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)

Cassandra's ring architecture

An aspect of Cassandra's architecture that demonstrates its AP CAP designation is in how each instance works together. A single-instance running in Cassandra is known as a node. A group of nodes serving the same dataset is known as a cluster or ring. Data written is distributed around the nodes in the cluster. The partition key of the data is hashed to determine it's token. The data is sent to the nodes responsible for the token ranges that contain the hashed token value.

The consistent hashing algorithm is used in many distributed systems, because it has intrinsic ways of dealing with changing range assignments. You can refer to Cassandra High Availability by Strickland R. (2014), published by Packt.

The partition key (formerly known as a row key) is the first part of PRIMARY KEY, and the key that determines the row’s token...