/*
* 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);
}
}