ManvithPanyam commented on PR #39851:
URL: https://github.com/apache/beam/pull/39851#issuecomment-5381740288

   @tvalentyn — opened a fix for this. Root cause: Beam's `.xs()` assumed
   static output shape across partitions, but pandas collapses dimensionality
   on single-row matches, breaking cross-partition concat.
   
   One thing flagged for review: the proxy can't distinguish single-match
   vs. duplicate-match keys at graph-construction time (no row data
   available yet), so it always predicts the dimensionality-reduced type.
   Documented this as a known limitation in the code — same class of
   tradeoff as other data-dependent-shape ops in this module. Open to
   feedback if there's a cleaner way to handle it.
   


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