1 files changed, 50 insertions, 0 deletions
diff --git a/examples/src/main/scala/spark/streaming/examples/JavaFlumeEventCount.java b/examples/src/main/scala/spark/streaming/examples/JavaFlumeEventCount.java
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index 0000000000..cddce16e39
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+++ b/examples/src/main/scala/spark/streaming/examples/JavaFlumeEventCount.java
@@ -0,0 +1,50 @@
+package spark.streaming.examples;
+
+import spark.api.java.function.Function;
+import spark.streaming.*;
+import spark.streaming.api.java.*;
+import spark.streaming.dstream.SparkFlumeEvent;
+
+/**
+ *  Produces a count of events received from Flume.
+ *
+ *  This should be used in conjunction with an AvroSink in Flume. It will start
+ *  an Avro server on at the request host:port address and listen for requests.
+ *  Your Flume AvroSink should be pointed to this address.
+ *
+ *  Usage: JavaFlumeEventCount <master> <host> <port>
+ *
+ *    <master> is a Spark master URL
+ *    <host> is the host the Flume receiver will be started on - a receiver
+ *           creates a server and listens for flume events.
+ *    <port> is the port the Flume receiver will listen on.
+ */
+public class JavaFlumeEventCount {
+  public static void main(String[] args) {
+    if (args.length != 3) {
+      System.err.println("Usage: JavaFlumeEventCount <master> <host> <port>");
+      System.exit(1);
+    }
+
+    String master = args[0];
+    String host = args[1];
+    int port = Integer.parseInt(args[2]);
+
+    Duration batchInterval = new Duration(2000);
+
+    JavaStreamingContext sc = new JavaStreamingContext(master, "FlumeEventCount", batchInterval);
+
+    JavaDStream<SparkFlumeEvent> flumeStream = sc.flumeStream("localhost", port);
+
+    flumeStream.count();
+
+    flumeStream.count().map(new Function<Long, String>() {
+      @Override
+      public String call(Long in) {
+        return "Received " + in + " flume events.";
+      }
+    }).print();
+
+    sc.start();
+  }
+}