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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
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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 2. Data Distribution FREE CHAPTER 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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Cassandra 3.x High Availability - Second Edition
Published in: Aug 2016
Publisher:
ISBN-13: 9781786462107
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