| /** |
| * 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.apex.malhar.stream.sample; |
| |
| import java.util.Map; |
| import java.util.concurrent.Callable; |
| |
| import org.junit.Assert; |
| import org.junit.Test; |
| |
| import org.apache.hadoop.conf.Configuration; |
| |
| import com.datatorrent.api.LocalMode; |
| import com.datatorrent.lib.util.KeyValPair; |
| import com.datatorrent.stram.StramLocalCluster; |
| |
| /** |
| * Testing the TwitterAutoComplete Application. In order to run this test, you need to create an app |
| * at https://apps.twitter.com, then generate your consumer and access keys and tokens, and set the following properties |
| * for the application before running it: |
| * Your application consumer key, |
| * Your application consumer secret, |
| * Your twitter access token, and |
| * Your twitter access token secret. |
| */ |
| public class WindowedWordCountTest |
| { |
| @Test |
| public void WindowedWordCountTest() throws Exception |
| { |
| LocalMode lma = LocalMode.newInstance(); |
| Configuration conf = new Configuration(false); |
| conf.set("dt.application.WindowedWordCount.operator.console.silent", "true"); |
| lma.prepareDAG(new WindowedWordCount(), conf); |
| LocalMode.Controller lc = lma.getController(); |
| ((StramLocalCluster)lc).setExitCondition(new Callable<Boolean>() |
| { |
| @Override |
| public Boolean call() throws Exception |
| { |
| return WindowedWordCount.Collector.isDone(); |
| } |
| }); |
| |
| lc.run(60000); |
| |
| Assert.assertEquals(127, countSum(WindowedWordCount.Collector.getResult())); |
| Assert.assertEquals(28, countSumWord(WindowedWordCount.Collector.getResult(), "word2")); |
| Assert.assertEquals(7, countSumWord(WindowedWordCount.Collector.getResult(), "error")); |
| Assert.assertEquals(21, countSumWord(WindowedWordCount.Collector.getResult(), "word9")); |
| Assert.assertEquals(1, countSumWord(WindowedWordCount.Collector.getResult(), "bye")); |
| } |
| |
| public long countSum(Map<KeyValPair<Long, String>, Long> map) |
| { |
| long sum = 0; |
| for (long count : map.values()) { |
| sum += count; |
| } |
| return sum; |
| } |
| |
| public long countSumWord(Map<KeyValPair<Long, String>, Long> map, String word) |
| { |
| long sum = 0; |
| for (Map.Entry<KeyValPair<Long, String>, Long> entry : map.entrySet()) { |
| if (entry.getKey().getValue().equals(word)) { |
| sum += entry.getValue(); |
| } |
| } |
| return sum; |
| } |
| |
| } |
| |