Github user aarondav commented on a diff in the pull request:
https://github.com/apache/spark/pull/101#discussion_r10546475
--- Diff: core/src/main/scala/org/apache/spark/rdd/HadoopRDD.scala ---
@@ -165,12 +174,29 @@ class HadoopRDD[K, V](
override def compute(theSplit: Partition, context: TaskContext) = {
val iter = new NextIterator[(K, V)] {
+
+ private def localizeConfiguration(conf: JobConf) {
+ //generate job id
+ val stageId = context.stageId
+ val dummyJobTrackerID = new
SimpleDateFormat("yyyyMMddHHmm").format(createTime)
+ val jobId = new JobID(dummyJobTrackerID, stageId)
--- End diff --
SparkHadoopWriter allows the user to specify the jobId, though here was set
it to be stageId. What are the requirements on JobID? It is possible that
multiple HadoopRDDs actually output the same JobId, for instance, if they're
connected via a narrow dependency (and thus within the same stage). Is that a
problem?
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