hadoop与eclipse的集成

vbopmzt1  于 2021-06-03  发布在  Hadoop
关注(0)|答案(2)|浏览(334)

我正在阅读和实施这个教程。最后实现了mapper、reducer和driver三个类。我复制了网页上给出的三个类的代码。但接下来的两个错误没有发生away:-

Map器类********************************************

import java.io.IOException;
import java.util.StringTokenizer;

import org.apache.hadoop.io.IntWritable;
import org.apache.hadoop.io.LongWritable;
import org.apache.hadoop.io.Text;
import org.apache.hadoop.io.Writable;
import org.apache.hadoop.io.WritableComparable;
import org.apache.hadoop.mapred.MapReduceBase;
import org.apache.hadoop.mapred.Mapper;
import org.apache.hadoop.mapred.OutputCollector;
import org.apache.hadoop.mapred.Reporter;

public class WordCountMapper extends MapReduceBase    //////Here WordCountMapper was underlined as error source by Eclipse
    implements Mapper<LongWritable, Text, Text, IntWritable> {

  private final IntWritable one = new IntWritable(1);
  private Text word = new Text();

  public void map(WritableComparable key, Writable value,
      OutputCollector output, Reporter reporter) throws IOException {

    String line = value.toString();
    StringTokenizer itr = new StringTokenizer(line.toLowerCase());
    while(itr.hasMoreTokens()) {
      word.set(itr.nextToken());
      output.collect(word, one);
    }
  }
}

错误是:

The type WordCountMapper must implement the inherited abstract method 
 Mapper<LongWritable,Text,Text,IntWritable>.map(LongWritable, Text, 
 OutputCollector<Text,IntWritable>, Reporter)

驱动程序类(wordcount.java)************

import org.apache.hadoop.fs.Path;
import org.apache.hadoop.io.IntWritable;
import org.apache.hadoop.io.Text;
import org.apache.hadoop.mapred.FileInputFormat;
import org.apache.hadoop.mapred.FileOutputFormat;
import org.apache.hadoop.mapred.JobClient;
import org.apache.hadoop.mapred.JobConf;

public class WordCount {

  public static void main(String[] args) {
    JobClient client = new JobClient();
    JobConf conf = new JobConf(WordCount.class);

    // specify output types
    conf.setOutputKeyClass(Text.class);
    conf.setOutputValueClass(IntWritable.class);

    // specify input and output dirs
    FileInputPath.addInputPath(conf, new Path("input"));  //////////FileInputPath was underlined
    FileOutputPath.addOutputPath(conf, new Path("output")); ////////FileOutputPath as underlined

    // specify a mapper
    conf.setMapperClass(WordCountMapper.class);

    // specify a reducer
    conf.setReducerClass(WordCountReducer.class);
    conf.setCombinerClass(WordCountReducer.class);

    client.setConf(conf);
    try {
      JobClient.runJob(conf);
    } catch (Exception e) {
      e.printStackTrace();
    }
  }
}

错误是:

1. FileInputPath cannot be resolved
2. FileOutputPath cannot be resolved

有人能告诉我问题出在哪里吗?提前谢谢。

iyr7buue

iyr7buue1#

使用 org.apache.hadoop.mapred.FileInputFormat , org.apache.hadoop.mapred.FileOutputFormat 并按如下方式修改代码:

// specify input and output dirs
    FileInputFormat.addInputPath(conf, new Path("input"));  
    FileOutputFormat.addOutputPath(conf, new Path("output"));
bt1cpqcv

bt1cpqcv2#

正如sachinjose所说,当我将代码更改为:-

FileInputFormat.addInputPath(conf, new Path("input"));  
    FileOutputFormat.setOutputPath(conf, new Path("output"));

在本例中,第一个错误也得到了解决(我正在复制user2357112的答案):-
您尚未提供任何类型参数。mapper是一个通用接口;它通过输入和输出键和值类型的类型参数进行参数化。用您需要的类型在以下代码中填写k1、v1、k2和v2:

public class WordMapper extends MapReduceBase implements Mapper<K1, V1, K2, V2> {
    public void map(K1 key,
                    V1 value,
                    OutputCollector<K2, V2> output,
                    Reporter reporter)
            throws IOException {
        whatever();
    }
}

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