Github user dongjoon-hyun commented on a diff in the pull request:
https://github.com/apache/spark/pull/18460#discussion_r125968150
--- Diff:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/TypeCoercion.scala
---
@@ -144,6 +145,12 @@ object TypeCoercion {
.orElse((t1, t2) match {
case (ArrayType(et1, containsNull1), ArrayType(et2,
containsNull2)) =>
findWiderTypeForTwo(et1, et2).map(ArrayType(_, containsNull1 ||
containsNull2))
+ case (st1 @ StructType(fields1), st2 @ StructType(fields2)) if
st1.sameType(st2) =>
+ Some(StructType(fields1.zip(fields2).map { case (sf1, sf2) =>
+ val name = if (sf1.name == sf2.name) sf1.name else
sf1.name.toLowerCase(Locale.ROOT)
+ val dataType = findWiderTypeForTwo(sf1.dataType,
sf2.dataType).get
--- End diff --
For Hive, it's the same.
```
hive> select * from t1 union all select * from t2;
FAILED: SemanticException 1:41 Schema of both sides of union should match:
Column _c0 is of type struct<a:int> on first table and type struct<a:bigint> on
second table. Error encountered near token 't2'
```
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