Effective in version 10.2.2, you can run an incremental load to ingest incremental data. When you run an incremental load, the Spark engine fetches incremental data based on a timestamp or an ID column and loads the incremental data to the Hive or HDFS target. If you ingest the data to a Hive target, the Spark engine can also propagate the schema changes that have been made on the source tables.