1.下载部分数据。由于实验就仅仅下载2003年的部分气象数据
2.通过zcat *gz > sample.txt命令解压重定向
[hadoop@Master test_data]$ zcat *gz > /home/hadoop/input/sample.txt
3.查看数据格式
4.把文件sample.txt放进hdfs文件系统里
[hadoop@Master input]$ hadoop fs -put /home/hadoop/input/sample.txt /user/hadoop/in/sample.txt
5.Maper : MinTemperatureMapper.java
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;
public> extends Mapper<LongWritable, Text, Text, IntWritable>
{
private static final int MISSING = -9999;
@Override
public void map(LongWritable key, Text value, Context context)
throws IOException, InterruptedException{
String line = value.toString();
String year = line.substring(0,4);
int airTemperature;
airTemperature= Integer.parseInt(line.substring(14, 19).trim());
if (airTemperature!= MISSING) {
context.write(new Text(year), new IntWritable(airTemperature));
}
}
6.Reducer :MinTemperatureReducer.java
import java.io.IOException;
import org.apache.hadoop.io.IntWritable;
import org.apache.hadoop.io.Text;
import org.apache.hadoop.mapreduce.Reducer;
public> extends Reducer<Text, IntWritable, Text, IntWritable>
{
@Override
public void reduce(Text key, Iterable<IntWritable> values,Context context)
throws IOException, InterruptedException
{
int minValue= Integer.MAX_VALUE;
for (IntWritable value : values)
{
minValue= Math.min(minValue, value.get());
}
context.write(key, new IntWritable(minValue));
}
}
7.M-R Job :MinTemperature.java
import org.apache.hadoop.mapreduce.Job;
import org.apache.hadoop.mapreduce.lib.input.FileInputFormat;
import org.apache.hadoop.mapreduce.lib.output.FileOutputFormat;
public>
{
public static void main(String[] args) throws Exception
{
if (args.length!= 2)
{
System.err.println("Usage: MinTemperature<input path> <output path>");
System.exit(-1);
}
Job job= new Job();
job.setJarByClass(MinTemperature.class);
job.setJobName("Min temperature");
FileInputFormat.addInputPath(job, new Path(args[0]));
FileOutputFormat.setOutputPath(job, new Path(args[1]));
job.setMapperClass(MinTemperatureMapper.class);
job.setReducerClass(MinTemperatureReducer.class);
job.setOutputKeyClass(Text.class);
job.setOutputValueClass(IntWritable.class);
System.exit(job.waitForCompletion(true) ? 0 : 1);
}
}
8.编译,压缩成jar 包
[hadoop@Master myclass]$ javac -classpath /usr/hadoop/hadoop-core-1.2.1.jar MinTemperature*.java
[hadoop@Master myclass]$ jar cvf MinTemperature.jar MinTemperature*.class
added manifest
adding: MinTemperature.class(in = 1417) (out= 799)(deflated 43%)
adding: MinTemperatureMapper.class(in = 1740) (out= 722)(deflated 58%)
adding: MinTemperatureReducer.class(in = 1664) (out= 707)(deflated 57%)
9.运行作业
[hadoop@Master myclass]$ hadoop jar /usr/hadoop/myclass/MinTemperature.jar MinTemperature /user/hadoop/in/sample.txt ./out2
运行报错。发现报错,信息例如以下
找了半天原因。发现是没删掉class ,程序找不到类。在myclass 文件下删掉class文件。仅仅保留生成的jar包
[hadoop@Master myclass]$ rm MinTemperature*.class
10.查看结果
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