Java tutorial
/* * Copyright (c) 2013 DataTorrent, Inc. ALL Rights Reserved. * * Licensed 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 com.datatorrent.demos.mroperator; import java.io.File; import java.util.Iterator; import java.util.List; import java.util.Map; import org.apache.commons.io.FileUtils; import org.apache.hadoop.conf.Configuration; import org.junit.Assert; import org.junit.Rule; import org.junit.Test; import org.slf4j.Logger; import org.slf4j.LoggerFactory; import com.google.common.collect.Lists; import com.google.common.collect.Maps; import com.datatorrent.api.LocalMode; public class WordCountMRApplicationTest { private static Logger LOG = LoggerFactory.getLogger(WordCountMRApplicationTest.class); @Rule public MapOperatorTest.TestMeta testMeta = new MapOperatorTest.TestMeta(); @Test public void testSomeMethod() throws Exception { LocalMode lma = LocalMode.newInstance(); Configuration conf = new Configuration(false); conf.set("dt.application.WordCountDemo.operator.Mapper.dirName", testMeta.testDir); conf.setInt("dt.application.WordCountDemo.operator.Mapper.partitionCount", 1); conf.set("dt.application.WordCountDemo.operator.Console.filePath", testMeta.testDir); conf.set("dt.application.WordCountDemo.operator.Console.outputFileName", "output.txt"); lma.prepareDAG(new NewWordCountApplication(), conf); LocalMode.Controller lc = lma.getController(); lc.setHeartbeatMonitoringEnabled(false); lc.run(5000); lc.shutdown(); List<String> readLines = FileUtils.readLines(new File(testMeta.testDir + "/output.txt")); Map<String, Integer> readMap = Maps.newHashMap(); Iterator<String> itr = readLines.iterator(); while (itr.hasNext()) { String[] splits = itr.next().split("="); readMap.put(splits[0], Integer.valueOf(splits[1])); } Map<String, Integer> expectedMap = Maps.newHashMap(); expectedMap.put("1", 2); expectedMap.put("2", 2); expectedMap.put("3", 2); Assert.assertEquals("expected reduced data ", expectedMap, readMap); LOG.info("read lines {}", readLines); } }