错误:java hadoop中需要< identifier>

3ks5zfa0  于 2021-05-29  发布在  Hadoop
关注(0)|答案(1)|浏览(278)

我正在为word count hadoop编译一个java文件,但编译时会抛出一个错误:
记数簿。java:33:错误:预期的public void reduce(text\u key、iteratorvalues、outputcollectoroutput、reporter)引发ioexception
这是我的密码

public class CountBook
{
    public static class EMapper extends MapReducebase implements
    Mapper<LongWritable,Text,Text,IntWritable>
    {
        private final static Intwritable one = new Intwritable(1);
        public void map(LongWritable key,Text value,OutputCollector<Text,IntWritable>output,Reporter reporter)throws IOException
        {
            String line = value.toString();
            String[] Data = line.split("\";\"");
            output.collect(new text(Data[0]),one);

        }
    }

public static class EReduce extends MapReduceBase implements
Reducer<Text,IntWritable,Text,IntWritable>
{
    public void reduce(Text_key,Iterator<IntWritable>values,OutputCollector<text,intWritable>output,Reporter reporter)throws IOException
    {
        Text key=_key;
        int authid=0;
        while(values.hasNext())
        {
            IntWritable value = (IntWritable)values.next();
            authid+=value.get();
        }
        output.collect(key,new intWritable(authid));
    }
}

public static void main(String args[])throws Exception
{
    JobConf conf = new JbConf(CountBook.class);
    conf.setjobName("CountBookByAuthor");
    conf.setOutputkeyClass(Text.class);
    conf.setOutputValueClass(IntWritable.class);
    conf.setMapperClass(EMapper.class);
    conf.setCombinerClass(EReduce.class);
    conf.setReducerClass(EReducer.class);
    conf.setOutputFormat(TextOutputFormat.class);
    FileInputFormat.setInputPaths(conf,new path(args[0]));
    FileOutputFormat.setOutputPath(conf,new Path(args[1]));
    JobCLient.runJob(conf);
}
}

我使用hadoop-core-1.2.1.jar作为类路径库,并在centos 7中运行

xj3cbfub

xj3cbfub1#

您目前拥有:

reduce(Text_key, 
       Iterator<IntWritable>values,
       OutputCollector<text,intWritable>output, 
       Reporter reporter)

应该是:

reduce(Text key, 
       Iterator<IntWritable> values,
       OutputCollector<Text,IntWritable> output, 
       Reporter reporter)

主要区别在于 key 需要在它和 Text 以及 OutputCollector<> 需要进行资本化。

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