[GitHub] [spark] cloud-fan commented on a change in pull request #31269: [SPARK-33933][SQL] Materialize BroadcastQueryStage first to try to avoid broadcast timeout in AQE

[GitBox <gi...@apache.org>]

cloud-fan commented on a change in pull request #31269:
URL: https://github.com/apache/spark/pull/31269#discussion_r561615950



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File path: sql/core/src/test/scala/org/apache/spark/sql/execution/adaptive/AdaptiveQueryExecSuite.scala
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@@ -1460,4 +1460,29 @@ class AdaptiveQueryExecSuite
       }
     }
   }
+
+  test("SPARK-33933: Materialize BroadcastQueryStage first in AQE") {
+    val testAppender = new LogAppender("aqe query stage materialization order test")
+    val df = spark.sparkContext.parallelize(Range(0, 10))

Review comment:
       seems we can simplify it: `val df = spark.range(1000).select($"id" % 26, $"id" % 10).toDF("index", "pv")`




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