Databricks 404 error


               Databricks 404 error

The 404 error in Databricks typically means the resource you’re trying to access cannot be found. This could be due to several reasons:

Common Causes of Databricks 404 Errors:

  • Incorrect URL: Double-check that you’ve entered the correct URL for the notebook, cluster, or other resource you’re trying to access.
  • Deleted Resource: The resource might have been deleted. If you’re working with a team, confirm with your colleagues if anyone has removed the resource.
  • Permissions: You may not have the necessary permissions to view the resource. Verify your access rights with your Databricks administrator.
  • Temporary Glitch: Sometimes, the error could be a temporary issue with the Databricks platform. Try waiting a few minutes and then refreshing the page.
  • API Issues: If using the Databricks API, use the correct endpoint and authentication credentials.

Troubleshooting Steps:

  1. Verify the URL: Ensure you have the correct URL for the resource you want to access. Check for typos or incorrect paths.
  2. Check Resource Existence: Confirm whether the resource still exists in your Databricks workspace.
  3. Review Permissions: Ensure you have the required permissions to view the resource. If you need assistance, contact your Databricks administrator.
  4. Wait and Retry: If the error seems temporary, try waiting a few minutes and refresh the page.
  5. API Troubleshooting: If you’re using the Databricks API, double-check your API calls for errors in endpoints or authentication. For guidance, refer to the Databricks API documentation.

Additional Tips:

  • Clear Cache and Cookies: Clearing your browser’s cache and cookies can sometimes resolve temporary issues.
  • Community Resources: For further assistance, consult the Databricks community forums or documentation. There, you can often find discussions about similar issues and solutions.
  • Contact Databricks Support: If the error persists and you’ve exhausted other troubleshooting options, contact Databricks support for help.

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