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feat(memtable): add pyarrow.dataset support #10206
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Sep 24, 2024
I'm going to xfail polars for now -- I think we can strip out all of the custom in-memory reading stuff and that will make this work, but that seems like a separate PR |
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This adds support for using `memtable` with `pyarrow.dataset.Dataset` objects. Mostly this looks the same as the `PyArrowTableProxy`. Some deviations: - An additional `to_pyarrow_lazy` method for grabbing the underlying object without materializing it, for backends that can perform pushdowns (currently only enabled with DuckDB). - Datasets are hashable objects, so we override the PseudoHashable `hash` implementation (this seemed like less trouble than special-casing this one memtable everywhere else we look for `TableProxy` objects) - I've added a `cached_property` so we can avoid repeatedly materializing the data -- this does _not_ apply to the `lazy` view.
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Description of changes
This adds support for using
memtable
withpyarrow.dataset.Dataset
objects. Mostly this looks the same as the
PyArrowTableProxy
.Some deviations:
to_pyarrow_lazy
method for grabbing the underlyingobject without materializing it, for backends that can perform
pushdowns (currently only enabled with DuckDB).
hash
implementation (this seemed like less trouble than special-casingthis one memtable everywhere else we look for
TableProxy
objects)cached_property
so we can avoid repeatedlymaterializing the data -- this does not apply to the
lazy
view.Issues closed
Resolves #10082