多线程设计模式

Future(类似AJAX请求，异步获取数据)

Created with Raphaël 2.1.0客户端Future客户端FutureFutureData包装类FutureData包装类RealData类RealData类1.call2.return3.other call4.other call return5.获取真实数据操作

//调用类
public class Main {
public static void main(String[] args) throws InterruptedException {
FutureClient fc = new FutureClient();
Data data = fc.request("请求参数");
System.out.println("请求发送成功!");
System.out.println("做其他的事情...");
String result = data.getRequest();
System.out.println(result);
}
}

//接口
public interface Data {
String getRequest();
}

//包装类
public class FutureClient {
public Data request(final String queryStr){
//1 我想要一个代理对象（Data接口的实现类）先返回给发送请求的客户端，告诉他请求已经接收到，可以做其他的事情
final FutureData futureData = new FutureData();
//2 启动一个新的线程，去加载真实的数据，传递给这个代理对象
new Thread(new Runnable() {
@Override
public void run() {
//3 这个新的线程可以去慢慢的加载真实对象，然后传递给代理对象
RealData realData = new RealData(queryStr);
futureData.setRealData(realData);
}
}).start();
return futureData;
}
}

//真实数据处理类
public class RealData implements Data{
private String result ;
public RealData (String queryStr){
System.out.println("根据" + queryStr + "进行查询，这是一个很耗时的操作..");
try {
Thread.sleep(5000);
} catch (InterruptedException e) {
e.printStackTrace();
}
System.out.println("操作完毕，获取结果");
result = "查询结果";
}

@Override
public String getRequest() {
return result;
}
}

Master-Worker

Created with Raphaël 2.1.0clientclientmastermasterworkerworker1.用ConcurrentLinkedQueue接任务使用HashMap<String,Thread>装worker对象使用ConcurrentHashMap<String,Object>装worker并发处理任务的结果集实现Runnale接口worker对象有master的ConcurrentLinkedQueue的引用worker对象有master的ConcurrentHashMap的引用2.获取master的ConcurrentLinkedQueue中的任务放入master的ConcurrentHashMap

//client
public class Main {
public static void main(String[] args) {
System.out.println("我的机器可用Processor数量:" + Runtime.getRuntime().availableProcessors());
Master master = new Master(new MyWorker(), Runtime.getRuntime().availableProcessors());
Random r = new Random();
for(int i = 1; i<= 100; i++){
Task t = new Task();
t.setId(i);
t.setName("任务"+i);
t.setPrice(r.nextInt(1000));
master.submit(t);
}
master.execute();
long start = System.currentTimeMillis();
while(true){
if(master.isComplete()){
long end = System.currentTimeMillis() - start;
int ret = master.getResult();
System.out.println("最终结果：" + ret + "， 执行耗时：" + end);
break;
}
}
}
}

//master
public class Master {
//1 应该有一个承装任务的集合
private ConcurrentLinkedQueue<Task> workQueue = new ConcurrentLinkedQueue<Task>();
//2 使用HashMap去承装所有的worker对象
private HashMap<String, Thread> workers = new HashMap<String, Thread>();
//3 使用一个容器承装每一个worker并非执行任务的结果集
private ConcurrentHashMap<String, Object> resultMap = new ConcurrentHashMap<String, Object>();
//4 构造方法
public Master(Worker worker, int workerCount){
// 每一个worker对象都需要有Master的引用 workQueue用于任务的领取，resultMap用于任务的提交
worker.setWorkerQueue(this.workQueue);
worker.setResultMap(this.resultMap);
for(int i = 0 ; i < workerCount; i++){
//key表示每一个worker的名字, value表示线程执行对象
workers.put("子节点" + Integer.toString(i), new Thread(worker));
}
}
//5 提交方法
public void submit(Task task){
this.workQueue.add(task);
}
//6 需要有一个执行的方法（启动应用程序 让所有的worker工作）
public void execute(){
for(Map.Entry<String, Thread> me : workers.entrySet()){
me.getValue().start();
}
}
//8 判断线程是否执行完毕
public boolean isComplete() {
for(Map.Entry<String, Thread> me : workers.entrySet()){
if(me.getValue().getState() != Thread.State.TERMINATED){
return false;
}
}
return true;
}
//9 返回结果集数据
public int getResult() {
int ret = 0;
for(Map.Entry<String, Object> me : resultMap.entrySet()){
//汇总的逻辑..
ret += (Integer)me.getValue();
}
return ret;
}
}

//worker
public class Worker implements Runnable {
private ConcurrentLinkedQueue<Task> workQueue;
private ConcurrentHashMap<String, Object> resultMap;
public void setWorkerQueue(ConcurrentLinkedQueue<Task> workQueue) {
this.workQueue = workQueue;
}
public void setResultMap(ConcurrentHashMap<String, Object> resultMap) {
this.resultMap = resultMap;
}
@Override
public void run() {
while(true){
Task input = this.workQueue.poll();
if(input == null) break;
//真正的去做业务处理
Object output = MyWorker.handle(input);
this.resultMap.put(Integer.toString(input.getId()), output);
}
}
public static Object handle(Task input) {
return null;
}
}

//子worker
public class MyWorker extends Worker {
public static Object handle(Task input) {
Object output = null;
try {
//表示处理task任务的耗时，可能是数据的加工，也可能是操作数据库...
Thread.sleep(500);
output = input.getPrice();
} catch (InterruptedException e) {
e.printStackTrace();
}
return output;
}
}

//任务
public class Task {
private int id ;
private String name;
private int price;
public int getId() {
return id;
}
public void setId(int id) {
this.id = id;
}
public String getName() {
return name;
}
public void setName(String name) {
this.name = name;
}
public int getPrice() {
return price;
}
public void setPrice(int price) {
this.price = price;
}
}

生产者消费者模式(mq:Activemq，kcxp)

Created with Raphaël 2.1.0生产者生产者mqmq消费者消费者生成数据（快）堆积生成数据消费数据（慢）

直连模式(mina/netty)

Created with Raphaël 2.1.0生产者生产者消费者消费者生产数据（慢）消费数据（快）