threadpool

I am trying to code a solution in which a single thread produces I/O-intensive tasks that can be performed in parallel. Each task have significant in-memory data. So I want to be able limit the number of tasks that are pending at a moment. If I create ThreadPoolExecutor like this: ThreadPoolExecutor executor = new ThreadPoolExecutor(numWorkerThreads, numWorkerThreads, 0L, TimeUnit.MILLISECONDS, new LinkedBlockingQueue<Runnable>(maxQueue)); Then the executor.submit(callable) throws RejectedExecutionException when the queue fills up and all the threads are already busy. What can I do to make

In one of my projects that's kinda an aggregator, I parse feeds, podcasts and so from the web. If I use sequential approach, given that a large number of resources, it takes quite a time to process all of them (because of network issues and similar stuff); foreach(feed in feeds) { read_from_web(feed) parse(feed) } So I want to implement concurrency and couldn't decide if I should basically use ThreadPools to process with worker threads or just rely on TPL to get it sorted. ThreadPools for sure will handle the job for me with worker threads and I'll get what I expect (and in multi-core CPU

I am reading an article about HttpContext and CallContext and see thread-agility. What does it mean? 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 be returned to a thread other than the one that originally handled the request (since that thread can be

I have looked into several 'too many clients' related topic here but still can't solve my problem, so I have to ask this again, for me specific case. Basically, I set up my local Postgres server and need to do tens of thousands of queries, so I used the Python psycopg2package. Here are my codes: import psycopg2 import pandas as pd import numpy as np from flashtext import KeywordProcessor from psycopg2.pool import ThreadedConnectionPool from concurrent.futures import ThreadPoolExecutor df = pd.DataFrame({'S':['California', 'Ohio', 'Texas'], 'T':['Dispatcher', 'Zookeeper', 'Mechanics']}) # df =

TPL uses Task Schedulers to coordinate tasks. According to official document , default task scheduler uses Thread Pool, but if TaskCreationOptions.LongRunning option is presented then it will create a dedicated thread for that task (A). Question: As of now MSDN documents for Visual Studio 2010 are not ready and current online MSDN is not finalized; does anyone knows if (A) is true or false? Yes, LongRunning forces the creation of a new thread outside the pool. Here's some pseudo-disassembled code from the latest framework version: ... if (task.Options HasFlag LongRunning) then create new

My Multithreading concepts are weak and trying to learn. In java what i know is, we can't call a Thread more then once i.e Thread t = new Thread(//Some Runnable); t.start() t.start() //Illegal and throw Exception at Runtime. As far as I know, it throws exception when you call t.start() again because the associated stack for the Thread is destroyed once it goes out of run() method and you are trying to initialize things again. In that case, what I know about Threadpool is, it gives Better performance & saves time because there is no need to create new thread. (I read in http://www.javatpoint