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Original file line number Diff line number Diff line change
Expand Up @@ -20,11 +20,7 @@ package org.apache.spark.sql.catalyst.optimizer
import scala.collection.immutable.HashSet
import org.apache.spark.sql.catalyst.analysis.{CleanupAliases, EliminateSubQueries}
import org.apache.spark.sql.catalyst.expressions._
import org.apache.spark.sql.catalyst.plans.Inner
import org.apache.spark.sql.catalyst.plans.FullOuter
import org.apache.spark.sql.catalyst.plans.LeftOuter
import org.apache.spark.sql.catalyst.plans.RightOuter
import org.apache.spark.sql.catalyst.plans.LeftSemi
import org.apache.spark.sql.catalyst.plans._
import org.apache.spark.sql.catalyst.plans.logical._
import org.apache.spark.sql.catalyst.rules._
import org.apache.spark.sql.types._
Expand All @@ -43,6 +39,7 @@ object DefaultOptimizer extends Optimizer {
// Operator push down
SetOperationPushDown,
SamplePushDown,
TransitiveClosure,
PushPredicateThroughJoin,
PushPredicateThroughProject,
PushPredicateThroughGenerate,
Expand Down Expand Up @@ -674,6 +671,85 @@ object PushPredicateThroughGenerate extends Rule[LogicalPlan] with PredicateHelp
}
}

/**
* Tries to generate a transitive filter for an EqualTo join condition and a filter that on one side
* has the left/right side of the join condition and on the other a foldable expression. Also works
* for filters which are part of the join condition itself
*/
object TransitiveClosure extends Rule[LogicalPlan] with PredicateHelper {

def split(conditions: Seq[Expression], left: LogicalPlan, right: LogicalPlan) = conditions.partition { cond =>
cond.references.subsetOf(left.outputSet) ^ cond.references.subsetOf(right.outputSet)
}

def toTransPredOption(cond: Expression, from: Expression, to: Expression): Option[Expression] = cond match {
case Not(child) =>
toTransPredOption(child, from, to) map Not
case Or(left, right) => for {
l <- toTransPredOption(left, from, to)
r <- toTransPredOption(right, from, to)
} yield Or(l, r)
case e @ In(value, exprs) if value == from && exprs.forall(_.foldable) =>
Some(e.copy(value = to))
case e @ BinaryComparison(l, r) if l.foldable ^ r.foldable && l == from || r == from =>
val res =
if (l.foldable) e.makeCopy(Array(to, l))
else e.makeCopy(Array(to, r))
Some(res)
case _ => None
}

def toTransPredByJoinType(filterCondition: Expression, joinCondition: EqualTo, joinType: JoinType) = {
val fromTo = joinType match {
case Inner =>
(joinCondition.left, joinCondition.right) ::
(joinCondition.right, joinCondition.left) :: Nil
case LeftOuter | LeftSemi =>
(joinCondition.left, joinCondition.right) :: Nil
case RightOuter => (joinCondition.right, joinCondition.left) :: Nil
case FullOuter => Nil
}
fromTo.flatMap(ft => toTransPredOption(filterCondition, ft._1, ft._2))
}

def findTransitivePredicates(filterConditions: Seq[Expression], joinConditions: Seq[Expression], joinType: JoinType) = {
val transitivePredCandidate = for {
joinCond <- joinConditions.collect{case e: EqualTo => e}
filterCond <- filterConditions
newPred <- toTransPredByJoinType(filterCond, joinCond, joinType)
} yield newPred

transitivePredCandidate.toSet -- filterConditions
}

override def apply(plan: LogicalPlan): LogicalPlan = plan transform {
case f @ Filter(filterCondition, j @ Join(left, right, joinType, joinCondition)) =>
val (filterConditions, commonConditions) = split(splitConjunctivePredicates(filterCondition), left, right)

val joinConditions = commonConditions ++ joinCondition.map(splitConjunctivePredicates).getOrElse(Nil)

val transitiveCond = findTransitivePredicates(filterConditions, joinConditions, joinType)

if (transitiveCond.nonEmpty) Filter((transitiveCond + filterCondition).reduce(And), j)
else f

case j @ Join(left, right, joinType, Some(joinCondition)) =>
val (leftRightCondition, commonCondition) = split(splitConjunctivePredicates(joinCondition), left, right)

// We can process only Inner join in this case because otherwise the original
// predicate does not get pushed down and keeps triggering generation of the same
// transitive predicate on each Iteration
joinType match {
case Inner =>
val transitiveCond = findTransitivePredicates(leftRightCondition, commonCondition, joinType)

if (transitiveCond.nonEmpty) j.copy(condition = Option((transitiveCond + joinCondition).reduce(And)))
else j
case _ => j
}
}
}

/**
* Pushes down [[Filter]] operators where the `condition` can be
* evaluated using only the attributes of the left or right side of a join. Other
Expand Down
Original file line number Diff line number Diff line change
@@ -0,0 +1,179 @@
package org.apache.spark.sql.catalyst.optimizer

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

class TransitiveClosureSuite extends PlanTest {
object Optimize extends RuleExecutor[LogicalPlan] {
val batches =
Batch("Subqueries", Once,
EliminateSubQueries) ::
Batch("Filter Pushdown", FixedPoint(4),
SamplePushDown,
CombineFilters,
PushPredicateThroughProject,
BooleanSimplification,
TransitiveClosure,
PushPredicateThroughJoin,
PushPredicateThroughGenerate,
ColumnPruning,
ProjectCollapsing) :: Nil
}

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

val testRelation1 = LocalRelation('d.int)

test("Binary comparison in where clause together with join condition") {
val x = testRelation.subquery('x)
val y = testRelation1.subquery('y)

val originalQuery = {
x.join(y)
.where("x.a".attr === "y.d".attr && "x.a".attr >= 1)
}

val optimized = Optimize.execute(originalQuery.analyze)
val left = testRelation.where('a >= 1)
val right = testRelation1.where('d >= 1)
val correctAnswer =
left.join(right, condition = Some("a".attr === "d".attr)).analyze

comparePlans(optimized, correctAnswer)
}

test("Not and mixed join condition with where clause filter") {
val x = testRelation.subquery('x)
val y = testRelation1.subquery('y)

val originalQuery = {
x.join(y, condition = Option("x.a".attr === "y.d".attr))
.where("x.a".attr !== 1)
}

val optimized = Optimize.execute(originalQuery.analyze)
val left = testRelation.where('a !== 1)
val right = testRelation1.where('d !== 1)
val correctAnswer =
left.join(right, condition = Some("a".attr === "d".attr)).analyze

comparePlans(optimized, correctAnswer)
}

test("In and all conditions are join conditions") {
val x = testRelation.subquery('x)
val y = testRelation1.subquery('y)

val originalQuery = {
x.join(y, condition = Option("x.a".attr === "y.d".attr && ("x.a".attr in (1, 2))))
}

val optimized = Optimize.execute(originalQuery.analyze)
val left = testRelation.where('a in (1, 2))
val right = testRelation1.where('d in (1, 2))
val correctAnswer =
left.join(right, condition = Some("a".attr === "d".attr)).analyze

comparePlans(optimized, correctAnswer)
}

test("Or condition") {
val x = testRelation.subquery('x)
val y = testRelation1.subquery('y)

val originalQuery = {
x.join(y, condition = Option("x.a".attr === "y.d".attr))
.where("x.a".attr === 1 || "x.a".attr === 2)
}

val optimized = Optimize.execute(originalQuery.analyze)
val left = testRelation.where('a === 1 || 'a === 2)
val right = testRelation1.where('d === 1 || 'd === 2)
val correctAnswer =
left.join(right, condition = Some("a".attr === "d".attr)).analyze

comparePlans(optimized, correctAnswer)
}

test("Mixed join and where clause conditions") {
val x = testRelation.subquery('x)
val y = testRelation1.subquery('y)

val originalQuery = {
x.join(y, condition = Option("x.a".attr === "y.d".attr && "y.d".attr === 2))
.where("x.a".attr === 1)
}

val optimized = Optimize.execute(originalQuery.analyze)
val left = testRelation.where('a === 1 && 'a === 2)
val right = testRelation1.where('d === 1 && 'd === 2)
val correctAnswer =
left.join(right, condition = Some("a".attr === "d".attr)).analyze

comparePlans(optimized, correctAnswer)
}

test("Left join works one way") {
val x = testRelation.subquery('x)
val y = testRelation1.subquery('y)

val originalQuery = {
x.join(y, LeftOuter, Option("x.a".attr === "y.d".attr))
.where("x.a".attr === 1 && "y.d".attr === 2)
}

val optimized = Optimize.execute(originalQuery.analyze)
val left = testRelation.where('a === 1)
val right = testRelation1
val correctAnswer =
left.join(right, LeftOuter, Some("a".attr === "d".attr))
.where("d".attr === 1 && "d".attr === 2)
.analyze

comparePlans(optimized, correctAnswer)
}

test("Right join works one way") {
val x = testRelation.subquery('x)
val y = testRelation1.subquery('y)

val originalQuery = {
x.join(y, RightOuter, Option("x.a".attr === "y.d".attr))
.where("y.d".attr === 2 && "x.a".attr === 1)
}

val optimized = Optimize.execute(originalQuery.analyze)
val left = testRelation
val right = testRelation1.where('d === 2)
val correctAnswer =
left.join(right, RightOuter, Some("a".attr === "d".attr))
.where("a".attr === 2 && "a".attr === 1)
.analyze

comparePlans(optimized, correctAnswer)
}

test("Full join does not do anything") {
val x = testRelation.subquery('x)
val y = testRelation1.subquery('y)

val originalQuery = {
x.join(y, FullOuter, Option("x.a".attr === "y.d".attr && "y.d".attr === 2))
.where("x.a".attr === 1)
}

val optimized = Optimize.execute(originalQuery.analyze)
val left = testRelation
val right = testRelation1
val correctAnswer =
left.join(right, FullOuter, Some("a".attr === "d".attr && "d".attr === 2))
.where("a".attr === 1).analyze

comparePlans(optimized, correctAnswer)
}

}