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Cassandra High Availability

You're reading from  Cassandra High Availability

Product type Book
Published in Dec 2014
Publisher Packt
ISBN-13 9781783989126
Pages 186 pages
Edition 1st Edition
Languages
Author (1):
Robbie Strickland Robbie Strickland
Profile icon Robbie Strickland

Table of Contents (16) Chapters

Cassandra High Availability
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
1. Cassandra's Approach to High Availability 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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