[ 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} -- This message was sent by Atlassian JIRA (v6.3.15#6346) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org