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ARROW-2692: [Python] Add test for writing dictionary encoded columns to chunked Parquet files #2127

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ARROW-2692: [Python] Add test for writing dictionary encoded columns to chunked Parquet files #2127

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17 changes: 10 additions & 7 deletions python/pyarrow/tests/test_parquet.py
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Original file line number Diff line number Diff line change
Expand Up @@ -107,7 +107,7 @@ def test_single_pylist_column_roundtrip(tmpdir):
assert data_written.equals(data_read)


def alltypes_sample(size=10000, seed=0):
def alltypes_sample(size=10000, seed=0, categorical=False):
np.random.seed(seed)
arrays = {
'uint8': np.arange(size, dtype=np.uint8),
Expand All @@ -125,33 +125,36 @@ def alltypes_sample(size=10000, seed=0):
# them
'datetime': np.arange("2016-01-01T00:00:00.001", size,
dtype='datetime64[ms]'),
'str': [str(x) for x in range(size)],
'str': pd.Series([str(x) for x in range(size)]),
'empty_str': [''] * size,
'str_with_nulls': [None] + [str(x) for x in range(size - 2)] + [None],
'null': [None] * size,
'null_list': [None] * 2 + [[None] * (x % 4) for x in range(size - 2)],
}
if categorical:
arrays['str_category'] = arrays['str'].astype('category')
return pd.DataFrame(arrays)


@parquet
def test_pandas_parquet_2_0_rountrip(tmpdir):
@pytest.mark.parametrize('chunk_size', [None, 1000])
def test_pandas_parquet_2_0_rountrip(tmpdir, chunk_size):
import pyarrow.parquet as pq
df = alltypes_sample(size=10000)
df = alltypes_sample(size=10000, categorical=True)

filename = tmpdir.join('pandas_rountrip.parquet')
arrow_table = pa.Table.from_pandas(df)
assert b'pandas' in arrow_table.schema.metadata

_write_table(arrow_table, filename.strpath, version="2.0",
coerce_timestamps='ms')
coerce_timestamps='ms', chunk_size=chunk_size)
table_read = pq.read_pandas(filename.strpath)
assert b'pandas' in table_read.schema.metadata

assert arrow_table.schema.metadata == table_read.schema.metadata

df_read = table_read.to_pandas()
tm.assert_frame_equal(df, df_read)
df_read = table_read.to_pandas(categories=['str_category'])
tm.assert_frame_equal(df, df_read, check_categorical=False)


@parquet
Expand Down