run-clustering

You can automate Hudi or Iceberg clustering demos on minikube by executing the run_clustering command, which handles interactive configuration, live progress reporting, and outcome verification.

Hudi clustering procedures in a local environment require a running minikube cluster with the Quanton operator installed to support the automated scheduling and execution workflow.

Yes, minikube supports both Hudi and Iceberg clustering operations, allowing you to interactively choose to run Hudi, Iceberg, or both for your clustering demo verification.

To schedule and execute clustering using specific ordering columns, pass the region and timestamp parameters to the run_clustering command, triggering the procedure with your specified sort order.

Yes, you can clean up resources after running an Iceberg clustering demo, as the execution flow includes an optional cleanup step to remove temporary resources provisioned during the procedure.

Hudi clustering demos on minikube fail if the Quanton operator is not installed on the cluster, or if the minikube instance is not running properly when the clustering command is executed.