windows环境eclipse操作hadoop常见错误：Permission denied: user=haibozhang, access=WRITE, inode='...'

最新推荐文章于 2023-04-09 10:52:56 发布

奔跑的蜗牛2016

最新推荐文章于 2023-04-09 10:52:56 发布

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分类专栏： hadoop 文章标签： hadoop eclipse windows

本文链接：https://blog.youkuaiyun.com/haibo2016/article/details/78240558

在Windows环境下，使用Eclipse运行Hadoop MapReduce的WordCount程序时，遇到了'Permission denied'的问题。错误表明用户haibozhang没有写入权限。解决方法包括设置HADOOP_USER_NAME环境变量、修改hadoop的hdfs-site.xml配置关闭权限检查、将Windows账号名与Hadoop Linux用户名保持一致，或者通过HDFS命令修改目录权限。四种方法已经验证可行。

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在eclipse中配置好hadoop插件后，编写wordCount程序如下

package hadoop01;

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.LongWritable;
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 WordCountMapReduce {

// step 1: Mapper
public static class WordCountMapper extends
Mapper<LongWritable, Text, Text, IntWritable> {
private Text mapOutputKey = new Text();
private IntWritable mapOutputValue = new IntWritable(1);

@Override
public void map(LongWritable key, Text value, Context context)
throws IOException, InterruptedException {

// line value
String lineValue = value.toString();

// spilt
// String[] strs = lineValue.split(" ");
StringTokenizer stringTokenizer = new StringTokenizer(lineValue);
while (stringTokenizer.hasMoreTokens()) {
// set map output key
mapOutputKey.set(stringTokenizer.nextToken());

// output
context.write(mapOutputKey, mapOutputValue);
}

/**
* // iterator for (String str : strs) {
*
* mapOutputKey.set(str);
*
* context.write(mapOutputKey, mapOutputValue);
*
* }
*/
}

}

// step 2: Reducer
public static class