今天就跟大家聊聊有关怎么在java中利用注解实现一个可配置线程池，可能很多人都不太了解，为了让大家更加了解，小编给大家总结了以下内容，希望大家根据这篇文章可以有所收获。
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Java的优点是什么
1. 简单，只需理解基本的概念，就可以编写适合于各种情况的应用程序；2. 面向对象；3. 分布性，Java是面向网络的语言；4. 鲁棒性，java提供自动垃圾收集来进行内存管理，防止程序员在管理内存时容易产生的错误。；5. 安全性，用于网络、分布环境下的Java必须防止病毒的入侵。6. 体系结构中立，只要安装了Java运行时系统，就可在任意处理器上运行。7. 可移植性，Java可以方便地移植到网络上的不同机器。8.解释执行，Java解释器直接对Java字节码进行解释执行。
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）)
*
*
*
*
* 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）
* |
*
*
*/
public class PoolConfig {
private int queueCapacity = 200;
private int count = 0;
private int maxCount = 0;
private int aliveSec;
public int getQueueCapacity() {
return queueCapacity;
}
public void setQueueCapacity(int queueCapacity) {
this.queueCapacity = queueCapacity;
}
public void setCount(int count) {
this.count = count;
}
public void setMaxCount(int maxCount) {
this.maxCount = maxCount;
}
public void setAliveSec(int aliveSec) {
this.aliveSec = aliveSec;
}
public int getCount() {
return count;
}
public int getMaxCount() {
return maxCount;
}
public int getAliveSec() {
return aliveSec;
}
}
ThreadPoolConfig(线程池配置 yml配置项以thread开头):
import java.util.ArrayList;
import java.util.HashMap;
import java.util.List;
import java.util.Map;
import org.springframework.boot.context.properties.ConfigurationProperties;
import org.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)
*
*
*
*
* 属性名称
*
* 属性含义
*
* |
* pool
* |
* 线程池核心配置
* 【{@link PoolConfig}】
* |
* |
* count
* |
* 线程池各个业务任务初始的任务数
* |
*
*
*/
@Component
@ConfigurationProperties(prefix="thread")
public class ThreadPoolConfig {
private PoolConfig pool = new PoolConfig();
Map count = new HashMap<>();
public PoolConfig getPool() {
return pool;
}
public void setPool(PoolConfig pool) {
this.pool = pool;
}
public Map getCount() {
return count;
}
}
定义Task注解，方便使用：
@Target(ElementType.TYPE)
@Retention(RetentionPolicy.RUNTIME)
@Documented
@Component
public @interface ExcutorTask {
/**
* The value may indicate a suggestion for a logical ExcutorTask name,
* to be turned into a Spring bean in case of an autodetected ExcutorTask .
* @return the suggested ExcutorTask name, if any
*/
String value() default "";
}通过反射获取使用Task注解的任务集合：
public class Beans {
private static final char PREFIX = '.';
public static ConcurrentMap scanBeanClassNames(){
ConcurrentMap beanClassNames = new ConcurrentHashMap<>();
ClassPathScanningCandidateComponentProvider provider = new ClassPathScanningCandidateComponentProvider(false);
provider.addIncludeFilter(new AnnotationTypeFilter(ExcutorTask.class));
for(Package pkg : Package.getPackages()){
String basePackage = pkg.getName();
Set components = provider.findCandidateComponents(basePackage);
for (BeanDefinition component : components) {
String beanClassName = component.getBeanClassName();
try {
Class clazz = Class.forName(component.getBeanClassName());
boolean isAnnotationPresent = clazz.isAnnotationPresent(ZimaTask.class);
if(isAnnotationPresent){
ZimaTask task = clazz.getAnnotation(ExcutorTask.class);
String aliasName = task.value();
if(aliasName != null && !"".equals(aliasName)){
beanClassNames.put(aliasName, component.getBeanClassName());
}
}
} catch (ClassNotFoundException e) {
e.printStackTrace();
}
beanClassNames.put(beanClassName.substring(beanClassName.lastIndexOf(PREFIX) + 1), component.getBeanClassName());
}
}
return beanClassNames;
}
} 线程执行类TaskPool：
@Component
public class TaskPool {
public ThreadPoolTaskExecutor poolTaskExecutor;
@Autowired
private ThreadPoolConfig threadPoolConfig;
@Autowired
private ApplicationContext context;
private final Integer MAX_POOL_SIZE = 2000;
private PoolConfig poolCfg;
private Map tasksCount;
private ConcurrentMap beanClassNames;
@PostConstruct
public void init() {
beanClassNames = Beans.scanBeanClassNames();
poolTaskExecutor = new ThreadPoolTaskExecutor();
poolCfg = threadPoolConfig.getPool();
tasksCount = threadPoolConfig.getCount();
int corePoolSize = poolCfg.getCount(),
maxPoolSize = poolCfg.getMaxCount(),
queueCapacity = poolCfg.getQueueCapacity(),
minPoolSize = 0, maxCount = (corePoolSize << 1);
for(String taskName : 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_SIZE < corePoolSize){
corePoolSize = MAX_POOL_SIZE;
}
poolTaskExecutor.setCorePoolSize(corePoolSize);
}
if(maxPoolSize > 0){
if(maxPoolSize <= maxCount){
maxPoolSize = maxCount;
}
if(MAX_POOL_SIZE < maxPoolSize){
maxPoolSize = MAX_POOL_SIZE;
}
poolTaskExecutor.setMaxPoolSize(maxPoolSize);
}
if(poolCfg.getAliveSec() > 0){
poolTaskExecutor.setKeepAliveSeconds(poolCfg.getAliveSec());
}
poolTaskExecutor.initialize();
}
public void execute(Class... clazz){
int i = 0, len = tasksCount.size();
for(; i < len; i++){
Integer taskCount = tasksCount.get(i);
for(int t = 0; t < taskCount; t++){
try{
Object taskObj = context.getBean(clazz[i]);
if(taskObj != null){
poolTaskExecutor.execute((Runnable) taskObj);
}
}catch(Exception ex){
ex.printStackTrace();
}
}
}
}
public void execute(String... args){
int i = 0, len = tasksCount.size();
for(; i < len; i++){
Integer taskCount = tasksCount.get(i);
for(int t = 0; t < taskCount; t++){
try{
Object taskObj = null;
if(context.containsBean(args[i])){
taskObj = context.getBean(args[i]);
}else{
if(beanClassNames.containsKey(args[i].toLowerCase())){
Class clazz = Class.forName(beanClassNames.get(args[i].toLowerCase()));
taskObj = context.getBean(clazz);
}
}
if(taskObj != null){
poolTaskExecutor.execute((Runnable) taskObj);
}
}catch(Exception ex){
ex.printStackTrace();
}
}
}
}
public void execute(){
for(String taskName : tasksCount.keySet()){
Integer taskCount = tasksCount.get(taskName);
for(int t = 0; t < taskCount; t++){
try{
Object taskObj = null;
if(context.containsBean(taskName)){
taskObj = context.getBean(taskName);
}else{
if(beanClassNames.containsKey(taskName)){
Class clazz = Class.forName(beanClassNames.get(taskName));
taskObj = context.getBean(clazz);
}
}
if(taskObj != null){
poolTaskExecutor.execute((Runnable) taskObj);
}
}catch(Exception ex){
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
public class TaskManager {
@Resource
private TaskPool taskPool;
@PostConstruct
public void executor(){
taskPool.execute();
}
}3.具体使用
@ExcutorTask
public class NeedExcutorTask implements Runnable{
@Override
public void run() {
Thread.sleep(1000L);
log.info("====== 任务执行 =====")
}
}看完上述内容，你们对怎么在java中利用注解实现一个可配置线程池有进一步的了解吗？如果还想了解更多知识或者相关内容，请关注创新互联行业资讯频道，感谢大家的支持。
本文题目：怎么在java中利用注解实现一个可配置线程池
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