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)

Performance Tuning

As an author, I have some reservations about discussing performance tuning for Apache Cassandra. Too often, application development teams will complain to their Cassandra DBA (database administrator) that their cluster is performing too slowly. The mere existence of a chapter entitled Performance Tuning in a Cassandra book implies that there must be some hidden gems of knowledge within these pages that will give a DBA the power to wave their magic wand and instantly cure slow queries. This could not be further from the truth.

In Chapter 3, Effective CQL we covered how to write good CQL, which relies on designing well-thought-out Cassandra data models. To be completely clear, building tables with primary keys designed to (both) distribute well and serve specific queries is the best way to achieve high performance with distributed databases, and that includes...