viirya commented on a change in pull request #30175:
URL: https://github.com/apache/spark/pull/30175#discussion_r564842489
##########
File path:
sql/core/src/main/scala/org/apache/spark/sql/execution/streaming/continuous/EpochCoordinator.scala
##########
@@ -267,4 +275,16 @@ private[continuous] class EpochCoordinator(
queryWritesStopped = true
context.reply(())
}
+
+ private def checkTotalCores(): Unit = {
+ val numExecutors = session.conf.get("spark.executor.instances", "1").toInt
+ val coresPerExecutor = session.conf.get("spark.executor.cores", "1").toInt
+ val totalCores = numExecutors * coresPerExecutor
+ logDebug(s"Check total cores $totalCores and kafka partition number
$numReaderPartitions")
Review comment:
Don't we need to consider `spark.task.cpus`? I think the actual number
of tasks is decided by executor instance, cores and task cpus, right?
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