Delta Lake UniForm for Iceberg is in public previewĭelta Lake Universal Format (UniForm) allows you to read Delta tables with Iceberg clients. See User-defined functions (UDFs) in Unity Catalog.

You can now declare user-defined functions using Python within SQL CREATE FUNCTION statements in Unity Catalog. See Vacuum and Unity Catalog shallow clones. Running VACUUM on the source of a shallow clone does not break the cloned table. When you use Unity Catalog managed tables for the source and target of a shallow clone operation, Unity Catalog manages the underlying data files to improve reliability for the source and target of the clone operation. Enhanced reliability for VACUUM with shallow clone in Unity Catalog. Databricks recommends enabling changelog checkpointing for all Structured Streaming stateful queries. You can enable changelog checkpointing to lower checkpoint duration and end-to-end latency for stateful Structured Streaming workloads. Unity Catalog support for Python and Pandas User-Defined Functions (UDFs)Ĭhangelog checkpointing for RocksDB state store.Delta Lake liquid clustering is in public preview.Delta Lake UniForm for Iceberg is in public preview.Enhanced reliability for VACUUM with shallow clone in Unity Catalog.Changelog checkpointing for RocksDB state store.

The following release notes provide information about Databricks Runtime 13.2, powered by Apache Spark 3.4.0.ĭatabricks released these images in July 2023.

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