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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

Backing up data

While Cassandra itself goes a long way toward reducing the possibility of data loss, it cannot prevent loss or corruption due to administrative or application-level mistakes. For this reason, it is still advisable to maintain backups of critical tables to allow you to recover to a known good point in the past.

Taking a snapshot

Fundamentally, backing up data in Cassandra involves taking a snapshot of the SSTable for a given keyspace at a moment in time, as it must have all the tables in order to properly recover if needed. You can create a snapshot using nodetool as follows:

    nodetool snapshot [keyspace_name]

This will create hardlinks to the current SSTables in that keyspace's snapshots directory (located inside the data directory, which is located at /var/lib/cassandra/data/[keyspace_name] by default), under a directory named based on the Unix epoch at the time the snapshot is generated. The advantage of this approach is that the hardlink does not require any additional...

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