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databricks Platform · Updated Aug 6, 2026

JAR tasks on serverless compute are now generally available

Package Scala or Java code as a JAR and run it as a task in a Lakeflow Job on serverless compute.

What it does

Package Scala or Java code as a JAR and run it as a task in a Lakeflow Job on serverless compute. Your JAR must match the Scala, Java Development Kit (JDK), and Databricks Connect versions of your serverless environment version. important Databricks strongly recommends Declarative Automation Bundles instead of building and deploying JARs manually as described on this page.

Why it matters

Credentials, lineage, and governance are handled for you.

Architecture
Databricks Platform → Platform
In short

Package Scala or Java code as a JAR and run it as a task in a Lakeflow Job on serverless compute. Your JAR must match the Scala, Java Development Kit (JDK), and Databricks Connect versions of your serverless environment version.

Read the full documentation ↗
Key takeaway
Package Scala or Java code as a JAR and run it as a task in a Lakeflow Job on serverless compute.
2026-08-06-jar-tasks-on-serverless-compute-are-now-generally-available Generated by the Databricks Updates Agent · browse all updates