• MMS关键指标意义&各数值区间意义


    MMS关键指标意义&各数值区间意义


    What's MMS

    MongoDB Management Service (MMS) is a suite of services for managing MongoDB deployments.

    统计图表的数据来源

    all statistics can show in mongo shell by:

    >db.serverStatus()
    

    1. opcounters
      意义:The average number of commands performed per second since the last data point
      代表忙不忙,越小越好。(看业务)
      opcounters
    2. queue

    意义:The number of operations queued waiting for any lock -- 排队未执行的命令
    越小越好,平时<1
    此处输入图片的描述
    3. connection

    意义:The number of currently active connections to this server. A stack is allocated per connection; thus very many connections can result in significant RAM usage.
    越小越好。
    =client (connected) * 集群server 数目
    此处输入图片的描述
    4. lock

    意义:The percent of time write locked. The effective lock % is the percent of time in the global lock plus the percent of time locked by the hottest database. Because the data is sampled and combined, it is possible to see values over 100%.
    越小越好。
    造成锁增加的行为:update delete insert ...
    此处输入图片的描述
    5. Btree

    意义:A large number of misses means that you are indexes are too big to fit in RAM, which can cause a significant performance penalty -- 因为数据不再mem,从disk 加载到mem。
    mongodb 使用 btree index
    missratio = misses/access 最好是0
    access: The number of times the btree indexes have been accessed.
    hits:The number of times a btree page was in memory
    misses: The number of times a btree page was not in memory
    注意:不要只看一条线
    此处输入图片的描述
    6. Asserts

    意义:The number of regular asserts raised since this process started
    "asserts" : {
    "regular" : ,
    "warning" : ,
    "msg" : ,
    "user" : ,
    "rollovers" :
    },
    不要只看一条线
    此处输入图片的描述
    7. Page faults
    The number of page faults on this process. In non-Windows environments this is hard page faults only.
    越小越好。
    此处输入图片的描述
    ref:link

  • 相关阅读:
    Python pandas 入门 05 JSON
    Python matplotlib 画图入门 07 散点图
    Python matplotlib 画图入门 06 绘制多图
    Python pandas 入门 04 CSV 文件
    Python pandas 入门 01 安装
    Python 入门示例系列 35 迭代器与生成器
    Python matplotlib 画图入门 03 绘图线
    Python pandas 入门 目录
    Python 零散知识点琐碎知识
    Python numpy 入门系列 目录
  • 原文地址:https://www.cnblogs.com/no7dw/p/4623325.html
Copyright © 2020-2023  润新知