[jira] [Resolved] (SPARK-32478) Error message to show the schema mismatch in gapply with Arrow vectorization

["Hyukjin Kwon (Jira)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-32478?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Hyukjin Kwon resolved SPARK-32478.
----------------------------------
    Fix Version/s: 3.1.0
                   3.0.1
       Resolution: Fixed

Issue resolved by pull request 29283
[https://github.com/apache/spark/pull/29283]

> Error message to show the schema mismatch in gapply with Arrow vectorization
> ----------------------------------------------------------------------------
>
>                 Key: SPARK-32478
>                 URL: https://issues.apache.org/jira/browse/SPARK-32478
>             Project: Spark
>          Issue Type: Improvement
>          Components: SparkR
>    Affects Versions: 3.0.0
>            Reporter: Hyukjin Kwon
>            Assignee: Hyukjin Kwon
>            Priority: Major
>             Fix For: 3.0.1, 3.1.0
>
>
> Currently, the error message is confusing when the output schema type is not matched with the actual R DataFrame in gapply:
> {code}
> ./bin/sparkR --conf spark.sql.execution.arrow.sparkr.enabled=true
> {code}
> {code}
> df <- createDataFrame(list(list(a=1L, b="2")))
> count(gapply(df, "a", function(key, group) { group }, structType("a int, b int")))
> {code}
> {code}
>   org.apache.spark.SparkException: Job aborted due to stage failure: Task 43 in stage 2.0 failed 1 times, most recent failure: Lost task 43.0 in stage 2.0 (TID 2, 192.168.35.193, executor driver): java.lang.UnsupportedOperationException
> 	at org.apache.spark.sql.vectorized.ArrowColumnVector$ArrowVectorAccessor.getInt(ArrowColumnVector.java:212)
> 	...
> {code}
> We should probably also document that the type should be matched always.



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