(using multiprocessing from the stdlib), so the new spawned process must able to safely import the module withoutĬausing any side effects (starting a new process on top of the main ones). Support RQ Scheduler If you find rq-scheduler useful, please consider supporting its development via Tidelift. Import must be protected with if _name_ = '_main_'. RQ Scheduler is a small package that adds job scheduling capabilities to RQ, a Redis based Python queuing library. When running the worker programmatically with the scheduler, you must keep in mind that the Up by other workers with the scheduling component enabled. This way, if a worker with active scheduler dies, the scheduling work will be picked If they don’t, one of the idle schedulers will start Idle schedulers will periodically (every 15 minutes) check whether the queues they’re Keep the visual indicators you are used to but gain the flexibility to meet the changing requirements of your shop in the future. This is used to give you a birds eye view of your workload and schedule. Workers with scheduler enabled, only one scheduler will be actively working for a given queue.Īctive schedulers are responsible for enqueueing scheduled jobs. NO WHITEBOARDS, MAGNETS OR VELCRO REQUIRED QScheduler features an easy to learn and simple to use drag and drop interface. Only a single scheduler can run for a specific queue at any one time. Tidelift works with the maintainers of rq-scheduler on pypi & thousands of other projects to deliver support & maintenance for the open source dependencies. For example, we’ll create a module logtotmp. From rq import Worker, Queue from redis import Redis redis = Redis () queue = Queue ( connection = redis ) worker = Worker ( queues =, connection = redis ) worker. You can use the rq-scheduler to execute specific code at a specific time by creating a Scheduler object and passing it a function to execute, a Python datetime, and any arguments you want to pass to the function.
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