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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 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

Understanding compaction


Cassandra deals with this build-up of SSTables over time by means of a process called compaction. Compaction aggregates partitions from multiple files into a single file, and in the process it removes old data and purges tombstones. But housekeeping is only one reason to do this; the other objective is to improve read performance by moving data for a given key into a single SSTable, thereby reducing the disk I/O required to read each key.

The exact mechanism that governs the compaction process depends on which compaction strategy you choose. As of version 3.8 (or 3.0.8, which added time-window compaction and deprecated date-tiered compaction), there are four strategies that ship with Cassandra (although you can implement your own):

  • Size-tiered compaction: This strategy causes SSTables to be compacted when there are multiple files of a similar size (the default is four). In update-heavy workloads, a partition may exist in many SSTables at once, resulting in reduced...

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