worker

问题 I'm trying make worker pool with looped queue. Is my code idiomatic for Go? And how can I solve concurrent access to *Item ? Pool processing 1 item at time and *Item don't shared between workers, but sometimes I need change *Item from main thread. Should I place mutex at every *Item and when I should lock/unlock it? Or maybe some other structure is possible? var items = make(map[uint8]*Item) func worker(queue, done chan uint8) { for id := range queue { item := items[id] // get from http

问题 I want to load image from worker, but i get this error : * Security Sandbox Violation * Connection to file:///C|/Users/Mudinho/Documents/projetos/as3/Engine/bin/TileSet/testeTileSet.png halted - not permitted from file:///C|/Users/Mudinho/Documents/projetos/as3/Engine/bin/Engine.swf -- Remote SWFs may not access local files. Worker 2: [Fault] exception, information=SecurityError: Error #2148: SWF file file:///C|/Users/Mudinho/Documents/projetos/as3/Engine/bin/Engine.swf cannot access local

问题 I'm willing to send tasks from a web server (running Django) to a remote machine that is holding a Rabbitmq server and some workers that I implemented with Celery. If I follow the Celery way to go, it seems I have to share the code between both machines, which means replicating the workers logic code in the web app code. So: Is there a best practice to do that? Since code is redundant, I am thinking about using a git submodule (=> replicated in the web app code repo, and in the workers code

问题 In the example provided at http://marcio.io/2015/07/handling-1-million-requests-per-minute-with-golang/ which has been cited in a lot of places. func (d *Dispatcher) dispatch() { for { select { case job := <-JobQueue: // a job request has been received go func(job Job) { // try to obtain a worker job channel that is available. // this will block until a worker is idle jobChannel := <-d.WorkerPool // dispatch the job to the worker job channel jobChannel <- job }(job) } } } Wouldn't the worker

问题 I have a worker thread that may be active for short bursts of time and idle for rest of the time. I'm thinking to put the thread to sleep and then awake it when needed. Any additional recommendations for this I should be aware of? Thanks! this is in C#/.NET4 回答1: Just use an event to pause the worker thread: reset - paused, set - unpaused (working) state. Here is the draft version of code that demonstrates the approach. class Worker { private Thread _thread; // Un-paused by default. private

问题 This question already has answers here : sending blocks of 2D array in C using MPI (2 answers) Closed 3 years ago . So... My question is simple. Let's assume we have a master MPI process with a master_array of 6*6 cells: Master ----------- 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 And that we have 4 worker MPI processes with worker_array of 3*3 cells. Worker 1 | Worker 2 | Worker 3 | Worker 4 | ------- | ------- | ------- | ------- | 1 1 1 | 2 2 2 | 3 3 3 | 4 4 4

问题 Summary: Unable to cache and use the cached audio via a Service Worker. Trying to: cache relatively small audio files (2-3mb) using service worker and cache API. These are loaded/played via a HTML Audio element, which usually sets a 'range' header. Problem: Service worker responds with the whole content, ignoring the range header, and the Audio element ignores the content and does not play. Without service worker: server obeys the range header, sends partial content, Audio element is happy

问题 I am configuring a beanstalk worker environment to deal with periodic tasks When the requested URL is not responding with status 200 Elastic Beanstalk will put the task again in the queue. How can I configure the number or retries? I know the explanation is somewhere hidden behind ErrorVisibilityTimeout , InactivityTimeout , Dead Letter Queues ... but these concepts are still not growing green in my inefficient mind. For example I just want to configure maximum number of retries 0 so there is

问题 I would like to know how collectAsMap works in Spark. More specifically I would like to know where the aggregation of the data of all partitions will take place? The aggregation either takes place in master or in workers. In the first case each worker send its data on master and when the master collects the data from each one worker, then master will aggregate the results. In the second case the workers are responsible to aggregate the results(after they exchange the data among them) and

问题 I'm very new to ActionScript Workers , but I would like to know if this is possible. From what I have read, ActionScript Workers (ASW) are like separate threads that can do more CPU intensive calculations without interrupting the Main thread (which is executing your main SWF file). The only example I really seen kicking around was the one illustrating animation playing at a consistent rate while an ASW took care of loading or calculating some intensive math formulas. Is the Sound API