LantaoJin commented on a change in pull request #28935:
URL: https://github.com/apache/spark/pull/28935#discussion_r447548764
##########
File path:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/parser/AstBuilder.scala
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@@ -2184,7 +2184,7 @@ class AstBuilder(conf: SQLConf) extends
SqlBaseBaseVisitor[AnyRef] with Logging
* Create a Spark DataType.
*/
private def visitSparkDataType(ctx: DataTypeContext): DataType = {
- HiveStringType.replaceCharType(typedVisit(ctx))
+
HiveVoidType.replaceVoidType(HiveStringType.replaceCharType(typedVisit(ctx)))
Review comment:
For example, below function will point the failure is due to the legacy
hive void type. If we mix VOID and NULL, I am not sure it would be better than
separation.
```scala
def failVoidType(dt: DataType): Unit = {
if (HiveVoidType.containsVoidType(dt)) {
throw new AnalysisException(
"Cannot create tables with Hive VOID type.")
}
}
```
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