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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

Failing over to a remote data center


The foundation of any robust load balancing strategy is DCAwareRoundRobinPolicy, because we'll assume you will be deploying to more than one data center. However, the implementation hides an interesting failover feature in the constructor overrides, which is worth a look.

In Chapter 4, Data Centers, we discussed several use cases for multiple data centers, with failover being one key scenario. If your desire is to fail over to a backup data center, and should replicas in your client's primary data center fail, you might be interested in the two additional parameters you can pass to the DCAwareRoundRobinPolicy constructor, which are mentioned here:

  • usedHostsPerRemoteDc: This vaguely named parameter allows you to specify a number of hosts in a remote data center that can be used by this client, should your local data center fail to satisfy the request. Note that by default, this will be ignored for LOCAL_ONE and LOCAL_QUORUM consistency levels.

  • allowRemoteDCsForLocalConsistencyLevel...

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