Java并发编程新突破:结构化并发与虚拟线程实战指南
一、虚拟线程核心原理
轻量级线程的革新性实现:
// 虚拟线程基础使用
try (var executor = Executors.newVirtualThreadPerTaskExecutor()) {
IntStream.range(0, 10_000).forEach(i -> {
executor.submit(() -> {
Thread.sleep(Duration.ofSeconds(1));
System.out.println(i);
return i;
});
});
}
// 与传统线程池对比
// 传统线程池(平台线程)
ExecutorService oldPool = Executors.newFixedThreadPool(200);
// 虚拟线程池
ExecutorService virtualPool = Executors.newVirtualThreadPerTaskExecutor();
// 自定义虚拟线程
Thread.Builder builder = Thread.ofVirtual()
.name("worker-", 0)
.inheritInheritableThreadLocals(false);
Thread virtualThread = builder.unstarted(() -> {
System.out.println("Running in virtual thread");
});
virtualThread.start();
核心优势:轻量级(1MB可创建百万线程)、自动调度、兼容现有API、低延迟
二、结构化并发实战
1. 任务生命周期管理
// 结构化并发基本用法
Response handleRequest() throws Exception {
try (var scope = new StructuredTaskScope.ShutdownOnFailure()) {
Future user = scope.fork(() -> fetchUser());
Future order = scope.fork(() -> fetchOrder());
scope.join(); // 等待所有子任务
scope.throwIfFailed(); // 检查异常
return new Response(user.resultNow(), order.resultNow());
}
}
// 超时控制
try (var scope = new StructuredTaskScope.ShutdownOnFailure()) {
Future future = scope.fork(() -> queryDatabase());
scope.joinUntil(Instant.now().plusSeconds(3));
if (future.state() == Future.State.RUNNING) {
scope.shutdown(); // 取消所有子任务
throw new TimeoutException();
}
}
2. 复杂任务编排
// 多阶段任务处理
void processOrder(Order order) throws Exception {
try (var scope = new StructuredTaskScope.ShutdownOnFailure()) {
// 第一阶段:验证
Future validate = scope.fork(() -> validate(order));
Future checkStock = scope.fork(() -> checkInventory(order));
scope.join();
if (!validate.resultNow()) {
throw new ValidationException();
}
// 第二阶段:执行
try (var innerScope = new StructuredTaskScope.ShutdownOnFailure()) {
Future payment = innerScope.fork(() -> charge(order));
Future shipping = innerScope.fork(() -> scheduleDelivery(order));
innerScope.join();
sendConfirmation(
payment.resultNow(),
shipping.resultNow()
);
}
}
}
三、性能优化策略
1. 虚拟线程调优
// 虚拟线程创建选项
Thread.Builder builder = Thread.ofVirtual()
.name("worker-", 0) // 命名模板
.allowSetThreadLocals(false) // 禁用ThreadLocal
.inheritInheritableThreadLocals(false);
// 执行策略配置
ExecutorService executor = Executors.newThreadPerTaskExecutor(
Thread.ofVirtual()
.factory()
.withScheduler(ForkJoinPool.commonPool())
);
// 系统属性调优
-Djdk.virtualThreadScheduler.parallelism=32
-Djdk.virtualThreadScheduler.maxPoolSize=256
-Djdk.virtualThreadScheduler.minRunnable=4
2. 异步IO整合
// 虚拟线程+异步HTTP客户端
HttpClient client = HttpClient.newBuilder()
.executor(Executors.newVirtualThreadPerTaskExecutor())
.build();
List<CompletableFuture> futures = urls.stream()
.map(url -> client.sendAsync(
HttpRequest.newBuilder(URI.create(url)).build(),
HttpResponse.BodyHandlers.ofString()
).thenApply(HttpResponse::body))
.toList();
// 结构化并发包装
try (var scope = new StructuredTaskScope.ShutdownOnFailure()) {
List<Future> results = futures.stream()
.map(future -> scope.fork(future::join))
.toList();
scope.join();
return results.stream().map(Future::resultNow).toList();
}
四、电商系统实战案例
1. 高并发库存服务
// 库存扣减服务
public class InventoryService {
private final ReentrantLock lock = new ReentrantLock();
@Transactional
public void deduct(String itemId, int quantity) {
try (var scope = new StructuredTaskScope.ShutdownOnFailure()) {
// 并行检查
Future available = scope.fork(
() -> checkAvailable(itemId, quantity));
Future frozen = scope.fork(
() -> checkFrozen(itemId));
scope.join();
if (!available.resultNow() || frozen.resultNow()) {
throw new InventoryException();
}
// 加锁扣减
lock.lock();
try {
updateStock(itemId, -quantity);
createRecord(itemId, quantity);
} finally {
lock.unlock();
}
}
}
}
// 批量查询优化
public List batchQuery(List ids) {
try (var scope = new StructuredTaskScope.ShutdownOnSuccess()) {
List<Future> futures = ids.stream()
.map(id -> scope.fork(() -> queryProduct(id)))
.toList();
return scope.join()
.stream()
.flatMap(f -> Stream.of(f.resultNow()))
.toList();
}
}
五、生产环境最佳实践
- 线程本地存储:使用ScopedValue替代ThreadLocal
- 错误处理:为每个fork的任务添加异常处理
- 资源限制:控制最大虚拟线程数量
- 监控指标:跟踪虚拟线程创建/销毁数量
- 调试技巧:使用jcmd查看虚拟线程状态