title: For each RDD in a DStream how do I convert this to an array or some other typical Java data type?
body: <p>I would like to convert a DStream into an array, list, etc. so I can then translate it to json and serve it on an endpoint. I'm using apache spark, injecting twitter data. How do I preform this operation on the Dstream <code>statuses</code>? I can't seem to get anything to work other than <code>print()</code>. </p>
  
  <pre><code>import org.apache.spark._
  import org.apache.spark.SparkContext._
  import org.apache.spark.streaming._
  import org.apache.spark.streaming.twitter._
  import org.apache.spark.streaming.StreamingContext._
  import TutorialHelper._
  object Tutorial {
    def main(args: Array[String]) {
  
      // Location of the Spark directory 
      val sparkHome = "/opt/spark"
  
      // URL of the Spark cluster
      val sparkUrl = "local[8]"
  
      // Location of the required JAR files 
      val jarFile = "target/scala-2.10/tutorial_2.10-0.1-SNAPSHOT.jar"
  
      // HDFS directory for checkpointing
      val checkpointDir = "/tmp" 
  
      // Configure Twitter credentials using twitter.txt
      TutorialHelper.configureTwitterCredentials()
  
      val ssc = new StreamingContext(sparkUrl, "Tutorial", Seconds(1), sparkHome, Seq(jarFile))
  
      val filters = Array("#americasgottalent", "iamawesome")
      val tweets = TwitterUtils.createStream(ssc, None, filters)
  
      val statuses = tweets.map(status =&gt; status.getText())
  
      val arry = Array("firstval")
      statuses.foreachRDD {
           arr :+ _.collect()
      }
  
      ssc.checkpoint(checkpointDir)
  
      ssc.start()
      ssc.awaitTermination()
    }
  }
  </code></pre>