Databricks 403 error
Databricks 403 error
A 403 error in Databricks typically indicates that you don’t have the necessary permissions to access a particular resource or perform an action. This could happen due to various reasons:
Common Causes and Solutions:
- Incorrect or Insufficient Permissions:
- Ensure that your user account or service principal has the required permissions to access the Databricks workspace, cluster, or specific resources within the workspace.
- Contact your Databricks administrator to review and adjust your permissions as needed.
- IP Access List Restrictions:
- Check if your Databricks workspace has an IP access list configured. If so, ensure your IP address is included in the allowed list.
- If you’re accessing Databricks through a VPN or proxy, ensure the traffic is routed through the correct channels.
- Authentication Issues:
- If you’re using personal access tokens or API tokens, double-check that they are valid and have not expired.
- If you’re using Azure Active Directory (AAD) authentication, verify that your AAD account has the necessary permissions in Databricks.
- Cluster or Workspace Configuration:
- If the 403 error occurs when accessing a specific cluster, review the cluster’s configuration and permissions.
- Ensure that the cluster is running and you have the appropriate access rights.
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