com.nvidia.spark.rapids.LocationPreservingMapPartitionsRDD.scala Maven / Gradle / Ivy
Go to download
Show more of this group Show more artifacts with this name
Show all versions of rapids-4-spark_2.13 Show documentation
Show all versions of rapids-4-spark_2.13 Show documentation
Creates the distribution package of the RAPIDS plugin for Apache Spark
/*
* Copyright (c) 2023, NVIDIA CORPORATION.
*
* Licensed 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.rapids
import scala.reflect.ClassTag
import org.apache.spark.{Partition, TaskContext}
import org.apache.spark.rdd.{MapPartitionsRDD, RDD}
object LocationPreservingMapPartitionsRDD {
def apply[U: ClassTag, T: ClassTag](prev: RDD[T],
preservesPartitioning: Boolean = false)
(f: Iterator[T] => Iterator[U]): RDD[U] = prev.withScope {
new LocationPreservingMapPartitionsRDD(
prev,
(_: TaskContext, _: Int, iter: Iterator[T]) => f(iter),
preservesPartitioning)
}
}
/**
* Used for a map partitions where we want to be sure that the location information is not lost
*/
class LocationPreservingMapPartitionsRDD[U: ClassTag, T: ClassTag](
prev: RDD[T],
f: (TaskContext, Int, Iterator[T]) => Iterator[U], // (TaskContext, partition index, iterator)
preservesPartitioning: Boolean = false,
isFromBarrier: Boolean = false,
isOrderSensitive: Boolean = false)
extends MapPartitionsRDD[U, T](
prev,
f,
preservesPartitioning = preservesPartitioning,
isFromBarrier = isFromBarrier,
isOrderSensitive = isOrderSensitive) {
override def getPreferredLocations(split: Partition): Seq[String] =
prev.preferredLocations(split)
}