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这篇文章主要为大家展示了“spring boot如何使用自定义配置的线程池执行Async异步任务”，内容简而易懂，条理清晰，希望能够帮助大家解决疑惑，下面让小编带领大家一起研究并学习一下“spring boot如何使用自定义配置的线程池执行Async异步任务”这篇文章吧。
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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…………
}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;
}
}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);
}
}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.");
}
}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！
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。
以上是“spring boot如何使用自定义配置的线程池执行Async异步任务”这篇文章的所有内容，感谢各位的阅读！相信大家都有了一定的了解，希望分享的内容对大家有所帮助，如果还想学习更多知识，欢迎关注创新互联行业资讯频道！