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)

Effective CQL

In this chapter, we will examine common approaches to data modeling and interacting with data stored in Apache Cassandra. This will involve us taking a close look at the Cassandra Query Language, otherwise known as CQL. Specifically, we will cover and discuss the following topics:

  • The evolution of CQL and the role it plays in the Apache Cassandra universe
  • How data is structured and modeled effectively for Apache Cassandra
  • How to build primary keys that facilitate high-performing data models at scale
  • How CQL differs from SQL
  • CQL syntax and how to solve different types of problems using it

Once you have completed this chapter, you should have an understanding of why data models need to be built in a certain way. You should also begin to understand known Cassandra anti-patterns and be able to spot certain types of bad queries. This should help you to build scalable...