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 static com.tdunning.plume.Plume.tableOf; import static org.junit.Assert.assertEquals; import java.io.File; import java.io.IOException; import java.util.List; import java.util.Map; 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.base.Charsets; import com.google.common.collect.Maps; import com.google.common.io.Files; import com.google.common.io.Resources; import com.tdunning.plume.DoFn; import com.tdunning.plume.EmitFn; import com.tdunning.plume.PCollection; import com.tdunning.plume.Pair; /** * This test asserts that Plume creates two MSCR and therefore two MapReduce jobs when one Group By Key follows another */ public class MapRedTwoSequentialGBKTest { public static class TwoSequentialGBKWorkflow extends PlumeWorkflow { public TwoSequentialGBKWorkflow() { } @SuppressWarnings("unchecked") @Override public void build() { init(); LazyPlume plume = new LazyPlume(); PCollection input; try { // Read input input = plume.readFile("/tmp/input-wordcount.txt", collectionOf(strings())); // Add it as workflow's input addInput(input); } catch (IOException e) { throw new RuntimeException(); } PCollection output = input.map(new DoFn() { @Override public void process(Object v, EmitFn emitter) { Text t = (Text) v; // do some foo processing emitter.emit(Pair.create(t, new Text("foo"))); } }, tableOf(strings(), strings())).groupByKey().map(new DoFn() { public void process(Object v, EmitFn emitter) { Pair p = (Pair) v; // do some more foo processing emitter.emit(Pair.create(p.getKey(), new Text("bar"))); } }, tableOf(strings(), strings())) // second group by key .groupByKey().map(new DoFn() { public void process(Object v, EmitFn emitter) { Pair p = (Pair) v; // do some more foo processing emitter.emit(Pair.create(p.getKey(), new Text("bar 2"))); } }, tableOf(strings(), strings())); addOutput(output); } } @Test public void test() throws Exception { String outputPath = "/tmp/output-plume-twosequentialgbktest"; String inputPath = "/tmp/input-wordcount.txt"; // Prepare input for test FileSystem system = FileSystem.getLocal(new Configuration()); system.copyFromLocalFile(new Path(Resources.getResource("simple-text.txt").getPath()), new Path(inputPath)); // Prepare output for test system.delete(new Path(outputPath), true); // Prepare workflow TwoSequentialGBKWorkflow workFlow = new TwoSequentialGBKWorkflow(); // Execute it MapRedExecutor executor = new MapRedExecutor(); executor.execute(workFlow, outputPath); String outputId = ((LazyCollection<?>) workFlow.getOutputs().get(0)).getPlumeId(); List<String> str = Files.readLines(new File(outputPath + "/" + outputId + "/1-r-00000"), Charsets.UTF_8); Map<String, String> m = Maps.newHashMap(); for (String line : str) { m.put(line.split("\t")[0], line.split("\t")[1]); // not super-optimal, but less code } assertEquals("bar 2", m.get("To test text processing with some simple")); assertEquals("bar 2", m.get("examples is some simple")); assertEquals("bar 2", m.get("is is")); assertEquals("bar 2", m.get("some simple text")); } }