Created
February 4, 2014 12:42
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TimeCount
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package org.aboutyun; | |
import org.apache.commons.lang.StringUtils; | |
import org.apache.hadoop.conf.Configuration; | |
import org.apache.hadoop.fs.Path; | |
import org.apache.hadoop.io.LongWritable; | |
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.TextInputFormat; | |
import org.apache.hadoop.mapreduce.lib.output.FileOutputFormat; | |
import org.apache.hadoop.mapreduce.lib.output.TextOutputFormat; | |
import java.io.IOException; | |
import java.text.ParseException; | |
import java.text.SimpleDateFormat; | |
import java.util.ArrayList; | |
import java.util.Collections; | |
import java.util.Comparator; | |
public class TimeCount { | |
public static void main(String[] args) throws Exception { | |
Configuration conf = new Configuration(); | |
Job job = new Job(conf, "time_count"); | |
job.setOutputKeyClass(Text.class); | |
job.setOutputValueClass(Text.class); | |
job.setMapperClass(Map.class); | |
job.setReducerClass(Reduce.class); | |
job.setInputFormatClass(TextInputFormat.class); | |
job.setOutputFormatClass(TextOutputFormat.class); | |
FileInputFormat.addInputPath(job, new Path(args[0])); | |
FileOutputFormat.setOutputPath(job, new Path(args[1])); | |
job.waitForCompletion(true); | |
} | |
public static class Map extends Mapper<LongWritable, Text, Text, Text> { | |
private Text id = new Text(); | |
private Text row = new Text(); | |
public void map(LongWritable key, Text value, Context context) throws IOException, InterruptedException { | |
String line = value.toString(); | |
String[] items = line.split("\t"); | |
if (items.length == 8) { | |
if (StringUtils.isNumeric(items[6])) { | |
id.set(items[0] + "\t" + items[1]); | |
row.set(line); | |
context.write(id, row); | |
} | |
} else { | |
System.out.println("Wrong length: " + items.length); | |
} | |
} | |
} | |
public static class Reduce extends Reducer<Text, Text, Text, Text> { | |
private static final SimpleDateFormat format = new SimpleDateFormat("yyyy-MM-dd HH:mm:ss"); | |
static { | |
format.setLenient(false); | |
} | |
private Text rest = new Text(); | |
public void reduce(Text key, Iterable<Text> values, Context context) | |
throws IOException, InterruptedException { | |
// Parse row to Record | |
ArrayList<Record> list = new ArrayList<Record>(); | |
for (Text row : values) { | |
String[] items = row.toString().split("\t"); | |
try { | |
Record record = new Record(); | |
record.items = items; | |
record.start_time = format.parse(items[3]).getTime(); | |
record.stay_time = Long.parseLong(items[6]) * 1000; | |
list.add(record); | |
} catch (ParseException e) { | |
e.printStackTrace(); | |
} | |
} | |
// Sort | |
Collections.sort(list, new Comparator<Record>() { | |
@Override | |
public int compare(Record r1, Record r2) { | |
return (int) (r1.start_time - r2.start_time); | |
} | |
}); | |
// Find and merge slice | |
ArrayList<Record> result = new ArrayList<Record>(); | |
for (Record r1 : list) { | |
boolean found = false; | |
long r1_stop_time = r1.start_time + r1.stay_time; | |
for (Record r2 : result) { | |
long r2_stop_time = r2.start_time + r2.stay_time; | |
if (r1.start_time > r2.start_time && r1.start_time <= r2_stop_time && r1_stop_time > r2_stop_time) { | |
// merge the new slice | |
r2.stay_time = r1_stop_time - r2.start_time; | |
found = true; | |
} | |
} | |
if (!found) { | |
result.add(r1); | |
} | |
} | |
// Output | |
for (Record r : result) { | |
key.set(r.items[0]); | |
String value = r.items[1] + "\t" | |
+ r.items[2] + "\t" | |
+ r.items[3] + "\t" | |
+ r.items[4] + "\t" | |
+ r.items[5] + "\t" | |
+ (r.stay_time / 1000) + "\t" | |
+ r.items[6] + "\t"; | |
rest.set(value); | |
context.write(key, rest); | |
} | |
} | |
static class Record { | |
String[] items; | |
long start_time; | |
long stay_time; | |
} | |
} | |
} |
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