/* * 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 jp.gihyo.spark.ch06 import org.apache.spark.{SparkConf, SparkContext} import org.apache.spark.streaming.{StreamingContext, Seconds} import org.apache.spark.streaming.dstream.InputDStream object gihyo_6_3_reduceByKeyAndWindow_efficient { def main(args: Array[String]) { if (args.length != 3) { new IllegalArgumentException("Invalid arguments") System.exit(1) } val targetHost = args(0) val targetHostPort = args(1).toInt val checkpointDir = args(2) val conf = new SparkConf().setAppName("NetworkWordCount") val sc = new SparkContext(conf) val ssc = new StreamingContext(sc, Seconds(5)) val lines = ssc.socketTextStream(targetHost, targetHostPort) ssc.checkpoint(checkpointDir) run(lines) ssc.start ssc.awaitTermination } def run(stream: InputDStream[String], windowLength: Int = 10, slideInterval: Int = 5) { val userList = stream.map(x => (x, 1)) .reduceByKeyAndWindow( (a: Int, b: Int) => a + b, (a: Int, b: Int) => a - b, Seconds(windowLength), Seconds(slideInterval)) userList.print } }