如何按计数/值而不是按键对wordcount输出进行排序。
在正常情况下,输出为
hi 2
hw 3
wr 1
r 3
但是期望的输出是
wr 1
hi 2
hw 3
r 3
我的代码是:
public class sortingprog {
public static class Map extends MapReduceBase implements Mapper<LongWritable, Text, IntWritable, Text> {
private final static IntWritable one = new IntWritable(1);
private Text word = new Text();
public void map(LongWritable key, Text value, OutputCollector<IntWritable, Text> output, Reporter reporter) throws IOException {
String line = value.toString();
StringTokenizer tokenizer = new StringTokenizer(line);
while (tokenizer.hasMoreTokens()) {
word.set(tokenizer.nextToken());
output.collect(one,word);
}
}
}
public static class Reduce extends MapReduceBase implements Reducer<IntWritable,Text, IntWritable, Text> {
public void reduce(Iterator<IntWritable> key, Text value, OutputCollector<IntWritable, Text> output, Reporter reporter) throws IOException {
int sum=0;
while (key.hasNext()) {
sum+=key.next().get();
}
output.collect(new IntWritable(sum),value);
}
@Override
public void reduce(IntWritable arg0, Iterator<Text> arg1,
OutputCollector<IntWritable, Text> arg2, Reporter arg3)
throws IOException {
// TODO Auto-generated method stub
}
}
public static class GroupComparator extends WritableComparator {
protected GroupComparator() {
super(IntWritable.class, true);
}
@SuppressWarnings("rawtypes")
@Override
public int compare(WritableComparable w1, WritableComparable w2) {
IntWritable v1 = (IntWritable) w1;
IntWritable v2 = (IntWritable) w2;
return -1 * v1.compareTo(v2);
}
}
public static void main(String[] args) throws Exception {
JobConf conf = new JobConf(sortingprog.class);
conf.setJobName("wordcount");
conf.setOutputKeyClass(IntWritable.class);
conf.setOutputValueClass(Text.class);
conf.setMapperClass(Map.class);
conf.setReducerClass(Reduce.class);
conf.setOutputValueGroupingComparator(GroupComparator.class);
conf.setInputFormat(TextInputFormat.class);
conf.setOutputFormat(TextOutputFormat.class);
FileInputFormat.setInputPaths(conf, new Path(args[0]));
FileOutputFormat.setOutputPath(conf, new Path(args[1]));
JobClient.runJob(conf);
}
}
您要查找的内容称为"辅助排序"。在这里,您可以找到两个关于如何在MapReduce:中实现短值的教程
http://vangjee.wordpress.com/2012/03/20/secondary-sorting-aka-sorting-values-in-hadoops-mapreduce-programming-paradigm/
http://codingjunkie.net/secondary-sort/
您需要执行以下操作。
- 创建一个使用这两个字段的自定义可写可比项
- 在compareTo方法中,提供了比较自定义可写的实现逻辑。减速器稍后会调用此操作来对关键帧进行排序。这是整个实施的关键。在compareTo中,只使用第二个字段来比较值
public CustomPair implements WritableComparable{
public CustomPair(String fld1,int fld2){
this.fld1=fld1; //wr
this.fld2=fld2;//1
}
@Override
public int compareTo(Object o2) {
CustomPair other = (CustomPair ) o2;
int compareValue = other.fld2().compareTo(this.fld2());
return compareValue;
}
public void write(DataOutput out) throws IOException {
dataOutput.writeUTF(fld1);
dataOutput.writeInt(fld2);
}
// You have to implement the rest of the methods.
如果你需要额外的帮助,请告诉我。
}