Will multiple filters on the same RDD optimized to one filter?

[Bin Wang]

If I write code like this:

val rdd = input.map(_.value)
val f1 = rdd.filter(_ == 1)
val f2 = rdd.filter(_ == 2)
...

Then the DAG of the execution may be this:

         -> Filter -> ...
Map
         -> Filter -> ...

But the two filters is operated on the same RDD, which means it could be
done by just scan the RDD once. Does spark have this kind optimization for
now?