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databricks Platform · Updated Apr 2, 2026

Databricks Runtime 18: April 2, 2026

Improved error handling for queries writing data to Delta tables that contain a VOID (NullType) column inside a user defined type (UDT).

What it does

Improved error handling for queries writing data to Delta tables that contain a VOID (NullType) column inside a user defined type (UDT). JDBC streaming sink connections now apply a 30 second socket timeout, retry logic with exponential backoff for transient errors (connection failures, deadlocks, rate limiting), and graceful rollback on broken connections. Fixed SQL text corruption that occurred when using Unicode characters in parameterized queries.

Why it matters

Improved error handling for queries writing data to Delta tables that contain a VOID (NullType) column inside a user defined type (UDT).

Architecture
Databricks Platform → Platform
In short

Improved error handling for queries writing data to Delta tables that contain a VOID (NullType) column inside a user defined type (UDT). JDBC streaming sink connections now apply a 30 second socket timeout, retry logic with exponential backoff for transient…

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Key takeaway
Improved error handling for queries writing data to Delta tables that contain a VOID (NullType) column inside a user defined type (UDT).
2026-04-02-databricks-runtime-18-april-2-2026 Generated by the Databricks Updates Agent · browse all updates