feat: new cookbook for data movement#15
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esadek
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Apr 29, 2026
| "cell_type": "markdown", | ||
| "id": "d9e9e7af", | ||
| "metadata": {}, | ||
| "source": "## Takeaways\n\nWhile the above example moved only 344 rows of data between our two databases, it illustrates an important point that can be extrapolated to data of any scale: ADBC is a fast but also uniform API for not only connecting to databases but also connecting databases together. Without a standard interface like ADBC, every pair of databases you wanted to move data between would need a separate solution. In a world with ADBC, you only need two ADBC drivers and a little bit of Python (or your language of choice) code." |
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It would be cool to actually use a dataset that doesn't fit in memory.
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I removed the outputs. GizmoSQL doesn't start up fast so to make the notebook runnable with nbconvert I'd have to add a code cell I'd rather not. It looks like the other examples don't have any similar logic so maybe this is fine? |
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Hi @esadek do you want to take a look again? I fixed the issues and I re-ran all the cells and selectively kept just the output I think we want in the final output. |
esadek
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May 18, 2026
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I keep seeing people not getting my favorite point about ADBC: The RecordBatchReader-as-a-service. Here's an attempt.