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

Hadoop in Cassandra cluster


The production version of Hadoop and Cassandra combination needs to go into a separate cluster. The first obvious issue is you probably wouldn't want Hadoop to keep pulling Cassandra nodes, hampering Cassandra performance to end users. The general pattern to avoid this is to split the ring into two data centers. Since Cassandra automatically and immediately replicates the changes between data centers, they will be in sync always. What's more, you can assign one of the data centers as a transactional with a higher replication factor and the other as an analytical data center with a replication factor of 1. The analytical data center is the one used by Hadoop without affecting the transactional data center a bit.

Now, you do not really need to have two physically separated data centers to make this configuration work. Remember NetworkTopologyStrategy? (Refer to the NetworkTopologyStrategy section in Chapter 4, Deploying a Cluster.) You can tweak Cassandra thinking...