Github user skonto commented on a diff in the pull request: https://github.com/apache/spark/pull/19510#discussion_r145389586 --- Diff: resource-managers/mesos/src/main/scala/org/apache/spark/scheduler/cluster/mesos/MesosCoarseGrainedSchedulerBackend.scala --- @@ -64,6 +64,7 @@ private[spark] class MesosCoarseGrainedSchedulerBackend( private val MAX_SLAVE_FAILURES = 2 private val maxCoresOption = conf.getOption("spark.cores.max").map(_.toInt) + private val maxMemOption = conf.getOption("spark.mem.max").map(Utils.memoryStringToMb) --- End diff -- Can we defend against minimum values? For example default executor memory is 1.4MB. We could calculate the value returned by MesosSchedulerUtils.executorMemory. I don't think these values calculated in canLaunchTask ever change.
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