HeartSaVioR commented on PR #48570:
URL: https://github.com/apache/spark/pull/48570#issuecomment-2425434238

   The issue is a sort of correctness/data loss (as watermark advances faster 
than it should be), but it's not triggered by "current" optimization rules (by 
luck - filter pushdown pushes the filter "below EventTimeWatermark node" and 
hence prune filters do not prune EventTimeWatermark node). Since I don't see 
how this could happen in existing Spark versions (might not be 100% safe), I'd 
suggest not to port this back.


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