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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

How to scale up


Properly scaling up your Cassandra cluster is not a difficult process, but it does require you to carefully follow established procedures to avoid undesirable side effects. There are two general approaches to consider:

  • Upgrade in place: To upgrade in place involves taking each node out of the ring, one at a time, bringing its new replacement online, and allowing the new node to bootstrap. This choice makes the most sense if a subset of your cluster needs upgrading rather than an entire data center. This assumes, of course, that your replication factor is greater than ONE. To upgrade an entire data center, it may be preferable to allow replication to automatically build the new nodes.

  • Using data center replication: Since Cassandra already supports bringing up another data center via replication, you can use this mechanism to populate your new hardware with existing data and then switch to the new data center when replication is complete.

Upgrading in place

If you have determined...

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