xieshuaihu commented on code in PR #46278:
URL: https://github.com/apache/spark/pull/46278#discussion_r1582847360
##########
connector/connect/server/src/main/scala/org/apache/spark/sql/connect/execution/ExecuteThreadRunner.scala:
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@@ -177,6 +177,10 @@ private[connect] class ExecuteThreadRunner(executeHolder:
ExecuteHolder) extends
s"Spark Connect - ${StringUtils.abbreviate(debugString, 128)}")
session.sparkContext.setInterruptOnCancel(true)
+ executeHolder.schedulerPool.foreach { pool =>
+
session.sparkContext.setLocalProperty(SparkContext.SPARK_SCHEDULER_POOL, pool)
Review Comment:
No, scheduler mode can't be changed at runtime.
But I think in multi-user environment, fair scheduler and pool is better,
and users need a way to set it's pool
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