Hey @ankit001mittal 

The detail `{"flow_progress":{"metrics":{"executor_time_ms":9004,"executor_cpu_time_ms":3248}}}` belongs to the event_type - cluster resources. It might be representing how much time an executor in the cluster might have taken to finish the task assigned to it. I wouldn't use this time to calculate the overall time taken to execute the table. 

Depending on your cluster size, your table execution would've been divided into numerous tasks in the spark job abd submitted to the executors, it would be hard to collate which executor is taking care of which table.