Data Engineering Integration
- Data Engineering Integration 10.4.0
- All Products
The name of the source table that is ingested.
The ingestion status of the source table. The status might display Completed, Failed, Running, Canceled, Queued, Unknown, or Working.
The run-time engine in the Hadoop environment that performs the ingestion job. The run-time engine is Spark.
The time that the ingestion job for the source table is initiated.
The time that the ingestion job for the source table is completed.
The statistics for the table rows that are from the source database. You can view the number of rows that were ingested successfully and the number of rows that contain errors.
Details that describe the incremental data that was ingested. The details appear if the Spark engine used an incremental load to ingest the data. You can view the name of the column that the Spark engine used to fetch incremental data in the source table and the start value that determines the value that the Spark engine used to start ingesting the incremental data.
For example, if the incremental key is an ID column and the start value is 2500, the Spark engine ingested the rows that have an ID of 2500 or higher.
The statistics for the table rows that are ingested in the target. You can view the number of rows that were ingested successfully and the number of rows that contain errors.