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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? FREE CHAPTER 2. Getting off the Ground 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

Mapping back to the real world

Having briefly explored Hazelcast's distributed capabilities via a test console, let's have a look at how we are more likely to interact with a cluster in the real world. Let's create a new SimpleMapExample class with a main method to spin up and manipulate a named distributed map called capitals. Hazelcast refers to these named collections as a namespace. These collections must be uniquely named across the cluster, as follows:

import com.hazelcast.core.Hazelcast;
import com.hazelcast.core.HazelcastInstance;
import java.util.Map;

public class SimpleMapExample {
  public static void main(String[] args) {
    HazelcastInstance hz = Hazelcast.newHazelcastInstance();

    Map<String, String> capitals = hz.getMap("capitals");
    capitals.put("GB", "London");
    capitals.put("FR", "Paris");
    capitals.put("US", "Washington DC");
    capitals.put("AU", "Canberra...
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