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GH-50849: [Python] Return correct ParquetLogicalType.type for geometry/geography #50850

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GH-50849: [Python] Return correct ParquetLogicalType.type for geometry/geography #50850

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GH-50849: [Python] Return correct ParquetLogicalType.type for geometr…
jorisvandenbossche Aug 11, 2026
7542395
fixup
jorisvandenbossche Aug 11, 2026
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2 changes: 2 additions & 0 deletions python/pyarrow/_parquet.pyx
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Original file line number Diff line number Diff line change
Expand Up @@ -1464,6 +1464,8 @@ cdef logical_type_name_from_enum(ParquetLogicalTypeId type_):
ParquetLogicalType_JSON: 'JSON',
ParquetLogicalType_BSON: 'BSON',
ParquetLogicalType_UUID: 'UUID',
ParquetLogicalType_GEOMETRY: 'GEOMETRY',
ParquetLogicalType_GEOGRAPHY: 'GEOGRAPHY',
ParquetLogicalType_NONE: 'NONE',
}.get(type_, 'UNKNOWN')

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22 changes: 22 additions & 0 deletions python/pyarrow/tests/parquet/test_metadata.py
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Expand Up @@ -871,3 +871,25 @@ def test_read_schema_uuid_extension_type(tmp_path):

schema_disabled = pq.read_schema(file_path_str, arrow_extensions_enabled=False)
assert schema_disabled.field("ext").type == pa.binary(16)


def test_geospatial_types(parquet_test_datadir):
metadata = pq.read_metadata(
parquet_test_datadir / "geospatial" / "crs-default.parquet"
)
column_schema = metadata.schema.column(1)
assert column_schema.name == "geometry"
assert column_schema.logical_type.type == "GEOMETRY"

col_chunk = metadata.row_group(0).column(1)
assert col_chunk.is_geo_stats_set
assert isinstance(col_chunk.geo_statistics, pa._parquet.GeoStatistics)
assert isinstance(col_chunk.geo_statistics.geospatial_types, list)
assert isinstance(col_chunk.geo_statistics.xmin, float)

metadata = pq.read_metadata(
parquet_test_datadir / "geospatial" / "crs-geography.parquet"
)
column_schema = metadata.schema.column(1)
assert column_schema.name == "geography"
assert column_schema.logical_type.type == "GEOGRAPHY"