rgyhuang opened a new pull request, #56249:
URL: https://github.com/apache/spark/pull/56249

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   ### What changes were proposed in this pull request?
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   This PR fixes a whole-stage codegen (WSCG) correctness bug in ArrayJoin 
(array_join) where the generated code computes the correct joined string but 
discards it as NULL.
   
   ArrayJoin.doGenCode initializes ev.isNull = true whenever the expression is 
nullable (which is the case when the optional nullReplacement argument is a 
nullable column). The actual join is then produced by 
genCodeForArrayAndDelimiter, which has two branches:
   
   When array or delimiter is nullable, the body is wrapped in nullSafeExec and 
explicitly emits ev.isNull = false before building the result. When both array 
and delimiter are non-nullable, the else branch builds the result but never 
resets ev.isNull, leaving it at its initialized true. 
   
   A minimal reproduction:
   
   
         SET spark.sql.codegen.wholeStage = true;
         SET spark.sql.codegen.factoryMode = CODEGEN_ONLY;
         -- Returns NULL for every row (buggy):
         SELECT array_join(
                  array('a', 'b'),
                  ',',
                  CASE WHEN id % 2 = 0 THEN 'NR' ELSE CAST(NULL AS STRING) END
                ) AS r
         FROM range(4);
         SET spark.sql.codegen.wholeStage = false;
         SET spark.sql.codegen.factoryMode = NO_CODEGEN;
         -- Returns ['a,NR,b', NULL, 'a,NR,b', NULL] (correct):
         SELECT array_join(
                  array('a', 'b'),
                  ',',
                  CASE WHEN id % 2 = 0 THEN 'NR' ELSE CAST(NULL AS STRING) END
                ) AS r
         FROM range(4);
   
   
   
   ### Why are the changes needed?
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   This is a silent correctness bug: `array_join(arr, delimiter, repl)` returns 
`NULL` for every row instead of the joined string, but only under a specific 
(and realistic) combination:
   
   - The third argument nullReplacement is a nullable, non-foldable column, so 
`ArrayJoin.nullable` is true.
   - An upstream `Filter` containing `IsNotNull(array)` (and/or 
`IsNotNull(delimiter)`) tightens those children to non-nullable. 
`FilterExec.output` marks `IsNotNull`-referenced attributes as non-nullable, 
and `UpdateAttributeNullability` propagates this downstream, so 
`genCodeForArrayAndDelimiter` takes the non-nullable else branch.
   - The query stays in whole-stage codegen over a materialized source (e.g. 
`FileScan parquet`, or an `InMemoryRelation` from `CACHE TABLE`). Inline 
`VALUES / WITH` sources are folded by `ConvertToLocalRelation` to interpreted 
`eval()` and therefore do not hit the bug.
   
   Interpreted `eval()` returns the correct result, so the same query produces 
different answers depending on whether codegen kicks in.
   
   
   
   
   ### Does this PR introduce _any_ user-facing change?
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   Yes. It fixes incorrect results. Previously, `array_join(arr, delimiter, 
nullReplacement)` could return `NULL` for every row under whole-stage codegen 
when nullReplacement was a nullable column and an upstream `IsNotNull` filter 
made the array/delimiter non-nullable. After this change, such queries return 
the correctly joined string, matching interpreted execution. Queries that were 
already correct (2-arg form, literal non-null `nullReplacement`, no upstream 
`IsNotNull` filter, or non-codegen execution) are unaffected.
   
   ### How was this patch tested?
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   Unit testing in `CollectionExpressionsSuite` and `DataFrameFunctionsSuite`
   
   
   ### Was this patch authored or co-authored using generative AI tooling?
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   Generated-by: Claude Opus 4.8


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