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Original file line number Diff line number Diff line change
Expand Up @@ -83,6 +83,7 @@ abstract class Optimizer extends RuleExecutor[LogicalPlan] {
BooleanSimplification,
SimplifyConditionals,
RemoveDispensableExpressions,
PruneFilters,
SimplifyFilters,
SimplifyCasts,
SimplifyCaseConversionExpressions,
Expand Down Expand Up @@ -768,6 +769,27 @@ object CombineFilters extends Rule[LogicalPlan] {
}
}

/**
* Remove all the deterministic conditions in a [[Filter]] that are contained in the Child.
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Nit: ... that are guaranteed to be true given the constraints on the child's output.

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Let me correct it. Thanks!

*/
object PruneFilters extends Rule[LogicalPlan] with PredicateHelper {
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Looks like SimplifyFilters is similar in purpose with this rule. Can we merge them?

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Sure, will do it. Thanks!

def apply(plan: LogicalPlan): LogicalPlan = plan transform {
case f @ Filter(fc, p: LogicalPlan) =>
val (prunedPredicates, remainingPredicates) =
splitConjunctivePredicates(fc).partition { cond =>
cond.deterministic && p.constraints.contains(cond)
}
if (prunedPredicates.isEmpty) {
f
} else if (remainingPredicates.isEmpty) {
p
} else {
val newCond = remainingPredicates.reduceOption(And).getOrElse(Literal(true))
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The Option/getOrElse is dead code given the check above.

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Will use reduce instead. Thanks!

Filter(newCond, p: LogicalPlan)
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I don't think that you need the type ascription (: LogicalPlan) here or above in the match.

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will remove it. Thanks!

}
}
}

/**
* Removes filters that can be evaluated trivially. This is done either by eliding the filter for
* cases where it will always evaluate to `true`, or substituting a dummy empty relation when the
Expand Down
Original file line number Diff line number Diff line change
Expand Up @@ -22,7 +22,7 @@ import org.apache.spark.sql.catalyst.analysis.EliminateSubqueryAliases
import org.apache.spark.sql.catalyst.dsl.expressions._
import org.apache.spark.sql.catalyst.dsl.plans._
import org.apache.spark.sql.catalyst.expressions._
import org.apache.spark.sql.catalyst.plans.{LeftOuter, LeftSemi, PlanTest, RightOuter}
import org.apache.spark.sql.catalyst.plans._
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Unnecessary change.

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import org.apache.spark.sql.catalyst.plans.{Inner, JoinType, LeftOuter, LeftSemi, NaturalJoin, FullOuter, RightOuter}

If we do not make the change, the list will be too long.

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There are no other changes in this file, so its not clear to me why you would need to change the imports. Also, we don't limit the lenght of imports (though if there are more than 6 you can use a wildcard).

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uh, I see... : ) Will revert it. Thanks!

import org.apache.spark.sql.catalyst.plans.logical._
import org.apache.spark.sql.catalyst.rules._
import org.apache.spark.sql.types.IntegerType
Expand Down
Original file line number Diff line number Diff line change
@@ -0,0 +1,136 @@
/*
* Licensed to the Apache Software Foundation (ASF) under one or more
* contributor license agreements. See the NOTICE file distributed with
* this work for additional information regarding copyright ownership.
* The ASF licenses this file to You under the Apache License, Version 2.0
* (the "License"); you may not use this file except in compliance with
* the License. You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/

package org.apache.spark.sql.catalyst.optimizer

import org.apache.spark.sql.catalyst.analysis.EliminateSubqueryAliases
import org.apache.spark.sql.catalyst.dsl.expressions._
import org.apache.spark.sql.catalyst.dsl.plans._
import org.apache.spark.sql.catalyst.expressions._
import org.apache.spark.sql.catalyst.plans._
import org.apache.spark.sql.catalyst.plans.logical._
import org.apache.spark.sql.catalyst.rules._

class PruneFiltersSuite extends PlanTest {

object Optimize extends RuleExecutor[LogicalPlan] {
val batches =
Batch("Subqueries", Once,
EliminateSubqueryAliases) ::
Batch("Filter Pushdown and Pruning", Once,
CombineFilters,
PruneFilters,
PushPredicateThroughProject,
PushPredicateThroughJoin) :: Nil
}

val testRelation = LocalRelation('a.int, 'b.int, 'c.int)

test("Constraints of isNull + LeftOuter") {
val x = testRelation.subquery('x)
val y = testRelation.subquery('y)

val query = x.where("x.b".attr.isNull).join(y, LeftOuter)
val queryWithUselessFilter = query.where("x.b".attr.isNull)

val optimized = Optimize.execute(queryWithUselessFilter.analyze)
val correctAnswer = query.analyze

comparePlans(optimized, correctAnswer)
}

test("Constraints of unionall") {
val tr1 = LocalRelation('a.int, 'b.int, 'c.int)
val tr2 = LocalRelation('d.int, 'e.int, 'f.int)
val tr3 = LocalRelation('g.int, 'h.int, 'i.int)

val query =
tr1.where('a.attr > 10)
.unionAll(tr2.where('d.attr > 10)
.unionAll(tr3.where('g.attr > 10)))
val queryWithUselessFilter = query.where('a.attr > 10)

val optimized = Optimize.execute(queryWithUselessFilter.analyze)
val correctAnswer = query.analyze

comparePlans(optimized, correctAnswer)
}

test("Pruning multiple constraints in the same run") {
val tr1 = LocalRelation('a.int, 'b.int, 'c.int).subquery('tr1)
val tr2 = LocalRelation('a.int, 'd.int, 'e.int).subquery('tr2)

val query = tr1
.where("tr1.a".attr > 10 || "tr1.c".attr < 10)
.join(tr2.where('d.attr < 100), Inner, Some("tr1.a".attr === "tr2.a".attr))
// different order of "tr2.a" and "tr1.a"
val queryWithUselessFilter =
query.where(
("tr1.a".attr > 10 || "tr1.c".attr < 10) &&
'd.attr < 100 &&
"tr2.a".attr === "tr1.a".attr)

val optimized = Optimize.execute(queryWithUselessFilter.analyze)
val correctAnswer = query.analyze

comparePlans(optimized, correctAnswer)
}

test("Partial pruning") {
val tr1 = LocalRelation('a.int, 'b.int, 'c.int).subquery('tr1)
val tr2 = LocalRelation('a.int, 'd.int, 'e.int).subquery('tr2)

// One of the filter condition does not exist in the constraints of its child
// Thus, the filter is not removed
val query = tr1
.where("tr1.a".attr > 10)
.join(tr2.where('d.attr < 100), Inner, Some("tr1.a".attr === "tr2.d".attr))
val queryWithExtraFilters =
query.where("tr1.a".attr > 10 && 'd.attr < 100 && "tr1.a".attr === "tr2.a".attr)

val optimized = Optimize.execute(queryWithExtraFilters.analyze)
val correctAnswer = tr1
.where("tr1.a".attr > 10)
.join(tr2.where('d.attr < 100),
Inner,
Some("tr1.a".attr === "tr2.a".attr && "tr1.a".attr === "tr2.d".attr)).analyze

comparePlans(optimized, correctAnswer)
}

test("No predicate is pruned") {
val x = testRelation.subquery('x)
val y = testRelation.subquery('y)

val query = x.where("x.b".attr.isNull).join(y, LeftOuter)
val queryWithExtraFilters = query.where("x.b".attr.isNotNull)

val optimized = Optimize.execute(queryWithExtraFilters.analyze)
val correctAnswer =
testRelation.where("b".attr.isNull).where("b".attr.isNotNull)
.join(testRelation, LeftOuter).analyze

comparePlans(optimized, correctAnswer)
}

test("Nondeterministic predicate is not pruned") {
val originalQuery = testRelation.where(Rand(10) > 5).select('a).where(Rand(10) > 5).analyze
val optimized = Optimize.execute(originalQuery)
val correctAnswer = testRelation.where(Rand(10) > 5).where(Rand(10) > 5).select('a).analyze
comparePlans(optimized, correctAnswer)
}
}