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我的數據文件是:如何使用Java Hadoop map reduce以降序對數據集中的列進行排序?
Utsav Chatterjee Dangerous Soccer Coldplay 4
Rodney Purtle Awesome Football Maroon5 3
Michael Gross Amazing Basketball Iron Maiden 6
Emmanuel Ezeigwe Cool Pool Metallica 5
John Doe Boring Golf Linkin Park 8
David Bekham Godlike Soccer Justin Beiber 89
Abhishek Kumar Geek Cricket Abhishek Kumar 7
Abhishek Singh Geek Cricket Abhishek Kumar 7
我想通過列號作爲參數調用時Hadoop的罐子,我需要整個數據集的基礎上按降序排列特定列進行排序。我可以通過將所需列設置爲映射器輸出中的鍵,以升序順序輕鬆完成此操作。但是,我無法按降序完成此操作。
我的映射器和減速代碼:
public static class Map extends Mapper<LongWritable,Text,Text,Text>{
public static void map(LongWritable key, Text value, Context context)
throws IOException,InterruptedException
{
Configuration conf = context.getConfiguration();
String param = conf.get("columnRef");
int colref = Integer.parseInt(param);
String line = value.toString();
String[] parts = line.split("\t");
context.write(new Text(parts[colref]), value);
}
}
public static class Reduce extends Reducer<Text,Text,Text,Text>{
public void reduce(Text key, Iterable<Text> value, Context context)
throws IOException,InterruptedException
{
for (Text text : value) {
context.write(text,null);
}
}
}
我比較類:
public static class sortComparator extends WritableComparator {
protected sortComparator() {
super(LongWritable.class, true);
// TODO Auto-generated constructor stub
}
@Override
public int compare(WritableComparable o1, WritableComparable o2) {
LongWritable k1 = (LongWritable) o1;
LongWritable k2 = (LongWritable) o2;
int cmp = k1.compareTo(k2);
return -1 * cmp;
}
}
我可能做錯事與比較。有人可以幫我從這裏出去嗎?當我運行這個時,選擇索引爲5的列(數字最後一列)作爲此類的基礎,我仍然按升序得到結果。
Driver類:
public static void main(String[] args) throws Exception {
Configuration conf= new Configuration();
conf.set("columnRef", args[2]);
Job job = new Job(conf, "Sort");
job.setJarByClass(Sort.class);
job.setMapperClass(Map.class);
job.setReducerClass(Reduce.class);
job.setOutputKeyClass(Text.class);
job.setOutputValueClass(Text.class);
job.setSortComparatorClass(DescendingKeyComparator.class);
job.setInputFormatClass(TextInputFormat.class);
job.setOutputFormatClass(TextOutputFormat.class);
Path outputPath = new Path(args[1]);
FileInputFormat.addInputPath(job, new Path(args[0]));
FileOutputFormat.setOutputPath(job, new Path(args[1]));
outputPath.getFileSystem(conf).delete(outputPath);
System.exit(job.waitForCompletion(true) ? 0 : 1);
}
如何可能能夠實現這個任務(降序)將是我非常有幫助的任何建議! 感謝