概述

This project meant to provide useful scripts for DB maintance and management, to make work easier and interesting...

今天主要分享一个shell脚本,主要是为了统计最消耗CPU资源的sql语句等..


一、环境准备

1、配置tnsnames.ora

保证别名和ORACLE_SID一致,后面脚本需要

# vim /u01/app/oracle/product/11.2.0/db_1/network/admin/tnsnames.ora =================================================================== MDMDB = (DESCRIPTioN = (ADDRESS = (PROTOCOL = TCP)(HOST =xx.xx.65)(PORT = 1521)) (CONNECT_DATA = (SERVER = DEDICATED) (SERVICE_NAME = MDMDB) ) ) ===================================================================

oracle数据库函数汇总持续更新(DBA常用脚本shell转换--最消耗CPU资源的SQL语句)(1)

2、测试连接

oracle数据库函数汇总持续更新(DBA常用脚本shell转换--最消耗CPU资源的SQL语句)(2)


二、初始化脚本settdb.sh

use script settdb.sh for DB login details registry

oracle数据库函数汇总持续更新(DBA常用脚本shell转换--最消耗CPU资源的SQL语句)(3)

输出:

oracle数据库函数汇总持续更新(DBA常用脚本shell转换--最消耗CPU资源的SQL语句)(4)



三、turning.sh

统计最近10分钟,最消耗CPU资源的SQL语句、最近30分钟,最消耗IO资源的会话、根据io消耗前十sql的会话id,查出操作系统号并组合杀进程语句

#!/bin/bash echo "========================================查询最近10分钟,最消耗CPU资源的SQL语句=================================================" sqlplus -S $DB_CONN_STR@$SH_DB_SID <<EOF set linesize 1000 pages 500 prompt CPU in 10m set line 234 col sql_text for a70 select sql_id, cnt, pctload, substr(sql_text, 1, 70) sql_text from (select ash.sql_id, count(*) cnt, max(s.sql_text) sql_text, max(s.parsing_schema_name) parsing_schema_name, round(count(*) / sum(count(*)) over(), 2) pctload from v\$active_session_history ash, v\$sqlarea s where ash.sql_id = s.sql_id and sample_time > sysdate - 10 / (24 * 60) and session_type <> 'BACKGROUND' and session_state = 'ON CPU' group by ash.sql_id order by count(*) desc) where rownum <= 20; exit EOF echo "========================================查询最近30分钟,最消耗IO资源的会话=================================================" sqlplus -S $DB_CONN_STR@$SH_DB_SID <<EOF prompt IO in 30m set line 234 col sql_text for a70 select session_id, cnt, substr(sql_text, 1, 70) sql_text from (select ash.session_id, count(*) cnt, max(s.sql_text) sql_text, max(s.parsing_schema_name) parsing_schema_name, round(count(*) / sum(count(*)) over(), 2) pctload from v\$active_session_history ash, v\$sqlarea s where ash.sql_id = s.sql_id( ) and sample_time > sysdate - 30 / (24 * 60) and session_type <> 'BACKGROUND' and session_state = 'WAITING' and wait_class = 'User I/O' group by ash.session_id order by count(*) desc) where rownum <= 20; exit EOF echo "========================================根据io消耗前十sql的会话id,查出操作系统号并组合杀进程语句=================================================" sqlplus -S $DB_CONN_STR@$SH_DB_SID <<EOF prompt TOPSQL by IO set line 234 col sql_text for a70 select session_id, session_serial#, cnt, substr(sql_text, 1, 70) sql_text from (select ash.session_id, ash.session_serial#, count(*) cnt, max(s.sql_text) sql_text, max(s.parsing_schema_name) parsing_schema_name, round(count(*) / sum(count(*)) over(), 2) pctload from v\$active_session_history ash, v\$sqlarea s where ash.sql_id = s.sql_id( ) and sample_time > sysdate - 5 / (24 * 60) and session_type <> 'BACKGROUND' and session_state = 'WAITING' and wait_class = 'User I/O' group by ash.session_id, ash.session_serial# order by count(*) desc) where rownum <= 10; exit EOF

输出结果:

oracle数据库函数汇总持续更新(DBA常用脚本shell转换--最消耗CPU资源的SQL语句)(5)


后面会分享更多devops和dba方面内容,感兴趣的朋友可以关注下!

oracle数据库函数汇总持续更新(DBA常用脚本shell转换--最消耗CPU资源的SQL语句)(6)

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