cloud-fan commented on PR #48820:
URL: https://github.com/apache/spark/pull/48820#issuecomment-2473143992

   @ueshin After thinking more about it, I think the new test case should pass 
instead of fail. My opinion is:
   1. In SQL, users can just write un-qualified column names to reference the 
outer plan. We should allow the same in DataFrame API.
   2. Eventually, Spark Connect is the main API and DataFrame is always lazy. 
Then `.outer()` is only needed to avoid ambiguity when there are column name 
conflicts, to explicitly reference the outer plan only.


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