How to Use Glow on Databricks Community Edition

Try Glow on Databricks for free with Databricks Community Edition.

Step 1: Sign up for Community Edition

Sign up for a free Databricks trial with Databricks Community Edition.

  1. Fill out the Databricks free trial form and click “Sign Up”.

  2. In the “Community Edition” section, click “Get Started”.

  3. Click the “Get Started” link in your “Welcome to Databricks” verification email.

  4. Set your password and click “Reset password”. You will be redirected to your Databricks Community Edition workspace.

Step 2: Import Glow notebooks

Import the Glow demonstration notebooks to your Databricks Community Edition workspace.

Import demo notebooks
  1. Log into your Databricks Community Edition workspace.

  2. Download the desired Glow notebooks, such as the GloWGR demo.

  3. Click the Workspace button in the left sidebar of your workspace.

  4. In your user folder, right-click and select “Import”.

  5. Select “Import from file”, select the downloaded notebook, and click “Import”.

Step 3: Create a cluster

Create the cluster shortly before you run the notebooks; the cluster will be automatically terminated after an idle period of 2 hours.

  1. Log into your Databricks Community Edition workspace.

  2. Click the Clusters button in the left sidebar of your workspace.

  3. Set the “Cluster Name” as desired.

  4. Click “Create Cluster”.

  5. Refresh the page to see your new cluster in the list.

Step 4: Attach cluster-scoped libraries

Install libraries to a cluster in order to run third-party code.

Attach MLflow to the cluster
  1. Log into your Databricks Community Edition workspace.

  2. Click the Clusters button in the left sidebar of your workspace.

  3. Click an existing cluster.

  4. Select the “Libraries” tab.

  5. Click “Install New.”

  6. Set the Library Source to maven and the Coordinates to io.projectglow:glow-spark3_2.12:${version}. Click “Install”.

  7. Set the Library Source to PyPi and the Package to glow.py. Click “Install”.