BackGround
Doris Stream is a core feature designed to break through the bottleneck of full-table computation in traditional ETL and to unify stream and batch processing. By introducing the concept of Table Stream, it effectively tracks row-level data changes (inserts, deletes, updates) on source tables, enabling downstream tasks to perform incremental computation only on the changed data. This significantly boosts data processing efficiency, cuts compute resource consumption, and dramatically reduces the latency from data ingestion to analytics — providing powerful engine-level support for building near-real-time data warehouses.
This is the Bug Tracking link. All issues will be listed in this link.
Bug List
BackGround
Doris Stream is a core feature designed to break through the bottleneck of full-table computation in traditional ETL and to unify stream and batch processing. By introducing the concept of Table Stream, it effectively tracks row-level data changes (inserts, deletes, updates) on source tables, enabling downstream tasks to perform incremental computation only on the changed data. This significantly boosts data processing efficiency, cuts compute resource consumption, and dramatically reduces the latency from data ingestion to analytics — providing powerful engine-level support for building near-real-time data warehouses.
This is the Bug Tracking link. All issues will be listed in this link.
Bug List