spring boot使用自定义的线程池执行Async任务

spring boot使用自定义的线程池执行Async任务

在前面的博客中，//jb51.net/article/134866.htm 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("myTaskAsyncPool") //myTaskAsynPool即配置线程池的方法名，此处如果不写自定义线程池的方法名，会使用默认的线程池

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. 

20http://17-03-20 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. 

2017GtjrKcAC-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

* @author chhliu

* 创建时间：2017年5月22日 上午10:20:56

* @version 1.2.0

*/

@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。

总结

以上所述是给大家介绍的spring boot使用自定义的线程池执行Async任务，希望对大家有所帮助，如果大家有任何疑问请给我留言，会及时回复大家的。在此也非常感谢大家对我们网站的支持！

版权声明：本文内容由网络用户投稿，版权归原作者所有，本站不拥有其著作权，亦不承担相应法律责任。如果您发现本站中有涉嫌抄袭或描述失实的内容，请联系我们jiasou666@gmail.com 处理，核实后本网站将在24小时内删除侵权内容。