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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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Load balancing


Since Cassandra is a distributed database with the ability to add and remove nodes easily, it's important for the client to be able to send requests to new nodes that join the cluster, or to stop sending requests to removed or dead nodes.

Some databases use special middle-man processes to broker requests to available nodes, thus relieving the client of the requirement to maintain a list of hosts. Since Cassandra is a peer-to-peer system, with no special nodes or broker processes, the client must be aware of the topology of the cluster.

Tip

You should not use a load balancer between the client and Cassandra, as the client handles this via its load balancing policies. Adding a separate load balancer will actually prevent the client from understanding the cluster, which is what allows it to perform many of its duties.

Behind the scenes, the native driver connects to the cluster and learns about the topology of the ring. While legacy Thrift-based clients were able to make use of an...

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