worker

I'd like to know how to communicate between processes on a Heroku worker dyno. We want a Resque worker to read off a queue and send the data to another process running on the same dyno. The "other process" is an off-the-shelf piece of software that usually uses TCP sockets (port xyz) to listen for commands. It is set up to run as a background process before the Resque worker starts. However, when we try to connect locally to that TCP socket, we get nowhere. Our Rake task for setting up the queue does this: task "resque:setup" do # First launch our listener process in the background `./some

Is there some way to configure multiple worker and/or web processes to run in the single Heroku app container? Or does this have to be broken up into multiple Heroku apps? For example: worker: node capture.js worker: node process.js worker: node purge.js web: node api.js web: node web.js All processes must have unique names. Additionally, the names web and worker are insignificant and carry no special meaning. The only process that carries a significant name is the web process, as stated in the Heroku docs: The web process type is special as it’s the only process type that will receive HTTP

Should we start async task from within onHandleIntent() method of IntentService ? I read that onHandleIntent() runs in worker thread so will it be safe to start asyncTask from there?? Reinier IntentService s already are background-processes; there's no need to start an AsyncTask from there. Also, starting an AsyncTask is 'safe' from anywhere; it's a helper class that helps you multithread. Just make sure you don't manipulate View s in the doInBackground() -method of your AsyncTask if you use it in your Activity. If you need to spawn multiple threads inside your IntentService, just use: new

I am using Apache Spark to run machine learning algorithms and other big data tasks. Previously, I was using spark cluster standalone mode running spark master and worker on the same machine. Now, I added multiple worker machines and due to a tight firewall, I have to edit the random port of worker. Can anyone help how to change random spark ports and tell me exactly what configuration file needs to be edited? I read the spark documentation and it says spark-defaults.conf should be configured but I don't know how I can configure this file for particularly changing random ports of spark. check

Is there a JavaFX equivalent to the Java SwingWorker class? I am aware of the JavaFX Task but with that you can only publish String messages or a progress. I just want to call a method in the GUI thread like I would have done with the SwingWorker (by publishing messages of an arbitrary type). Heres is an example of what I mean: class PrimeNumbersTask extends SwingWorker<List<Integer>, Integer> { PrimeNumbersTask(JTextArea textArea, int numbersToFind) { //initialize } @Override public List<Integer> doInBackground() { while (! enough && ! isCancelled()) { number = nextPrimeNumber(); publish

mp.set_start_method('spawn') total_count = Counter(0) pool = mp.Pool(initializer=init, initargs=(total_count,), processes=num_proc) pool.map(part_crack_helper, product(seed_str, repeat=4)) pool.close() pool.join() So I have a pool of worker process that does some work. It just needs to find one solution. Therefore, when one of the worker processes finds the solution, I want to stop everything. One way I thought of was just calling sys.exit(). However, that doesn't seem like it's working properly since other processes are running. One other way was to check for the return value of each process