spark RemoveRedundantSorts 源码
spark RemoveRedundantSorts 代码
文件路径：/sql/core/src/main/scala/org/apache/spark/sql/execution/RemoveRedundantSorts.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.execution
import org.apache.spark.sql.catalyst.expressions.SortOrder
import org.apache.spark.sql.catalyst.rules.Rule
import org.apache.spark.sql.internal.SQLConf
/**
* Remove redundant SortExec node from the spark plan. A sort node is redundant when
* its child satisfies both its sort orders and its required child distribution. Note
* this rule differs from the Optimizer rule EliminateSorts in that this rule also checks
* if the child satisfies the required distribution so that it is safe to remove not only a
* local sort but also a global sort when its child already satisfies required sort orders.
*/
object RemoveRedundantSorts extends Rule[SparkPlan] {
def apply(plan: SparkPlan): SparkPlan = {
if (!conf.getConf(SQLConf.REMOVE_REDUNDANT_SORTS_ENABLED)) {
plan
} else {
removeSorts(plan)
}
}
private def removeSorts(plan: SparkPlan): SparkPlan = plan transform {
case s @ SortExec(orders, _, child, _)
if SortOrder.orderingSatisfies(child.outputOrdering, orders) &&
child.outputPartitioning.satisfies(s.requiredChildDistribution.head) =>
child
}
}
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