无法识别我的代码中的bug

aor9mmx1  于 2021-06-02  发布在  Hadoop
关注(0)|答案(1)|浏览(363)

我有两个数据集:
用户:

Bobby 06 Amsterdam
Sunny 07 Rotterdam
Steven 08 Liverpool
Jamie 23 Liverpool
Macca 91 Liverpool
Messi 10 Barcelona
Pique 04 Barcelona
Suarez 09 Barcelona
Neymar 11 brazil
Klopp 12 Liverpool

用户日志:

Sunny NewPlayer 12.23.14.421
Klopp Crazy 88.33.44.555
Bobby NewPlayer 99.12.11.222
Steven Captain 99.55.66.777
Jamie Local 88.99.33.232
Suarez Spain 77.55.66.444

我想使用reducer join连接这两个数据集。我是这样写的:
Map类:

Public class MapperClass {
    public static class UserMap extends Mapper<LongWritable, Text, Text, Text> {
        @Override
        protected void map(LongWritable key, Text value, Context context) throws IOException, InterruptedException {
            String line     = value.toString();
            String[] tokens = line.split(" ");
            String name     = tokens[0];
            String city     = tokens[2];
            context.write(new Text(name), new Text("UserFile" + "\t" + city));
        }
    }

    public static class UserLogs extends Mapper<LongWritable, Text, Text, Text> {
        @Override
        protected void map(LongWritable key, Text value, Context context) throws IOException, InterruptedException {
            String line     = value.toString();
            String[] tokens = line.split(" ");
            String name     = tokens[0];
            String ip       = tokens[2];
            context.write(new Text(name), new Text("UserLogs" + "\t" + ip));
        }
    }
}

减速器等级:

public class ReducerClass extends Reducer<Text, Text, Text, Text>{
    @Override
    public void reduce(Text key, Iterable<Text> values, Context context) throws IOException, InterruptedException {
        String city = null;
        String ip   = null;
        for(Text t: values) {
            String[] parts = t.toString().split("\t");
            if(parts[0].equals("UserFile")) {
                city = parts[1];
            }
            if(parts[0].equals("UserLogs")) {
                ip = parts[1];
            } else {
                ip = "IP Address not found";
            }
        }
        context.write(key, new Text(city + "\t" + ip));
    }
}

驱动器类:

public class MainClass {
    public static void main(String[] args)throws IOException, InterruptedException, ClassNotFoundException {
        Job job = new Job();
        job.setJarByClass(MainClass.class);
        job.setOutputKeyClass(Text.class);
        job.setReducerClass(ReducerClass.class);
        job.setOutputValueClass(Text.class);
        job.setInputFormatClass(TextInputFormat.class);
        job.setOutputFormatClass(TextOutputFormat.class);
        MultipleInputs.addInputPath(job, new Path(args[0]), TextInputFormat.class, UserMap.class);
        MultipleInputs.addInputPath(job, new Path(args[1]), TextInputFormat.class, UserLogs.class);
        FileOutputFormat.setOutputPath(job, new Path(args[2]));

        System.exit(job.waitForCompletion(true)?0:1);
    }
}

输出应如下所示:

Bobby   Amsterdam 99.12.11.222
Sunny   Rotterdam  12.23.14.421
Klopp    Liverpool  88.33.44.555
Steven  Liverpool   99.55.66.777
Jamie    Liverpool    88.99.33.232
Suarez  Barcelona   77.55.66.444

相反,我得到如下输出:

Bobby   Amsterdam       IP Address not found
Jamie   Liverpool       88.99.33.232
Klopp   Liverpool       IP Address not found
Macca   Liverpool       IP Address not found
Messi   Barcelona       IP Address not found
Neymar  brazil IP Address not found
Pique   Barcelona       IP Address not found
Steven  Liverpool       99.55.66.777
Suarez  Barcelona       IP Address not found
Sunny   Rotterdam       12.23.14.421

我不明白我在这里犯了什么错误。有人能帮我解决这个问题吗。我们非常感谢您的帮助。

k2arahey

k2arahey1#

您的减速机中有一个错误,它正在重写ip地址,具体取决于 values 命令。试试这个:

public class ReducerClass extends Reducer<Text, Text, Text, Text>{
    @Override
    public void reduce(Text key, Iterable<Text> values, Context context) throws IOException, InterruptedException {
        String city = null;
        String ip   = null;
        for(Text t: values) {
            String[] parts = t.toString().split("\t");
            if(parts[0].equals("UserFile")) {
                city = parts[1];
            } else if(parts[0].equals("UserLogs")) {
                ip = parts[1];
            }
        }
        if (ip != null && city != null) {
            context.write(key, new Text(city + "\t" + ip));
        }
    }
}

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