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<strong><span style="font-size:18px;">/***
* @author YangXin
* @info Mapper选择艺术家的整数特征ID然后建立单个特征的向量。这些一维的部分
* 向量会传给Reducer,后者会将这些向量简单地进行联结,生成一个完整的向量。
*/
package unitTwelve;
import java.io.IOException;
import java.util.HashMap;
import java.util.Map;
import java.util.regex.Pattern;
import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.io.DefaultStringifier;
import org.apache.hadoop.io.LongWritable;
import org.apache.hadoop.io.Text;
import org.apache.hadoop.mapreduce.Mapper;
import org.apache.hadoop.util.GenericsUtil;
import org.apache.mahout.math.NamedVector;
import org.apache.mahout.math.SequentialAccessSparseVector;
import org.apache.mahout.math.VectorWritable;
public class VectorMapper extends Mapper<LongWritable, Text, Text, VectorWritable>{
private Pattern splitter;
private VectorWritable writer;
private Map<String, Integer> dictionary = new HashMap<String, Integer>();
@Override
protected void map(LongWritable key, Text value, Context context) throws IOException, InterruptedException{
String[] fields = splitter.split(value.toString());
if(fields.length < 4){
context.getCounter("Map", "LinesWithErrors").increment(1);
return;
}
String arrtist = fields[1];
String tag = fields[2];
double weight = Double.parseDouble(fields[3]);
NamedVector vector = new NamedVector(new SequentialAccessSparseVector(dictionary.size()), tag);
vector.set(dictionary.get(value), weight);
writer.set(vector);
context.write(new Text(tag), writer);
}
@Override
protected void setup(Context context) throws IOException, InterruptedException{
super.setup(context);
Configuration conf = context.getConfiguration();
DefaultStringifier<Map<String, Integer>> mapStringifier = new DefaultStringifier<Map<String, Integer>>(conf, GenericsUtil.getClass(dictionary));
dictionary = mapStringifier.fromString(conf.get("dictionary"));
splitter = Pattern.compile("<sep>");
writer = new VectorWritable();
}
}
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原文地址:http://blog.csdn.net/u012965373/article/details/50811633