queue

Push to Laravel queue from outside Laravel (NodeJS)

由 ￡可爱￡侵袭症＋ 提交于 2019-12-06 07:06:55
问题 I have a Laravel 5.3 installation running as a pure API application and need to connect from several different applications. Everything is working fine (after all it's Laravel we're talking about :P), except I can't figure out one thing: I have a MQTT server that is listening for messages from several devices (doesn't matter what). These messages contain information about a Job Class and method that need to be called on the backend. I can't call the API directly, the devices simply don't

ArrayDeque and LinkedBlockingDeque

由 ＊爱你＆永不变心＊ 提交于 2019-12-06 06:42:25
问题 Just wondering why they made a LinkedBlockingDeque while the same non concurrent counterpart is an ArrayDeque which is backed on a resizable array. LinkedBlockingQueue use a set of nodes like a LinkedList (even though not implementing List ). I am aware of the possibility to use an ArrayBlockingQueue but what if one wanted to use an ArrayBlockingDeque ? Why is there not such an option? Thanks in advance. 回答1: This May not be a proper question w.r.t stackoverflow. But i would Like to say

PHP Advance Job Queue

由 早过忘川 提交于 2019-12-06 06:09:25
I am making a script with 2000 jobs in a day using cron (means that is server side and automatically do all jobs.) but the job require to run simultaneously 10 (or specified no. of jobs ) jobs . like if u see IDM(internet download manager ) there is a queue function it run multiple jobs at a time and if any complete it start another . i want something like this .. how can i do this ? Abhinav Singh You can either go ahead and write your own custom job queue handler. Spawn a separate process per job, and keep collecting the response in the parent process. Restart new jobs when previous one's

How can I push tensors to a TensorFlow queue and pull them from another process?

由 落花浮王杯 提交于 2019-12-06 05:35:25
问题 I have a TensorFlow cluster up and running, and I'm trying to enqueue data using one client process and dequeue it from another process. I can't get this to work, what am I doing wrong? Here's my program to push data: # queue_push.py import tensorflow as tf import time with tf.container("qtest"): q = tf.FIFOQueue(capacity=10, dtypes=[tf.float32], shapes=[[]], name="q") v = tf.placeholder(tf.float32, shape=()) enqueue = q.enqueue([v]) with tf.Session("grpc://localhost:2210") as sess: while

How to use priority in celery task.apply_async

由 。_饼干妹妹 提交于 2019-12-06 05:33:13
问题 I have a test queue in celery and I have defined a task for it: @celery_app.task(queue='test', ignore_result=True) def priority_test(priority): print(priority) which just print the argument.I want to set the priority attribute which is defined here for appy_async . So, I wrote a for loop like this: for i in range(100): priority_test.apply_async((i%10,), queue="test", priority=i%10) I excpected to see some result like this: [2017-12-26 17:21:37,309: WARNING/ForkPoolWorker-1] 10 [2017-12-26 17

Swift: Choose queue for Bluetooth Central manager

由 亡梦爱人 提交于 2019-12-06 04:39:08
问题 I'm working on the app that will connect with a smart device via BLE and communicate with it. The question is: In what queue is the best practice to handle bluetooth events? I've read a lot of tutorials and in all of them I found this: centralManager = CBCentralManager(delegate: self, queue: nil) They choose to handle bluetooth events in main queue ( queue: nil ), but I suppose that it's not good practice. Because it could be a lot of queries send to peripheral device from central and a lot

Laravel Daemon Queue Memory Leak

由 ﹥＞﹥吖頭↗ 提交于 2019-12-06 04:30:26
问题 I am using laravel 5.1 and using supervisor to monitor the queue job. Queue Driver is Database. [program:queue] process_name=%(program_name)s_%(process_num)02d command=php /var/www/html/artisan queue:work database --sleep=3 --tries=1 --daemon autostart=true autorestart=true user=root numprocs=1 redirect_stderr=true stdout_logfile=/var/www/html/storage/logs/supervisord.log RAM used by Queue Listener increases after processing each job and it goes up to 150-200 MB. All global variables are

Python - Using threads or a queue to iterate over a for loop that calls a function

由 假装没事ソ 提交于 2019-12-06 04:10:37
I'm fairly new to python and am making a script that allows one to bring point cloud data from other programs into Autodesk Maya. I have my script functioning fine but what i'm trying to do is make it faster. I have a for loop that iterates through a list of numbered files. I.e. datafile001.txt, datafile002.txt and so on. Is what i'm wondering is if there is a way to have it to do more then one at a time, possibly using threads or a queue? Below I have the code i have been working on: def threadedFuntion(args): if len(sourceFiles) > 3: for count, item in enumerate(sourceFiles): t1=Thread

Writing a global animation queue in jquery

由 走远了吗. 提交于 2019-12-06 03:49:49
Adding a sequence of animations to a single dom element using jQuery is extremely easy. jQuery queues everything up nicely for me and I basically don't have to do anything. However making a sequence of animations over a number of elements (eg pictureDiv fades out, then demographicsDiv fades in) is much harder. I've written a plugin type thing to make it easier as below: var something.createAnimationQueue = function () { // jQuery queues up animations on each dom element (/ jquery object) // We want to queue up animations over different dom elements so // use a jquery object on a blank element

How to implement a queue of runnables

由 陌路散爱 提交于 2019-12-06 03:37:27
问题 I am trying to implement a queue of runnables to be executed one after another(meaning the next in the queue will execute after the other has completed) during an asynchronous task. I wrote a Manager to manage these runnables and task that is a runnable itself. I then get the first task in the Asynchronous task and run it in hopes that it will run through the queue, however It just ends up running the first runnable twice. Can anyone help me with the code I have been working with or point me
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