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[VL] Rewrite collect_set and collect_list aggregate function (apache#…
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141
gluten-core/src/main/scala/io/glutenproject/extension/RewriteCollect.scala
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/* | ||
* 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 io.glutenproject.extension | ||
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import io.glutenproject.backendsapi.BackendsApiManager | ||
import io.glutenproject.utils.PullOutProjectHelper | ||
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import org.apache.spark.sql.catalyst.expressions.{And, Attribute, AttributeSet, If, IsNotNull, IsNull, Literal, NamedExpression} | ||
import org.apache.spark.sql.catalyst.expressions.aggregate.{AggregateExpression, CollectList, CollectSet, Complete, Final, Partial} | ||
import org.apache.spark.sql.catalyst.rules.Rule | ||
import org.apache.spark.sql.execution.SparkPlan | ||
import org.apache.spark.sql.execution.aggregate.BaseAggregateExec | ||
import org.apache.spark.sql.types.ArrayType | ||
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import scala.collection.mutable.ArrayBuffer | ||
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/** | ||
* This rule rewrite collect_set and collect_list to be compatible with vanilla Spark. | ||
* | ||
* - Add `IsNotNull(partial_in)` to skip null value before going to native collect_set | ||
* - Add `If(IsNull(result), CreateArray(Seq.empty), result)` to replace null to empty array | ||
* | ||
* TODO: remove this rule once Velox compatible with vanilla Spark. | ||
*/ | ||
object RewriteCollect extends Rule[SparkPlan] with PullOutProjectHelper { | ||
private lazy val shouldRewriteCollect = | ||
BackendsApiManager.getSettings.shouldRewriteCollect() | ||
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private def shouldAddIsNotNull(ae: AggregateExpression): Boolean = { | ||
ae.aggregateFunction match { | ||
case c: CollectSet if c.child.nullable => | ||
ae.mode match { | ||
case Partial | Complete => true | ||
case _ => false | ||
} | ||
case _ => false | ||
} | ||
} | ||
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private def shouldReplaceNullToEmptyArray(ae: AggregateExpression): Boolean = { | ||
ae.aggregateFunction match { | ||
case _: CollectSet | _: CollectList => | ||
ae.mode match { | ||
case Final | Complete => true | ||
case _ => false | ||
} | ||
case _ => false | ||
} | ||
} | ||
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private def shouldRewrite(agg: BaseAggregateExec): Boolean = { | ||
agg.aggregateExpressions.exists { | ||
ae => shouldAddIsNotNull(ae) || shouldReplaceNullToEmptyArray(ae) | ||
} | ||
} | ||
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private def rewriteCollectFilter(aggExprs: Seq[AggregateExpression]): Seq[AggregateExpression] = { | ||
aggExprs | ||
.map { | ||
aggExpr => | ||
if (shouldAddIsNotNull(aggExpr)) { | ||
val newFilter = | ||
(aggExpr.filter ++ Seq(IsNotNull(aggExpr.aggregateFunction.children.head))) | ||
.reduce(And) | ||
aggExpr.copy(filter = Option(newFilter)) | ||
} else { | ||
aggExpr | ||
} | ||
} | ||
} | ||
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private def rewriteAttributesAndResultExpressions( | ||
agg: BaseAggregateExec): (Seq[Attribute], Seq[NamedExpression]) = { | ||
val rewriteAggExprIndices = agg.aggregateExpressions.zipWithIndex | ||
.filter(exprAndIndex => shouldReplaceNullToEmptyArray(exprAndIndex._1)) | ||
.map(_._2) | ||
.toSet | ||
if (rewriteAggExprIndices.isEmpty) { | ||
return (agg.aggregateAttributes, agg.resultExpressions) | ||
} | ||
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assert(agg.aggregateExpressions.size == agg.aggregateAttributes.size) | ||
val rewriteAggAttributes = new ArrayBuffer[Attribute]() | ||
val newAggregateAttributes = agg.aggregateAttributes.zipWithIndex.map { | ||
case (attr, index) => | ||
if (rewriteAggExprIndices.contains(index)) { | ||
rewriteAggAttributes.append(attr) | ||
// We should mark attribute as withNullability since the collect_set and collect_set | ||
// are not nullable but velox may return null. This is to avoid potential issue when | ||
// the post project fallback to vanilla Spark. | ||
attr.withNullability(true) | ||
} else { | ||
attr | ||
} | ||
} | ||
val rewriteAggAttributeSet = AttributeSet(rewriteAggAttributes) | ||
val newResultExpressions = agg.resultExpressions.map { | ||
ne => | ||
val rewritten = ne.transformUp { | ||
case attr: Attribute if rewriteAggAttributeSet.contains(attr) => | ||
assert(attr.dataType.isInstanceOf[ArrayType]) | ||
If(IsNull(attr), Literal.create(Seq.empty, attr.dataType), attr) | ||
} | ||
assert(rewritten.isInstanceOf[NamedExpression]) | ||
rewritten.asInstanceOf[NamedExpression] | ||
} | ||
(newAggregateAttributes, newResultExpressions) | ||
} | ||
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override def apply(plan: SparkPlan): SparkPlan = { | ||
if (!shouldRewriteCollect) { | ||
return plan | ||
} | ||
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plan match { | ||
case agg: BaseAggregateExec if shouldRewrite(agg) => | ||
val newAggExprs = rewriteCollectFilter(agg.aggregateExpressions) | ||
val (newAttributes, newResultExprs) = rewriteAttributesAndResultExpressions(agg) | ||
copyBaseAggregateExec(agg)( | ||
newAggregateExpressions = newAggExprs, | ||
newAggregateAttributes = newAttributes, | ||
newResultExpressions = newResultExprs) | ||
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case _ => plan | ||
} | ||
} | ||
} |
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