Hi Dillon,I do think that there is a setting available where in once YARN sets up the containers then you do not deallocate them, I had used it previously in HIVE, and it just saves processing time in terms of allocating containers. That said I am still trying to understand how do we determine one YARN container = one executor in SPARK.Regards,GouravOn Tue, Oct 9, 2018 at 9:04 PM Dillon Dukek <email@example.com> wrote:I'm still not sure exactly what you are meaning by saying that you have 6 yarn containers. Yarn should just be aware of the total available resources in your cluster and then be able to launch containers based on the executor requirements you set when you submit your job. If you can, I think it would be helpful to send me the command you're using to launch your spark process. You should also be able to use the logs and/or the spark UI to determine how many executors are running.On Tue, Oct 9, 2018 at 12:57 PM Gourav Sengupta <firstname.lastname@example.org> wrote:hi,may be I am not quite clear in my head on this one. But how do we know that 1 yarn container = 1 executor?Regards,Gourav SenguptaOn Tue, Oct 9, 2018 at 8:53 PM Dillon Dukek <email@example.com> wrote:Can you send how you are launching your streaming process? Also what environment is this cluster running in (EMR, GCP, self managed, etc)?On Tue, Oct 9, 2018 at 10:21 AM kant kodali <firstname.lastname@example.org> wrote:Hi All,I am using Spark 2.3.1 and using YARN as a cluster manager.I currently got1) 6 YARN containers(executors=6) with 4 executor cores for each container.2) 6 Kafka partitions from one topic.3) You can assume every other configuration is set to whatever the default values are.Spawned a Simple Streaming Query and I see all the tasks get scheduled on one YARN container. am I missing any config?Thanks!