1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
|
/*
* 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._
import scala.Some
import scala.Some
private[spark] class ShuffledRDDPartition(val idx: Int) extends Partition {
override val index = idx
override def hashCode(): Int = idx
}
/**
* The resulting RDD from a shuffle (e.g. repartitioning of data).
* @param prev the parent RDD.
* @param part the partitioner used to partition the RDD
* @tparam K the key class.
* @tparam V the value class.
*/
class ShuffledRDD[K, V](
@transient var prev: RDD[(K, V)],
part: Partitioner)
extends RDD[(K, V)](prev.context, Nil) {
private var serializerClass: String = null
def setSerializer(cls: String): ShuffledRDD[K, V] = {
serializerClass = cls
this
}
override def getDependencies: Seq[Dependency[_]] = {
List(new ShuffleDependency(prev, part, serializerClass))
}
override val partitioner = Some(part)
override def getPartitions: Array[Partition] = {
Array.tabulate[Partition](part.numPartitions)(i => new ShuffledRDDPartition(i))
}
override def compute(split: Partition, context: TaskContext): Iterator[(K, V)] = {
val shuffledId = dependencies.head.asInstanceOf[ShuffleDependency[K, V]].shuffleId
SparkEnv.get.shuffleFetcher.fetch[K, V](shuffledId, split.index, context.taskMetrics,
SparkEnv.get.serializerManager.get(serializerClass))
}
override def clearDependencies() {
super.clearDependencies()
prev = null
}
}
|