RuntimeDataConnector
- class great_expectations.datasource.data_connector.RuntimeDataConnector(name: str, datasource_name: str, execution_engine: great_expectations.execution_engine.execution_engine.ExecutionEngine, batch_identifiers: Optional[list] = None, batch_spec_passthrough: Optional[dict] = None, assets: Optional[dict] = None, id: Optional[str] = None)#
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A Data Connector that allows users to specify a Batch’s data directly using a Runtime Batch Request.
A Runtime Batch Request contains either an in-memory Pandas or Spark DataFrame, a filesystem or S3 path, or an arbitrary SQL query.
- Parameters
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name – The name of the Data Connector.
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datasource_name – The name of this Data Connector’s Datasource.
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execution_engine – The Execution Engine object to used by this Data Connector to read the data.
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batch_identifiers – A list of keys that must be defined in the batch identifiers dict of the Runtime Batch Request.
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batch_spec_passthrough – Dictionary with keys that will be added directly to the batch spec.
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id – The unique identifier for this Data Connector used when running in cloud mode.
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- get_available_data_asset_names() List[str] #
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Returns a list of data_assets that are both defined at runtime, and defined in DataConnector configuration