kbendick commented on issue #3541:
URL: https://github.com/apache/iceberg/issues/3541#issuecomment-972466345


   Yeah. That's what I mean.
   
   I know the Spark docs mention it, but they're actually the ones that even 
throw the exception. I did a pretty deep dive and I can see how Hive tables are 
able to handle it. They follow an older pathway `DropDatabaseCommand`, which 
relies on HMS to handle the Cascade.
   
   The problem with the approach that you mentioned is that we still wouldn't 
have the ability to get the `CASCADE` information from the query. Just setting 
it to `true` by default is most likely not going to work for most cases.
   
   We'd have to implement our own antlr grammar to catch `drop table ... 
cascade`. That's something that could be done, but it's not a trivial amount of 
work necessarily.


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