Spark Streaming share state between two streams

[Shekhar Bansal]

HiCan we share spark streaming state between two DStreams??Basically I want to 
create state using first stream and enrich second stream using state.Example: I 
have modified StatefulNetworkWordCount example. I am creating state using first 
stream and enriching second stream with count of first stream.val initialRDD = 
ssc.sparkContext.parallelize(List(("hello", 1), ("world", 1)))


val mappingFuncForFirstStream = (batchTime: Time, word: String, one: 
Option[Int], state: State[Int]) => {
  val sum = one.getOrElse(0) + state.getOption.getOrElse(0)
  val output = (word, sum)
  state.update(sum)

  Some(output)
}

val mappingFuncForSecondStream = (batchTime: Time, word: String, one: 
Option[Int], state: State[Int]) => {
  val sum = state.getOption.getOrElse(0)
  val output = (word, sum)

  Some(output)
}



// first stream
KafkaUtils.createDirectStream[String, String, StringDecoder, 
StringDecoder](ssc, kafkaParams, topicsSet)
  .flatMap(r=>r._2.split(" "))
  .map(x => (x, 1))
  
.mapWithState(StateSpec.function(mappingFuncForFirstStream).initialState(initialRDD).timeout(Minutes(10)))
  .print(1)



// second stream
KafkaUtils.createDirectStream[String, String, StringDecoder, 
StringDecoder](ssc, kafkaParams2, mergeTopicSet)
  .flatMap(r=>r._2.split(" "))
  .map(x => (x, 1))
  
.mapWithState(StateSpec.function(mappingFuncForSecondStream).initialState(initialRDD).timeout(Minutes(10)))
  .print(50)
In checkpointing directory, I can see two different state RDDs.I am using 
spark-1.6.1 and kafka-0.8.2.1
RegardsShekhar