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Cassandra 3.x High Availability - Second Edition

You're reading from  Cassandra 3.x High Availability - Second Edition

Product type Book
Published in Aug 2016
Publisher
ISBN-13 9781786462107
Pages 196 pages
Edition 2nd Edition
Languages
Author (1):
Robbie Strickland Robbie Strickland
Profile icon Robbie Strickland

Table of Contents (15) Chapters

Cassandra 3.x High Availability - Second Edition
Credits
About the Author
About the Reviewer
www.PacktPub.com
Preface
1. Cassandras Approach to High Availability 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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