aligned.sources.azure_blob_storage.AzureBlobParquetDataSource

class documentation

class AzureBlobParquetDataSource(CodableBatchDataSource, DataFileReference, ColumnFeatureMappable, AzureConfigurable): (source)

View In Hierarchy

Undocumented

Class Method	`multi_source_features_for`	Undocumented
Method	`__hash__`	Undocumented
Method	`all_between_dates`	Undocumented
Method	`all_data`	Undocumented
Method	`features_for`	Undocumented
Method	`job_group_key`	A key defining which sources can be grouped together in one request.
Async Method	`read_pandas`	Undocumented
Async Method	`schema`	Returns the schema for the data source
Async Method	`to_lazy_polars`	Undocumented
Method	`with_view`	Undocumented
Async Method	`write_pandas`	Undocumented
Async Method	`write_polars`	Undocumented
Class Variable	`config`	Undocumented
Class Variable	`date_formatter`	Undocumented
Class Variable	`mapping_keys`	Undocumented
Class Variable	`parquet_config`	Undocumented
Class Variable	`path`	Undocumented
Class Variable	`type_name`	Undocumented
Property	`storage`	Undocumented
Property	`to_markdown`	Undocumented

Inherited from CodableBatchDataSource:

Class Method	`_deserialize`	Undocumented
Method	`_serialize`	Undocumented

Inherited from BatchDataSource (via CodableBatchDataSource):

Method	`all`	Undocumented
Method	`all_columns`	Undocumented
Method	`depends_on`	Undocumented
Async Method	`feature_view_code`	Setup the code needed to represent the data source as a feature view
Method	`filter`	Undocumented
Async Method	`freshness`	.table("my_table") .freshness()
Method	`location_id`	Undocumented
Method	`source_id`	An id that identifies a source from others.
Method	`tags`	Undocumented
Method	`transform_with_polars`	Undocumented
Method	`with_loaded_at`	Undocumented

Inherited from ColumnFeatureMappable (via CodableBatchDataSource, BatchDataSource):

Method	`columns_for`	Undocumented
Method	`feature_identifier_for`	Undocumented
Method	`with_renames`	Undocumented

@classmethod
def multi_source_features_for(cls, facts: RetrivalJob, requests: list[tuple[AzureBlobParquetDataSource, RetrivalRequest]]) -> RetrivalJob: (source) ¶

overrides aligned.data_source.batch_data_source.BatchDataSource.multi_source_features_for

Undocumented

def __hash__(self) -> int: (source) ¶

overrides aligned.data_source.batch_data_source.BatchDataSource.__hash__

Undocumented

def all_between_dates(self, request: RetrivalRequest, start_date: datetime, end_date: datetime) -> RetrivalJob: (source) ¶

overrides aligned.data_source.batch_data_source.BatchDataSource.all_between_dates

Undocumented

def all_data(self, request: RetrivalRequest, limit: int | None) -> RetrivalJob: (source) ¶

overrides aligned.data_source.batch_data_source.BatchDataSource.all_data

Undocumented

def features_for(self, facts: RetrivalJob, request: RetrivalRequest) -> RetrivalJob: (source) ¶

overrides aligned.data_source.batch_data_source.BatchDataSource.features_for

Undocumented

def job_group_key(self) -> str: (source) ¶

overrides aligned.data_source.batch_data_source.BatchDataSource.job_group_key

A key defining which sources can be grouped together in one request.

async def read_pandas(self) -> pd.DataFrame: (source) ¶

Undocumented

async def schema(self) -> dict[str, FeatureType]: (source) ¶

overrides aligned.data_source.batch_data_source.BatchDataSource.schema

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'), ...} `