jorisvandenbossche commented on code in PR #36538:
URL: https://github.com/apache/arrow/pull/36538#discussion_r1255670641
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python/pyarrow/tests/test_dataset.py:
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@@ -4551,20 +4553,32 @@ def test_write_dataset_parquet(tempdir):
file_paths = list(base_dir.rglob("*"))
expected_paths = [base_dir / "part-0.parquet"]
assert set(file_paths) == set(expected_paths)
- # check Table roundtrip
+ # check Table roundtrip with default version
result = ds.dataset(base_dir, format="parquet").to_table()
assert result.equals(table)
# using custom options
for version in ["1.0", "2.4", "2.6"]:
format = ds.ParquetFileFormat()
opts = format.make_write_options(version=version)
+ assert "<pyarrow.dataset.ParquetFileWriteOptions" in repr(opts)
base_dir = tempdir / 'parquet_dataset_version{0}'.format(version)
ds.write_dataset(table, base_dir, format=format, file_options=opts)
meta = pq.read_metadata(base_dir / "part-0.parquet")
expected_version = "1.0" if version == "1.0" else "2.6"
assert meta.format_version == expected_version
+ # ensure version is actually honored based on supported datatypes
+ result = ds.dataset(base_dir, format="parquet").to_table()
+ schema = table.schema
+ if version == "1.0":
+ # uint32 is written as int64
+ schema = schema.set(0, schema.field(0).with_type(pa.int64()))
+ if version in ("1.0", "2.4"):
+ schema = schema.set(1,
schema.field(1).with_type(pa.timestamp("us")))
Review Comment:
I created the dataset with nanoseconds, so `schema` has nanoseconds for 2.6
(I only change it to microseconds for the older versions), so it is also being
tested here
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