我试图广播一个事实证明它大于spark.sql.autoBroadcastJoinThreshold的数据帧，并且驱动程序已登录
Exception in thread "broadcast-exchange-0" java.lang.OutOfMemoryError Not enough memory to build and broadcast the table to all worker nodes. As a workaround, you can...
但是，应用程序只是挂起并且驱动程序停留在以下位置，而不是返回到Driver线程并失败：
sun.misc.Unsafe.park(Native Method)
java.util.concurrent.locks.LockSupport.parkNanos(LockSupport.java:215)
java.util.concurrent.locks.AbstractQueuedSynchronizer.doAcquireSharedNanos(AbstractQueuedSynchronizer.java:1037)
java.util.concurrent.locks.AbstractQueuedSynchronizer.tryAcquireSharedNanos(AbstractQueuedSynchronizer.java:1328)
scala.concurrent.impl.Promise$DefaultPromise.tryAwait(Promise.scala:208)
scala.concurrent.impl.Promise$DefaultPromise.ready(Promise.scala:218)
scala.concurrent.impl.Promise$DefaultPromise.result(Promise.scala:223)
org.apache.spark.util.ThreadUtils$.awaitResult(ThreadUtils.scala:201)
org.apache.spark.sql.execution.exchange.BroadcastExchangeExec.doExecuteBroadcast(BroadcastExchangeExec.scala:136)
org.apache.spark.sql.execution.InputAdapter.doExecuteBroadcast(WholeStageCodegenExec.scala:367)
org.apache.spark.sql.execution.SparkPlan$$anonfun$executeBroadcast$1.apply(SparkPlan.scala:144)
org.apache.spark.sql.execution.SparkPlan$$anonfun$executeBroadcast$1.apply(SparkPlan.scala:140)
org.apache.spark.sql.execution.SparkPlan$$anonfun$executeQuery$1.apply(SparkPlan.scala:155)
org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
...
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spark.sql.broadcastTimeout设置得很高，实际上，驱动程序最终在超时时失败了，但是我仍然想知道这是否是预期的行为？我试图绕过ThreadUtils.awaitResult，但找不到（明确地）期望这是行为的证据。
任何人都可以确认这不是错误吗？