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)

Managing a deployment pipeline

When you start working with large, production-level clusters, having a good orchestration tool can save you a lot of work. After all, building and configuring a three-node cluster is one thing, but building and maintaining a 300 node cluster requires a different approach.

This comes into play when cluster-wide changes must be applied, such as a new SSL certificate or an upgrade to a new patch level. Manual methods, which are fine for the three-node cluster, quickly become untenable at a large scale.

For some Cassandra teams, a collection of Python or shell scripts will suffice for running some of the repeatable parts of their deployment process. But as scale increases and configurations change, this approach relies on the team to adjust the scripts so that they continue to work with changing requirements.

As the problems of maintaining a distributed...