Java tutorial
/* * 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 com.tdunning.plume.local.lazy; import static com.tdunning.plume.Plume.collectionOf; import static com.tdunning.plume.Plume.strings; import java.io.IOException; import org.apache.hadoop.conf.Configuration; import org.apache.hadoop.fs.FileSystem; import org.apache.hadoop.fs.Path; import org.apache.hadoop.io.Text; import org.junit.Test; import com.google.common.io.Resources; import com.tdunning.plume.DoFn; import com.tdunning.plume.EmitFn; import com.tdunning.plume.PCollection; /** * This test checks that an MSCR is created out of a workplan that consists only of Flatten operations. There is more than one * {@link Flatten} and these have co-related inputs, so they have to be merged into a single MSCR. */ public class MapRedOnlyFlattensTest { static String inputPathEvent2 = "/tmp/input-event2.txt"; static String inputPathLogFile2 = "/tmp/input-logfile2.txt"; static String inputPathLogFile = "/tmp/input-logfile.txt"; public static class MapRedOnlyFlattensTestWorkflow extends PlumeWorkflow { @SuppressWarnings({ "unchecked", "rawtypes" }) @Override public void build() { init(); LazyPlume plume = new LazyPlume(); // Get input files PCollection inputEvent2, inputLogFile, inputLogFile2; try { inputEvent2 = plume.readFile(inputPathEvent2, collectionOf(strings())); inputLogFile2 = plume.readFile(inputPathLogFile2, collectionOf(strings())); inputLogFile = plume.readFile(inputPathLogFile, collectionOf(strings())); // Add as inputs addInput(inputEvent2); addInput(inputLogFile); } catch (IOException e) { throw new RuntimeException(); } /** * Emit the user of the log file - flatten it with users file */ PCollection output = plume.flatten(collectionOf(strings()), inputEvent2, inputLogFile.map(new DoFn<Text, Text>() { @Override public void process(Text v, EmitFn<Text> emitter) { String[] splittedLine = v.toString().split("\t"); emitter.emit(new Text(splittedLine[2])); } }, collectionOf(strings()))); /** * Flatten two log files */ PCollection output2 = plume.flatten(collectionOf(strings()), inputLogFile2, inputLogFile); addOutput(output); addOutput(output2); } } @Test public void test() throws Exception { String outputPath = "/tmp/output-plume-onlyflattentest"; // Prepare input for test FileSystem system = FileSystem.getLocal(new Configuration()); system.copyFromLocalFile(new Path(Resources.getResource("event2users.txt").getPath()), new Path(inputPathEvent2)); system.copyFromLocalFile(new Path(Resources.getResource("eventslog.txt").getPath()), new Path(inputPathLogFile)); system.copyFromLocalFile(new Path(Resources.getResource("eventslog.txt").getPath()), new Path(inputPathLogFile2)); // Prepare output for test system.delete(new Path(outputPath), true); // Prepare workflow MapRedOnlyFlattensTestWorkflow workFlow = new MapRedOnlyFlattensTestWorkflow(); // Execute it MapRedExecutor executor = new MapRedExecutor(); executor.execute(workFlow, outputPath); } }