ganeshashree opened a new pull request, #57368:
URL: https://github.com/apache/spark/pull/57368

   …elimination shortcut
   
   ### What changes were proposed in this pull request?
   
   `EquivalentExpressions.skipForShortcut` (used when 
`spark.sql.subexpressionElimination.skipForShortcutExpr` is enabled) stripped 
only a single And/Or operand. This PR makes it peel leading And/Or operands 
recursively, down to the single always-evaluated leaf of the chain:
   
   ```
   expr match {
     case and: And => skipForShortcut(and.left)
     case or: Or  => skipForShortcut(or.left)
     case other => other
   }
   ```
   
   The change is scoped to the existing skipForShortcutExpr code path and does 
not change its default (false).
   
   
   ### Why are the changes needed?
   And/Or short-circuit, so only the leftmost operand of a chain is guaranteed 
to be evaluated. A chained predicate a AND b AND c is parsed left-deep as 
And(And(a, b), c), so peeling only one level leaves the analysis recursing into 
b (and, at the outer level, c) — treating conditionally-evaluated operands as 
always-evaluated. A subexpression shared with such an operand can then be 
hoisted into the common-subexpression set and evaluated eagerly, defeating 
short-circuit semantics and raising a spurious error for a row where that 
operand should never have run.
   
   For example, with subexpression elimination on:
   
   ```
   SELECT id != 0 AND 1 / id > 0 AND 1 / id < 1 FROM range(0, 1, 1, 1);
   ```
   
   For id = 0, id != 0 is false, so short-circuit should stop before 1 / id is 
ever computed and the query should return false. Instead, the shared 1 / id 
subexpression was hoisted and evaluated eagerly, raising [DIVIDE_BY_ZERO]. The 
same mechanism produces a NullPointerException when the eagerly-evaluated 
operand dereferences a null (the originally reported case). The pre-existing 
one-level peel handled the two-operand case but still failed once there were 
three or more operands.
   
   If/CaseWhen already model this correctly via the ConditionalExpression trait 
(recursing only alwaysEvaluatedInputs); this brings And/Or shortcut handling in 
line for chains of arbitrary length.
   
   **Note to reviewers:**
   
   This PR deliberately keeps 
`spark.sql.subexpressionElimination.skipForShortcutExpr` set to `false`, so the 
fix only takes effect for users who opt in. Could reviewers weigh in on whether 
the default should be flipped to `true`? With this fix, `true` is the 
correct-by-default behavior (it never produces incorrect results and can only 
eliminate spurious short-circuit errors), but it can miss 
subexpression-elimination opportunities on wide AND/OR chains that repeat an 
expensive subexpression. In a deliberately pathological microbenchmark, an 
N-way OR chain where every operand shares one from_json over a wide row and 
none short-circuits, I measured a ~3.5x slowdown at 50 operands and ~10x at 
500. That worst case is narrow (it requires an expensive subexpression repeated 
across many operands that rarely short-circuit), and the config remains 
available as an opt-out, but the trade-off (hard failure vs. a potential CSE 
regression) seemed worth surfacing before changing a default. Happy t
 o flip it here or send a follow-up, per reviewer preference.
   
   
   ### Does this PR introduce _any_ user-facing change?
   
   No. The behavior only changes when 
`spark.sql.subexpressionElimination.skipForShortcutExpr` is enabled (default 
false), where it fixes incorrect eager evaluation for chains of three or more 
AND/OR operands.
   
   ### How was this patch tested?
   <!--
   If tests were added, say they were added here. Please make sure to add some 
test cases that check the changes thoroughly including negative and positive 
cases if possible.
   If it was tested in a way different from regular unit tests, please clarify 
how you tested step by step, ideally copy and paste-able, so that other 
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   If tests were not added, please describe why they were not added and/or why 
it was difficult to add.
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   -->
   
   - SubexpressionEliminationSuite — a unit test asserting that a subexpression 
in an operand past the first of a chained/deeply-nested (4-way)/mixed AND/OR 
tree is not collected as a common subexpression, while the always-evaluated 
leftmost leaf still is (guarding against over-conservatism).
   - SQLQuerySuite — an end-to-end regression test running SELECT id != 0 AND 1 
/ id > 0 AND 1 / id < 1 FROM range(0, 1, 1, 1) with skipForShortcutExpr=true, 
asserting it returns false with no error.
   
   Also ran the surrounding suites to check for regressions: 
SubexpressionEliminationSuite (21/21), WholeStageCodegenSuite (55/55), and 
DataFrameFunctionsSuite (161/161) all pass.
   
   New tests, both failing before the change and passing after:
   
   - SubexpressionEliminationSuite — a unit test asserting that a subexpression 
in an operand past the first of a chained/deeply-nested (4-way)/mixed AND/OR 
tree is not collected as a common subexpression, while the always-evaluated 
leftmost leaf still is (guarding against over-conservatism).
   - SQLQuerySuite — an end-to-end regression test running SELECT id != 0 AND 1 
/ id > 0 AND 1 / id < 1 FROM range(0, 1, 1, 1) with skipForShortcutExpr=true, 
asserting it returns false with no error.
   
   Also ran the surrounding suites to check for regressions: 
SubexpressionEliminationSuite (21/21), WholeStageCodegenSuite (55/55), and 
DataFrameFunctionsSuite (161/161) all pass.
   
   ### Was this patch authored or co-authored using generative AI tooling?
   <!--
   If generative AI tooling has been used in the process of authoring this 
patch, please include the
   phrase: 'Generated-by: ' followed by the name of the tool and its version.
   If no, write 'No'.
   Please refer to the [ASF Generative Tooling 
Guidance](https://www.apache.org/legal/generative-tooling.html) for details.
   -->
   Generated-by: Claude Code (Opus 4.8)


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