[jira] [Resolved] (SPARK-8272) BigDecimal in parquet not working

["Davies Liu (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-8272?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Davies Liu resolved SPARK-8272.
-------------------------------
       Resolution: Fixed
         Assignee: Davies Liu
    Fix Version/s: 1.5.0

This should be fixed 1.5 (not initialized decimal). If not, please re-open it.

> BigDecimal in parquet not working
> ---------------------------------
>
>                 Key: SPARK-8272
>                 URL: https://issues.apache.org/jira/browse/SPARK-8272
>             Project: Spark
>          Issue Type: Bug
>          Components: Spark Core, SQL
>    Affects Versions: 1.3.1
>         Environment: Ubuntu 14.0 LTS
>            Reporter: Bipin Roshan Nag
>            Assignee: Davies Liu
>              Labels: sparksql
>             Fix For: 1.5.0
>
>
> When trying to save a DDF to parquet file I get the following errror:
> org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 2.0 failed 1 times, most recent failure: Lost task 0.0 in stage 2.0 (TID 311, localhost): java.lang.ClassCastException: scala.runtime.BoxedUnit cannot be cast to org.apache.spark.sql.types.Decimal
> 	at org.apache.spark.sql.parquet.RowWriteSupport.writePrimitive(ParquetTableSupport.scala:220)
> 	at org.apache.spark.sql.parquet.RowWriteSupport.writeValue(ParquetTableSupport.scala:192)
> 	at org.apache.spark.sql.parquet.RowWriteSupport.write(ParquetTableSupport.scala:171)
> 	at org.apache.spark.sql.parquet.RowWriteSupport.write(ParquetTableSupport.scala:134)
> 	at parquet.hadoop.InternalParquetRecordWriter.write(InternalParquetRecordWriter.java:120)
> 	at parquet.hadoop.ParquetRecordWriter.write(ParquetRecordWriter.java:81)
> 	at parquet.hadoop.ParquetRecordWriter.write(ParquetRecordWriter.java:37)
> 	at org.apache.spark.sql.parquet.ParquetRelation2.org$apache$spark$sql$parquet$ParquetRelation2$$writeShard$1(newParquet.scala:671)
> 	at org.apache.spark.sql.parquet.ParquetRelation2$$anonfun$insert$2.apply(newParquet.scala:689)
> 	at org.apache.spark.sql.parquet.ParquetRelation2$$anonfun$insert$2.apply(newParquet.scala:689)
> 	at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:61)
> 	at org.apache.spark.scheduler.Task.run(Task.scala:64)
> 	at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:203)
> 	at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
> 	at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
> 	at java.lang.Thread.run(Thread.java:745)
> Driver stacktrace:
> 	at org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1204)
> 	at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1193)
> 	at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1192)
> 	at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
> 	at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:47)
> 	at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1192)
> 	at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:693)
> 	at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:693)
> 	at scala.Option.foreach(Option.scala:236)
> 	at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:693)
> 	at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1393)
> 	at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1354)
> 	at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:48)
> I cannot save the dataframe. Please help.



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