首页
学习
活动
专区
工具
TVP
发布
精选内容/技术社群/优惠产品,尽在小程序
立即前往

检查mongodb中有线tiger的缓存大小

在云计算领域中,MongoDB是一种流行的NoSQL数据库。它是一个开源的文档型数据库,具有高可扩展性、高性能和灵活的数据模型。以下是关于检查MongoDB中有限Tiger缓存大小的完善和全面的答案:

Tiger缓存是MongoDB的一种缓存机制,用于存储最近访问的数据。它通过在内存中保留常用的数据来提高读取操作的性能。

要检查MongoDB中Tiger缓存的大小,可以使用以下步骤:

步骤1:连接到MongoDB数据库

首先,您需要使用MongoDB客户端连接到目标数据库。您可以使用以下命令连接到MongoDB数据库:

代码语言:txt
复制
mongo

步骤2:切换到admin数据库

接下来,切换到admin数据库以执行管理操作。您可以使用以下命令切换到admin数据库:

代码语言:txt
复制
use admin

步骤3:运行命令查看Tiger缓存大小

一旦连接到admin数据库,您可以运行以下命令来查看Tiger缓存的大小:

代码语言:txt
复制
db.runCommand({ serverStatus: 1, wiredTigerCache: 1 })

此命令将返回有关MongoDB服务器状态的详细信息,其中包括Tiger缓存的大小。

步骤4:解读结果

运行上述命令后,您将看到类似以下输出:

代码语言:txt
复制
{
  "ok" : 1,
  "wiredTiger" : {
    "cache" : {
      "tracked dirty bytes in the cache" : NumberLong("0"),
      "tracked bytes belonging to internal pages in the cache" : NumberLong("0"),
      "tracked bytes belonging to leaf pages in the cache" : NumberLong("0"),
      "pages currently held in the cache" : NumberLong("0"),
      "pages read into cache" : NumberLong("0"),
      "pages written from cache" : NumberLong("0"),
      "pages evicted by application threads" : NumberLong("0"),
      "pages evicted by the cache cleaner" : NumberLong("0"),
      "pages requested from the cache" : NumberLong("0"),
      "pages found in the cache" : NumberLong("0"),
      "cache overflow" : NumberLong("0"),
      "application threads page read from disk to satisfy a cache miss" : NumberLong("0"),
      "application threads page written from cache to disk" : NumberLong("0"),
      "application threads page written requiring cache overflow records" : NumberLong("0"),
      "internal pages evicted" : NumberLong("0"),
      "leaf pages split during eviction" : NumberLong("0"),
      "pages walked for eviction" : NumberLong("0"),
      "pages written from cache overflow to data source" : NumberLong("0"),
      "pages written requiring in-memory restoration" : NumberLong("0"),
      "unmodified pages evicted" : NumberLong("0"),
      "page split during eviction deepened the tree" : NumberLong("0"),
      "modified pages evicted" : NumberLong("0"),
      "pages currently held in the cache overflow table" : NumberLong("0"),
      "pages read into cache requiring in-memory restoration" : NumberLong("0"),
      "eviction walk passes of a file" : NumberLong("0"),
      "eviction walk target pages histogram - 0-9" : NumberLong("0"),
      "eviction walk target pages histogram - 10-31" : NumberLong("0"),
      "eviction walk target pages histogram - 32-63" : NumberLong("0"),
      "eviction walk target pages histogram - 64-127" : NumberLong("0"),
      "eviction walk target pages histogram - 128 and higher" : NumberLong("0"),
      "eviction worker thread evicting pages" : NumberLong("0"),
      "eviction worker thread evicting pages time sleeping (usecs)" : NumberLong("0"),
      "eviction worker thread evicting pages time spent (usecs)" : NumberLong("0"),
      "eviction worker thread eviction walk target elapsed time (usecs)" : NumberLong("0"),
      "eviction worker thread eviction walk time spent (usecs)" : NumberLong("0"),
      "eviction worker thread split bytes currently awaiting free" : NumberLong("0"),
      "eviction worker thread highest return on eviction walk" : NumberLong("0"),
      "eviction worker thread highest return on eviction walk/total byte" : NumberLong("0"),
      "eviction worker thread page relocations requiring disk IO" : NumberLong("0"),
      "eviction worker thread page relocations requiring disk IO/total" : NumberLong("0")
    }
  },
  "ok" : 1
}

在上述输出中,您可以关注以下关键信息:

  • "tracked dirty bytes in the cache":Tiger缓存中的脏数据大小。
  • "tracked bytes belonging to internal pages in the cache":Tiger缓存中属于内部页的数据大小。
  • "tracked bytes belonging to leaf pages in the cache":Tiger缓存中属于叶子页的数据大小。
  • "pages currently held in the cache":当前在缓存中的页数。
  • "pages read into cache":从磁盘读取到缓存的页数。
  • "pages written from cache":从缓存写入到磁盘的页数。

通过观察这些指标,您可以了解Tiger缓存的大小及其使用情况。

对于MongoDB,您可能会想要考虑的腾讯云相关产品是云数据库MongoDB(TencentDB for MongoDB)。它是腾讯云提供的托管MongoDB解决方案,具有高可用性、高性能和可弹性扩展的特点。您可以通过以下链接了解更多关于云数据库MongoDB的信息:https://cloud.tencent.com/product/mongodb

页面内容是否对你有帮助?
有帮助
没帮助

相关·内容

没有搜到相关的合辑

领券