Node Density

Compaction Strategies, Performance, and Their Impact on Cassandra Node Density

This is the third post in my series on optimizing Apache Cassandra for maximum cost efficiency through increased node density. In the first post, I examined how streaming operations impact node density and laid out the groundwork for understanding why higher node density leads to significant cost savings. In the second post, I discussed how compaction throughput is critical to node density and introduced the optimizations we implemented in CASSANDRA-15452 to improve throughput on disaggregated storage like EBS.

Cassandra Compaction Throughput Performance Explained

This is the second post in my series on improving node density and lowering costs with Apache Cassandra. In the previous post, I examined how streaming performance impacts node density and operational costs. In this post, I’ll focus on compaction throughput, and a recent optimization in Cassandra 5.0.4 that significantly improves it, CASSANDRA-15452.

This post assumes some familiarity with Apache Cassandra storage engine fundamentals. The documentation has a nice section covering the storage engine if you’d like to brush up before reading this post.