Book Image

Mastering Apache Cassandra 3.x - Third Edition

By : Aaron Ploetz, Tejaswi Malepati, Nishant Neeraj
Book Image

Mastering Apache Cassandra 3.x - Third Edition

By: Aaron Ploetz, Tejaswi Malepati, Nishant Neeraj

Overview of this book

With ever-increasing rates of data creation, the demand for storing data fast and reliably becomes a need. Apache Cassandra is the perfect choice for building fault-tolerant and scalable databases. Mastering Apache Cassandra 3.x teaches you how to build and architect your clusters, configure and work with your nodes, and program in a high-throughput environment, helping you understand the power of Cassandra as per the new features. Once you’ve covered a brief recap of the basics, you’ll move on to deploying and monitoring a production setup and optimizing and integrating it with other software. You’ll work with the advanced features of CQL and the new storage engine in order to understand how they function on the server-side. You’ll explore the integration and interaction of Cassandra components, followed by discovering features such as token allocation algorithm, CQL3, vnodes, lightweight transactions, and data modelling in detail. Last but not least you will get to grips with Apache Spark. By the end of this book, you’ll be able to analyse big data, and build and manage high-performance databases for your application.
Table of Contents (12 chapters)

Application Development

In this chapter, we will discuss the development of applications backed by Apache Cassandra. This subject is one of the most misunderstood areas of Cassandra. Too often, developers assume that their years of developing with relational databases have prepared them for working with a distributed database such as Apache Cassandra. Unfortunately, their familiar, relational foundations lead them down the wrong path.

In this chapter, we will discuss the following topics:

  • Common mistakes made at the application and data model levels
  • Driver selection
  • Appropriate connection properties
  • Handling simple and complex result sets in Java
  • Loading data without overwhelming your nodes

By the end of this chapter, you will understand how to build Java applications to work with Apache Cassandra. These example applications will start small and simple, and grow in complexity...