liuzqt commented on code in PR #49715:
URL: https://github.com/apache/spark/pull/49715#discussion_r1951996396
##########
sql/core/src/main/scala/org/apache/spark/sql/execution/adaptive/QueryStageExec.scala:
##########
@@ -303,3 +308,43 @@ case class TableCacheQueryStageExec(
override def getRuntimeStatistics: Statistics =
inMemoryTableScan.runtimeStatistics
}
+
+case class ResultQueryStageExec(
+ override val id: Int,
+ override val plan: SparkPlan,
+ resultHandler: SparkPlan => Any) extends QueryStageExec {
+
+ override def resetMetrics(): Unit = {
+ plan.resetMetrics()
+ }
+
+ override protected def doMaterialize(): Future[Any] = {
+ val javaFuture = SQLExecution.withThreadLocalCaptured(
+ session,
+ ResultQueryStageExec.executionContext) {
+ resultHandler(plan)
+ }
+ val scalaPromise: Promise[Any] = Promise()
+ javaFuture.whenComplete { (result: Any, exception: Throwable) =>
+ if (exception != null) {
+ scalaPromise.failure(exception match {
+ case completionException: java.util.concurrent.CompletionException =>
+ completionException.getCause
+ case ex => ex
+ })
+ } else {
+ scalaPromise.success(result)
+ }
+ }
+ scalaPromise.future
+ }
+
+ // Result stage could be any SparkPlan, so we don't have a specific runtime
statistics for it.
+ override def getRuntimeStatistics: Statistics = Statistics(sizeInBytes = 0,
rowCount = None)
Review Comment:
Make sense, use `Statistics.DUMMY` instead.
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