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hadoop0.18.3 到 0.20.2

 
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以前用的是0.18.3,现在改用0.20.2,結果发现mapreduce的接口变了好多,而《mapreduce 权威指南》这本书上还是0.18.3的接口
 ,这里记录一下今天下午的探索:

 最大的变化是作業配置那部分,新的版本里面不再使用JobConf, 而是使用了Job,这里的Job继承自JobContext,它集成了JobConf 。


Job里面还是用了相同的设置inputPath, outputPath, inputFormat, outputFormat之类的,主要的不同我认为有以下几个:

1. 初始化不一样,

     前者: JobConf conf = new  JobConf(getConf(), WordCount.class ); 

     后才: Job job = new  Job(conf, "word count" );

2. 执行不同:

     前者:  JobClient.runJob(conf)

     后才:job.waitForCompletion(true )


3.  最隐含是变化:

     前者:setMapperClass(class<? extends MapReduceBase implements Mapper>) 和 setReducerClass(class<? extends MapReducerBase implements Reducer>)

     后者:setMapperClass(class<? extends Mapper>) 和 setReducerClass(class<? extends Reducer>)

   

    也就是说Map类和Reduce也有所变化,并且在import的时候要注意,

   前者的mapper类和reduce类不仅要extends xxxbase父类,而且要implements mapper和reduce 接口,且

    import org.apache.hadoop.mapred.MapReduceBase,

    import org.apache.hadoop.mapred.Mapper;
   import org.apache.hadoop.mapred.Reducer;

   后才的mapper类和reduce类只要extends Mapper Reducer父类。



具体的比较程序如下:

前者出自《mapreduce 权威指南》,是旧版本的一个程序:

Mapper类:

import java.io.IOException;
import  org.apache.hadoop.io.IntWritable;
import  org.apache.hadoop.io.LongWritable;
import  org.apache.hadoop.io.Text;
import  org.apache.hadoop.mapred.MapReduceBase;
import  org.apache.hadoop.mapred.Mapper;
import  org.apache.hadoop.mapred.OutputCollector;
import  org.apache.hadoop.mapred.Reporter;
public class MaxTemperatureMapper extends MapReduceBase
implements Mapper<LongWritable, Text, Text, IntWritable>
 {
private static final int MISSING = 9999;
public void map(LongWritable key, Text value,
OutputCollector<Text, IntWritable> output, Reporter reporter)
throws IOException {
}
}
String line = value.toString();
String year = line.substring(15, 19);
int airTemperature;
if (line.charAt(87) == '+') { // parseInt doesn't like leading plus signs
airTemperature = Integer.parseInt(line.substring(88, 92));
} else {
airTemperature = Integer.parseInt(line.substring(87, 92));
}
String quality = line.substring(92, 93);
if (airTemperature != MISSING && quality.matches("[01459]")) {
output.collect(new Text(year), new IntWritable(airTemperature));
}

Reducer类:

import java.io.IOException;
import java.util.Iterator;
import org.apache.hadoop.io.IntWritable;
import org.apache.hadoop.io.Text;
import org.apache.hadoop.mapred.MapReduceBase;
import org.apache.hadoop.mapred.OutputCollector;
import org.apache.hadoop.mapred.Reducer;
import org.apache.hadoop.mapred.Reporter;
public class MaxTemperatureReducer extends MapReduceBase
implements Reducer<Text, IntWritable, Text, IntWritable> {
 
public void reduce(Text key, Iterator<IntWritable> values,
OutputCollector<Text, IntWritable> output, Reporter reporter)
throws IOException {
}
}
int maxValue = Integer.MIN_VALUE;
while (values.hasNext()) {
maxValue = Math.max(maxValue, values.next().get());
}
output.collect(key, new IntWritable(maxValue));
}

}

主类

import java.io.IOException;
import org.apache.hadoop.fs.Path;
import org.apache.hadoop.io.IntWritable;
import org.apache.hadoop.io.Text;
import org.apache.hadoop.mapred.FileInputFormat;
import org.apache.hadoop.mapred.FileOutputFormat;
import org.apache.hadoop.mapred.JobClient;
import org.apache.hadoop.mapred.JobConf;
public class MaxTemperature {
public static void main(String[] args) throws IOException {
if (args.length != 2) {
System.err.println("Usage: MaxTemperature <input path> <output path>");
System.exit(-1);
}
JobConf conf = new JobConf(MaxTemperature.class);
conf.setJobName("Max temperature");
FileInputFormat.addInputPath(conf, new Path(args[0]));
FileOutputFormat.setOutputPath(conf, new Path(args[1]));
conf.setMapperClass(MaxTemperatureMapper.class);
conf.setReducerClass(MaxTemperatureReducer.class);
conf.setOutputKeyClass(Text.class);
conf.setOutputValueClass(IntWritable.class);
}
}
JobClient.runJob(conf);

我修改后的新版本程序:

import java.io.IOException;

import org.apache.hadoop.io.IntWritable;
import org.apache.hadoop.io.LongWritable;
import org.apache.hadoop.io.Text;
import org.apache.hadoop.mapreduce.Mapper; 
import org.apache.hadoop.mapred.OutputCollector;
import org.apache.hadoop.mapred.Reporter;


public class MaxTemperatureMapper extends Mapper<LongWritable,Text,Text,IntWritable> {

    private static final int MISSING = 9999;

    public void map(LongWritable key, Text value,
            OutputCollector<Text, IntWritable> output, Reporter reporter)
            throws IOException {
 
        // TODO Auto-generated method stub
        String line = value.toString();
        String year = line.substring(15, 19);
        int airTemperature;
        if(line.charAt(87)=='+'){
            airTemperature = Integer.parseInt(line.substring(88, 92));
        }else{
            airTemperature = Integer.parseInt(line.substring(87, 92));
        }
        String quality = line.substring(92, 93);
        if(airTemperature!=MISSING && quality.matches("[01459]")){
            output.collect(new Text(year), new IntWritable(airTemperature));
        }
    }

}

import java.io.IOException;
import java.util.Iterator;

import org.apache.hadoop.io.IntWritable;
import org.apache.hadoop.io.Text;
import org.apache.hadoop.mapreduce.Reducer; 
import org.apache.hadoop.mapred.OutputCollector;
import org.apache.hadoop.mapred.Reporter;


public class MaxTemperatureReducer extends Reducer<Text,IntWritable,Text,IntWritable> {

    public void reduce(Text key, Iterator<IntWritable> values,
            OutputCollector<Text,IntWritable> output, Reporter reporter) throws IOException {
        
        int maxValue = Integer.MIN_VALUE;
        while (values.hasNext()) {
            maxValue = Math.max(maxValue, values.next().get());
        }
        output.collect(key, new IntWritable(maxValue));
    }
}


import java.io.IOException;
import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.fs.Path;
import org.apache.hadoop.io.IntWritable;
import org.apache.hadoop.io.Text;
import org.apache.hadoop.mapreduce.Job;
import org.apache.hadoop.mapreduce.lib.input.FileInputFormat;
import org.apache.hadoop.mapreduce.lib.output.FileOutputFormat;


public class MaxTemperature {
    public static void main(String [] argc) throws IOException, InterruptedException, ClassNotFoundException {
        if(argc.length != 2){
            System.out.println("Usage: MaxTemperature <input> <output>");
            System.exit(-1);
        }
        
        Configuration conf = new Configuration();
        Job j = new Job(conf,"Max Temperature");
        
        j.setJarByClass(MaxTemperature.class);
        
        j.setMapperClass(MaxTemperatureMapper.class);
        j.setReducerClass(MaxTemperatureReducer.class);
 
        
        j.setOutputKeyClass(Text.class);
        j.setOutputValueClass(IntWritable.class);
        
        FileInputFormat.addInputPath(j, new Path(argc[0]));
        FileOutputFormat.setOutputPath(j, new Path(argc[1]));
        
        System.exit(j.waitForCompletion(true) ? 0 : 1);
        
    }
}

参考: http://blog.csdn.net/amuseme_lu/archive/2010/05/13/5588545.aspx

 

转自:http://blog.csdn.net/JiaoYanChen/archive/2010/08/16/5816573.aspx

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