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Python rq job meta To the best of my knowledge I'm trying to figure out rq queuing with redis. MyWorker')--job-class or -j: RQ Job class to use. 4. CanceledJobRegistry Holds canceled jobs. But functions (and classes) are serialised as importable names, The solution was indeed to use 'pyrate_limiter. rq:job:55528e58-9cac-4e05-b444-8eded32e76a1. Example: rq worker --worker-class 'foo. origin, time. RQ: 0. Asking for help, clarification, or responding to other answers. I had some experience with these job queues, but I want to ask you guys to share you experience of using this tools. I'm enqueueing several jobs to a rq. New in version 1. In this phase an See more I'm trying to test a queued redis job but the meta data doesn't seem to be passing between the task and the originator. queue = rq. The worker process in-turn becomes a zombie (it sounds like a scary movie). In another words, the queue should just be piling up. zscore(scheduler. Class)-q or --queue-class: specify custom queue class for rq to use (python module. 4 Featured on Meta The Winter 2024 Community Asks Sprint has been moved to to March 2025 (and Stack Overflow Jobs is expanding to more countries I have a nested job structure in my python redis queue. get_status() will return queued. . But, I found that after I run dictConfig(), the worker will no longer raise exceptions which won't work in production. I changed from full path to '. 7 and rq==1. In all these nice examples about deploying django I didn't found much about deploying django-rq. worker import sys import types class The integration will automatically report errors from all RQ jobs. _scheduled_job_registries: timestamp = current_timestamp() # TODO: try to use Lua script to make get_jobs_to_schedule() # and remove_jobs() atomic job_ids = registry. I RQ, Celery, etc. Queue'> When you run t. Linked. RQ will store up to 10 latest execution results. That leaves us with the Rq-scheduler checks the current job's execution date and calculates when the next job will be executed at runtime. enqueue( populate_trends, self, ) and have tried I am having issues with an rq worker. In my python code, my long-running job is called via. """ self. I'm using python-rq to enqueue background tasks and then attempting to check their status in my web app. The job_id's appear to match so I'm a perplexed. python-rq offers a get_current_job function to find 'the current job' python; python-rq; Andrew Mackie. I'm trying to test a queued redis job but the meta data doesn't seem to be passing between the task and the originator. All I found was "create a docker container and use the manage. sleep', despite the fact that I wasn't importing it. Everything is run inside virtualenv I have the following code: from redis import Redis from rq import Queue from rq. cancel() Or if you can determine the hash: from rq import cancel_job cancel_job('2eafc1e6-48c2-464b-a0ff-88fd199d039c') The PWorker extends the execute_job method by adding a timestamp to the job's meta data 'lastpoll'. delay() function, but that's not the same function that it's qualified name says it is. py) processes the queued job. get_scheduler("default") now = datetime. post('/') def my_method(function_args): my_queue. Job A grabs data via web API and stores it. Thanks @gabriels1234! RQ 1. Below is an example using a StartedJobRegistry. job import Job @app. In cases where you want to access the job, you are RQ-aware anyway. The solution requires a bit of gymnastics, in that you have to import the current script as if it were an external module. The exc_info contains the following: New in RQ 1. MyWorker' Argument list includes--worker-class or -w: RQ Worker class to use (e. 1 worker, 1 user, blocking requests. If it is, it writes the current time to Setting Queue(default_timeout=-1) will do the trick. Requires rq==0. Looking at the django-rq dashboard and the worker console output, it looks like the arguments are being passed correctly. The discussion regarding the "zombie workers" was before the release of v1. Stay up to date with the latest news, packages, and meta information relating to the Python programming language. Otherwise, the initialization happens too late and events might end up not being reported. from redis import Redis from rq_scheduler import Scheduler import schedule_twitter_jobs # we are importing the very module we are executing def schedule_fetch_tweets(args, queue_name): ''' Featured on Meta The December 2024 Community Asks Sprint has been moved to March 2025 (and Voting experiment to encourage people who rarely vote to upvote python-rq Queue. Real-time monitor. ScheduledJobRegistry Holds scheduled jobs. Minor fixes RQ (Redis Queue) is a simple Python library for queueing jobs and processing them in the background with workers. 0 Elegantly wait until a job in redis queue is done, without #create crontab job. dequeue_any( queues, 1, connection=connection, job_class=self. However, tasks will require specialized workers: Worker A can only handle tasks of type a, workers B and C only of type b etc. 2 or higher. I've not used rq before but I see that a job has a . The job’s Redis hash itself will expire after 500 seconds by default after the job is finished. Behind # the curtains, it accesses Redis' `zrem`, which ignores # non-existing members of a set. Featured on Meta The December 2024 Community Asks Sprint has been moved to March 2025 (and Stack Overflow Jobs is expanding to more countries. RQ is a standard Python package, that is installed with pip: (venv) $ pip install rq (venv) $ pip freeze > requirements. Upcoming Experiment for Commenting python rq - how to trigger a job when multiple other jobs are finished? Multi job I'm using supervisord to run multiple rqworkers in parallel. Turns Stack Overflow for Teams Where developers & technologists share private knowledge with coworkers; Advertising & Talent Reach devs & technologists worldwide about your product, service or employer brand; OverflowAI GenAI features for Teams; OverflowAPI Train & fine-tune LLMs; Labs The future of collective knowledge sharing; About the company I am using Python with RQ to manage jobs. func_name, job. Here is a reference to their source code: def create_job(self, func, args=None, kwargs=None, timeout=None, result_ttl=None, ttl=None, failure_ttl=None, description=None, depends_on=None, job_id=None, meta=None, status=JobStatus. 12. result = self. The RQ workers are launched via mpirun, followed by a Python program which adds jobs to the queue. import redis """Initializes a slim rq task queue. The job calls a third-party rest API and stores the response in the database. Similar to you, I originally had code that passed in a SQLAlchemy object into my enqueued function. )On the other hand, writing your own load balancing algorithm is an anti-pattern: that's exactly what python-rq does for you. As I understand from this guide code that you want to execute must be on worker machine when you create a job. It is pip-installed library that functions as a small layer on top of python-rq, which runs on a redis instance. id, *args, **kwargs) in app. python-rq offers a get_current_job function to find 'the current job' for a connection but: I can't get this to work, and If you were to enqueue 2 jobs in a row, the rq worker would take the 1st job off the queue, and then you'd see the 2nd job_id from the subsequent q. Like so: def hello_task(self): t = DeferredJobRegistry Holds deferred jobs (jobs that depend on another job and are waiting for that job to finish). Running rqworker concurrently. Python Redis Queue. result) from where next_step_func(job. py file that stored in Worker. enqueue(render,job_id=jobID) job. I can confirm redis is running with: brew services start redis Here is what I try to run to start A super simple use case - put image download jobs with redis queue # main. You can allow the main thread to run and properly receive the timeout signal by using Thread. setdefault('failures', 1) job. cancel(job) Stack Overflow for Teams Where developers & technologists share private knowledge with coworkers; Advertising & Talent Reach devs & technologists worldwide about your product, service or employer brand; OverflowAI GenAI features for Teams; OverflowAPI Train & fine-tune LLMs; Labs The future of collective knowledge sharing; About the company how to explicitely give priorities to the queues with python-rq. connection) with self. This is the structure of my app: app/ run. I've re-written my User job to use aiohttp instead of python requests, and its significantly faster. fetch_job and Job. py project/ __init__. Note: if you want to get the job_id of jobs that the worker(s) are processing, use StartedJobRegistry (see Get *all* current jobs from python-rq) I have a more pretty solution. Getting Started. Thanks for contributing an answer to Stack Overflow! Please be sure to answer the question. I'm having issues enqueuing jobs with Python-RQ, jobs seems well enqueued but they don't run, crash or whatever they have to do. I suspect its due to python version. results(). RQ requires Redis >= 3. If you update your meta dictionary from within the job, you'll need to perform a job. worker not honoring Django's LOGGING config. get_current_job function in rq To help you get started, we’ve selected a few rq examples, based on popular ways it is used in public projects. I followed this tutorial on running background tasks in Python. RQ uses a Redis database as a queue to process background jobs. foo Use this: job. Words count through Kafka. join with a set amount of time to wait, while waiting for the thread to finish running. but those are not working on Windows and I have never worked on Linux. from redis import Redis from rq import Queue a = Queue('remove_this_queue', connection=Redis()) I want to remove the queue "remove_this_queue". The goal of taking this component in house is to allow RQ to have job scheduling capabilities without: As long as each job you schedule gives some clear, observable indication that it's all done, you can definitely use RQ and wait for such "indications"; then you'll rely on such indications to be able to tell when to access each job's result. Class) The arguments pull default values from environment variables with the same names but with a prefix of RQ_REDIS_. job_ids call. Job'> queue_class : <class 'rq. When the computation of all these 3 jobs is finished I want to trigger a job to send a Celery works in production, as far as I know, for Python/Django, the most mature implementation of synchronous task queue/job queue based on distributed message passing, with Redis as a broker works just fine. from redis import Redis from rq_scheduler import Scheduler from datetime import datetime scheduler = Scheduler(connection=Redis()) # Get a scheduler for the "default" queue # scheduler = django_rq. Keep everything else from the original implementation. You could indeed go to lengths to be safe against non-RQ invocations, but that's up to yourself. Explore over 1 million open source packages. Stack Overflow for Teams Where developers & technologists share private knowledge with coworkers; Advertising & Talent Reach devs & technologists worldwide about your product, service or employer brand; OverflowAI GenAI features for Teams; OverflowAPI Train & fine-tune LLMs; Labs The future of collective knowledge sharing; About the company Featured on Meta Voting experiment to encourage people who rarely vote to upvote. Queue and want to wait (not busy wait) until the queue is empty and all jobs were handled. It should be integrated in your web stack easily. Redis-Queue (RQ) worker running in the background How to create a ``depends_on`` relationship between scheduled and queued jobs in python-rq. Worker. Provide details and share your research! But avoid . py rq_crontab_job #check crontab job and put crontab job to queue. RQ Worker Processing Jobs in a Batch. RQ Python "Working outside of application context" 3. enqueue(update_metadata, campaign=campaign, list=chosen_list, depends_on=previous_job_id, timeout=TWO_HRS, result_ttl=TWO_HRS, ttl=TWO_HRS) # @cbenhagen, your example doesn't work because the meta data is cached on load/creation while the result is pulled directly from redis the first time and cached. is there a way I can access the result value of on However, comment in this python RQ scheduler repo says. 0 as this will open the Redis connection to anyone. time())) try: # I have DISABLED the time limit! rv = job. save_meta() to instruct RQ to write the data to This problem occurs when you run your rqworker from home or a different directory. rqscheduler -i 1 -v However I also noticed another issue with the above Flask code But I'm using django-rq, so I need a Worker process. I have simple test_job function which I want to use in queue. I'm facing a basic issue while setting up python-rq - the rqworker doesn't seem to recognize jobs that are pushed to the queue it's listening on. To execute a job that depends on another job, use the depends_on argument: q = Queue('low', async=False) report_job = q. perform() # Pickle the result in the same try-except block since we need to # use the same exc handling After waiting until the job is finished, I need to pass the job to next_step_func(job. function. Same images work locally. py clock. get_current_job() to get the job to set the meta on, and then attempting to access the meta off of the job object passed into the handler. py rqscheduler --queue crontab_job #run crontab job. Just tested it out with this example. Make sure to set a password if setting the bind value to 0. fetch doesn't restore meta, but only after Job is finished: if it's running (I'm trying to use meta to "report" work progress), meta RQ (Redis Queue) is a simple Python library for queueing jobs and processing them in the background with workers. Which triggers a job to be queued and returns the queued job's job_key; The worker (worker. get_jobs_to_schedule(timestamp) if not job_ids: continue queue = Queue(registry. Maybe some I am new to python Rq and I am trying to understand his usage in FastApi. Stop monkey-patching the scheduler module since rq-scheduler gained the ability to use custom job classes. key_for(job_id= '5a607474-cf1b-4fa5-9adb-f8437555a7e7') b 'rq:job:5a607474-cf1b-4fa5-9adb-f8437555a7e7' To view how many jobs are in our queue, we can either do: Surprisingly, the jobs for which Redis itself crashed were not moved to the Failed Queue, they were just "abandoned", meaning the values remained but RQ didn't care about it the normal way it does with failed jobs. 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. It is backed by Redis and it is designed to have a low barrier to This is a getting started on python-rq tutorial and I will demonstrate how to work with asynchronous tasks using python redis queue (python-rq). result) and return the result of next_step_func(job. I'm trying to enqueue a basic job in redis using django_rq, a python library for queueing jobs and processing them in the background with workers, but the simple call throws a: AttributeError: 'dict' object has no attribute '__module__' from the documentation, python-rq Configuration Can you try by making the below changes: manager. So the function is being executed but for some reason it skips over all of the if/elif blocks. First, run a Redis server. refresh() before being able to access it. py from flask import Flask, request import redis from rq import Q RQ (Redis Queue) makes it easy to add background tasks to your Python applications on Heroku. enqueue('tasks. Then, the view calls a second view, where an asynchronous task to process the image is enqueued using rq. Flask Redis Queue (RQ) worker cannot import module named app. connection. py worker. Thanks @selwin!; Added a new Callback class that allows more flexibility in declaring job callbacks. 7. Contribute to rq/rq development by creating an account on GitHub. Everything is running fine except that I have to manually run python worker. py from __future__ import annotations import asyncio from collections. When I define my job as @job(queue=rqueue, on_success=my_callback_func) it fails with a message saying that it got an unexpected keyword argument on_success. pid : 9 job_class : <class 'rq. How can I increase this timeout value? I've tried adding --timeout 360 to the rqworker command but this isn't recognized. meta. tasks+'name' you describe path for . The contents of schedule_twitter_jobs. replace(hour=8, I put a return 'JOB FINISHED' at the end of the function and I see that the jobs are finishing with result 'JOB FINISHED'. enqueue(queue_name, function, *function_args) instead of: 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. This is a getting started on python-rq tutorial and I will demonstrate how to work with asynchronous tasks using python redis queue (python-rq). Any Python function can be invoked asynchronously, by simply pushing a reference to the function and its arguments onto a queue. config. Any ideas on how When enqueueing a job, the pickling that gets done is attempted on your input to your blocking function. Currently, I run all of the jobs on the default queue that uses database 0 on my local redis instance. If a poll job comes in, having a lastpoll timestamp, the worker checks if the time period since lastpoll is greater than 65 seconds. One possible cause would be a job taking longer than allowed and it's horse is killed. If Python RQ is not really good at this, what else tool in Python can I use to achieve the same purpose: round-robin parallelization; (cache_key) job = django_rq. On Heroku we can use Procfile to run processes when app starts but now I am on a cloud based Simple job queues for Python. Job A runs. py would be:. g rq worker --worker-class 'foo. Thanks @ronlut!; Fixed a regression where jobs with unserializable return value crashes RQ. Upon completion of A, job B starts. JobTimeoutException: Task exceeded maximum timeout value (100 seconds) File cancel_job removes the job from the queue. 3. First, I had been using job. So in this point I have two candidates: Celery and RQ. py controllers/ What is Python RQ? Job Registries; Reschedule Failed Jobs Implementation; If a job is enqueued with metadata information, we can access it by calling the get_meta method of the Job. py " like this: CMD python manage. py. Then you can use the Job class's . name, connection=self. BasicConfig() seems not to follow docs RQ (Redis Queue) is a simple Python library for queueing jobs and processing them in the background with workers. It might be easier to store that hash in your session. By default, RQ RQ lets you easily retry jobs by returning a special Retry result from your job function. a task queue). Occasionally a job will fail for a variety of reasons, usually either insufficient memory or timeout. There are no issues with timeout argument in enqueue_call. Simple job queues for Python. Further reading shows that all metadata is stored there, so the answer is only keys which start with rq:job, so you (or I?) should be safe. queue. now() start = now. from time import sleep def test(a, b, c): sleep(a) print str(b+c) Find the best open-source package for your project with Snyk Open Source Advisor. Load 7 more related questions Show fewer related questions Sorted by: Reset to default Know someone who can answer? Featured on Meta Upcoming initiatives on Stack Overflow and across the Stack Exchange I don't understand python rq that much and I just started learning about it. I was sending each User job to Python RQ and have 10 workers going through the Users sent down the queue. When I did that and made the mock return None, I discovered that sleep() was being called tens of thousands of times because it's in a while loop. Job B checks each record stored by job A and adds some additional response data. command import send_kill_horse_command send_kill_horse_command(connection, worker_name) Thanks for contributing an answer to Stack Overflow! Please be sure to answer the question. 3 answers. 0. Maybe the closest to this behavior is the "result_ttl" parameter, you can set a time to it and define how much time the job will remain listed after completion. In the command prompt navigate to the directory where your python file is present and then run rqworker command. Queued. Featured on Meta Voting experiment to encourage people who rarely vote to upvote. However the job is sometimes getting stuck importing a module. I am trying to accomplish a task by using rq and redis. python-rq Queue. 19232 idle: high, default, low Bricktop. django_rq. Example from this guide: rq_job = current_app. Calling job. @selwin The examples seem a little contrived. logging. Python rq. mock_measurement') and I would like to be able to do this from the console to signify to the worker it can stop running: job. 14. If result is not None we've found a job to do and need to break out of the loop. I have the following code : from rq import Queue from rq. How to read the traceback on failed queue (rq) from code? Related. Reading the . py rqworker crontab_job I think -j or --job-class: specify custom job class for rq to use (python module. In the example you quote, it's apparently assumed that count_words_at_url gives no clear indication about when it's finished (you could "poll" by Currently I'm working on python project that requires implement some background jobs (mostly for email sending and heavily database updates). You can tweak this with the -i flag to set the interval in seconds, and also add the -v flag for more verbose output:. h Commented Nov 15, 2016 at 1:04 But I need to provide success and callback handler for my job. You can use the status property to determine if the job is finished yet before doing a RQ (Redis Queue) is a simple Python library for queueing jobs and processing them in the background with workers. Added WorkerPool (beta) that manages multiple workers in a single CLI. It turned out to be easy enough. Queue('test-app', connection=Redis('localhost', 6379)) job = queue. Job execution code is simply this: from redis import Redis from rq import Queue q = Queue('calculate', connection=Redis()) job = q. If a job is executed multiple times, you can access its execution history by calling job. I keep repeating scheduling of jobs with NO rq worker doing anything (in fact, the process is completely off). 2. I use Redis for task broker. scheduled_jobs_key, job): scheduler. Finally, after a 20-second delay, a third view is called. Like in the example of the documentation (https://python-rq. Jobs are added right before they are executed and removed right after completion (success or I'm using python-rq to manage Redis-based jobs and I want to determine which jobs are currently being processed by my workers. You are correct regarding the working directory of the rq worker. key property. manual set job id and output with job. You may want to git a try to RQ. You can use an existing one. I created a worker, server and a job, the worker is running and listening to queue, the server is dispatching a job to a queue, the job is dispatched and I print the job ID, in console, I can see the worker logs sth that receive a I'm using django-rq in my project. When a worker picks up a job from queue, the job status will be set to started. This is done by editing the bind information as explained in this post. Modified 11 years, 2 Please use the meta dict to store all custom variables. I would like to have these jobs retried but with more resources dedicated to the ECS task. 1. 0 is RQScheduler, a built-in component that allows you to schedule jobs for future execution. So instead of this: job. I'd like to use logging. enqueue(generate_report) q. If I enqueue the job like below it works smoothly: rqueue. """ From the console, I can start a job as such. job. meta['should_stop'] = True job. py rqworker crontab_job I think the first answer is greate,but in multi-Progress enviroment may have some probelm,you should only run once to create crontab job ! I add scheduled jobs ( to be executed within seconds of the scheduling). – o. python manage. enqueue(calculateJob, someArgs) And calculateJob is defined as such: # turn into a list, just in case jobs = list (jobs) # cancel enqueued or scheduled jobs for job in jobs: # Try remove (cancel) a scheduled job in RQ-Scheduler. First the rncopy job is executed. Installation for registry in self. 10. 18349 idle: default 3 workers, 3 queues Querying by queue names I am using Django RQ scheduler. This allows you to set the log_job_description flag of the Worker object. Job executions results are stored in a Result object. registry import FinishedJobRegistry from videogen import videogen import time redis_conn = You can setup your own worker script (described in the documentation) instead of running rq worker. 15 RQ Worker Processing Jobs in a Batch. py rqworker crontab_job I think the first answer is greate,but in multi-Progress enviroment may have some probelm,you should only run once to create crontab job ! I am trying to make a queue of tasks using redis rq. from rq import Retry def return_retry ( max = 1 , interval = 60 ): return Retry ( max = max , interval = Each queue maintains a set of Job Registries: StartedJobRegistry Holds currently executing jobs. """ listen . It is backed by Redis and it is designed to have a low RQ is a Python job queueing package designed to work out of the box, using a Redis database as a message broker (the bit that allows the app and workers to exchange Searching for an alternative for Celery, I stumbled across Redis Queue (RQ): A simple pythonic library for queueing and processing jobs, backed by Redis. Upon completion of job B, user gets a happy e-mail saying their report's ready. import configparser import rq. job_ids Always Empty. meta() is loaded using the wrong serializer. Meta Stack Overflow python rq - how to trigger a job when multiple other jobs are finished? Multi job dependency work arround? 3 Python Redis Queue. txt Each time the progress is updated I call job. all(queue=queue) Before starting a task there is a single worker with state idle that looks like this:. Job A completes. meta['foo'] SyntaxWarning) Basically, it is pretty annoying because it interferes with normal debugging activities. Generally, make sure that the call to init is loaded on worker startup, and not only in the module where your jobs are defined. py from redis import Redis from rq import Queue from tasks import download_asset queue = Queue(connection=Redis()) if __n I am looking for a python library / framework that manages task distribution (e. So. I currently have multiple python-rq workers executing jobs from a queue in parallel. Thanks @ccrvlh!; Added --max-idle-time option to RQ's from rq import Worker, Connection, Queue from redis import Redis from app. If you have questions or are new to Python use r/learnpython RQ-Scheduler is another simpler alternative (rq/rq-scheduler: A lightweight library that adds job scheduling #create crontab job. latest_result() will return the latest Result object, which has the following attributes: While reading through the rq docs, I notice that there are some arguments that you can pass to rq worker when starting the worker. When queue. pipeline() as pipeline: # This should be done Python functions may have return values, so jobs can have them, too. refresh() and return the job to you. meta['failures'] += 1 if job. Each job also utilizes the python multiprocessing module. This component is developed based on prior experience of developing the external rq-scheduler library. py to start worker process. scheduled_tasks. How to use the rq. g. config import Config conn = Redis() max_retries = 3 def retry_handler(job, exc_type, exc_value, traceback): # Returning True moves the job to the failed queue (or continue to # the next handler) job. The process I'm doing is the following: Run redis server on localhost: There can be different reasons for them to show up when rq info is queried. Will/should only be called inside the work horse's process. enqueue('app. It is backed by Redis and it is designed to have a low barrier to entry. meta['output'] by job id during subprocess running By default, RQ uses the local redis server, and pushes to db = 0 a hash table on key ‘rq:job: Spark streaming & Kafka in python: A test on local machine. This way the initial job, which ends up in the It appears from the documentation from the section "Custom worker classes" that the way to do this is to write a custom worker class. 2. All jobs are stored in Redis under the rq:job: prefix, for example. Configuration. Once this is finished the 3 dependant registration jobs follow. Delete a Queue from Python-RQ / Redis. The life-cycle of a worker consists of a few phases: 1. # scheduler. Here is a pattern that I've been using which loads a section from a ConfigParser file into a virtual python module named config:. 0. enqueue_at(datetime(2020, 1, 1), func) # Date time should be in UTC Featured on Meta Preventing unauthorized automated access to the network Can a Python RQ job reschedule itself and keep depending jobs around? 0. Maybe like this (untested): from rq. Obtaining exception message from failed rq job. enqueue(add, on_success=my_callback_func) @snakecharmerb. I linked the two jobs together using the job metadata. from rq import Queue, Worker from redis import Redis redis_conn = Redis(host=REDIS_HOST, health_check_interval=30) queues = [ Queue(queue_name, connection=redis_conn, result_ttl=0) for queue_name in ["Low", "Fast"] ] worker = Worker(queues, connection=redis, exception_handlers=[retry_handler]) def A job is a Python object, representing a function that is invoked asynchronously in a worker (background) process. Why it would be better to use a Rq job instead a normal api call? In other words, why it would be better to do: @app. I want it to work like this: Job A starts. It can be integrated in your web stack easily. 0 Scheduling/Queueing a job within another job with redis queue. To setup RQ and its dependencies, install it using pip: apiVersion: batch/v1 kind: Job metadata: name: myjob spec: parallelism: 4 template: metadata: name: myjob spec: containers: - name: c image: repo/image:tag My problem now is, that the job cannot be restarted. Maybe Just adding that both using Queue. 12 votes. bar. python-rq offers a get_current_job function to find 'the current job' for a connection but: I can't get this to work, and Monitoring is where RQ shines. 19233 idle: low Bricktop. If you want to execute a long running job, consider using RQ’s job dependency feature instead Stack Overflow for Teams Where developers & technologists share private knowledge with coworkers; Advertising & Talent Reach devs & technologists worldwide about your product, service or employer brand; OverflowAI GenAI features for Teams; OverflowAPI Train & fine-tune LLMs; Labs The future of collective knowledge sharing; About the company I am using RQ to implement a job queue on a cluster, where the jobs are managed and run with Python. dictConfig within my RQ worker. There are two steps: 1) Configure Redis on the master machine so that it is open to external communications by the remote "agent" server. I've tried to get it down to a very simple test case. result() at that point would give you the job's current status. Stack Overflow for Teams Where developers & technologists share private knowledge with coworkers; Advertising & Talent Reach devs & technologists worldwide about your product, service or employer brand; OverflowAI GenAI features for Teams; OverflowAPI Train & fine-tune LLMs; Labs The future of collective knowledge sharing; About the company Using RQ. Stack Overflow for Teams Where developers & technologists share private knowledge with coworkers; Advertising & Talent Reach devs & technologists worldwide about your product, service or employer brand; OverflowAI GenAI features for Teams; OverflowAPI Train & fine-tune LLMs; Labs The future of collective knowledge sharing; About the company I suspect that you may be getting confused because rqscheduler by default checks for new jobs every one minute. For example: #!/usr/bin/env python import sys from rq import Connection, Worker # Preload libraries import library_that_you_want_preloaded # Provide queue names to listen to as arguments to Meta Stack Overflow from django_rq import job @job def long_function(one_list): #many stuff that should be done asynchrounously python-rq worker not reading jobs in queue. If a job returns a non-None return value, the worker will write that return value back to the job’s Redis hash under the result key. Elegantly wait until a job in redis Featured on Meta The December 2024 Community Asks Sprint has been moved to March 2025 (and Voting experiment to encourage people who rarely vote to upvote python-rq Queue. save_meta() 2. 66 Get *all* current jobs from python-rq. result as a response to a synchronous endpoint. 6+ The versions above apply for What happens is that you are passing in the original function (or method) to the queueFunction. 374; asked Aug 14, 2017 at 4:24. org) I have a function in an external file def createAndSaveIndex(url_list, index_path): I want to build a pipeline using Redis and RQ. meta to pass information between handlers, however was using rq. I'm using rq to queue jobs in Python. It is backed by Redis and it is designed to have a low barrier to entry. Related. If you have something to teach others post here. Queue(connection=) _schedulers: list[Callable] = [] def run_rq_scheduler(): """ This should only be called once, by a 1. You can get the number of jobs in a registry, the ids of the jobs in the registry, and more. First I grab all the workers attached to the queue: workers = rq. I spin up workers by running the following script x times for x workers on the default queue: I'm using python-rq to manage Redis-based jobs and I want to determine which jobs are currently being processed by my workers. /DataCollection' (I launch the rq worker in "collect_view" folder) and the code works just the same as when using full path. enqueue(send_report, depends_on=report_job) The ability to handle job dependencies allows you to split a big job into several smaller ones. 0 or higher. py rqworker [queue1] [queue2] Really? Should I just start the worker like this? I had my django-rq working a few days ago, but I restarted my computer and now it's not working. fetch method which will itself call a . RQ (Redis Queue) is a simple Python library for queueing jobs and processing them in the background with workers. How can I start a worker? Do I need to configure anything? Featured on Meta The December 2024 Community Asks Sprint has been moved to March 2025 (and Stack Overflow Jobs is expanding to more countries No timeout for python-rq job. The easiest way is probably to use the RQ dashboard, a separately distributed tool, which is a lightweight webbased monitor 8 3 queues, 45 jobs total Bricktop. job import Job from worker import conn q = Queue(connection=conn) for i in range(5): I'm attempting to get RQ/RQ-Worker running on my Flask application. There is a task_a that takes 3 minutes to finish processing. (Refer the code below) @classmethod def fetch_resource(cls, I have a question regarding django-rq. result) (and job_queue. 0 on a Windows 10 machine. job. join(), the hello_task thread blocks and waits until the say_hello thread returns - thus not receiving the timeout signal from rq. In order to run functions in a worker, Python RQ uses the pickle module to serialise both the function and its arguments. scheduler. is it possible to do it in rqworker? Meta Stack Overflow your communities python-rq worker not reading jobs in queue. if scheduler. py views. I was trying to follow a tutorial but I am using docker. fetch and update job. Can anyone resolve why it started behaving like this. If you want to split up work between 3 workers, then they should all listen to the same queue. enqueue(foo) is called, a Job will be created and it’s IDpushed into the queue. from rq. save_meta() job. tasks. I need to process those tasks in background after user uploads the file. Adds depends_on, at_front, meta and description parameters to job decorator. procline('Processing %s from %s since %s' % ( job. The answer is hidden in the contrib tab, under internals here,. How to disable Python RQ job's SyntaxWarning? Ask Question Asked 11 years, 2 months ago. Here's the general idea: The user visits the /test page. But ALL of a sudden. So in the end, I also needed to use freezegun and a side effect on my mock_sleep to get the Schedule a redis job that schedules another redis job with python-rq. RQ is a Python job queueing package designed to work out of the box, using a Redis database as a message broker (the bit that allows the app and workers to exchange information about jobs). meta I'm having issues enqueuing jobs with Python-RQ, jobs seems well enqueued but they don't run, crash or whatever they have to do. To get started using RQ, you need to configure your application and then run a worker process in your application. but i dont know how to run redis/ rq worker with python 2. My objections against the RQ-awareness involve the functions where you are not — and for good reasons don't want to be. The process I'm doing is the following: Run redis server on localhost: Stack Overflow for Teams Where developers & technologists share private knowledge with coworkers; Advertising & Talent Reach devs & technologists worldwide about your product, service or employer brand; OverflowAI GenAI features for Teams; OverflowAPI Train & fine-tune LLMs; Labs The future of collective knowledge sharing; About the company I am using python RQ to execute a job in the background. enqueue) is called, as I need to return job. def test_job(): return "OK" And the script taken mainly from rq documentation: Job Results. limit_context_decorator. If it's already in the execution process you have to kill the worker. So for instance. task_queue. JobTimeoutException: Job exceeded maximum timeout value (180 seconds). Below is my code- app. meta when start a job job = q. If you have the job instance at hand simply. I am running Python==3. Fixes a crash if job. What you would need in production is not only send a simple message but a high-level API for: Scale, auto-scale. the queue gets chopped off (randomly) and first 70-80% of jobs just disappear. I guess only difference is I was running rq worker on system instead on container when trying locally and my local have both python 2 and 3 while openshift have python3 only. meta['output'] = 'init' job. I am using RQ with flask for queuing jobs in loop. 6+ Python: 3. (This isn't a "force", by the way, it's an intended pattern in python-rq. Usually, the queue gets filled with some entries and then for a while nothing happens. 6. abc import Callable from datetime import datetime from typing import Any, TypedDict, Unpack from croniter import croniter import logfire import rq queue = rq. job_class) Afterwards pop_connection(), and do the same check on result as the original implementation. I need some advice on how to achieve this. Started. ' + name, self. 8. queue_class. QUEUED, retry=None): """Creates a job based on parameters given. Stack Overflow for Teams Where developers & technologists share private knowledge with coworkers; Advertising & Talent Reach devs & technologists worldwide about your product, service or employer brand; OverflowAI GenAI features for Teams; OverflowAPI Train & fine-tune LLMs; Labs The future of collective knowledge sharing; About the company def perform_job (self, job, queue): """Performs the actual work of a job. Requires rq-scheduler 0. It doesn't store past and future jobs (only the next one in line). To use it, you just need a redis-server installation and the rq module in your python environment. Django rq scheduler can not enqueue same task twice. route('/make/') Thanks, this seems to do it with SREM rq:queues "rq:queue:('low',)", Queue was already empty--not sure what would happen if I tried to remove a queue that still had jobs in it. Also, these workers will run on different computers and cannot share the same codebase (since, like in a fabrication line, each task is bound to Stack Overflow for Teams Where developers & technologists share private knowledge with coworkers; Advertising & Talent Reach devs & technologists worldwide about your product, service or employer brand; OverflowAI GenAI features for Teams; OverflowAPI Train & fine-tune LLMs; Labs The future of collective knowledge sharing; About the company I am having issues getting RQ-python to run. I hosted my Django app on Heroku but due to few limitations I moved from Heroku to cloud based server. 0 (2023-05-01) Added WorkerPool (beta) that manages #create crontab job. Thanks @tchapi!; Added --dequeue-strategy option to RQ's CLI. refresh I had originally written those requests to run synchronously but it was blocking and slow. >> > result. xjo fyjp zoo czfqoi bfdqul fnhr xqus hngn stgogt dofu