Revise formatting of previous commit f80e262

Author: srowen

examples/src/main/java/org/apache/spark/examples/streaming/JavaStatefulNetworkWordCount.java

@@ -39,7 +39,6 @@
 import org.apache.spark.streaming.api.java.JavaReceiverInputDStream;
 import org.apache.spark.streaming.api.java.JavaStreamingContext;
 
-
 /**
  * Counts words cumulatively in UTF8 encoded, '\n' delimited text received from the network every
  * second starting with initial value of word count.
@@ -65,17 +64,17 @@ public static void main(String[] args) {
     StreamingExamples.setStreamingLogLevels();
 
     // Update the cumulative count function
-    final Function2<List<Integer>, Optional<Integer>, Optional<Integer>> updateFunction = new
-            Function2<List<Integer>, Optional<Integer>, Optional<Integer>>() {
-              @Override
-              public Optional<Integer> call(List<Integer> values, Optional<Integer> state) {
-                Integer newSum = state.or(0);
-                for (Integer value : values) {
-                  newSum += value;
-                }
-                return Optional.of(newSum);
-              }
-            };
+    final Function2<List<Integer>, Optional<Integer>, Optional<Integer>> updateFunction =
+        new Function2<List<Integer>, Optional<Integer>, Optional<Integer>>() {
+          @Override
+          public Optional<Integer> call(List<Integer> values, Optional<Integer> state) {
+            Integer newSum = state.or(0);
+            for (Integer value : values) {
+              newSum += value;
+            }
+            return Optional.of(newSum);
+          }
+        };
 
     // Create the context with a 1 second batch size
     SparkConf sparkConf = new SparkConf().setAppName("JavaStatefulNetworkWordCount");
@@ -97,12 +96,13 @@ public Iterable<String> call(String x) {
       }
     });
 
-    JavaPairDStream<String, Integer> wordsDstream = words.mapToPair(new PairFunction<String, String, Integer>() {
-      @Override
-      public Tuple2<String, Integer> call(String s) {
-        return new Tuple2<String, Integer>(s, 1);
-      }
-    });
+    JavaPairDStream<String, Integer> wordsDstream = words.mapToPair(
+        new PairFunction<String, String, Integer>() {
+          @Override
+          public Tuple2<String, Integer> call(String s) {
+            return new Tuple2<String, Integer>(s, 1);
+          }
+        });
 
     // This will give a Dstream made of state (which is the cumulative count of the words)
     JavaPairDStream<String, Integer> stateDstream = wordsDstream.updateStateByKey(updateFunction,