What causes INTERNAL_ERROR?

Transient Databricks control plane issue. Cloud provider (AWS/Azure/GCP) infrastructure fault. The cluster was terminated by the cloud provider unexpectedly. A cluster termination code (e.g. COMMUNICATION_LOST) caused the job to fail

How do I fix INTERNAL_ERROR?

Check the Databricks status page for active incidents in your region. Open the cluster event log to find the cluster termination reason. Retry the run — INTERNAL_ERROR is often transient and resolves on retry. If it recurs, check for underlying termination codes like COMMUNICATION_LOST or SPOT_INSTANCE_TERMINATION. Contact Databricks support with the run ID and cluster ID if retries continue to fail

High severityjob

Power BI Refresh Error:
INTERNAL_ERROR

What does this error mean?

The Databricks platform encountered an unexpected internal error. This is not caused by user code — it indicates a fault in the Databricks infrastructure or control plane.

Common causes

1Transient Databricks control plane issue
2Cloud provider (AWS/Azure/GCP) infrastructure fault
3The cluster was terminated by the cloud provider unexpectedly
4A cluster termination code (e.g. COMMUNICATION_LOST) caused the job to fail

How to fix it

1Check the Databricks status page for active incidents in your region
2Open the cluster event log to find the cluster termination reason
3Retry the run — INTERNAL_ERROR is often transient and resolves on retry
4If it recurs, check for underlying termination codes like COMMUNICATION_LOST or SPOT_INSTANCE_TERMINATION
5Contact Databricks support with the run ID and cluster ID if retries continue to fail

Frequently asked questions

Should I report INTERNAL_ERROR to Databricks?

If it recurs on the same job after multiple retries, yes. Include the run ID, cluster ID, and the cluster termination error code from the event log.

Is INTERNAL_ERROR always a Databricks bug?

Not always — the underlying cause is often a cluster termination code like SPOT_INSTANCE_TERMINATION or COMMUNICATION_LOST, which can be caused by cloud provider or network issues.