当一个catch语句执行以后,其他的子句被旁路,执行从try/catch块以后的代码开始继续。下面的例子设计了两种不同的异常类型: //Demonstratemultiplecatchstatements. classMultiCatch{ publicstaticvoidmain(Stringargs[]){ try{ inta=args.length; System.out.println("a="+a); intb=42/a; intc[]={1}; c[42]=...
异常处理程序紧跟在 try 块之后,以关键字 catch 表示: try{// Code that might generate exceptions}catch(Type1 id1){// Handle exceptions of Type1}catch(Type2 id2){// Handle exceptions of Type2}catch(Type3 id3){// Handle exceptions of Type3} 复制 每个catch (异常处理程序)看起来就像是接收...
Java 多线程 三种实现方式 Java多线程实现方式主要有三种:继承Thread类、实现Runnable接 口、使用ExecutorService、Callable 实现有返回结果的多线程。其中前两种方式线程执行完后都没有返回值,只有最后一种Callable是带返回值的,返回结果可以从Future中取出来 关于ExecutorService 参考:Java-线程池专题 (美团) 1、继承Threa...
public class SynchronizedUsageBlock { /** * synchronized(this) 加锁 */ public void thisMethod() { synchronized (this) { System.out.println("synchronized(this) 加锁:" + LocalDateTime.now()); try { // 休眠 3s TimeUnit.SECONDS.sleep(3); } catch (InterruptedException e) { e.printStackTrac...
public class MultiThreadDownload { private static final int THREAD_COUNT = 4; // 线程数量 public static void main(String[] args) { try { URL url = new URL(\http://example.com/file.zip\ // 下载文件的URL地址 HttpURLConnection connection = (HttpURLConnection) url.openConnection(); ...
对于同时执行多个线程的multi-threaded程序,我们需要获取并释放锁,以保持进程之间的同步。 java的FileChannel类还提供一种称为trylock()的方法,该方法用于获取对指定File的锁定。此方法用于获取在该方法的参数中指定的文件的任何区域上的锁定。 锁定可能是比标准同步块更灵活,更复杂的线程同步机制。锁可以是用于控制多个...
具体实现代码如下：public class SimpleMultiPattern { //持有自己类的引用 private static final...
C:\Windows\Profiles\uName on multi-user Windows 95/98/2000 systems C:\Windows on single-user Windows 95/98/2000 systemsOf course, keystore files can be located as desired. In some environments, it may make sense for multiple keystores to exist. For example, in JSSE (SSL/TLS), one ke...
disruptor = new Disruptor<>(factory, ringBufferSize, threadFactory, ProducerType.MULTI, waitStrategy); } DisruptorUtil.java private static final int RINGBUFFER_MIN_SIZE = 128; private static final int RINGBUFFER_DEFAULT_SIZE = 256 * 1024; ...
Because threads can operate independently on different areas of an array for this algorithm, you will see a clear performance boost on multicore architectures compared to a mono-thread algorithm that would iterate over each integer in the array. Figure 1: Partial Sums over an Array of Integers ...