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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
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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

Handling asynchronous requests


Since Cassandra is designed for significant scale, it follows that most applications using it would be designed with similar scalability in mind. One principal characteristic of high performance applications is that they do not block unnecessarily, and instead attempt to maximize available resources.

As previously discussed, one of the downsides to the older Thrift protocol was its lack of support for asynchronous requests. Fortunately, this situation has been remedied with the native driver, making the process of building scalable applications on top of Cassandra significantly easier.

Tip

Blocking on I/O, such as with calls to Cassandra, can cause significant bottlenecks in high-throughput applications. Since a slow application can be the same as a dead application, you should use the asynchronous API to avoid blocking whenever possible.

If you are familiar with the java.util.concurrent package, and the Future class specifically, the asynchronous API will look...

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