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Cassandra High Availability

You're reading from   Cassandra High Availability Harness the power of Apache Cassandra to build scalable, fault-tolerant, and readily available applications

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Product type Paperback
Published in Dec 2014
Publisher Packt
ISBN-13 9781783989126
Length 186 pages
Edition 1st 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 (11) Chapters Close

Preface 1. Cassandra's 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 High Availability 8. Antipatterns 9. Failing Gracefully Index

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: Upgrading 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. To upgrade an entire data center, it might be preferable to allow replication to automatically build the new nodes. This assumes, of course, that your replication factor is greater than one.

  • 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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