[ 
https://issues.apache.org/jira/browse/SPARK-33113?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Jacek Pliszka updated SPARK-33113:
----------------------------------
    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:
  
  

 

 

 

 

  was:
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"), stringAsFactors=FALSE)

 

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:
 
 

 

 

 

 


> [SparkR] gapply works with arrow disabled, fails with arrow enabled
> -------------------------------------------------------------------
>
>                 Key: SPARK-33113
>                 URL: https://issues.apache.org/jira/browse/SPARK-33113
>             Project: Spark
>          Issue Type: Bug
>          Components: R
>    Affects Versions: 3.0.0, 3.0.1
>            Reporter: Jacek Pliszka
>            Priority: Major
>
> 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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