[SPARK-50380][SQL] ReorderAssociativeOperator should respect the contract in ConstantFolding #48918
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viirya
reviewed
Nov 21, 2024
| val optimized2 = Optimize.execute(originalQuery2) | ||
| val correctAnswer2 = testRelation.select( | ||
| If($"a" === 1, 1, $"b" + (Literal(Int.MaxValue) + 1)).as("col")).analyze | ||
| comparePlans(optimized2, correctAnswer2) |
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Any difference between originalQuery2 and correctAnswer2?
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The association is different.
originalQuery2: (A + B) + CcorrectAnswer2: A + (B + C)
viirya
approved these changes
Nov 21, 2024
| @@ -106,4 +107,17 @@ class ReorderAssociativeOperatorSuite extends PlanTest { | |||
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| comparePlans(optimized, correctAnswer) | |||
| } | |||
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| test("SPARK-50380: conditional branches with error expression") { | |||
| val originalQuery1 = testRelation.select(If($"a" === 1, 1L, Literal(1).div(0) + $"b")).analyze | |||
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Thank you for adding this.
dongjoon-hyun
approved these changes
Nov 21, 2024
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What changes were proposed in this pull request?
This PR fixes a long-standing issue in
ReorderAssociativeOperator. In this rule, we flatten the Add/Multiply nodes, and combine the foldable operands into a single Add/Multiply, then evaluate it into a literal. This is fine normally, but we added a new contract inConstantFoldingwith #36468 , due to the introduction of ANSI mode and we don't want to fail eagerly for expressions within conditional branches.ReorderAssociativeOperatordoes not follow this contract.The solution in this PR is to leave the expression evaluation to
ConstantFolding.ReorderAssociativeOperatorshould only match literals. This makes sure that the early expression evaluation follows all the contracts inConstantFolding.Why are the changes needed?
Avoid failing the query which should not fail. This also fixes a regression caused by #48395 , which does not introduce the bug, but makes the bug more likely to happen.
Does this PR introduce any user-facing change?
Yes, failed queries can run now.
How was this patch tested?
new test
Was this patch authored or co-authored using generative AI tooling?
no