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https://issues.apache.org/jira/browse/SPARK-19081?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15816869#comment-15816869
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Davy Song commented on SPARK-19081:
-----------------------------------
The case I used is like this, Insert into a table's map value field select map
value(udf parsed) from another table. It runs well on beeline, but when runs
with spark-sql, the excetion throws.
> spark sql use HIVE UDF throw exception when return a Map value
> --------------------------------------------------------------
>
> Key: SPARK-19081
> URL: https://issues.apache.org/jira/browse/SPARK-19081
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 1.3.0
> Reporter: Davy Song
>
> I have met a problem like https://issues.apache.org/jira/browse/SPARK-3582,
> but not with this parameter Map, my evaluate function return a Map:
> public Map<String, String> evaluate(Text url) {...}
> when run spark-sql with this udf, getting the following exception:
> scala.MatchError: interface java.util.Map (of class java.lang.Class)
> at
> org.apache.spark.sql.hive.HiveInspectors$class.javaClassToDataType(HiveInspectors.scala:175)
> at
> org.apache.spark.sql.hive.HiveSimpleUdf.javaClassToDataType(hiveUdfs.scala:112)
> at
> org.apache.spark.sql.hive.HiveSimpleUdf.dataType$lzycompute(hiveUdfs.scala:144)
> at
> org.apache.spark.sql.hive.HiveSimpleUdf.dataType(hiveUdfs.scala:144)
> at
> org.apache.spark.sql.catalyst.expressions.Alias.toAttribute(namedExpressions.scala:133)
> at
> org.apache.spark.sql.catalyst.plans.logical.Project$$anonfun$output$1.apply(basicOperators.scala:25)
> at
> org.apache.spark.sql.catalyst.plans.logical.Project$$anonfun$output$1.apply(basicOperators.scala:25)
> at
> scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:244)
> at
> scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:244)
> at
> scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
> at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:47)
> at
> scala.collection.TraversableLike$class.map(TraversableLike.scala:244)
> at scala.collection.AbstractTraversable.map(Traversable.scala:105)
> at
> org.apache.spark.sql.catalyst.plans.logical.Project.output(basicOperators.scala:25)
> at
> org.apache.spark.sql.catalyst.plans.logical.InsertIntoTable.resolved$lzycompute(basicOperators.scala:149)
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