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Cassandra 3.x High Availability

You're reading from   Cassandra 3.x High Availability Achieve scalability and high availability without compromising on performance

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Product type Paperback
Published in Aug 2016
Publisher
ISBN-13 9781786462107
Length 196 pages
Edition 2nd Edition
Languages
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Author (1):
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Robbie Strickland Robbie Strickland
Author Profile Icon Robbie Strickland
Robbie Strickland
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Table of Contents (10) Chapters Close

Preface 1. Cassandras Approach to High Availability FREE CHAPTER 2. Data Distribution 3. Replication 4. Data Centers 5. Scaling Out 6. High Availability Features in the Native Java Client 7. Modeling for Availability 8. Anti-Patterns 9. Failing Gracefully

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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