queue

I'd like to be able to dispatch a bunch of work via JavaScript to be done in the browser in such a way that the browser stays responsive throughout. The approach I'm trying to take is to chunk up the work, passing each chunk to a function that is then queued with a setTimeout(func, 0) call. I need to know when all the work is done, so I'm storing the returned timer ID in a map (id -> true|false). This mapping is set to false in the next block of code after I have the timer ID, and the queued function sets the mapping to true when it completes... except, of course, the queued function doesn't

I'm new using celery and have a question. I have this simple task: @app.task(name='test_install_queue') def test_install_queue(): return subprocess.call("exit 0",shell=True) and I am calling this task later in a test case like result = tasks.test_default_queue.apply_async(queue="install") The task run successfully in the queue install (because I am seeing it in the celery log, and it completes fine. But I would like to know a programmatically way of finding in which queue was the task test_install_queue run, from the object stored in result . Thank you! EDIT: I've changed the tasks to be like:

I'm trying to import a mailing list from CSV to my DATABASE. I have two models in my Laravel which is responsible for doing this: Target and Mailing (one Target has many Mailing s) I'm using Queue system with Beanstalkd. I'm using: Queue::push('ImportCSV', array( 'file' => $file->getClientOriginalName(), 'target' => $name )); To push my jobs and then I have the ImportCSV job class: class ImportCSV { public function fire($job, $data) { Log::info("Starting to add {$data['target']} to database"); $target = new Target(); $target->name = $data['target']; $target->save(); $reader = new \EasyCSV

Dequeue - Doubly ended queue: en-queue and de-queue possible from both ends. How to define ADT operations for dequeue using 2 stacks. Implementation should also take into consideration the performance. the simplest solution would be to use one stack as the head of the queue, and one as the tail. The enqueue operations would just be a push to the respective stack, and the dequeue operations would just be a pop on the respective stack. However, if the stack you want to dequeue from is empty, you'd have to pop each element from the other stack and push it back to the stack you want to dequeue

All, I have a generic method called TaskSpin , in this method I launch a Task with an ascociated continutation public TaskSpin(Func asyncMethod, object[] methodParameters) { ... asyncTask = Task.Factory.StartNew<bool>(() => asyncMethod(uiScheduler, methodParameters)); asyncTask.ContinueWith(task => { // Finish the processing update UI etc. } ... } The problem is now that I want to run multiple methods using TaskSpin , but I need to restrict the methods to run one-at-a-time. So foreach row in some DataGridView I want to do something like foreach (DataGridViewRow row in this.DataGridViewUrg.Rows

I need a collection that is limited in its size. It has to be similar to a circular buffer. I think that the fastest way to describe it would be by making an example. Suppose I have an instance of this "special" queue, of size 4. This is the queue initially: 6 3 9 2 If I push something into it, it has to add it at the beginning, remove the last element and return its value, so, if I add 3 it would become: 3 6 3 9 and returns 2 I hope I've been clear... A general implementation is sufficient, but a C# implementation would be the best :) public class MyQueue<T> { private Queue<T> queue; public

I've been reading on the Event-Driven Message Programming Model introduced in April 2013, the OnMessageOptions.ExceptionReceived Event , the built-in RetryPolicy (May 2013, RetryPolicy.Default), The Transient Fault Handling Application Block (2011) which is outdated, and more (see bottom). I've been monitoring the exceptions received through the message pump for transient errors and I get daily MessagingCommunicationExceptions . This article (Updated: September 16, 2014), recommend the following : This exception signals a communication error that can manifest itself when a connection from the

The following codes didn't release the memory consumed for 3000 elements even after i pops out all the elements from the qInt queue. What is the reason ? std::queue<int> qInt; //Step01: Check the running memory for (int i=0;i<3000;i++) { qInt.push(i); } //Step02: Check the running memory it should have been increased while(!qInt.empty()) { qInt.pop(); } //Step03: Check the running memory expecting Step01 memory but it is still the same of Step02 By defalut std containers do not deallocate memory once they have reserved it. The std::queue is generally implemented on type of std::dequeue which

I don't have the possibility to encode my request to base64, and according to the documentation I shouldn't have to, but I can't figure it out. If I Base64 encode it's working fine: <QueueMessage> <MessageText>PHNhbXBsZT5zYW1wbGUgbWVzc2FnZTwvc2FtcGxlPg==</MessageText> </QueueMessage> Which adds the decoded message to the queue: <sample>sample message</sample> According to the documentation ( https://msdn.microsoft.com/sv-se/library/azure/dd179346.aspx ) A message must be in a format that can be included in an XML request with UTF-8 encoding. To include markup in the message, the contents of