class DeltaFileSource(CodableBatchDataSource, ColumnFeatureMappable, DataFileReference, WritableFeatureSource, Deletable): (source)
A source pointing to a Parquet file
| Class Method | multi | 
    Undocumented | 
| Method | __hash__ | 
    Undocumented | 
| Method | all | 
    Undocumented | 
| Method | all | 
    Undocumented | 
| Async Method | delete | 
    Undocumented | 
| Async Method | feature | 
    Setup the code needed to represent the data source as a feature view | 
| Async Method | insert | 
    Undocumented | 
| Method | job | 
    A key defining which sources can be grouped together in one request. | 
| Async Method | overwrite | 
    Undocumented | 
| Async Method | read | 
    Undocumented | 
| Method | resolved | 
    Undocumented | 
| Async Method | schema | 
    Returns the schema for the data source | 
| Method | storage | 
    Undocumented | 
| Async Method | to | 
    Undocumented | 
| Async Method | upsert | 
    Undocumented | 
| Async Method | write | 
    Undocumented | 
| Async Method | write | 
    Undocumented | 
| Class Variable | azure | 
    Undocumented | 
| Class Variable | config | 
    Undocumented | 
| Class Variable | date | 
    Undocumented | 
| Class Variable | mapping | 
    Undocumented | 
| Class Variable | path | 
    Undocumented | 
| Class Variable | type | 
    Undocumented | 
              Inherited from CodableBatchDataSource:
            
| Property | as | 
    Undocumented | 
| Class Method | _deserialize | 
    Undocumented | 
| Method | _serialize | 
    Undocumented | 
              Inherited from BatchDataSource (via CodableBatchDataSource):
            
| Method | all | 
    Undocumented | 
| Method | all | 
    Undocumented | 
| Method | depends | 
    Undocumented | 
| Method | features | 
    Undocumented | 
| Method | filter | 
    Undocumented | 
| Async Method | freshness | 
    .table("my_table") .freshness() | 
| Method | location | 
    Undocumented | 
| Method | needed | 
    Undocumented | 
| Method | source | 
    An id that identifies a source from others. | 
| Method | tags | 
    Undocumented | 
| Method | transform | 
    Undocumented | 
| Method | with | 
    Undocumented | 
| Method | with | 
    Undocumented | 
              Inherited from ColumnFeatureMappable (via CodableBatchDataSource, BatchDataSource):
            
| Method | columns | 
    Undocumented | 
| Method | feature | 
    Undocumented | 
| Method | with | 
    Undocumented | 
              Inherited from DataFileReference (via CodableBatchDataSource, BatchDataSource, ColumnFeatureMappable):
            
| Async Method | to | 
    Undocumented | 
| Async Method | to | 
    Undocumented | 
RetrievalJob, requests: list[ tuple[ DeltaFileSource,  RetrievalRequest]]) -> RetrievalJob:
    
      
      (source)
    
    
      
      
      ¶
    
  Undocumented
RetrievalRequest, start_date: datetime, end_date: datetime) -> RetrievalJob:
    
      
      (source)
    
    
      
      
      ¶
    
  Undocumented
Setup the code needed to represent the data source as a feature view
```python FileSource.parquet("my_path.parquet").feature_view_code(view_name="my_view")
>>> """from aligned import FeatureView, String, Int64, Float
class MyView(FeatureView):
- metadata = FeatureView.metadata_with(
 - name="Embarked", description="some description", batch_source=FileSource.parquest("my_path.parquet") stream_source=None,
 )
Passenger_id = Int64() Survived = Int64() Pclass = Int64() Name = String() Sex = String() Age = Float() Sibsp = Int64() Parch = Int64() Ticket = String() Fare = Float() Cabin = String() Embarked = String()"""
```
- Returns:
 - str: The code needed to setup a basic feature view
 
RetrievalJob, request: RetrievalRequest, predicate: Expression | None = None):
    
      
      (source)
    
    
      
      
      ¶
    
  Undocumented
Returns the schema for the data source
`python source = FileSource.parquet_at('test_data/titanic.parquet') schema = await source.schema() >>> {'passenger_id': FeatureType(name='int64'), ...} `
- Returns:
 - dict[str, FeatureType]: A dictionary containing the column name and the feature type