在前面的博客中,http://www.zzvips.com/article/153013.html 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
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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…………
}
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二、创建线程池
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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;
}
}
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三、在主类中开启配置支持
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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);
}
}
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四、测试类
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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." );
}
}
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五、测试
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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." );
}
}
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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:
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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());
}
};
}
}
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使用的时候,只需在方法上加上@Async即可。
总结
以上所述是小编给大家介绍的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,小编会及时回复大家的。在此也非常感谢大家对服务器之家网站的支持!
原文链接:http://blog.csdn.net/liuchuanhong1/article/details/64132520