dongjoon-hyun commented on issue #24131: [SPARK-27192][Core] spark.task.cpus should be less or equal than spark.executor.cores URL: https://github.com/apache/spark/pull/24131#issuecomment-478299057 @liutang123 . Could you check the following tests and make another PR please? - org.apache.spark.BarrierStageOnSubmittedSuite.submit a barrier ResultStage that requires more slots than current total under local-cluster mode - org.apache.spark.BarrierStageOnSubmittedSuite.submit a barrier ShuffleMapStage that requires more slots than current total under local-cluster mode - org.apache.spark.scheduler.CoarseGrainedSchedulerBackendSuite.compute max number of concurrent tasks can be launched when spark.task.cpus > 1 - org.apache.spark.scheduler.CoarseGrainedSchedulerBackendSuite.compute max number of concurrent tasks can be launched when some executors are busy - org.apache.spark.scheduler.TaskSchedulerImplSuite.Scheduler correctly accounts for multiple CPUs per task - org.apache.spark.scheduler.TaskSchedulerImplSuite.Scheduler does not crash when tasks are not serializable - org.apache.spark.scheduler.TaskSchedulerImplSuite.don't schedule for a barrier taskSet if available slots are less than pending tasks - org.apache.spark.scheduler.TaskSchedulerImplSuite.schedule tasks for a barrier taskSet if all tasks can be launched together
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