Ngone51 commented on a change in pull request #30175:
URL: https://github.com/apache/spark/pull/30175#discussion_r579316690
##########
File path:
sql/core/src/main/scala/org/apache/spark/sql/execution/streaming/continuous/EpochCoordinator.scala
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@@ -267,4 +268,23 @@ private[continuous] class EpochCoordinator(
queryWritesStopped = true
context.reply(())
}
+
+ private def checkTotalCores(): Unit = {
+ val INSTRUCTION_FOR_FEWER_CORES =
+ """
+ |Total %s (kafka partitions) * %s (cpus per task) = %s needed,
+ |but only have %s (executors) * %s (cores per executor) = %s (total
cores).
+ |Please increase total number of executor cores to at least %s.
+ """.stripMargin
+ val numExecutors = session.conf.get("spark.executor.instances", "1").toInt
Review comment:
This's not always valid for all cluster managers. For example, the
number of executors may be decided by the `spark.cores.max` in Standalone.
We can get the number of executors by `BlockManagerMaster.getPeers()`.
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