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Use ParquetDataset for Schema Inference
Updates to use ParquetDataset instead of ParquetFile to do schema inference.  This supports both single files and directories of partitioned parquet datasets.

Signed-off-by: Dirk Van Bruggen <dirk@punchcyber.com>
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dvanbrug committed May 13, 2022
commit 828168170d8827d626a1ab509cd29f7c89b623a0
6 changes: 3 additions & 3 deletions sdk/python/feast/infra/offline_stores/file_source.py
Original file line number Diff line number Diff line change
Expand Up @@ -3,7 +3,7 @@

from pyarrow._fs import FileSystem
from pyarrow._s3fs import S3FileSystem
from pyarrow.parquet import ParquetFile
from pyarrow.parquet import ParquetDataset

from feast import type_map
from feast.data_format import FileFormat, ParquetFormat
Expand Down Expand Up @@ -179,9 +179,9 @@ def get_table_column_names_and_types(
filesystem, path = FileSource.create_filesystem_and_path(
self.path, self.file_options.s3_endpoint_override
)
schema = ParquetFile(
schema = ParquetDataset(
path if filesystem is None else filesystem.open_input_file(path)
).schema_arrow
).schema.to_arrow_schema()
return zip(schema.names, map(str, schema.types))

@staticmethod
Expand Down