Github user rajeshbalamohan commented on the pull request:
https://github.com/apache/spark/pull/11978#issuecomment-204307805
@andrewor14 - Not sure if I understood your last comment. Currently no
direct invocation to HadoopRDD (with initLocalJobConfFuncOpt) is made in
Spark. Later point in time, if change is needed to invoke HadoopRDD (with
initLocalJobConfFuncOpt) via SparkContext, following method could be added
which cleans up the function.
```
def hadoopRDD[K, V](
broadcastedConf: Broadcast[SerializableConfiguration],
initLocalJobConfFuncOpt: Option[JobConf => Unit],
inputFormatClass: Class[_ <: InputFormat[K, V]],
keyClass: Class[K],
valueClass: Class[V],
minPartitions: Int = defaultMinPartitions): RDD[(K, V)] = withScope {
assertNotStopped()
clean(initLocalJobConfFuncOpt)
new HadoopRDD(this, broadcastedConf, initLocalJobConfFuncOpt,
inputFormatClass, keyClass, valueClass, minPartitions)
}
```
But, I am not sure whether we need to clean sc.hadoopRDD in this patch.
Please let me know.
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