Oracle统计、分析和优化环境配置
Oracle统计、分析和优化环境配置
创建批处理文件Login.bat
用于初始化设置系统环境
Login.bat
@echo off
title eoda
mode con cols=140
color 85
set ORACLE_SID=muphy
sqlplus eoda/foo
创建数据库脚本文件login.sql
用于初始化SQL*PLUS运行环境
define _editor=vim --设置编辑器为vim
set serveroutput on size 1000000 --设置打开DBMS_OUTPUT并设置默认缓冲区
set trimspool on --设置去除命令两端的空格
set long 5000 --设置long和clob列时默认显示字节数
set linesize 1000
set pagesize 9999
column plan_plus_exp format a80
column table_name format a30
column index_name format a30
column name format a30
column value format a30
column table format a30
set sqlprompt '&_user.@&_connect_identifier.> ' --设置提示符指示谁登陆到那个数据库
控制报告
SET AUTOTRANCE OFF
SET AUTOTRANCE ON EXPLAIN --只显示执行计划
SET AUTOTRANCE ON STATISTICS --只显示统计结果
SET AUTOTRANCE ONLY --不显示查询结果
SET AUTOTRACE TRANCEONLY EXPLAN --只显示执行计划
配置Statspack
$ sqlplus / as sysdba
sys/eoda > @spcreate
创建统计stats视图
需要有查看视图的权限
conn / as sysdba
grant select on v_$statname to eoda;
grant select on v_$mystat to eoda;
grant select on v_$latch to eoda;
grant select on v_$timer to eoda;
conn eoda/foo
drop table run_stats;
set echo on;
create or replace view stats
as select 'STAT...' || a.name name, b.value
from v$statname a, v$mystat b
where a.statistic# = b.statistic#
union all
select 'LATCH.' || name, gets
from v$latch
union all
select 'STAT...Elapsed Time', hsecs from v$timer;
创建存储统计结果的run_stats表
create global temporary table run_stats
( runid varchar2(15),
name varchar2(80),
value int )
on commit preserve rows;
创建包runstats_pkg
用于比较两个sql之间的性能,会测量3个要素:耗用时间、系统统计信息和闩定
create or replace package runstats_pkg
as
procedure rs_start;
procedure rs_middle;
procedure rs_stop(p_difference_threshold in number default 0 );
end;
/
create or replace package body runstats_pkg
as
g_start number;
g_run1 number;
g_run2 number;
procedure rs_start
is
begin
delete from run_stats;
insert into run_stats
select 'before', stats.* from stats;
g_start := dbms_utility.get_cpu_time;
end;
procedure rs_middle
is
begin
g_run1 := (dbms_utility.get_cpu_time-g_start);
insert into run_stats
select 'after 1', stats.* from stats;
g_start := dbms_utility.get_cpu_time;
end;
procedure rs_stop(p_difference_threshold in number default 0)
is
begin
g_run2 := (dbms_utility.get_cpu_time-g_start);
dbms_output.put_line( 'Run1 ran in ' || g_run1 || ' cpu hsecs' );
dbms_output.put_line( 'Run2 ran in ' || g_run2 || ' cpu hsecs' );
if ( g_run2 <> 0 )
then
dbms_output.put_line
( 'run 1 ran in ' || round(g_run1/g_run2*100,2) ||
'% of the time' );
end if;
dbms_output.put_line( chr(9) );
insert into run_stats
select 'after 2', stats.* from stats;
dbms_output.put_line
( rpad( 'Name', 30 ) || lpad( 'Run1', 16 ) ||
lpad( 'Run2', 16 ) || lpad( 'Diff', 16 ) );
for x in
( select rpad( a.name, 30 ) ||
to_char( b.value-a.value, '999,999,999,999' ) ||
to_char( c.value-b.value, '999,999,999,999' ) ||
to_char( ( (c.value-b.value)-(b.value-a.value)),
'999,999,999,999' ) data
from run_stats a, run_stats b, run_stats c
where a.name = b.name
and b.name = c.name
and a.runid = 'before'
and b.runid = 'after 1'
and c.runid = 'after 2'
and abs( (c.value-b.value) - (b.value-a.value) )
> p_difference_threshold
order by abs( (c.value-b.value)-(b.value-a.value))
) loop
dbms_output.put_line( x.data );
end loop;
dbms_output.put_line( chr(9) );
dbms_output.put_line
( 'Run1 latches total versus runs -- difference and pct' );
dbms_output.put_line
( lpad( 'Run1', 14 ) || lpad( 'Run2', 19 ) ||
lpad( 'Diff', 18 ) || lpad( 'Pct', 11 ) );
for x in
( select to_char( run1, '9,999,999,999,999' ) ||
to_char( run2, '9,999,999,999,999' ) ||
to_char( diff, '9,999,999,999,999' ) ||
to_char( round( run1/decode( run2, 0, to_number(0), run2) *100,2 ), '99,999.99' ) || '%' data
from ( select sum(b.value-a.value) run1, sum(c.value-b.value) run2,
sum( (c.value-b.value)-(b.value-a.value)) diff
from run_stats a, run_stats b, run_stats c
where a.name = b.name
and b.name = c.name
and a.runid = 'before'
and b.runid = 'after 1'
and c.runid = 'after 2'
and a.name like 'LATCH%'
)
) loop
dbms_output.put_line( x.data );
end loop;
end;
end;
/
创建mystat.sql和mystat2.sql查看统计结果
前者统计初始情况,或者统计执行sql之后的情况和报告差异
创建mystat.sql脚本文件
set echo off
set verify off
column value new_val V
define S="&1"
set autotrace off
select a.name, b.value
from v$statname a, v$mystat b
where a.statistic# = b.statistic#
and lower(a.name) = lower('&S')
/
set echo on
创建mystat2.sql脚本文件
set echo off
set verify off
select a.name, b.value V, to_char(b.value-&V,'999,999,999,999') diff
from v$statname a, v$mystat b
where a.statistic# = b.statistic#
and lower(a.name) = lower('&S')
/
set echo on
创建SHOW_SPACE存储过程
用于打印数据库段的空间利用率信息
create or replace procedure show_space
( p_segname in varchar2, -- 段名(表、索引)
p_owner in varchar2 default user, -- 默认为当前用户
p_type in varchar2 default 'TABLE', -- 默认为表类型
p_partition in varchar2 default NULL ) -- 分区对象的分区名
authid current_user
as
l_free_blks number;
l_total_blocks number;
l_total_bytes number;
l_unused_blocks number;
l_unused_bytes number;
l_LastUsedExtFileId number;
l_LastUsedExtBlockId number;
l_LAST_USED_BLOCK number;
l_segment_space_mgmt varchar2(255);
l_unformatted_blocks number;
l_unformatted_bytes number;
l_fs1_blocks number; l_fs1_bytes number;
l_fs2_blocks number; l_fs2_bytes number;
l_fs3_blocks number; l_fs3_bytes number;
l_fs4_blocks number; l_fs4_bytes number;
l_full_blocks number; l_full_bytes number;
-- 内部存储过程,用于格式化打印
procedure p( p_label in varchar2, p_num in number )
is
begin
dbms_output.put_line( rpad(p_label,40,'.') ||
to_char(p_num,'999,999,999,999') );
end;
begin
-- 动态sql判断对象是否ASSM
begin
execute immediate
'select ts.segment_space_management
from dba_segments seg, dba_tablespaces ts
where seg.segment_name = :p_segname
and (:p_partition is null or
seg.partition_name = :p_partition)
and seg.owner = :p_owner
and seg.tablespace_name = ts.tablespace_name'
into l_segment_space_mgmt
using p_segname, p_partition, p_partition, p_owner;
exception
when too_many_rows then
dbms_output.put_line
( 'This must be a partitioned table, use p_partition => ');
return;
end;
-- 如果对象是ASSM 表空间, 调用dbms_space.space_usage
-- 否则调用dbms_space.free_blocks
if l_segment_space_mgmt = 'AUTO'
then
dbms_space.space_usage
( p_owner, p_segname, p_type, l_unformatted_blocks,
l_unformatted_bytes, l_fs1_blocks, l_fs1_bytes,
l_fs2_blocks, l_fs2_bytes, l_fs3_blocks, l_fs3_bytes,
l_fs4_blocks, l_fs4_bytes, l_full_blocks, l_full_bytes, p_partition);
p( 'Unformatted Blocks ', l_unformatted_blocks );
p( 'FS1 Blocks (0-25) ', l_fs1_blocks );
p( 'FS2 Blocks (25-50) ', l_fs2_blocks );
p( 'FS3 Blocks (50-75) ', l_fs3_blocks );
p( 'FS4 Blocks (75-100)', l_fs4_blocks );
p( 'Full Blocks ', l_full_blocks );
else
dbms_space.free_blocks(
segment_owner => p_owner,
segment_name => p_segname,
segment_type => p_type,
freelist_group_id => 0,
free_blks => l_free_blks);
p( 'Free Blocks', l_free_blks );
end if;
-- 调用dbms_space.unused_space获取未使用的空间信息
dbms_space.unused_space
( segment_owner => p_owner,
segment_name => p_segname,
segment_type => p_type,
partition_name => p_partition,
total_blocks => l_total_blocks,
total_bytes => l_total_bytes,
unused_blocks => l_unused_blocks,
unused_bytes => l_unused_bytes,
LAST_USED_EXTENT_FILE_ID => l_LastUsedExtFileId,
LAST_USED_EXTENT_BLOCK_ID => l_LastUsedExtBlockId,
LAST_USED_BLOCK => l_LAST_USED_BLOCK );
p( 'Total Blocks', l_total_blocks );
p( 'Total Bytes', l_total_bytes );
p( 'Total MBytes', trunc(l_total_bytes/1024/1024) );
p( 'Unused Blocks', l_unused_blocks );
p( 'Unused Bytes', l_unused_bytes );
p( 'Last Used Ext FileId', l_LastUsedExtFileId );
p( 'Last Used Ext BlockId', l_LastUsedExtBlockId );
p( 'Last Used Block', l_LAST_USED_BLOCK );
end;
/
Oracle统计、分析和优化环境配置的更多相关文章
- mysql性能优化-慢查询分析、优化索引和配置
一.优化概述 二.查询与索引优化分析 1性能瓶颈定位 Show命令 慢查询日志 explain分析查询 profiling分析查询 2索引及查询优化 三.配置优化 1) max_connec ...
- [转]mysql性能优化-慢查询分析、优化索引和配置
一. 优化概述 MySQL数据库是常见的两个瓶颈是CPU和I/O的瓶颈,CPU在饱和的时候一般发生在数据装入内存或从磁盘上读取数据时候.磁盘I/O瓶颈发生在装入数据远大于内存容量的时候,如果应用分布在 ...
- mysql性能优化-慢查询分析、优化索引和配置 (慢查询日志,explain,profile)
mysql性能优化-慢查询分析.优化索引和配置 (慢查询日志,explain,profile) 一.优化概述 二.查询与索引优化分析 1性能瓶颈定位 Show命令 慢查询日志 explain分析查询 ...
- mysql性能优化-慢查询分析、优化索引和配置【转】
一.优化概述 二.查询与索引优化分析 1性能瓶颈定位 Show命令 慢查询日志 explain分析查询 profiling分析查询 2索引及查询优化 三.配置优化 1) max_connec ...
- mysql性能优化-慢查询分析、优化索引和配置 MySQL索引介绍
MySQL索引介绍 聚集索引(Clustered Index)----叶子节点存放整行记录辅助索引(Secondary Index)----叶子节点存放row identifier-------Inn ...
- 9.mysql性能优化-慢查询分析、优化索引和配置
目录 一.优化概述 二.查询与索引优化分析 1性能瓶颈定位 Show命令 慢查询日志 explain分析查询 profiling分析查询 2索引及查询优化 三.配置优化 max_connections ...
- Oracle性能分析12:对象统计信息
对象统计信息描写叙述数据是如何在数据库中存储的,查询优化器使用这些统计信息来做出正确的决定.Oracle中有三种类型的对象统计信息:表统计.列统计和索引统计.而在每种类型中,有细分为:表或索引级别的统 ...
- Oracle 12cR1 RAC 在VMware Workstation上安装(上)—OS环境配置
Oracle 12cR1 RAC 在VMware Workstation上安装(上)-OS环境配置 1.1 整体规划部分 1.1.1 所需软件介绍 Oracle RAC不支持异构平台.在同一个集群 ...
- Oracle记录-Linux JDK与Oracle profile环境配置
1.LINUX JDK环境配置 #set java environment export JAVA_HOME=/usr/java/jdk1.7.0_79 export JRE_HOME=/usr/ja ...
随机推荐
- Net core学习系列(五)——Net Core应用程序Startup类介绍
一.Startup 类 ASP.NET Core应用程序需要一个启动类,按照惯例命名为Startup.在主程序的Web Host生成器(WebHostBuilderExtensions)的 UseSt ...
- vue+elementui搭建后台管理界面(6登录和菜单权限控制[二])
根据权限计算路由的代码 /** * 通过meta.role判断是否与当前用户权限匹配 * @param roles * @param route */ function hasRoles (roles ...
- ‘Skimming-Perusal’ Tracking: A Framework for Real-Time and Robust Long-term Tracking
‘Skimming-Perusal’ Tracking: A Framework for Real-Time and Robust Long-term Tracking 2019-09-05 21:1 ...
- [转]白话HTTP短连接中的Session和Token
我经常想象并怀念三十年前那原始而美好的互联网旧时光, 工作很轻松, 生活很悠闲. 上班的时候偶尔有些HTTP的请求发到我这里, 我简单的看一下, 取出相对应的html文档,图片,发回去就可以了, 然后 ...
- 如何开发一个npm包并发布到npm中央仓库
转自: https://liaolongdong.com/2019/01/24/publish-public-npm.html 如何开发一个npm包并发布到npm中央仓库需求背景:平时在项目工作中可能 ...
- sql server exec 参数的传递
来源:https://www.cnblogs.com/guohu/p/11142991.html 1 :普通SQL语句可以用exec执行 Select * from tableName exec('s ...
- Nginx 配置 HTTP 代理
配置如下 #user nobody; worker_processes 1; #error_log logs/error.log; #error_log logs/error.log notice; ...
- 【翻译】Flink Table Api & SQL —Streaming 概念 ——在持续查询中 Join
本文翻译自官网 : Joins in Continuous Queries https://ci.apache.org/projects/flink/flink-docs-release-1.9 ...
- 【Shell常用命令二】管道符 通配符
======================================
- [LeetCode] 95. Unique Binary Search Trees II 唯一二叉搜索树 II
Given n, generate all structurally unique BST's (binary search trees) that store values 1...n. For e ...