This error usually stems from delays in initializing the Python REPL due to factors like misconfigured dependencies, system-level command execution issues, or resource constraints on the cluster.
This could be caused due incompatible or missing Python libraries , heavy cluster workloads (Like extensive memory utilisation), or startup commands (like chmod or chown) hanging unexpectedly.
To resolve this, ensure your dependencies match the Databricks Runtime version, particularly if using GPUs or custom libraries.
Also, check if the cluster has sufficient resources and avoid overloading it with high concurrency at startup.
Additionally, verify that the driver is responsive and that there are no network issues or custom init scripts blocking access to package sources.
If everything else is in place, increasing the REPL startup timeout in the cluster configuration may help accommodate slower setups.
Checking cluster driver logs will often point to the specific reason behind the delay(Additionally, checking the Cluster driver Metrics also helps).