[(Cassandra High Performance Cookbook * * )] [Author: Edward Capriolo] [Jul-2011]

by Edward Capriolo

You can mine deep into the full capabilities of Apache Cassandra using the 150+ recipes in this indispensable Cookbook. From configuring and tuning to using third party applications, this is the ultimate guide. Overview What you will learn from this book Approach 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. Who this book is written for 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. Apache Cassandra is a fault-tolerant, distributed data store which offers linear scalability allowing it to be a storage platform for large high volume websites. This book provides detailed recipes that describe how to use the features of Cassandra and improve its performance. Recipes cover topics ranging from setting up Cassandra for the first time to complex multiple data center installations. The recipe format presents the information in a concise actionable form. The book describes in detail how features of Cassandra can be tuned and what the possible effects of tuning can be. Recipes include how to access data stored in Cassandra and use third party tools to help you out. The book also describes how to monitor and do capacity planning to ensure it is performing at a high level. Towards the end, it takes you through the use of libraries and third party applications with Cassandra and Cassandra integration with Hadoop.

Genres: Programming

Unknown Binding

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.