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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
 *    `$ ./bin/run-example org.apache.spark.streaming.examples.MQTTPublisher tcp://localhost:1883 foo`
 * and run the example as
 *    `$ ./bin/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"), 
    StreamingContext.jarOfClass(this.getClass))
    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()
  }
}