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11-09-2023 11:54 AM
The error you are encountering indicates that there is an issue with establishing a connection to the Databricks host specified in your code. Specifically, the error message "getaddrinfo failed" suggests that the hostname or IP address you provided for the Databricks host cannot be resolved.
Here are a few things you can check and address:
Host Name: Ensure that you have provided the correct Databricks host name in the DatabricksAPI initialization. It should be in the format https://<your-databricks-instance>.cloud.databricks.com. Make sure there are no typos or mistakes in the host name.
Network Connectivity: Ensure that your Python environment can access the Databricks host. Check if your system can reach the Databricks host over the network. You can test this by opening a web browser and trying to access the Databricks host's URL.
Firewalls and Network Restrictions: If you are running the code on a corporate network or behind a firewall, there may be network restrictions that prevent your Python environment from connecting to external hosts. Check if any firewall or proxy settings are blocking the connection.
Proxy Settings: If your network requires a proxy to access external resources, make sure your Python environment is configured with the correct proxy settings. You can configure proxy settings in Python using the HTTP_PROXY and HTTPS_PROXY environment variables.
Token: Ensure that you have provided a valid Databricks access token. If the token is incorrect or expired, it can also lead to connection issues.
Databricks Instance Status: Verify that your Databricks instance is up and running without any issues. Sometimes, temporary outages or maintenance can affect the availability of Databricks services.
API Version: Make sure you are using a compatible version of the databricks_api library with your Databricks instance. Check for library updates if necessary.
By addressing these points, you should be able to resolve the issue and successfully establish a connection to your Databricks host from your Python code.
