/*
* 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.dist;
import java.io.IOException;
import java.util.ArrayList;
import java.util.HashMap;
import java.util.List;
import java.util.Map;
import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.conf.Configured;
import org.apache.hadoop.fs.FSDataInputStream;
import org.apache.hadoop.fs.FileSystem;
import org.apache.hadoop.fs.Path;
import org.apache.hadoop.io.IntWritable;
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.output.FileOutputFormat;
import org.apache.hadoop.util.Tool;
import org.apache.hadoop.util.ToolRunner;
import org.chombo.util.RichAttribute;
import org.chombo.util.RichAttributeSchema;
import org.chombo.util.Tuple;
import org.chombo.util.Utility;
import org.codehaus.jackson.map.ObjectMapper;
/**
* Multigram distribution on either single or multiple attributes
* @author pranab
*
*/
public class MultigramMultiVariateDistribution extends Configured implements Tool {
@Override
public int run(String[] args) throws Exception {
Job job = new Job(getConf());
String jobName = "Muti variate distribution MR";
job.setJobName(jobName);
job.setJarByClass(MultigramMultiVariateDistribution.class);
FileInputFormat.addInputPath(job, new Path(args[0]));
FileOutputFormat.setOutputPath(job, new Path(args[1]));
job.setMapperClass(MultigramMultiVariateDistribution.HistogramMapper.class);
job.setReducerClass(MultigramMultiVariateDistribution.HistogramReducer.class);
job.setMapOutputKeyClass(Tuple.class);
job.setMapOutputValueClass(IntWritable.class);
job.setOutputKeyClass(NullWritable.class);
job.setOutputValueClass(Text.class);
Utility.setConfiguration(job.getConfiguration());
int numReducer = job.getConfiguration().getInt("mmvd.num.reducer", -1);
numReducer = -1 == numReducer ? job.getConfiguration().getInt("num.reducer", 1) : numReducer;
job.setNumReduceTasks(numReducer);
int status = job.waitForCompletion(true) ? 0 : 1;
return status;
}
/**
* @author pranab
*
*/
public static class HistogramMapper extends Mapper<LongWritable, Text, Tuple, IntWritable> {
private String[] items;
private Tuple outKey = new Tuple();
private IntWritable outVal = new IntWritable(1);
private String fieldDelimRegex;
private RichAttributeSchema schema;
private String keyCompSt;
private Integer keyCompInt;
private int numFields;
private RichAttribute partitionField;
private RichAttribute idField;
private int[] fieldOrdinals;
private Map<String, List<Object[]>> sequences = new HashMap<String, List<Object[]>>();
private int fieldCount;
private int sequenceLength;
private String id;
private String partitionAttr;
protected void setup(Context context) throws IOException, InterruptedException {
Configuration conf = context.getConfiguration();
fieldDelimRegex = conf.get("field.delim.regex", "\\[\\]");
String filePath = conf.get("mmvd.histogram.schema.file.path");
FileSystem dfs = FileSystem.get(conf);
Path src = new Path(filePath);
FSDataInputStream fs = dfs.open(src);
ObjectMapper mapper = new ObjectMapper();
schema = mapper.readValue(fs, RichAttributeSchema.class);
numFields = schema.getFields().size();
partitionField = schema.getPartitionField();
idField = schema.getIdField();
fieldOrdinals = Utility.intArrayFromString(conf.get("mmvd.hist.field.ordinals"));
if (null != fieldOrdinals) {
fieldCount = fieldOrdinals.length;
} else {
fieldCount = schema.getAttributeCount(true, true);
}
sequenceLength = conf.getInt("mmvd.sequence.length", 3);
}
@Override
protected void map(LongWritable key, Text value, Context context)
throws IOException, InterruptedException {
items = value.toString().split(fieldDelimRegex);
if (items.length != numFields){
context.getCounter("Data", "Invalid").increment(1);
return;
}
if(null != partitionField) {
partitionAttr = items[partitionField.getOrdinal()];
}
id = items[idField.getOrdinal()];
List<Object[]> sequence = sequences.get(id);
if (null == sequence) {
sequence = new ArrayList<Object[]>();
sequences.put(id, sequence);
}
Object[] rec;
if (sequence.size() == sequenceLength) {
//full sequence, reuse record
rec = sequence.remove(0);
} else {
//partial sequence
rec = new Object[fieldCount];
}
//build record
int j = 0;
if (null != fieldOrdinals) {
//use specified fields only
for (int i : fieldOrdinals) {
RichAttribute field = schema.findAttributeByOrdinal(i);
buildRec(rec, j, field);
++j;
}
} else {
//use all fields
for (RichAttribute field : schema.getFields()) {
buildRec(rec, j, field);
++j;
}
}
//add record to sequence
sequence.add(rec);
if (sequence.size() == sequenceLength) {
//emit
buildKey();
context.write(outKey, outVal);
}
}
/**
* @param field
*/
private void buildKey() {
outKey.initialize();
if (null != partitionAttr) {
outKey.add(partitionAttr);
}
List<Object[]> sequence = sequences.get(id);
//all records
for (Object[] rec : sequence) {
//all fields
for (Object field : rec) {
outKey.add(field);
}
}
}
/**
* @param field
*/
private void buildRec(Object[] rec, int index, RichAttribute field) {
if (!field.isId() && !field.isPartitionAttribute()) {
String item = items[field.getOrdinal()];
if (field.isCategorical()){
keyCompSt = item;
rec[index] = keyCompSt;
} else if (field.isInteger()) {
keyCompInt = Integer.parseInt(item) / field.getBucketWidth();
rec[index] = keyCompInt;
} else if (field.isDouble()) {
keyCompInt = ((int)Double.parseDouble(item)) / field.getBucketWidth();
rec[index] = keyCompInt;
}
}
}
}
/**
* @author pranab
*
*/
public static class HistogramReducer extends Reducer<Tuple, IntWritable, NullWritable, Text> {
private Text valueOut = new Text();
private String fieldDelim ;
private int count;
/* (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", "[]");
}
protected void reduce(Tuple key, Iterable<IntWritable> values, Context context)
throws IOException, InterruptedException {
count = 0;
for (IntWritable value : values){
count += value.get();
}
key.setDelim(fieldDelim);
valueOut.set(key.toString() + fieldDelim + count);
context.write(NullWritable.get(), valueOut);
}
}
/**
* @param args
*/
public static void main(String[] args) throws Exception {
int exitCode = ToolRunner.run(new MultigramMultiVariateDistribution(), args);
System.exit(exitCode);
}
}