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Getting Started with Hazelcast, Second Edition

You're reading from   Getting Started with Hazelcast, Second Edition Get acquainted with the highly scalable data grid, Hazelcast, and learn how to bring its powerful in-memory features into your application

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Product type Paperback
Published in Jul 2015
Publisher Packt
ISBN-13 9781785285332
Length 162 pages
Edition 1st Edition
Languages
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Author (1):
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Matthew Johns Matthew Johns
Author Profile Icon Matthew Johns
Matthew Johns
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Table of Contents (14) Chapters Close

Preface 1. What is Hazelcast? 2. Getting off the Ground FREE CHAPTER 3. Going Concurrent 4. Divide and Conquer 5. Listening Out 6. Spreading the Load 7. Gathering Results 8. Typical Deployments 9. From the Outside Looking In 10. Going Global 11. Playing Well with Others A. Configuration Summary Index

Distributed locking

When building a broad, horizontally scaled application, one aspect that we tend to lose is the ability to restrict and prevent concurrent activity across the whole application. Within a single JVM, we use a synchronized lock to guard a section of functionality from a concurrent execution. Once we move away from a single JVM, this problem becomes a much bigger issue. Traditional approaches would leverage a transactional database to provide a system for locking in the form of a table rowlock or a transactional state. However, this approach presents us with a single point of failure and contention issues when scaling up our application.

Hazelcast offers a distributed locking facility, allowing us to attempt acquiring a cluster-wide named lock, and guard the functionality behind it. If we can create an example class LockingExample, we can demonstrate this ability, as follows:

public class LockingExample {
  public static void main(String[] args) throws Exception {
    HazelcastInstance...
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