Have you tried to use data libraries for this? There's an import mechanism there that'll allow you to simply link to the file on disk without copy/upload. I believe the "example_watch_folder.py" sample script (in the distribution) does just this via the API, if you want an example.
On Mon, Sep 23, 2013 at 5:15 PM, Ted Goldstein ted@soe.ucsc.edu wrote:
I want to frequently import many tens of thousands of datasets. The files are on the same sever as Galaxy. But the upload based mechanism is really really slow. It takes hours to load this many files, yet the data is not moving at all!
What is the best strategy to go about making a faster bulk import? I can imagine a tight loop that is
My datatypes are limited.
foreach folder new LibraryFolder
foreach file in each directory new LibraryDataset new LibraryDatasetDatasetAssociation
flush once at the end.
Thoughts?
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