 10.00.00.075150 PM +08:00 +000000000 03:59:59.973396 1 1 1 26-APR-19 02.00.00.048546 AM +08:00
auto optimizer stats collection FRIDAY_WINDOW 26-APR-19 10.00.00.088460 PM +08:00 +000000000 03:59:59.986848 1 1 1 27-APR-19 02.00.00.075308 AM +08:00
auto optimizer stats collection SATURDAY_WINDOW 27-APR-19 06.00.02.066587 AM +08:00 +000000000 19:59:58.014463 5 5 5 28-APR-19 02.00.00.081050 AM +08:00
auto optimizer stats collection SUNDAY_WINDOW 28-APR-19 06.00.00.180330 AM +08:00 +000000000 19:59:59.883249 5 5 5 29-APR-19 02.00.00.063579 AM +08:00
auto optimizer stats collection MONDAY_WINDOW 29-APR-19 10.00.00.071791 PM +08:00 +000000000 04:00:00.027280 1 1 1 30-APR-19 02.00.00.099071 AM +08:00
auto optimizer stats collection TUESDAY_WINDOW 30-APR-19 10.00.00.093139 PM +08:00 +000000000 03:59:59.989633 1 1 1 01-MAY-19 02.00.00.082772 AM +08:00
auto optimizer stats collection WEDNESDAY_WINDOW 01-MAY-19 10.00.00.104952 PM +08:00 +000000000 03:59:59.971842 1 1 1 02-MAY-19 02.00.00.076794 AM +08:00
auto optimizer stats collection THURSDAY_WINDOW 02-MAY-19 10.00.01.068409 PM +08:00 +000000000 03:59:58.983145 1 1 1 03-MAY-19 02.00.00.051554 AM +08:00
auto optimizer stats collection FRIDAY_WINDOW 03-MAY-19 10.00.00.077000 PM +08:00 +000000000 03:59:59.993378 1 1 1 04-MAY-19 02.00.00.070378 AM +08:00
auto optimizer stats collection SATURDAY_WINDOW 04-MAY-19 06.00.01.062949 AM +08:00 +000000000 19:59:59.018980 5 5 5 05-MAY-19 02.00.00.081929 AM +08:00
auto optimizer stats collection SUNDAY_WINDOW 05-MAY-19 06.00.00.073691 AM +08:00 +000000000 20:00:01.010166 5 5 5 06-MAY-19 02.00.01.083857 AM +08:00
auto optimizer stats collection MONDAY_WINDOW 06-MAY-19 10.00.00.090751 PM +08:00 +000000000 03:59:59.989213 1 1 1 07-MAY-19 02.00.00.079964 AM +08:00
auto optimizer stats collection TUESDAY_WINDOW 07-MAY-19 10.00.00.064104 PM +08:00 +000000000 04:00:00.016201 1 1 1 08-MAY-19 02.00.00.080305 AM +08:00
auto optimizer stats collection WEDNESDAY_WINDOW 08-MAY-19 10.00.00.065315 PM +08:00 +000000000 04:00:00.018545 1 1 1 09-MAY-19 02.00.00.083860 AM +08:00
auto optimizer stats collection THURSDAY_WINDOW 09-MAY-19 10.00.00.073837 PM +08:00 +000000000 03:59:59.980112 1 1 1 10-MAY-19 02.00.00.053949 AM +08:00
auto optimizer stats collection FRIDAY_WINDOW 10-MAY-19 10.00.00.074381 PM +08:00 +000000000 03:59:59.999777 1 1 1 11-MAY-19 02.00.00.074158 AM +08:00
auto optimizer stats collection SATURDAY_WINDOW 11-MAY-19 06.00.01.071340 AM +08:00 +000000000 19:59:59.004645 5 5 5 12-MAY-19 02.00.00.075985 AM +08:00
auto optimizer stats collection SUNDAY_WINDOW 12-MAY-19 06.00.01.066112 AM +08:00 +000000000 19:59:59.015558 5 5 5 13-MAY-19 02.00.00.081670 AM +08:00
auto optimizer stats collection MONDAY_WINDOW 13-MAY-19 10.00.01.074773 PM +08:00 +000000000 03:59:58.975154 1 1 1 14-MAY-19 02.00.00.049927 AM +08:00
CLIENT_NAME WINDOW_NAME WINDOW_START_TIME WINDOW_DURATION JOBS_CREATED JOBS_STARTED JOBS_COMPLETED WINDOW_END_TIME
---------------------------------------------------------------- ----------------------------------------------------------------- -------------------------------------------------------------------------------- ------------------------------------------------------------------------------- ------------ ------------ -------------- --------------------------------------------------------------------------------
auto optimizer stats collection TUESDAY_WINDOW 14-MAY-19 10.00.00.098044 PM +08:00 +000000000 03:59:59.951603 1 1 1 15-MAY-19 02.00.00.049647 AM +08:00
auto optimizer stats collection WEDNESDAY_WINDOW 15-MAY-19 10.00.00.099538 PM +08:00 +000000000 03:59:59.989331 1 1 1 16-MAY-19 02.00.00.088869 AM +08:00
auto optimizer stats collection THURSDAY_WINDOW 16-MAY-19 10.00.00.107495 PM +08:00 +000000000 03:59:59.938235 1 1 1 17-MAY-19 02.00.00.045730 AM +08:00
auto optimizer stats collection FRIDAY_WINDOW 17-MAY-19 10.00.00.084708 PM +08:00 +000000000 03:59:59.985142 1 1 1 18-MAY-19 02.00.00.069850 AM +08:00
auto optimizer stats collection SATURDAY_WINDOW 18-MAY-19 06.00.01.090394 AM +08:00 +000000000 19:59:58.980792 5 5 5 19-MAY-19 02.00.00.071186 AM +08:00
auto optimizer stats collection SUNDAY_WINDOW 19-MAY-19 06.00.01.075840 AM +08:00 +000000000 19:59:58.978655 5 5 5 20-MAY-19 02.00.00.054495 AM +08:00
auto optimizer stats collection MONDAY_WINDOW 20-MAY-19 10.00.00.109763 PM +08:00 +000000000 03:59:59.956340 1 1 1 21-MAY-19 02.00.00.066103 AM +08:00
auto optimizer stats collection TUESDAY_WINDOW 21-MAY-19 10.00.00.081639 PM +08:00 +000000000 03:59:59.965244 1 1 1 22-MAY-19 02.00.00.046883 AM +08:00
auto optimizer stats collection WEDNESDAY_WINDOW 22-MAY-19 10.00.01.060724 PM +08:00 +000000000 03:59:59.041174 1 1 1 23-MAY-19 02.00.00.101898 AM +08:00
auto optimizer stats collection THURSDAY_WINDOW 23-MAY-19 10.00.00.092859 PM +08:00 +000000000 03:59:59.978915 1 1 1 24-MAY-19 02.00.00.071774 AM +08:00
30 rows selected
统计信息收集调度时间禁用及修改
1、启用自动收集统计信息
BEGIN
DBMS_AUTO_TASK_ADMIN.ENABLE(client_name => 'auto optimizer stats collection',
operation => NULL,
window_name => NULL);
END;
2、禁用自动收集统计信息
BEGIN
DBMS_AUTO_TASK_ADMIN.DISABLE(client_name => 'auto optimizer stats collection',
operation => NULL,
window_name => NULL);
END;
或者：
--禁用自动收集
exec DBMS_AUTO_TASK_ADMIN.DISABLE(client_name => 'auto optimizer stats collection',operation => NULL,window_name => NULL);
--启用自动收集
exec DBMS_AUTO_TASK_ADMIN.ENABLE(client_name => 'auto optimizer stats collection',operation => NULL,window_name => NULL);
--查看job
SQL> select client_name,status from dba_autotask_client; CLIENT_NAME STATUS
---------------------------------------------------------------- --------
auto optimizer stats collection ENABLED
auto space advisor ENABLED
sql tuning advisor ENABLED SQL>
3、--执行上面的代码后，验证是否被禁用
CLIENT_NAME STATUS
---------------------------------------------------------------- --------
auto optimizer stats collection ENABLED
关闭单个调度时间窗口
BEGIN
DBMS_AUTO_TASK_ADMIN.disable(client_name => 'auto optimizer stats collection',
operation => NULL,
window_name => 'MONDAY_WINDOW');
END;
/
--验证关闭情况，如下，optimizer_stats列为DISABLED
SELECT window_name, window_next_time, window_active, optimizer_stats
FROM dba_autotask_window_clients
WHERE window_name = 'MONDAY_WINDOW'
ORDER BY window_next_time;
WINDOW_NAME WINDOW_NEXT_TIME WINDO OPTIMIZE
------------------------------ --------------------------------------------------------------------------- ----- --------
MONDAY_WINDOW 27-MAY-19 10.00.00.000000 PM PRC FALSE ENABLED
关闭所有时间调度窗口，验证略
BEGIN
DBMS_AUTO_TASK_ADMIN.disable (
client_name => 'auto optimizer stats collection',
operation => NULL,
window_name => NULL);
END;
/
开启单个调度时间窗口及所有时间调度窗口，只需要使用enable过程
-- 注：单个应指定窗口名字，如window_name => 'MONDAY_WINDOW'
BEGIN
DBMS_AUTO_TASK_ADMIN.enable (
client_name => 'auto optimizer stats collection',
operation => NULL,
window_name => NULL);
END;
/
--修改时间窗口到特定的时间
--如下示例，将周五时间窗口时间到晚间23点30分
BEGIN
DBMS_SCHEDULER.DISABLE(name => '"SYS"."FRIDAY_WINDOW"', force => TRUE);
END; BEGIN
DBMS_SCHEDULER.SET_ATTRIBUTE(name => '"SYS"."FRIDAY_WINDOW"',
attribute => 'REPEAT_INTERVAL',
VALUE => 'FREQ=WEEKLY;BYDAY=FRI;BYHOUR=23;BYMINUTE=30;BYSECOND=0');
END; BEGIN
DBMS_SCHEDULER.ENABLE(name => '"SYS"."FRIDAY_WINDOW"');
END;
--验证修改
SELECT w.window_name, w.repeat_interval, w.duration, w.enabled
FROM dba_autotask_window_clients c, dba_scheduler_windows w
WHERE c.window_name = w.window_name
AND c.optimizer_stats = 'ENABLED'
AND c.window_name = 'FRIDAY_WINDOW';
WINDOW_NAME REPEAT_INTERVAL DURATION ENABLED
------------------------------ -------------------------------------------------------------------------------- ------------------------------------------------------------------------------- -------
FRIDAY_WINDOW freq=daily;byday=FRI;byhour=22;byminute=0; bysecond=0 +000 04:00:00 TRUE
--新增维护时间窗口
-- 假定我们要处理的是修改周一的时间窗口
-- 首先关闭周一的时间窗口
BEGIN
DBMS_AUTO_TASK_ADMIN.disable(client_name => 'auto optimizer stats collection',
operation => NULL,
window_name => 'MONDAY_WINDOW');
END;
/
--接下来创建一个窗口并设定时间调度间隔
--如下，每周一5点执行，持续时间为1小时
BEGIN
DBMS_SCHEDULER.create_window(window_name => 'STATS_WINDOW',
resource_plan => 'DEFAULT_MAINTENANCE_PLAN',
repeat_interval => 'freq=daily;byday=MON;byhour=5;byminute=0; bysecond=0',
duration => INTERVAL '' HOUR,
comments => 'Test window for stats task');
EXCEPTION
WHEN OTHERS THEN
IF SQLCODE = -27477 THEN
NULL;
ELSE
RAISE;
END IF;
END; BEGIN
DBMS_SCHEDULER.set_attribute('STATS_WINDOW', 'SYSTEM', TRUE);
DBMS_SCHEDULER.set_attribute('STATS_WINDOW',
'FOLLOW_DEFAULT_TIMEZONE',
TRUE);
EXCEPTION
WHEN OTHERS THEN
IF SQLCODE = -27477 THEN
NULL;
ELSE
RAISE;
END IF;
END;
/
SELECT window_name, repeat_interval, enabled
FROM dba_scheduler_windows
WHERE window_name = 'STATS_WINDOW';
--接下来将窗口STATS_WINDOW添加到维护窗口组
BEGIN
DBMS_SCHEDULER.add_window_group_member('MAINTENANCE_WINDOW_GROUP',
'STATS_WINDOW');
END;
/
SELECT WINDOW_NAME, WINDOW_NEXT_TIME, WINDOW_ACTIVE, OPTIMIZER_STATS
FROM DBA_AUTOTASK_WINDOW_CLIENTS
WHERE WINDOW_NAME in ('STATS_WINDOW', 'MONDAY_WINDOW')
ORDER BY WINDOW_NEXT_TIME;
手工执行统计信息的自动收集
--执行下面的这个存储过程
EXEC DBMS_AUTO_TASK_IMMEDIATE.GATHER_OPTIMIZER_STATS;
--如下查询，scott表上的统计信息已更新
select TABLE_NAME,NUM_ROWS,BLOCKS,LAST_ANALYZED from dba_tables where TABLE_NAME='TB_OBJS';
Oracle 11G统计信息自动收集及调整的更多相关文章
- oracle的统计信息的查看与收集
查看某个表的统计信息 SQL> alter session set NLS_DATE_FORMAT='YYYY-MM-DD HH24:MI:SS'; Session altered. SQL&g ...
- 验证Oracle收集统计信息参数granularity数据分析的力度
最近在学习Oracle的统计信息这一块,收集统计信息的方法如下: DBMS_STATS.GATHER_TABLE_STATS ( ownname VARCHAR2, ---所有者名字 tabname ...
- Oracle自动统计信息的收集原理及实验
[日期:2014-11-21]来源:Linux社区 作者:stevendbaguo[字体:大 中 小] 从Oracle Database 10g开始,Oracle在建库后就默认创建了一个名为GATH ...
- oracle学习----统计信息
1.收集统计信息的方式 for all columns size skewonly BEGIN DBMS_STATS.GATHER_TABLE_STATS(ownname => ...
- Oracle Statistic 统计信息 小结
oraclestatisticstabledatabasesqldictionary 目录(?)[-] 直方图上列的信息说明 直方图类型说明 一. Statistic 说明 Oracle 官 ...
- oracle自动统计信息
在11g中,默认自动收集统计信息的时间为晚上10点(周一到周五,4个小时),早上6点(周六,周日,20个小时), select a.window_name, a.repeat_interval,a ...
- Oracle 搜集统计信息
常用的统计信息收集脚本: 非分区表: BEGIN DBMS_STATS.GATHER_TABLE_STATS(ownname => 'SCOTT', ...
- ORACLE收集统计信息
1. 理解什么是统计信息 优化器统计信息就是一个更加详细描述数据库和数据库对象的集合,这些统计信息被用于查询优化器,让其为每条SQL语句选择最佳的执行计划.优化器统计信息包括: · ...
- ORACLE 收集统计信息
1. 理解什么是统计信息优化器统计信息就是一个更加详细描述数据库和数据库对象的集合,这些统计信息被用于查询优化器,让其为每条SQL语句选择最佳的执行计划.优化器统计信息包括: · ...
随机推荐
- Quick Sort(快速排序）
Quick Sort Let's arrange a deck of cards. Your task is to sort totally n cards. A card consists of a ...
- springboot整合PageHelper
1.在pom文件中引入Pagehelper分页插件 <!-- 分页插件 --> <dependency> <groupId>com.github.pagehelpe ...
- [HNOI2013] 消毒 - 二分图匹配
容易发现 \(a,b,c\) 中至少有一个 \(\leq 17\) 不妨将其调剂为 \(a\),那么我们可以暴力枚举哪些 \(x\) 片片要被直接削掉,剩下的拍扁成二维情况 二维时,如果有一个格子是 ...
- USACO06DEC 牛奶模式
题意:求最长的可重叠的 K重复子串 的长度 考虑二分长度s,转化为验证性问题. 对SA进行分组.保证组内Height最小为s.这样在组内RMQ就可以任意了,因为RMQ一定是大于S的. 只要组内元素个数 ...
- C++中局部变量的返回
在写 “根据中序和后序遍历顺序,构建树的问题” 时,原本这只是一个非常简单的问题,但是突然发现一直有错误.代码如下: node* get_root(int x1, int x2, int y1, in ...
- JDBC没有导入驱动jar包
- 2019-08-12 纪中NOIP模拟B组
T1 [JZOJ4879] 少女觉 题目描述 “在幽暗的地灵殿中,居住着一位少女,名为古明地觉.” “据说,从来没有人敢踏入过那座地灵殿,因为人们恐惧于觉一族拥有的能力——读心.” “掌控人心者,可控 ...
- mybatis（五）：源码分析 - mapper文件解析流程
- python3读取、写入、追加写入excel文件
由于excel版本不同,python处理的时候选择的库页不同. 一.操作对应版本表格需要用到的库 1.操作xls格式的表格文件,需要用到的库如下: 读取:xlrd 写入:xlwt 修改(追加写入):x ...
- Web渗透测试思路整理
信息收集: 域名/IP 子域名列表 whois: 注册地址,注册人,联系方式等 whois反查: 同ip有哪些站点(旁注),同一个注册人注册了哪些域名 社工注册人信息 指纹识别: 操作系统及版本 数据 ...