You are right thanks :) Am Dienstag, 13. März 2018 06:12:57 UTC+1 schrieb [email protected]: > > The db.sqlite3 file is created and used only when using SQLite. Since you > used the docker compose, the database backend being used is PostgreSQL. > > Execute: docker ps > > You should have two containers. One for the project and another for the > database. > > On Sunday, March 11, 2018 at 5:53:17 AM UTC-4, Raul wrote: >> >> Hi Eric, >> >> it seems like everything is the correct volume except for the db.sqllite3 >> file. >> Do you know how I can fix this? >> >> >> Am Freitag, 9. März 2018 01:20:32 UTC+1 schrieb [email protected]: >>> >>> Awesome! Make sure you use Docker named volumes for the data. It is a >>> current limitation that I hope to correct soon. >>> >>> On Thursday, March 8, 2018 at 2:45:59 PM UTC-4, Raul wrote: >>>> >>>> I was able to get it working by building it by myself with >>>> docker-compose. >>>> Nice jobs guys :) >>>> >>>> >>>> Am Donnerstag, 8. März 2018 19:09:57 UTC+1 schrieb Raul: >>>>> >>>>> I just tried to start run that image. However, it stucks in a >>>>> rebooting loop. >>>>> Do you know what I can do? >>>>> Is the image working? >>>>> >>>>> Thanks >>>>> >>>>> Am Donnerstag, 1. März 2018 09:45:37 UTC+1 schrieb [email protected]: >>>>>> >>>>>> The Docker image is available from the Docker Hub at: >>>>>> https://hub.docker.com/r/mayanedmsng/mayanedmsng/ >>>>>> >>>>>> Every procedure is the same as with the upstream version with the >>>>>> only change that the repository reference must be >>>>>> mayanedmsng/mayanedmsng >>>>>> instead of mayanedms/mayanedms. >>>>>> >>>>>> Once change this image has is that is includes a fourth worker to >>>>>> handle the OCR and parsing queues. This worker is run with the lowest >>>>>> possible process priority (19). Therefore OCR results might take longer >>>>>> than with the upstream image. The advantage is that the OCR will not >>>>>> slowdown the execution of the rest of the program. The total image >>>>>> layers >>>>>> were reduced from 54 to 44. Total image size remained the same 1.32GB >>>>>> and >>>>>> 490.8MB compressed (the actual download). >>>>>> >>>>>> Other changes according to Docker's best practices were made (pinning >>>>>> installs to a specific version, not running dist-upgrade, etc). >>>>>> >>>>>> The repository for this image is here: >>>>>> https://gitlab.com/e.riggs/mayan-edms-docker/commits/master >>>>>> >>>>>> I will continue working on getting the size of the image down. I'll >>>>>> also keep trying using other base images instead of Ubuntu and or update >>>>>> to >>>>>> a more recent version of Ubuntu, as time allows. >>>>>> >>>>>> >>>>>>
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