threadpool

问题 Given the following simplified program: #[macro_use] extern crate log; extern crate ansi_term; extern crate fern; extern crate time; extern crate threadpool; extern crate id3; mod logging; use std::process::{exit, }; use ansi_term::Colour::{Yellow, Green}; use threadpool::ThreadPool; use std::sync::mpsc::channel; use std::path::{Path}; use id3::Tag; fn main() { logging::setup_logging(); let n_jobs = 2; let files = vec!( "/tmp/The Dynamics - Version Excursions/01-13- Move on Up.mp3", "/tmp/The

问题 I'm testing Completable Future. As described here I thought thread would be reused from common pool but this snippet shows strange behaviour for (int i = 0; i < 10000; i++) { final int counter = i; CompletableFuture.supplyAsync(() -> { System.out.println("Looking up " + counter + " on thread " + Thread.currentThread().getName()); return null; }); } I have that kind of output: Looking up 0 on thread Thread-2 Looking up 1 on thread Thread-3 Looking up 2 on thread Thread-4 ... Looking up 10000

问题 I'm writing a message processing application (email) that I want to have an outgoing queue. The way I've designed this is having a singleton queue class, ThreadedQueueSender, backed by an Executor Service and a BlockingQueue. Additionally, a thread pool of javax.mail.Transport objects is used to obtain and release connections to the outgoing SMTP server. This class exposes a method, add(MimeMessage) , that adds messages to the work queue ( BlockingQueue ). At instantiation of the class, the

问题 I want to manage a list of Futures objects returned by my TaskExecutor. I've something like this List<Future<String>> list void process(ProcessThis processThis) { for ( ...) { Future<String> future = taskExecutor.submit(processThis); list.add(future) } } void removeFutures() { for(Future future : list) { assert future.cancel(true); } ProcessThis is a task that implements Callable< String> and checks for Thread.interrupted() status public String call() { while (true) { if (Thread.interrupted()

问题 Are there any benefits to limiting the number of concurrent threads doing a given task to equal the number of processors on the host system? Or better to simply trust libraries such as .NET's ThreadPool to do the right thing ... even if there are 25 different concurrent threads happening at any one given moment? 回答1: Most threads are not CPU bound, they end up waiting on IO or other events. If you look at your system now, I imagine you have 100's (if not 1000's) of threads executing with no

问题 I need a thread-pool for working with COM objects inside an ASP.NET project. QueueUserWorkItemSTA(WaitCallback) 回答1: From the CodeProject Article of Smart Thread Pool: Also note that the .NET ThreadPool doesn't support calls to COM with single threaded apartment (STA), since the ThreadPool threads are MTA by design. So I assume if you give the Smart Thread Pool a try, it could fit your requirements. Personally, I use this class successfully since severals years. 来源： https://stackoverflow.com

问题 This question already has answers here : Does Python support multithreading? Can it speed up execution time? (3 answers) Closed 3 years ago . I'm trying to speed up my code using ThreadPool. The input is a dictionary with about 80000 elements each one of which is a list of 25 elements. I have to produce an output list for each element in the dictionary, by processing and combining the elements in each list. All the lists can be analyzed independently, so this setting should be easily

问题 We are having trouble controlling a long running process that uses WCF to send start/stop commands. The problem seems to be that WCF does not respond to the requests when the CPU load is high. Unfortunately, high CPU on as many cores as possible is necessary for the application in question as it needs to perform a large number of numeric calculations. Could the problem be related to the use of the thread pool to dispatch requests in WCF? This (somewhat dated) link suggests that it could: "we

问题 I understand that thread pool priority should/can not be changed by the running process, but is the priority of particular task running on the thread pool somewhat priced-in with the calling process priority? in other words, do all tasks in thread pool run in the same priority regardless the calling process priority? thank you update 1: i should have been more specific, i refer to thread inside Parallel.ForEach 回答1: I understand that thread pool priority should/can not be changed by the

问题 Let's say I have the following simple class: import cherrypy import os class test: test_member = 0; def __init__(self): return def index(self): self.test_member = self.test_member + 1 return str(self.test_member) index.exposed = True conf = os.path.join(os.path.dirname(__file__), 'config.ini') if __name__ == '__main__': # CherryPy always starts with app.root when trying to map request URIs # to objects, so we need to mount a request handler root. A request # to '/' will be mapped to