Integrating Git with Databricks enhances development workflows by simplifying code management and collaboration. This guide shows you how to set up Git integration with Bitbucket. It includes cloning repositories, syncing changes, and resolving issues. These will improve your coding experience.
Cloning Bitbucket Repository
1. Configure Git Integration in Databricks
Before pulling code from Bitbucket, ensure Databricks is connected to your Bitbucket repository.
Steps:
- In Databricks, go to User Settings:
- Click on your profile icon in the top-right corner.
- Navigate to the Git Integration tab.
- Select Bitbucket as the Git provider and authenticate:
- Use a personal access token from Bitbucket for authentication.
- To generate a token in Bitbucket:
- Go to Personal Settings > Access Management > Personal Access Tokens.
- Create a token with read/write repository permissions.
- Paste the token into Databricks Git Integration.
- Save the configuration.
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2. Clone the Bitbucket Repository
Once Git is configured, clone the Bitbucket repository to your Databricks workspace.
Steps:
- Open the Databricks Workspace:
- Navigate to the Repos tab on the left-hand menu.
- Create a New Repo:
- Click on Add Repo.
- Select Clone remote Git repository.
- Enter Repository URL:
- Copy the HTTPS URL of your Bitbucket repository.
- Paste it into Databricks.
- Authenticate:
- If prompted, provide the credentials or access token to authenticate with Bitbucket.
- Complete Cloning:
- Databricks will clone the repository, and the code appears in your workspace under the Repos section.
3. Work with the Imported Code
- After cloning, you can directly edit, run, and manage the code in Databricks.
- Databricks Repos allow syncing changes back to Bitbucket:
- Pull: Fetch updates from the Bitbucket repository.
- Commit & Push: Push your local changes back to the repository.
4. Troubleshooting
- Authentication Issues:
- Ensure the personal access token has the correct permissions.
- Reconfigure Git integration if the token expires.
- Access Denied:
- Confirm your Bitbucket repository permissions (read/write) are properly configured.
This workflow ensures smooth collaboration and synchronization between your Databricks environment and the Bitbucket repository.






