Comments (2)
Hi @devstein - Thanks for the response. I don't think I have any good ideas, but Im not super familiar with the codebase.
We explored a few approaches with extending the underlying classes and creating our own kernel, but never got something that completely worked. It felt like I was on a track that could work, but I lacked the expertise around how jupyter loaded extensions and didn't really have to time to dig as deep as probably required.
We ended creating a patch file as a short term effort to avoid fork.
Please feel free to close this issue.
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Hey @bradleyhurley thanks for making an issue! Unfortunately, I don't have guidance on how to natively extend Sparkmagic's magics. The most common approach is to fork Sparkmagic and change %%sql
to meet your needs.
This is definitely a pain point and will keep in mind for future refactors. If you have any ideas, please let me know!
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