} final CountDownLatch countDownLatch = new CountDownLatch(count); //使用Guava的ListeningExecutorService...装饰线程池 ListeningExecutorService executorService = MoreExecutors.listeningDecorator(threadPoolExecutor
createListeningExecutorService() { // 创建线程池 ListeningExecutorService listeningExecutorService...listeningDecorator(Executors.newFixedThreadPool(10)); return listeningExecutorService; } } (...listeningExecutorService; @RequestMapping("/test/guava") public void execute() { // 记录开始时间...listeningExecutorService; @RequestMapping("/test/senior") public void execute() { long start...= System.currentTimeMillis(); // 任务1 ListenableFuture future1 = listeningExecutorService
import com.google.common.util.concurrent.ListenableFuture; import com.google.common.util.concurrent.ListeningExecutorService...创建一个线程池 ExecutorService delegate = Executors.newFixedThreadPool(5); try { ListeningExecutorService...com.itsoku.chat34.Demo1 - 任务执行完毕了,我被回调了 14:25:52.064 [main] INFO com.itsoku.chat34.Demo1 - 10 说明: ListeningExecutorService...通过MoreExecutors.listeningDecorator创建一个ListeningExecutorService对象,需传递一个ExecutorService参数,传递的ExecutorService...ListeningExecutorService的submit方法用来异步执行一个任务,返回ListenableFuture,ListenableFuture接口继承于juc中的Future接口,对Future
),当future执行失败,则执行此方法 创建 根据JDK的 ExecutorService.submit(Callable)这个方法的返回,可以初始化一个异步的计算future,Guava 提供了ListeningExecutorService...接口,这个接口无论在ExecutorService的哪里返回一个正常的Future,都会返回一个ListenableFuture,将ExecutorService 转化为 ListeningExecutorService...ListeningExecutorService service = MoreExecutors.listeningDecorator(Executors.newFixedThreadPool(10))
java.util.concurrent.Callable; public class ListenableFutureTest3 { public static void main(String[] args) { ListeningExecutorService...java.util.concurrent.Callable; public class ListenableFutureTest { public static void main(String[] args) { ListeningExecutorService
ExecutorService executorService = Executors.newFixedThreadPool(1); // 基于jdk线程池,创建支持异步回调的线程池 ListeningExecutorService...listeningExecutorService = MoreExecutors.listeningDecorator(executorService); long start = System.currentTimeMillis...具体的异步访问任务 com.google.common.util.concurrent.ListenableFuture> ans = listeningExecutorService.submit...; listeningExecutorService.shutdown(); } 看到这里自然而然会有一个疑问,异步任务完成的回调,是怎么实现呢? 欢迎各位小伙伴评论给出看法 II.
以便需要线程执行的返回值时得到对应的Future对象 package com.test.message.config; import com.google.common.util.concurrent.ListeningExecutorService...package com.test.message.transaction.impl; import com.google.common.util.concurrent.ListeningExecutorService...static final ThreadLocal> RUNNABLES = new ThreadLocal(); @Autowired private ListeningExecutorService...listeningExecutorService; /** * 当该方法被调用时,会检查当前线程的同步器是否处于激活状态,即上下文是否存在事务 * *...listeningExecutorService; @Resource private MessageService messageService; /** *
(count); ExecutorService executorService = Executors.newFixedThreadPool(8); ListeningExecutorService...listeningExecutorService = MoreExecutors.listeningDecorator(executorService); while (countNum...countNum : list.size()))); ListenableFuture listenableFuture = listeningExecutorService.submit
它返回一个常规的Future,guava提供了ListeningExecutorService接口,它返回ListenableFuture。...上午 **/ @Slf4j public class ListenableFutureUtils { public static void main(String[] args) { ListeningExecutorService...import com.google.common.util.concurrent.ListenableFuture; import com.google.common.util.concurrent.ListeningExecutorService...日 10:43 上午 **/ public class Test4 { public static void main(String[] args) { final ListeningExecutorService...executorService = MoreExecutors .listeningDecorator(Executors.newFixedThreadPool(2)); final ListeningExecutorService
public abstract static class AsyncCacheLoader extends CacheLoader { private final ListeningExecutorService...MoreExecutors.listeningDecorator(Executors.newSingleThreadExecutor()); protected ListeningExecutorService
ExecutorEngine 2.1 ListeningExecutorService 2.2 关闭 2.3 执行 SQL 任务 3....2.1 ListeningExecutorService Guava( Java 工具库 ) 提供的继承自 ExecutorService 的线程服务接口,提供创建 ListenableFuture 功能...下面看看 ExecutorEngine 如何初始化 ListeningExecutorService // ShardingDataSource.java public ShardingDataSource...MoreExecutors#listeningDecorator() 创建 ListeningExecutorService,这样 #submit(), #invokeAll() 可以返回 ListenableFuture
import com.google.common.util.concurrent.ListenableFuture; import com.google.common.util.concurrent.ListeningExecutorService...RateLimiter类似于JDK的信号量Semphore,他用来限制对资源并发访问的线程数 */ public static void testRateLimiter() { ListeningExecutorService...new Task("is "+ i)); } } public static void testListenableFuture() { ListeningExecutorService
• ① ExecutorEngine> sql执行引擎 com.google.common.util.concurrent.ListeningExecutorService 线程池 •② PreparedStatementExecutor
ExecutorEngine> sql执行引擎 com.google.common.util.concurrent.ListeningExecutorService 线程池 PreparedStatementExecutor
ListenableFuture的创建 对应JDK中的 ExecutorService.submit(Callable) 提交多线程异步运算的方式,Guava 提供了ListeningExecutorService...将 ExecutorService 转为 ListeningExecutorService,可以使用MoreExecutors.listeningDecorator(ExecutorService)进行装饰...ListeningExecutorService service = MoreExecutors.listeningDecorator(Executors.newFixedThreadPool(10))
import com.google.common.util.concurrent.ListeningExecutorService; import com.google.common.util.concurrent.MoreExecutors...java.util.concurrent.Executors;public class Test { public static void main(String[] args) { ListeningExecutorService
首先需要定义ListenableFuture的实例: ListeningExecutorService executorService = MoreExecutors.listeningDecorator...return 1; } }); 首先,通过MoreExecutors类的静态方法listeningDecorator方法初始化一个ListeningExecutorService
JDKThreadPoolExecutorTest { public static void main(String[] args) throws Exception { ListeningExecutorService...; Thread.currentThread().join(); } } 首先创建线程池的方式变了,需要用 Guava 里面的 MoreExecutors 方法装饰一下: ListeningExecutorService...JDKThreadPoolExecutorTest { public static void main(String[] args) throws Exception { ListeningExecutorService
User> list = this.userDao.queryAll(); for (User u : list) {//多线程并发查询 ListenableFuture future = listeningExecutorService.submit
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