Book Image

Learning Apache Cassandra - Second Edition

Book Image

Learning Apache Cassandra - Second Edition

Overview of this book

Cassandra is a distributed database that stands out thanks to its robust feature set and intuitive interface, while providing high availability and scalability of a distributed data store. This book will introduce you to the rich feature set offered by Cassandra, and empower you to create and manage a highly scalable, performant and fault-tolerant database layer. The book starts by explaining the new features implemented in Cassandra 3.x and get you set up with Cassandra. Then you’ll walk through data modeling in Cassandra and the rich feature set available to design a flexible schema. Next you’ll learn to create tables with composite partition keys, collections and user-defined types and get to know different methods to avoid denormalization of data. You will then proceed to create user-defined functions and aggregates in Cassandra. Then, you will set up a multi node cluster and see how the dynamics of Cassandra change with it. Finally, you will implement some application-level optimizations using a Java client. By the end of this book, you'll be fully equipped to build powerful, scalable Cassandra database layers for your applications.
Table of Contents (14 chapters)

Summary


Having spent the bulk of this book exploring Cassandra using CQL, we've now peeked under the hood to see how the robust data structures offered by CQL are in fact abstractions upon a much more rudimentary column family data structure. If nothing else, this is an opportunity to appreciate modern technology; as recently as Cassandra 1.1, the CQL data structures we take for granted were unheard of. Before Cassandra 0.7, CQL did not exist at all; the Thrift interface we explored in this chapter was state-of-the-art.

Our deep dive into Cassandra's internal data structures also helps us understand the underlying reasons behind facts that in previous chapters we'd taken as first principles. You learned in Chapter 3, Organizing Related Data that partition keys group related data, but now we know that in fact all the data under a partition key, or RowKey, coexists in a single wide row. Similarly, we already knew that clustering columns determine row ordering, but now we know that the sorting...