Github user aarondav commented on a diff in the pull request:
https://github.com/apache/spark/pull/1385#discussion_r14862987
--- Diff: core/src/main/scala/org/apache/spark/SparkContext.scala ---
@@ -552,17 +552,10 @@ class SparkContext(config: SparkConf) extends Logging
{
valueClass: Class[V],
minPartitions: Int = defaultMinPartitions
): RDD[(K, V)] = {
- // A Hadoop configuration can be about 10 KB, which is pretty big, so
broadcast it.
- val confBroadcast = broadcast(new
SerializableWritable(hadoopConfiguration))
- val setInputPathsFunc = (jobConf: JobConf) =>
FileInputFormat.setInputPaths(jobConf, path)
--- End diff --
Do you know if there was ever a reason we broadcasted the Configuration and
this lambda, just to turn it into a JobConf on the Executor side? Was it really
just extra work for no reason?
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