10月30日课堂测试

package mapreduce;
import java.io.IOException;
import java.util.StringTokenizer;
import org.apache.hadoop.fs.Path;
import org.apache.hadoop.io.IntWritable;
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.output.FileOutputFormat;
public class WordCount1{
public static void main(String[] args) throws IOException,ClassNotFoundException,InterruptedException {
Job job = Job.getInstance();
job.setJobName( "WordCount1" );
job.setJarByClass(WordCount1. class );
job.setMapperClass(doMapper. class );
job.setReducerClass(doReducer. class );
job.setOutputKeyClass(Text. class );
job.setOutputValueClass(IntWritable. class );
Path in = new Path( "hdfs://localhost:9000/mymapreduce1/in/buyer_favorite1" );
Path out = new Path( "hdfs://localhost:9000/mymapreduce1/out" );
FileInputFormat.addInputPath(job,in);
FileOutputFormat.setOutputPath(job,out);
System.exit(job.waitForCompletion( true )? 0 : 1 );
}
public static class doMapper extends Mapper{
public static final IntWritable one = new IntWritable( 1 );
public static Text word = new Text();
@Override
protected void map(Object key, Text value, Context context)
throws IOException,InterruptedException {
StringTokenizer tokenizer = new StringTokenizer(value.toString(), "  " );
word.set(tokenizer.nextToken());
context.write(word,one);
}
}
public static class doReducer extends Reducer{
private IntWritable result = new IntWritable();
@Override
protected void reduce(Text key,Iterable values,Context context)
throws IOException,InterruptedException{
int sum = 0 ;
for (IntWritable value : values){
sum += value.get();
}
result.set(sum);
context.write(key,result);
}
}
}

　　

 

buyer_favorite1文件内容：

 

 

 

运行结果：