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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.{OneToOneDependency, RDD, Partition, TaskContext}
private[spark] class FilteredRDD[T: ClassManifest](
prev: RDD[T],
f: T => Boolean)
extends RDD[T](prev) {
override def getPartitions: Array[Partition] = firstParent[T].partitions
override val partitioner = prev.partitioner // Since filter cannot change a partition's keys
override def compute(split: Partition, context: TaskContext) =
firstParent[T].iterator(split, context).filter(f)
}
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