siying commented on PR #60032:
URL: https://github.com/apache/spark/pull/60032#issuecomment-6595903252

   Pushed commit `77185e030d4` with explicit complete input/output parity 
checks.
   
   The exact pairs are the inline batch reference and streaming sink output 
within each of these SQL files:
   
   - `available-now-generators.sql`: generator query
   - `available-now-having.sql`: HAVING query
   - `available-now-lateral-subquery.sql`: lateral subquery
   - `available-now-natural-join.sql`: natural join
   - `available-now-pipe-operators.sql`: pipe operators
   - `available-now-select-except.sql`: SELECT EXCEPT
   - `available-now-sql-functions.sql`: scalar-function and table-function flows
   - `available-now-static-subqueries.sql`: scalar, IN, and EXISTS subquery 
flows
   - `available-now-unnest.sql`: UNNEST
   - `available-now-unpivot.sql`: UNPIVOT
   - `available-now-using-join.sql`: stream-static and stream-stream USING joins
   
   For every pair, the batch and streaming paths read the same physical fixture 
tables, so the complete data input is identical by construction. Complete 
outputs are compared in both directions with `EXCEPT ALL`, preserving duplicate 
sensitivity. All 15 generated `complete_output_identical` results are `true`.
   
   To be precise, these are exact batch-vs-streaming pairs inside each listed 
file. They are not claims that an entire streaming SQL file is byte-for-byte 
identical to a separate legacy batch SQL file.
   
   Golden generation and normal verification both passed all 42 matching 
execution/analyzer tests.


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