JUC 即 java.util.concurrent 包,提供了大量的工具类来简化并发编程。
ReadWriteLock 读写锁,在读时允许其他线程读不允许写,在写时不允许其他线程读和写。
通过读写锁对象分别取出读锁和写锁。
ReadWriteLock rwlock = new ReentrantReadWriteLock();
Lock rlock = rwlock.readLock();
Lock wlock = rwlock.writeLock();
1.ReadWriteLock 提升了整体效率
package com.concurrent.juc.ch06;
import java.util.concurrent.CountDownLatch;
import java.util.concurrent.locks.Lock;
import java.util.concurrent.locks.ReadWriteLock;
import java.util.concurrent.locks.ReentrantReadWriteLock;
public class ReadWriteLockTest {
ReadWriteLock rwlock = new ReentrantReadWriteLock();
Lock rlock = rwlock.readLock();
Lock wlock = rwlock.writeLock();
String val = "读写锁";
CountDownLatch latch = new CountDownLatch(120);
void read() {
try {
rlock.lock();
Thread.sleep(100);
System.out.println("read finished");
latch.countDown();
} catch (InterruptedException e) {
e.printStackTrace();
} finally {
rlock.unlock();
}
}
void write(String str) {
try {
wlock.lock();
Thread.sleep(1000);
System.out.println("write finished");
val = str;
latch.countDown();
} catch (InterruptedException e) {
e.printStackTrace();
} finally {
wlock.unlock();
}
}
public static void main(String[] args) throws InterruptedException {
ReadWriteLockTest t = new ReadWriteLockTest();
long start = System.currentTimeMillis();
for(int i=0;i<100;i++)
new Thread(t::read,"读线程"+i).start();
for(int i=0;i<20;i++)
new Thread(()->{
t.write(System.currentTimeMillis()+"写入");
}).start();
t.latch.await();
long end = System.currentTimeMillis();
System.out.println("耗时:"+(end-start));
}
}

2. 如果使用普通锁整体效率低
public class ReadWriteLockTest2 {
Lock lock = new ReentrantLock();
String val = "读写锁";
CountDownLatch latch = new CountDownLatch(120);
void read() {
try {
lock.lock();
Thread.sleep(10);
System.out.println("read finished");
latch.countDown();
} catch (InterruptedException e) {
e.printStackTrace();
} finally {
lock.unlock();
}
}
void write(String str) {
try {
lock.lock();
Thread.sleep(1000);
System.out.println("write finished");
val = str;
latch.countDown();
} catch (InterruptedException e) {
e.printStackTrace();
} finally {
lock.unlock();
}
}
public static void main(String[] args) throws InterruptedException {
ReadWriteLockTest2 t = new ReadWriteLockTest2();
long start = System.currentTimeMillis();
for(int i=0;i<100;i++)
new Thread(t::read,"读线程"+i).start();
for(int i=0;i<20;i++)
new Thread(()->{
t.write(System.currentTimeMillis()+"写入");
}).start();
t.latch.await();
long end = System.currentTimeMillis();
System.out.println("耗时:"+(end-start));
}
}
运行耗时:

总结
ReadWriteLock 读写锁,在读时允许其他线程读,不允许写,在写时不允许其他线程读和写。
通过细分场景,在读多写少的场景中,提升了性能。
多线程系列在github上有一个开源项目,主要是本系列博客的实验代码。
https://github.com/forestnlp/concurrentlab
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本文通过对比使用ReadWriteLock和普通锁的示例,展示了在读多写少的场景下,ReadWriteLock如何提升并发效率。在读取操作时,多个线程可以同时读取;而写入时,则独占资源,确保数据一致性。通过实验,证明了ReadWriteLock在特定场景下的性能优势。
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