spark MapPartitionedDStream 源码
spark MapPartitionedDStream 代码
文件路径：/streaming/src/main/scala/org/apache/spark/streaming/dstream/MapPartitionedDStream.scala
/*
* 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.streaming.dstream
import scala.reflect.ClassTag
import org.apache.spark.rdd.RDD
import org.apache.spark.streaming.{Duration, Time}
private[streaming]
class MapPartitionedDStream[T: ClassTag, U: ClassTag](
parent: DStream[T],
mapPartFunc: Iterator[T] => Iterator[U],
preservePartitioning: Boolean
) extends DStream[U](parent.ssc) {
override def dependencies: List[DStream[_]] = List(parent)
override def slideDuration: Duration = parent.slideDuration
override def compute(validTime: Time): Option[RDD[U]] = {
parent.getOrCompute(validTime).map(_.mapPartitions[U](mapPartFunc, preservePartitioning))
}
}
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