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)

Chapter 12. Application Development Using the Java Driver

Since the beginning of Chapter 1, Getting Up and Running with Cassandra, we have been using cqlsh to execute all queries. Whether it is reading or writing data, changing consistency level, or enabling tracing, cqlsh facilitates performing all these tasks with ease. When developing applications that work with Cassandra, we use various drivers, supported either by DataStax or by the open source community. During the course of this chapter, we will be focusing on the Java driver in particular, which is used widely, and most new changes go into this first. Cqlsh uses the Python driver underneath.

The Java driver is based on CQL3 and Cassandra binary protocol. It uses Netty-based transport, which provides high performance and is optimized for Cassandra. Prior to the Java driver, which is based on native protocol, thrift protocol was more popular. As newer versions of Cassandra rolled out, thrift became a limitation; communication was limited...