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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