springboot线程池+等待结束+ThreadPoolTaskExecutor

配置类

import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import org.springframework.scheduling.annotation.EnableAsync;
import org.springframework.scheduling.concurrent.ThreadPoolTaskExecutor;

import java.util.concurrent.Executor;
import java.util.concurrent.ThreadPoolExecutor;

@EnableAsync    // 启用 Spring 的异步方法执行功能
@Configuration
public class ExecutorConfig {


    // new ThreadPoolTaskExecutor();
    /**
     * 核心线程数量,默认1
     */
    private int corePoolSize = 6;

    /**
     * 最大线程数量,默认Integer.MAX_VALUE;
     */
    private int maxPoolSize = 6;

    /**
     * 空闲线程存活时间
     */
    private int keepAliveSeconds = 60;

    /**
     * 线程阻塞队列容量,默认Integer.MAX_VALUE
     */
    private int queueCapacity = 1;

    /**
     * 是否允许核心线程超时
     */
    private boolean allowCoreThreadTimeOut = false;


    @Bean("asyncExecutor")
    public Executor asyncExecutor() {
        ThreadPoolTaskExecutor executor = new ThreadPoolTaskExecutor();
        // 配置核心线程数量
        executor.setCorePoolSize(corePoolSize);
        // 配置最大线程数
        executor.setMaxPoolSize(maxPoolSize);
        // 配置队列容量
        executor.setQueueCapacity(queueCapacity);
        // 配置空闲线程存活时间
        executor.setKeepAliveSeconds(keepAliveSeconds);

        executor.setAllowCoreThreadTimeOut(allowCoreThreadTimeOut);

        // 设置拒绝策略,直接在execute方法的调用线程中运行被拒绝的任务
        executor.setRejectedExecutionHandler(new ThreadPoolExecutor.CallerRunsPolicy());

        // 执行初始化
        executor.initialize();
        return executor;
    }
}

Service

import lombok.extern.slf4j.Slf4j;
import org.springframework.scheduling.annotation.Async;
import org.springframework.scheduling.annotation.AsyncResult;
import org.springframework.stereotype.Service;
import org.springframework.ui.context.Theme;

import java.util.Random;
import java.util.concurrent.Future;

@Service
@Slf4j
public class AsyncService {

    @Async("asyncExecutor")
    public Future<String> executeAsync(int a) {
        String msg = "500";
        try {
            Thread.sleep(a * 1000L);
        } catch (InterruptedException e) {
            e.printStackTrace();
        }
        System.out.println(Thread.currentThread().getName()+":我已经输出了");

        return new AsyncResult<String>(msg);
    }
}

Controller

import lombok.extern.slf4j.Slf4j;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.web.bind.annotation.GetMapping;
import org.springframework.web.bind.annotation.RestController;

import java.util.concurrent.Future;

@Slf4j
@RestController
public class ThreadTest {
    @Autowired
    private AsyncService asyncService;

    // http://localhost:8080/threadTest
    @GetMapping("threadTest")
    public String OJ() {

        Future<String> s1 = asyncService.executeAsync(1);
        Future<String> s2 = asyncService.executeAsync(2);
        Future<String> s3 = asyncService.executeAsync(3);
        Future<String> s4 = asyncService.executeAsync(4);
        Future<String> s5 = asyncService.executeAsync(5);
        Future<String> s6 = asyncService.executeAsync(6);
        Future<String> s7 = asyncService.executeAsync(7);
        while (!(s1.isDone() && s2.isDone() && s3.isDone() && s4.isDone())) {
            try {
                Thread.sleep(1000);
                System.out.println("还没运行完毕");
            } catch (InterruptedException e) {
                e.printStackTrace();
            }
        }
        System.out.println("运行结束");
        return "ssss";
    }
}
### Spring Boot线程池优雅停止的最佳实践 在Spring Boot中管理线程池并实现其优雅关闭是一项重要任务,尤其是在应用程序需要处理大量并发请求的情况下。为了确保资源得到妥善释放以及未完成的任务可以被适当地处理,遵循一定的最佳实践至关重要。 #### 配置自定义线程池 通过`ThreadPoolTaskExecutor`来创建和配置线程池是最常见的做法之一: ```java import org.springframework.context.annotation.Bean; import org.springframework.scheduling.concurrent.ThreadPoolTaskExecutor; public class AppConfig { @Bean(name = "taskExecutor") public ThreadPoolTaskExecutor taskExecutor() { ThreadPoolTaskExecutor executor = new ThreadPoolTaskExecutor(); executor.setCorePoolSize(5); executor.setMaxPoolSize(10); executor.setQueueCapacity(25); executor.initialize(); return executor; } } ``` 当不再需要此执行程序时,在应用关闭期间应当调用它的shutdown方法以允许它终止正在运行的工作线程,并等待它们结束所有活动任务[^3]。 #### 实现优雅停机逻辑 对于实现了`SmartLifecycle`接口的服务组件来说,可以在其中重写`stop()`方法来自定义服务停止的行为;而对于普通的bean,则可以通过监听容器生命周期事件的方式达到相同目的。这里给出一种利用`@PreDestroy`注解的方法来进行清理工作: ```java import javax.annotation.PreDestroy; import org.springframework.beans.factory.annotation.Autowired; import org.springframework.stereotype.Component; @Component public class GracefulShutdownComponent { private final ThreadPoolTaskExecutor taskExecutor; @Autowired public GracefulShutdownComponent(ThreadPoolTaskExecutor taskExecutor) { this.taskExecutor = taskExecutor; } @PreDestroy public void shutdown() { System.out.println("Initiating graceful shutdown..."); // 设置拒绝策略为CallerRunsPolicy, 这样如果还有新任务进来会由主线程自己去跑这个任务而不是丢弃掉. ((ThreadPoolTaskExecutor)this.taskExecutor).setRejectedExecutionHandler(new java.util.concurrent.CallableRunsPolicy()); // 关闭线程池 this.taskExecutor.shutdown(); try { // 等待一段时间让现有任务完成 if (!this.taskExecutor.awaitTermination(60, TimeUnit.SECONDS)) { System.err.println("Timed out waiting for executor service to terminate"); } } catch (InterruptedException e) { Thread.currentThread().interrupt(); // Restore interrupted status } } } ``` 上述代码片段展示了如何在一个Spring Bean销毁之前安全地关闭关联的线程池实例。这有助于防止因突然中断而导致的数据丢失或其他异常情况发生。
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