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  1. Spark
  2. SPARK-33113

[SparkR] gapply works with arrow disabled, fails with arrow enabled stringsAsFactors=TRUE

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Details

    • Bug
    • Status: Open
    • Major
    • Resolution: Unresolved
    • 3.0.0, 3.0.1
    • None
    • R
    • None

    Description

      Running in databricks on Azure

      library("arrow")
      library("SparkR")
      
      df <- as.DataFrame(list("A", "B", "C"), schema="ColumnA")
      udf <- function(key, x) data.frame(out=c("dfs"))
      

       

      This works:

      sparkR.session(master = "local[*]", sparkConfig=list(spark.sql.execution.arrow.sparkr.enabled = "false"))
      df1 <- gapply(df, c("ColumnA"), udf, "out String")
      collect(df1)
      

      This fails:

      sparkR.session(master = "local[*]", sparkConfig=list(spark.sql.execution.arrow.sparkr.enabled = "true"))
      df2 <- gapply(df, c("ColumnA"), udf, "out String")
      collect(df2)
      

       

      with error

       
      Error in readBin(con, raw(), as.integer(dataLen), endian = "big") : }}Error in readBin(con, raw(), as.integer(dataLen), endian = "big") : invalid 'n' argument
      Error in readBin(con, raw(), as.integer(dataLen), endian = "big") : invalid 'n' argument In addition: Warning messages: 1: Use 'read_ipc_stream' or 'read_feather' instead. 2: Use 'read_ipc_stream' or 'read_feather' instead.
      

       
      Clicking through Failed Stages to Failure Reason:
       

       Job aborted due to stage failure: Task 49 in stage 1843.0 failed 4 times, most recent failure: Lost task 49.3 in stage 1843.0 (TID 89810, 10.99.0.5, executor 0): java.lang.UnsupportedOperationException
       at org.apache.spark.sql.vectorized.ArrowColumnVector$ArrowVectorAccessor.getUTF8String(ArrowColumnVector.java:233)
       at org.apache.spark.sql.vectorized.ArrowColumnVector.getUTF8String(ArrowColumnVector.java:109)
       at org.apache.spark.sql.vectorized.ColumnarBatchRow.getUTF8String(ColumnarBatch.java:220)
       at org.apache.spark.sql.catalyst.expressions.GeneratedClass$SpecificUnsafeProjection.apply(Unknown Source)
       at org.apache.spark.sql.catalyst.expressions.GeneratedClass$SpecificUnsafeProjection.apply(Unknown Source)
       at scala.collection.Iterator$$anon$10.next(Iterator.scala:459)
       at org.apache.spark.sql.execution.arrow.ArrowConverters$$anon$1.$anonfun$next$1(ArrowConverters.scala:131)
       at scala.runtime.java8.JFunction0$mcV$sp.apply(JFunction0$mcV$sp.java:23)
       at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1559)
       at org.apache.spark.sql.execution.arrow.ArrowConverters$$anon$1.next(ArrowConverters.scala:140)
       at org.apache.spark.sql.execution.arrow.ArrowConverters$$anon$1.next(ArrowConverters.scala:115)
       at scala.collection.Iterator$$anon$10.next(Iterator.scala:459)
       at scala.collection.Iterator.foreach(Iterator.scala:941)
       at scala.collection.Iterator.foreach$(Iterator.scala:941)
       at scala.collection.AbstractIterator.foreach(Iterator.scala:1429)
       at scala.collection.generic.Growable.$plus$plus$eq(Growable.scala:62)
       at scala.collection.generic.Growable.$plus$plus$eq$(Growable.scala:53)
       at scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:105)
       at scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:49)
       at scala.collection.TraversableOnce.to(TraversableOnce.scala:315)
       at scala.collection.TraversableOnce.to$(TraversableOnce.scala:313)
       at scala.collection.AbstractIterator.to(Iterator.scala:1429)
       at scala.collection.TraversableOnce.toBuffer(TraversableOnce.scala:307)
       at scala.collection.TraversableOnce.toBuffer$(TraversableOnce.scala:307)
       at scala.collection.AbstractIterator.toBuffer(Iterator.scala:1429)
       at scala.collection.TraversableOnce.toArray(TraversableOnce.scala:294)
       at scala.collection.TraversableOnce.toArray$(TraversableOnce.scala:288)
       at scala.collection.AbstractIterator.toArray(Iterator.scala:1429)
       at org.apache.spark.sql.Dataset.$anonfun$collectAsArrowToR$3(Dataset.scala:3589)
       at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90)
       at org.apache.spark.scheduler.Task.doRunTask(Task.scala:144)
       at org.apache.spark.scheduler.Task.run(Task.scala:117)
       at org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$9(Executor.scala:639)
       at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1559)
       at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:642)
       at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
       at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
       at java.lang.Thread.run(Thread.java:748)
      
      Driver stacktrace:
      

       
       

       

       

       

       

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            jacek.pliszka Jacek Pliszka

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