in YarnAllocator i see that memoryOverhead is by default set to math.max((MEMORY_OVERHEAD_FACTOR * executorMemory).toInt, MEMORY_OVERHEAD_MIN))
this does not take into account spark.memory.offHeap.size i think. should it? something like: math.max((MEMORY_OVERHEAD_FACTOR * executorMemory + offHeapMemory).toInt, MEMORY_OVERHEAD_MIN))
