REGR: fix read_parquet with column of large strings (avoid overflow from concat) #55691
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jorisvandenbossche
added
Regression
pandas/tests/io/test_parquet.py
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| def test_string_column_above_2GB(self, tmp_path, pa): | ||
| # https://github.com/pandas-dev/pandas/issues/55606 | ||
| # above 2GB of string data | ||
| v1 = b"x" * 100000000 | ||
| v2 = b"x" * 147483646 | ||
| df = pd.DataFrame({"strings": [v1] * 20 + [v2] + ["x"] * 20}, dtype="string") | ||
| df.to_parquet(tmp_path / "test.parquet") | ||
| result = read_parquet(tmp_path / "test.parquet") | ||
| assert result["strings"].dtype == "string" |
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This test is quite slow (around 20s for me) and uses a lot of memory (> 5 GB), so I am not sure we should add it ... (our "slow" tests are still run by default, so this would be annoying when running the tests locally)
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I'm in favor of not adding this test given the potential CI load. Maybe an ASV since this is "performance" related too given the memory trigger if you think that makes sense.
At minimum, would be good to comment in pandas/core/arrays/string_.py why the modification was made
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Added a comment about it, and "removed" the test: I left the code here, to make it easier to run that test in the future by just uncommenting (or if we enable some high_memory mark that would be disabled by default)
Adding a ASV sounds useful, but wouldn't prevent catching a regression, as also for ASV we would use a smaller dataset. So leaving that out of the PR here.
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thanks @jorisvandenbossche. |
…arge strings (avoid overflow from concat)
…n of large strings (avoid overflow from concat)) (#55706) Backport PR #55691: REGR: fix read_parquet with column of large strings (avoid overflow from concat) Co-authored-by: Joris Van den Bossche <[email protected]>
pyarrow.lib.ArrowInvalid: offset overflow while concatenating arrays#55606doc/source/whatsnew/vX.X.X.rstfile if fixing a bug or adding a new feature.