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https://issues.apache.org/jira/browse/SPARK-2263?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14042941#comment-14042941
]
Cheng Lian commented on SPARK-2263:
-----------------------------------
PR: https://github.com/apache/spark/pull/1205
> 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
>
> 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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