第2关：统计酒店评论中词频较高的词

package com.processdata;
import java.io.IOException;
import java.util.List;
import java.util.Scanner;
import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.conf.Configured;
import org.apache.hadoop.hbase.HBaseConfiguration;
import org.apache.hadoop.hbase.client.Connection;
import org.apache.hadoop.hbase.client.Put;
import org.apache.hadoop.hbase.client.Result;
import org.apache.hadoop.hbase.client.Scan;
import org.apache.hadoop.hbase.io.ImmutableBytesWritable;
import org.apache.hadoop.hbase.mapreduce.TableMapReduceUtil;
import org.apache.hadoop.hbase.mapreduce.TableMapper;
import org.apache.hadoop.hbase.mapreduce.TableReducer;
import org.apache.hadoop.hbase.util.Bytes;
import org.apache.hadoop.io.IntWritable;
import org.apache.hadoop.io.Text;
import org.apache.hadoop.mapreduce.Job;
import org.apache.hadoop.util.Tool;
import org.apache.hadoop.util.ToolRunner;
import org.apdplat.word.WordSegmenter;
import org.apdplat.word.segmentation.Word;
import com.util.HBaseUtil;
import com.vdurmont.emoji.EmojiParser;

/**
 * 词频统计
 *
 */
public class WorldCountMapReduce extends Configured implements Tool {


    public static class MyMapper extends TableMapper<Text, IntWritable> {
        private static byte[] family = "comment_info".getBytes();
        private static byte[] column = "content".getBytes();

        @Override
        protected void map(ImmutableBytesWritable rowKey, Result result, Context context)
                throws IOException, InterruptedException {
            /********** Begin *********/


            byte[] value = result.getValue(family, column);
            String word = new String(value,"utf-8");
            if(!word.isEmpty()){
                String filter = EmojiParser.removeAllEmojis(word);
                List<Word> segs = WordSegmenter.seg(filter);
                for(Word cont : segs) {
                    Text text = new Text(cont.getText());
                    IntWritable v = new IntWritable(1);
                    context.write(text,v);
                }
            }


            /********** End *********/
        }
    }

    public static class MyReducer extends TableReducer<Text, IntWritable, ImmutableBytesWritable> {
        private static byte[] family =  "word_info".getBytes();
        private static byte[] column = "count".getBytes();

        @Override
        public void reduce(Text key, Iterable<IntWritable> values, Context context) throws IOException, InterruptedException {
            /********** Begin *********/


            int sum = 0;
            for (IntWritable value : values) {
                sum += value.get();
            }
            Put put = new Put(Bytes.toBytes(key.toString()));
            put.addColumn(family,column,Bytes.toBytes(sum));
            context.write(null,put);


            /********** End *********/
        }

    }






    public int run(String[] args) throws Exception {
        //配置Job
        Configuration conf = HBaseConfiguration.create(getConf());
        conf.set("hbase.zookeeper.quorum", "127.0.0.1");  //hbase 服务地址
        conf.set("hbase.zookeeper.property.clientPort", "2181"); //端口号
        Scanner sc = new Scanner(System.in);
        String arg1 = sc.next();
        String arg2 = sc.next();
        try {
            HBaseUtil.createTable("comment_word_count", new String[] {"word_info"});
        } catch (Exception e) {
            // 创建表失败
            e.printStackTrace();
        }
        Job job = configureJob(conf,new String[]{arg1,arg2});
        return job.waitForCompletion(true) ? 0 : 1;
    }

    private Job configureJob(Configuration conf, String[] args) throws IOException {
        String tablename = args[0];
        String targetTable = args[1];
        Job job = new Job(conf,tablename);
        Scan scan = new Scan();
        scan.setCaching(300);
        scan.setCacheBlocks(false);//在mapreduce程序中千万不要设置允许缓存
        //初始化Mapper Reduce程序
        TableMapReduceUtil.initTableMapperJob(tablename,scan,MyMapper.class, Text.class, IntWritable.class,job);
        TableMapReduceUtil.initTableReducerJob(targetTable,MyReducer.class,job);
        job.setNumReduceTasks(1);
        return job;
    }

}