REPLACE USING Flows Now in Beta for Databricks Streaming Tables
Databricks has introduced REPLACE USING flows in Beta for standalone streaming tables, simplifying data ingestion from partial snapshots. These flows replace rows based on specified key columns and a sequence, ensuring the highest sequence always wins, even with out-of-order updates. This functionality eliminates the need for change data capture feeds with explicit operations or a primary key, streamlining data processing workflows. It is particularly useful for engineers managing streaming data updates.
Features (1) ›
- REPLACE USING flows for standalone streaming tables
REPLACE USING flows are now available in Beta, allowing users to process partial snapshots keyed by column more efficiently. The flow replaces matching rows based on key columns and an ordering `SEQUENCE BY` column, simplifying data updates without requiring a change data capture feed or a primary key.
https://docs.databricks.com/aws/en/release-notes/product/2026/august#replace-using-flows-for-standalone-streaming-tables-beta
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