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इस पेज तक पहुँच के लिए प्रमाणन की आवश्यकता होती है. आप निर्देशिकाओं को बदलने का प्रयास कर सकते हैं.
July 23 - 30, 2025
These features and improvements were released with the 2025.30 release of Lakeflow Spark Declarative Pipelines.
Databricks Runtime versions used by this release
Channel:
- CURRENT (default): Databricks Runtime 16.1
- PREVIEW: Databricks Runtime 16.4
Note
Because Lakeflow Spark Declarative Pipelines channel releases follow a rolling upgrade process, channel upgrades are deployed to different regions at different times. Your release, including Databricks Runtime versions, might not be updated until a week or more after the initial release date. To find the Databricks Runtime version for a pipeline, see Runtime information.
New features and improvements
We’ve added the following new capabilities to AUTO CDC APIs in Lakeflow Spark Declarative Pipelines.
Multiple flows per target: The create_auto_cdc_flow command now supports a name parameter, allowing multiple independent AUTO CDC flows to write into the same destination table. This enables scenarios like applying both incremental updates and correction streams to a single table.
One-time backfills: A new once parameter supports one-time backfill operations (e.g., initial hydrations). When once = true, the flow ingests a snapshot of data a single time and ignores future file arrivals.
SQL support: New CREATE FLOW SQL syntax allows you to use AUTO CDC INTO directly in SQL, with the same support for name and once.
The Lakeflow Editor now supports on-demand cluster connect + cluster keep-alive triggered by user activity.