AWR中有 DB time这个术语,那么什么是DB time呢?

Oracle10gR2 官方文档 给出了详细解释(Oracle10gPerformance Tuning Guide 5.1.1.2 Time Model Statistics)

The most important of the time model statistics is DB time. This statistics represents the total time spent in
database calls and is a indicator of the total instance workload. It is calculated by aggregating the CPU and 
wait times of all sessions not waiting on idle wait events (non-idle user sessions).

根据官方文档的解释,DB time=DB CPU+ DB waiting time(no-idle time)

那么下面我挑一个session来验证一下

SQL> select sid,stat_id,stat_name,value/1000000/60 from V$sess_TIME_MODEL where sid=194;

SID    STAT_ID STAT_NAME                                          VALUE/1000000/60
---------- ---------- -------------------------------------------------- ----------------
       194 3649082374 DB time                                                  33.5681982
       194 2748282437 DB CPU                                                   32.9633455
       194 4157170894 background elapsed time                                           0
       194 2451517896 background cpu time                                               0
       194 4127043053 sequence load elapsed time                                        0
       194 1431595225 parse time elapsed                                         .0005325
       194  372226525 hard parse elapsed time                                  .000498433
       194 2821698184 sql execute elapsed time                                 33.5674656
       194 1990024365 connection management call elapsed time                  .000047933
       194 1824284809 failed parse elapsed time                                         0
       194 4125607023 failed parse (out of shared memory) elapsed time                  0
       194 3138706091 hard parse (sharing criteria) elapsed time                        0
       194  268357648 hard parse (bind mismatch) elapsed time                           0
       194 2643905994 PL/SQL execution elapsed time                              .0000051
       194  290749718 inbound PL/SQL rpc elapsed time                                   0
       194 1311180441 PL/SQL compilation elapsed time                                   0
       194  751169994 Java execution elapsed time                                       0
       194 1159091985 repeated bind elapsed time                                 .0000001
       194 2411117902 RMAN cpu time (backup/restore)                                    0

19 rows selected.

Elapsed: 00:00:01.61

SQL> select (sysdate-logon_time)*24*60 minutes, username,machine,sid,serial#,event,p1,p2,p3
  2  from v$session where sid=194;

MINUTES USERNAME             MACHINE                     SID    SERIAL# EVENT                     P1    P2         P3
---------- -------------------- -------------------- ---------- ---------- -------------------- ---------- ---------- ----------
34.4833333 WHSUSRGL             NA/BDC-KALIDO001            194      28391 direct path read tem        202      89709          1
                                                                           p

Elapsed: 00:00:01.15

Session 194连接到数据库已经34.4833333分钟,DB time=33.5681982 , CPU time=32.9633455

现在来查询一下ASH,我们知道ASH是每隔1秒钟采样一次

SQL> select count(*)
  2         from v$active_session_history ash, v$event_name enm
  3         where ash.event#=enm.event#
  4         and SESSION_ID=194;

COUNT(*)
----------
        47

那么194这个session大概等待了47秒,也就是等待了大约。78333333分钟

SQL> select 47/60 from dual;

47/60
----------
.783333333

SQL> select 32.9633455+.783333333 from dual;

32.9633455+.783333333
---------------------
           33.7466788

DB CPU + 等待时间=33.7466788 ,而 DB time=33.5681982 他们相差不大,基本上可以说明

DB time=DB CPU+ DB waiting time(no-idle time)

注意:AWR中的DB time等于所有session DB time之和(除去后台进程)

SQL> select SESSION_ID,NAME,P1,P2,P3
  2         from v$active_session_history ash, v$event_name enm
  3         where ash.event#=enm.event#
  4         and SESSION_ID=194;

SESSION_ID NAME                                        P1         P2         P3
---------- ----------------------------------- ---------- ---------- ----------
       194 db file sequential read                    202     106634          1
       194 db file sequential read                    202      53541          1
       194 db file sequential read                    202     204387          1
       194 db file sequential read                    202     242316          1
       194 db file sequential read                    202     251848          1
       194 db file sequential read                    202     201689          1
       194 db file scattered read                      45     480505         16
       194 db file scattered read                      44     169145         16
       194 db file scattered read                      45      32489         16
       194 db file scattered read                      44     316585         16
       194 db file scattered read                      46     255817         16
       194 db file scattered read                      47     204105         16
       194 db file scattered read                      44     236633         16
       194 db file scattered read                      46     222761         16
       194 db file scattered read                      44     232969         16
       194 db file scattered read                      44     230489         16
       194 db file scattered read                      44     227673         16
       194 db file scattered read                      45     177785         16
       194 db file scattered read                      44     292121         16
       194 db file scattered read                      45     136041         16
       194 db file scattered read                      28      17177         16
       194 db file scattered read                      47     233513         16
       194 db file scattered read                      44     222233         16
       194 db file scattered read                      46     211289         16
       194 db file scattered read                      47     152889         16
       194 db file scattered read                      45     164921         16
       194 db file scattered read                      47     149609         16
       194 db file scattered read                      44     312873         16
       194 db file scattered read                      45     157289         16
       194 db file scattered read                      45     155225         16
       194 db file sequential read                     50      30400          1
       194 db file sequential read                     43       8763          1
       194 db file scattered read                      36     518441         16
       194 db file scattered read                      37     504992          4
       194 db file scattered read                      38     195257         16
       194 db file scattered read                      37     209776          9
       194 db file scattered read                      41     119561         16
       194 db file scattered read                      39      62041         16
       194 db file scattered read                      41       4765          2
       194 db file scattered read                      38     438857         16
       194 read by other session                       38     335097          1
       194 latch: cache buffers chains         1.3835E+19        122          0
       194 db file sequential read                     27      52122          1
       194 db file sequential read                     41     140105          1
       194 read by other session                       36      97230          1
       194 db file scattered read                      38      17369         16
       194 db file sequential read                     37       1889          1

47 rows selected.

看AWR的时候,可以拿DB time和采样时间间隔做比较,如果DB time高出采样时间间隔很多,说明数据库负载很大

同样,可以拿DB time和DB CPU比较,如果 DB time高出DB CPU很多,说明数据库出现了显而易见的性能问题

因为等待时间过多。

什么是 db time的更多相关文章

  1. Linux平台 Oracle 10gR2(10.2.0.5)RAC安装 Part3:db安装和升级

    Linux平台 Oracle 10gR2(10.2.0.5)RAC安装 Part3:db安装和升级 环境:OEL 5.7 + Oracle 10.2.0.5 RAC 5.安装Database软件 5. ...

  2. VS15 preview 5打开文件夹自动生成slnx.VC.db SQLite库疑惑?求解答

    用VS15 preview 5打开文件夹(详情查看博客http://www.cnblogs.com/zsy/p/5962242.html中配置),文件夹下多一个slnx.VC.db文件,如下图: 本文 ...

  3. ODBC、OLE DB、 ADO的区别

    转自:http://blog.csdn.net/yinjingjing198808/article/details/7665577 一.ODBC ODBC的由来 1992年Microsoft和Syba ...

  4. Linux平台 Oracle 11gR2 RAC安装Part3:DB安装

    四.DB(Database)安装 4.1 解压DB的安装包 4.2 DB软件安装 4.3 ASMCA创建磁盘组 4.4 DBCA建库 4.5 验证crsctl的状态 Linux平台 Oracle 11 ...

  5. SSRS ----环境配置,没有 ReportServer DB 怎么办?

    今天项目进入报表开发阶段,按照习惯,打开报表管理器,发现提示下面的错误: 错误:报表服务器无法打开与报表服务器数据库的连接.所有请求和处理都要求与数据库建立连接. 这是怎么回事儿呢,经过排查,发现数据 ...

  6. mongo DB for C#

    (1)Download the MongoDB C#驱动. http://www.nuget.org/packages/mongocsharpdriver/. (2) Add Reference to ...

  7. jBPM4.4 no jBPM DB schema: no JBPM4_EXECUTION table. Run the create.jbpm.schema target first in the install tool.

    jBPM4.4 no jBPM DB schema: no JBPM4_EXECUTION table. Run the create.jbpm.schema target first in the ...

  8. oracle db link的查看创建与删除

    1.查看dblink select owner,object_name from dba_objects where object_type='DATABASE LINK'; 或者 select * ...

  9. Gc.Db之循序渐进

    距离上次写Gc.Db框架已经有一段时间了,最近默默对框架代码已经做了不少优化和功能,且已经提交至nuget,大家如果想使用此框架,可以通过nuget搜索:Gc.Db进行下载和安装包. 本篇文章主要是介 ...

  10. oracle Entity db.Database.SqlQuery ORA-01843: 无效的月份

    原因是oracle的日期格式化格式和本地语言环境的日期格式不一致导致的. 一般情景为oralce格式为英文格式 本地服务器或者开发机的环境为中文环境. 使用Dbcontext 实例一般不会有问题. 但 ...

随机推荐

  1. (转)白话经典算法系列之八 MoreWindows白话经典算法之七大排序总结篇

    在我的博客对冒泡排序,直接插入排序,直接选择排序,希尔排序,归并排序,快速排序和堆排序这七种常用的排序方法进行了详细的讲解,并做成了电子书以供大家下载.下载地址为:http://download.cs ...

  2. 8天学通MongoDB——第一天 基础入门

    原文地址:http://www.cnblogs.com/huangxincheng/archive/2012/02/18/2356595.html 关于mongodb的好处,优点之类的这里就不说了,唯 ...

  3. 欧拉工程第54题:Poker hands

    package projecteuler51to60; import java.awt.peer.SystemTrayPeer; import java.io.BufferedReader; impo ...

  4. linux 下Time_wait过多问题解决

    linux 下Time_wait过多问题解决 net.ipv4.tcp_syncookies = 1表示开启SYN Cookies.当出现SYN等待队列溢出时,启用cookies来处理,可防范少量SY ...

  5. 构建高性能web之路------mysql读写分离实战

    http://blog.csdn.net/cutesource/article/details/5710645 http://www.jb51.net/article/38953.htm http:/ ...

  6. WebService另一种轻量级实现—Hessian 学习笔记

    最近和同事聊天,得知他们在使用一种叫做Hessian的WebService实现方式实现远 程方法调用,是轻量级的,不依赖JavaEE容器,同时也是二进制数据格式传输,效率比SOAP的XML方式要高.感 ...

  7. eclipse调试jsp中的scriptlet代码

    在eclipse开发环境下,jsp中的scriptlet代码,也就是<%%>中的java代码,跟普通的java代码一样可以打断点单步调试的! 做个笔记,免得自己忘了!

  8. 安卓自动化测试之MonkeyRunner环境的搭建

    最近在抽时间学习一些安卓自动化的知识,把学到东西都就记录下来,避免以后记性不好忘记,也方便对自己积累知识的查阅 MonkeyRunner是基于坐标点来操作控件的,你可以通过写python脚本来调用mo ...

  9. SQL经典问题 找出连续日期及连续的天数

    转自:http://bbs.csdn.net/topics/360019248 如何取到每段连续日期的起始终止日期以及持续天数及起始日期距上一期终止日期的天数,能否用一句sql实现?备注:数据库环境是 ...

  10. How to write a product backlog step by step

    一般来说,制定发布计划是在尝试回答这个问题:“最晚到什么时候为止,我们可以交付这个新系统的1.0版本“ 下面是验收标准规则的一个例子: 1.  所有重要性>=100的条目都必须在1.0版中发布. ...