The EDS Load warehouseopenload is available as part of the EagleML modernization effort as a metadata driven interface. It uses dynamically generated SQL requests to load data based upon the incoming data. Only the populated fields are used to generate insert and update requests. The additional data models and database tables are supported for load and extract only via EDS interface. The incoming files are expected to have the elements aligned with the order of elements defined by the ontology. The default partition is supported with the initial implementation.
Effective Date Check. Use the correct date format and cannot be empty,
Update Source. Update source is a required field for load.
EDS load requires that incoming data files are valid by Eagle ML XSD validation (fields order should be correct). Incorrect fields order leads to missing column values in the DB.
In order to improve loading time, the load occurs via Dynamically generated SQL requests that involve only populated fields/tables from the incoming data file.