前言
多线程同步问题是操作系统课程重点内容,是所有程序员解决并发问题无法绕开的一个领域,当然PHP、NodeJS例外。同步问题看起来很复杂,但是只要把那几道经典例题搞懂,也就那么回事。
生产者消费者问题
生产者的主要作用是生成一定量的数据放到缓冲区中,然后重复此过程。与此同时,消费者也在缓冲区消耗这些数据。该问题的关键就是要保证生产者不会在缓冲区满时加入数据,消费者也不会在缓冲区中空时消耗数据。主要通过对缓冲区加锁,然后适时执行wait、notify即可。
package top.sourcecode.thread;import java.util.Stack;import java.util.concurrent.ExecutorService;import java.util.concurrent.Executors;import java.util.concurrent.TimeUnit;import java.util.concurrent.atomic.AtomicInteger;public class ProducerConsumer { private final int itemsNo; private Stack<Integer> stack; private final int STACK_SIZE; public ProducerConsumer(int itemsNo, int stackSize) { this.itemsNo = itemsNo; this.STACK_SIZE = stackSize; this.stack = new Stack<Integer>(); } private class Producer implements Runnable { private int count; public Producer() { this.count = 0; } public void run() { while(true) { synchronized (stack) { while(stack.size() >= STACK_SIZE) { try { stack.wait(); } catch (InterruptedException e) { // TODO Auto-generated catch block e.printStackTrace(); } } if(count < itemsNo) { produce(); try { TimeUnit.MILLISECONDS.sleep(100); } catch (InterruptedException e) { // TODO Auto-generated catch block e.printStackTrace(); } stack.notifyAll(); } else { break; } } } } private void produce() { stack.push(++count); System.out.println(Thread.currentThread().getName() + " is producing item " + count); } } private class Consumer implements Runnable { private int count; public Consumer() { this.count = 0; } public void run() { while(true) { synchronized (stack) { while(stack.empty() && !isFinished()) { try { stack.wait(); } catch (InterruptedException e) { // TODO Auto-generated catch block e.printStackTrace(); } } consume(); try { TimeUnit.MILLISECONDS.sleep(100); } catch (InterruptedException e) { // TODO Auto-generated catch block e.printStackTrace(); } stack.notifyAll(); //执行notify后,依然要把下面的代码执行完才会真正解锁。 if(isFinished()) { break; } } } } public boolean isFinished() { return count == itemsNo; } private void consume() { if(isFinished()) { return; } System.out.println(Thread.currentThread().getName() + " is consuming item " + stack.pop()); ++count; } } public static void main(String[] args) { ExecutorService exec = Executors.newCachedThreadPool(); ProducerConsumer pc = new ProducerConsumer(10, 3); Producer producer = pc.new Producer(); Consumer consumer = pc.new Consumer(); int producerNo = 3; int consumerNo = 2; for(int i = 0; i < producerNo; ++i) { exec.execute(producer); } for(int i = 0; i < consumerNo; ++i) { exec.execute(consumer); } exec.shutdown(); } }
哲学家就餐问题
一圆桌前坐着5位哲学家,两个人中间有一只筷子,桌子中央有面条。哲学家思考问题,当饿了的时候拿起左右两只筷子吃饭,必须拿到两只筷子才能吃饭。上述问题会产生死锁的情况,当5个哲学家都拿起自己右手边的筷子,准备拿左手边的筷子时产生死锁现象。解决办法是资源分级,把筷子从0到4编号,每个哲学家左手筷子的编号必须要比右手筷子小,拿筷子的时候先用左手。当四位哲学家同时拿起他们手边编号较低的餐叉时,只有编号最高的餐叉留在桌上,从而第五位哲学家就不能使用任何一只餐叉了。
package top.sourcecode.thread;import java.util.Random;import java.util.concurrent.ExecutorService;import java.util.concurrent.Executors;import java.util.concurrent.TimeUnit;public class PhilosopherDining { public static void main(String[] args) { int factor = 3; int num = 5; ExecutorService exec = Executors.newCachedThreadPool(); Chopstick[] chopsticks = new Chopstick[num]; for(int i = 0; i < num; ++i) { chopsticks[i] = new Chopstick(); } for(int i = 0; i < num; ++i) { Philosopher philosopher = null; if(i < num - 1) { philosopher = new Philosopher(chopsticks[i], chopsticks[i + 1], i, factor); } else { philosopher = new Philosopher(chopsticks[0], chopsticks[i], i, factor); } exec.execute(philosopher); } exec.shutdown(); } }class Chopstick { private boolean taken; public Chopstick() { taken = false; } public void take() { synchronized (this) { while(taken) { try { this.wait(); } catch (InterruptedException e) { // TODO Auto-generated catch block e.printStackTrace(); } } taken = true; } } public void drop() { synchronized (this) { taken = false; this.notifyAll(); } } }class Philosopher implements Runnable { private Chopstick left; private Chopstick right; private int id; private int factor; private Random random; private int count; public Philosopher(Chopstick left, Chopstick right, int id, int factor) { this.left = left; this.right = right; this.id = id; this.factor = factor; count = factor; random = new Random(); } public void eat() { left.take(); right.take(); System.out.println("Philosopher " + id + " is eating."); try { TimeUnit.MICROSECONDS.sleep(random.nextInt(factor) * 100); } catch (InterruptedException e) { // TODO Auto-generated catch block e.printStackTrace(); } } public void think() { left.drop(); right.drop(); System.out.println("Philosopher " + id + " is thinking."); try { TimeUnit.MICROSECONDS.sleep(random.nextInt(factor) * 100); } catch (InterruptedException e) { // TODO Auto-generated catch block e.printStackTrace(); } } public void run() { while(count-- > 0) { eat(); think(); } } }
读者写者问题
有读者和写者两组并发线程,共享一个文件。要求:要求:①允许多个读者可以同时对文件执行读操作;②只允许一个写者往文件中写信息;③任一写者在完成写操作之前不允许其他读者或写者工作;④写者执行写操作前,应让已有的读者和写者全部退出。这个问题主要通过信号量来解决,写者优先。
package top.sourcecode.thread;import java.util.Random;import java.util.concurrent.ExecutorService;import java.util.concurrent.Executors;import java.util.concurrent.Semaphore;import java.util.concurrent.TimeUnit;public class ReaderWriter { private int readerCount; private Semaphore wmutex;//优先写 private Semaphore rwmutex;//读者与写者之间互斥 private Semaphore readerCountMutex;//读者更新readerCount时互斥 public ReaderWriter() { readerCount = 0; wmutex = new Semaphore(1); rwmutex = new Semaphore(1); readerCountMutex = new Semaphore(1); } private class Reader implements Runnable { public void read() { try { wmutex.acquire(); readerCountMutex.acquire(); if(readerCount == 0) { rwmutex.acquire(); } ++readerCount; readerCountMutex.release(); wmutex.release(); System.out.println(Thread.currentThread().getName() + " is reading."); TimeUnit.MICROSECONDS.sleep(new Random().nextInt(10) * 10); readerCountMutex.acquire(); --readerCount; if(readerCount == 0) { rwmutex.release(); } readerCountMutex.release(); } catch (InterruptedException e) { // TODO Auto-generated catch block e.printStackTrace(); } } public void run() { read(); } } private class Writer implements Runnable { public void write() { try { wmutex.acquire(); rwmutex.acquire(); System.out.println(Thread.currentThread().getName() + " is writing."); TimeUnit.MICROSECONDS.sleep(new Random().nextInt(100) * 1000); rwmutex.release(); wmutex.release(); } catch (InterruptedException e) { // TODO Auto-generated catch block e.printStackTrace(); } } public void run() { write(); } } public static void main(String[] args) { int readerNum = 5; int writerNum = 2; ReaderWriter rw = new ReaderWriter(); Reader reader = rw.new Reader(); Writer writer = rw.new Writer(); ExecutorService exec = Executors.newCachedThreadPool(); for(int i = 0; i < writerNum; ++i) { exec.execute(writer); } for(int i = 0; i < readerNum; ++i) { exec.execute(reader); } exec.shutdown(); } }
readerCountMutex和rwmutex可以合并为一个锁。
public class ReaderWriter { private int readerNum; private Semaphore wmutex;//优先写 private Semaphore rwmutex;//读者与写者之间互斥 public ReaderWriter(int readerNum) { this.readerNum = readerNum; wmutex = new Semaphore(1); rwmutex = new Semaphore(readerNum); } private class Reader implements Runnable { public void read() { try { wmutex.acquire(); rwmutex.acquire(); wmutex.release(); System.out.println(Thread.currentThread().getName() + " is reading."); TimeUnit.MICROSECONDS.sleep(new Random().nextInt(10) * 10); rwmutex.release(); } catch (InterruptedException e) { // TODO Auto-generated catch block e.printStackTrace(); } } public void run() { read(); } } private class Writer implements Runnable { public void write() { try { wmutex.acquire(); rwmutex.acquire(readerNum); System.out.println(Thread.currentThread().getName() + " is writing."); TimeUnit.MICROSECONDS.sleep(new Random().nextInt(100) * 1000); rwmutex.release(readerNum); wmutex.release(); } catch (InterruptedException e) { // TODO Auto-generated catch block e.printStackTrace(); } } public void run() { write(); } } public static void main(String[] args) { int readerNum = 20; int writerNum = 2; ReaderWriter rw = new ReaderWriter(readerNum); Reader reader = rw.new Reader(); Writer writer = rw.new Writer(); ExecutorService exec = Executors.newCachedThreadPool(); for(int i = 0; i < readerNum; ++i) { exec.execute(reader); } for(int i = 0; i < writerNum; ++i) { exec.execute(writer); } exec.shutdown(); } }
作者:MountainKing
链接:https://www.jianshu.com/p/af4e692a861b
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