Cassandra High Performance Cookbook

by Edward Capriolo

This is a cookbook and all tasks are approached as recipes. A recipe describes a task and outlines the steps necessary to complete this task. Some recipes in the book are examples of writing code. An example of this is a recipe that stores and accesses the entries of a phone book in Cassandra. The recipe consists of a description of the program, a full code example is given, the example is run, the output is displayed, and finally the how it works section describes the process or code in greater detail. Other recipes in the book describe a task. An example of this is a recipe that takes a snapshot back up of data in Cassandra. This recipe contains a description of the process, it then shows how to run the snapshot command and confirm that it worked, it then explains what the snapshot command does behind the scenes, finally the ‘see also’ section references other related recipes such as the recipe to restore a snapshot. This book is designed for administrators, developers, and data architects who are interested in Apache Cassandra for redundant, highly performing, and scalable data storage. Typically these users should have experience working with a database technology, multiple node computer clusters, and high availability solutions.

Genres: Programming

326 pages, Kindle Edition

First published July 3, 2011

Reviews

[Tadas Talaikis · Rating 3 out of 5]

Thank Caesar, AWS recently released Keyspaces, else you can lose life on managing this db.

[Ivan · Rating 4 out of 5]

Comprehensive index to Cassandra operations and some obvious features I've managed to miss during the documentation readings. Probably the first Cassandra book I've spotted which covers so much integration aspects(good starter examples, but not in-depth guides though). Most recipes closer to the end of the book required more knowledge that I have, though that's easy to patch with Googling. The 'DevOps' thing is only possible because Ops guys write such books sometimes and Devs occasionally read those :)

[Glenn · Rating 4 out of 5]

Not the first choice if you know nothing about Cassandra but definitely worth a read if you need to deploy a big data production Cassandra cluster for a web scale franchise. The author gives lots of good advise on tuning. Here you learn the ins and outs of node tool. He does a good job at demystifying data center and rack topologies. Finally, we take a tour through the various JMX metrics surfaced by Cassandra; what they mean and where are the danger zones to keep your Cassandra cluster humming along smoothly.