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：

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：

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：

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：

{
  "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