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  • 二次排序 3

    package com.bw.mr;
    
    import java.io.DataInput;
    import java.io.DataOutput;
    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.NullWritable;
    import org.apache.hadoop.io.Text;
    import org.apache.hadoop.io.WritableComparable;
    import org.apache.hadoop.mapreduce.Job;
    import org.apache.hadoop.mapreduce.Mapper;
    import org.apache.hadoop.mapreduce.Partitioner;
    import org.apache.hadoop.mapreduce.Reducer;
    import org.apache.hadoop.mapreduce.lib.input.FileInputFormat;
    import org.apache.hadoop.mapreduce.lib.output.FileOutputFormat;
    
    //match  chinese  数学成绩和  语文成绩
    // 98 56
    // 85 65
    // 72 76
    // 85 98
    // 72 75
    // 89 80
    // 98 99
    // 65 99    shuffle 的key排序  
    //需求  按照学生的考试成绩进行排序   1.按照数学成绩排序 2.数学成绩一致  按照语文成绩排序
    //1. 默认给定了三次排序  integerw   in.......
    public class SecondarySort2 {
        public static class SSMapper extends Mapper<LongWritable, Text, Score2, NullWritable> {
            @Override
            protected void map(LongWritable key, Text value,
                    Mapper<LongWritable, Text, Score2, NullWritable>.Context context)
                    throws IOException, InterruptedException {
                // 切分对象
                String[] strs = value.toString().split(" ");
                context.write(new Score2(Integer.parseInt(strs[0].toString()), Integer.parseInt(strs[1].toString())),
                        NullWritable.get());
            }
        }
    
        public static class SSReducer extends Reducer<Score2, NullWritable, Score2, NullWritable> {
            @Override
            protected void reduce(Score2 arg0, Iterable<NullWritable> arg1,
                    Reducer<Score2, NullWritable, Score2, NullWritable>.Context arg2)
                    throws IOException, InterruptedException {
                arg2.write(arg0, NullWritable.get());
            }
        }
    
        // 定义自定义分区 避免系统将 相同数据未放置在同一分分区中
        public static class MyPartitioner extends Partitioner<Score2, NullWritable> {
            @Override // 将相同的数据放在同一个分区中 match + chinese
            public int getPartition(Score2 arg0, NullWritable arg1, int numpartitions) {
                // 保证了相同数据在同一个分区
                return arg0.getMatch() % numpartitions;// 同一个成绩余数相同
            }
        }
    
        public static void main(String[] args) throws Exception {
            Configuration conf = new Configuration();
            Job job = Job.getInstance(conf);
            job.setPartitionerClass(MyPartitioner.class);
            job.setJarByClass(SecondarySort2.class);
            job.setMapperClass(SSMapper.class);
            job.setMapOutputKeyClass(Score2.class);
            job.setMapOutputValueClass(NullWritable.class);
            job.setReducerClass(SSReducer.class);
            job.setOutputKeyClass(Score2.class);
            job.setMapOutputValueClass(NullWritable.class);
            job.setNumReduceTasks(2);
            FileInputFormat.addInputPath(job, new Path(args[0]));
            FileOutputFormat.setOutputPath(job, new Path(args[1]));
            job.waitForCompletion(true);
        }
    }
    
    class Score2 implements WritableComparable<Score2> {
        // 定义两个成绩
        private int match;
        private int chinese;
        // 构造器 get set
    
        public int getMatch() {
            return match;
        }
    
        @Override
        public String toString() {
            return "Score2 [match=" + match + ", chinese=" + chinese + "]";
        }
    
        public Score2(int match, int chinese) {
            super();
            this.match = match;
            this.chinese = chinese;
        }
    
        public Score2() {
            super();
        }
    
        public void setMatch(int match) {
            this.match = match;
        }
    
        public int getChinese() {
            return chinese;
        }
    
        public void setChinese(int chinese) {
            this.chinese = chinese;
        }
    
        // 利用shuffle排序 对象具备序列化
        @Override
        public void readFields(DataInput in) throws IOException {
            this.match = in.readInt();
            this.chinese = in.readInt();
        }
    
        @Override
        public void write(DataOutput out) throws IOException {
            out.writeInt(this.match);
            out.writeInt(this.chinese);
        }
    
        // 重写 compareTo的方法 定义排序规则
        @Override
        public int compareTo(Score2 o) {
            // 如果数学成绩一致的话 就去比较语文成绩
            if (o.getMatch() == this.getMatch()) {
                return o.getChinese() - this.getChinese();
            } else {
                // 比较数学成绩
                return o.getMatch() - this.getMatch();
            }
        }
    }

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  • 原文地址:https://www.cnblogs.com/JBLi/p/10764763.html
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