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Cassandra 3.x High Availability

Cassandra 3.x High Availability

By : Strickland
3.8 (6)
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Cassandra 3.x High Availability

Cassandra 3.x High Availability

3.8 (6)
By: Strickland

Overview of this book

Apache Cassandra is a massively scalable, peer-to-peer database designed for 100 percent uptime, with deployments in the tens of thousands of nodes, all supporting petabytes of data. This book offers a practical insight into building highly available, real-world applications using Apache Cassandra. The book starts with the fundamentals, helping you to understand how Apache Cassandra’s architecture allows it to achieve 100 percent uptime when other systems struggle to do so. You’ll get an excellent understanding of data distribution, replication, and Cassandra’s highly tunable consistency model. Then we take an in-depth look at Cassandra's robust support for multiple data centers, and you’ll see how to scale out a cluster. Next, the book explores the domain of application design, with chapters discussing the native driver and data modeling. Lastly, you’ll find out how to steer clear of common anti-patterns and take advantage of Cassandra’s ability to fail gracefully.
Table of Contents (10 chapters)
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CQL under the hood


At this point, most users should be aware that CQL has replaced Thrift as the standard (and therefore recommended) interface for working with Cassandra. Yet it remains largely misunderstood, as its resemblance to common SQL has left both Thrift veterans and Cassandra newcomers confused about how it translates to the underlying storage layer. This fog must be lifted if you hope to create data models that scale, perform, and ensure availability.

As we begin this section, it is important to understand that the CQL data representation does not always match the underlying storage structure. This can be challenging for those accustomed to Thrift-based operations, as those were performed directly against the storage layer. But CQL introduces an abstraction on top of the storage rows, and only maps directly in the simplest of schemas.

Tip

If you want to be successful at modeling and querying data in Cassandra, keep in mind that while CQL improves the learning curve, it is not SQL...

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