Github user jhu-chang commented on the pull request:
https://github.com/apache/spark/pull/8881#issuecomment-143121026
@jerryshao This is an extreme sample, it is not a real case, just to
demonstrate the issue of RDD.empty, you can see the dependency increasing all
the time and final stack over flow will happen (You can say it is usage error).
Do you know which kind of operations/dstreams will introduce undefined behavior
with ```None``` and what's the appearance?
```
ssc.socketTextStream("localhost", 9999).map(x => (x,1)).updateStateByKey(
(inputs : Seq[Int], oldr : Option[Int]) => {
inputs.headOption
}
).transform(rdd => {
println(rdd.toDebugString.split("\n").length)
sparkContext.makeRDD(Seq[Int]())
}).print
```
Anyway, I will change the PR to throw exception.
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