threadpool

问题 I have one thread in the thread-pool servicing blocking request. def sync = Action { import Contexts.blockingPool Future { Thread.sleep(100) } Ok("Done") } In Contexts.blockingPool is configured as: custom-pool { fork-join-executor { parallelism-min = 1 parallelism-max = 1 } } In theory, if above request receives 100 simultaneous requests, the expected behaviour should be: 1 request should sleep(100) and rest of 99 requests should be rejected (or queued until timeout?). However I observed

问题 I've read at many places that .net Threadpool is meant for short time span tasks (may be not more than 3secs). In all these mentioning I've not found a concrete reason why it should be not be used. Even some people said that it leads to nasty results if we use for long time tasks and also leads to deadlocks. Can somebody explain it in plain english with technical reason why we should not use thread pool for long time span tasks? To be specific, I would even like to give a scenario and want to

问题 I'm trying to debug a custom thread pool implementation that has rarely deadlocks. So I cannot use a debugger like gdb because I have click like 100 times "launch" debugger before having a deadlock. Currently, I'm running the threadpool test in an infinite loop in a shell script, but that means I cannot see variables and so on. I'm trying to std::cout data, but that slow down the thread and reduce the risk of deadlocks meaning that I can wait like 1hour with my infinite before getting

问题 I have a program that uses threads to perform time-consuming processes sequentially. I want to be able to monitor the progress of each thread similar to the way that the BackgroundWorker.ReportProgress / ProgressChanged model does. I can't use ThreadPool or BackgroundWorker due to other constraints I'm under. What is the best way to allow/expose this functionality. Overload the Thread class and add a property/event? Another more-elegant solution? 回答1: Overload the Thread class and add a

问题 I use restlet in camel route in from("restlet:http/myLink") clause. When user's requests more then ten per second, I begin recieve errors processing request like a "org.restlet.engine.connector.Controller run INFO: Connector overload detected. Stop accepting new work" I think, that error is caused by number of threads,request query's size or number,or something like that. I try set to maxThreads param different values in spring config <bean id="restlet" class="org.apache.camel.component

问题 I have a following workflow in my application: there can be X requests from users (usually 5-10 simultaneously) who want to search for something in the system (each request is handled in a separate thread). Each search can be handled in parallel (which I am currently implementing). Threads/CPU usage isn't really the problem here as those tasks aren't CPU intensive. The database is the bottleneck. Currently I set up a separate DB connection pool only for the search mechanism - with max pool

问题 Our service run continuously 24/7 in a company, which retreives messages from MSMQ and after processing write result in DB. What we observe that our criteria of working with MSMQ is so old, and doesn't process many messages at a time, we need to process at least 200 or 250 transaction per second in a process, but what we uses only process 10 to 14 transaction in a second. implementation Of our Code is while (true)//(count < 2) { response = ""; try { rcvMsg = MQ.Receive(new TimeSpan(0, 0,

问题 I am learning Executor service and trying to create producer-consumer scenario using Executor Service. I have defined producer and consumer with run method that keeps running till flag "isStopped" is not set false. My Producer class has run method as follows @Override public void run() { while(!isStopped){ MyTask task = new MyTask(); System.out.println("I am thread "+this+" entering task "+ task); try { myBlockingQueue.addTask(task); } catch (InterruptedException e) { // TODO Auto-generated

问题 My problem is the following: I have a multiprocessing.pool.ThreadPool object with worker_count workers and a main pqueue from which I feed tasks to the pool. The flow is as follows: There is a main loop that gets an item of level level from pqueue and submits it tot the pool using apply_async . When the item is processed, it generates items of level + 1 . The problem is that the pool accepts all tasks and processes them in the order they were submitted. More precisely, what is happening is

问题 I am using Async await with Task.Factory method. public async Task<JobDto> ProcessJob(JobDto jobTask) { try { var T = Task.Factory.StartNew(() => { JobWorker jobWorker = new JobWorker(); jobWorker.Execute(jobTask); }); await T; } This method I am calling inside a loop like this for(int i=0; i < jobList.Count(); i++) { tasks[i] = ProcessJob(jobList[i]); } What I notice is that new tasks opens up inside Process explorer and they also start working (based on log file). however out of 10