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

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

Hyukjin Kwon created SPARK-32478:
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             Summary: 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


Currently, the error message is confusing when the output schema type is not matched with the actual R DataFrame in gapply:

{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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