java 注解实现一个可配置线程池的方法示例
前言
项目需要多线程执行一些Task,为了方便各个服务的使用。特意封装了一个公共工具类,下面直接撸代码:
PoolConfig(线程池核心配置参数):
/** *线程池核心配置(
* *基本线程池数量、最大线程池数量、队列初始容量、线程连接保持活动秒数(默认60s)) */ publicclassPoolConfig{ privateintqueueCapacity=200; privateintcount=0; privateintmaxCount=0; privateintaliveSec; publicintgetQueueCapacity(){ returnqueueCapacity; } publicvoidsetQueueCapacity(intqueueCapacity){ this.queueCapacity=queueCapacity; } publicvoidsetCount(intcount){ this.count=count; } publicvoidsetMaxCount(intmaxCount){ this.maxCount=maxCount; } publicvoidsetAliveSec(intaliveSec){ this.aliveSec=aliveSec; } publicintgetCount(){ returncount; } publicintgetMaxCount(){ returnmaxCount; } publicintgetAliveSec(){ returnaliveSec; } }** * *属性名称 * *属性含义 * * *queueCapacity * *基本线程池数量 * * *count * *最大线程池数量 * * *maxCount * *队列初始容量 * * * *aliveSec * *线程连接保持活动秒数(默认60s) *
ThreadPoolConfig(线程池配置yml配置项以thread开头):
importjava.util.ArrayList; importjava.util.HashMap; importjava.util.List; importjava.util.Map; importorg.springframework.boot.context.properties.ConfigurationProperties; importorg.springframework.stereotype.Component; /** *线程池配置(
* *线程池核心配置、各个业务处理的任务数量) */ @Component @ConfigurationProperties(prefix="thread") publicclassThreadPoolConfig{ privatePoolConfigpool=newPoolConfig(); Map** * *属性名称 * *属性含义 * * *pool * *线程池核心配置 *【{@linkPoolConfig}】 * * * *count * *线程池各个业务任务初始的任务数 * count=newHashMap<>(); publicPoolConfiggetPool(){ returnpool; } publicvoidsetPool(PoolConfigpool){ this.pool=pool; } publicMap getCount(){ returncount; } }
定义Task注解,方便使用:
@Target(ElementType.TYPE)
@Retention(RetentionPolicy.RUNTIME)
@Documented
@Component
public@interfaceExcutorTask{
/**
*ThevaluemayindicateasuggestionforalogicalExcutorTaskname,
*tobeturnedintoaSpringbeanincaseofanautodetectedExcutorTask.
*@returnthesuggestedExcutorTaskname,ifany
*/
Stringvalue()default"";
}
通过反射获取使用Task注解的任务集合:
publicclassBeans{
privatestaticfinalcharPREFIX='.';
publicstaticConcurrentMapscanBeanClassNames(){
ConcurrentMapbeanClassNames=newConcurrentHashMap<>();
ClassPathScanningCandidateComponentProviderprovider=newClassPathScanningCandidateComponentProvider(false);
provider.addIncludeFilter(newAnnotationTypeFilter(ExcutorTask.class));
for(Packagepkg:Package.getPackages()){
StringbasePackage=pkg.getName();
Setcomponents=provider.findCandidateComponents(basePackage);
for(BeanDefinitioncomponent:components){
StringbeanClassName=component.getBeanClassName();
try{
Class>clazz=Class.forName(component.getBeanClassName());
booleanisAnnotationPresent=clazz.isAnnotationPresent(ZimaTask.class);
if(isAnnotationPresent){
ZimaTasktask=clazz.getAnnotation(ExcutorTask.class);
StringaliasName=task.value();
if(aliasName!=null&&!"".equals(aliasName)){
beanClassNames.put(aliasName,component.getBeanClassName());
}
}
}catch(ClassNotFoundExceptione){
e.printStackTrace();
}
beanClassNames.put(beanClassName.substring(beanClassName.lastIndexOf(PREFIX)+1),component.getBeanClassName());
}
}
returnbeanClassNames;
}
}
线程执行类TaskPool:
@Component
publicclassTaskPool{
publicThreadPoolTaskExecutorpoolTaskExecutor;
@Autowired
privateThreadPoolConfigthreadPoolConfig;
@Autowired
privateApplicationContextcontext;
privatefinalIntegerMAX_POOL_SIZE=2000;
privatePoolConfigpoolCfg;
privateMaptasksCount;
privateConcurrentMapbeanClassNames;
@PostConstruct
publicvoidinit(){
beanClassNames=Beans.scanBeanClassNames();
poolTaskExecutor=newThreadPoolTaskExecutor();
poolCfg=threadPoolConfig.getPool();
tasksCount=threadPoolConfig.getCount();
intcorePoolSize=poolCfg.getCount(),
maxPoolSize=poolCfg.getMaxCount(),
queueCapacity=poolCfg.getQueueCapacity(),
minPoolSize=0,maxCount=(corePoolSize<<1);
for(StringtaskName:tasksCount.keySet()){
minPoolSize+=tasksCount.get(taskName);
}
if(corePoolSize>0){
if(corePoolSize<=minPoolSize){
corePoolSize=minPoolSize;
}
}else{
corePoolSize=minPoolSize;
}
if(queueCapacity>0){
poolTaskExecutor.setQueueCapacity(queueCapacity);
}
if(corePoolSize>0){
if(MAX_POOL_SIZE0){
if(maxPoolSize<=maxCount){
maxPoolSize=maxCount;
}
if(MAX_POOL_SIZE0){
poolTaskExecutor.setKeepAliveSeconds(poolCfg.getAliveSec());
}
poolTaskExecutor.initialize();
}
publicvoidexecute(Class>...clazz){
inti=0,len=tasksCount.size();
for(;iclazz=Class.forName(beanClassNames.get(args[i].toLowerCase()));
taskObj=context.getBean(clazz);
}
}
if(taskObj!=null){
poolTaskExecutor.execute((Runnable)taskObj);
}
}catch(Exceptionex){
ex.printStackTrace();
}
}
}
}
publicvoidexecute(){
for(StringtaskName:tasksCount.keySet()){
IntegertaskCount=tasksCount.get(taskName);
for(intt=0;tclazz=Class.forName(beanClassNames.get(taskName));
taskObj=context.getBean(clazz);
}
}
if(taskObj!=null){
poolTaskExecutor.execute((Runnable)taskObj);
}
}catch(Exceptionex){
ex.printStackTrace();
}
}
}
}
}
如何使用?(做事就要做全套^_^)
1.因为使用的springboot项目,需要在application.properties或者application.yml添加
#配置执行的task线程数 thread.count.NeedExcutorTask=4 #最大存活时间 thread.pool.aliveSec=300000 #其他配置同理
2.将我们写的线程配置进行装载到我们的项目中
@Configuration
publicclassTaskManager{
@Resource
privateTaskPooltaskPool;
@PostConstruct
publicvoidexecutor(){
taskPool.execute();
}
}
3.具体使用
@ExcutorTask
publicclassNeedExcutorTaskimplementsRunnable{
@Override
publicvoidrun(){
Thread.sleep(1000L);
log.info("======任务执行=====")
}
}
以上就是创建一个可扩展的线程池相关的配置(望指教~~~)。希望对大家的学习有所帮助,也希望大家多多支持毛票票。