Re: [galaxy-dev] Docker on Windows 10

2016-08-31 Thread Jochen Bick
In addition, this is the error message: *sqlalchemy.exc.OperationalError: (psycopg2.OperationalError) could not connect to server: Connection refused* *Is the server running on host "localhost" (::1) and accepting* *TCP/IP connections on port 5432?* *could not connect to server: Connection refu

Re: [galaxy-dev] Docker on Windows 10

2016-08-31 Thread Jochen Bick
Hi Hans-Rudolf, here is my progress: If I use Kitematic and download galaxy-stable I can run it and tools can be installed including dataset are also not lost after shutdown. I haven't found the path for my files and I would like to modify also the galaxy.ini. The export path is set to c:/use

Re: [galaxy-dev] Docker on Windows 10

2016-08-31 Thread Hans-Rudolf Hotz
Hi Jochen I would definitively go for the native docker for Windows and not using docker tool box. Though, this is based on my experience using native docker for Mac versus docker tool box. Maybe someone else on the list has experience with running Bjoern's docker images on windows? Yes,

Re: [galaxy-dev] Docker on Windows 10

2016-08-31 Thread Jochen Bick
Hi Hans-Rudolf, thanks for the quick reply. docker run -i -t -p 8080:80 -v E:\galaxy_storage\:/export/ bgruening/galaxy-stable /bin/bash this looks really nice. Is it possible to modify galaxy files in the interactive session or will it all be reseted after closing the session? This will

Re: [galaxy-dev] Docker on Windows 10

2016-08-31 Thread Hans-Rudolf Hotz
Hi Jochen try starting docker with: docker run -i -t -p 8080:80 -v E:\galaxy_storage\:/export/ bgruening/galaxy-stable /bin/bash This will provide an interactive session. You can then start Galaxy (and other stuff like the required PostgreSQL server) with startup > log 2>&1 & and have acc

[galaxy-dev] Docker on Windows 10

2016-08-30 Thread Jochen Bick
Hi, I am on the way to set up a Docker container on win 10. My problem is that I do not often work on win 10. My idea is to set up a galaxy which can be uses once in a while if needed and will be shutdown or not started if not needed: So I am interested in exporting all datasets including the