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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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Toc

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

Tying it all together


In attempting to develop a comprehensive approach to handling failure, we will start by assuming that you prefer consistency when possible but want your application to remain available even if the desired consistency level cannot be satisfied; you are also willing to experience slower client response rather than denying requests.

With these ideas in mind, we can tie the concepts you have learned throughout this chapter together in a policy that answers this demand. Take a look at the following example, which makes use of the previously discussed features:

// defined at class level
String localDC = "DC1";
ConsistencyLevel defaultCL = ConsistencyLevel.LOCAL_QUORUM;
private Cluster cluster;

// initialized once per application
cluster = cluster.builder()
  .addContactPoints("10.10.10.1", "10.10.10.2", "10.10.10.3")
  .withRetryPolicy(new LoggingRetryPolicy(
    DowngradingConsistencyRetryPolicy.INSTANCE))
  .withLoadBalancingPolicy(new TokenAwarePolicy(
    new DCAwareRoundRobinPolicy...
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