[jira] [Resolved] (SPARK-18055) Dataset.flatMap can't work with types from customized jar

["Wenchen Fan (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-18055?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Wenchen Fan resolved SPARK-18055.
---------------------------------
       Resolution: Fixed
    Fix Version/s: 2.2.0
                   2.0.3
                   2.1.1

Issue resolved by pull request 17201
[https://github.com/apache/spark/pull/17201]

> Dataset.flatMap can't work with types from customized jar
> ---------------------------------------------------------
>
>                 Key: SPARK-18055
>                 URL: https://issues.apache.org/jira/browse/SPARK-18055
>             Project: Spark
>          Issue Type: Bug
>          Components: SQL
>    Affects Versions: 2.0.1
>            Reporter: Davies Liu
>            Assignee: Michael Armbrust
>             Fix For: 2.1.1, 2.0.3, 2.2.0
>
>         Attachments: test-jar_2.11-1.0.jar
>
>
> Try to apply flatMap() on Dataset column which of of type
> com.A.B
> Here's a schema of a dataset:
> {code}
> root
>  |-- id: string (nullable = true)
>  |-- outputs: array (nullable = true)
>  |    |-- element: string
> {code}
> flatMap works on RDD
> {code}
>  ds.rdd.flatMap(_.outputs)
> {code}
> flatMap doesnt work on dataset and gives the following error
> {code}
> ds.flatMap(_.outputs)
> {code}
> The exception:
> {code}
> scala.ScalaReflectionException: class com.A.B in JavaMirror … not found
>     at scala.reflect.internal.Mirrors$RootsBase.staticClass(Mirrors.scala:123)
>     at scala.reflect.internal.Mirrors$RootsBase.staticClass(Mirrors.scala:22)
>     at line189424fbb8cd47b3b62dc41e417841c159.$read$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$typecreator3$1.apply(<console>:51)
>     at scala.reflect.api.TypeTags$WeakTypeTagImpl.tpe$lzycompute(TypeTags.scala:232)
>     at scala.reflect.api.TypeTags$WeakTypeTagImpl.tpe(TypeTags.scala:232)
>     at org.apache.spark.sql.SQLImplicits$$typecreator9$1.apply(SQLImplicits.scala:125)
>     at scala.reflect.api.TypeTags$WeakTypeTagImpl.tpe$lzycompute(TypeTags.scala:232)
>     at scala.reflect.api.TypeTags$WeakTypeTagImpl.tpe(TypeTags.scala:232)
>     at org.apache.spark.sql.catalyst.encoders.ExpressionEncoder$.apply(ExpressionEncoder.scala:49)
>     at org.apache.spark.sql.SQLImplicits.newProductSeqEncoder(SQLImplicits.scala:125)
> {code}
> Spoke to Michael Armbrust and he confirmed it as a Dataset bug.
> There is a workaround using explode()
> {code}
> ds.select(explode(col("outputs")))
> {code}



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