计数器

 

 

 

package com.atguigu.etl;

import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.fs.Path;
import org.apache.hadoop.io.NullWritable;
import org.apache.hadoop.mapreduce.Job;
import org.apache.hadoop.mapreduce.lib.input.FileInputFormat;
import org.apache.hadoop.mapreduce.lib.output.FileOutputFormat;

import javax.xml.soap.Text;

public class etlDriver {
    public static void main(String[] args) throws Exception {

        Job job = Job.getInstance(new Configuration());

        job.setJarByClass(etlDriver.class);

        job.setMapperClass(etlMapper.class);
        job.setNumReduceTasks(0);

        job.setMapOutputKeyClass(Text.class);
        job.setMapOutputValueClass(NullWritable.class);

        FileInputFormat.setInputPaths(job,new Path("input/log.txt"));
        FileOutputFormat.setOutputPath(job,new Path("output"));


        boolean b = job.waitForCompletion(true);
        System.exit(b?0:1);
    }
}


/*
    etl
        False=4
        True=2
 */

 

 

package com.atguigu.etl;

import org.apache.hadoop.io.LongWritable;
import org.apache.hadoop.io.NullWritable;
import org.apache.hadoop.io.Text;
import org.apache.hadoop.mapreduce.Mapper;

import java.io.IOException;

public class etlMapper extends Mapper<LongWritable,Text, Text, NullWritable> {
    @Override
    protected void map(LongWritable key, Text value, Context context) throws IOException, InterruptedException {
        String[] fiels = value.toString().split(",");

        if(fiels.length>5){
            context.write(value,NullWritable.get());
            context.getCounter("etl","True").increment(1);
        }else{
            context.getCounter("etl","False").increment(1);
        }
    }
}

 

posted on 2020-11-22 11:33  happygril3  阅读(70)  评论(0)    收藏  举报

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