spring boot使用自定義配置的線程池執(zhí)行Async異步任務(wù)
在前面的博客中,//chabaoo.cn/article/106718.htm 我們使用了spring boot的異步操作,當(dāng)時(shí),我們使用的是默認(rèn)的線程池,但是,如果我們想根據(jù)項(xiàng)目來定制自己的線程池了,下面就來說說,如何定制線程池!
一、增加配置屬性類
package com.chhliu.springboot.async.configuration;
import org.springframework.boot.context.properties.ConfigurationProperties;
@ConfigurationProperties(prefix = "spring.task.pool") // 該注解的locations已經(jīng)被啟用,現(xiàn)在只要是在環(huán)境中,都會(huì)優(yōu)先加載
public class TaskThreadPoolConfig {
private int corePoolSize;
private int maxPoolSize;
private int keepAliveSeconds;
private int queueCapacity;
…………省略getter,setter方法…………
}
二、創(chuàng)建線程池
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:當(dāng)pool已經(jīng)達(dá)到max size的時(shí)候,如何處理新任務(wù)
// CALLER_RUNS:不在新線程中執(zhí)行任務(wù),而是由調(diào)用者所在的線程來執(zhí)行
executor.setRejectedExecutionHandler(new ThreadPoolExecutor.CallerRunsPolicy());
executor.initialize();
return executor;
}
}
三、在主類中開啟配置支持
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} ) // 開啟配置屬性支持
public class SpringbootAsyncApplication {
public static void main(String[] args) {
SpringApplication.run(SpringbootAsyncApplication.class, args);
}
}
四、測(cè)試類
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即配置線程池的方法名,此處如果不寫自定義線程池的方法名,會(huì)使用默認(rèn)的線程池
public void doTask1(int i) throws InterruptedException{
logger.info("Task"+i+" started.");
}
}
五、測(cè)試
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.");
}
}
測(cè)試結(jié)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.
測(cè)試結(jié)果ok!
六、配置默認(rèn)的線程池
如果我們想使用默認(rèn)的線程池,但是只是想修改默認(rèn)線程池的配置,那怎么做了,此時(shí)我們需要實(shí)現(xiàn)AsyncConfigurer類,示例代碼如下:
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:該線程池被所有的異步任務(wù)共享,而不屬于某一個(gè)異步任務(wù)
* 描述:配置異步任務(wù)的線程池
* @author chhliu
* 創(chuàng)建時(shí)間: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; // 配置屬性類,見上面的代碼
@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:當(dāng)pool已經(jīng)達(dá)到max size的時(shí)候,如何處理新任務(wù)
// CALLER_RUNS:不在新線程中執(zhí)行任務(wù),而是由調(diào)用者所在的線程來執(zhí)行
executor.setRejectedExecutionHandler(new ThreadPoolExecutor.CallerRunsPolicy());
executor.initialize();
return executor;
}
@Override
public AsyncUncaughtExceptionHandler getAsyncUncaughtExceptionHandler() {// 異步任務(wù)中異常處理
return new AsyncUncaughtExceptionHandler() {
@Override
public void handleUncaughtException(Throwable arg0, Method arg1, Object... arg2) {
log.error("=========================="+arg0.getMessage()+"=======================", arg0);
log.error("exception method:"+arg1.getName());
}
};
}
} 使用的時(shí)候,只需在方法上加上@Async即可。
以上就是本文的全部?jī)?nèi)容,希望對(duì)大家的學(xué)習(xí)有所幫助,也希望大家多多支持腳本之家。
- spring boot中使用@Async實(shí)現(xiàn)異步調(diào)用任務(wù)
- spring boot異步(Async)任務(wù)調(diào)度實(shí)現(xiàn)方法
- SpringBoot實(shí)現(xiàn)定時(shí)任務(wù)和異步調(diào)用
- SpringBoot用@Async注解實(shí)現(xiàn)異步任務(wù)
- Springboot任務(wù)之異步任務(wù)的使用詳解
- 詳細(xì)講解springboot如何實(shí)現(xiàn)異步任務(wù)
- SpringBoot詳細(xì)講解異步任務(wù)如何獲取HttpServletRequest
- Spring?Boot小型項(xiàng)目如何使用異步任務(wù)管理器實(shí)現(xiàn)不同業(yè)務(wù)間的解耦
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