【Hadoop】Hadoop MR 自定义分组 Partition机制

1、概念

2、Hadoop默认分组机制--所有的Key分到一个组,一个Reduce任务处理

3、代码示例

FlowBean

package com.ares.hadoop.mr.flowgroup;

import java.io.DataInput;
import java.io.DataOutput;
import java.io.IOException;

import org.apache.hadoop.io.WritableComparable;

public class FlowBean implements WritableComparable<FlowBean>{
    private String phoneNum;
    private long upFlow;
    private long downFlow;
    private long sumFlow;
    
    public FlowBean() {
        // TODO Auto-generated constructor stub
    }    
//    public FlowBean(String phoneNum, long upFlow, long downFlow, long sumFlow) {
//        super();
//        this.phoneNum = phoneNum;
//        this.upFlow = upFlow;
//        this.downFlow = downFlow;
//        this.sumFlow = sumFlow;
//    }


    public String getPhoneNum() {
        return phoneNum;
    }

    public void setPhoneNum(String phoneNum) {
        this.phoneNum = phoneNum;
    }

    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 void readFields(DataInput in) throws IOException {
        // TODO Auto-generated method stub
        phoneNum = in.readUTF();
        upFlow = in.readLong();
        downFlow = in.readLong();
        sumFlow = in.readLong();
    }

    @Override
    public void write(DataOutput out) throws IOException {
        // TODO Auto-generated method stub
        out.writeUTF(phoneNum);
        out.writeLong(upFlow);
        out.writeLong(downFlow);
        out.writeLong(sumFlow);
    }

    @Override
    public String toString() {
        return "" + phoneNum + "	" + upFlow + "	" + downFlow + "	" + sumFlow;
    }

    @Override
    public int compareTo(FlowBean o) {
        // TODO Auto-generated method stub
        return sumFlow>o.getSumFlow()?-1:1;
    }
    
}

FlowGroup

package com.ares.hadoop.mr.flowgroup;

import java.io.IOException;

import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.conf.Configured;
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.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.util.StringUtils;
import org.apache.hadoop.util.Tool;
import org.apache.hadoop.util.ToolRunner;
import org.apache.log4j.Logger;

import com.ares.hadoop.mr.exception.LineException;
import com.ares.hadoop.mr.flowgroup.FlowBean;;

public class FlowGroup extends Configured implements Tool {
    private static final Logger LOGGER = Logger.getLogger(FlowGroup.class);
    enum Counter {
        LINESKIP
    }
    
    public static class FlowGroupMapper extends Mapper<LongWritable, Text, 
        Text, FlowBean> {
        private String line;
        private int length;
        private final static char separator = '	';
        
        private String phoneNum;
        private long upFlow;
        private long downFlow;
        //private long sumFlow;
        
        private Text text = new Text();
        private FlowBean flowBean = new FlowBean();
        
        @Override
        protected void map(
                LongWritable key,
                Text value,
                Mapper<LongWritable, Text, Text, FlowBean>.Context context)
                throws IOException, InterruptedException {
            // TODO Auto-generated method stub
            //super.map(key, value, context);
            String errMsg;
            try {
                line = value.toString();
                String[] fields = StringUtils.split(line, separator);
                length = fields.length;
                if (length != 11) {
                    throw new LineException(key.get() + ", " + line + " LENGTH INVALID, IGNORE...");
                }
                
                phoneNum = fields[1];
                upFlow = Long.parseLong(fields[length-3]);
                downFlow = Long.parseLong(fields[length-2]);
                //sumFlow = upFlow + downFlow;
                
                text.set(phoneNum);
                flowBean.setPhoneNum(phoneNum);
                flowBean.setUpFlow(upFlow);
                flowBean.setDownFlow(downFlow);
                //flowBean.setSumFlow(sumFlow);
                
                context.write(text, flowBean);
            } catch (LineException e) {
                // TODO: handle exception
                LOGGER.error(e);
                System.out.println(e);
                context.getCounter(Counter.LINESKIP).increment(1);
                return;
            } catch (NumberFormatException e) {
                // TODO: handle exception
                errMsg = key.get() + ", " + line + " FLOW DATA INVALID, IGNORE...";
                LOGGER.error(errMsg);
                System.out.println(errMsg);
                context.getCounter(Counter.LINESKIP).increment(1);
                return;
            } catch (Exception e) {
                // TODO: handle exception
                LOGGER.error(e);
                System.out.println(e);
                context.getCounter(Counter.LINESKIP).increment(1);
                return;
            }            
        }
    }
    
    public static class FlowGroupReducer extends Reducer<Text, FlowBean, 
        FlowBean, NullWritable> {
        
        private FlowBean flowBean = new FlowBean();
        
        @Override
        protected void reduce(
                Text key,
                Iterable<FlowBean> values,
                Reducer<Text, FlowBean, FlowBean, NullWritable>.Context context)
                throws IOException, InterruptedException {
            // TODO Auto-generated method stub
            //super.reduce(arg0, arg1, arg2);
            long upFlowCounter = 0;
            long downFlowCounter = 0;
            
            for (FlowBean flowBean : values) {
                upFlowCounter += flowBean.getUpFlow();
                downFlowCounter += flowBean.getDownFlow();
            }
            flowBean.setPhoneNum(key.toString());
            flowBean.setUpFlow(upFlowCounter);
            flowBean.setDownFlow(downFlowCounter);
            flowBean.setSumFlow(upFlowCounter + downFlowCounter);
            
            context.write(flowBean, NullWritable.get());
        }
    }

    @Override
    public int run(String[] args) throws Exception {
        // TODO Auto-generated method stub
        String errMsg = "FlowGroup: TEST STARTED...";
        LOGGER.debug(errMsg);
        System.out.println(errMsg);
        
        Configuration conf = new Configuration();
        //FOR Eclipse JVM Debug  
        //conf.set("mapreduce.job.jar", "flowsum.jar");
        Job job = Job.getInstance(conf);
        
        // JOB NAME
        job.setJobName("FlowGroup");
        
        // JOB MAPPER & REDUCER
        job.setJarByClass(FlowGroup.class);
        job.setMapperClass(FlowGroupMapper.class);
        job.setReducerClass(FlowGroupReducer.class);
        
        // JOB PARTITION
        job.setPartitionerClass(FlowGroupPartition.class);
        
        // JOB REDUCE TASK NUMBER
        job.setNumReduceTasks(5);
        
        // MAP & REDUCE
        job.setOutputKeyClass(FlowBean.class);
        job.setOutputValueClass(NullWritable.class);
        // MAP
        job.setMapOutputKeyClass(Text.class);
        job.setMapOutputValueClass(FlowBean.class);
        
        // JOB INPUT & OUTPUT PATH
        //FileInputFormat.addInputPath(job, new Path(args[0]));
        FileInputFormat.setInputPaths(job, args[1]);
        FileOutputFormat.setOutputPath(job, new Path(args[2]));
        
        // VERBOSE OUTPUT
        if (job.waitForCompletion(true)) {
            errMsg = "FlowGroup: TEST SUCCESSFULLY...";
            LOGGER.debug(errMsg);
            System.out.println(errMsg);
            return 0;
        } else {
            errMsg = "FlowGroup: TEST FAILED...";
            LOGGER.debug(errMsg);
            System.out.println(errMsg);
            return 1;
        }            
        
    }
    
    public static void main(String[] args) throws Exception {
        if (args.length != 3) {
            String errMsg = "FlowGroup: ARGUMENTS ERROR";
            LOGGER.error(errMsg);
            System.out.println(errMsg);
            System.exit(-1);
        }
        
        int result = ToolRunner.run(new Configuration(), new FlowGroup(), args);
        System.exit(result);
    }
}

FlowGroupPartition

package com.ares.hadoop.mr.flowgroup;

import java.util.HashMap;

import org.apache.hadoop.mapreduce.Partitioner;

public class FlowGroupPartition<KEY, VALUE> extends Partitioner<KEY, VALUE>{
    private static HashMap<String, Integer> groupMap = new HashMap<String, Integer>();
    static {
        groupMap.put("135", 0);
        groupMap.put("136", 1);
        groupMap.put("137", 2);
        groupMap.put("138", 3);
    }
    
    @Override
    public int getPartition(KEY key, VALUE value, int numPartitions) {
        // TODO Auto-generated method stub
        return (groupMap.get(key.toString().substring(0, 3)) == null)?4:
            groupMap.get(key.toString().substring(0, 3));
    }

}
原文地址:https://www.cnblogs.com/junneyang/p/5849257.html