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2x Faster Reads and Writes with this MongoDB feature | Clustered Collections

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Manage episode 362982552 series 1954062
内容由Hussein Nasser提供。所有播客内容(包括剧集、图形和播客描述)均由 Hussein Nasser 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品,您可以按照此处概述的流程进行操作https://zh.player.fm/legal

Fundamentals of Database Engineering udemy course (link redirects to udemy with coupon) https://database.husseinnasser.com

In version 5.3, MongoDB introduced a feature called clustered collection which stores documents in the _id index as oppose to the hidden wiredTiger hidden index. This eliminates an entire b+tree seek for reads using the _id index and also removes the additional write to the hidden index speeding both reads and writes.

However like we know in software engineering, everything has a cost. This feature does come with a few that one must be aware of before using it. In this video I discuss the following

  • How Original MongoDB Collections Work
  • How Clustered Collections Work
  • Benefits of Clustered Collections
  • Limitations of Clustered Collections

  continue reading

515集单集

Artwork
icon分享
 
Manage episode 362982552 series 1954062
内容由Hussein Nasser提供。所有播客内容(包括剧集、图形和播客描述)均由 Hussein Nasser 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品,您可以按照此处概述的流程进行操作https://zh.player.fm/legal

Fundamentals of Database Engineering udemy course (link redirects to udemy with coupon) https://database.husseinnasser.com

In version 5.3, MongoDB introduced a feature called clustered collection which stores documents in the _id index as oppose to the hidden wiredTiger hidden index. This eliminates an entire b+tree seek for reads using the _id index and also removes the additional write to the hidden index speeding both reads and writes.

However like we know in software engineering, everything has a cost. This feature does come with a few that one must be aware of before using it. In this video I discuss the following

  • How Original MongoDB Collections Work
  • How Clustered Collections Work
  • Benefits of Clustered Collections
  • Limitations of Clustered Collections

  continue reading

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