spark ResolveWithCTE 源码
spark ResolveWithCTE 代码
文件路径:/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/ResolveWithCTE.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 scala.collection.mutable
import org.apache.spark.sql.catalyst.expressions.SubqueryExpression
import org.apache.spark.sql.catalyst.plans.logical.{CTERelationDef, CTERelationRef, LogicalPlan, WithCTE}
import org.apache.spark.sql.catalyst.rules.Rule
import org.apache.spark.sql.catalyst.trees.TreePattern.{CTE, PLAN_EXPRESSION}
/**
* Updates CTE references with the resolve output attributes of corresponding CTE definitions.
*/
object ResolveWithCTE extends Rule[LogicalPlan] {
override def apply(plan: LogicalPlan): LogicalPlan = {
if (plan.containsAllPatterns(CTE)) {
val cteDefMap = mutable.HashMap.empty[Long, CTERelationDef]
resolveWithCTE(plan, cteDefMap)
} else {
plan
}
}
private def resolveWithCTE(
plan: LogicalPlan,
cteDefMap: mutable.HashMap[Long, CTERelationDef]): LogicalPlan = {
plan.resolveOperatorsDownWithPruning(_.containsAllPatterns(CTE)) {
case w @ WithCTE(_, cteDefs) =>
cteDefs.foreach { cteDef =>
if (cteDef.resolved) {
cteDefMap.put(cteDef.id, cteDef)
}
}
w
case ref: CTERelationRef if !ref.resolved =>
cteDefMap.get(ref.cteId).map { cteDef =>
CTERelationRef(cteDef.id, cteDef.resolved, cteDef.output)
}.getOrElse {
ref
}
case other =>
other.transformExpressionsWithPruning(_.containsAllPatterns(PLAN_EXPRESSION, CTE)) {
case e: SubqueryExpression => e.withNewPlan(resolveWithCTE(e.plan, cteDefMap))
}
}
}
}
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
-
7、 golang
-
9、 openharmony
-
10、 Vue中input框自动聚焦