Book Image

Apache Cassandra Essentials

By : Nitin Padalia
Book Image

Apache Cassandra Essentials

By: Nitin Padalia

Overview of this book

Apache Cassandra Essentials takes you step-by-step from from the basics of installation to advanced installation options and database design techniques. It gives you all the information you need to effectively design a well distributed and high performance database. You’ll get to know about the steps that are performed by a Cassandra node when you execute a read/write query, which is essential to properly maintain of a Cassandra cluster and to debug any issues. Next, you’ll discover how to integrate a Cassandra driver in your applications and perform read/write operations. Finally, you’ll learn about the various tools provided by Cassandra for serviceability aspects such as logging, metrics, backup, and recovery.
Table of Contents (14 chapters)
Apache Cassandra Essentials
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
Index

Background


Cassandra's design was based on Google's Bigtable and Amazon's DynamoDB, and it was developed at Facebook. Later on, it was open sourced to Apache Foundation. It is a NoSQL nonrelational database. While working with Cassandra, we need not worry about normalization of our tables, as Cassandra promotes denormalization of your database tables. In Cassandra, the database schema is designed based on the data that you would be reading from or writing to Cassandra.

Cassandra focuses on availability and partition tolerance among consistency, availability, and partition tolerance of the CAP theorem by Brewer. The CAP theorem states that, among consistency, availability, and partition tolerance, you can pick only two at a time. Here, consistency means when you read from or write to any node of the cluster, you should get the same up-to-date data. Availability refers to the fact that we should be able to access the cluster even if some node in the cluster is down, and partition tolerance...