Windows 下运行 Hadoop 并部署到 AWS(qbit)

本文环境

Windows 10
JDK 8
IntelliJ IDEA 2019.3.4(Community Edition)
Hadoop 2.8.5
AWS EMR 5.3.0

详细步骤

  • 新建 Maven 工程

Windows 下运行 Hadoop 并部署到 AWS(qbit)_第1张图片

  • 修改 pom.xml 配置


    4.0.0

    mapreducedemo
    mapreducedemo
    1.0-SNAPSHOT

    
        2.8.5
    

    
        
            org.apache.hadoop
            hadoop-client
            ${hadoop.version}
        
    
  • 新建 PackageJava Class

Windows 下运行 Hadoop 并部署到 AWS(qbit)_第2张图片

  • 官方拷贝代码到 WordCount.java
package mapreducedemo;

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

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;

public class WordCount {

    public static class TokenizerMapper
            extends Mapper{

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

        public void map(Object key, Text value, Context context
        ) throws IOException, InterruptedException {
            StringTokenizer itr = new StringTokenizer(value.toString());
            while (itr.hasMoreTokens()) {
                word.set(itr.nextToken());
                context.write(word, one);
            }
        }
    }

    public static class IntSumReducer
            extends Reducer {
        private IntWritable result = new IntWritable();

        public void reduce(Text key, Iterable values,
                           Context context
        ) throws IOException, InterruptedException {
            int sum = 0;
            for (IntWritable val : values) {
                sum += val.get();
            }
            result.set(sum);
            context.write(key, result);
        }
    }

    public static void main(String[] args) throws Exception {
        Configuration conf = new Configuration();
        Job job = Job.getInstance(conf, "word count");
        job.setJarByClass(WordCount.class);
        job.setMapperClass(TokenizerMapper.class);
        job.setCombinerClass(IntSumReducer.class);
        job.setReducerClass(IntSumReducer.class);
        job.setOutputKeyClass(Text.class);
        job.setOutputValueClass(IntWritable.class);
        FileInputFormat.addInputPath(job, new Path(args[0]));
        FileOutputFormat.setOutputPath(job, new Path(args[1]));
        System.exit(job.waitForCompletion(true) ? 0 : 1);
    }
}
  • 将文本文件 demo.txt 放到 pom.xml 同级目录
  • 添加运行配置

Windows 下运行 Hadoop 并部署到 AWS(qbit)_第3张图片

  • 点击运行,报如下错误
Exception in thread "main" java.lang.UnsatisfiedLinkError: org.apache.hadoop.io.nativeio.NativeIO$Windows.access0(Ljava/lang/String;I)Z
本文出自 qbit snap

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