Table compression can optimize reads

Search nodes typically engage in read-dominated tasks, so maximizing storage capacity of nodes, reducing the volume of data on disk, and limiting disk I/O can improve performance. You can configure data compression on a per-table basis to optimize performance of read-dominated tasks.

You can implement custom compression classes using the interface. See CQL table properties.

Was this helpful?

Give Feedback

How can we improve the documentation?

© 2024 DataStax | Privacy policy | Terms of use

Apache, Apache Cassandra, Cassandra, Apache Tomcat, Tomcat, Apache Lucene, Apache Solr, Apache Hadoop, Hadoop, Apache Pulsar, Pulsar, Apache Spark, Spark, Apache TinkerPop, TinkerPop, Apache Kafka and Kafka are either registered trademarks or trademarks of the Apache Software Foundation or its subsidiaries in Canada, the United States and/or other countries. Kubernetes is the registered trademark of the Linux Foundation.

General Inquiries: +1 (650) 389-6000,