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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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Chapter 6.  High Availability Features in the Native Java Client

If you are relatively new to Cassandra, you may be unaware that the native client libraries from DataStax are a recent development. In fact, prior to their introduction there were numerous libraries (and forks of those projects) just for the Java language. Throw in the other languages, each with their own idiosyncrasies, and the situation was really quite dire.

Complicating the scenario was the lack of any universally accepted query mechanism, as Cassandra Query Language (CQL) was initially poorly received. The only real common ground for describing queries and data models was the underlying Thrift protocol. While this worked reasonably well for early adopters, it made assimilation of newer users quite difficult. It is a testament to Cassandra's extraordinary architecture, speed, and scalability that it was able to survive those early days.

After several revisions of CQL, the introduction of a native binary...

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