Hadoop的MapReduce基本框架

package day02;

import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.fs.Path;
import org.apache.hadoop.io.IntWritable;
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;

import java.io.IOException;

/**
 * @author
 * @create 2019-09-17 16:33
 **/

  //LongWritable (map端的输入) 记录偏移量的

  // Text    读取的数据类型  要处理的数据
    //（注意这两个类型永远不变）

  // Text   （map端的输出）

  // IntWritable

public class WordCount1 {
    //map端
    public static class MapTask extends Mapper<LongWritable,Text,Text,IntWritable>{
        @Override
        protected void map(LongWritable key, Text value, Context context) throws IOException, InterruptedException {
            //key 维护偏移量  value 就是我们的数据
            //context 用来把处理好的数据写出去

            String[] words = value.toString().split(",");

            //把数据写出去  (hadoop,1)
            for (String word : words) {
                context.write(new Text(word),new IntWritable(1));
            }
        }
    }


    //reduce 端  (hadoop,1) (hadoop,35)

    public static class ReduceTask extends Reducer<Text,IntWritable,Text,IntWritable>{
        @Override
        protected void reduce(Text key, Iterable<IntWritable> values, Context context) throws IOException, InterruptedException {
            //key 指的是 单词 hadoop
            //value (1,1,1,1,1,1,1)
            int count = 0;
            for (IntWritable value : values) {
                count++;
            }
            //写出去
            context.write(new Text(key),new IntWritable(count));
        }
    }

    public static void main(String[] args) throws IOException, ClassNotFoundException, InterruptedException {

        System.setProperty("HADOOP_USER_NAME","root");

        //告诉jvm 要运行哪些类  输入
        Configuration conf = new Configuration();
        //设置参数 连接hadoop集群
        conf.set("fs.defaultFS","hdfs://hadoop01:9000");

        Job job = Job.getInstance(conf);

        job.setMapperClass(MapTask.class);
        job.setReducerClass(ReduceTask.class);
        job.setJarByClass(WordCount1.class);

        //job告诉输出参数的类型  输出
        job.setMapOutputKeyClass(Text.class);
        job.setMapOutputValueClass(IntWritable.class);
        job.setOutputKeyClass(Text.class);
        job.setOutputValueClass(IntWritable.class);

        //job 告诉输入跟输出路径
        FileInputFormat.addInputPath(job,new Path("/beida/wc.txt"));
        FileOutputFormat.setOutputPath(job,new Path("/test1"));

        //友情提示一下这里b?是一个三元表达式
        boolean b = job.waitForCompletion(true);
        System.out.println(b?"牛逼成功了":"有问题");
    }
}