Rest of second line: This causes Celery to execute just one worker process as opposed to one process for each CPU core.
http://docs.celeryproject.org/en/latest/userguide/workers.html#concurrency On Thursday, August 10, 2017 at 9:26:36 PM UTC-4, Roberto Rosario wrote: > > Hi, > > You can control the number of OCR processes using the "--concurrency=1" > setting of Celery on the worker managing the OCR queue. This causes Celery > to executye > > For example (from the Docker image): > > python /usr/local/lib/python2.7/dist-packages/mayan/bin/mayan-edms.py > celery --settings=mayan.settings.production worker -Ofair -l ERROR -Q > mailing,ocr,tools,statistics -n mayan-worker-slow.%%h --concurrency=1 > > If you are still running out of memory you can add the --concurrency=1 > setting to the other workers to control the conversion and display > processes. > > On Thursday, August 10, 2017 at 1:07:55 PM UTC-4, Mirco Hansen wrote: > >> Hi, >> >> is there a way to limit the number of OCR processes running at the same >> time? If I upload lots of documents the OCR in the background makes Mayan >> mostly unusable so I want to limit the number of background jobs. >> >> Thanks in advance. >> >> Regards >> Mirco >> >> -- --- You received this message because you are subscribed to the Google Groups "Mayan EDMS" group. To unsubscribe from this group and stop receiving emails from it, send an email to [email protected]. For more options, visit https://groups.google.com/d/optout.
