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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

Product type Paperback

Published in Aug 2016

Publisher

ISBN-13 9781786462107

Length 196 pages

Edition 2nd Edition

Languages

Java

Tools

Cassandra

Concepts

Database Administration

Author (1):

Robbie Strickland

View More author details

Table of Contents (10) Chapters

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

Partitioners

You may recall from the earlier discussion of distributed hash tables that keys are mapped to nodes via an implementation-specific hash function. In Cassandra's architecture, this function is determined by the partitioner you choose. This is a cluster-wide setting specified in cassandra.yaml. As of version 1.2, there are three options:

Murmur3Partitioner (org.apache.cassandra.dht.Murmur3Partitioner): Produces an even distribution of data across the cluster using the Murmur3 hash algorithm. This is the default as of version 1.2, and should not be changed as it is measurably faster than the RandomPartitioner.
RandomPartitioner (org.apache.cassandra.dht.RandomPartitioner): Similar to the Murmur3Partitioner, except that it computes an MD5 hash. This was the default prior to version 1.2.
ByteOrderedPartitioner (org.apache.cassandra.dht.ByteOrderedPartitioner): Places keys in byte order (lexically) around the ring. This partitioner should generally be avoided for reasons explained...

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Authors (1)

Strickland

Strickland

Robbie Strickland has been involved in the Apache Cassandra project since 2010, and he initially went to production with the 0.5 release. He has made numerous contributions over the years, including work on drivers for C# and Scala and multiple contributions to the core Cassandra codebase. In 2013 he became the very first certified Cassandra developer, and in 2014 DataStax selected him as an Apache Cassandra MVP. Robbie has been an active speaker and writer in the Cassandra community and is the founder of the Atlanta Cassandra Users Group. Other examples of his writing can be found on the DataStax blog, and he has presented numerous webinars and conference talks over the years.

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