Rest of second line:

This causes Celery to execute just one worker process as opposed to one 
process for each CPU core.

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/ 
> 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


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