spark SubstituteUnresolvedOrdinals 源码
spark SubstituteUnresolvedOrdinals 代码
文件路径:/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/SubstituteUnresolvedOrdinals.scala
/*
* 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.analysis
import org.apache.spark.sql.catalyst.expressions.{BaseGroupingSets, Expression, Literal, SortOrder}
import org.apache.spark.sql.catalyst.plans.logical.{Aggregate, LogicalPlan, Sort}
import org.apache.spark.sql.catalyst.rules.Rule
import org.apache.spark.sql.catalyst.trees.CurrentOrigin.withOrigin
import org.apache.spark.sql.catalyst.trees.TreePattern._
import org.apache.spark.sql.types.IntegerType
/**
* Replaces ordinal in 'order by' or 'group by' with UnresolvedOrdinal expression.
*/
object SubstituteUnresolvedOrdinals extends Rule[LogicalPlan] {
private def containIntLiteral(e: Expression): Boolean = e match {
case Literal(_, IntegerType) => true
case gs: BaseGroupingSets => gs.children.exists(containIntLiteral)
case _ => false
}
private def substituteUnresolvedOrdinal(expression: Expression): Expression = expression match {
case ordinal @ Literal(index: Int, IntegerType) =>
withOrigin(ordinal.origin)(UnresolvedOrdinal(index))
case e => e
}
def apply(plan: LogicalPlan): LogicalPlan = plan.resolveOperatorsWithPruning(
t => t.containsPattern(LITERAL) && t.containsAnyPattern(AGGREGATE, SORT), ruleId) {
case s: Sort if conf.orderByOrdinal && s.order.exists(o => containIntLiteral(o.child)) =>
val newOrders = s.order.map {
case order @ SortOrder(ordinal @ Literal(index: Int, IntegerType), _, _, _) =>
val newOrdinal = withOrigin(ordinal.origin)(UnresolvedOrdinal(index))
withOrigin(order.origin)(order.copy(child = newOrdinal))
case other => other
}
withOrigin(s.origin)(s.copy(order = newOrders))
case a: Aggregate if conf.groupByOrdinal && a.groupingExpressions.exists(containIntLiteral) =>
val newGroups = a.groupingExpressions.map {
case ordinal @ Literal(index: Int, IntegerType) =>
withOrigin(ordinal.origin)(UnresolvedOrdinal(index))
case gs: BaseGroupingSets =>
withOrigin(gs.origin)(gs.withNewChildren(gs.children.map(substituteUnresolvedOrdinal)))
case other => other
}
withOrigin(a.origin)(a.copy(groupingExpressions = newGroups))
}
}
相关信息
相关文章
spark AlreadyExistException 源码
0
赞
- 所属分类: 前端技术
- 本文标签:
热门推荐
-
2、 - 优质文章
-
3、 gate.io
-
8、 golang
-
9、 openharmony
-
10、 Vue中input框自动聚焦