LegacyBatchDefinition
class great_expectations.core.batch.LegacyBatchDefinition(datasource_name: str, data_connector_name: str, data_asset_name: str, batch_identifiers: IDDict, batch_spec_passthrough: dict | None = None, batching_regex: re.Pattern | None = None)#
Precisely identifies a set of data from a data source.
More concretely, a BatchDefinition includes all the information required to precisely identify a set of data from the external data source that should be translated into a Batch. One or more BatchDefinitions should always be returned from the Datasource, as a result of processing the Batch Request.
- Relevant Documentation Links
- Parameters:
datasource_name – name of the Datasource used to connect to the data
data_connector_name – name of the DataConnector used to connect to the data
data_asset_name – name of the DataAsset used to connect to the data
batch_identifiers – key-value pairs that the DataConnector will use to obtain a specific set of data
batch_spec_passthrough – a dictionary of additional parameters that the ExecutionEngine will use to obtain a specific set of data
- Returns:
BatchDefinition
- to_json_dict() dict[str, JSONValues]#
Returns a JSON-serializable dict representation of this BatchDefinition.
- Returns:
A JSON-serializable dict representation of this BatchDefinition.