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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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