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[SPARK-22141][SQL] Propagate empty relation before checking Cartesian products #19362

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[SPARK-22141][SQL] Propagate empty relation before checking Cartesian products #19362

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0f25a07
propagate empty relation before checking Cartesian products
gengliangwang Sep 27, 2017
b721017
test the various join types in a single test case.
gengliangwang Sep 27, 2017
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4 changes: 2 additions & 2 deletions sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/optimizer/Optimizer.scala
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Original file line number Diff line number Diff line change
Expand Up @@ -124,8 +124,6 @@ abstract class Optimizer(sessionCatalog: SessionCatalog)
SimplifyCreateMapOps,
CombineConcats) ++
extendedOperatorOptimizationRules: _*) ::
Batch("Check Cartesian Products", Once,
CheckCartesianProducts) ::
Batch("Join Reorder", Once,
CostBasedJoinReorder) ::
Batch("Decimal Optimizations", fixedPoint,
Expand All @@ -136,6 +134,8 @@ abstract class Optimizer(sessionCatalog: SessionCatalog)
Batch("LocalRelation", fixedPoint,
ConvertToLocalRelation,
PropagateEmptyRelation) ::
Batch("Check Cartesian Products", Once,
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I think the comment of CheckCartesianProducts should also be updated and add this constrain.

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we should also add a comment here about the positioning ...

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Make sense. The PR is merged, what should I do now..

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Create a follow-up PR

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@gatorsmile I see, thanks!

CheckCartesianProducts) ::
Batch("OptimizeCodegen", Once,
OptimizeCodegen) ::
Batch("RewriteSubquery", Once,
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8 changes: 8 additions & 0 deletions sql/core/src/test/scala/org/apache/spark/sql/JoinSuite.scala
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Expand Up @@ -200,6 +200,14 @@ class JoinSuite extends QueryTest with SharedSQLContext {
Nil)
}

test("SPARK-22141: Propagate empty relation before checking Cartesian products") {
Seq("inner", "left", "right", "left_outer", "right_outer", "full_outer").foreach { joinType =>
val x = testData2.where($"a" === 2 && !($"a" === 2)).as("x")
val y = testData2.where($"a" === 1 && !($"a" === 1)).as("y")
checkAnswer(x.join(y, Seq.empty, joinType), Nil)
}
}

test("big inner join, 4 matches per row") {
val bigData = testData.union(testData).union(testData).union(testData)
val bigDataX = bigData.as("x")
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