comment PythonDStream.PairwiseDStream

streaming/src/main/scala/org/apache/spark/streaming/api/python/PythonDStream.scala

@@ -129,7 +129,7 @@ class PythonDStream[T: ClassTag](
   }
 }
 
-
+/*
 private class PairwiseDStream(prev:DStream[Array[Byte]]) extends
 DStream[(Long, Array[Byte])](prev.ssc){
   override def dependencies = List(prev)
@@ -146,6 +146,7 @@ DStream[(Long, Array[Byte])](prev.ssc){
   }
   val asJavaPairDStream : JavaPairDStream[Long, Array[Byte]] = JavaPairDStream(this)
 }
+*/
 
 
 

streaming/src/main/scala/org/apache/spark/streaming/dstream/DStream.scala

@@ -620,10 +620,7 @@ abstract class DStream[T: ClassTag] (
     new ForEachDStream(this, context.sparkContext.clean(foreachFunc)).register()
   }
 
-
-
-
-
+//TODO move pyprint to PythonDStream
   /**
    * Print the first ten elements of each PythonRDD generated in this PythonDStream. This is an output
    * operator, so this PythonDStream will be registered as an output stream and there materialized.
@@ -644,6 +641,7 @@ abstract class DStream[T: ClassTag] (
       tempFileStream.close()
 
       // This value has to be passed from python
+      // Python currently does not do cluster deployment. But what happened
       val pythonExec = new ProcessBuilder().environment().get("PYSPARK_PYTHON")
       val sparkHome = new ProcessBuilder().environment().get("SPARK_HOME")
       //val pb = new ProcessBuilder(Seq(pythonExec, sparkHome + "/python/pyspark/streaming/pyprint.py", tempFile.getAbsolutePath())) // why this fails to compile???