In summary: sometimes exactly once can be hard or impossible, arq favours multiple times over zero times. use database transactions, idempotency keys or redis to mark when an API request or similar has succeeded Less than 6 seconds or your worker never shuts down when a job is running (impossible).)Īll arq jobs should therefore be designed to cope with being called repeatedly if they’re cancelled,Įg. Shutting down (I wrote the HerokuWorker for rq), however this never really works unless either: all jobs take This in turn requires complex logic to try and let jobs finish before (This differs from other similar libraries like arq <= v0.15, rq, celery et al. To be run again when the worker starts up again (or run by another worker which is still running). If the worker shuts down, the job will be cancelled immediately and will remain in the queue
#Enqueue python install#
Install ¶Īrq v0.16 has what I’m calling “pessimistic execution”: jobs aren’t removed from the queue until they’ve either smallĪnd easy to reason with - currently arq is only about 700 lines, that won’t change significantly. I’m a long time contributor to and user of rq, arq is designed to be simpler, clearer and more powerful. With io that might increase to around 40x
fastĪsyncio and no forking make arq around 7x faster than Means arq is great for critical jobs that must be completed. powerful-featuresĭeferred execution, easy retrying of jobs, and pessimistic execution ( see below) Multiple jobs (potentially hundreds) can be run simultaneously Non-blocking job enqueuing and execution. You will need to either keep using v0.15 or entirely rewrite your arqĪrq is built using python 3’s asyncio allowing In v0.16 arq was COMPLETELY REWRITTEN to use an entirely different approach to registering workers,Įnqueueing jobs and processing jobs.
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