okHttp3 笔记(1)OKhttp3 入口分析

public synchronized ExecutorService executorService() {
    if (executorService == null) {
      executorService = new ThreadPoolExecutor(0, Integer.MAX_VALUE, 60, TimeUnit.SECONDS,
          new SynchronousQueue(), Util.threadFactory("OkHttp Dispatcher", false));
    }
    return executorService;
  }

ThreadPoolExecutor的参数

  • corePoolSize :0 核心并发数,就是在线程池不饱和时,线程池可拥有的线程数。如果是0的话,空闲一段时间后所有线程将全部被销毁。
    -maximumPoolSize:线程池最大线程容量。
    -keepAliveTIme: 当总线程数大于核心线程数 corePoolSize 那部分线程存活的时间。
    -BlockingQueue:

这个参数被称为阻塞队列(生产者消费者模型)

1.ArrayBlockingQueue
2.LinkedBlockingQueue
上此两个要注意指定最大容量,如果生产者的效率很高,会把队列缓存占满,然而没有指定最大值会消耗掉内存
3.PriorityBlockingQueue
4.DelayQueue
5.SynchronousQueue
它是一个不存储元素的阻塞队列。每个插入操作必须等待另一个线程的移除操作,同样移除操作也是如此。因此队列中没有存储一个元素。(多线程打印出0101010101)

练习下队列,看有毛用

public class BlockQueueTest {

    private static final int QUEUESIZE= 1;
    private ArrayBlockingQueue integers;

    @Test
    public void BlockQueueTest(){
        integers = new ArrayBlockingQueue<>(QUEUESIZE);
        Consumer consumer = new Consumer();
        Producer producer = new Producer();
        consumer.start();
        producer.start();
    }

    class Consumer extends Thread{
        @Override
        public void run() {
            super.run();
            while (true)
            {
                try {
                    Integer take = integers.take();
                    System.out.println("消费元素:"+take);
                } catch (InterruptedException e) {
                    e.printStackTrace();
                }
            }
        }
    }

    class Producer extends Thread{
        @Override
        public void run() {
            super.run();
            while (true)
            {
                try {
                    integers.put(1);
                    System.out.println("生产元素int 1");
                } catch (InterruptedException e) {
                    e.printStackTrace();
                }
            }
        }
    }
}

打印010101 顺序一个没乱

package com.system.bhouse.bhouse.Queue;

import org.junit.Test;

import java.util.concurrent.SynchronousQueue;

/**
 * Created by wz on 2018-11-11.
 */

public class SynchronousQueueTest {

    private static final int QUEUESIZE= 1;
    private SynchronousQueue integers;
    private volatile boolean isConsumer = false;

    @Test
    public void BlockQueueTest(){
        integers = new SynchronousQueue<>();
        Consumer consumer = new Consumer();
        Producer producer = new Producer();
        consumer.start();
        producer.start();
    }

    class Consumer extends Thread{
        @Override
        public void run() {
            super.run();
            synchronized (SynchronousQueueTest.this) {
            while (true)
            {
                if (isConsumer) {
                    System.out.println("消费元素:" + 1);
                    isConsumer = !isConsumer;
                    SynchronousQueueTest.this.notify();
                }else {
                    try {
                        SynchronousQueueTest.this.wait();
                    } catch (InterruptedException e) {
                        e.printStackTrace();
                    }
                }

            }
            }
        }
    }

    class Producer extends Thread{
        @Override
        public void run() {
            super.run();
            synchronized (SynchronousQueueTest.this) {
            while (true)
            {
                if (!isConsumer) {
                    System.out.println("生产元素int 0");
                    isConsumer = !isConsumer;
                    SynchronousQueueTest.this.notify();
                }else {
                    try {
                        SynchronousQueueTest.this.wait();
                    } catch (InterruptedException e) {
                        e.printStackTrace();
                    }
                }
                }
            }
        }
    }
}

以为SynchronousQueue可以一对一通信配置,应该是打印01010101的最佳配置,发现你无法控制队列里的同步机制。代码运行到那队列操作就停止了。

package com.system.bhouse.bhouse.Queue;

import org.junit.Test;

import java.util.concurrent.SynchronousQueue;

/**
 * Created by wz on 2018-11-11.
 */

public class SynchronousQueueTest2 {

    private SynchronousQueue integers;
    private volatile boolean isConsumer = false;

    @Test
    public void BlockQueueTest(){
        integers = new SynchronousQueue<>();
        Consumer consumer = new Consumer();
        Producer producer = new Producer();
        consumer.start();
        producer.start();
    }

    class Consumer extends Thread{
        @Override
        public void run() {
            super.run();
            while (true)
            {
                if (isConsumer) {
                    try {
                        Integer take = integers.take();
                        System.out.println(take);
                        isConsumer=!isConsumer;
                    } catch (InterruptedException e) {
                        e.printStackTrace();
                    }
                }
            }
        }
    }

    class Producer extends Thread {
        @Override
        public void run() {
            super.run();
            while (true) {
                if (!isConsumer) {
                    try {
                        isConsumer = !isConsumer;
                        integers.put(1);
                        System.out.println(0);
                    } catch (InterruptedException e) {
                        e.printStackTrace();
                    }
                }
            }
        }
    }
}

言归正传

public synchronized ExecutorService executorService() {
    if (executorService == null) {
      executorService = new ThreadPoolExecutor(0, Integer.MAX_VALUE, 60, TimeUnit.SECONDS,
          new SynchronousQueue(), Util.threadFactory("OkHttp Dispatcher", false));
    }
    return executorService;
  }

来测试一下这个线程池特点

public class CacheTheadPool {

    private static ThreadPoolExecutor executorService;

    @Test
    public void cacheTheadPool(){
//        for (int i=0;i<100;i++) {
//            newCachedThreadPool().execute(new AsyncCall("thread"+i));
//        }

        newCachedThreadPool().execute(new AsyncCall("thread"+1));
        newCachedThreadPool().execute(new AsyncCall("thread"+2));
        newCachedThreadPool().execute(new AsyncCall("thread"+3));

        System.out.println("先开3个,按书上讲会有3个是新建线程");
        System.out.println("线程池核心:"+executorService.getCorePoolSize());
        System.out.println("线程池数目:"+executorService.getPoolSize());
        System.out.println("队列任务数目:"+executorService.getQueue().size());

        //让上面的用完
//        try {
//            Thread.sleep(500);
//        } catch (InterruptedException e) {
//            e.printStackTrace();
//        }

        newCachedThreadPool().execute(new AsyncCall("thread"+4));
        newCachedThreadPool().execute(new AsyncCall("thread"+5));
        newCachedThreadPool().execute(new AsyncCall("thread"+6));

        System.out.println("再开3个,按书上讲会有3个是,看看是不是复用");
        System.out.println("线程池核心:"+executorService.getCorePoolSize());
        System.out.println("线程池数目:"+executorService.getPoolSize());
        System.out.println("队列任务数目:"+executorService.getQueue().size());

        try {
            Thread.sleep(8000);
        } catch (InterruptedException e) {
            e.printStackTrace();
        }

        newCachedThreadPool().execute(new AsyncCallSleep("thread"+7));
        newCachedThreadPool().execute(new AsyncCallSleep("thread"+8));
        newCachedThreadPool().execute(new AsyncCallSleep("thread"+9));

        System.out.println("再开3个,按书上讲会有3个是,看看是不是新建");
        System.out.println("线程池核心:"+executorService.getCorePoolSize());
        System.out.println("线程池数目:"+executorService.getPoolSize());
        System.out.println("队列任务数目:"+executorService.getQueue().size());
    }

    /**
     * 建立的都是 用户线程  优先级比较高.
     * @return
     */
    public synchronized  ExecutorService newCachedThreadPool(){
        if (executorService == null) {
            executorService = new ThreadPoolExecutor(0, 6, 5, TimeUnit.SECONDS,
                    new SynchronousQueue(), Util.threadFactory("OkHttp Dispatcher", false));
        }
        return executorService;
    }


    final class AsyncCall extends NamedRunnable {

        private AsyncCall(Object... arg){
            super("OkHttp %s",arg);
        }

        @Override
        protected void execute() {
            String name = Thread.currentThread().getName();
            System.out.println("当前处理的线程名是:"+name);
            try {
                Thread.sleep(2000);
            } catch (InterruptedException e) {
                e.printStackTrace();
            }
        }
    }

    final class AsyncCallSleep extends NamedRunnable {

        private AsyncCallSleep(Object... arg){
            super("OkHttpSleep %s",arg);
        }

        @Override
        protected void execute() {
            String name = Thread.currentThread().getName();
            System.out.println("当前处理的随眠线程名是:"+name);
            try {
                Thread.sleep(3000);
            } catch (InterruptedException e) {
                e.printStackTrace();
            }
        }
    }

    public abstract class NamedRunnable implements Runnable {
        protected final String name;

        public NamedRunnable(String format, Object... args) {
            this.name = String.format(format, args);
        }

        @Override public final void run() {
            String oldName = Thread.currentThread().getName();
            Thread.currentThread().setName(name);
            try {
                execute();
            } finally {
                Thread.currentThread().setName(oldName);
            }
        }

        protected abstract void execute();
    }
}

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