使用Hadoop MapReduce分析邮件日志提取 id、状态 和 目标邮箱

package org.example.mapReduce;

import java.io.IOException;
import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.fs.Path;
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 MailLogAnalysis {

    public static class MailLogMapper extends Mapper<LongWritable, Text, Text, Text> {
        @Override
        protected void map(LongWritable key, Text value, Context context) throws IOException, InterruptedException {
            String line = value.toString();

            if (line.contains("starting delivery")) {
                String[] parts = line.split(" ");
                String id = parts[3].replace(":", "");
                String targetEmail = parts[8];
                context.write(new Text(id), new Text("email," + targetEmail));
            }

            if (line.contains("success") || line.contains("failure") || line.contains("bounce")) {
                String status = "success";
                if (line.contains("failure")) {
                    status = "failure";
                }
                if (line.contains("bounce")) {
                    status = "bounce";
                }
                String[] parts = line.split(" ");
                String id = parts[2].replace(":", "");
                context.write(new Text(id), new Text("status," + status));
            }
        }
    }

    public static class MailLogReducer extends Reducer<Text, Text, Text, Text> {
        @Override
        protected void reduce(Text key, Iterable<Text> values, Context context) throws IOException, InterruptedException {
            String email = "";
            String status = "failure";
            for (Text val : values) {
                String[] parts = val.toString().split(",", 2);
                if (parts[0].equals("email")) {
                    email = parts[1];
                } else if (parts[0].equals("status")) {
                    status = parts[1];
                }
            }
            context.write(key, new Text(status + "," + email));
        }
    }

    public static void main(String[] args) throws Exception {
        Configuration conf = new Configuration();
        Job job = Job.getInstance(conf, "Mail Log Analysis");
        job.setJarByClass(MailLogAnalysis.class);
        job.setMapperClass(MailLogMapper.class);
        job.setReducerClass(MailLogReducer.class);
        job.setOutputKeyClass(Text.class);
        job.setOutputValueClass(Text.class);

        FileInputFormat.addInputPath(job, new Path(args[0]));
        FileOutputFormat.setOutputPath(job, new Path(args[1]));

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

public static class MailLogMapper extends Mapper<LongWritable, Text, Text, Text> {
    @Override
    protected void map(LongWritable key, Text value, Context context) throws IOException, InterruptedException {
        String line = value.toString();

        if (line.contains("starting delivery")) {
            String[] parts = line.split(" ");
            String id = parts[3].replace(":", "");
            String targetEmail = parts[8];
            context.write(new Text(id), new Text("email," + targetEmail));
        }

        if (line.contains("success") || line.contains("failure") || line.contains("bounce")) {
            String status = "success";
            if (line.contains("failure")) {
                status = "failure";
            }
            if (line.contains("bounce")) {
                status = "bounce";
            }
            String[] parts = line.split(" ");
            String id = parts[2].replace(":", "");
            context.write(new Text(id), new Text("status," + status));
        }
    }
}

public static class MailLogReducer extends Reducer<Text, Text, Text, Text> {
    @Override
    protected void reduce(Text key, Iterable<Text> values, Context context) throws IOException, InterruptedException {
        String email = "";
        String status = "failure";
        for (Text val : values) {
            String[] parts = val.toString().split(",", 2);
            if (parts[0].equals("email")) {
                email = parts[1];
            } else if (parts[0].equals("status")) {
                status = parts[1];
            }
        }
        context.write(key, new Text(status + "," + email));
    }
}

public static void main(String[] args) throws Exception {
    Configuration conf = new Configuration();
    Job job = Job.getInstance(conf, "Mail Log Analysis");
    job.setJarByClass(MailLogAnalysis.class);
    job.setMapperClass(MailLogMapper.class);
    job.setReducerClass(MailLogReducer.class);
    job.setOutputKeyClass(Text.class);
    job.setOutputValueClass(Text.class);

    FileInputFormat.addInputPath(job, new Path(args[0]));
    FileOutputFormat.setOutputPath(job, new Path(args[1]));

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