comphead commented on code in PR #3858:
URL: https://github.com/apache/datafusion-comet/pull/3858#discussion_r3023331418
##########
spark/src/test/scala/org/apache/comet/exec/CometNativeShuffleSuite.scala:
##########
@@ -474,4 +474,27 @@ class CometNativeShuffleSuite extends CometTestBase with
AdaptiveSparkPlanHelper
}
}
}
+
+ test("native datafusion scan - repartition count") {
+ withTempPath { dir =>
+ withSQLConf(CometConf.COMET_ENABLED.key -> "false") {
+ spark
+ .range(1000)
+ .selectExpr("id", "concat('name_', id) as name")
+ .repartition(100)
+ .write
+ .parquet(dir.toString)
+ }
+ withSQLConf(
+ CometConf.COMET_NATIVE_SCAN_IMPL.key ->
CometConf.SCAN_NATIVE_DATAFUSION,
+ CometConf.COMET_EXEC_SHUFFLE_WITH_ROUND_ROBIN_PARTITIONING_ENABLED.key
-> "true") {
+ val testDF = spark.read.parquet(dir.toString).repartition(10)
+ // Actual validation, no crash
+ val count = testDF.count()
+ assert(count == 1000)
+ // Ensure test df evaluated by Comet
+ checkSparkAnswerAndOperator(testDF)
Review Comment:
it is intentional, yes. Count returns just Long, I can't really inject in
the middle to check native plan, so do it I check that at least everything
before count is native which works for this case
--
This is an automated message from the Apache Git Service.
To respond to the message, please log on to GitHub and use the
URL above to go to the specific comment.
To unsubscribe, e-mail: [email protected]
For queries about this service, please contact Infrastructure at:
[email protected]
---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]
