文章标题

Hadoop系列学习-MapReduce的排序与自定义排序

默认排序

由于Hadoop默认是根据key去排序的。

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实现效果：
排序前：
1991 06
1991 08
1991 07
1989 01
1979 02
1990 03
2000 04
排序后：
1979 1979 02
1989 1989 01
1990 1990 03
1991 1991 06
1991 1991 08
1991 1991 07
2000 2000 04
是针对第一列的key进行排序。

Mappublic static class ComparedDefaultMap extends Mapper<LongWritable, Text, LongWritable, Text>{        String line;        @Override        protected void map(LongWritable key, Text value, Context context) throws IOException, InterruptedException {            line = value.toString();            String [] str = line.split(" ");            if(str.length > 1){                long l = Long.parseLong(str[0]);                context.write(new LongWritable(l), value);            }        }    }

Reduce阶段

public static class ComparedDefaultReduce extends Reducer<LongWritable, Text, LongWritable, Text>{        @Override        protected void reduce(LongWritable key, Iterable<Text> values, Context context) throws IOException, InterruptedException {            for (Text value: values){                context.write(key, value);            }        }    }

根据默认排序的结果
1979 1979 02
1989 1989 01
1990 1990 03
1991 1991 06
1991 1991 08
1991 1991 07
2000 2000 04
但是希望获得的是:

1979 1979 02
1989 1989 01
1990 1990 03
1991 1991 06
1991 1991 07
1991 1991 08
2000 2000 04

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所以需要自定义排序

自定义Writable

/** * 自定义Writable * Created with IntelliJ IDEA. * User: Administrator * Date: 15-5-20 * Time: 上午11:17 * To change this template use File | Settings | File Templates. */public class ComparedKey implements WritableComparable<ComparedKey> {    long first;    long second;    public ComparedKey() {    }    public ComparedKey(long first, long second) {        this.first = first;        this.second = second;    }    @Override    public int compareTo(ComparedKey o) {        long min = first - o.first;        if(min != 0){            return (int)min;        }        return (int)(second-o.second);    }    @Override    public void write(DataOutput out) throws IOException {        out.writeLong(first);        out.writeLong(second);    }    @Override    public void readFields(DataInput in) throws IOException {        first=in.readLong();        second=in.readLong();    }}

Map阶段

public static class ComparedMapper extends Mapper<LongWritable, Text, ComparedKey, Text>{        String line;        @Override        protected void map(LongWritable key, Text value, Mapper<LongWritable, Text, ComparedKey, Text>.Context context) throws IOException, InterruptedException {            line = value.toString();            System.out.println(line);            ComparedKey comparedKey = null;            String [] str = line.split(" ");            if(str.length>2){                long first = Long.parseLong(str[0]);                long second = Long.parseLong(str[1]);                System.out.println("SUCCESS");                comparedKey = new ComparedKey(first, second);            }            if(comparedKey != null){                System.out.println("write SUCCESS");                context.write(comparedKey, new Text(line));            }        }    }

Reduce阶段

 public static class CompareReducer extends Reducer<ComparedKey, Text, LongWritable, Text>{        @Override        protected void reduce(ComparedKey key, Iterable<Text> values, Reducer<ComparedKey, Text, LongWritable, Text>.Context context) throws IOException, InterruptedException {            for(Text text : values){                System.out.println();                context.write(new LongWritable(key.first), text);            }        }    }

执行Job中

 Job job = new Job(configuration, "compared");        job.setJarByClass(ComparedToTest.class);        job.setMapperClass(ComparedMapper.class);        job.setReducerClass(CompareReducer.class);        job.setMapOutputKeyClass(ComparedKey.class);        job.setOutputKeyClass(LongWritable.class);        job.setOutputValueClass(Text.class);

最后结果：

1979 1979 02
1989 1989 01
1990 1990 03
1991 1991 06
1991 1991 07
1991 1991 08
2000 2000 04