spark PageViewGenerator 源码
spark PageViewGenerator 代码
文件路径:/examples/src/main/scala/org/apache/spark/examples/streaming/clickstream/PageViewGenerator.scala
/*
* 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.
*/
// scalastyle:off println
package org.apache.spark.examples.streaming.clickstream
import java.io.PrintWriter
import java.net.ServerSocket
import java.util.Random
/** Represents a page view on a website with associated dimension data. */
class PageView(val url: String, val status: Int, val zipCode: Int, val userID: Int)
extends Serializable {
override def toString(): String = {
"%s\t%s\t%s\t%s\n".format(url, status, zipCode, userID)
}
}
object PageView extends Serializable {
def fromString(in: String): PageView = {
val parts = in.split("\t")
new PageView(parts(0), parts(1).toInt, parts(2).toInt, parts(3).toInt)
}
}
// scalastyle:off
/**
* Generates streaming events to simulate page views on a website.
*
* This should be used in tandem with PageViewStream.scala. Example:
*
* To run the generator
* `$ bin/run-example org.apache.spark.examples.streaming.clickstream.PageViewGenerator 44444 10`
* To process the generated stream
* `$ bin/run-example \
* org.apache.spark.examples.streaming.clickstream.PageViewStream errorRatePerZipCode localhost 44444`
*
*/
// scalastyle:on
object PageViewGenerator {
val pages = Map("http://foo.com/" -> .7,
"http://foo.com/news" -> 0.2,
"http://foo.com/contact" -> .1)
val httpStatus = Map(200 -> .95,
404 -> .05)
val userZipCode = Map(94709 -> .5,
94117 -> .5)
val userID = Map((1 to 100).map(_ -> .01): _*)
def pickFromDistribution[T](inputMap: Map[T, Double]): T = {
val rand = new Random().nextDouble()
var total = 0.0
for ((item, prob) <- inputMap) {
total = total + prob
if (total > rand) {
return item
}
}
inputMap.take(1).head._1 // Shouldn't get here if probabilities add up to 1.0
}
def getNextClickEvent(): String = {
val id = pickFromDistribution(userID)
val page = pickFromDistribution(pages)
val status = pickFromDistribution(httpStatus)
val zipCode = pickFromDistribution(userZipCode)
new PageView(page, status, zipCode, id).toString()
}
def main(args: Array[String]): Unit = {
if (args.length != 2) {
System.err.println("Usage: PageViewGenerator <port> <viewsPerSecond>")
System.exit(1)
}
val port = args(0).toInt
val viewsPerSecond = args(1).toFloat
val sleepDelayMs = (1000.0 / viewsPerSecond).toInt
val listener = new ServerSocket(port)
println(s"Listening on port: $port")
while (true) {
val socket = listener.accept()
new Thread() {
override def run(): Unit = {
println(s"Got client connected from: ${socket.getInetAddress}")
val out = new PrintWriter(socket.getOutputStream(), true)
while (true) {
Thread.sleep(sleepDelayMs)
out.write(getNextClickEvent())
out.flush()
}
socket.close()
}
}.start()
}
}
}
// scalastyle:on println
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