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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 spark.rdd
import spark.{RDD, Partition, TaskContext}
private[spark]
class MapPartitionsRDD[U: ClassManifest, T: ClassManifest](
prev: RDD[T],
f: Iterator[T] => Iterator[U],
preservesPartitioning: Boolean = false)
extends RDD[U](prev) {
override val partitioner =
if (preservesPartitioning) firstParent[T].partitioner else None
override def getPartitions: Array[Partition] = firstParent[T].partitions
override def compute(split: Partition, context: TaskContext) =
f(firstParent[T].iterator(split, context))
}
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