Installing Maven library on Databricks via Python commands and dbutils

Question

On Databricks I would like to install a Maven library through commands in a Python Notebook if its not already installed.

If it were a Python PyPI library I would do something like the following:

# Get a list of all available library 
library_name_list = dbutils.library.list()
# Suppose the library of interest was "scikit-learn"
if "scikit-learn" not in library_name_list:
  # Install the library 
  dbutils.library.installPyPI("scikit-learn")

How can I do the same for a Maven library "com.microsoft.azure.kusto:spark-kusto-connector:2.0.0" i.e. check if it is already installed, if not then install?

I can install the Maven library using the UI by going to "Clusters" -> "Libraries" -> "Install New" -> "Maven". But I would like to do it programmatically through a script.

Answer 1

Note: Library utilities (dbutils.library.installPyPI("")) allow you to install Python libraries and create an environment scoped to a notebook session.

Here are the steps to programmatically way to install libraries from the maven repository:

You can use Databricks CLI to install maven libraries in Azure Databricks.

Step1: From maven coordinates, you can go to Maven Repository and pick the version which you are looking for and note the dependency (groupId, artifactId, and Version).

Step2 Get the cluster-ID using databricks CLI.

To get the cluster-ID: databricks clusters list

Step3: Use the below Databricks CLI command to install 'com.microsoft.azure.kusto:spark-kusto-connector:2.0.0' in Databricks.

Syntax: databricks libraries install --cluster-id "Cluster ID" --maven-coordinates "GroupId:ArtifactId:Version" (i.e.org.jsoup:jsoup:1.7.2)

To install the maven library using databricks CLI: databricks libraries install --cluster-id "1013-095611-mazes551" --maven-coordinates "com.microsoft.azure.kusto:spark-kusto-connector:2.0.0"

To check the install libraries on the cluster: databricks libraries list --cluster-id "1013-095611-mazes551"

For different methods to install packages in Azure Databricks, refer: How to install a library on a databricks cluster using some command in the notebook?