spark JavaHadoopRDD 源码
spark JavaHadoopRDD 代码
文件路径：/core/src/main/scala/org/apache/spark/api/java/JavaHadoopRDD.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.api.java
import scala.collection.JavaConverters._
import scala.reflect.ClassTag
import org.apache.hadoop.mapred.InputSplit
import org.apache.spark.annotation.DeveloperApi
import org.apache.spark.api.java.JavaSparkContext._
import org.apache.spark.api.java.function.{Function2 => JFunction2}
import org.apache.spark.rdd.HadoopRDD
@DeveloperApi
class JavaHadoopRDD[K, V](rdd: HadoopRDD[K, V])
(implicit override val kClassTag: ClassTag[K], implicit override val vClassTag: ClassTag[V])
extends JavaPairRDD[K, V](rdd) {
/** Maps over a partition, providing the InputSplit that was used as the base of the partition. */
@DeveloperApi
def mapPartitionsWithInputSplit[R](
f: JFunction2[InputSplit, java.util.Iterator[(K, V)], java.util.Iterator[R]],
preservesPartitioning: Boolean = false): JavaRDD[R] = {
new JavaRDD(rdd.mapPartitionsWithInputSplit((a, b) => f.call(a, b.asJava).asScala,
preservesPartitioning)(fakeClassTag))(fakeClassTag)
}
}
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