LSM trees optimize: write-heavy workloads by buffering writes in memory

Ever wondered how your favorite social media app handles millions of new posts every minute?

Image: U.S. Department of Agriculture, Public domain, via Wikimedia Commons

LSM trees optimize: write-heavy workloads by buffering writes in memory

Ever wondered how your favorite social media app handles millions of new posts every minute?

Imagine a social media platform where millions of new posts are uploaded every minute. The app needs to quickly display these posts to users without crashing or slowing down.

The app uses a special data structure that temporarily stores new posts in memory before moving them to a permanent storage on disk. This way, it can quickly display new posts to users without getting overwhelmed.

Example

If a user uploads 1,000 new posts in a minute, the app first stores these posts in memory and then moves them to disk, ensuring users see the posts almost instantly.

Remember this

The app uses an LSM tree to efficiently manage and display a massive volume of new posts.

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