[GitHub] [spark] cloud-fan commented on a diff in pull request #40914: [SPARK-43240][SQL][3.3] Fix the wrong result issue when calling df.describe() method.

["cloud-fan (via GitHub)" <gi...@apache.org>]

cloud-fan commented on code in PR #40914:
URL: https://github.com/apache/spark/pull/40914#discussion_r1174782853


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sql/core/src/main/scala/org/apache/spark/sql/execution/stat/StatFunctions.scala:
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@@ -288,7 +288,7 @@ object StatFunctions extends Logging {
     }
 
     // If there is no selected columns, we don't need to run this aggregate, so make it a lazy val.
-    lazy val aggResult = ds.select(aggExprs: _*).queryExecution.toRdd.collect().head
+    lazy val aggResult = ds.select(aggExprs: _*).queryExecution.toRdd.map(_.copy()).collect().head

Review Comment:
   This is only a bug if Spark installs third-party physical operators that release memory eagerly.



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