suibianwanwank opened a new pull request, #16234:
URL: https://github.com/apache/datafusion/pull/16234

   ## Which issue does this PR close?
   
   - Closes #.
   
   ## Rationale for this change
   
   For unbounded aggregate window functions, the result is the same for all 
rows within a partition. Therefore, we can avoid repeatedly computing the 
window bounds and evaluating the function for each row, which can improve 
performance.
   
   Related Work in 
DuckDB:https://github.com/duckdb/duckdb/blob/main/src/function/window/window_constant_aggregator.cpp
   
   Benchmark results on h2o_small_window (run locally) show performance 
improvements for Q1 and Q3, with no noticeable changes in other queries.
   ### Before Optimization
   ```
   Q1: -- Basic Window
   SELECT
       id1,
       id2,
       id3,
       v2,
       sum(v2) OVER () AS window_basic
   FROM large;
   Query 1 iteration 1 took 1297.6 ms and returned 10000000 rows
   Query 1 iteration 2 took 804.3 ms and returned 10000000 rows
   Query 1 iteration 3 took 582.2 ms and returned 10000000 rows
   Query 1 avg time: 894.72 ms
   
   Q3: -- PARTITION BY
   SELECT
       id1,
       id2,
       id3,
       v2,
       sum(v2) OVER (PARTITION BY id1) AS sum_by_id1,
       sum(v2) OVER (PARTITION BY id2) AS sum_by_id2,
       sum(v2) OVER (PARTITION BY id3) AS sum_by_id3
   FROM large;
   Query 3 iteration 1 took 1532.6 ms and returned 10000000 rows
   Query 3 iteration 2 took 1755.2 ms and returned 10000000 rows
   Query 3 iteration 3 took 1821.4 ms and returned 10000000 rows
   Query 3 avg time: 1703.09 ms
   ```
   ### After Optimization
   ```
   Q1: -- Basic Window
   SELECT
       id1,
       id2,
       id3,
       v2,
       sum(v2) OVER () AS window_basic
   FROM large;
   Query 1 iteration 1 took 253.6 ms and returned 10000000 rows
   Query 1 iteration 2 took 190.3 ms and returned 10000000 rows
   Query 1 iteration 3 took 88.7 ms and returned 10000000 rows
   Query 1 avg time: 177.54 ms
   
   Q3: -- PARTITION BY
   SELECT
       id1,
       id2,
       id3,
       v2,
       sum(v2) OVER (PARTITION BY id1) AS sum_by_id1,
       sum(v2) OVER (PARTITION BY id2) AS sum_by_id2,
       sum(v2) OVER (PARTITION BY id3) AS sum_by_id3
   FROM large;
   Query 3 iteration 1 took 1534.7 ms and returned 10000000 rows
   Query 3 iteration 2 took 1541.5 ms and returned 10000000 rows
   Query 3 iteration 3 took 1320.6 ms and returned 10000000 rows
   Query 3 avg time: 1465.59 ms
   ```
   
   ## What changes are included in this PR?
   
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sometimes worth providing a summary of the individual changes in this PR.
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   ## Are these changes tested?
   
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   ## Are there any user-facing changes?
   
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