I am working on a realtime application using spark structured streaming (v 2.2.1). The application reads data from kafka and if there is a failure, I would like to ignore the checkpoint. Is there any configuration to just read from last kafka offset after a failure and ignore any offset checkpoints ?
Also, I believe that the checkpoint also saves state and will continue to aggregations after recovery. Is there any way to ignore checkpointed state ?
Also, is there a way to selectively save state or offset checkpoint only ?