五 数据组织模式 2） 分区模式 代码

简单4个分区。

package com.rocky.mr.partition;

import com.alibaba.fastjson.JSON;
import com.alibaba.fastjson.JSONObject;
import com.rocky.util.TimeUtils;
import org.apache.hadoop.conf.Configurable;
import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.fs.FileSystem;
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 org.apache.hadoop.mapreduce.lib.partition.HashPartitioner;

import java.io.IOException;
import java.net.URI;
import java.net.URISyntaxException;

/**
 * Created by Administrator on 2016/4/11.
 */
public class MyPartition {

    public static final String clazz = "com.spring.aop.StorageManagerStatAspect";
    public static final String m_download = "com.systoon.scloud.master.controller.ImageController.download";
    public static final String m_upload   = "com.systoon.scloud.master.controller.DirectUploadFile.directUploadFile";

    /** patrition param */
    public static Text word = new Text();
    public static Text partitionDownload = new Text("download"); //  download    0
    public static Text partitionUpload = new Text("upload"); //    upload      1
    public static Text partitionOther = new Text("others"); //     others      2
    public static Text partitionCount = new Text("count"); //     count       3

    public static class PMapper extends Mapper<LongWritable, Text, Text, Text>{

        @Override
        protected void map(LongWritable key, Text value, Context context) throws IOException, InterruptedException {

            String line = value.toString();
            word.set("1");
            context.write(partitionCount, new Text("1"));
            if(line.contains(clazz)){
                if(line.contains(m_download)){
                    String tempObject = line.split(clazz)[1];
                    String tmp = tempObject.substring(1,tempObject.length());
                    JSONObject jsonObject = JSON.parseObject(tmp);
                    String method = jsonObject.get("method").toString();
                    if( method.equals(m_download) ){
                        context.write(partitionDownload, word);
                    }
                } else if(line.contains(m_upload)) {
                    String tempObject = line.split(clazz)[1];
                    String tmp = tempObject.substring(1,tempObject.length());
                    JSONObject jsonObject = JSON.parseObject(tmp);
                    String method = jsonObject.get("method").toString();
                    if( method.equals(m_upload) ){
                        context.write(partitionUpload, word);
                    }
                } else {
                    context.write(partitionOther, word);
                }
            } else {
                context.write(partitionOther , word);
            }
        }
    }

    public static class PReduce extends Reducer<Text,Text,Text,Text>{

        @Override
        protected void reduce(Text key, Iterable<Text> values, Context context) throws IOException, InterruptedException {
//            long count = 0l;
//            if(key.toString().equals(partitionCount.toString())){
//                for (Text test:values){
//                    count ++;
//                }
//                word.set(count+"");
//                context.write(key,word);
//            } else {
//                for (Text test:values){
//                    context.write(key,test);
//                }
//                word.set(count+"");
//                context.write(key,word);
//            }
            long count = 0l;
            for (Text text:values){
                count ++;
            }
            word.set(count + "");
            context.write(key,word);


        }
    }

    public static class CustomizationPartition extends HashPartitioner<Text,Text> implements Configurable {

        private Configuration conf = null;

        public CustomizationPartition(){
        }

        @Override
        public Configuration getConf() {
            return conf;
        }

        @Override
        public void setConf(Configuration conf) {
            this.conf = conf;
        }

        public int getPartition(Text key, Text value, int numReduceTasks){

            if(key.toString().equals("download")){
                return 0;
            } else if(key.toString().equals("upload")){
                return 1;
            } else if(key.toString().equals("count")){
                return 2;
            } else {
//                key.toString().equals("others")
                return 3;
            }
        }
    }

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

        Configuration conf = new Configuration();
        String outPath = "/test/mapReduce/partition"+ TimeUtils.getStringDate();
        // check
        final FileSystem filesystem = FileSystem.get(new URI(outPath), conf);
        if(filesystem.exists(new Path(outPath))){
            filesystem.delete(new Path(outPath), true);
        }
        Job job = new Job( conf,"rocky_partition");
        job.setJarByClass(MyPartition.class);

        job.setPartitionerClass(CustomizationPartition.class);
        job.setNumReduceTasks(4);

        job.setMapperClass(PMapper.class);
        job.setReducerClass(PReduce.class);

        job.setOutputKeyClass(Text.class);
        job.setOutputValueClass(Text.class);

        FileInputFormat.addInputPath(job, new Path("/test/mapReduce/source/statistics.log.2016-03-01"));
//        FileInputFormat.addInputPath(job, new Path("/test/mapReduce/source/statistics.log.2016-03-02"));

        FileOutputFormat.setOutputPath(job, new Path(outPath));
        System.exit(job.waitForCompletion(true)?0:1);// 是否正常退出
    }
}

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