/* * beymani: Outlier and anamoly detection * Author: Pranab Ghosh * * 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 org.beymani.proximity; import java.io.IOException; import org.apache.hadoop.conf.Configuration; import org.apache.hadoop.conf.Configured; import org.apache.hadoop.fs.Path; import org.apache.hadoop.io.LongWritable; import org.apache.hadoop.io.NullWritable; import org.apache.hadoop.io.Text; import org.apache.hadoop.mapreduce.Job; import org.apache.hadoop.mapreduce.Mapper; import org.apache.hadoop.mapreduce.Reducer; import org.apache.hadoop.mapreduce.lib.input.FileInputFormat; import org.apache.hadoop.mapreduce.lib.input.FileSplit; import org.apache.hadoop.mapreduce.lib.output.FileOutputFormat; import org.apache.hadoop.util.Tool; import org.apache.hadoop.util.ToolRunner; import org.apache.log4j.Level; import org.apache.log4j.Logger; import org.chombo.util.SecondarySort; import org.chombo.util.TextInt; import org.chombo.util.Tuple; import org.chombo.util.Utility; /** * @author pranab * */ public class NeighborDensity extends Configured implements Tool { @Override public int run(String[] args) throws Exception { Job job = new Job(getConf()); String jobName = "Nearest neighbour density"; job.setJobName(jobName); job.setJarByClass(NeighborDensity.class); FileInputFormat.addInputPath(job, new Path(args[0])); FileOutputFormat.setOutputPath(job, new Path(args[1])); job.setMapperClass(NeighborDensity.GroupingMapper.class); job.setReducerClass(NeighborDensity.GroupingReducer.class); job.setMapOutputKeyClass(TextInt.class); job.setMapOutputValueClass(Tuple.class); job.setOutputKeyClass(NullWritable.class); job.setOutputValueClass(Text.class); job.setGroupingComparatorClass(SecondarySort.TextIntIdPairGroupComprator.class); job.setPartitionerClass(SecondarySort.TextIntIdPairTuplePartitioner.class); Utility.setConfiguration(job.getConfiguration()); job.setNumReduceTasks(job.getConfiguration().getInt("num.reducer", 1)); int status = job.waitForCompletion(true) ? 0 : 1; return status; } /** * @author pranab * */ public static class GroupingMapper extends Mapper<LongWritable, Text, TextInt, Tuple> { private String fieldDelimRegex; private String fieldDelim; private boolean isDensitySplit; private TextInt outKey = new TextInt(); private Tuple outVal = new Tuple(); private String[] items ; private static final Logger LOG = Logger.getLogger(GroupingMapper.class); protected void setup(Context context) throws IOException, InterruptedException { Configuration conf = context.getConfiguration(); fieldDelim = conf.get("field.delim", ","); fieldDelimRegex = conf.get("field.delim.regex", "\\[\\]"); String densityFilePrefix = conf.get("ned.density.file.prefix", "first"); isDensitySplit = ((FileSplit)context.getInputSplit()).getPath().getName().startsWith(densityFilePrefix); if (conf.getBoolean("debug.on", false)) { LOG.setLevel(Level.DEBUG); } LOG.debug("isDensitySplit:" + isDensitySplit); } @Override protected void map(LongWritable key, Text value, Context context) throws IOException, InterruptedException { items = value.toString().split(fieldDelimRegex); outVal.initialize(); if (isDensitySplit) { outKey.set(items[0], 0); outVal.add(Integer.parseInt(items[1])); } else { outKey.set(items[0], 1); outVal.add(items[1], Integer.parseInt(items[2])); } context.write(outKey, outVal); } } /** * @author pranab * */ public static class GroupingReducer extends Reducer<TextInt, Tuple, NullWritable, Text> { private String entityID; private int density; private String group; private Text outVal = new Text(); private String fieldDelim; private static final Logger LOG = Logger.getLogger(GroupingReducer.class); /* (non-Javadoc) * @see org.apache.hadoop.mapreduce.Reducer#setup(org.apache.hadoop.mapreduce.Reducer.Context) */ protected void setup(Context context) throws IOException, InterruptedException { Configuration conf = context.getConfiguration(); fieldDelim = conf.get("field.delim", "\\[\\]"); if (conf.getBoolean("debug.on", false)) { LOG.setLevel(Level.DEBUG); } } /* (non-Javadoc) * @see org.apache.hadoop.mapreduce.Reducer#reduce(KEYIN, java.lang.Iterable, org.apache.hadoop.mapreduce.Reducer.Context) */ protected void reduce(TextInt key, Iterable<Tuple> values, Context context) throws IOException, InterruptedException { entityID = key.getFirst().toString(); LOG.debug("entityID:" + entityID); for (Tuple val : values) { LOG.debug("value tuple size:" + val.getSize()); if (val.getSize() == 1) { density = val.getInt(0); } else { group = val.getString(0); outVal.set(group + fieldDelim + entityID + fieldDelim + density); context.write(NullWritable.get(), outVal); } } } } /** * @param args */ public static void main(String[] args) throws Exception { int exitCode = ToolRunner.run(new NeighborDensity(), args); System.exit(exitCode); } }