title: How to parallelize an RDD?
body: <p>To read a file into memory I use : </p>
  
  <pre><code>val lines = sc.textFile("myLogFile*")
  </code></pre>
  
  <p>which is of type :</p>
  
  <pre><code>org.apache.spark.rdd.RDD[String] = MappedRDD[1] at textFile at &lt;console&gt;:12
  </code></pre>
  
  <p>Reading the Scala doc at : <a href="http://spark.apache.org/docs/0.9.1/scala-programming-guide.html#parallelized-collections" rel="noreferrer">http://spark.apache.org/docs/0.9.1/scala-programming-guide.html#parallelized-collections</a>
  "Parallelized collections are created by calling SparkContext’s parallelize method on an existing Scala collection (a Seq object)."</p>
  
  <p>This does not seem to apply to an RDD ? Can parallelized processing occur on an RDD ? Do I need to convert the RDD to a Seq object ?</p>