Hello, I’m having a heck of a time trying to get persistent data for the install. When I take the stack down and bring it back up I always end up back at the installation screen. I’ve tried various combinations of named volumes, but, none work long term.
I get one error during installation, nothing negative in the logs to correspond with this message in the front end. Otherwise, it appears that the installation is successful.
I also have a very difficult time adding a data source for an NFS mount that already has files. My hardware may be the limiting factor during indexing, but, I can’t tell for sure. All I get is a timeout and data source not found error in the logs.
Hi did you ever get this resolved? It seems named containers are the way to go with docker, this way data can be shared across different containers/apps. I’m just starting to experiment myself with Pydio using either CIFS or NFS mounted data shares - will little success.
please do not resurrect very old threads, rather make a new one .
That said, this yaml file has some problems, main one being that the default working directory in the official docker image is rather there: /var/cells
So your yaml file should rather be something like this:
Create a new datasource that points toward /data/dss/datasource1
For the record the dss folder level (not its name) is compulsory for the datasource to be correctly configured.
If you want to define more than one data source at this location, it is better to have also the second level, so that you can easily configure it at /data/dss/datasource2
Please refer to our admin doc if you want / need deeper understanding of the what and why.