Why does vcore always equal the number of nodes in Spark on YARN?

Question

I have a Hadoop cluster with 5 nodes, each of which has 12 cores with 32GB memory. I use YARN as MapReduce framework, so I have the following settings with YARN:

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Answer 1

I was wondering the same but changing the resource-calculator worked for me.
This is how I set the property:

    
        yarn.scheduler.capacity.resource-calculator      
        org.apache.hadoop.yarn.util.resource.DominantResourceCalculator       
    

Check in the YARN UI in the application how many containers and vcores are assigned, with the change the number of containers should be executors+1 and the vcores should be: (executor-cores*num-executors) +1.