rip*_*234 74 java concurrency multithreading completion-service
我刚刚在这篇博客文章中找到了CompletionService .但是,这并没有真正展示CompletionService相对于标准ExecutorService的优势.可以用任何一个编写相同的代码.那么,什么时候CompletionService有用呢?
你能给一个简短的代码样本,使它清晰吗?例如,此代码示例仅显示不需要CompletionService的位置(=等效于ExecutorService)
ExecutorService taskExecutor = Executors.newCachedThreadPool();
// CompletionService<Long> taskCompletionService =
// new ExecutorCompletionService<Long>(taskExecutor);
Callable<Long> callable = new Callable<Long>() {
@Override
public Long call() throws Exception {
return 1L;
}
};
Future<Long> future = // taskCompletionService.submit(callable);
taskExecutor.submit(callable);
while (!future.isDone()) {
// Do some work...
System.out.println("Working on something...");
}
try {
System.out.println(future.get());
} catch (InterruptedException e) {
e.printStackTrace();
} catch (ExecutionException e) {
e.printStackTrace();
}
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Bha*_*kar 96
使用ExecutorService,一旦提交了要运行的任务,就需要手动编写代码以有效地获取已完成任务的结果.
有了CompletionService,这几乎是自动化的.由于您只提交了一项任务,因此您提供的代码中的差异不是很明显.但是,假设您有一个要提交的任务列表.在下面的示例中,将多个任务提交给CompletionService.然后,它不是试图找出已完成的任务(以获得结果),而是要求CompletionService实例在结果可用时返回结果.
public class CompletionServiceTest {
class CalcResult {
long result ;
CalcResult(long l) {
result = l;
}
}
class CallableTask implements Callable<CalcResult> {
String taskName ;
long input1 ;
int input2 ;
CallableTask(String name , long v1 , int v2 ) {
taskName = name;
input1 = v1;
input2 = v2 ;
}
public CalcResult call() throws Exception {
System.out.println(" Task " + taskName + " Started -----");
for(int i=0;i<input2 ;i++) {
try {
Thread.sleep(200);
} catch (InterruptedException e) {
System.out.println(" Task " + taskName + " Interrupted !! ");
e.printStackTrace();
}
input1 += i;
}
System.out.println(" Task " + taskName + " Completed @@@@@@");
return new CalcResult(input1) ;
}
}
public void test(){
ExecutorService taskExecutor = Executors.newFixedThreadPool(3);
CompletionService<CalcResult> taskCompletionService = new ExecutorCompletionService<CalcResult>(taskExecutor);
int submittedTasks = 5;
for (int i=0;i< submittedTasks;i++) {
taskCompletionService.submit(new CallableTask (
String.valueOf(i),
(i * 10),
((i * 10) + 10 )
));
System.out.println("Task " + String.valueOf(i) + "subitted");
}
for (int tasksHandled=0;tasksHandled<submittedTasks;tasksHandled++) {
try {
System.out.println("trying to take from Completion service");
Future<CalcResult> result = taskCompletionService.take();
System.out.println("result for a task availble in queue.Trying to get()");
// above call blocks till atleast one task is completed and results availble for it
// but we dont have to worry which one
// process the result here by doing result.get()
CalcResult l = result.get();
System.out.println("Task " + String.valueOf(tasksHandled) + "Completed - results obtained : " + String.valueOf(l.result));
} catch (InterruptedException e) {
// Something went wrong with a task submitted
System.out.println("Error Interrupted exception");
e.printStackTrace();
} catch (ExecutionException e) {
// Something went wrong with the result
e.printStackTrace();
System.out.println("Error get() threw exception");
}
}
}
}
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Tim*_*der 10
我认为javadoc最能回答的问题是什么时候这种CompletionService方式有用ExecutorService.
一种服务,它将新异步任务的生成与已完成任务的结果消耗分离.
基本上,这个接口允许程序让生产者创建和提交任务(甚至检查这些提交的结果),而不知道这些任务结果的任何其他消费者.同时,消费者在不知道提交任务的生产者的情况下了解CompletionService可能poll或take结果.
为了记录,我可能是错的,因为它已经很晚了,但我相当确定该博客文章中的示例代码会导致内存泄漏.如果没有活跃的消费者从ExecutorCompletionService内部队列中取出结果,我不确定博主是如何预期排队的.
Jed*_*ith 10
基本上,CompletionService如果要并行执行多个任务,然后按完成顺序使用它们,则使用a .所以,如果我执行5个工作,那CompletionService将会给我第一个完成的工作.Executor除了提交一个任务之外,只有一个任务的例子不会带来额外的价值Callable.
首先,如果我们不想浪费处理器时间,我们就不会使用
while (!future.isDone()) {
// Do some work...
}
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我们必须使用
service.shutdown();
service.awaitTermination(14, TimeUnit.DAYS);
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这段代码的坏处是它会关闭ExecutorService。如果我们想继续使用它(即我们有一些递归任务创建),我们有两种选择:invokeAll 或ExecutorService.
invokeAll将等到所有任务完成。ExecutorService使我们能够一一获取或投票结果。
最后,递归示例:
ExecutorService executorService = Executors.newFixedThreadPool(THREAD_NUMBER);
ExecutorCompletionService<String> completionService = new ExecutorCompletionService<String>(executorService);
while (Tasks.size() > 0) {
for (final Task task : Tasks) {
completionService.submit(new Callable<String>() {
@Override
public String call() throws Exception {
return DoTask(task);
}
});
}
try {
int taskNum = Tasks.size();
Tasks.clear();
for (int i = 0; i < taskNum; ++i) {
Result result = completionService.take().get();
if (result != null)
Tasks.add(result.toTask());
}
} catch (InterruptedException e) {
// error :(
} catch (ExecutionException e) {
// error :(
}
}
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