almost working, sink still fails

src/main/java/net/juliobiason/flink/SocketWindowWordCount.java

@@ -20,10 +20,19 @@ package net.juliobiason.flink;
 
 import org.apache.flink.api.common.functions.FlatMapFunction;
 import org.apache.flink.api.common.functions.ReduceFunction;
+import org.apache.flink.api.common.functions.ReduceFunction;
 import org.apache.flink.api.java.utils.ParameterTool;
+import org.apache.flink.streaming.api.TimeCharacteristic;
 import org.apache.flink.streaming.api.datastream.DataStream;
 import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment;
+import org.apache.flink.streaming.api.functions.AssignerWithPeriodicWatermarks;
+import org.apache.flink.streaming.api.functions.sink.SinkFunction;
+import org.apache.flink.streaming.api.functions.windowing.ProcessWindowFunction.Context;
+import org.apache.flink.streaming.api.functions.windowing.ProcessWindowFunction;
+import org.apache.flink.streaming.api.watermark.Watermark;
+import org.apache.flink.streaming.api.windowing.assigners.TumblingEventTimeWindows;
 import org.apache.flink.streaming.api.windowing.time.Time;
+import org.apache.flink.streaming.api.windowing.windows.TimeWindow;
 import org.apache.flink.util.Collector;
 
 /**
@@ -57,37 +66,84 @@ public class SocketWindowWordCount {
 				"type the input text into the command line");
 			return;
 		}
+		System.out.println("Connecting to " + hostname);
+		System.out.println("And port " + port);
 
 		// get the execution environment
 		final StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
+		env.setStreamTimeCharacteristic(TimeCharacteristic.EventTime);
+		env.setParallelism(1);
 
-		// get input data by connecting to the socket
 		DataStream<String> text = env.socketTextStream(hostname, port, "\n");
 
-		// parse the data, group it, window it, and aggregate the counts
+		DataStream<WordEvent> mainStream = text
-		DataStream<WordWithCount> windowCounts = text
+			.flatMap(new FlatMapFunction<String, WordEvent>() {
-
+				@Override
-				.flatMap(new FlatMapFunction<String, WordWithCount>() {
+				public void flatMap(String input, Collector<WordEvent> output) {
-					@Override
+					WordEvent event = new WordEvent(input);
-					public void flatMap(String value, Collector<WordWithCount> out) {
+					System.out.println("CREATE\t " + event);
-						for (String word : value.split("\\s")) {
+					output.collect(event);
-							out.collect(new WordWithCount(word, 1L));
+				}
+			})
+
+			.assignTimestampsAndWatermarks(new AssignerWithPeriodicWatermarks<WordEvent>() {
+				private long currentMaxTimestamp = 0;
+				@Override
+				public final long extractTimestamp(WordEvent element, long previousElementTimestamp) {
+					long eventTimestamp = element.getTimestamp();
+					currentMaxTimestamp = Math.max(eventTimestamp, currentMaxTimestamp);
+					System.out.println("MAXTIMESTAMP\t " + currentMaxTimestamp);
+					return eventTimestamp;
+				}
+				@Override
+				public final Watermark getCurrentWatermark() {
+					long watermarkTime = currentMaxTimestamp - 10;
+					// System.out.println("WATERMARK\t " + watermarkTime);
+					return new Watermark(watermarkTime);
+				}
+			})
+			.keyBy(record -> record.getWord())
+			.window(TumblingEventTimeWindows.of(Time.seconds(30)))
+			.allowedLateness(Time.seconds(90))
+			.reduce(
+					new ReduceFunction<WordEvent>() {
+						public WordEvent reduce(WordEvent element1, WordEvent element2) {
+							long total = element1.getCount() + element2.getCount();
+							System.out.print("REDUCE\t " + element1 + " + " + element2 + " = " + total + "\n");
+							return new WordEvent(element1.getTimestamp(),
+									element1.getWord(),
+									total);
+						} 
+					},
+					new ProcessWindowFunction<WordEvent, WordEvent, String, TimeWindow>() {
+						public void process(String key, Context context, Iterable<WordEvent> values, Collector<WordEvent> out) {
+							TimeWindow window = context.window();
+							for (WordEvent word: values) {
+								System.out.println("MOVE\t " + word + " to " + window.getStart());
+								out.collect(new WordEvent(window.getStart(),
+											word.getWord(),
+											word.getCount()));
+							}
 						}
 					}
-				})
+				   );
-
+
-				.keyBy("word")
+		mainStream.
-				.timeWindow(Time.seconds(5))
+			.flatMap(new FlatMapFunction<WordEvent, WordEvent>() {
-
+				@Override
-				.reduce(new ReduceFunction<WordWithCount>() {
+				public void flatMap(WordEvent input, Collector<WordEvent> output) {
-					@Override
+					output.collect(input);
-					public WordWithCount reduce(WordWithCount a, WordWithCount b) {
+				}
-						return new WordWithCount(a.word, a.count + b.count);
+			});
-					}
+			// .addSink(new SinkFunction<WordEvent>() {
-				});
+			// 	@Override
-
+			// 	public synchronized void invoke(
-		// print the results with a single thread, rather than in parallel
+			// 			WordEvent word, 
-		windowCounts.print().setParallelism(1);
+			// 			org.apache.flink.streaming.api.functions.sink.SinkFunction.Context ctx)
+			// 		throws Exception {
+			// 		System.out.println("SINK\t " + word);
+			// 	}
+			// });
 
 		env.execute("Socket Window WordCount");
 	}
@@ -95,23 +151,43 @@ public class SocketWindowWordCount {
 	// ------------------------------------------------------------------------
 
 	/**
-	 * Data type for words with count.
+	 * The event of a word.
 	 */
-	public static class WordWithCount {
+	public static class WordEvent {
+		private long timestamp;
+		private String word;
+		private long count;
+
+		public WordEvent(String input) {
+			String[] frags = input.split(" ", 2);
+			this.timestamp = Integer.parseInt(frags[0]) * 1000;	// must be millis
+			this.word = frags[1];
+			this.count = 1;
+		}
+		
+		public WordEvent(long timestamp, String word, long count) {
+			this.timestamp = timestamp;
+			this.word = word;
+			this.count = count;
+		}
 
-		public String word;
+		public long getTimestamp() {
-		public long count;
+			return this.timestamp;
+		}
 
-		public WordWithCount() {}
+		public String getWord() {
+			return this.word;
+		}
 
-		public WordWithCount(String word, long count) {
+		public long getCount() {
-			this.word = word;
+			return this.count;
-			this.count = count;
 		}
 
 		@Override
 		public String toString() {
-			return word + " : " + count;
+			return String.format("%s at %d",
+					this.word,
+					(this.timestamp / 1000));		// still display as secs
 		}
 	}
 }