forked from apache/iceberg
/
OrderAwareCoalesce.scala
51 lines (44 loc) · 1.86 KB
/
OrderAwareCoalesce.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.
*/
package org.apache.spark.sql.catalyst.plans.logical
import org.apache.spark.rdd.PartitionCoalescer
import org.apache.spark.rdd.PartitionGroup
import org.apache.spark.rdd.RDD
import org.apache.spark.sql.catalyst.expressions.Attribute
// this node doesn't extend RepartitionOperation on purpose to keep this logic isolated
// and ignore it in optimizer rules such as CollapseRepartition
case class OrderAwareCoalesce(
numPartitions: Int,
coalescer: PartitionCoalescer,
child: LogicalPlan) extends OrderPreservingUnaryNode {
override def output: Seq[Attribute] = child.output
override protected def withNewChildInternal(newChild: LogicalPlan): LogicalPlan = {
copy(child = newChild)
}
}
class OrderAwareCoalescer(val groupSize: Int) extends PartitionCoalescer with Serializable {
override def coalesce(maxPartitions: Int, parent: RDD[_]): Array[PartitionGroup] = {
val partitionBins = parent.partitions.grouped(groupSize)
partitionBins.map { partitions =>
val group = new PartitionGroup()
group.partitions ++= partitions
group
}.toArray
}
}