cxzl25 commented on code in PR #46273:
URL: https://github.com/apache/spark/pull/46273#discussion_r1593350763
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sql/core/src/test/scala/org/apache/spark/sql/execution/adaptive/AdaptiveQueryExecSuite.scala:
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@@ -2502,6 +2502,26 @@ class AdaptiveQueryExecSuite
}
}
+ test("SPARK-48037: Fix SortShuffleWriter lacks shuffle write related metrics
" +
+ "resulting in potentially inaccurate data") {
+ withTable("t3") {
+ withSQLConf(
+ SQLConf.ADAPTIVE_EXECUTION_ENABLED.key -> "true",
+ SQLConf.SHUFFLE_PARTITIONS.key -> "16777217") {
+ sql("CREATE TABLE t3 USING PARQUET AS SELECT id FROM range(2)")
+ val (plan, adaptivePlan) = runAdaptiveAndVerifyResult(
+ """
+ |SELECT id, count(*)
+ |FROM t3
+ |GROUP BY id
+ |LIMIT 1
+ |""".stripMargin, skipCheckAnswer = true)
Review Comment:
In this test case, because `spark.sql.adaptive.enabled=false`, partitions
will not be merged.
It has a large number of partitions and tasks, so it requires a large amount
of driver memory to execute successfully.
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