bug: Let classic python version work without grpc deps#647
Merged
SemyonSinchenko merged 3 commits intographframes:masterfrom Jul 17, 2025
Merged
bug: Let classic python version work without grpc deps#647SemyonSinchenko merged 3 commits intographframes:masterfrom
SemyonSinchenko merged 3 commits intographframes:masterfrom
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Kimahriman
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Jul 17, 2025
python/graphframes/graphframe.py
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| return GraphFrame(impl.vertices, impl.edges) | ||
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| def __init__(self, v: DataFrame, e: DataFrame) -> None: | ||
| self._impl: GraphFrameClassic | 'GraphFrameConnect' |
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There's a lot of typing issues but fixed this one at least while I was here. _impl defaulted to the first thing assigned to it which was GraphFrameConnect
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I hope one day to implement something cool instead, like spark's decorator about dynamic dispatch... This "_impl" based realization is not perfect :(
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jfyi: There is a pre-comfigured pre-commit.
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SemyonSinchenko
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Jul 17, 2025
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SemyonSinchenko
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LGTM! Thanks for it!
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Resolves #646
What changes were proposed in this pull request?
Lazily import connect client to avoid import errors if not trying to use connect. If the user is using connect (i.e.
is_remote()is true), it will throw an error if there is a dependency issue when creating the graphframe object.Why are the changes needed?
To let the python package work with classic spark without grpc related dependencies installed.