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-rw-r--r--examples/src/main/scala/org/apache/spark/streaming/examples/MQTTWordCount.scala107
1 files changed, 107 insertions, 0 deletions
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+/*
+ * 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.streaming.examples
+
+import org.apache.spark.streaming.{ Seconds, StreamingContext }
+import org.apache.spark.streaming.StreamingContext._
+import org.apache.spark.streaming.dstream.MQTTReceiver
+import org.apache.spark.storage.StorageLevel
+
+import org.eclipse.paho.client.mqttv3.MqttClient
+import org.eclipse.paho.client.mqttv3.MqttClientPersistence
+import org.eclipse.paho.client.mqttv3.persist.MqttDefaultFilePersistence
+import org.eclipse.paho.client.mqttv3.MqttException
+import org.eclipse.paho.client.mqttv3.MqttMessage
+import org.eclipse.paho.client.mqttv3.MqttTopic
+
+/**
+ * A simple Mqtt publisher for demonstration purposes, repeatedly publishes
+ * Space separated String Message "hello mqtt demo for spark streaming"
+ */
+object MQTTPublisher {
+
+ var client: MqttClient = _
+
+ def main(args: Array[String]) {
+ if (args.length < 2) {
+ System.err.println("Usage: MQTTPublisher <MqttBrokerUrl> <topic>")
+ System.exit(1)
+ }
+
+ val Seq(brokerUrl, topic) = args.toSeq
+
+ try {
+ var peristance:MqttClientPersistence =new MqttDefaultFilePersistence("/tmp")
+ client = new MqttClient(brokerUrl, MqttClient.generateClientId(), peristance)
+ } catch {
+ case e: MqttException => println("Exception Caught: " + e)
+ }
+
+ client.connect()
+
+ val msgtopic: MqttTopic = client.getTopic(topic);
+ val msg: String = "hello mqtt demo for spark streaming"
+
+ while (true) {
+ val message: MqttMessage = new MqttMessage(String.valueOf(msg).getBytes())
+ msgtopic.publish(message);
+ println("Published data. topic: " + msgtopic.getName() + " Message: " + message)
+ }
+ client.disconnect()
+ }
+}
+
+/**
+ * A sample wordcount with MqttStream stream
+ *
+ * To work with Mqtt, Mqtt Message broker/server required.
+ * Mosquitto (http://mosquitto.org/) is an open source Mqtt Broker
+ * In ubuntu mosquitto can be installed using the command `$ sudo apt-get install mosquitto`
+ * Eclipse paho project provides Java library for Mqtt Client http://www.eclipse.org/paho/
+ * Example Java code for Mqtt Publisher and Subscriber can be found here https://bitbucket.org/mkjinesh/mqttclient
+ * Usage: MQTTWordCount <master> <MqttbrokerUrl> <topic>
+ * In local mode, <master> should be 'local[n]' with n > 1
+ * <MqttbrokerUrl> and <topic> describe where Mqtt publisher is running.
+ *
+ * To run this example locally, you may run publisher as
+ * `$ ./run-example org.apache.spark.streaming.examples.MQTTPublisher tcp://localhost:1883 foo`
+ * and run the example as
+ * `$ ./run-example org.apache.spark.streaming.examples.MQTTWordCount local[2] tcp://localhost:1883 foo`
+ */
+object MQTTWordCount {
+
+ def main(args: Array[String]) {
+ if (args.length < 3) {
+ System.err.println(
+ "Usage: MQTTWordCount <master> <MqttbrokerUrl> <topic>" +
+ " In local mode, <master> should be 'local[n]' with n > 1")
+ System.exit(1)
+ }
+
+ val Seq(master, brokerUrl, topic) = args.toSeq
+
+ val ssc = new StreamingContext(master, "MqttWordCount", Seconds(2), System.getenv("SPARK_HOME"),
+ Seq(System.getenv("SPARK_EXAMPLES_JAR")))
+ val lines = ssc.mqttStream(brokerUrl, topic, StorageLevel.MEMORY_ONLY)
+
+ val words = lines.flatMap(x => x.toString.split(" "))
+ val wordCounts = words.map(x => (x, 1)).reduceByKey(_ + _)
+ wordCounts.print()
+ ssc.start()
+ }
+}