Github user dilipbiswal commented on the pull request:
https://github.com/apache/spark/pull/9588#issuecomment-156258389
@marmbrus Thanks michael for your input. If we do intercept such DDLS and
treat them as Spark SQL temporary tables, i had a few questions.
1) A command such as SHOW TABLES would now have to go to two different
catalogs to get a full listing of temporary and non temporary tables ?
2) Do we allow a permanent and temporary table with the same name ?
3) If we do, then we need to decide on the scoping rules , right ? If some
one does a drop/query table then we need to find out which one to drop/query ,
right ?
Also michael, did you want me to close this PR ? In this PR, i was simply
addressing the defect with missing is_temporary attribute..
Please let me know.
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