五十三、Mapreduce之自定义outputformat案例-阿里云开发者社区

五十三、Mapreduce之自定义outputformat案例

2022-05-28 106

版权

本文内容由阿里云实名注册用户自发贡献，版权归原作者所有，阿里云开发者社区不拥有其著作权，亦不承担相应法律责任。具体规则请查看《阿里云开发者社区用户服务协议》和《阿里云开发者社区知识产权保护指引》。如果您发现本社区中有涉嫌抄袭的内容，填写侵权投诉表单进行举报，一经查实，本社区将立刻删除涉嫌侵权内容。

简介： 五十三、Mapreduce之自定义outputformat案例

案例需求：

过滤输出的log日志，包含tuomasi的网址输出到 tuomasi.log文件，不包含 tuomasi 的网址输出到 other.log文件

输入数据：

期望输出数据：

注：通过观察可以看到存在 tuomasi 字符的网址已经被存放在 tuomasi.log 文件中，其余网址则被存放在 other.log 文件中

程序编写：

程序主体架构：

（1）LogMapper编写

package org.example.mapreduce.outputformat;
import org.apache.hadoop.io.LongWritable;
import org.apache.hadoop.io.NullWritable;
import org.apache.hadoop.io.Text;
import org.apache.hadoop.mapreduce.Mapper;
import java.io.IOException;
public class LogMapper extends Mapper<LongWritable, Text, Text, NullWritable> {
    @Override
    protected void map(LongWritable key, Text value, Context context) throws IOException, InterruptedException {
        context.write(value, NullWritable.get());
    }
}

（2）LogReducer编写

package org.example.mapreduce.outputformat;
import org.apache.hadoop.io.NullWritable;
import org.apache.hadoop.io.Text;
import org.apache.hadoop.mapreduce.Reducer;
import java.io.IOException;
public class LogReducer extends Reducer<Text, NullWritable, Text, NullWritable> {
    @Override
    protected void reduce(Text key, Iterable<NullWritable> values, Context context) throws IOException, InterruptedException {
        //为防止输入相同网址输出一条数据，进行循环迭代
        for (NullWritable value : values) {
            context.write(key, NullWritable.get());
        }
    }
}

（3）LogOutputFormat编写

package org.example.mapreduce.outputformat;
import org.apache.hadoop.io.NullWritable;
import org.apache.hadoop.io.Text;
import org.apache.hadoop.mapreduce.RecordWriter;
import org.apache.hadoop.mapreduce.TaskAttemptContext;
import org.apache.hadoop.mapreduce.lib.output.FileOutputFormat;
import java.io.IOException;
public class LogOutputFormat extends FileOutputFormat<Text, NullWritable> {
    @Override
    public RecordWriter<Text, NullWritable> getRecordWriter(TaskAttemptContext job) throws IOException, InterruptedException {
        LogRecordWriter lrw = new LogRecordWriter(job);
        return lrw;
    }
}

（4）LogRecordWriter编写

package org.example.mapreduce.outputformat;
import org.apache.hadoop.fs.FSDataOutputStream;
import org.apache.hadoop.fs.FileSystem;
import org.apache.hadoop.fs.Path;
import org.apache.hadoop.io.IOUtils;
import org.apache.hadoop.io.NullWritable;
import org.apache.hadoop.io.Text;
import org.apache.hadoop.mapreduce.RecordWriter;
import org.apache.hadoop.mapreduce.TaskAttemptContext;
import java.io.IOException;
public class LogRecordWriter extends RecordWriter<Text, NullWritable> {
    private FSDataOutputStream tuomasiOut;
    private FSDataOutputStream otherOut;
    public LogRecordWriter(TaskAttemptContext job) {
        //创建流
        try {
            FileSystem fs = FileSystem.get(job.getConfiguration());
            tuomasiOut = fs.create(new Path("E:\\output\\outputformats\\tuomasi.log"));
            otherOut = fs.create(new Path("E:\\output\\outputformats\\other.log"));
        } catch (IOException e) {
            e.printStackTrace();
        }
    }
    @Override
    public void write(Text key, NullWritable value) throws IOException, InterruptedException {
        String log = key.toString();
        //具体流程
        if (log.contains("tuomasi")) {
            tuomasiOut.writeBytes(log+"\n");
        } else {
            otherOut.writeBytes(log+"\n");
        }
    }
    @Override
    public void close(TaskAttemptContext context) throws IOException, InterruptedException {
        //关闭流
        IOUtils.closeStream(tuomasiOut);
        IOUtils.closeStream(otherOut);
    }
}

（5）LogDriver编写

package org.example.mapreduce.outputformat;
import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.fs.Path;
import org.apache.hadoop.io.NullWritable;
import org.apache.hadoop.io.Text;
import org.apache.hadoop.mapreduce.Job;
import org.apache.hadoop.mapreduce.lib.input.FileInputFormat;
import org.apache.hadoop.mapreduce.lib.output.FileOutputFormat;
import java.io.IOException;
public class LogDriver {
    public static void main(String[] args) throws IOException, ClassNotFoundException, InterruptedException {
        //获取job
        Configuration conf = new Configuration();
        Job job = Job.getInstance(conf);
        //设置jar包路径
        job.setJarByClass(LogDriver.class);
        //关联mapper和reducer
        job.setMapperClass(LogMapper.class);
        job.setReducerClass(LogReducer.class);
        //设置mapper输出的k,v类型
        job.setMapOutputKeyClass(Text.class);
        job.setMapOutputValueClass(NullWritable.class);
        //设置最终输出的K,V类型
        job.setOutputKeyClass(Text.class);
        job.setOutputValueClass(NullWritable.class);
        //设置自定义的outputformat
        job.setOutputFormatClass(LogOutputFormat.class);
        //设置输入路径和输出路径
        FileInputFormat.setInputPaths(job, new Path("E:\\input\\inputoutputformat"));
        FileOutputFormat.setOutputPath(job, new Path("E:\\output\\outputformats\\outputformat"));
        //提交job作业
        boolean result = job.waitForCompletion(true);
        System.exit(result ? 0 : 1);
    }
}