2531720775 发表于 2024-5-10 11:11:25

hadoop大数据

本帖最后由 2531720775 于 2024-5-10 11:12 编辑

hadoop大数据wordcount实例编写driver类遇到以下问题

2024-05-10 10:55:42,480 WARN - Failed to delete file or dir : it still exists.
Exception in thread "main" com.ctc.wstx.exc.WstxParsingException: Illegal character entity: expansion character (code 0xdfb2
at :
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
然后我在job.xml改了非法字符后再次运行,他又出现新的job.xml的路径文件并且还是出现非法字符错误
请问这样的错误怎么改呢

FishC 发表于 2024-5-10 11:11:44

在编写Hadoop大数据WordCount的Driver类时,可能会遇到以下问题:

1. 如何设置输入和输出路径?

job.setInputFormatClass(TextInputFormat.class);
TextInputFormat.setInputPaths(job, new Path(args));

job.setOutputFormatClass(TextOutputFormat.class);
TextOutputFormat.setOutputPath(job, new Path(args));

这里使用`TextInputFormat`和`TextOutputFormat`作为输入和输出的格式类,并使用`setInputPaths()`和`setOutputPath()`方法分别设置输入和输出路径。

2. 如何设置Mapper和Reducer类?

job.setMapperClass(WordCountMapper.class);
job.setReducerClass(WordCountReducer.class);

使用`setMapperClass()`和`setReducerClass()`方法分别设置Mapper和Reducer类。

3. 如何设置Mapper和Reducer输出的键值类型?

job.setOutputKeyClass(Text.class);
job.setOutputValueClass(IntWritable.class);

使用`setOutputKeyClass()`和`setOutputValueClass()`方法分别设置Mapper和Reducer输出的键值类型。

4. 如何设置Reducer的输出键值对数量?

job.setNumReduceTasks(1);

使用`setNumReduceTasks()`方法设置Reducer的输出键值对数量。

5. 如何等待Job完成并打印统计结果?

if (job.waitForCompletion(true)) {
// 打印统计结果
Counters counters = job.getCounters();
Counter counter = counters.findCounter(WordCountReducer.WordCountEnum.COUNT);
System.out.println("单词总数:" + counter.getValue());
} else {
System.exit(1);
}

使用`waitForCompletion(true)`方法等待Job完成,然后使用`getCounters()`方法获取计数器,再使用`findCounter()`方法获取特定计数器,最后使用`getValue()`方法获取计数器的值,并打印统计结果。

希望以上解答能够对你有所帮助!

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