Hi, In spark, there are two settings regarding number of cores, one is at task level :spark.task.cpus
and there is another one, which drives number of cores per executors: spark.executor.cores Apart from using more than one core for a task which has to call some other external API etc, is there any other use case / benefit of assigning more than one core to a task? As per the code, I can only see this being used while scheduling etc , as such RDD partitions etc remains untouched from this setting. Does this mean that coder needs to take care of coding the application logic to take care of this setting? ( which again let me think over this setting ). Comments please. Thanks, Twinkle
