RAC Wait Event: gcs log flush sync

https://www.hhutzler.de/blog/rac-wait-event_gcs_log_flush_sync/#overview-gcs-log-flush-sync-wait-event


Overview : gcs log flush sync wait event

  • Before sending a reconstructed CR block or CUR block, LMS will verify that corresponding redo vectors are flushed to disk.
  • LMS will flush request a log flush when there are uncomitted transactions within the required block -> Increasing commit frequence will increase this wait event too
  • Use lfsdiag.sql script to understand the wait time suffered by LGWR process
  • If the redo vector are not flushed, LMS on node2 need to wait for ‘gcs log flush sync’ event after requesting LGWR for a log flush, analogous to ‘log file sync’ event.
  • in a healthy database 90 % of GCS Log flush Sync should be 2ms ore less
  • Always check related instances for LOG FILE SYNC event as this event also reduces the Redo I/O bandwith
  • If gcs log flush sync wait event is significant then you need to understand your LGWR performance ( you may use lfsdiag,sql script )

Monitor gv$session wait events for LGWR, LMS processes

SQL> select w.inst_id, w.sid,w.program, w.event , w.STATE , w.SECONDS_IN_WAIT SEC_in_WAIT , w.P1TEXT || ': '  || w.P1 || ' - '    || w.P2TEXT  || ': '  || w.P2 || ' - '
      || w.P3TEXT || ': '  || w.P3 as P1_P2_P3 from gv$session w where
       program like '%LGWR%' or program like '%LMS%' or  program like '%JDBC%' order by program; INST_ID        SID PROGRAM                EVENT                 STATE         SEC_IN_WAIT P1_P2_P3
------- ---------- -------------------------------- ---------------------------- ------------------ ----------- ---------------------------------------------     
2      18 oracle@grac42.example.com (LGWR) log file parallel write      WAITED SHORT TIME  0 files: 1 - blocks: 1 - requests: 1
     2     13 oracle@grac42.example.com (LMS0) gcs log flush sync           WAITING            0 waittime: 30 - poll: 0 - event: 138

Gcs Log Flush Sync Wait histogramms

Script:@event_histogram_from_awr.sql

Acceptable gcs log flush sync histogramm (90 % of wait requests returns in less that 2 ms )
BEGIN_INTERVAL_TIME           Inst    SNAP_ID EVENT_NAME     WAIT_TIME_MILLI WAIT_COUNT
------------------------------ ---- ---------- ---------------- --------------- ----------
28-NOV-13 04.24.27.507 PM      1       876 gcs log flush sync              1      58940
                  1       876 gcs log flush sync              2      51775
                  1       876 gcs log flush sync            4    1433
                  1       876 gcs log flush sync              8        605
                  1       876 gcs log flush sync             16        271
                  1       876 gcs log flush sync             32        181
                  1       876 gcs log flush sync            64        133
                  1       876 gcs log flush sync            128      78
                  1       876 gcs log flush sync            256     7
                  1       876 gcs log flush sync            512    1 Gcs log flush sync wait histogramm with high wait times
28-NOV-13 04.25.58.021 PM      1       877 gcs log flush sync               1        304
                  1       877 gcs log flush sync               2        662
                  1       877 gcs log flush sync               4      11816
                  1       877 gcs log flush sync              8      46981  
                  1       877 gcs log flush sync              16      68740 
                  1       877 gcs log flush sync              32        202
                  1       877 gcs log flush sync              64        141
                  1       877 gcs log flush sync             128     83
                  1       877 gcs log flush sync             256      8
                  1       877 gcs log flush sync             512      1

References

http://www.orainternals.com/wp-content/uploads/2010/02/riyaj_advanced_rac_troubleshooting_rmoug_2010_doc.pdf

1、event_histogram_from_awr.sql

set linesize 180
set pagesize 200
col BEGIN_INTERVAL_TIME format A30
col instance_number format 99 head Inst
break on  BEGIN_INTERVAL_TIME
/*
define event_name="gcs log flush sync"
define event_name="log file sync"
*/
select snaps.begin_interval_time, snaps.instance_number,snaps.snap_id,hist.event_name , hist.wait_time_milli, hist.wait_count
  from dba_hist_event_histogram hist, dba_hist_snapshot snaps
 where snaps.snap_id = hist.snap_id and snaps.instance_number = hist.instance_number and
   snaps.begin_interval_time > sysdate - 1/12   -- sysdate - 1/12 -> display AWR reports from the last 2 hours
   AND hist.event_name = lower ('&&event_name')
 order by  snaps.snap_id , snaps.instance_number, wait_time_milli;
 

Contents

    1. Overview : gcs log flush sync wait event
    2. Monitor gv$session wait events for LGWR, LMS processes
    3. Gcs Log Flush Sync Wait histogramms
    4. References

Overview : gcs log flush sync wait event

  • Before sending a reconstructed CR block or CUR block, LMS will verify that corresponding redo vectors are flushed to disk.
  • LMS will flush request a log flush when there are uncomitted transactions within the required block -> Increasing commit frequence will increase this wait event too
  • Use lfsdiag.sql script to understand the wait time suffered by LGWR process
  • If the redo vector are not flushed, LMS on node2 need to wait for ‘gcs log flush sync’ event after requesting LGWR for a log flush, analogous to ‘log file sync’ event.
  • in a healthy database 90 % of GCS Log flush Sync should be 2ms ore less
  • Always check related instances for LOG FILE SYNC event as this event also reduces the Redo I/O bandwith
  • If gcs log flush sync wait event is significant then you need to understand your LGWR performance ( you may use lfsdiag,sql script )

Monitor gv$session wait events for LGWR, LMS processes

SQL> select w.inst_id, w.sid,w.program, w.event , w.STATE , w.SECONDS_IN_WAIT SEC_in_WAIT , w.P1TEXT || ': '  || w.P1 || ' - '    || w.P2TEXT  || ': '  || w.P2 || ' - '
      || w.P3TEXT || ': '  || w.P3 as P1_P2_P3 from gv$session w where
       program like '%LGWR%' or program like '%LMS%' or  program like '%JDBC%' order by program; INST_ID        SID PROGRAM                EVENT                 STATE         SEC_IN_WAIT P1_P2_P3
------- ---------- -------------------------------- ---------------------------- ------------------ ----------- ---------------------------------------------     
2      18 oracle@grac42.example.com (LGWR) log file parallel write      WAITED SHORT TIME  0 files: 1 - blocks: 1 - requests: 1
     2     13 oracle@grac42.example.com (LMS0) gcs log flush sync           WAITING            0 waittime: 30 - poll: 0 - event: 138

Gcs Log Flush Sync Wait histogramms

Script:@event_histogram_from_awr.sql

Acceptable gcs log flush sync histogramm (90 % of wait requests returns in less that 2 ms )
BEGIN_INTERVAL_TIME           Inst    SNAP_ID EVENT_NAME     WAIT_TIME_MILLI WAIT_COUNT
------------------------------ ---- ---------- ---------------- --------------- ----------
28-NOV-13 04.24.27.507 PM      1       876 gcs log flush sync              1      58940
                  1       876 gcs log flush sync              2      51775
                  1       876 gcs log flush sync            4    1433
                  1       876 gcs log flush sync              8        605
                  1       876 gcs log flush sync             16        271
                  1       876 gcs log flush sync             32        181
                  1       876 gcs log flush sync            64        133
                  1       876 gcs log flush sync            128      78
                  1       876 gcs log flush sync            256     7
                  1       876 gcs log flush sync            512    1 Gcs log flush sync wait histogramm with high wait times
28-NOV-13 04.25.58.021 PM      1       877 gcs log flush sync               1        304
                  1       877 gcs log flush sync               2        662
                  1       877 gcs log flush sync               4      11816
                  1       877 gcs log flush sync              8      46981  
                  1       877 gcs log flush sync              16      68740 
                  1       877 gcs log flush sync              32        202
                  1       877 gcs log flush sync              64        141
                  1       877 gcs log flush sync             128     83
                  1       877 gcs log flush sync             256      8
                  1       877 gcs log flush sync             512      1 资料二:

How To Solve “gcs log flush sync” Wait Event

Posted on December 30, 2018 by dbtut

In busy databases you may encounter this wait event. The general reason is the low redo log I/O performance or the slow interconnect connection.

As a solution of this wait event;

  • You can increase the performance of Interconnect network. For example, instead of 1g cards, you can create an interconnect interface on 10g cards.
  • You can move Redo log files onto faster disks.
  • Or, you can set the value of the _cr_server_log_flush parameter to false. This is not suggested.

You can change the value of the parameter as follows.

 
1
2
3
SQL> alter system set "_cr_server_log_flush"=false scope=both sid='*';
 
System altered.

RAC Wait Event: gcs log flush sync 等待事件 转的更多相关文章

  1. RAC 性能分析 - 'log file sync' 等待事件

    简介 本文主要讨论 RAC 数据库中的'log file sync' 等待事件.RAC 数据库中的'log file sync' 等待事件要比单机数据库中的'log file sync' 等待事件复杂 ...

  2. 完全揭秘log file sync等待事件-转自itpub

    原贴地址:http://www.itpub.net/thread-1777234-1-1.html   谢谢 guoyJoe 老大 这里先引用一下tanel poder大师的图: 什么是log fil ...

  3. Oracle数据库由dataguard备库引起的log file sync等待

    导读: 最近数据库经常出现会话阻塞的报警,过一会又会自动消失,昨天晚上恰好发生了一次,于是赶紧进行了查看,不看不知道,一看吓一跳,发现是由dataguard引起的log file sync等待.我们知 ...

  4. log file sync等待超高案例浅析

    监控工具DPA发现海外一台Oracle数据库服务器DB Commit Time指标告警,超过红色告警线(40毫秒左右,黄色告警是10毫秒,红色告警线是20毫秒),如下截图所示,生成了对应的时段的AWR ...

  5. log file sync等待超高一例

    这是3月份某客户的情况,原因是server硬件故障后进行更换之后,业务翻译偶尔出现提交缓慢的情况.我们先来看下awr的情况. 我们能够看到,该系统的load profile信息事实上并不高,每秒才21 ...

  6. log buffer space等待事件

    最近,我们有台服务器在delete操作期间发现一直在等待log buffer space,其他节点就没与这个问题.经查,向重做缓冲区上写入重做记录的进程,为了确保拥有重做缓冲区内必要的空间,需要获得r ...

  7. RAC性能分析 - gc buffer busy acquire 等待事件

    概述---------------------gc buffer busy是RAC数据库中常见的等待事件,11g开始gc buffer  busy分为gc buffer busy acquire和gc ...

  8. oracle之 等待事件LOG FILE SYNC (awr)优化

    log file sycn是ORACLE里最普遍的等待事件之一,一般log file sycn的等待时间都非常短 1-5ms,不会有什么问题,但是一旦出问题,往往都比较难解决.什么时候会产生log f ...

  9. ORACLE等待事件: log file parallel write

    log file parallel write概念介绍 log file parallel write 事件是LGWR进程专属的等待事件,发生在LGWR将日志缓冲区(log_buffer)中的重做日志 ...

随机推荐

  1. 转://IO的基础概念

    磁盘IO.网络IO 对磁盘的每个IO就是在磁盘与一些RAM单元之间相互传送一些相邻的扇区的内容.   磁盘IO延时(IO Latency):         也称为IO响应时间,是指内核对磁盘发出一个 ...

  2. C#冒泡排序算法(简单好理解)

    我对冒泡排序算法的理解: 把最大的往后,从最后一个与前一个对比,然后互换位置,直到全部换好. 目标:从小到大排序 源代码如下: namespace net冒泡排序{ class Program { s ...

  3. #Java学习之路——基础阶段(第十一篇)

    我的学习阶段是跟着CZBK黑马的双源课程,学习目标以及博客是为了审查自己的学习情况,毕竟看一遍,敲一遍,和自己归纳总结一遍有着很大的区别,在此期间我会参杂Java疯狂讲义(第四版)里面的内容. 前言: ...

  4. shell编写小技巧整理

    1. if和else语句可以进行嵌套.if的条件判断部分可能会变得很长,可以使用逻辑运算符将它变得简洁一些. [ condition ] && action :如果condition为 ...

  5. 用ASP.NET Core 2.0 建立规范的 REST API -- DELETE, UPDATE, PATCH 和 Log

    本文所需的一些预备知识可以看这里: http://www.cnblogs.com/cgzl/p/9010978.html 和 http://www.cnblogs.com/cgzl/p/9019314 ...

  6. 如何加速golang写业务的开发速度

    如何加速golang写业务的开发速度 不要忌讳panic golang写业务代码经常会被吐槽,写业务太慢了,其中最大的吐槽点就是,处理各种error太麻烦了.一个项目中,会有30%或者更多的是在处理e ...

  7. FloatingActionButtonDemo【悬浮按钮的使用,顺带snackBar的使用】

    版权声明:本文为HaiyuKing原创文章,转载请注明出处! 前言 FloatingActionButton简称FAB. 一. 对于App或某个页面中是否要使用FloatingActionButton ...

  8. LVS(五)LVS的持久连接

    什么是持久链接 把某个客户端的请求始终定向到同一应用服务器上.对于LVS来说持久连接和算法没有关系.也就是使用任何算法LVS都可以实现同一客户端的请求转发到之前选定的应用服务器,以保持会话.而且还能实 ...

  9. Mac使用Gradle上传jar到中央仓库(最完整的采坑记录)

    前言 当我们封装完成我们自己做的工具之后,那我们肯定想要发给别人让别人来进行使用,上传到中央仓库是一种引入时最方便的选择. 网上有很多教程,但是大多都是maven和windows的环境. 今天就来记录 ...

  10. WebApiClient与Asp.net core DI的结合

    1 WebApiClient 一款基于HttpClient封装,只需要定义c#接口并修饰相关特性,即可异步调用远程http接口的客户端库 WebApiClient WebApiClient.Exten ...