java - MapReduce 程序产生空输出

Question

我创建了一个 mapreduce 程序来获取世界指标数据来显示我想要分析的特定指标的结果。 (即二氧化碳排放量)。数据排成一长行，包括国家、代码、指标、第 1 年排放量、第 2 年排放量等。在我的映射器中，我试图只保留我想要的数据(首先只保留线，如果它具有特定指标)，然后保留国家和所有排放水平(在字符串数组中)。

我的整个程序运行，但我注意到它正在接收 Map 输入记录，但没有 Map 输出记录或 Reduce Input/Output 记录。

我一直试图找出我的逻辑哪里出了问题，但我很困惑。感谢任何输入。

我的代码如下:

---映射器--

package org.myorg;

import java.io.IOException;

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

public class CO2Mapper extends Mapper <LongWritable, Text, Text, IntWritable>
{
    public void map(LongWritable key, Text value, Context context) throws IOException, InterruptedException
    {
        String delims = ",";
        String splitString = value.toString();

        String[] tokens = splitString.split(delims);

        int tokenCount = tokens.length;
        String country = tokens[1]; 
        String indicator = tokens[3];
        int levels;

        if(indicator.equals("EN.ATM.CO2E.KT"))
        {   
            for (int j = 4; j < tokenCount; j++)
            {
                levels = Integer.parseInt(tokens[j]);
                context.write(new Text(country), new IntWritable(levels));
            }
        }
    } 
}

---- reducer ---

package org.myorg;

import java.io.IOException;

import org.apache.hadoop.io.IntWritable;
import org.apache.hadoop.io.Text;
import org.apache.hadoop.mapreduce.Reducer;


public class CO2Reducer extends Reducer<Text, IntWritable, Text, IntWritable>
{
    @Override
    public void reduce(Text key, Iterable<IntWritable> values, Context context) throws IOException, InterruptedException
    {
        int maxValue = Integer.MIN_VALUE;
        int minValue = Integer.MAX_VALUE;
        for(IntWritable val : values)
        {
            maxValue = Math.max(maxValue, val.get());
            minValue = Math.min(minValue, val.get());
        }

        context.write(key, new IntWritable(maxValue));
        context.write(key, new IntWritable(minValue));
    }
}

---主要---

package org.myorg;

import org.apache.hadoop.fs.Path;
import org.apache.hadoop.io.Text;
import org.apache.hadoop.io.IntWritable;
import org.apache.hadoop.conf.Configuration;

import org.apache.hadoop.mapreduce.*;
import org.apache.hadoop.mapreduce.lib.input.FileInputFormat;
import org.apache.hadoop.mapreduce.lib.input.TextInputFormat;
import org.apache.hadoop.mapreduce.lib.output.FileOutputFormat;
import org.apache.hadoop.mapreduce.lib.output.TextOutputFormat;
//import org.apache.hadoop.mapreduce.lib.input.KeyValueTextInputFormat;

public class CO2Levels 
{

    public static void main(String[] args) throws Exception  
    {    
        //with mapreduce

        Configuration conf = new Configuration();
        Job job = new Job(conf, "co2Levels");

        //Job job = new Job();

        job.setJarByClass(CO2Levels.class);
        //job.setJobName("co2Levels");
        job.setMapperClass(CO2Mapper.class);
        job.setReducerClass(CO2Reducer.class);
        job.setOutputKeyClass(Text.class);
        job.setOutputValueClass(IntWritable.class);
        job.setOutputFormatClass(TextOutputFormat.class);
        job.setInputFormatClass(TextInputFormat.class);
        //job.setInputFormatClass(KeyValueTextInputFormat.class);
        FileInputFormat.addInputPath(job, new Path(args[0]));
        FileOutputFormat.setOutputPath(job, new Path(args[1]));
        System.exit(job.waitForCompletion(true) ? 0 : 1);

    }
}

Answer 1

从示例输入中我发现 token 的格式为 6.16E+03 抛出异常，无法解析为整数。

此外，如果您想检查 system.out.println() 的去向，check this