spark EmptyRDD 源码
spark EmptyRDD 代码
文件路径：/core/src/main/scala/org/apache/spark/rdd/EmptyRDD.scala
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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
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package org.apache.spark.rdd
import scala.reflect.ClassTag
import org.apache.spark.{Partition, SparkContext, TaskContext}
import org.apache.spark.errors.SparkCoreErrors
/**
* An RDD that has no partitions and no elements.
*/
private[spark] class EmptyRDD[T: ClassTag](sc: SparkContext) extends RDD[T](sc, Nil) {
override def getPartitions: Array[Partition] = Array.empty
override def compute(split: Partition, context: TaskContext): Iterator[T] = {
throw SparkCoreErrors.emptyRDDError()
}
}
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