HeartSaVioR commented on code in PR #52642:
URL: https://github.com/apache/spark/pull/52642#discussion_r2450514829
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sql/core/src/test/scala/org/apache/spark/sql/execution/adaptive/AdaptiveQueryExecSuite.scala:
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@@ -1045,6 +1046,70 @@ class AdaptiveQueryExecSuite
}
}
+ test("aqe in stateless streaming query") {
+ withSQLConf(
+ SQLConf.ADAPTIVE_EXECUTION_ENABLED.key -> "true",
+ SQLConf.ADAPTIVE_EXECUTION_FORCE_APPLY.key -> "true") {
+ withTempView("test") {
+ val input = MemoryStream[Int]
+ val stream = input.toDF().select(col("value"), (col("value") * 3) as
"three")
+
+ // join a table with a stream
+ val joined = spark.table("testData").join(stream,
Seq("value")).where("three > 40")
+ val query =
joined.writeStream.format("memory").queryName("test").start()
+ input.addData(1, 10, 20, 40, 50)
+ try {
+ query.processAllAvailable()
+ } finally {
+ query.stop()
+ }
+
+ // aqe should be enabled in a stateless streaming query
+ val plan = query.asInstanceOf[StreamingQueryWrapper]
+ .streamingQuery.lastExecution.executedPlan
+ val ret = plan.find {
+ case _: AdaptiveSparkPlanExec | _: QueryStageExec => true
+ case _ => false
+ }
+ assert(ret.nonEmpty,
+ s"expected AQE to take effect but can't find AQE node, plan: $plan")
+ // aqe config should still be enabled
+ assert(query.sparkSession.sessionState.conf.adaptiveExecutionEnabled)
+ }
+ }
+ }
+
+ test("no aqe in stateful streaming query") {
+ withSQLConf(
+ SQLConf.ADAPTIVE_EXECUTION_ENABLED.key -> "true",
+ SQLConf.ADAPTIVE_EXECUTION_FORCE_APPLY.key -> "true") {
+ withTempView("test") {
+ val input = MemoryStream[Int]
+ val stream = input.toDF().select(col("value"), (col("value") * 3) as
"three")
+
+ // apply aggregation
+ val agg = stream.groupBy("value").agg(sum("three"))
Review Comment:
pyspark is uneasy to test with, since we don't have an access of internal
information for MicroBatchExecution. I'll add more operators for Scala instead.
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