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Question: How can I enable caching in MongoDB?


Caching is a crucial feature for enhancing the performance of database systems, including MongoDB. MongoDB internally uses caching to improve the efficiency of database operations. The primary mechanism for this is the WiredTiger storage engine's cache.

WiredTiger, MongoDB's default storage engine since version 3.2, automatically handles caching. However, you might want to configure cache settings for better performance tailored to your workload. Here’s how:

Configuring WiredTiger Cache Size

The WiredTiger cache size dictates how much data the storage engine keeps in memory. By default, WiredTiger will use up to 50% of the available RAM minus 1 GB. Adjusting the cache size can have significant impacts on performance, especially for read-heavy workloads.

You can set the cache size at startup through the --wiredTigerCacheSizeGB parameter or by setting storage.wiredTiger.engineConfig.cacheSizeGB in the configuration file (mongod.conf). Here's an example:

Via Command Line

mongod --wiredTigerCacheSizeGB 2

This command starts MongoDB with 2 GB of cache.

Via Configuration File (mongod.conf)

storage: wiredTiger: engineConfig: cacheSizeGB: 2

After adding this to your configuration file, restart the MongoDB server for the changes to take effect.

Monitoring Cache Usage

Monitoring your cache usage is crucial to understand if your cache size setting is effective. You can use MongoDB's serverStatus command to check the current state of the cache:


This command returns several statistics about the cache, including the amount of data currently held in the cache.

Best Practices

  • Test Different Configurations: The optimal cache size depends on your specific workload, data size, and hardware. Experiment with different settings and monitor performance.
  • Monitor Performance Metrics: Keep an eye on metrics such as page fault rates and read/write latencies to understand the impact of your cache size settings.
  • Consider Overall System Memory: Ensure there's enough RAM for both MongoDB's cache and other system needs, including the operating system and any other applications running on the same server.

By tuning the cache size according to your application's requirements and monitoring its effect, you can significantly improve the performance of your MongoDB deployment.

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