/** * 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.mahout.classifier.df.mapreduce.partial; import com.google.common.base.Preconditions; import org.apache.hadoop.conf.Configuration; import org.apache.hadoop.fs.FileSystem; import org.apache.hadoop.fs.Path; import org.apache.hadoop.mapreduce.Job; import org.apache.hadoop.mapreduce.JobContext; import org.apache.hadoop.mapreduce.lib.input.FileInputFormat; import org.apache.hadoop.mapreduce.lib.input.TextInputFormat; import org.apache.hadoop.mapreduce.lib.output.FileOutputFormat; import org.apache.hadoop.mapreduce.lib.output.SequenceFileOutputFormat; import org.apache.mahout.classifier.df.DFUtils; import org.apache.mahout.classifier.df.DecisionForest; import org.apache.mahout.classifier.df.builder.TreeBuilder; import org.apache.mahout.classifier.df.mapreduce.Builder; import org.apache.mahout.classifier.df.mapreduce.MapredOutput; import org.apache.mahout.classifier.df.node.Node; import org.apache.mahout.common.Pair; import org.apache.mahout.common.iterator.sequencefile.SequenceFileIterable; import java.io.IOException; import java.util.Arrays; /** * Builds a random forest using partial data. Each mapper uses only the data given by its InputSplit */ public class PartialBuilder extends Builder { public PartialBuilder(TreeBuilder treeBuilder, Path dataPath, Path datasetPath, Long seed) { this(treeBuilder, dataPath, datasetPath, seed, new Configuration()); } public PartialBuilder(TreeBuilder treeBuilder, Path dataPath, Path datasetPath, Long seed, Configuration conf) { super(treeBuilder, dataPath, datasetPath, seed, conf); } @Override protected void configureJob(Job job) throws IOException { Configuration conf = job.getConfiguration(); job.setJarByClass(PartialBuilder.class); FileInputFormat.setInputPaths(job, getDataPath()); FileOutputFormat.setOutputPath(job, getOutputPath(conf)); job.setOutputKeyClass(TreeID.class); job.setOutputValueClass(MapredOutput.class); job.setMapperClass(Step1Mapper.class); job.setNumReduceTasks(0); // no reducers job.setInputFormatClass(TextInputFormat.class); job.setOutputFormatClass(SequenceFileOutputFormat.class); } @Override protected DecisionForest parseOutput(Job job) throws IOException { Configuration conf = job.getConfiguration(); int numTrees = Builder.getNbTrees(conf); Path outputPath = getOutputPath(conf); TreeID[] keys = new TreeID[numTrees]; Node[] trees = new Node[numTrees]; processOutput(job, outputPath, keys, trees); return new DecisionForest(Arrays.asList(trees)); } /** * Processes the output from the output path.<br> * * @param outputPath * directory that contains the output of the job * @param keys * can be null * @param trees * can be null * @throws java.io.IOException */ protected static void processOutput(JobContext job, Path outputPath, TreeID[] keys, Node[] trees) throws IOException { Preconditions.checkArgument(keys == null && trees == null || keys != null && trees != null, "if keys is null, trees should also be null"); Preconditions.checkArgument(keys == null || keys.length == trees.length, "keys.length != trees.length"); Configuration conf = job.getConfiguration(); FileSystem fs = outputPath.getFileSystem(conf); Path[] outfiles = DFUtils.listOutputFiles(fs, outputPath); // read all the outputs int index = 0; for (Path path : outfiles) { for (Pair<TreeID,MapredOutput> record : new SequenceFileIterable<TreeID, MapredOutput>(path, conf)) { TreeID key = record.getFirst(); MapredOutput value = record.getSecond(); if (keys != null) { keys[index] = key; } if (trees != null) { trees[index] = value.getTree(); } index++; } } // make sure we got all the keys/values if (keys != null && index != keys.length) { throw new IllegalStateException("Some key/values are missing from the output"); } } }