Dandandan opened a new pull request, #24787:
URL: https://github.com/apache/datafusion/pull/24787

   ## Which issue does this PR close?
   
   - Closes #.
   
   ## Rationale for this change
   
   `Unnest::try_new` copies its input's functional dependencies unchanged:
   
   ```rust
   // We can use the existing functional dependencies:
   let deps = input_schema.functional_dependencies().clone();
   ```
   
   That is not true for a list unnest, which turns one input row into several. A
   determinant that occurred once in the input can occur many times in the 
output,
   so it is no longer a unique key.
   
   Optimizer rules that read those dependencies then produce wrong results:
   
   ```sql
   CREATE TABLE t_list (k INT, vals INT[], PRIMARY KEY (k))
     AS VALUES (1, [10, 20, 30]), (2, [40]);
   CREATE TABLE t_join (k INT) AS VALUES (1), (2);
   
   SELECT u.k, u.v FROM (SELECT k, unnest(vals) AS v FROM t_list) u
   JOIN t_join j ON u.k = j.k;
   ```
   
   returns 2 rows. The correct answer is 4, and removing the `PRIMARY KEY` gives
   4. `eliminate_join` sees `u` as unique on `k`, rewrites the inner join into a
   semi join, and the repeated rows are dropped.
   
   ## What changes are included in this PR?
   
   The dependency still holds in the weaker sense: every row produced from one
   input row carries the same determinant, so it determines the same columns. It
   is downgraded to `Dependency::Multi` rather than dropped, which keeps it 
useful
   for other purposes and stops it being read as a uniqueness guarantee.
   
   Unnesting a struct produces one row per input row, so those dependencies are
   left as they are.
   
   ## Are these changes tested?
   
   Yes. `functional_dependencies.slt` gains the query above, which returns 4 
rows,
   and a plan assertion that a struct unnest still keeps its input's 
dependencies.
   The full sqllogictest suite (504 files) passes.
   
   ## Are there any user-facing changes?
   
   Queries that unnest a list from a table with a declared key and then join or
   aggregate on that key now return correct results.
   


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