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Changing csv_reader_py impl to return df from objmode#918
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AlexanderKalistratov merged 4 commits intoIntelPython:masterfrom Sep 9, 2020
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Hello @kozlov-alexey! Thanks for updating this PR. We checked the lines you've touched for PEP 8 issues, and found: There are currently no PEP 8 issues detected in this Pull Request. Cheers! 🍻 Comment last updated at 2020-09-07 22:18:36 UTC |
Motivation: returning Tuple of columns read from csv file with pyarrow csv reader from objmode and further calling init_dataframe ctor to create native DF turned out to be inneficient in sense of LLVM IR size and compilation time. With this PR we now rely on DF unboxing and return py DF from objmode.
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| tuple(col_typs), | ||
| types.none, | ||
| tuple(col_names), | ||
| column_loc=column_loc |
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This implies has_parent=False (so we won't make reflection of changes made to native DF at boxing to python object), but it turns out that we don't support reflection for DFs at all. @AlexanderKalistratov, do you think it's a problem in this context (i.e. we should probably support reflection first)?
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This reverts commit 811e9f0.
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This reverts commit 30122b2.
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This reverts commit 30122b2.
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This reverts commit 30122b2.
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Motivation: returning Tuple of columns read from csv file with
pyarrow csv reader from objmode and further calling init_dataframe
ctor to create native DF turned out to be inefficient in sense of
LLVM IR size and compilation time. With this PR we now rely on DF
unboxing and return py DF from objmode.
Compile time of read_csv + df.count():