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Factor out NormalizePlan to be later used in single-pass Analyzer tes…
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sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/plans/NormalizePlan.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. | ||
*/ | ||
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package org.apache.spark.sql.catalyst.plans | ||
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import org.apache.spark.sql.catalyst.analysis.GetViewColumnByNameAndOrdinal | ||
import org.apache.spark.sql.catalyst.expressions._ | ||
import org.apache.spark.sql.catalyst.expressions.aggregate.AggregateExpression | ||
import org.apache.spark.sql.catalyst.plans.logical._ | ||
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object NormalizePlan extends PredicateHelper { | ||
def apply(plan: LogicalPlan): LogicalPlan = | ||
normalizePlan(normalizeExprIds(plan)) | ||
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/** | ||
* Since attribute references are given globally unique ids during analysis, | ||
* we must normalize them to check if two different queries are identical. | ||
*/ | ||
def normalizeExprIds(plan: LogicalPlan): LogicalPlan = { | ||
plan transformAllExpressions { | ||
case s: ScalarSubquery => | ||
s.copy(plan = normalizeExprIds(s.plan), exprId = ExprId(0)) | ||
case s: LateralSubquery => | ||
s.copy(plan = normalizeExprIds(s.plan), exprId = ExprId(0)) | ||
case e: Exists => | ||
e.copy(plan = normalizeExprIds(e.plan), exprId = ExprId(0)) | ||
case l: ListQuery => | ||
l.copy(plan = normalizeExprIds(l.plan), exprId = ExprId(0)) | ||
case a: AttributeReference => | ||
AttributeReference(a.name, a.dataType, a.nullable)(exprId = ExprId(0)) | ||
case OuterReference(a: AttributeReference) => | ||
OuterReference(AttributeReference(a.name, a.dataType, a.nullable)(exprId = ExprId(0))) | ||
case a: Alias => | ||
Alias(a.child, a.name)(exprId = ExprId(0)) | ||
case OuterReference(a: Alias) => | ||
OuterReference(Alias(a.child, a.name)(exprId = ExprId(0))) | ||
case ae: AggregateExpression => | ||
ae.copy(resultId = ExprId(0)) | ||
case lv: NamedLambdaVariable => | ||
lv.copy(exprId = ExprId(0), value = null) | ||
case udf: PythonUDF => | ||
udf.copy(resultId = ExprId(0)) | ||
case udaf: PythonUDAF => | ||
udaf.copy(resultId = ExprId(0)) | ||
case a: FunctionTableSubqueryArgumentExpression => | ||
a.copy(plan = normalizeExprIds(a.plan), exprId = ExprId(0)) | ||
} | ||
} | ||
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/** | ||
* Normalizes plans: | ||
* - Filter the filter conditions that appear in a plan. For instance, | ||
* ((expr 1 && expr 2) && expr 3), (expr 1 && expr 2 && expr 3), (expr 3 && (expr 1 && expr 2) | ||
* etc., will all now be equivalent. | ||
* - Sample the seed will replaced by 0L. | ||
* - Join conditions will be resorted by hashCode. | ||
*/ | ||
def normalizePlan(plan: LogicalPlan): LogicalPlan = { | ||
plan transform { | ||
case Filter(condition: Expression, child: LogicalPlan) => | ||
Filter( | ||
splitConjunctivePredicates(condition) | ||
.map(rewriteBinaryComparison) | ||
.sortBy(_.hashCode()) | ||
.reduce(And), | ||
child | ||
) | ||
case sample: Sample => | ||
sample.copy(seed = 0L) | ||
case Join(left, right, joinType, condition, hint) if condition.isDefined => | ||
val newJoinType = joinType match { | ||
case ExistenceJoin(a: Attribute) => | ||
val newAttr = AttributeReference(a.name, a.dataType, a.nullable)(exprId = ExprId(0)) | ||
ExistenceJoin(newAttr) | ||
case other => other | ||
} | ||
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val newCondition = | ||
splitConjunctivePredicates(condition.get) | ||
.map(rewriteBinaryComparison) | ||
.sortBy(_.hashCode()) | ||
.reduce(And) | ||
Join(left, right, newJoinType, Some(newCondition), hint) | ||
case Project(projectList, child) => | ||
val projList = projectList | ||
.map { e => | ||
e.transformUp { | ||
case g: GetViewColumnByNameAndOrdinal => g.copy(viewDDL = None) | ||
} | ||
} | ||
.asInstanceOf[Seq[NamedExpression]] | ||
Project(projList, child) | ||
case c: KeepAnalyzedQuery => c.storeAnalyzedQuery() | ||
} | ||
} | ||
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/** | ||
* Rewrite [[BinaryComparison]] operator to keep order. The following cases will be | ||
* equivalent: | ||
* 1. (a = b), (b = a); | ||
* 2. (a <=> b), (b <=> a). | ||
* 3. (a > b), (b < a) | ||
*/ | ||
private def rewriteBinaryComparison(condition: Expression): Expression = condition match { | ||
case EqualTo(l, r) => Seq(l, r).sortBy(_.hashCode()).reduce(EqualTo) | ||
case EqualNullSafe(l, r) => Seq(l, r).sortBy(_.hashCode()).reduce(EqualNullSafe) | ||
case GreaterThan(l, r) if l.hashCode() > r.hashCode() => LessThan(r, l) | ||
case LessThan(l, r) if l.hashCode() > r.hashCode() => GreaterThan(r, l) | ||
case GreaterThanOrEqual(l, r) if l.hashCode() > r.hashCode() => LessThanOrEqual(r, l) | ||
case LessThanOrEqual(l, r) if l.hashCode() > r.hashCode() => GreaterThanOrEqual(r, l) | ||
case _ => condition // Don't reorder. | ||
} | ||
} |
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