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Apache Spark commented on SPARK-25690: -------------------------------------- User 'maryannxue' has created a pull request for this issue: https://github.com/apache/spark/pull/22701 > Analyzer rule "HandleNullInputsForUDF" does not stabilize and can be applied > infinitely > --------------------------------------------------------------------------------------- > > Key: SPARK-25690 > URL: https://issues.apache.org/jira/browse/SPARK-25690 > Project: Spark > Issue Type: Sub-task > Components: Spark Core, SQL > Affects Versions: 2.4.0 > Reporter: Maryann Xue > Priority: Major > > This was fixed in SPARK-24891 and was then broken by SPARK-25044. > The unit test in {{AnalysisSuite}} added in SPARK-24891 should have failed > but didn't because it wasn't properly updated after the {{ScalaUDF}} > constructor signature change. In the meantime, the other two end-to-end tests > added in SPARK-24891 were shadowed by SPARK-24865. > So the unit test mentioned above, if updated properly, can reproduce this > issue: > {code:java} > test("SPARK-24891 Fix HandleNullInputsForUDF rule") { > val a = testRelation.output(0) > val func = (x: Int, y: Int) => x + y > val udf1 = ScalaUDF(func, IntegerType, a :: a :: Nil, nullableTypes = false > :: false :: Nil) > val udf2 = ScalaUDF(func, IntegerType, a :: udf1 :: Nil, nullableTypes = > false :: false :: Nil) > val plan = Project(Alias(udf2, "")() :: Nil, testRelation) > comparePlans(plan.analyze, plan.analyze.analyze) > }{code} -- This message was sent by Atlassian JIRA (v7.6.3#76005) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org