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From "Apache Spark (JIRA)" <j...@apache.org>
Subject [jira] [Assigned] (SPARK-21837) UserDefinedTypeSuite local UDFs not actually testing what it intends
Date Fri, 25 Aug 2017 20:32:00 GMT

     [ https://issues.apache.org/jira/browse/SPARK-21837?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Apache Spark reassigned SPARK-21837:
------------------------------------

    Assignee: Sean Owen  (was: Apache Spark)

> UserDefinedTypeSuite local UDFs not actually testing what it intends
> --------------------------------------------------------------------
>
>                 Key: SPARK-21837
>                 URL: https://issues.apache.org/jira/browse/SPARK-21837
>             Project: Spark
>          Issue Type: Bug
>          Components: SQL, Tests
>    Affects Versions: 2.2.0
>            Reporter: Sean Owen
>            Assignee: Sean Owen
>            Priority: Minor
>
> Consider this test in {{UserDefinedTypeSuite}}:
> {code}
>   test("Local UDTs") {
>     val df = Seq((1, new UDT.MyDenseVector(Array(0.1, 1.0)))).toDF("int", "vec")
>     df.collect()(0).getAs[UDT.MyDenseVector](1)
>     df.take(1)(0).getAs[UDT.MyDenseVector](1)
>     df.limit(1).groupBy('int).agg(first('vec)).collect()(0).getAs[UDT.MyDenseVector](0)
>     df.orderBy('int).limit(1).groupBy('int).agg(first('vec)).collect()(0)
>       .getAs[UDT.MyDenseVector](0)
>   }
> {code}
> I claim the last two lines can't be right, because they say that the first column in
the aggregation is the vector, when it is the grouping key (int). But it passes! 
> But it started failing when I made seemingly unrelated changes in https://github.com/apache/spark/pull/18645
like:
> {code}
> [info] - Local UDTs *** FAILED *** (144 milliseconds)
> [info]   java.lang.ClassCastException: java.lang.Integer cannot be cast to org.apache.spark.sql.UDT$MyDenseVector
> [info]   at org.apache.spark.sql.UserDefinedTypeSuite$$anonfun$10.apply(UserDefinedTypeSuite.scala:211)
> [info]   at org.apache.spark.sql.UserDefinedTypeSuite$$anonfun$10.apply(UserDefinedTypeSuite.scala:205)
> {code}
> I modified the test to actually assert that the vector that results in each case is the
expected one, and it began failing with the same error, in master. Therefore I am pretty sure
the test is not quite doing what it seems to want to, and the result of these expressions
just happened to not be fully evaluated or checked.
> CC [~marmbrus] for the discussion at https://github.com/apache/spark/commit/3ae25f244bd471ef77002c703f2cc7ed6b524f11##commitcomment-23320234
and apologies if I'm still really missing something here. I'll open a PR to show you what
I mean.



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