/*
* chombo: Hadoop Map Reduce utility
* 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.chombo.mr;
import java.io.IOException;
import java.util.Map;
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.output.FileOutputFormat;
import org.apache.hadoop.util.Tool;
import org.apache.hadoop.util.ToolRunner;
import org.chombo.util.SeasonalAnalyzer;
import org.chombo.util.Tuple;
import org.chombo.util.Utility;
/**
* Detects seasonality by building histogram based on specified type of sesonality
* @author pranab
*
*/
public class SeasonalDetector extends Configured implements Tool {
private static String configDelim = ",";
private static final String AGGR_COUNT = "count";
private static final String AGGR_SUM = "sum";
private static final String AGGR_AVG = "average";
@Override
public int run(String[] args) throws Exception {
Job job = new Job(getConf());
String jobName = "Seasonal aggregator for numerical attributes";
job.setJobName(jobName);
job.setJarByClass(SeasonalDetector.class);
FileInputFormat.addInputPath(job, new Path(args[0]));
FileOutputFormat.setOutputPath(job, new Path(args[1]));
Utility.setConfiguration(job.getConfiguration(), "chombo");
job.setMapperClass(SeasonalDetector.AggregatorMapper.class);
job.setReducerClass(SeasonalDetector.AggregateReducer.class);
job.setCombinerClass(SeasonalDetector.AggregateCombiner.class);
job.setMapOutputKeyClass(Tuple.class);
job.setMapOutputValueClass(Tuple.class);
job.setOutputKeyClass(NullWritable.class);
job.setOutputValueClass(Text.class);
int numReducer = job.getConfiguration().getInt("sed.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 AggregatorMapper extends Mapper<LongWritable, Text, Tuple, Tuple> {
private Tuple outKey = new Tuple();
private Tuple outVal = new Tuple();
private int[] attributes;
private String fieldDelimRegex;
private String[] items;
private int[] idOrdinals;
private int timeStampFieldOrdinal;
private String seasonalCycleType;
private int cycleIndex;
private long timeStamp;
private String aggregatorType;
private SeasonalAnalyzer seasonalAnalyzer;
protected void setup(Context context) throws IOException, InterruptedException {
Configuration config = context.getConfiguration();
fieldDelimRegex = config.get("field.delim.regex", ",");
attributes = Utility.assertIntArrayConfigParam(config, "sed.quant.attr.list", fieldDelimRegex,
"missing quant attribute list");
idOrdinals = Utility.intArrayFromString(config.get("sed.id.field.ordinals"), configDelim);
timeStampFieldOrdinal = Utility.assertIntConfigParam(config,"sed.time.stamp.field.ordinal",
"missing timestamp field ordinal");
seasonalCycleType = Utility.assertStringConfigParam(config,"sed.seasonal.cycle.type",
"missing seasonal cycle type");
aggregatorType = config.get("sed.aggregator.type", AGGR_AVG);
seasonalAnalyzer = new SeasonalAnalyzer(seasonalCycleType);
//additional configuration
if (seasonalCycleType.equals(SeasonalAnalyzer.HOUR_RANGE_OF_WEEK_DAY ) ||
seasonalCycleType.equals(SeasonalAnalyzer.HOUR_RANGE_OF_WEEK_END_DAY ) ) {
Map<Integer, Integer> hourRanges = Utility. assertIntegerIntegerMapConfigParam(config, "sed.hour.groups",
Utility.configDelim, Utility.configSubFieldDelim, "missing hour groups", true);
seasonalAnalyzer.setHourRanges(hourRanges);
}
//time zone adjustment
int timeZoneShiftHours = config.getInt("sed.time.zone.shift.hours", 0);
if (timeZoneShiftHours > 0) {
seasonalAnalyzer.setTimeZoneShiftHours(timeZoneShiftHours);
}
//timestamp unit
boolean timeStampInMili = config.getBoolean("sed.time.stamp.in.mili", true);
seasonalAnalyzer.setTimeStampInMili(timeStampInMili);
}
@Override
protected void map(LongWritable key, Text value, Context context)
throws IOException, InterruptedException {
items = value.toString().split(fieldDelimRegex, -1);
timeStamp = Long.parseLong(items[timeStampFieldOrdinal]);
cycleIndex = seasonalAnalyzer.getCycleIndex(timeStamp);
if (cycleIndex >= 0) {
for (int attr : attributes) {
outKey.initialize();
outVal.initialize();
if (null != idOrdinals) {
outKey.addFromArray(items, idOrdinals);
}
outKey.add(seasonalAnalyzer.getParentCycleIndex(), cycleIndex, attr);
if (aggregatorType.equals(AGGR_COUNT)) {
outVal.add(1);
} else if (aggregatorType.equals(AGGR_SUM)) {
outVal.add(Double.parseDouble(items[attr]));
} else if (aggregatorType.equals(AGGR_AVG)) {
outVal.add(1, Double.parseDouble(items[attr]));
} else {
throw new IllegalArgumentException("invalid aggregation function");
}
context.write(outKey, outVal);
}
}
}
}
/**
* @author pranab
*
*/
public static class AggregateCombiner extends Reducer<Tuple, Tuple, Tuple, Tuple> {
private Tuple outVal = new Tuple();
private int totalCount;
private double sum;
private String aggregatorType;
/* (non-Javadoc)
* @see org.apache.hadoop.mapreduce.Reducer#setup(org.apache.hadoop.mapreduce.Reducer.Context)
*/
protected void setup(Context context) throws IOException, InterruptedException {
Configuration config = context.getConfiguration();
aggregatorType = config.get("sed.aggregator.type");
}
/* (non-Javadoc)
* @see org.apache.hadoop.mapreduce.Reducer#reduce(KEYIN, java.lang.Iterable, org.apache.hadoop.mapreduce.Reducer.Context)
*/
protected void reduce(Tuple key, Iterable<Tuple> values, Context context)
throws IOException, InterruptedException {
sum = 0;
totalCount = 0;
for (Tuple val : values) {
if (aggregatorType.equals(AGGR_COUNT)) {
totalCount += val.getInt(0);
} else if (aggregatorType.equals(AGGR_SUM)) {
sum += val.getDouble(0);
} else if (aggregatorType.equals(AGGR_AVG)) {
totalCount += val.getInt(0);
sum += val.getDouble(1);
}
}
outVal.initialize();
if (aggregatorType.equals(AGGR_COUNT)) {
outVal.add(totalCount);
} else if (aggregatorType.equals(AGGR_SUM)) {
outVal.add(sum);
} else if (aggregatorType.equals(AGGR_AVG)) {
outVal.add(totalCount, sum);
}
context.write(key, outVal);
}
}
/**
* @author pranab
*
*/
public static class AggregateReducer extends Reducer<Tuple, Tuple, NullWritable, Text> {
protected Text outVal = new Text();
protected StringBuilder stBld = new StringBuilder();;
protected String fieldDelim;
protected double sum;
protected int totalCount;
private double average;
private String aggregatorType;
protected void setup(Context context) throws IOException, InterruptedException {
Configuration config = context.getConfiguration();
fieldDelim = config.get("field.delim.out", ",");
aggregatorType = config.get("sed.aggregator.type");
}
protected void reduce(Tuple key, Iterable<Tuple> values, Context context)
throws IOException, InterruptedException {
sum = 0;
totalCount = 0;
for (Tuple val : values) {
if (aggregatorType.equals(AGGR_COUNT)) {
totalCount += val.getInt(0);
} else if (aggregatorType.equals(AGGR_SUM)) {
sum += val.getDouble(0);
} else if (aggregatorType.equals(AGGR_AVG)) {
totalCount += val.getInt(0);
sum += val.getDouble(1);
}
}
if (aggregatorType.equals(AGGR_COUNT)) {
outVal.set(key.toString() + fieldDelim + totalCount);
} else if (aggregatorType.equals(AGGR_SUM)) {
outVal.set(key.toString() +fieldDelim + String.format("%.3f", sum));
} else if (aggregatorType.equals(AGGR_AVG)) {
average = sum / totalCount;
outVal.set(key.toString() +fieldDelim + String.format("%.3f", average));
}
context.write(NullWritable.get(), outVal);
}
}
/**
* @param args
*/
public static void main(String[] args) throws Exception {
int exitCode = ToolRunner.run(new SeasonalDetector(), args);
System.exit(exitCode);
}
}