Hi.

In Spark SQL 1.2.0, with HiveContext, I'm executing the following statement:

CREATE TABLE testTable STORED AS PARQUET AS
 SELECT
field1
 FROM table1

*field1 is SMALLINT. If table1 is in text format all it's ok, but if table1
is in parquet format, spark returns the following error*:



15/04/01 16:48:24 ERROR TaskSetManager: Task 26 in stage 1.0 failed 1
times; aborting job
Exception in thread "main" org.apache.spark.SparkException: Job aborted due
to stage failure: Task 26 in stage 1.0 failed 1 times, most recent failure:
Lost task 26.0 in stage 1.0 (TID 28, localhost):
java.lang.ClassCastException: java.lang.Integer cannot be cast to
java.lang.Short
at
org.apache.hadoop.hive.serde2.objectinspector.primitive.JavaShortObjectInspector.get(JavaShortObjectInspector.java:41)
at
org.apache.hadoop.hive.ql.io.parquet.serde.ParquetHiveSerDe.createPrimitive(ParquetHiveSerDe.java:251)
at
org.apache.hadoop.hive.ql.io.parquet.serde.ParquetHiveSerDe.createObject(ParquetHiveSerDe.java:301)
at
org.apache.hadoop.hive.ql.io.parquet.serde.ParquetHiveSerDe.createStruct(ParquetHiveSerDe.java:178)
at
org.apache.hadoop.hive.ql.io.parquet.serde.ParquetHiveSerDe.serialize(ParquetHiveSerDe.java:164)
at
org.apache.spark.sql.hive.execution.InsertIntoHiveTable$$anonfun$org$apache$spark$sql$hive$execution$InsertIntoHiveTable$$writeToFile$1$1.apply(InsertIntoHiveTable.scala:123)
at
org.apache.spark.sql.hive.execution.InsertIntoHiveTable$$anonfun$org$apache$spark$sql$hive$execution$InsertIntoHiveTable$$writeToFile$1$1.apply(InsertIntoHiveTable.scala:114)
at scala.collection.Iterator$class.foreach(Iterator.scala:727)
at scala.collection.AbstractIterator.foreach(Iterator.scala:1157)
at org.apache.spark.sql.hive.execution.InsertIntoHiveTable.org
$apache$spark$sql$hive$execution$InsertIntoHiveTable$$writeToFile$1(InsertIntoHiveTable.scala:114)
at
org.apache.spark.sql.hive.execution.InsertIntoHiveTable$$anonfun$saveAsHiveFile$3.apply(InsertIntoHiveTable.scala:93)
at
org.apache.spark.sql.hive.execution.InsertIntoHiveTable$$anonfun$saveAsHiveFile$3.apply(InsertIntoHiveTable.scala:93)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:61)
at org.apache.spark.scheduler.Task.run(Task.scala:56)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:196)
at
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
at
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
at java.lang.Thread.run(Thread.java:745)

Driver stacktrace:
at org.apache.spark.scheduler.DAGScheduler.org
$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1214)
at
org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1203)
at
org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1202)
at
scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:47)
at
org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1202)
at
org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:696)
at
org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:696)
at scala.Option.foreach(Option.scala:236)
at
org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:696)
at
org.apache.spark.scheduler.DAGSchedulerEventProcessActor$$anonfun$receive$2.applyOrElse(DAGScheduler.scala:1420)
at akka.actor.ActorCell.receiveMessage(ActorCell.scala:498)
at akka.actor.ActorCell.invoke(ActorCell.scala:456)
at akka.dispatch.Mailbox.processMailbox(Mailbox.scala:237)
at akka.dispatch.Mailbox.run(Mailbox.scala:219)
at
akka.dispatch.ForkJoinExecutorConfigurator$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)



Thanks!!!!!
-- 


Regards.
Miguel Ángel

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