[jira] [Resolved] (SPARK-2263) Can't insert Map values to Hive tables

["Reynold Xin (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-2263?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Reynold Xin resolved SPARK-2263.
--------------------------------

       Resolution: Fixed
    Fix Version/s: 1.1.0
                   1.0.1
         Assignee: Cheng Lian

> Can't insert Map<K, V> values to Hive tables
> --------------------------------------------
>
>                 Key: SPARK-2263
>                 URL: https://issues.apache.org/jira/browse/SPARK-2263
>             Project: Spark
>          Issue Type: Bug
>          Components: SQL
>    Affects Versions: 1.0.0
>            Reporter: Cheng Lian
>            Assignee: Cheng Lian
>             Fix For: 1.0.1, 1.1.0
>
>
> Scala {{Map\[K, V\]}} values are not converted to their Java correspondence:
> {code}
> scala> loadTestTable("src")
> scala> hql("create table m(value map<int, string>)")
> res1: org.apache.spark.sql.SchemaRDD = 
> SchemaRDD[0] at RDD at SchemaRDD.scala:100
> == Query Plan ==
> <Native command: executed by Hive>
> scala> hql("insert overwrite table m select map(key, value) from src")
> org.apache.spark.SparkException: Job aborted due to stage failure: Task 0.0:0 failed 1 times, most recent failure: Exception failure in TID 0 on host localhost: java.lang.ClassCastException: scala.collection.immutable.Map$Map1 cannot be cast to java.util.Map
>         org.apache.hadoop.hive.serde2.objectinspector.StandardMapObjectInspector.getMap(StandardMapObjectInspector.java:82)
>         org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe.serialize(LazySimpleSerDe.java:515)
>         org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe.serializeField(LazySimpleSerDe.java:439)
>         org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe.serialize(LazySimpleSerDe.java:423)
>         org.apache.spark.sql.hive.execution.InsertIntoHiveTable$$anonfun$2$$anonfun$apply$1.apply(InsertIntoHiveTable.scala:200)
>         org.apache.spark.sql.hive.execution.InsertIntoHiveTable$$anonfun$2$$anonfun$apply$1.apply(InsertIntoHiveTable.scala:192)
>         scala.collection.Iterator$$anon$11.next(Iterator.scala:328)
>         org.apache.spark.sql.hive.execution.InsertIntoHiveTable.org$apache$spark$sql$hive$execution$InsertIntoHiveTable$$writeToFile$1(InsertIntoHiveTable.scala:149)
>         org.apache.spark.sql.hive.execution.InsertIntoHiveTable$$anonfun$saveAsHiveFile$1.apply(InsertIntoHiveTable.scala:158)
>         org.apache.spark.sql.hive.execution.InsertIntoHiveTable$$anonfun$saveAsHiveFile$1.apply(InsertIntoHiveTable.scala:158)
>         org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:112)
>         org.apache.spark.scheduler.Task.run(Task.scala:51)
>         org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:187)
>         java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
>         java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
>         java.lang.Thread.run(Thread.java:745)
> Driver stacktrace:
>         at org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1040)
>         at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1024)
>         at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1022)
>         at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
>         at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:47)
>         at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1022)
>         at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:640)
>         at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:640)
>         at scala.Option.foreach(Option.scala:236)
>         at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:640)
>         at org.apache.spark.scheduler.DAGSchedulerEventProcessActor$$anonfun$receive$2.applyOrElse(DAGScheduler.scala:1214)
>         at akka.actor.ActorCell.receiveMessage(ActorCell.scala:498)
>         at akka.actor.ActorCell.invoke(ActorCell.scala:456)
>         at akka.dispatch.Mailbox.processMailbox(Mailbox.scala:237)
>         at akka.dispatch.Mailbox.run(Mailbox.scala:219)
>         at akka.dispatch.ForkJoinExecutorConfigurator$AkkaForkJoinTask.exec(AbstractDispatcher.scala:386)
>         at scala.concurrent.forkjoin.ForkJoinTask.doExec(ForkJoinTask.java:260)
>         at scala.concurrent.forkjoin.ForkJoinPool$WorkQueue.runTask(ForkJoinPool.java:1339)
>         at scala.concurrent.forkjoin.ForkJoinPool.runWorker(ForkJoinPool.java:1979)
>         at scala.concurrent.forkjoin.ForkJoinWorkerThread.run(ForkJoinWorkerThread.java:107)
> scala> 
> {code}



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