/*
* visitante: Web analytic using Hadoop Map Reduce
* 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, softwarSessionSummarizere
* 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.visitante.basic;
import java.io.IOException;
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.TextLong;
import org.chombo.util.Tuple;
import org.chombo.util.Utility;
import org.visitante.basic.SessionExtractor.SessionIdGroupComprator;
import org.visitante.basic.SessionExtractor.SessionIdPartitioner;
/**
* @author pranab
*
*/
public class UserSessionSummary extends Configured implements Tool {
@Override
public int run(String[] args) throws Exception {
Job job = new Job(getConf());
String jobName = "web log user session summary MR";
job.setJobName(jobName);
job.setJarByClass(UserSessionSummary.class);
FileInputFormat.addInputPath(job, new Path(args[0]));
FileOutputFormat.setOutputPath(job, new Path(args[1]));
Utility.setConfiguration(job.getConfiguration(), "visitante");
job.setMapperClass(UserSessionSummary.SessionMapper.class);
job.setReducerClass(UserSessionSummary.SessionReducer.class);
job.setMapOutputKeyClass(TextLong.class);
job.setMapOutputValueClass(Tuple.class);
job.setOutputKeyClass(NullWritable.class);
job.setOutputValueClass(Text.class);
job.setGroupingComparatorClass(SessionExtractor.SessionIdGroupComprator.class);
job.setPartitionerClass(SessionExtractor.SessionIdPartitioner.class);
job.setNumReduceTasks(job.getConfiguration().getInt("num.reducer", 1));
int status = job.waitForCompletion(true) ? 0 : 1;
return status;
}
public static class SessionMapper extends Mapper<LongWritable, Text, TextLong, Tuple> {
private String[] items;
private TextLong outKey = new TextLong();
private Tuple outVal = new Tuple();
private String fieldDelimRegex;
private String userID;
private Long timeStart;
protected void setup(Context context) throws IOException, InterruptedException {
fieldDelimRegex = context.getConfiguration().get("uss.field.delim.regex", ",");
}
@Override
protected void map(LongWritable key, Text value, Context context)
throws IOException, InterruptedException {
items = value.toString().split(fieldDelimRegex);
userID = items[1];
timeStart = Long.parseLong(items[3]);
outKey.set(userID, timeStart);
outVal.initialize();
outVal.add( items[0], new Integer(items[2]), new Integer( items[4]), items[7], new Integer(items[6]), timeStart);
context.write(outKey, outVal);
}
}
public static class SessionReducer extends Reducer<TextLong, Tuple, NullWritable, Text> {
private Text outVal = new Text();
private String fieldDelim;
private String userID;
private String referrer;
private int totalPages;
private int totalTime;
private int status;
private int count;
private int avNumPages;
private long avTimeSpent;
private StringBuilder stBld = new StringBuilder();
private static final int FLOW_COMPLETED = 2;
private int countToConversion;
private long lastSessionStartTime;
private long totalInBetweenSessionTime;
private long avInBetweenSessionTime;
protected void setup(Context context) throws IOException, InterruptedException {
fieldDelim = context.getConfiguration().get("field.delim.out", ",");
}
protected void reduce(TextLong key, Iterable<Tuple> values, Context context)
throws IOException, InterruptedException {
userID = key.getFirst().toString();
boolean first = true;
totalPages = 0;
totalTime = 0;
count = 0;
countToConversion = 0;
totalInBetweenSessionTime = 0;
lastSessionStartTime = 0;
avInBetweenSessionTime = 0;
stBld.delete(0, stBld.length());
//all sessions
for (Tuple val : values) {
if (first) {
referrer = val.getString(3);
lastSessionStartTime = val.getLong(5);
first = false;
}
totalPages += val.getInt(1);
totalTime += val.getInt(2);
totalInBetweenSessionTime += val.getLong(5) - lastSessionStartTime;
lastSessionStartTime = val.getLong(5);
++count;
status = val.getInt(4);
if (status == FLOW_COMPLETED ) {
countToConversion = count;
//break;
}
}
status = status == FLOW_COMPLETED ? 1 : 0;
avNumPages = totalPages / count;
avTimeSpent = totalTime / count;
if (count > 1) {
avInBetweenSessionTime = totalInBetweenSessionTime / (count -1);
}
stBld.append(userID).append(fieldDelim).append(referrer).append(fieldDelim).append(countToConversion).append(fieldDelim).
append(avNumPages).append(fieldDelim).append(avTimeSpent).append(fieldDelim).append(status).
append(fieldDelim).append(count).append(fieldDelim).append(avInBetweenSessionTime);
outVal.set(stBld.toString());
context.write(NullWritable.get(),outVal);
}
}
public static void main(String[] args) throws Exception {
int exitCode = ToolRunner.run(new UserSessionSummary(), args);
System.exit(exitCode);
}
}