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)

cqlsh

The cqlsh tool, which is also known as CQL shell, installs with Cassandra and should be used to control security, keyspace, and table definitions. Not to be confused with the old Cassandra-CLI (the deprecated Cassandra command-line interface), cqlsh will be your primary interface into controlling your Cassandra data model and analyzing cluster metadata.

If you do not have Apache Cassandra or cqlsh installed locally, you can use pip (Python's package manager) to accomplish this quickly: pip install cqlsh.

Logging into cqlsh

You will find cqlsh in the /bin directory of your Cassandra home directory. You can start it by invoking it with a host IP address to connect to and any flags required by your cluster or session...