在前面的博客中, 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!
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。
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