spark PushProjectionThroughLimit 源码
spark PushProjectionThroughLimit 代码
文件路径：/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/optimizer/PushProjectionThroughLimit.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.optimizer
import org.apache.spark.sql.catalyst.plans.logical.{GlobalLimit, LocalLimit, LogicalPlan, Project}
import org.apache.spark.sql.catalyst.rules.Rule
import org.apache.spark.sql.catalyst.trees.TreePattern.{LIMIT, PROJECT}
/**
* Pushes Project operator through Limit operator.
*/
object PushProjectionThroughLimit extends Rule[LogicalPlan] {
def apply(plan: LogicalPlan): LogicalPlan = plan.transformWithPruning(
_.containsAllPatterns(PROJECT, LIMIT)) {
case p @ Project(projectList, limit @ LocalLimit(_, child))
if projectList.forall(_.deterministic) =>
limit.copy(child = p.copy(projectList, child))
case p @ Project(projectList, g @ GlobalLimit(_, limit @ LocalLimit(_, child)))
if projectList.forall(_.deterministic) =>
g.copy(child = limit.copy(child = p.copy(projectList, child)))
}
}
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