Hi all, If we schedule a spark job on k8s, how are volume mappings handled?
In client mode I would expect that drivers volumes have to mapped manually in the pod template. Executor volumes are attached dynamically based on submit parameters. Right...? I cluster mode I would expect that volumes for drivers/executors are taken from submit command and attached to the pods accordingly. Right...? Any hints appreciated, Best, Meikel
