Book Image

Mastering Apache Cassandra

By : Nishant Neeraj
Book Image

Mastering Apache Cassandra

By: Nishant Neeraj

Overview of this book

<p>Apache Cassandra is the perfect choice for building fault tolerant and scalable databases. Implementing Cassandra will enable you to take advantage of its features which include replication of data across multiple datacenters with lower latency rates. This book details these features that will guide you towards mastering the art of building high performing databases without compromising on performance.</p> <p>Mastering Apache Cassandra aims to give enough knowledge to enable you to program pragmatically and help you understand the limitations of Cassandra. You will also learn how to deploy a production setup and monitor it, understand what happens under the hood, and how to optimize and integrate it with other software.</p> <p>Mastering Apache Cassandra begins with a discussion on understanding Cassandra’s philosophy and design decisions while helping you understand how you can implement it to resolve business issues and run complex applications simultaneously.</p> <p>You will also get to know about how various components of Cassandra work with each other to give a robust distributed system. The different mechanisms that it provides to solve old problems in new ways are not as twisted as they seem; Cassandra is all about simplicity. Learn how to set up a cluster that can face a tornado of data reads and writes without wincing.</p> <p>If you are a beginner, you can use the examples to help you play around with Cassandra and test the water. If you are at an intermediate level, you may prefer to use this guide to help you dive into the architecture. To a DevOp, this book will help you manage and optimize your infrastructure. To a CTO, this book will help you unleash the power of Cassandra and discover the resources that it requires.</p>
Table of Contents (17 chapters)
Mastering Apache Cassandra
Credits
About the Author
Acknowledgments
About the Reviewers
www.PacktPub.com
Preface
Index

Summary


So we know how to move around data and manage Cassandra instances to handle the production situations. Cassandra provides simple one-liner commands to perform various complicated maintenance tasks to make life easy. Scaling up, scaling down, removing live or dead nodes, and load balancing are pleasantly simple and can be automated based on your configuration using scripts. Backups fall in the same category, but restoration can be a bit tricky. With the Cassandra data model, built-in replication, and support for multiple data center setup, one may configure Cassandra such that it may never need a backup. Also, for really large databases, it may be impractical to siphon out data instead of using replication. It may make sense to back up in a case where the database is not very large and one uses a replication factor of 1. In such a case, going down a node may cause loss of data. However, RF=1 is a bad idea in production setup and backup can just restore the data until the latest backup...