databricks Platform · Updated Nov 3, 2025

JAR tasks are now supported on serverless compute

You can now run JAR jobs on serverless compute.

What it does

You can now run JAR jobs on serverless compute. Use the JAR task to deploy Scala or Java code compiled into a JAR (Java ARchive). Before you create a JAR task, see Create a Databricks compatible JAR for build requirements and limitations.

Why it matters

Reduces operational overhead and unlocks new capabilities for data teams on Databricks.

Key capabilities

You can select an existing

You can select an existing JAR file or upload a new JAR file.

Not all locations support JAR

Not all locations support JAR files.

Not all compute configurations support

Not all compute configurations support JAR files in all supported locations.

Each Library Source has a

Each Library Source has a different flow for selecting or uploading a JAR file. See Install libraries. For serverless compute…

Architecture

Databricks Platform → Platform

In short

You can now run JAR jobs on serverless compute. Use the JAR task to deploy Scala or Java code compiled into a JAR (Java ARchive).

Read the full documentation ↗

Key takeaway

You can now run JAR jobs on serverless compute.

2025-11-03-jar-tasks-are-now-supported-on-serverless-compute Generated by the Databricks Updates Agent · browse all updates