Create hadoop Job - Java Big Data

Description

Create hadoop Job
Demo Code



import java.io.IOException;
import java.util.Iterator;

import org.apache.hadoop.conf.Configuration;
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;
import org.apache.hadoop.mapreduce.lib.output.MultipleOutputs;
import org.apache.hadoop.mapreduce.lib.output.TextOutputFormat;

public class CountBlog {
  
  enum Counter {/*w ww. jav  a  2s. c om*/
    TIMESKIP,     
    IPSKIP,       
    URLSKIP,      
    SERSKIP,      
  }
  public static class countBlogMapper extends Mapper<Object,Text,Text,IntWritable> {
    public final static IntWritable ONE = new IntWritable(1);
    public Text word = new Text();
    
    @Override
    public void setup(Context context) {
      
    }
    
    @Override
    public void map(Object key,Text value,Context context) throws IOException, InterruptedException{
      try {
        Log log = Log.parser(value.toString());
        if(log.isBlog()) {
          word.set("1:"+log.getIp());
          context.write(word, ONE);
        }else if(log.isPersionalBlog()) {
          word.set("2:"+log.getIp());
          context.write(word, ONE);
        }
      }catch(MyException eM) {
        context.getCounter(Counter.IPSKIP).increment(1);
      }
    }
    
    @Override
    public void cleanup(Context context) {
      
    }
  }
  
  /**
   * 
   * Reduce
   */
  public static class countBlogReducer extends Reducer<Text,IntWritable,Text,IntWritable> {
    
    int sum = 0;
    private MultipleOutputs<Text,IntWritable> mos;
    
    @Override
    public void setup(Context context) throws IOException, InterruptedException {
      mos = new MultipleOutputs<Text, IntWritable>(context);
    }
    
    public void reduce(Text key,Iterable<IntWritable> values,Context context) throws IOException, InterruptedException {
      Iterator<IntWritable> ite = values.iterator();
      sum = 0;
      while(ite.hasNext()) {
        sum++;
        ite.next();
      }
      if(key.toString().split(":")[0].equals("1")) {
        context.write(new Text(key.toString().split(":")[1]), new IntWritable(sum));
      }else {
        mos.write("test",new Text(key.toString().split(":")[1]), new IntWritable(sum));
      }
    }
    
    @Override
    public void cleanup(Context context) throws IOException, InterruptedException {
      mos.close();
    }
  }
  
  @SuppressWarnings("deprecation")
  public static void main(String[] args) throws IOException, ClassNotFoundException, InterruptedException {
    Path input = new Path("hdfs://192.168.32.131/in/yourApp/");
    Path output = new Path("hdfs://192.168.32.131/out/yourAppcountBlog/");
    
    Configuration conf = new Configuration();
    
    Job job = new Job(conf,"countBlog");
    
    job.setJarByClass(CountBlog.class);
    
    job.setMapperClass(countBlogMapper.class);
    job.setReducerClass(countBlogReducer.class);
    
    job.setOutputKeyClass(Text.class);
    job.setOutputValueClass(IntWritable.class);
    
    MultipleOutputs.addNamedOutput(job, "test", TextOutputFormat.class,Text.class, IntWritable.class);
    
    FileInputFormat.addInputPath(job, input);
    FileOutputFormat.setOutputPath(job, output);
    
    System.exit(job.waitForCompletion(true)?0:1);
  }

}
Create hadoop Job - Java Big Data

Description

Demo Code

Related Tutorials
