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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 akka.actor.ActorSystem
import akka.actor.actorRef2Scala
import akka.zeromq._
import org.apache.spark.streaming.{ Seconds, StreamingContext }
import org.apache.spark.streaming.StreamingContext._
import akka.zeromq.Subscribe
/**
* A simple publisher for demonstration purposes, repeatedly publishes random Messages
* every one second.
*/
object SimpleZeroMQPublisher {
def main(args: Array[String]) = {
if (args.length < 2) {
System.err.println("Usage: SimpleZeroMQPublisher <zeroMQUrl> <topic> ")
System.exit(1)
}
val Seq(url, topic) = args.toSeq
val acs: ActorSystem = ActorSystem()
val pubSocket = ZeroMQExtension(acs).newSocket(SocketType.Pub, Bind(url))
val messages: Array[String] = Array("words ", "may ", "count ")
while (true) {
Thread.sleep(1000)
pubSocket ! ZMQMessage(Frame(topic) :: messages.map(x => Frame(x.getBytes)).toList)
}
acs.awaitTermination()
}
}
/**
* A sample wordcount with ZeroMQStream stream
*
* To work with zeroMQ, some native libraries have to be installed.
* Install zeroMQ (release 2.1) core libraries. [ZeroMQ Install guide](http://www.zeromq.org/intro:get-the-software)
*
* Usage: ZeroMQWordCount <master> <zeroMQurl> <topic>
* In local mode, <master> should be 'local[n]' with n > 1
* <zeroMQurl> and <topic> describe where zeroMq publisher is running.
*
* To run this example locally, you may run publisher as
* `$ ./run-example spark.streaming.examples.SimpleZeroMQPublisher tcp://127.0.1.1:1234 foo.bar`
* and run the example as
* `$ ./run-example spark.streaming.examples.ZeroMQWordCount local[2] tcp://127.0.1.1:1234 foo`
*/
object ZeroMQWordCount {
def main(args: Array[String]) {
if (args.length < 3) {
System.err.println(
"Usage: ZeroMQWordCount <master> <zeroMQurl> <topic>" +
"In local mode, <master> should be 'local[n]' with n > 1")
System.exit(1)
}
val Seq(master, url, topic) = args.toSeq
// Create the context and set the batch size
val ssc = new StreamingContext(master, "ZeroMQWordCount", Seconds(2),
System.getenv("SPARK_HOME"), Seq(System.getenv("SPARK_EXAMPLES_JAR")))
def bytesToStringIterator(x: Seq[Seq[Byte]]) = (x.map(x => new String(x.toArray))).iterator
//For this stream, a zeroMQ publisher should be running.
val lines = ssc.zeroMQStream(url, Subscribe(topic), bytesToStringIterator)
val words = lines.flatMap(_.split(" "))
val wordCounts = words.map(x => (x, 1)).reduceByKey(_ + _)
wordCounts.print()
ssc.start()
}
}
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