How Cassandra Improves Performances and Availability of HDB++ Tango Archiving System
Reynald Bourtembourg, Pons, Jean-Luc, Pascal Verdier · JACOW · 2015
The TANGO release 8 led to several enhancements, including the adoption of the ZeroMQ library for faster and lightweight event-driven communication. Exploiting these improved capabilities, a high performance, event-driven archiving system, named Tango HDB++*, has been developed. Its design gives the possibility to store archiving data into Apache Cassandra: a high performance scalable NoSQL distributed database, providing High Availability service and replication, with no single point of failure. HDB++ with Cassandra will open up new perspectives for TANGO in the era of big data and will be the starting point of new big data analytics/data mining applications, breaking the limits of the archiving systems which are based on traditional relational databases. This paper describes the current state of the implementation and our experience with Apache Cassandra in the scope of the Tango HDB++ project. It also gives some performance figures and use cases where using Cassandra with Tango HDB++ is a good fit.