dongjoon-hyun commented on pull request #31966:
URL: https://github.com/apache/spark/pull/31966#issuecomment-822188605
Hi, @viirya . While testing this PR, I found the following regression.
**BEFORE (3.1.1)**
```scala
scala> sql("select * from values array(array(named_struct('a', 1, 'b', 3),
named_struct('a', 2, 'b', 4))) T(items)").write.parquet("/tmp/nested_array")
scala> spark.read.parquet("/tmp/nested_array").createOrReplaceTempView("t")
scala> sql("select d.a from (select explode(c) d from (select explode(items)
c from t))").show()
+---+
| a|
+---+
| 1|
| 2|
+---+
```
**BEFORE(master)**
```scala
scala> spark.read.parquet("/tmp/nested_array").createOrReplaceTempView("t")
scala> sql("select d.a from (select explode(c) d from (select explode(items)
c from t))").show()
+---+
| a|
+---+
| 1|
| 2|
+---+
```
**AFTER (This PR)**
```scala
scala> spark.read.parquet("/tmp/nested_array").createOrReplaceTempView("t")
scala> sql("select d.a from (select explode(c) d from (select explode(items)
c from t))").show()
java.lang.ClassCastException: org.apache.spark.sql.types.ArrayType cannot be
cast to org.apache.spark.sql.types.StructType
at
org.apache.spark.sql.catalyst.expressions.SelectedField$.selectField(SelectedField.scala:81)
at
org.apache.spark.sql.catalyst.expressions.SelectedField$.unapply(SelectedField.scala:62)
at
org.apache.spark.sql.catalyst.expressions.SchemaPruning$.getRootFields(SchemaPruning.scala:124)
at
org.apache.spark.sql.catalyst.expressions.SchemaPruning$.$anonfun$identifyRootFields$1(SchemaPruning.scala:81)
```
Could you double-check this and add some test coverage?
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