WIP

examples/src/main/python/streaming/test_oprations.py

@@ -0,0 +1,24 @@
+import sys
+from operator import add
+
+from pyspark.conf import SparkConf
+from pyspark.streaming.context import StreamingContext
+from pyspark.streaming.duration import *
+
+if __name__ == "__main__":
+    if len(sys.argv) != 3:
+        print >> sys.stderr, "Usage: wordcount <hostname> <port>"
+        exit(-1)
+    conf = SparkConf()
+    conf.setAppName("PythonStreamingNetworkWordCount")
+    ssc = StreamingContext(conf=conf, duration=Seconds(1))
+
+    lines = ssc.socketTextStream(sys.argv[1], int(sys.argv[2]))
+    words = lines.flatMap(lambda line: line.split(" "))
+    mapped_words = words.map(lambda word: (word, 1))
+    count = mapped_words.reduceByKey(add)
+
+    count.pyprint()
+    ssc.start()
+#    ssc.awaitTermination()
+    ssc.stop()

python/pyspark/streaming/dstream.py

@@ -120,7 +120,6 @@ def _mergeCombiners(iterator):
                     combiners[k] = v
                 else:
                     combiners[k] = mergeCombiners(combiners[k], v)
-            return combiners.iteritems()
 
         return shuffled._mapPartitions(_mergeCombiners)
 

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

@@ -124,4 +124,5 @@ class PythonTransformedDStream(
 
   val asJavaDStream  = JavaDStream.fromDStream(this)
 }
-*/
+*/
+