Ignite CS 模式 java初探

命令行的形式扩展集群，是不断的增加Server，在实际的很多业务场景中，需要我们用Ignite实现CS模式，本文将提供详细的代码。

主要maven依赖：

        
            org.apache.ignite
            ignite-core
            ${ignite.version}
        
        
            org.apache.ignite
            ignite-spring
            ${ignite.version}
        
        
            org.apache.ignite
            ignite-indexing
            ${ignite.version}
        

        
               2.3.0
        

代码实现

Server端实现：

import com.jc.searchengine.po.Person;
import org.apache.ignite.Ignite;
import org.apache.ignite.IgniteCache;
import org.apache.ignite.IgniteCompute;
import org.apache.ignite.Ignition;
import org.apache.ignite.cache.CacheMode;
import org.apache.ignite.cluster.ClusterGroup;
import org.apache.ignite.configuration.CacheConfiguration;
import org.apache.ignite.configuration.IgniteConfiguration;

import java.util.Set;

/**
 * @Author: wangjie
 * @Description:
 * @Date: Created in 10:20 2018/3/23
 */
public class Application {

    public static void main(String[] args) {

        Ignite ignite = Ignition.start();

        CacheConfiguration cacheCfg = new CacheConfiguration();
        cacheCfg.setName("serverCache");
        cacheCfg.setCacheMode(CacheMode.PARTITIONED);

        IgniteCache cache = ignite.getOrCreateCache(cacheCfg);

        ClusterGroup clusterGroup = ignite.cluster().forServers();

        cache.put(1L,new Person(1,"Sofiya",2));
        cache.put(2L,new Person(1,"Sofiya",2));
        cache.put(3L,new Person(1,"Sofiya",666666666));
        }
    }

Server端的代码实质上主要做了2个操作：

• 创建一个名叫“serverCache”的缓存区
• 在缓存区插入数据

Client 端实现：

import com.jc.searchengine.po.Person;
import org.apache.ignite.*;
import org.apache.ignite.cache.CacheMode;
import org.apache.ignite.cache.query.ContinuousQuery;
import org.apache.ignite.cache.query.ScanQuery;
import org.apache.ignite.cluster.ClusterGroup;
import org.apache.ignite.configuration.CacheConfiguration;
import org.apache.ignite.configuration.IgniteConfiguration;
import org.apache.ignite.internal.util.lang.IgnitePredicate2X;
import org.apache.ignite.lang.IgniteBiPredicate;
import org.apache.ignite.spi.communication.tcp.TcpCommunicationSpi;
import org.apache.ignite.spi.discovery.tcp.TcpDiscoverySpi;
import org.apache.ignite.spi.discovery.tcp.ipfinder.vm.TcpDiscoveryVmIpFinder;

import javax.cache.Cache;
import java.time.Period;
import java.util.Arrays;

/**
 * @Author: wangjie
 * @Description:
 * @Date: Created in 10:55 2018/3/23
 */

public class Application{
    public static void main(String[] args) {

        //此节点配置为客户端
        Ignition.setClientMode(true);
        IgniteConfiguration cfg = new IgniteConfiguration();

        TcpCommunicationSpi commSpi = new TcpCommunicationSpi();
        commSpi.setSlowClientQueueLimit(1000);

        TcpDiscoverySpi discoverySpi = new TcpDiscoverySpi();
        TcpDiscoveryVmIpFinder ipfinder = new TcpDiscoveryVmIpFinder();
        ipfinder.setAddresses(Arrays.asList("localhost"));
        discoverySpi.setIpFinder(ipfinder);

        cfg.setCommunicationSpi(commSpi);
        cfg.setDiscoverySpi(discoverySpi);

        Ignite ignite = Ignition.start(cfg);

        ClusterGroup clusterGroup = ignite.cluster().forClients();

      IgniteCache cache = ignite.getOrCreateCache("serverCache");
        IgniteCompute compute = ignite.compute(clusterGroup);
            compute.broadcast(() -> {
                Person s1 = cache.get(1L);
                Person s2 = cache.get(2L);
                Person s3 = cache.get(3L);
                System.out.println(s1.toString() + " " + s2.toString() + " " + s3.toString());
            });
    }
}

Client端的代码做了以下工作：

• 将此节点配置为客户端模式
• 获取到刚刚Server段创建的“serverCache”缓存区
• 将Server端的数据展示出来

运行程序

分别启动Server端和Client端的程序，查看控制台：

Server端：

Server.png

Client端：

Client.png

项目代码github地址-Server
项目代码github地址-Client

程序媛小白一枚，如有错误，烦请批评指正！(#.#)