RQ is a simple, lightweight, Python library for creating background jobs, and processing them.
RQ (Redis Queue) is a simple python library for queueing jobs and processing them in the background with workers. It is backed by redis and it is designed to have a low barrier to entry. It should be integrated in your web stack easily.
Say you have a RQ Queue with lots of jobs, which gets filled from various sources.
Those Jobs would be more efficiently processed in batches, eg pulling and processing 100 Jobs at a time.
How would you achieve this in RQ?
Would you need to write a…
In a Flask app, I have a function that takes a list of lists and adds each as a row to an Excel file. This function works fine on a development server when the request won't time out. Here it is wrapped in a try/except block. This is how I need to…
Modifying an app based on this example, I am having a problem when deploying my updated Heroku app during initialization of the web.1 dyno.
Everything is working fine in my development envr; when I start the 'app' and 'worker' executables directly,…
so I am trying to do some background job to run in my flask app , and in order to run the worker, I needed to use cygwin instead of my windows terminal. My application use MongoDb Atlas for documents storage and it works perfectly fine when I "flask…
I am using RQ to implement a job queue on a cluster, where the jobs are managed and run with Python. The RQ workers are launched via mpirun, followed by a Python program which adds jobs to the queue.
I have noticed that when I only have a single…
I'm using Django-rq which has the functionality of Scheduling the jobs with specified interval.
https://github.com/rq/django-rq#support-for-rq-scheduler
task = scheduler.schedule(
scheduled_time=datetime.utcnow(), # Time for first execution, in…
I'm trying to use Redis & RQ to set the task of sending an email, however, the "RQ Worker" is returning runtime error while using the function to send emails outside q.enqueue works fine.
app/routes.py
routes = Blueprint("routes", __name__)
r =…
I'm trying to get 3 Jobs to run after each other in the sequence:
Job1 -> Job2 -> Job3
These 3 jobs are defined in operations.py:
def Job1(x):
return x
def Job2(x):
return x * x
def Job3(x):
print(x)
I'm calling these jobs in…
I am trying to build a Flask application on Windows where user uploads a big Excel file then it is processed in Python which takes 4-5 minutes. I need to process those tasks in background after user uploads the file.
I RQ, Celery, etc. but those are…
I'd like to use logging.config.dictConfig within my RQ worker. But, I found that after I run dictConfig(), the worker will no longer raise exceptions which won't work in production.
Here's my worker code:
import logging
import logging.config
config…
I want to render output from rq immediately after it gets completed.
Currently, I am using Job.fetch() to fetch tasks. But I have to repeatedly check after a certain interval for that.
I am using flask-socketio to render results.
Is there some way I…
I have a long running function which I want to run on heroku as a background function. I'm using redis and rq to manage this.
My dashboard view function which loads the data into the session object starts with:
@login_required
@main.route('/dash',…
I'm using django-rq in my project.
What I want to achieve:
I have a first view that loads a template where an image is acquired from webcam and saved on my pc. Then, the view calls a second view, where an asynchronous task to process the image is…
I have a server with above configuration and I am processing long tasks but I have to update user about the process state, which I am doing through Firebase. To respond to the client immediately I enqueue the job in redis using python-rq.
I am using…
I currently have a utilities.py file that has this machine learning function
from sklearn.pipeline import Pipeline
from sklearn.feature_extraction.text import CountVectorizer
from sklearn.naive_bayes import MultinomialNB
from sklearn.model_selection…
