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  1. Spark
  2. SPARK-8272

BigDecimal in parquet not working

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Details

    • Bug
    • Status: Resolved
    • Major
    • Resolution: Fixed
    • 1.3.1
    • 1.5.0
    • Spark Core, SQL
    • Ubuntu 14.0 LTS

    Description

      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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            davies Davies Liu
            bipin Bipin Roshan Nag
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            Dates

              Created:
              Updated:
              Resolved: