Compaction. A necessary reality in databases with immutable table designs. To date, Scylla and Cassandra compaction strategies for SSTables have had tradeoffs. For example, size-tiered compaction strategy requires leaving 50% of your total drive space unused in order to compact large tables.

What if there was a new, better, more efficient way to handle compactions in Scylla? One that allows you to use your storage much more efficiently? Enter Scylla’s unique Incremental Compaction Strategy (ICS).

Join us for a comparison of common compaction strategies and a technical deep dive into ICS. You’ll learn why ICS will become the new standard for compaction, including an overview of how much disk space you can save with ICS.


Speaker bio

Benny Halevy, R&D Group Manager, ScyllaDB

Benny Halevy leads the storage software development team at ScyllaDB. Benny has been working on operating systems and distributed file systems for over 20 years. Most recently, Benny led software development for GSI Technology, providing a hardware/software solution for deep learning and similarity search using in-memory computing technology.
Raphael Carvalho, Software Developer, ScyllaDB

Raphael S. Carvalho is a computer programmer who loves open source, and especially kernel programming. He has worked on bringing new file system support as well as allowing multiple file systems to co-exist, so-called MultiFS support, for the open source project Syslinux. Needless to say, he has mostly been working on SSTable handling for ScyllaDB.

Terms of Use    Privacy Policy   ©ScyllaDB

Apache®, Apache Cassandra®, are either registered trademarks or trademarks of the Apache Software Foundation in the United States and/or other countries. No endorsement by The Apache Software Foundation is implied by the use of these marks.