线程高级篇-读写锁ReentrantReadWriteLock

转载原文:http://blog.csdn.net/john8169/article/details/53228016

读写锁:  分为读锁和写锁,多个读锁不互斥,读锁和写锁互斥,这是有JVM自己控制的.如果代码只能读取数据,可以多人同时读,不能同时写,上读锁,

如果代码要修改数据,只能有一个人写,而且不能同时读取.上写锁.

线程进入写锁的前提条件:

  没有其他线程的读锁和写锁;

线程进入读锁的前提条件:

  没有其他线程的写锁或写请求

    (a).重入方面其内部的WriteLock可以获取ReadLock,但是反过来ReadLock想要获得WriteLock则永远都不要想。 
     (b).WriteLock可以降级为ReadLock,顺序是:先获得WriteLock再获得ReadLock,然后释放WriteLock,这时候线程将保持Readlock的持有。反过来ReadLock想要升级为WriteLock则不可能,为什么?参看(a),呵呵. 
     (c).ReadLock可以被多个线程持有并且在作用时排斥任何的WriteLock,而WriteLock则是完全的互斥。这一特性最为重要,因为对于高读取频率而相对较低写入的数据结构,使用此类锁同步机制则可以提高并发量。 
     (d).不管是ReadLock还是WriteLock都支持Interrupt,语义与ReentrantLock一致。 
     (e).WriteLock支持Condition并且与ReentrantLock语义一致,而ReadLock则不能使用Condition,否则抛出UnsupportedOperationException异常。 

package com.imooc.locks;

import java.util.concurrent.locks.ReadWriteLock;
import java.util.concurrent.locks.ReentrantReadWriteLock;

public class Queue {
    
    private Object data = null;//共享数据,只能有一个线程写该数据,但可以多个线程读取该数据
    
    //读写锁
    ReadWriteLock rwl = new ReentrantReadWriteLock();
    
    // 相当于读操作  
    public void get() {  
        rwl.readLock().lock();  
        try {  
            System.out.println(Thread.currentThread().getName() + " be ready to read data!");  
            Thread.sleep((long) (Math.random() * 1000));  
            System.out.println(Thread.currentThread().getName() + "have read data :" + data);  
        } catch (InterruptedException e) {  
            e.printStackTrace();  
        } finally {  
            rwl.readLock().unlock();  
        }  
    }  
  
    // 相当于写操作  
    public void put(Object data) {  
        rwl.writeLock().lock();  
        try {  
            System.out.println(Thread.currentThread().getName() + " be ready to write data!");  
            Thread.sleep((long) (Math.random() * 1000));  
            this.data = data;  
            System.out.println(Thread.currentThread().getName() + " have write data: " + data);  
        } catch (InterruptedException e) {  
            e.printStackTrace();  
        } finally {  
            rwl.writeLock().unlock();  
        }  
    }  

}
package com.imooc.locks;

import java.util.Random;

public class ReadWriteLockTest {
    
    public static void main(String[] args) {
    
        final Queue q3 = new Queue();  
        
        for (int i = 0; i < 3; i++) {  
            new Thread() {  
                public void run() {  
                    while (true) {  
                        q3.get();  
                    }  
                }  
            }.start();  
            new Thread() {  
                public void run() {  
                    while (true) {  
                        q3.put(new Random().nextInt(10000));  
                    }  
                }  
            }.start();  
        }  
    }
} 
Thread-0 be ready to read data!
Thread-2 be ready to read data!
Thread-4 be ready to read data!
Thread-0have read data :null
Thread-2have read data :null
Thread-4have read data :null
Thread-1 be ready to write data!
Thread-1 have write data: 3101
Thread-1 be ready to write data!
Thread-1 have write data: 8258
Thread-1 be ready to write data!
Thread-1 have write data: 7242
Thread-3 be ready to write data!
Thread-3 have write data: 4810
Thread-5 be ready to write data!
Thread-5 have write data: 7597
Thread-5 be ready to write data!
Thread-5 have write data: 8800
Thread-0 be ready to read data!
Thread-4 be ready to read data!
Thread-2 be ready to read data!
Thread-0have read data :8800
Thread-2have read data :8800
Thread-4have read data :8800
Thread-1 be ready to write data!
Thread-1 have write data: 6606
Thread-1 be ready to write data!
Thread-1 have write data: 5436
Thread-1 be ready to write data!
Thread-1 have write data: 3912
Thread-1 be ready to write data!
Thread-1 have write data: 7689
Thread-3 be ready to write data!
Thread-3 have write data: 3102
Thread-3 be ready to write data!
Thread-3 have write data: 466
Thread-3 be ready to write data!
Thread-3 have write data: 7377
Thread-3 be ready to write data!
Thread-3 have write data: 5461
Thread-3 be ready to write data!
Thread-3 have write data: 175
Thread-3 be ready to write data!
Thread-3 have write data: 8805
Thread-3 be ready to write data!
Thread-3 have write data: 8898
Thread-5 be ready to write data!
Thread-5 have write data: 8823
Thread-5 be ready to write data!
Thread-5 have write data: 5615
Thread-5 be ready to write data!
Thread-5 have write data: 8118
Thread-0 be ready to read data!
Thread-2 be ready to read data!
Thread-4 be ready to read data!
Thread-0have read data :8118
Thread-2have read data :8118
Thread-4have read data :8118
Thread-1 be ready to write data!
Thread-1 have write data: 5314
Thread-1 be ready to write data!

  从打印结果可以看出:

多个线程可以同时读取数据,但是只有一个线程可以写数据;

原文地址:https://www.cnblogs.com/Wanted-Tao/p/6379363.html