Java concurrent programming practical detailed explanation of concurrent programming: multi-threaded parallel data processing technology to improve application performance. Java concurrency mechanism: Thread: a lightweight execution unit that can execute tasks in parallel. Lock: Synchronize shared resource access to avoid simultaneous operations. Atomic operations: uninterruptible, either all succeed or all fail. Concurrent Collection: Thread-safe collection class that allows multi-threaded operations. Practical case: Multi-threaded crawling of web pages uses ExecutorService and CompletionService to manage threads and collect results to improve crawling efficiency.
Detailed practical explanation of Java concurrent programming
Introduction
Concurrent programming is multi-threading Technology that processes data in parallel can significantly improve application performance. In Java, there are multiple concurrency mechanisms, including threads, locks, atomic operations, and concurrent collections.
Threads
Threads are lightweight execution units that can execute tasks in parallel. To create a thread, you can use the Thread
class or implement the Runnable
interface.
// 使用 Thread 类创建线程 Thread thread = new Thread(new Runnable() { @Override public void run() { System.out.println("Hello from thread!"); } }); // 使用 Runnable 创建线程 Runnable runnable = () -> System.out.println("Hello from runnable!"); Thread thread = new Thread(runnable);
Lock
Lock is used to synchronize access to shared resources and prevent multiple threads from operating the same data at the same time. Commonly used locks in Java are the synchronized
keyword and the ReentrantLock
class.
Atomic operation
Atomic operation is an uninterruptible operation, either all executions succeed or all fail. Java provides atomic classes such as AtomicInteger
to encapsulate basic type operations to ensure thread safety.
Concurrent Collections
Concurrent collections are thread-safe collection classes that allow multiple threads to access and modify data simultaneously without explicit synchronization. Commonly used concurrent collections include ConcurrentHashMap
and CopyOnWriteArrayList
.
Practical case: Multi-threaded crawling of web pages
The following is a practical case of using multi-threading to crawl web pages:
import java.util.concurrent.*; import java.util.List; public class WebCrawler { public static void main(String[] args) { ExecutorService executor = Executors.newFixedThreadPool(10); CompletionService<String> completionService = new ExecutorCompletionService<>(executor); List<String> urls = List.of("url1", "url2", "url3", ..., "urlN"); for (String url : urls) { completionService.submit(() -> fetchPage(url)); } executor.shutdown(); executor.awaitTermination(1, TimeUnit.DAYS); for (int i = 0; i < urls.size(); i++) { try { String page = completionService.take().get(); System.out.println("Fetched page: " + page); } catch (InterruptedException | ExecutionException e) { e.printStackTrace(); } } } private static String fetchPage(String url) { // 模拟爬取网页操作 return "Page content for " + url; } }
In this case , multiple threads crawl web pages in parallel, improving crawling efficiency. CompletionService
is used to collect and manage the results returned by threads, avoiding the complexity of multi-thread management.
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