JDK线程池和Spring线程池的使用

Posted 2020-11-28 Bien94

JDK线程池和Spring线程池实例，异步调用，可以直接使用
(1)JDK线程池的使用，此处采用单例的方式提供，见示例：
public class ThreadPoolUtil {
private static int corePoolSize = 5;
private static int maximumPoolSize = 10;
private static long keepAliveTime = 60L;
private static TimeUnit unit = TimeUnit.SECONDS;
private static int capacity = 1024;
private static ThreadFactory namedThreadFactory = new ThreadFactoryBuilder().setNameFormat("jdk-thread-pool-%d").build();
private static final ExecutorService executorService = new ThreadPoolExecutor(corePoolSize,
maximumPoolSize,
keepAliveTime,
unit,
new LinkedBlockingQueue<>(capacity),
namedThreadFactory,
new ThreadPoolExecutor.AbortPolicy());

private ThreadPoolUtil () {

}

public static ExecutorService getExecutorService () {
return executorService;
}
}

在其它地方可以直接这样使用：
ThreadPoolUtil.getExecutorService().execute(() -> {
System.out.println("test1");
System.out.println("test2");
})

(2)Spring线程池的使用，此处通过配置类的方式配置线程池的相关属性，见示例：
@Configuration
@EnableAsync
public class DocataThreadBeanConfig {private int corePoolSize = 5;private int maxPoolSize = 10;private int queueCapacity = 1024;private String namePrefix = "async-service-task-";
// 上述属性可以通过@Value来读取配置值

@Bean(name = "asyncServiceTaskExecutor")
public TaskExecutor asyncServiceExecutor() {
   ThreadPoolTaskExecutor executor = new ThreadPoolTaskExecutor();
   // 设置核心线程数
   executor.setCorePoolSize(corePoolSize);
   // 设置最大线程数
   executor.setMaxPoolSize(maxPoolSize);
   // 设置队列容量
   executor.setQueueCapacity(queueCapacity);
   // 设置线程活跃时间（秒）
   executor.setKeepAliveSeconds(60);
   // 设置默认线程名称
   executor.setThreadNamePrefix(namePrefix);
   // 设置拒绝策略
   executor.setRejectedExecutionHandler(new ThreadPoolExecutor.CallerRunsPolicy());
   // 等待所有任务结束后再关闭线程池
   executor.setWaitForTasksToCompleteOnShutdown(true);
   executor.initialize();;
   return executor;
  }
}

在其它文件中需要这样使用：
@Resource(name="asyncServiceTaskExecutor")
private ThreadPoolTaskExecutor asyncServiceTaskExecutor;

不要直接使用@Autowired，否则会提示失败的
@Autowired
private ThreadPoolTaskExecutor asyncServiceTaskExecutor;

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