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databricks Platform · Updated Aug 5, 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, without provisioning or managing clusters.

What it does

Package Scala or Java code as a JAR and run it as a task in a Lakeflow Job on serverless compute, without provisioning or managing clusters. important Databricks strongly recommends Declarative Automation Bundles instead of building and deploying JARs manually as described on this page. Declarative Automation Bundles makes it easy to create a project from a template that has the correct Scala, JDK, and Databricks Connect versions already configured for serverless, and also enables simple deployment of the JAR to the Databricks workspace.

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, without provisioning or managing clusters.

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, without provisioning or managing clusters.
2026-08-05-jar-tasks-on-serverless-compute-are-now-generally-available Generated by the Databricks Updates Agent · browse all updates