threadpool

问题 Our analytic server is written in c++. It basically queries underlying storage engine and returns a fairly big structured data via thrift. A typical requests will take about 0.05 to 0.6 seconds to finish depends on the request size. I noticed that there are a few options in terms of which Thrift server we can use in the c++ code, specifically TNonblockingServer, TThreadedServer, and TThreadPoolServer. It seems like TNonblockingServer is the way to go since it can support much more concurrent

问题 Is there a magic number or formula for setting the values of SetMaxThreads and SetMinThreads for ThreadPool? I have thousands of long-running methods that need execution but just can't find the perfect match for setting these values. Any advise would be greatly appreciated. 回答1: The default minimum number of threads is the number of cores your machine has. That's a good number, it doesn't generally make sense to run more threads than you have cores. The default maximum number of threads is

问题 private static void Main(string[] args) { for (int i = 0; i < 1000; i++) { Task.Factory.StartNew(() => { Thread.Sleep(1000); Console.WriteLine("hej"); Thread.Sleep(10000); }); } Console.ReadLine(); } Why this code won't print 1000 times "hej" after one second? Why Thread.Sleep(10000) has an impact on code behavior? 回答1: Factory.StartNew effectively delegates the work to ThreadPool . Threadpool will create number of threads immediately to respond the request as long as threads count is less

问题 I have a web application running in tomcat where I'm using a ThreadPool (Java 5 ExecutorService) to run IO intensive operations in parallel to improve performance. I would like to have some of the beans used within each pooled thread be in the request scope, but the Threads in the ThreadPool do not have access to the spring context and get a proxy failure. Any ideas on how to make the spring context available to the threads in the ThreadPool to resolve the proxy failures? I'm guessing there

问题 Whats the difference between ThreadPool and Pool in multiprocessing module. When I try my code out, this is the main difference I see: from multiprocessing import Pool import os, time print("hi outside of main()") def hello(x): print("inside hello()") print("Proccess id: ", os.getpid()) time.sleep(3) return x*x if __name__ == "__main__": p = Pool(5) pool_output = p.map(hello, range(3)) print(pool_output) I see the following output: hi outside of main() hi outside of main() hi outside of main(

问题 Is it possible to create a thread pool using boost's thread? i was looking all over boost's libs and I couldn't find a thread pool manager (or something like that)... Is there a way to do it? tnx! 回答1: There is an unofficial (yet) threadpool in boost. But it's not a problem to implement one yourself especially if great genericity is not a primary goal. Idea: your threadpool can be parametrized with TaskType type and the number of workers. The TP must be given the handler function which takes

问题 I am reading an article about HttpContext and CallContext and see thread-agility. What does it mean? 回答1: It means that IIS is free to use more than one thread to handle a single request, although not in parallel. Basically, IIS tries to perform I/O operations asynchronously, thus freeing the calling thread for the duration of the operation. That thread is returned to the pool and can be used to handle other requests in the meantime. When the asynchronous I/O operation completes, control can

问题 How large is Scala's thread pool for futures? My Scala application makes many millions of future {} s and I wonder if there is anything I can do to optimize them by configuring a thread pool. Thank you. 回答1: You can specify your own ExecutionContext that your futures will run in, instead of importing the global implicit ExecutionContext. import java.util.concurrent.Executors import scala.concurrent._ implicit val ec = new ExecutionContext { val threadPool = Executors.newFixedThreadPool(1000)

问题 I am trying to create a limited thread pool class using boost::asio. But I am stuck at one point can some one help me. The only problem is the place where I should decrease counter? code does not work as expected. the problem is I don't know when my thread will finish execution and how I will come to know that it has return to pool #include <boost/asio.hpp> #include <iostream> #include <boost/thread/thread.hpp> #include <boost/bind.hpp> #include <boost/thread/mutex.hpp> #include <stack> using

问题 I have a program that spawns threads (~5-150) which perform a bunch of tasks. Originally, I used a FixedThreadPool because this similar question suggested they were better suited for longer lived tasks and with my very limited knowledge of multithreading, I considered the average life of the threads (several minutes) " long lived ". However, I recently added the capability to spawn additional threads and doing so takes me above the thread limit I set. In this case, would it be better to guess