好多的教程是通过eclipse提交的任务。当然这只是玩玩。
如果在ubuntu-server集群中这当然行不通。因此jobtracker通过命令行的形式提交任务看起来比较实际。
比如
file1.txt:
2012-3-1 a
2012-3-2 b
2012-3-3 c
2012-3-4 d
2012-3-5 a
2012-3-6 b
2012-3-7 c
2012-3-3 c
file2.txt:
2012-3-1 b 2012-3-2 a 2012-3-3 b 2012-3-4 d 2012-3-5 a 2012-3-6 c 2012-3-7 d 2012-3-3 c
任务是将file1.txt+file2.txt并实现去重。
Dedup.java:
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.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.GenericOptionsParser; public class Dedup { //map将输入中的value复制到输出数据的key上,并直接输出 public static class Map extends Mapper<Object,Text,Text,Text>{ private static Text line=new Text();//每行数据 //实现map函数 public void map(Object key,Text value,Context context) throws IOException,InterruptedException{ line=value; context.write(line, new Text("")); } } //reduce将输入中的key复制到输出数据的key上,并直接输出 public static class Reduce extends Reducer<Text,Text,Text,Text>{ //实现reduce函数 public void reduce(Text key,Iterable<Text> values,Context context) throws IOException,InterruptedException{ context.write(key, new Text("")); } } public static void main(String[] args) throws Exception{ Configuration conf = new Configuration(); //这句话很关键 conf.set("mapred.job.tracker", "192.168.1.2:9001"); String[] ioArgs=new String[]{"dedup_in","dedup_out"}; String[] otherArgs = new GenericOptionsParser(conf, ioArgs).getRemainingArgs(); if (otherArgs.length != 2) { System.err.println("Usage: Data Deduplication <in> <out>"); System.exit(2); } Job job = new Job(conf, "Data Deduplication"); job.setJarByClass(Dedup.class); //设置Map、Combine和Reduce处理类 job.setMapperClass(Map.class); job.setCombinerClass(Reduce.class); job.setReducerClass(Reduce.class); //设置输出类型 job.setOutputKeyClass(Text.class); job.setOutputValueClass(Text.class); //设置输入和输出目录 FileInputFormat.addInputPath(job, new Path(otherArgs[0])); FileOutputFormat.setOutputPath(job, new Path(otherArgs[1])); System.exit(job.waitForCompletion(true) ? 0 : 1); } }
命令行下输入:
hadoop/bin/hadoop fs -mkdir dedup_in hadoop/bin/hadoop fs -put file1.txt dedup_in hadoop/bin/hadoop fs -put file2.txt dedup_in
mkdir classes javac -classpath hadoop/hadoop-core-0.20.204.0.jar:hadoop/lib/commons-cli-1.2.jar -d classes/ Dedup.java jar -cvf Dedup.jar -C classes/ .
hadoop/bin/hadoop jar Dedup.jar Dedup Dedup_in Dedup_out
查看结果:
root@hadoop1:~# hadoop/bin/hadoop fs -lsr dedup_out -rw-r--r-- 3 root supergroup 0 2013-09-17 20:15 /user/root/dedup_out/_SUCCESS drwxr-xr-x - root supergroup 0 2013-09-17 20:15 /user/root/dedup_out/_logs drwxr-xr-x - root supergroup 0 2013-09-17 20:15 /user/root/dedup_out/_logs/history -rw-r--r-- 3 root supergroup 12655 2013-09-17 20:15 /user/root/dedup_out/_logs/history/job_201309171911_0004_1379420132659_root_Data+Deduplication -rw-r--r-- 3 root supergroup 19781 2013-09-17 20:15 /user/root/dedup_out/_logs/history/job_201309171911_0004_conf.xml -rw-r--r-- 3 root supergroup 146 2013-09-17 20:15 /user/root/dedup_out/part-r-00000 root@hadoop1:~# hadoop/bin/hadoop fs -cat dedup_out/part-r-000000
2012-3-1 a 2012-3-1 b 2012-3-2 a 2012-3-2 b 2012-3-3 b 2012-3-3 c 2012-3-4 d 2012-3-5 a 2012-3-6 b 2012-3-6 c 2012-3-7 c 2012-3-7 d