二十四、案例：分析日志数据，降序输出TopN

Bertha 。 2021-09-03 03:29 293阅读 0赞

咱们Hadoop篇正文内容就这么多了，接下来的三篇是三个MapReduce的案例，以代码为主，实现过程相对简单。关注专栏[《破茧成蝶——大数据篇》][Link 1]查看相关系列的文章~

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**目录**

一、需求分析

二、代码实现

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# 一、需求分析 #

现有如下四列的日志数据：

![20201207150318878.png][]

分别代表手机号码、上行流量、下行流量、总流量。现在需要对此数据进行加工，输出流量使用量前5的用户信息。

# 二、代码实现 #

2.1 首先定义一个Bean类，值得注意的是这里面有一个compareTo的比较方法，实现降序排序。

package com.xzw.hadoop.mapreduce.topn;
    
    import org.apache.hadoop.io.WritableComparable;
    
    import java.io.DataInput;
    import java.io.DataOutput;
    import java.io.IOException;
    
    /**
     * @author: xzw
     * @create_date: 2020/12/7 10:40
     * @desc:
     * @modifier:
     * @modified_date:
     * @desc:
     */
    public class TopNBean implements WritableComparable<TopNBean> {
        private long upFlow;
        private long downFlow;
        private long sumFlow;
    
        public TopNBean() {
        }
    
        public TopNBean(long upFlow, long downFlow) {
            super();
            this.upFlow = upFlow;
            this.downFlow = downFlow;
        }
    
        public long getUpFlow() {
            return upFlow;
        }
    
        public void setUpFlow(long upFlow) {
            this.upFlow = upFlow;
        }
    
        public long getDownFlow() {
            return downFlow;
        }
    
        public void setDownFlow(long downFlow) {
            this.downFlow = downFlow;
        }
    
        public long getSumFlow() {
            return sumFlow;
        }
    
        public void setSumFlow(long sumFlow) {
            this.sumFlow = sumFlow;
        }
    
        @Override
        public String toString() {
            return upFlow + "\t" + downFlow + "\t" + sumFlow;
        }
    
        @Override
        public int compareTo(TopNBean o) {//比较方法，降序排序
            return Long.compare(o.sumFlow, this.sumFlow);
        }
    
        public void set(long upFlow, long downFlow) {
            this.downFlow = downFlow;
            this.upFlow = upFlow;
            this.sumFlow = downFlow + upFlow;
        }
    
    
        @Override
        public void write(DataOutput dataOutput) throws IOException {
            dataOutput.writeLong(upFlow);
            dataOutput.writeLong(downFlow);
            dataOutput.writeLong(sumFlow);
        }
    
        @Override
        public void readFields(DataInput dataInput) throws IOException {
            upFlow = dataInput.readLong();
            downFlow = dataInput.readLong();
            sumFlow = dataInput.readLong();
        }
    }

2.2 定义Mapper类

package com.xzw.hadoop.mapreduce.topn;
    
    import org.apache.hadoop.io.LongWritable;
    import org.apache.hadoop.io.Text;
    import org.apache.hadoop.mapreduce.Mapper;
    
    import java.io.IOException;
    
    /**
     * @author: xzw
     * @create_date: 2020/12/7 10:57
     * @desc:
     * @modifier:
     * @modified_date:
     * @desc:
     */
    public class TopNMapper extends Mapper<LongWritable, Text, TopNBean, Text> {
        private TopNBean k = new TopNBean();
        private Text v = new Text();
    
        @Override
        protected void map(LongWritable key, Text value, Context context) throws IOException, InterruptedException {
            String[] fields = value.toString().split("\t");
    
            v.set(fields[0]);
            k.set(Long.parseLong(fields[1]), Long.parseLong(fields[2]));
    
            context.write(k, v);
        }
    }

2.3 定义让所有数据分到同一组的比较器

package com.xzw.hadoop.mapreduce.topn;
    
    import org.apache.hadoop.io.WritableComparable;
    import org.apache.hadoop.io.WritableComparator;
    
    /**
     * @author: xzw
     * @create_date: 2020/12/7 11:16
     * @desc: 让所有数据分到同一组的比较器
     * @modifier:
     * @modified_date:
     * @desc:
     */
    public class TopNComparator extends WritableComparator {
        protected TopNComparator() {
            super(TopNBean.class, true);
        }
    
        @Override
        public int compare(WritableComparable a, WritableComparable b) {
            return 0;
        }
    }

2.4 定义Reducer类

package com.xzw.hadoop.mapreduce.topn;
    
    import org.apache.hadoop.io.Text;
    import org.apache.hadoop.mapreduce.Reducer;
    
    import java.io.IOException;
    import java.util.Iterator;
    
    /**
     * @author: xzw
     * @create_date: 2020/12/7 11:04
     * @desc:
     * @modifier:
     * @modified_date:
     * @desc:
     */
    public class TopNReducer extends Reducer<TopNBean, Text, Text, TopNBean> {
        @Override
        protected void reduce(TopNBean key, Iterable<Text> values, Context context) throws IOException,
                InterruptedException {
            Iterator<Text> iterator = values.iterator();
            for (int i = 0; i < 5; i++) {
                if (iterator.hasNext()) {
                    context.write(iterator.next(), key);
                }
            }
        }
    }

2.5 定义Driver类

package com.xzw.hadoop.mapreduce.topn;
    
    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.lib.input.FileInputFormat;
    import org.apache.hadoop.mapreduce.lib.output.FileOutputFormat;
    
    import java.io.IOException;
    
    /**
     * @author: xzw
     * @create_date: 2020/12/7 11:21
     * @desc:
     * @modifier:
     * @modified_date:
     * @desc:
     */
    public class TopNDriver {
        public static void main(String[] args) throws IOException, ClassNotFoundException, InterruptedException {
            args = new String[]{"e:/input/topn.txt", "e:/output1"};
    
            Job job = Job.getInstance(new Configuration());
    
            job.setJarByClass(TopNDriver.class);
            job.setMapperClass(TopNMapper.class);
            job.setReducerClass(TopNReducer.class);
    
            job.setMapOutputKeyClass(TopNBean.class);
            job.setMapOutputValueClass(Text.class);
            job.setOutputKeyClass(Text.class);
            job.setGroupingComparatorClass(TopNComparator.class);
            job.setOutputValueClass(TopNBean.class);
    
            FileInputFormat.setInputPaths(job, new Path(args[0]));
            FileOutputFormat.setOutputPath(job, new Path(args[1]));
    
            boolean b = job.waitForCompletion(true);
            System.exit(b ? 0 : 1);
        }
    }

2.6 测试结果

![20201207153943701.png][]

[Link 1]: https://blog.csdn.net/gdkyxy2013/category_10006538.html
[20201207150318878.png]: /images/20210726/d7bc5d18a9474597817470c315b40a1a.png
[20201207153943701.png]: /images/20210726/393647d651954ae8931557c50137bf4d.png