databricks / databricks-dbutils-scala   0.1.4


The Scala SDK for Databricks.

Scala versions: 2.13 2.12

Databricks Utilities (DBUtils) for Scala

Stability: Experimental

The Databricks Utilities for Scala includes functionality to accelerate development with Scala for the Databricks Lakehouse.

The Databricks Utilities for Scala library is implemented mostly using the core of the SDK for Java. Consult that repository's README for information on authentication, logging, and how to make requests directly to the Databricks REST API.


Getting started

You can install Databricks Utilities for Scala by adding the following to your pom.xml:


Get an instance of DBUtils by calling DBUtils.getDBUtils().

import com.databricks.sdk.scala.dbutils.DBUtils

object App {
   final def main(args: Array[String]): Unit = {
      DBUtils dbutils = DBUtils.getDBUtils()

This code is now portable and can be run both within Databricks Runtime and in applications outside of Databricks Runtime. When this code is run in Databricks Runtime, the returned DBUtils instance proxies all function calls to the DBUtils instance provided by Databricks Runtime. When this code is run outside of Databricks Runtime, DBUtils uses the REST API to emulate the behavior of DBUtils within Databricks Runtime, providing a consistent interface for users to build applications that can run within and outside of Databricks Runtime.

Migrating to DBUtils

Migrating from a Databricks notebook

In Databricks notebooks, DBUtils is provided as a built-in and is automatically available for users. To make notebook code using DBUtils portable with this library, add the following code in your notebook:

import com.databricks.sdk.scala.dbutils.DBUtils
val dbutils = DBUtils.getDBUtils()

If you have imported any types from DBUtils, change the package of those types to com.databricks.sdk.scala.dbutils.

Migrating from DBConnect version 1

In DBConnect version 1, the DBUtils interface was exposed as com.databricks.service.DBUtils. Add the following code to your application:

import com.databricks.sdk.scala.dbutils.DBUtils
val dbutils = DBUtils.getDBUtils()

and replace usages of DBUtils with dbutils.

Additionally, if you have imported any types from com.databricks.service, replace those imports with com.databricks.sdk.scala.dbutils.

Limitations when running outside of Databricks Runtime

The DBUtils interface provides many convenient utilities for interacting with Databricks APIs, notebooks and Databricks Runtime. When run outside of Databricks Runtime, some of these utilities are less useful. The limitations of the version of DBUtils returned by DBUtils.getDBUtils() in this case are as follows:

  • Only fs and secrets components of DBUtils are supported. Other fields will throw an exception if accessed.
  • Within fs, the mounting methods (mount, updateMount, refreshMounts, mounts, and unmount) are not implemented and will throw an exception if called.
  • Within fs, the caching methods (cacheTable, cacheFiles, uncacheTable, and uncacheFiles) are not implemented and will throw an exception if called.
  • help() methods are not implemented.

Interface stability

During the Experimental period, Databricks is actively working on stabilizing the Databricks Utilities for Scala's interfaces. You are highly encouraged to pin the exact dependency version and read the changelog where Databricks documents the changes. Databricks may have minor documented backward-incompatible changes, such as renaming the methods or some type names to bring more consistency.


  • The product is in preview and not intended to be used in production;
  • The product may change or may never be released;
  • While we will not charge separately for this product right now, we may charge for it in the future. You will still incur charges for DBUs.
  • There's no formal support or SLAs for the preview - so please reach out to your account or other contact with any questions or feedback; and
  • We may terminate the preview or your access at any time.