Github user redbaron commented on the pull request:
https://github.com/apache/spark/pull/5147#issuecomment-89822406
Guys, so what do you think? There is no easy way to achieve same goal
without copy-pasting a whole PipeRDD into a new one.
For a moment I thought I can get away with:
```
class PPipeRDD[T: ClassTag]( prev: RDD[T],
cmdFunc: (Partition) => Seq[String],
envFunc: (Partition) => Map[String, String])
extends RDD[String](prev) {
override protected def getPartitions = prev.partitions
override def compute(split: Partition, context: TaskContext) =
prev.pipe(cmdFunc(split),envFunc(split)).compute(split, context)
}
```
But then I was caught by SPARK-5063. So there is no easy way to get it
without changing spark itself.
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