Chapter 1. Introduction

Table of Contents

1.1. Getting Started (Tutorial)

Hazelcast is a clustering and highly scalable data distribution platform for Java. Hazelcast helps architects and developers to easily design and develop faster, highly scalable and reliable applications for their businesses.

To install Hazelcast:

Hazelcast is pure Java. JVMs that are running Hazelcast will dynamically cluster. Although by default Hazelcast will use multicast for discovery, it can also be configured to only use TCP/IP for environments where multicast is not available or preferred (Click here for more info). Communication among cluster members is always TCP/IP with Java NIO beauty. Default configuration comes with 1 backup so if one node fails, no data will be lost. It is as simple as usingjava.util.{Queue, Set, List, Map}. Just add the hazelcast.jar into your classpath and start coding.

1.1. Getting Started (Tutorial)

In this short tutorial, we will create simple Java application using Hazelcast distributed map and queue. Then we will run our application twice to have two nodes (JVMs) clustered and finalize this tutorial with connecting to our cluster from another Java application by using Hazelcast Native Java Client API.

  • Download the latest Hazelcast zip.

  • Unzip it and add the lib/hazelcast.jar to your class path.

  • Create a Java class and import Hazelcast libraries.

  • Following code will start the first node and create and use customers map and queue.

    import com.hazelcast.core.Hazelcast;
    import java.util.Map;
    import java.util.Queue;
    
    public class GettingStarted {
    
        public static void main(String[] args) {
            Map<Integer, String> mapCustomers = Hazelcast.getMap("customers");
            mapCustomers.put(1, "Joe");
            mapCustomers.put(2, "Ali");
            mapCustomers.put(3, "Avi");
    
            System.out.println("Customer with key 1: "+ mapCustomers.get(1));
            System.out.println("Map Size:" + mapCustomers.size());
    
            Queue<String> queueCustomers = Hazelcast.getQueue("customers");
            queueCustomers.offer("Tom");
            queueCustomers.offer("Mary");
            queueCustomers.offer("Jane");
            System.out.println("First customer: " + queueCustomers.poll());
            System.out.println("Second customer: "+ queueCustomers.peek());
            System.out.println("Queue size: " + queueCustomers.size());
        }
    }
    

  • Run this class second time to get the second node started.

  • Have you seen they formed a cluster? You should see something like this:

    Members [2] {
    	Member [127.0.0.1:5701]
    	Member [127.0.0.1:5702] this
    }
                                

Connecting Hazelcast Cluster with Java Client API

  • Besides hazelcast.jar you should also add hazelcast-client.jar to your classpath.

  • Following code will start a Hazelcast Client, connect to our two node cluster and print the size of our customers map.

    package com.hazelcast.test;
    
    import com.hazelcast.client.ClientConfig;
    import com.hazelcast.client.HazelcastClient;
    import com.hazelcast.core.HazelcastInstance;
    import com.hazelcast.core.IMap;
    
    public class GettingStartedClient {
    
        public static void main(String[] args) {
            ClientConfig clientConfig = new ClientConfig();
            clientConfig.addAddress("127.0.0.1:5701");
            HazelcastInstance client = HazelcastClient.newHazelcastClient(clientConfig);
            IMap map = client.getMap("customers");
            System.out.println("Map Size:" + map.size());
        }
    }
    

  • When you run it, you will see the client properly connects to the cluster and print the map size as 3.

What is Next?

  • You can browse documentation and resources for detailed features and examples.

  • You can email your questions to Hazelcast mail group.

  • You can browse Hazelcast source code.