Github user srowen commented on a diff in the pull request:
https://github.com/apache/spark/pull/4589#discussion_r24714081
--- Diff:
examples/src/main/java/org/apache/spark/examples/streaming/JavaStatefulNetworkWordCount.java
---
@@ -0,0 +1,115 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements. See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License. You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.apache.spark.examples.streaming;
+
+import java.util.Arrays;
+import java.util.List;
+import java.util.regex.Pattern;
+
+import scala.Tuple2;
+
+import com.google.common.base.Optional;
+import com.google.common.collect.Lists;
+
+import org.apache.spark.HashPartitioner;
+import org.apache.spark.SparkConf;
+import org.apache.spark.api.java.JavaPairRDD;
+import org.apache.spark.api.java.StorageLevels;
+import org.apache.spark.api.java.function.FlatMapFunction;
+import org.apache.spark.api.java.function.Function2;
+import org.apache.spark.api.java.function.PairFunction;
+import org.apache.spark.streaming.Durations;
+import org.apache.spark.streaming.api.java.JavaDStream;
+import org.apache.spark.streaming.api.java.JavaPairDStream;
+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.
+ * Usage: JavaStatefulNetworkWordCount <hostname> <port>
+ * <hostname> and <port> describe the TCP server that Spark Streaming
would connect to receive
+ * data.
+ * <p/>
+ * To run this on your local machine, you need to first run a Netcat server
+ * `$ nc -lk 9999`
+ * and then run the example
+ * `$ bin/run-example
+ * org.apache.spark.examples.streaming.JavaStatefulNetworkWordCount
localhost 9999`
+ */
+public class JavaStatefulNetworkWordCount {
+ private static final Pattern SPACE = Pattern.compile(" ");
+
+ public static void main(String[] args) {
+ if (args.length < 2) {
+ System.err.println("Usage: JavaStatefulNetworkWordCount <hostname>
<port>");
+ System.exit(1);
+ }
+
+ 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);
+ }
+ };
+
+ // Create the context with a 1 second batch size
+ SparkConf sparkConf = new
SparkConf().setAppName("JavaStatefulNetworkWordCount");
+ JavaStreamingContext ssc = new JavaStreamingContext(sparkConf,
Durations.seconds(1));
+ ssc.checkpoint(".");
+
+ // Initial RDD input to updateStateByKey
+ JavaPairRDD<String, Integer> initialRDD = ssc.sc()
+ .parallelizePairs(Arrays.asList(new Tuple2<String,
Integer>("hello", 1), new Tuple2<String, Integer>
--- End diff --
I think this line may be too long; Jenkins will tell you with the style
checker, which you can run too. The wrapping is strange. I'd re-flow this so
that you're not breaking a constructor and its args! Maybe pull out a variable
for the list of tuples.
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