[
https://issues.apache.org/jira/browse/SPARK-19081?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15827199#comment-15827199
]
Davy Song commented on SPARK-19081:
-----------------------------------
Thanks Takeshi, you are right. I test map on Databricks's spark-sql 2.0 and hit
the exception as follows:
com.databricks.backend.common.rpc.DatabricksExceptions$SQLExecutionException:
org.apache.spark.sql.AnalysisException: Map type in java is unsupported because
JVM type erasure makes spark fail to catch key and value types in Map<>; line 2
pos 12 at
org.apache.spark.sql.hive.HiveInspectors$class.javaClassToDataType(HiveInspectors.scala:234)
at
org.apache.spark.sql.hive.HiveSimpleUDF.javaClassToDataType(hiveUDFs.scala:41)
at
org.apache.spark.sql.hive.HiveSimpleUDF.dataType$lzycompute(hiveUDFs.scala:71)
at org.apache.spark.sql.hive.HiveSimpleUDF.dataType(hiveUDFs.scala:71) at
org.apache.spark.sql.hive.HiveSessionCatalog$$anonfun$makeFunctionBuilder$1.apply(HiveSessionCatalog.scala:126)
at
org.apache.spark.sql.hive.HiveSessionCatalog$$anonfun$makeFunctionBuilder$1.apply(HiveSessionCatalog.scala:122)
at
org.apache.spark.sql.catalyst.analysis.SimpleFunctionRegistry.lookupFunction(FunctionRegistry.scala:87)
at
org.apache.spark.sql.catalyst.catalog.SessionCatalog.lookupFunction(SessionCatalog.scala:853)
at
org.apache.spark.sql.hive.HiveSessionCatalog.org$apache$spark$sql$hive$HiveSessionCatalog$$super$lookupFunction(HiveSessionCatalog.scala:186)
at
> spark sql use HIVE UDF throw exception when return a Map value
> --------------------------------------------------------------
>
> Key: SPARK-19081
> URL: https://issues.apache.org/jira/browse/SPARK-19081
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 1.3.0
> Reporter: Davy Song
>
> I have met a problem like https://issues.apache.org/jira/browse/SPARK-3582,
> but not with this parameter Map, my evaluate function return a Map:
> public Map<String, String> evaluate(Text url) {...}
> when run spark-sql with this udf, getting the following exception:
> scala.MatchError: interface java.util.Map (of class java.lang.Class)
> at
> org.apache.spark.sql.hive.HiveInspectors$class.javaClassToDataType(HiveInspectors.scala:175)
> at
> org.apache.spark.sql.hive.HiveSimpleUdf.javaClassToDataType(hiveUdfs.scala:112)
> at
> org.apache.spark.sql.hive.HiveSimpleUdf.dataType$lzycompute(hiveUdfs.scala:144)
> at
> org.apache.spark.sql.hive.HiveSimpleUdf.dataType(hiveUdfs.scala:144)
> at
> org.apache.spark.sql.catalyst.expressions.Alias.toAttribute(namedExpressions.scala:133)
> at
> org.apache.spark.sql.catalyst.plans.logical.Project$$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)
--
This message was sent by Atlassian JIRA
(v6.3.4#6332)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org
For additional commands, e-mail: issues-h...@spark.apache.org
