2014-12-25 Created By BaoXinjian

aaarticlea/png;base64,iVBORw0KGgoAAAANSUhEUgAAABQAAAATCAIAAAAf7rriAAABHklEQVQ4jc3Tv0sCcRjH8Wc4/wL9H4T0P3CpXYQcHQpuFIQayjvXQrnulhosHDpQsBZB8Q9wuWu1QVBcbMtNyaAm3y0e/fC4Lmvo4bO++D6fB74CLJdPm0X+MRaRn2HuowziDFNMVBFhajDvsHB4GYXBMQZxRikeVBHh0WDeDo+jKzz5gJ8dXjfAU4NZm4UbEse+4uC1qVYplSgU2Ntf4aHXeXrGLBjX65TLaEXyeTIZdrYjCskEIpLdRdMwTWybOxc/3GpxfsHpCUfH5HKk0xGF5JaHi1gm9jWuP3Ycbm+o1bAsDg9Q1U9YC8b9Pt0uzSZXl/LdrOHxmF6PTodGg0oFXY8oJLzOuveyf+f1vB8si17EDFj7zz5GyPwKvwECQrZ4yvBSdAAAAABJRU5ErkJggg==" alt="" />一、摘要


在ORACLE数据库应用调优中,一个SQL的执行次数/频率也是常常需要关注的,因为某个SQL执行太频繁,要么是由于应用设计有缺陷,需要在业务逻辑上做出优化处理,要么是业务特殊性所导致。

如果执行频繁的SQL,往往容易遭遇一些并发性的问题。

那么如何查看ORACLE数据库某个SQL的执行频率/次数,潇湘隐者同学整理如下,借花献佛了 :)

方法1: 通过查询V$SQLAREA或V$SQL的EXECUTIONS来查看SQL的执行次数;

方法2:通过DBA_HIST_SQLSTAT关联DBA_HIST_SNAPSHOT找出某些SQL的执行次数;

方法3:AWR报告查看某个SQL的执行次数;

aaarticlea/png;base64,iVBORw0KGgoAAAANSUhEUgAAABQAAAATCAIAAAAf7rriAAABHklEQVQ4jc3Tv0sCcRjH8Wc4/wL9H4T0P3CpXYQcHQpuFIQayjvXQrnulhosHDpQsBZB8Q9wuWu1QVBcbMtNyaAm3y0e/fC4Lmvo4bO++D6fB74CLJdPm0X+MRaRn2HuowziDFNMVBFhajDvsHB4GYXBMQZxRikeVBHh0WDeDo+jKzz5gJ8dXjfAU4NZm4UbEse+4uC1qVYplSgU2Ntf4aHXeXrGLBjX65TLaEXyeTIZdrYjCskEIpLdRdMwTWybOxc/3GpxfsHpCUfH5HKk0xGF5JaHi1gm9jWuP3Ycbm+o1bAsDg9Q1U9YC8b9Pt0uzSZXl/LdrOHxmF6PTodGg0oFXY8oJLzOuveyf+f1vB8si17EDFj7zz5GyPwKvwECQrZ4yvBSdAAAAABJRU5ErkJggg==" alt="" />二、三种方法解析


1. 通过查询V$SQLAREA或V$SQL的EXECUTIONS来查看SQL的执行次数

(1). 缺点

但是这个值的有效性需要结合FIRST_LOAD_TIME来判断,因为V$SQLAREA或V$SQL中不保存历史数据,

具有一定的时效性,所以如果要查询很久以前的某个SQL执行次数是办不到的。

(2). 关于V$SQLAREA 栏位介绍

FIRST_LOAD_TIME        VARCHAR2(19)       Timestamp of the parent creation time

EXECUTIONS                 NUMBER                Total number of executions, totalled over all the child cursors

(3). 如何查询

SELECT SQL_ID, SQL_TEXT,FIRST_LOAD_TIME, EXECUTIONS
FROM V$SQLAREA
WHERE SQL_ID = '497wh6n7hu14f'

aaarticlea/png;base64,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" alt="" />

(4). 总结

如果此时清空共享池,那么你会发现V$SQLAREA中对应的SQL的EXECUTIONS次数清零了。

如果要查看某个时间段该SQL语句执行了多少次,那么必须在这两个时间段执行上面SQL语句,两次EXECUTIONS的差值表示这段时间内SQL语句的执行次数。

EXECUTIONS是全局的,往往不能查看某个会话或用户执行了多少次。这也是其局限性之一。

2. 通过DBA_HIST_SQLSTAT关联DBA_HIST_SNAPSHOT找出某些SQL的执行次数。

(1). 缺点

但是部分快照如果没有捕获到有些SQL。这样也就无法通过下面SQL语句查看执行次数。

也是就说这种方法是有缺陷的。执行越频繁的语句,也越容易被SNAPSHOT抓取到.

(2). 执行语法

  SELECT   M.SQL_ID,
TO_CHAR (N.BEGIN_INTERVAL_TIME, 'YYYY-MM-DD') "DATETIME",
SUM (M.EXECUTIONS_DELTA) EXECUTIONS
FROM DBA_HIST_SQLSTAT M, DBA_HIST_SNAPSHOT N
WHERE M.SNAP_ID = N.SNAP_ID
AND M.DBID = N.DBID
AND M.INSTANCE_NUMBER = N.INSTANCE_NUMBER
AND M.INSTANCE_NUMBER = 1
AND TO_CHAR (N.BEGIN_INTERVAL_TIME, 'YYYY-MM-DD') = '2014-12-25'
AND M.SQL_ID = '497wh6n7hu14f'
GROUP BY M.SQL_ID, TO_CHAR (N.BEGIN_INTERVAL_TIME, 'YYYY-MM-DD')
ORDER BY M.SQL_ID

aaarticlea/png;base64,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" alt="" />

3. AWR报告查看某个SQL的执行次数,同上面一样,AWR报告也受SNAPSHOT影响。不一定捕获了你需要查询的SQL

4. 查看当前数据库执行次数最多的SQL,例如,查询执行最频繁的TOP 15的SQL语句。

SELECT   SQL_TEXT, EXECUTIONS
FROM (SELECT SQL_TEXT,
EXECUTIONS,
RANK () OVER (ORDER BY EXECUTIONS DESC) EXEC_RANK
FROM V$SQLAREA)
WHERE EXEC_RANK <= 15;

5. 查看执行SQL的历史记录信息

  SELECT DBMS_LOB.SUBSTR (sql_text, 100, 1) SQL_SHORT,
tab1.sql_id,
DBMS_LOB.getlength (sql_text) SQL_Len,
ROUND (TOTAL_WAIT / 1000000, 2) TOTAL_WAIT_SECS,
ROUND (ELAPSED_TIME_DELTA / 1000000, 2) TOTAL_TIME_SECS,
TO_CHAR (BEGIN_INTERVAL_TIME, 'DAY', 'NLS_DATE_LANGUAGE=AMERICAN')
Week_Day,
BEGIN_INTERVAL_TIME,
END_INTERVAL_TIME,
EXEC_COUNT,
AVG_CPU_TIME_SECS,
AVG_ELAPSED_SECS,
ROUND (ELAPSED_TIME_DELTA / 1000000, 0) ELAPSED_TIME_DELTA,
ROUND (AVG_ROWS_PROCESSED, 1) AVG_ROWS_PROCESSED,
PLAN_HASH_VALUE,
MODULE,
ACTION,
PARSING_SCHEMA_NAME,
(SELECT username
FROM dba_users
WHERE user_id = PARSING_USER_ID)
PARSING_USER,
AVG_BUFFER_GETS,
AVG_DISK_READS,
AVG_IOWAIT AVG_iowai_secs,
AVG_CCWAIT AVG_ccwait_secs,
AVG_CLWAIT AVG_clwait_secs,
AVG_APWAIT AVG_apwait_secs,
AVG_PX_SERVERS,
AVG_PARSE_CALLS,
tab1.SNAP_ID,
tab1.INSTANCE_NUMBER,
AVG_CELL_UNCOMPRESSED_BYTES,
AVG_DIRECT_WRITES,
AVG_IO_INTERCONNECT_BYTES,
AVG_IO_OFFLOAD_ELIG_BYTES,
AVG_IO_OFFLOAD_RETURN_BYTES,
AVG_JAVEXEC_TIME,
AVG_OPTIMIZED_PHYSICAL_READS,
AVG_PLSEXEC_TIME_DELTA,
AVG_SORTS_DELTA,
-- BIND_DATA, -- -- (Falta arreglar) listagg( (select * from table(dbms_sqltune.extract_binds(bind_data)), '#') WITHIN GROUP (ORDER BY 1)) Binds ,
DBMS_LOB.SUBSTR (sql_text, 2000, 1) SQL_TEXT1,
DBMS_LOB.SUBSTR (sql_text, 2000, 2001) SQL_TEXT2,
DBMS_LOB.SUBSTR (sql_text, 2000, 4001) SQL_TEXT3,
DBMS_LOB.SUBSTR (sql_text, 2000, 6001) SQL_TEXT4,
DBMS_LOB.SUBSTR (sql_text, 2000, 8001) SQL_TEXT5,
DBMS_LOB.SUBSTR (sql_text, 2000, 10001) SQL_TEXT6,
DBMS_LOB.SUBSTR (sql_text, 2000, 12001) SQL_TEXT7,
DBMS_LOB.SUBSTR (sql_text, 2000, 14001) SQL_TEXT8,
DBMS_LOB.SUBSTR (sql_text, 2000, 16001) SQL_TEXT9,
DBMS_LOB.SUBSTR (sql_text, 2000, 18001) SQL_TEXT10
FROM DBA_HIST_SQLTEXT D,
DBA_HIST_SNAPSHOT N,
( SELECT S.SQL_ID SQL_ID,
instance_number,
SUM (EXECUTIONS) EXEC_COUNT,
ROUND ( (SUM (CPU_TIME_DELTA) / SUM (EXECUTIONS)) / 1000000,
4)
AVG_CPU_TIME_SECS,
ROUND (
(SUM (ELAPSED_TIME_DELTA) / SUM (EXECUTIONS)) / 1000000,
4)
AVG_ELAPSED_SECS,
SUM (ELAPSED_TIME_DELTA) ELAPSED_TIME_DELTA,
ROUND ( (SUM (ROWS_PROCESSED_DELTA) / SUM (EXECUTIONS)), 4)
AVG_ROWS_PROCESSED,
PLAN_HASH_VALUE,
MODULE,
ACTION,
PARSING_SCHEMA_NAME,
PARSING_USER_ID,
ROUND (SUM (BUFFER_GETS_DELTA) / SUM (EXECUTIONS), 4)
AVG_BUFFER_GETS,
ROUND (SUM (DISK_READS_DELTA) / SUM (EXECUTIONS), 0)
AVG_DISK_READS,
SNAP_ID,
ROUND ( (SUM (IOWAIT_DELTA) / SUM (EXECUTIONS)) / 1000000, 4)
AVG_IOWAIT,
ROUND ( (SUM (CCWAIT_DELTA) / SUM (EXECUTIONS)) / 1000000, 4)
AVG_CCWAIT,
ROUND ( (SUM (CLWAIT_DELTA) / SUM (EXECUTIONS)) / 1000000, 4)
AVG_CLWAIT,
ROUND ( (SUM (APWAIT_DELTA) / SUM (EXECUTIONS)) / 1000000, 4)
AVG_APWAIT,
ROUND (SUM (PX_SERVERS_EXECS_DELTA) / SUM (EXECUTIONS), 4)
AVG_PX_SERVERS,
ROUND (SUM (PARSE_CALLS_DELTA) / SUM (EXECUTIONS), 4)
AVG_PARSE_CALLS,
ROUND (SUM (CELL_UNCOMPRESSED_BYTES_DELTA) / SUM (EXECUTIONS),
4)
AVG_CELL_UNCOMPRESSED_BYTES,
ROUND (SUM (DIRECT_WRITES_DELTA) / SUM (EXECUTIONS), 4)
AVG_DIRECT_WRITES,
ROUND (SUM (IO_INTERCONNECT_BYTES_DELTA) / SUM (EXECUTIONS),
4)
AVG_IO_INTERCONNECT_BYTES,
ROUND (SUM (IO_OFFLOAD_ELIG_BYTES_DELTA) / SUM (EXECUTIONS),
4)
AVG_IO_OFFLOAD_ELIG_BYTES,
ROUND (SUM (IO_OFFLOAD_RETURN_BYTES_DELTA) / SUM (EXECUTIONS),
4)
AVG_IO_OFFLOAD_RETURN_BYTES,
ROUND (SUM (JAVEXEC_TIME_DELTA) / SUM (EXECUTIONS), 4)
AVG_JAVEXEC_TIME,
ROUND (
SUM (OPTIMIZED_PHYSICAL_READS_DELTA) / SUM (EXECUTIONS),
4)
AVG_OPTIMIZED_PHYSICAL_READS,
ROUND (SUM (PLSEXEC_TIME_DELTA) / SUM (EXECUTIONS), 4)
AVG_PLSEXEC_TIME_DELTA,
ROUND (SUM (SORTS_DELTA) / SUM (EXECUTIONS), 4)
AVG_SORTS_DELTA,
SUM (
IOWAIT_DELTA + CCWAIT_DELTA + CLWAIT_DELTA + APWAIT_DELTA)
TOTAL_WAIT,
MAX (BIND_DATA) BIND_DATA
FROM (SELECT S.*,
DECODE (EXECUTIONs_DELTA, 0, 1, EXECUTIONS_DELTA)
EXECUTIONS
FROM DBA_HIST_SQLSTAT S) S
WHERE 1 = 1 -- and ( PARSING_SCHEMA_NAME like 'EUS%' ) -- Filter by schema name
GROUP BY S.SQL_ID,
instance_number,
S.SNAP_ID,
PLAN_HASH_VALUE,
MODULE,
ACTION,
PARSING_SCHEMA_NAME,
S.INSTANCE_NUMBER,
PARSING_USER_ID
HAVING ROUND (
(SUM (ELAPSED_TIME_DELTA) / SUM (EXECUTIONS)) / 1000000,
4) >= 10 -- Filter >= n secs
ORDER BY 5 DESC) TAB1
WHERE D.SQL_ID = TAB1.SQL_ID AND TAB1.snap_id = N.snap_id -- and upper(tab1.module) like '%PKG_BATCH_PROCESSES_SDM%'
AND d.sql_id IN ('6tmcqrydfgdtc') -- AND D.SQL_ID in ( select distinct sql_id from DBA_HIST_ACTIVE_SESS_HISTORY where top_level_sql_id = '85xkhugz5kt8h' )
-- AND upper(DBMS_LOB.SUBSTR (sql_text, 100, 1)) LIKE 'INSERT%'
-- AND upper(DBMS_LOB.SUBSTR (sql_text, 1000, 1)) LIKE 'SELECT%'
-- AND upper(DBMS_LOB.SUBSTR (sql_text, 3000, 1)) LIKE '%INACTIVE%'
AND BEGIN_INTERVAL_TIME > SYSDATE - 60
-- and BEGIN_INTERVAL_TIME between to_date('05/09/2013 07:50:00', 'DD/MM/YYYY hh24:mi:ss') AND to_date('05/09/2013 16:10:00', 'DD/MM/YYYY hh24:mi:ss')
-- and BEGIN_INTERVAL_TIME >= (SELECT job_start_datetime - (2/24) FROM job_status WHERE job_name = 'RAVLDBSK' AND cob_date = (SELECT current_cob_date FROM eus_cob))
-- and BEGIN_INTERVAL_TIME <= (SELECT job_end_datetime + (2/24) FROM job_status WHERE job_name = 'RAVLDBSK' AND cob_date = (SELECT current_cob_date FROM eus_cob))
-- order by AVG_ELAPSED_SECS DESC
-- order by ELAPSED_TIME_DELTA DESC
ORDER BY BEGIN_INTERVAL_TIME DESC
-- order by TOTAL_WAIT_SECS desc;

Thanks and Regards

部分参考:潇湘隐者 - http://www.cnblogs.com/kerrycode/p/4111746.html

aaarticlea/png;base64,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" alt="" />

PLSQL_查询SQL的执行次数和频率(案例)的更多相关文章

  1. PLSQL_监控有些SQL的执行次数和频率

    原文:PLSQL_监控有些SQL的执行次数和频率 2014-12-25 Created By 鲍新建

  2. ORACLE查看SQL的执行次数/频率

    在ORACLE数据库应用调优中,一个SQL的执行次数/频率也是常常需要关注的,因为某个SQL执行太频繁,要么是由于应用设计有缺陷,需要在业务逻辑上做出优化处理,要么是业务特殊性所导致.如果执行频繁的S ...

  3. 一条查询sql的执行流程和底层原理

    1.一条查询SQL执行流程图 2.查询SQL执行流程之发送SQL请求 (1)客户端按照Mysql通信协议将SQL发送到服务端,SQL到达服务端后,服务端会单起一个线程执行SQL. (2)执行时Mysq ...

  4. 查询SQL Server执行过的SQL语句

    SELECT TOP 1000         ST.text AS '执行的SQL语句',        QS.execution_count AS '执行次数',        QS.total_ ...

  5. 面试官:说说一条查询sql的执行流程和底层原理?

    一条查询SQL执行流程图如下 序章 自我介绍 我是一条sql,就是一条长长的字符串,不要问我长什么样,因为我比较傲娇. 额~~不是我不说啊,因为细说起来,我可以细分为DML(Update.Insert ...

  6. 在MySQL中使用explain查询SQL的执行计划

    1.什么是MySQL执行计划 要对执行计划有个比较好的理解,需要先对MySQL的基础结构及查询基本原理有简单的了解. MySQL本身的功能架构分为三个部分,分别是 应用层.逻辑层.物理层,不只是MyS ...

  7. MySql 学习之 一条查询sql的执行过程

    相信大家都接触过Mysql数据库,而且也肯定都会写sql.我不知道大家有没有这样的感受,反正我是有过这样的想法.就是当我把一条sql语句写完了,并且执行完得到想要的结果.这时我就在想为什么我写这样的一 ...

  8. 如何在MySQL中使用explain查询SQL的执行计划?

    1.什么是MySQL执行计划 要对执行计划有个比较好的理解,需要先对MySQL的基础结构及查询基本原理有简单的了解. MySQL本身的功能架构分为三个部分,分别是 应用层.逻辑层.物理层,不只是MyS ...

  9. 【监控笔记】【2.3】扩展事件——慢查询SQL(执行超过3S的SQL)

    --sql server 2008及以上才支持,2012及以上才支持GUI界面 msdn 扩展事件:点击打开链接 [1]T-SQL实现 基于 rpc_completed(远程过程调用已完成时发生) 事 ...

随机推荐

  1. 数据处理项目Beta阶段软件架构建议

    class:Dataserver string serverIP string serverPassword string sqlAccount string sqlPassword bool Dat ...

  2. URAL 2030 Awesome Backup System

    Awesome Backup System Time limit: 2.0 secondMemory limit: 64 MB It is known that all people can be d ...

  3. 计算机算法-C语言-统计字母数字个数解

    Question:输入一串以“?”结尾的字符,分别统计其中字母数字的个数,输出字母及数字的个数. Solve: #include<stdio.h> #include<stdlib.h ...

  4. 黑马程序员——JAVA基础之set集合

    ------- android培训.java培训.期待与您交流! ---------- Set:       元素是无序(存入和取出的顺序不一定一致),元素不可以重复.    Set接口中常用的类: ...

  5. DBN(深度信念网络)

    DBN运用CD算法逐层进行训练,得到每一层的参数Wi和ci用于初始化DBN,之后再用监督学习算法对参数进行微调.本例中采用softmax分类器(下一篇随笔中)作为监督学习算法. RBM与上一篇随笔中一 ...

  6. Unity3d NGUI的使用(九)(UIScrollView制作滑动列表)

    UIScrollView制作滑动列表,可横向,竖直展示一些列表在固定可视范围内 UIScrollVIew只是一个可滑动的UI组件 如果需要制作复杂的可视区域UI需要配合使用UIPanel与UIGrid ...

  7. PostgreSQL and bloat

    The bucardo project has released its nagios plugins for PostgreSQL and we can extract from them this ...

  8. SQL 显示所有表所占存储空间

    USE master SELECT dbname = DB_NAME(), name, , , , /reserved END), , , [记录数] = rowcounts FROM ( SELEC ...

  9. linux安全

    http://drops.wooyun.org/ 最专业的安全知识分享平台 http://www.freebuf.com/ 关注黑客与极客 http://book.beifabook.com/prod ...

  10. 使用ExpandableListView——当有Group选项展开时,如何正确获取长按的Group选项。

    当我们使用ExpandableListView时,实现点击一个GroupView则展开ChidView,那么这个时候,Adapter的大小前后是有变化的. 例如:假设有20个GroupView,每个G ...