feat: Add delta format to FileSource, add support for it in ibis/duckdb

protos/feast/core/DataFormat.proto

@@ -27,8 +27,12 @@ message FileFormat {
   // Defines options for the Parquet data format
   message ParquetFormat {}
 
+  // Defines options for delta data format
+  message DeltaFormat {}
+
   oneof format {
     ParquetFormat parquet_format = 1;
+    DeltaFormat delta_format = 2;
   }
 }
 

sdk/python/feast/data_format.py

@@ -43,6 +43,8 @@ def from_proto(cls, proto):
         fmt = proto.WhichOneof("format")
         if fmt == "parquet_format":
             return ParquetFormat()
+        elif fmt == "delta_format":
+            return DeltaFormat()
         if fmt is None:
             return None
         raise NotImplementedError(f"FileFormat is unsupported: {fmt}")
@@ -66,6 +68,18 @@ def __str__(self):
         return "parquet"
 
 
+class DeltaFormat(FileFormat):
+    """
+    Defines delta data format
+    """
+
+    def to_proto(self):
+        return FileFormatProto(delta_format=FileFormatProto.DeltaFormat())
+
+    def __str__(self):
+        return "delta"
+
+
 class StreamFormat(ABC):
     """
     Defines an abtracts streaming data format used to encode feature data in streams

sdk/python/feast/infra/offline_stores/file_source.py

@@ -8,7 +8,7 @@
 from typeguard import typechecked
 
 from feast import type_map
-from feast.data_format import FileFormat, ParquetFormat
+from feast.data_format import DeltaFormat, FileFormat, ParquetFormat
 from feast.data_source import DataSource
 from feast.feature_logging import LoggingDestination
 from feast.protos.feast.core.DataSource_pb2 import DataSource as DataSourceProto
@@ -157,24 +157,31 @@ def get_table_column_names_and_types(
         filesystem, path = FileSource.create_filesystem_and_path(
             self.path, self.file_options.s3_endpoint_override
         )
-        # Adding support for different file format path
-        # based on S3 filesystem
-        if filesystem is None:
-            kwargs = (
-                {"use_legacy_dataset": False}
-                if version.parse(pyarrow.__version__) < version.parse("15.0.0")
-                else {}
-            )
 
-            schema = ParquetDataset(path, **kwargs).schema
-            if hasattr(schema, "names") and hasattr(schema, "types"):
-                # Newer versions of pyarrow doesn't have this method,
-                # but this field is good enough.
-                pass
+        # TODO why None check necessary
+        if self.file_format is None or isinstance(self.file_format, ParquetFormat):
+            if filesystem is None:
+                kwargs = (
+                    {"use_legacy_dataset": False}
+                    if version.parse(pyarrow.__version__) < version.parse("15.0.0")
+                    else {}
+                )
+
+                schema = ParquetDataset(path, **kwargs).schema
+                if hasattr(schema, "names") and hasattr(schema, "types"):
+                    # Newer versions of pyarrow doesn't have this method,
+                    # but this field is good enough.
+                    pass
+                else:
+                    schema = schema.to_arrow_schema()
             else:
-                schema = schema.to_arrow_schema()
+                schema = ParquetDataset(path, filesystem=filesystem).schema
+        elif isinstance(self.file_format, DeltaFormat):
+            from deltalake import DeltaTable
+
+            schema = DeltaTable(self.path).schema().to_pyarrow()
         else:
-            schema = ParquetDataset(path, filesystem=filesystem).schema
+            raise Exception(f"Unknown FileFormat -> {self.file_format}")
 
         return zip(schema.names, map(str, schema.types))
 

sdk/python/feast/infra/offline_stores/ibis.py

@@ -13,6 +13,7 @@
 from ibis.expr.types import Table
 from pytz import utc
 
+from feast.data_format import DeltaFormat, ParquetFormat
 from feast.data_source import DataSource
 from feast.errors import SavedDatasetLocationAlreadyExists
 from feast.feature_logging import LoggingConfig, LoggingSource
@@ -105,6 +106,15 @@ def _generate_row_id(
 
         return entity_table
 
+    @staticmethod
+    def _read_data_source(data_source: DataSource) -> Table:
+        assert isinstance(data_source, FileSource)
+
+        if isinstance(data_source.file_format, ParquetFormat):
+            return ibis.read_parquet(data_source.path)
+        elif isinstance(data_source.file_format, DeltaFormat):
+            return ibis.read_delta(data_source.path)
+
     @staticmethod
     def get_historical_features(
         config: RepoConfig,
@@ -137,7 +147,9 @@ def get_historical_features(
         def read_fv(
             feature_view: FeatureView, feature_refs: List[str], full_feature_names: bool
         ) -> Tuple:
-            fv_table: Table = ibis.read_parquet(feature_view.batch_source.name)
+            fv_table: Table = IbisOfflineStore._read_data_source(
+                feature_view.batch_source
+            )
 
             for old_name, new_name in feature_view.batch_source.field_mapping.items():
                 if old_name in fv_table.columns:
@@ -227,7 +239,7 @@ def pull_all_from_table_or_query(
         start_date = start_date.astimezone(tz=utc)
         end_date = end_date.astimezone(tz=utc)
 
-        table = ibis.read_parquet(data_source.path)
+        table = IbisOfflineStore._read_data_source(data_source)
 
         table = table.select(*fields)
 
@@ -260,10 +272,9 @@ def write_logged_features(
         destination = logging_config.destination
         assert isinstance(destination, FileLoggingDestination)
 
-        if isinstance(data, Path):
-            table = ibis.read_parquet(data)
-        else:
-            table = ibis.memtable(data)
+        table = (
+            ibis.read_parquet(data) if isinstance(data, Path) else ibis.memtable(data)
+        )
 
         if destination.partition_by:
             kwargs = {"partition_by": destination.partition_by}
@@ -294,12 +305,21 @@ def offline_write_batch(
             )
 
         file_options = feature_view.batch_source.file_options
-        prev_table = ibis.read_parquet(file_options.uri).to_pyarrow()
-        if table.schema != prev_table.schema:
-            table = table.cast(prev_table.schema)
-        new_table = pyarrow.concat_tables([table, prev_table])
 
-        ibis.memtable(new_table).to_parquet(file_options.uri)
+        if isinstance(feature_view.batch_source.file_format, ParquetFormat):
+            prev_table = ibis.read_parquet(file_options.uri).to_pyarrow()
+            if table.schema != prev_table.schema:
+                table = table.cast(prev_table.schema)
+            new_table = pyarrow.concat_tables([table, prev_table])
+
+            ibis.memtable(new_table).to_parquet(file_options.uri)
+        elif isinstance(feature_view.batch_source.file_format, DeltaFormat):
+            from deltalake import DeltaTable
+
+            prev_schema = DeltaTable(file_options.uri).schema().to_pyarrow()
+            if table.schema != prev_schema:
+                table = table.cast(prev_schema)
+            ibis.memtable(table).to_delta(file_options.uri, mode="append")
 
 
 class IbisRetrievalJob(RetrievalJob):
@@ -338,20 +358,28 @@ def persist(
         if not allow_overwrite and os.path.exists(storage.file_options.uri):
             raise SavedDatasetLocationAlreadyExists(location=storage.file_options.uri)
 
-        filesystem, path = FileSource.create_filesystem_and_path(
-            storage.file_options.uri,
-            storage.file_options.s3_endpoint_override,
-        )
-
-        if path.endswith(".parquet"):
-            pyarrow.parquet.write_table(
-                self.to_arrow(), where=path, filesystem=filesystem
+        if isinstance(storage.file_options.file_format, ParquetFormat):
+            filesystem, path = FileSource.create_filesystem_and_path(
+                storage.file_options.uri,
+                storage.file_options.s3_endpoint_override,
             )
-        else:
-            # otherwise assume destination is directory
-            pyarrow.parquet.write_to_dataset(
-                self.to_arrow(), root_path=path, filesystem=filesystem
+
+            if path.endswith(".parquet"):
+                pyarrow.parquet.write_table(
+                    self.to_arrow(), where=path, filesystem=filesystem
+                )
+            else:
+                # otherwise assume destination is directory
+                pyarrow.parquet.write_to_dataset(
+                    self.to_arrow(), root_path=path, filesystem=filesystem
+                )
+        elif isinstance(storage.file_options.file_format, DeltaFormat):
+            mode = (
+                "overwrite"
+                if allow_overwrite and os.path.exists(storage.file_options.uri)
+                else "error"
             )
+            self.table.to_delta(storage.file_options.uri, mode=mode)
 
     @property
     def metadata(self) -> Optional[RetrievalMetadata]:

sdk/python/requirements/py3.10-ci-requirements.txt

@@ -59,11 +59,11 @@ bidict==0.23.1
     # via ibis-framework
 bleach==6.1.0
     # via nbconvert
-boto3==1.34.85
+boto3==1.34.88
     # via
     #   feast (setup.py)
     #   moto
-botocore==1.34.85
+botocore==1.34.88
     # via
     #   boto3
     #   moto
@@ -134,11 +134,11 @@ cryptography==42.0.5
     #   snowflake-connector-python
     #   types-pyopenssl
     #   types-redis
-dask[array,dataframe]==2024.4.1
+dask[array,dataframe]==2024.4.2
     # via
     #   dask-expr
     #   feast (setup.py)
-dask-expr==1.0.11
+dask-expr==1.0.12
     # via dask
 db-dtypes==1.2.0
     # via google-cloud-bigquery
@@ -148,6 +148,8 @@ decorator==5.1.1
     # via ipython
 defusedxml==0.7.1
     # via nbconvert
+deltalake==0.16.4
+    # via feast (setup.py)
 dill==0.3.8
     # via feast (setup.py)
 distlib==0.3.8
@@ -158,15 +160,15 @@ docker==7.0.0
     #   testcontainers
 docutils==0.19
     # via sphinx
-duckdb==0.10.1
+duckdb==0.10.2
     # via
     #   duckdb-engine
     #   ibis-framework
 duckdb-engine==0.11.5
     # via ibis-framework
 entrypoints==0.4
     # via altair
-exceptiongroup==1.2.0
+exceptiongroup==1.2.1
     # via
     #   anyio
     #   ipython
@@ -175,7 +177,7 @@ execnet==2.1.1
     # via pytest-xdist
 executing==2.0.1
     # via stack-data
-fastapi==0.110.1
+fastapi==0.110.2
     # via feast (setup.py)
 fastjsonschema==2.19.1
     # via nbformat
@@ -263,7 +265,7 @@ greenlet==3.0.3
     # via sqlalchemy
 grpc-google-iam-v1==0.13.0
     # via google-cloud-bigtable
-grpcio==1.62.1
+grpcio==1.62.2
     # via
     #   feast (setup.py)
     #   google-api-core
@@ -275,15 +277,15 @@ grpcio==1.62.1
     #   grpcio-status
     #   grpcio-testing
     #   grpcio-tools
-grpcio-health-checking==1.62.1
+grpcio-health-checking==1.62.2
     # via feast (setup.py)
-grpcio-reflection==1.62.1
+grpcio-reflection==1.62.2
     # via feast (setup.py)
-grpcio-status==1.62.1
+grpcio-status==1.62.2
     # via google-api-core
-grpcio-testing==1.62.1
+grpcio-testing==1.62.2
     # via feast (setup.py)
-grpcio-tools==1.62.1
+grpcio-tools==1.62.2
     # via feast (setup.py)
 gunicorn==22.0.0 ; platform_system != "Windows"
     # via feast (setup.py)
@@ -482,13 +484,13 @@ nest-asyncio==1.6.0
     # via ipykernel
 nodeenv==1.8.0
     # via pre-commit
-notebook==7.1.2
+notebook==7.1.3
     # via great-expectations
 notebook-shim==0.2.4
     # via
     #   jupyterlab
     #   notebook
-numpy==1.24.4
+numpy==1.26.4
     # via
     #   altair
     #   dask
@@ -615,12 +617,15 @@ pyarrow==15.0.2
     # via
     #   dask-expr
     #   db-dtypes
+    #   deltalake
     #   feast (setup.py)
     #   google-cloud-bigquery
     #   ibis-framework
     #   snowflake-connector-python
 pyarrow-hotfix==0.6
-    # via ibis-framework
+    # via
+    #   deltalake
+    #   ibis-framework
 pyasn1==0.6.0
     # via
     #   pyasn1-modules
@@ -692,7 +697,7 @@ pytest-ordering==0.6
     # via feast (setup.py)
 pytest-timeout==1.4.2
     # via feast (setup.py)
-pytest-xdist==3.5.0
+pytest-xdist==3.6.0
     # via feast (setup.py)
 python-dateutil==2.9.0.post0
     # via
@@ -728,7 +733,7 @@ pyyaml==6.0.1
     #   pre-commit
     #   responses
     #   uvicorn
-pyzmq==26.0.0
+pyzmq==26.0.2
     # via
     #   ipykernel
     #   jupyter-client
@@ -785,7 +790,7 @@ rsa==4.9
     # via google-auth
 ruamel-yaml==0.17.17
     # via great-expectations
-ruff==0.3.7
+ruff==0.4.1
     # via feast (setup.py)
 s3transfer==0.10.1
     # via boto3
@@ -812,7 +817,7 @@ sniffio==1.3.1
     #   httpx
 snowballstemmer==2.2.0
     # via sphinx
-snowflake-connector-python[pandas]==3.8.1
+snowflake-connector-python[pandas]==3.9.0
     # via feast (setup.py)
 sortedcontainers==2.4.0
     # via snowflake-connector-python
@@ -895,7 +900,7 @@ tqdm==4.66.2
     # via
     #   feast (setup.py)
     #   great-expectations
-traitlets==5.14.2
+traitlets==5.14.3
     # via
     #   comm
     #   ipykernel