Book Image

Mastering Apache Cassandra 3.x - Third Edition

By : Aaron Ploetz, Tejaswi Malepati, Nishant Neeraj
Book Image

Mastering Apache Cassandra 3.x - Third Edition

By: Aaron Ploetz, Tejaswi Malepati, Nishant Neeraj

Overview of this book

With ever-increasing rates of data creation, the demand for storing data fast and reliably becomes a need. Apache Cassandra is the perfect choice for building fault-tolerant and scalable databases. Mastering Apache Cassandra 3.x teaches you how to build and architect your clusters, configure and work with your nodes, and program in a high-throughput environment, helping you understand the power of Cassandra as per the new features. Once you’ve covered a brief recap of the basics, you’ll move on to deploying and monitoring a production setup and optimizing and integrating it with other software. You’ll work with the advanced features of CQL and the new storage engine in order to understand how they function on the server-side. You’ll explore the integration and interaction of Cassandra components, followed by discovering features such as token allocation algorithm, CQL3, vnodes, lightweight transactions, and data modelling in detail. Last but not least you will get to grips with Apache Spark. By the end of this book, you’ll be able to analyse big data, and build and manage high-performance databases for your application.
Table of Contents (12 chapters)

Evaluating instance requirements

Knowing how to appropriately size hardware for a new Cassandra cluster is a vital step to helping your application team succeed. Instances running Apache Cassandra must have sufficient resources available to be able to support the required operational workload.

One important note about the hardware/instance requirements for Cassandra is that it was designed to run on commodity-level hardware. While some enterprise RDBMS suppliers recommend copious amounts of RAM and several dozen CPU cores on a proprietary chassis, Cassandra can run on much, much less. In fact, Cassandra can be made to run on small to mid-sized cloud instances, or even something as meager as a Raspberry Pi. However, as with most databases, Cassandra will obviously perform better with more resource.

The word instance was chosen here instead of hardware or machine. This is because...