求解代码运行问题，代码没有报错但运行不了（大一Hadoop实训：利用MapReduce消除文章敏感词汇）

问题遇到的现象和发生背景

问题相关代码，请勿粘贴截图 package ShiXun;

static class MyMapper extends Mapper<LongWritable, Text, Text, Text>{

    
    static List<String> li = new ArrayList<String>();
    @Override
    protected void setup(Context context)throws IOException, InterruptedException {
        //获取缓存文件路径的数组
        Path [] paths = DistributedCache.getLocalCacheFiles(context.getConfiguration());
        //循环读取每一个缓存文件
        for (Path p : paths) {
            //获取文件名字
            String fileName = p.getName();
            if(fileName.equals("dir")){
                BufferedReader sb = null;
                sb = new BufferedReader(new FileReader(new File(p.toString())));
                //读取BufferedReader里面的数据
                String tmp = null;
                while ( (tmp = sb.readLine()) != null) {
                    String ss []= tmp.split(" ");
                    for (String s : ss) {
                        li.add(s);
                    }
                }
                //关闭sb对象
                sb.close();
            } 
        }
    }

    @Override
    protected void map(LongWritable key, Text value,Context context)
            throws IOException, InterruptedException {
        String line = value.toString();
        StringTokenizer lines = new StringTokenizer(line);
        while (lines.hasMoreTokens()) {
            //判断每一个单词是否是敏感词汇
            String word = lines.nextToken();
            if(!li.contains(word)){
                context.write(new Text(word), new Text("1"));
            }
        }
    }

    @Override
    protected void cleanup(Context context)throws IOException, InterruptedException {
    }
    
}


static class MyReducer extends Reducer<Text, Text, Text, Text>{

    @Override
    protected void setup(Context context)throws IOException, InterruptedException {
    }
    
    @Override
    protected void reduce(Text key, Iterable<Text> value,Context context)
            throws IOException, InterruptedException {
        int counter = 0;
        for (Text t : value) {
            counter += Integer.parseInt(t.toString());
        }
        context.write(key, new Text(counter+""));
    }
    
    @Override
    protected void cleanup(Context context)throws IOException, InterruptedException {
    }
}


@Override
public void setConf(Configuration conf) {
    conf.set("fs.defaultFS", "hdfs://192.168.68.131:9000");
}

@Override
public Configuration getConf() {
    return new Configuration();
}

/**
 * 驱动方法
 */
@Override
public int run(String[] args) throws Exception {
    //1、获取conf对象
    Configuration conf = getConf();
    //2、创建job
    Job job = Job.getInstance(conf, "Xiaochu02");
    //3、设置运行job的class
    job.setJarByClass(Xiaochu02.class);
    //4、设置map相关属性
    job.setMapperClass(MyMapper.class);
    job.setMapOutputKeyClass(Text.class);
    job.setMapOutputValueClass(Text.class);
    FileInputFormat.addInputPath(job, new Path(args[0]));
    
    //设置分布式缓存文件
    job.addCacheFile(new URI("hdfs://192.168.68.131:9000/1603data/dir"));
    
    //5、设置reduce相关属性
    job.setReducerClass(MyReducer.class);
    job.setOutputKeyClass(Text.class);
    job.setOutputValueClass(Text.class);
    //判断输出目录是否存在，若存在则删除
    FileSystem fs = FileSystem.get(conf);
    if(fs.exists(new Path(args[1]))){
        fs.delete(new Path(args[1]), true);
    }
    FileOutputFormat.setOutputPath(job, new Path(args[1]));
    
    //6、提交运行job
    int isok = job.waitForCompletion(true) ? 0 : 1;
    return isok;
}


public static void main(String[] args) {
    try {
        //对输入参数作解析
        String [] argss = new GenericOptionsParser(new Configuration(), args).getRemainingArgs();
        System.exit(ToolRunner.run(new Xiaochu02(), argss));
    } catch (Exception e) {
        e.printStackTrace();
    }
}

}

运行结果及报错内容

![img](https://img-mid.csdnimg.cn/release/static/image/mid/ask/253829770046169.png "#lef

我想要达到的结果

可以运行就可以了。