zoukankan      html  css  js  c++  java
  • LGWR TRACE Warning: log write time

    同学们大概偶尔也会在事务繁忙的Oracle数据库的LGWR日志进程的TRACE里找到如下的内容:
    Warning: log write time 1730ms, size 155KB
    *** 2011-09-12 22:56:05.407
    Warning: log write time 810ms, size 1KB
    *** 2011-09-12 22:56:06.990
    Warning: log write time 1590ms, size 154KB
    *** 2011-09-12 22:56:07.670
    Warning: log write time 600ms, size 109KB
    *** 2011-09-12 22:56:09.903
    Warning: log write time 1790ms, size 190KB
    *** 2011-09-12 22:56:11.704
    Warning: log write time 1800ms, size 126KB
    *** 2011-09-12 22:56:12.854
    Warning: log write time 710ms, size 70KB
    
    
    这些TRACE记录说明LGWR在写出REDO BUFFER到REDO LOGFILE联机日志文件时单次的日志写时间超过了500ms: The above warning messages has been introduced in 10.2.0.4 patchset. The warning message will be generated only if the log write time is more than 500 ms and it will be written to the lgwr trace file. Solution These messages are expected in a 10.2.0.4 database in case the log write is more than 500 ms. This is a warning which means that the write process is not as fast as it intented to be. So, probably you need to check if the disk is slow or not or for any potential OS causes. If everything looks fine at the hardware level or OS level then you can safely ignore these messages. The trace file can easily be deleted or truncated. Also, according to Bug:7559549 , these trace can be disabled by setting event 10468 level 4." 该TRACE信息由10.2.0.4 patchset引入,当LGWR写日志文件单次超过500ms时触发写"Warning: log write time "信息到lgwr trace,如果该信息频繁出现可能意为这潜在的OS IO问题(如果TOP等待事件中还有log file sync、gc buffer busy则值得注意该LGWR IO缓慢问题), 如果在硬件或OS层面都没有问题、且该日志记录出现并不频繁则可以忽略该问题,也可以通过设置10468 EVENT LEVEL 4来禁止写出"Warning: log write time "警告信息。 实际控制这里500ms的是_long_log_write_warning_threshold(threshold for long log write warning messages in ms)隐藏参数,该参数可以在线设置: SQL> alter system set "_long_log_write_warning_threshold"=2000 ; System altered.
  • 相关阅读:
    一些零碎小知识点积累随笔
    STM32学习笔记——新建工程模板步骤(向原子哥学习)
    记一次电信反射xss的挖掘与利用
    mysql字符串操作相关函数用法总结
    mysql学习笔记
    sigmoid function的直观解释
    多变量线性回归时使用梯度下降(Gradient Descent)求最小值的注意事项
    SAE中Python无法创建多线程的解决方案
    BCNF/3NF 数据库设计范式简介
    web.py下获取get参数
  • 原文地址:https://www.cnblogs.com/macleanoracle/p/2968071.html
Copyright © 2011-2022 走看看