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2 changes: 2 additions & 0 deletions pandas/compat/pyarrow.py
Original file line number Diff line number Diff line change
Expand Up @@ -11,8 +11,10 @@
pa_version_under2p0 = _palv < Version("2.0.0")
pa_version_under3p0 = _palv < Version("3.0.0")
pa_version_under4p0 = _palv < Version("4.0.0")
pa_version_under5p0 = _palv < Version("5.0.0")
except ImportError:
pa_version_under1p0 = True
pa_version_under2p0 = True
pa_version_under3p0 = True
pa_version_under4p0 = True
pa_version_under5p0 = True
36 changes: 26 additions & 10 deletions pandas/tests/io/test_parquet.py
Original file line number Diff line number Diff line change
Expand Up @@ -17,6 +17,7 @@
from pandas.compat.pyarrow import (
pa_version_under1p0,
pa_version_under2p0,
pa_version_under5p0,
)
import pandas.util._test_decorators as td

Expand Down Expand Up @@ -222,6 +223,29 @@ def compare(repeat):
compare(repeat)


def check_partition_names(path, expected):
"""Check partitions of a parquet file are as expected.

Parameters
----------
path: str
Path of the dataset.
expected: iterable of str
Expected partition names.
"""
if pa_version_under5p0:
import pyarrow.parquet as pq

dataset = pq.ParquetDataset(path, validate_schema=False)
assert len(dataset.partitions.partition_names) == len(expected)
assert dataset.partitions.partition_names == set(expected)
else:
import pyarrow.dataset as ds

dataset = ds.dataset(path, partitioning="hive")
assert dataset.partitioning.schema.names == expected


def test_invalid_engine(df_compat):
msg = "engine must be one of 'pyarrow', 'fastparquet'"
with pytest.raises(ValueError, match=msg):
Expand Down Expand Up @@ -743,11 +767,7 @@ def test_partition_cols_supported(self, pa, df_full):
df = df_full
with tm.ensure_clean_dir() as path:
df.to_parquet(path, partition_cols=partition_cols, compression=None)
import pyarrow.parquet as pq

dataset = pq.ParquetDataset(path, validate_schema=False)
assert len(dataset.partitions.partition_names) == 2
assert dataset.partitions.partition_names == set(partition_cols)
check_partition_names(path, partition_cols)
assert read_parquet(path).shape == df.shape

def test_partition_cols_string(self, pa, df_full):
Expand All @@ -757,11 +777,7 @@ def test_partition_cols_string(self, pa, df_full):
df = df_full
with tm.ensure_clean_dir() as path:
df.to_parquet(path, partition_cols=partition_cols, compression=None)
import pyarrow.parquet as pq

dataset = pq.ParquetDataset(path, validate_schema=False)
assert len(dataset.partitions.partition_names) == 1
assert dataset.partitions.partition_names == set(partition_cols_list)
check_partition_names(path, partition_cols_list)
assert read_parquet(path).shape == df.shape

@pytest.mark.parametrize("path_type", [str, pathlib.Path])
Expand Down