wuyi created SPARK-32459:
----------------------------
Summary: UDF regression of WrappedArray supporting caused by
SPARK-31826
Key: SPARK-32459
URL: https://issues.apache.org/jira/browse/SPARK-32459
Project: Spark
Issue Type: Improvement
Components: SQL
Affects Versions: 3.1.0
Reporter: wuyi
{code:java}
test("WrappedArray") {
val myUdf = udf((a: WrappedArray[Int]) =>
WrappedArray.make[Int](Array(a.head + 99)))
checkAnswer(Seq(Array(1))
.toDF("col")
.select(myUdf(Column("col"))),
Row(ArrayBuffer(100)))
}{code}
Execute the above test in master branch, we'll hit the error:
{code:java}
[info] org.apache.spark.SparkException: Job aborted due to stage failure:
Task 0 in stage 0.0 failed 1 times, most recent failure: Lost task 0.0 in stage
0.0 (TID 0, 192.168.101.3, executor driver): java.lang.RuntimeException: Error
while decoding: java.lang.ClassCastException:
scala.collection.mutable.ArrayBuffer cannot be cast to
scala.collection.mutable.WrappedArray[info] {code}
However, the test can be executed successfully in branch-3.0.
This's actually a regression caused by SPARK-31826. And the regression happens
after we changed the catalyst-to-scala converter from CatalystTypeConverters to
ExpressionEncoder.deserializer .
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