最近正值秋招旺季,面试免不了问一些多线程的问题,而在Java多线程编程中,为了确保程序的稳定性和性能,我们需要遵循一系列的最佳实践。本文将介绍这些最佳实践,并提供代码示例来帮助理解。
线程池可以有效地管理线程的创建和销毁,复用线程资源,减少开销。
import java.util.concurrent.ExecutorService;
import java.util.concurrent.Executors;
public class ThreadPoolExample {
public static void main(String[] args) {
ExecutorService executorService = Executors.newFixedThreadPool(5);
for (int i = 0; i < 10; i++) {
executorService.submit(() -> {
System.out.println("执行任务: " + Thread.currentThread().getName());
});
}
executorService.shutdown();
}
}
Thread.stop()
该方法已被弃用,因为它不安全,可能导致资源无法正确释放。
volatile
关键字确保变量的更改对所有线程立即可见。
volatile
public class VolatileExample {
private static volatile boolean running = true;
public static void main(String[] args) {
Thread thread = new Thread(() -> {
while (running) {
// 执行任务
}
System.out.println("线程已停止");
});
thread.start();
running = false; // 改变变量状态,通知线程停止
}
}
Atomic
类确保操作的原子性。
AtomicInteger
import java.util.concurrent.atomic.AtomicInteger;
public class AtomicExample {
private static AtomicInteger counter = new AtomicInteger(0);
public static void main(String[] args) {
int numberOfThreads = 10;
ExecutorService executorService = Executors.newFixedThreadPool(numberOfThreads);
for (int i = 0; i < numberOfThreads; i++) {
executorService.submit(() -> {
counter.incrementAndGet();
});
}
executorService.shutdown();
try {
executorService.awaitTermination(1, TimeUnit.SECONDS);
System.out.println("最终计数: " + counter.get());
} catch (InterruptedException e) {
e.printStackTrace();
}
}
}
如CountDownLatch
、CyclicBarrier
、Semaphore
等。
CountDownLatch
import java.util.concurrent.CountDownLatch;
public class CountDownLatchExample {
public static void main(String[] args) throws InterruptedException {
final int totalThreads = 5;
CountDownLatch latch = new CountDownLatch(totalThreads);
for (int i = 0; i < totalThreads; i++) {
new Thread(() -> {
System.out.println("子线程: " + Thread.currentThread().getName() + " 执行完毕");
latch.countDown();
}).start();
}
latch.await();
System.out.println("所有子线程执行完毕,主线程继续执行");
}
}
使用同步机制来确保线程安全。
public class ThreadSafeClass {
private int count = 0;
public synchronized void increment() {
count++;
}
public synchronized int getCount() {
return count;
}
}
合理地限制线程数量,可以有效提高程序性能。
捕获并处理线程可能抛出的异常。
import java.util.concurrent.ExecutorService;
import java.util.concurrent.Executors;
import java.util.concurrent.Future;
public class ThreadExceptionHandling {
public static void main(String[] args) throws Exception {
ExecutorService executorService = Executors.newSingleThreadExecutor();
Future<?> future = executorService.submit(() -> {
throw new RuntimeException("线程异常");
});
try {
future.get(); // 等待线程完成
} catch (ExecutionException e) {
Throwable cause = e.getCause();
if (cause instanceof RuntimeException) {
System.out.println("捕获线程异常: " + cause.getMessage());
}
}
executorService.shutdown();
}
}
Future
和Callable
跟踪异步任务的状态和结果。
Callable
和Future
import java.util.concurrent.*;
public class FutureExample {
public static void main(String[] args) throws ExecutionException, InterruptedException {
ExecutorService executorService = Executors.newSingleThreadExecutor();
Future<Integer> future = executorService.submit(() -> {
return 123;
});
Integer result = future.get(); // 获取结果
System.out.println("任务结果: " + result);
executorService.shutdown();
}
}
通过使用锁排序、超时机制等方法来避免死锁。
import java.util.concurrent.locks.*;
public class DeadlockAvoidance {
private static final ReentrantLock lock1 = new ReentrantLock();
private static final ReentrantLock lock2 = new ReentrantLock();
public static void main(String[] args) {
new Thread(() -> {
lock1.lock();
try {
Thread.sleep(100);
lock2.lock();
try {
// 执行任务
} finally {
lock2.unlock();
}
} finally {
lock1.unlock();
}
}).start();
}
}
ThreadLocal
为每个线程提供独立实例的变量。
ThreadLocal
public class ThreadLocalExample {
private static ThreadLocal<Integer> threadLocalValue = new ThreadLocal<>();
public static void main(String[] args) {
new Thread(() -> {
threadLocalValue.set(10);
System.out.println("线程 " + Thread.currentThread().getName() + " 的值: " + threadLocalValue.get());
}).start();
new Thread(() -> {
threadLocalValue.set(20);
System.out.println("线程 " + Thread.currentThread().getName() + " 的值: " + threadLocalValue.get());
}).start();
}
}
通过创建多个线程执行特定任务,并测量执行时间来评估性能。
import java.util.concurrent.*;
public class PerformanceTest {
public static void main(String[] args) throws InterruptedException {
int threadSize = 100;
ExecutorService executorService = Executors.newFixedThreadPool(threadSize);
long start = System.currentTimeMillis();
for (int j = 0; j < threadSize; j++) {
executorService.execute(new Task());
}
executorService.shutdown();
executorService.awaitTermination(Integer.MAX_VALUE, TimeUnit.DAYS);
long end = System.currentTimeMillis();
System.out.println("用时:" + (end - start) + "ms");
}
static class Task implements Runnable {
public void run() {
// 模拟任务
}
}
}
CompletableFuture
简化回调模式,并提供更好的错误处理和异步结果组合。
CompletableFuture
import java.util.concurrent.*;
public class CompletableFutureExample {
public static void main(String[] args) {
CompletableFuture<Void> future = CompletableFuture.runAsync(() -> {
System.out.println("异步任务执行");
}).thenRun(() -> {
System.out.println("第一个回调执行");
}).exceptionally(ex -> {
System.out.println("异常处理: " + ex.getMessage());
return null;
});
future.join();
}
}
使用线程池来管理线程。
import java.util.concurrent.*;
public class LoopThreadExample {
public static void main(String[] args) {
ExecutorService executorService = Executors.newCachedThreadPool();
for (int i = 0; i < 10; i++) {
executorService.submit(() -> {
System.out.println("执行任务: " + Thread.currentThread().getName());
});
}
executorService.shutdown();
}
}
UncaughtExceptionHandler
捕获并处理线程中未捕获的异常。
UncaughtExceptionHandler
public class UncaughtExceptionHandlerExample {
public static void main(String[] args) {
Thread thread = new Thread(() -> {
throw new RuntimeException("未捕获异常");
});
thread.setUncaughtExceptionHandler(new Thread.UncaughtExceptionHandler() {
@Override
public void uncaughtException(Thread t, Throwable e) {
System.out.println("捕获未捕获异常: " + e.getMessage());
}
});
thread.start();
}
}
通过遵循这些最佳实践,可以编写出更健壮、更高效的多线程程序。希望这篇文章能帮助你更好地理解Java多线程的最佳实践。如果你有任何疑问或需要进一步的帮助,请随时留言。