spring boot-执行Async任务时，使用自定义的线程池_public class asynctaskexecutepool implements async-优快云博客

本文介绍如何在SpringBoot项目中定制线程池，包括配置属性类、创建线程池、测试类等步骤，并提供使用默认线程池但修改配置的方法。

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在前面的博客中，http://blog.youkuaiyun.com/liuchuanhong1/article/details/54605697 我们使用了spring boot的异步操作，当时，我们使用的是默认的线程池，但是，如果我们想根据项目来定制自己的线程池了，下面就来说说，如何定制线程池！

一、增加配置属性类

package com.chhliu.springboot.async.configuration;
 
import org.springframework.boot.context.properties.ConfigurationProperties;
 
@ConfigurationProperties(prefix = "spring.task.pool") // 该注解的locations已经被启用，现在只要是在环境中，都会优先加载
public class TaskThreadPoolConfig {
    private int corePoolSize;
 
    private int maxPoolSize;
 
    private int keepAliveSeconds;
 
    private int queueCapacity;
    
    …………省略getter,setter方法…………
}

二、创建线程池

package com.chhliu.springboot.async.pool;
 
import java.util.concurrent.Executor;
import java.util.concurrent.ThreadPoolExecutor;
 
import org.springframework.beans.factory.annotation.Autowired;
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 com.chhliu.springboot.async.configuration.TaskThreadPoolConfig;
 
@Configuration
@EnableAsync
public class TaskExecutePool {
 
    @Autowired
    private TaskThreadPoolConfig config;
 
    @Bean
    public Executor myTaskAsyncPool() {
        ThreadPoolTaskExecutor executor = new ThreadPoolTaskExecutor();
        executor.setCorePoolSize(config.getCorePoolSize());
        executor.setMaxPoolSize(config.getMaxPoolSize());
        executor.setQueueCapacity(config.getQueueCapacity());
        executor.setKeepAliveSeconds(config.getKeepAliveSeconds());
        executor.setThreadNamePrefix("MyExecutor-");
 
        // rejection-policy：当pool已经达到max size的时候，如何处理新任务
        // CALLER_RUNS：不在新线程中执行任务，而是由调用者所在的线程来执行
        executor.setRejectedExecutionHandler(new ThreadPoolExecutor.CallerRunsPolicy());
        executor.initialize();
        return executor;
    }
}

三、在主类中开启配置支持

package com.chhliu.springboot.async;
 
import org.springframework.boot.SpringApplication;
import org.springframework.boot.autoconfigure.SpringBootApplication;
import org.springframework.boot.context.properties.EnableConfigurationProperties;
import org.springframework.scheduling.annotation.EnableAsync;
 
import com.chhliu.springboot.async.configuration.TaskThreadPoolConfig;
 
@SpringBootApplication
@EnableAsync
@EnableConfigurationProperties({TaskThreadPoolConfig.class} ) // 开启配置属性支持
public class SpringbootAsyncApplication {
 
    public static void main(String[] args) {
        SpringApplication.run(SpringbootAsyncApplication.class, args);
    }
}

四、测试类

package com.chhliu.springboot.async.pool;
 
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import org.springframework.scheduling.annotation.Async;
import org.springframework.stereotype.Component;
 
@Component  
public class AsyncTask {
    protected final Logger logger = LoggerFactory.getLogger(this.getClass());  
      
    @Async
    public void doTask1(int i) throws InterruptedException{  
        logger.info("Task"+i+" started.");  
    }  
}

五、测试

package com.chhliu.springboot.async;
 
import java.util.concurrent.ExecutionException;
 
import org.junit.Test;
import org.junit.runner.RunWith;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.boot.test.context.SpringBootTest;
import org.springframework.test.context.junit4.SpringRunner;
 
import com.chhliu.springboot.async.pool.AsyncTask;
 
@RunWith(SpringRunner.class)
@SpringBootTest
public class SpringbootAsyncApplicationTests {
    protected final Logger logger = LoggerFactory.getLogger(this.getClass());
    @Autowired
    private AsyncTask asyncTask;
 
    @Test
    public void AsyncTaskTest() throws InterruptedException, ExecutionException {
 
        for (int i = 0; i < 100; i++) {
            asyncTask.doTask1(i);
        }
 
        logger.info("All tasks finished.");
    }
}

测试结果如下：

2017-03-20 20:15:15.208  INFO 4068 --- [  MyExecutor-10] c.c.springboot.async.pool.AsyncTask      : Task60 started.
2017-03-20 20:15:15.208  INFO 4068 --- [  MyExecutor-25] c.c.springboot.async.pool.AsyncTask      : Task61 started.
2017-03-20 20:15:15.208  INFO 4068 --- [   MyExecutor-6] c.c.springboot.async.pool.AsyncTask      : Task62 started.
2017-03-20 20:15:15.208  INFO 4068 --- [  MyExecutor-23] c.c.springboot.async.pool.AsyncTask      : Task63 started.
2017-03-20 20:15:15.208  INFO 4068 --- [  MyExecutor-20] c.c.springboot.async.pool.AsyncTask      : Task64 started.
2017-03-20 20:15:15.208  INFO 4068 --- [  MyExecutor-19] c.c.springboot.async.pool.AsyncTask      : Task65 started.
2017-03-20 20:15:15.208  INFO 4068 --- [  MyExecutor-16] c.c.springboot.async.pool.AsyncTask      : Task66 started.
2017-03-20 20:15:15.208  INFO 4068 --- [  MyExecutor-15] c.c.springboot.async.pool.AsyncTask      : Task67 started.
2017-03-20 20:15:15.208  INFO 4068 --- [  MyExecutor-12] c.c.springboot.async.pool.AsyncTask      : Task68 started.
2017-03-20 20:15:15.209  INFO 4068 --- [   MyExecutor-1] c.c.springboot.async.pool.AsyncTask      : Task69 started.
2017-03-20 20:15:15.209  INFO 4068 --- [  MyExecutor-11] c.c.springboot.async.pool.AsyncTask      : Task81 started.
2017-03-20 20:15:15.209  INFO 4068 --- [   MyExecutor-8] c.c.springboot.async.pool.AsyncTask      : Task82 started.
2017-03-20 20:15:15.209  INFO 4068 --- [   MyExecutor-7] c.c.springboot.async.pool.AsyncTask      : Task83 started.
2017-03-20 20:15:15.209  INFO 4068 --- [   MyExecutor-4] c.c.springboot.async.pool.AsyncTask      : Task84 started.
2017-03-20 20:15:15.209  INFO 4068 --- [  MyExecutor-29] c.c.springboot.async.pool.AsyncTask      : Task85 started.
2017-03-20 20:15:15.209  INFO 4068 --- [  MyExecutor-21] c.c.springboot.async.pool.AsyncTask      : Task86 started.
2017-03-20 20:15:15.209  INFO 4068 --- [  MyExecutor-17] c.c.springboot.async.pool.AsyncTask      : Task88 started.
测试结果ok！

六、配置默认的线程池

如果我们想使用默认的线程池，但是只是想修改默认线程池的配置，那怎么做了，此时我们需要实现AsyncConfigurer类，示例代码如下：

import java.lang.reflect.Method;
import java.util.concurrent.Executor;
import java.util.concurrent.ThreadPoolExecutor;
 
import org.springframework.aop.interceptor.AsyncUncaughtExceptionHandler;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.context.annotation.Configuration;
import org.springframework.scheduling.annotation.AsyncConfigurer;
import org.springframework.scheduling.concurrent.ThreadPoolTaskExecutor;
 
import com.chhliu.cq.emailservice.threadconfiguration.TaskThreadPoolConfig;
 
import lombok.extern.slf4j.Slf4j;  
 
/**
 * 注意：该线程池被所有的异步任务共享，而不属于某一个异步任务
 * 描述：配置异步任务的线程池
 */
@Slf4j
@Configuration
public class AsyncTaskExecutePool implements AsyncConfigurer{  
  
    @Autowired  
    private TaskThreadPoolConfig config;  // 配置属性类，见上面的代码
  
    @Override
    public Executor getAsyncExecutor() {
        ThreadPoolTaskExecutor executor = new ThreadPoolTaskExecutor();
        executor.setCorePoolSize(config.getCorePoolSize());  
        executor.setMaxPoolSize(config.getMaxPoolSize());  
        executor.setQueueCapacity(config.getQueueCapacity());  
        executor.setKeepAliveSeconds(config.getKeepAliveSeconds());  
        executor.setThreadNamePrefix("taskExecutor-");  
  
        // rejection-policy：当pool已经达到max size的时候，如何处理新任务  
        // CALLER_RUNS：不在新线程中执行任务，而是由调用者所在的线程来执行  
        executor.setRejectedExecutionHandler(new ThreadPoolExecutor.CallerRunsPolicy());
        executor.initialize();  
        return executor;  
    }
 
    @Override
    public AsyncUncaughtExceptionHandler getAsyncUncaughtExceptionHandler() {// 异步任务中异常处理
        return new AsyncUncaughtExceptionHandler() {
            
            @Override
            public void handleUncaughtException(Throwable arg0, Method arg1, Object... arg2) {
                log.error("=========================="+arg0.getMessage()+"=======================", arg0);
                log.error("exception method:"+arg1.getName());
            }
        };
    }  
}

使用的时候，只需在方法上加上@Async即可。