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Source: https://github.com/blue-yonder/turbodbc

I would volunteer to package it but have some open questions:

  • It would depend on unixodbc which is not yet packaged in conda-forge but externally: Should I also add a package for it?
  • It may also be helpful to provide two versions of turbodbc, one built with iodbc and one with unixodbc. This would be very roughly similiar to selecting a specific numpy version but I have no idea how this could be done or where I would have to search for documentation. Any pointers are welcome here. If this is not possible, I would default to only the unixodbc based version.

Issue Analytics

  • State:closed
  • Created 7 years ago
  • Comments:7 (5 by maintainers)

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1reaction
wesmcommented, Feb 16, 2017

Yes, you should add a unixodbc package.

For the iodbc package, it’s tricky but you could implement this using conda “features” – e.g. NumPy navigates this with the mkl, non-MKL, and openblas variants (e.g. https://github.com/conda-forge/numpy-feedstock/blob/master/recipe/meta.yaml#L19). This is more sparsely documented than you would like

0reactions
jakirkhamcommented, Jun 7, 2017

Also please raise this sort of issue at the feedstock in the future. Thanks.

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