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इस पेज तक पहुँच के लिए प्रमाणन की आवश्यकता होती है. आप निर्देशिकाओं को बदलने का प्रयास कर सकते हैं.
March 27 - April 2, 2025
These features and improvements were released with the 2025.12 release of DLT.
Databricks Runtime versions used by this release
Channel:
- CURRENT (default): Databricks Runtime 15.4
- PREVIEW: Databricks Runtime 15.4 or 16.1
Note
Because DLT 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
CREATE PRIVATE { MATERIALIZED VIEW | STREAMING TABLE }is now supported in Lakeflow Spark Declarative Pipelines. Use thePRIVATEparameter to create materialized views or streaming tables without publishing them to a catalog. To learn more, see CREATE STREAMING TABLE (pipelines) and CREATE MATERIALIZED VIEW (pipelines).- You can now use
CREATE TEMPORARY VIEWin Lakeflow Spark Declarative Pipelines to create a view that is only persisted within the pipeline. To learn more, see CREATE VIEW (pipelines). - Improved the INITIALIZING performance for pipeline updates.
Bug fixes
- This release fixes an uncommon issue where Hive metastore streaming checkpoints are stored and read from the DBFS root instead of the location specified by the user.
- This release fixes an issue where an event hook fails to make forward progress.