标签:
搭建好Hadoop集群环境或者单机环境,并运行,MapReduce进程要起来
1. 假设已经配置了下列环境变量
export JAVA_HOME=/usr/java/default export PATH=$JAVA_HOME/bin:$PATH export HADOOP_CLASSPATH=$JAVA_HOME/lib/tools.jar
2.创建2个测试文件,并上传到Hadoop HDFS中
[hadoop@centos-one temp]$ cat file01 Hello World Bye World [hadoop@centos-one temp]$ cat file02 Hello Hadoop Goodbye Hadoop
[hadoop@centos-one temp]$ ../hadoop-2.6.0/bin/hdfs dfs -mkdir /wordcount
[hadoop@centos-one temp]$ ../hadoop-2.6.0/bin/hdfs dfs -mkdir /wordcount/input
../hadoop-2.6.0/bin/hdfs dfs -put file* /wordcount/input
这个是删除HDFS文件夹的命令:
../hadoop-2.6.0/bin/hdfs dfs -rm -r /temp
3.编写WordCount类
import java.io.IOException; import java.util.StringTokenizer; 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; public class WordCount { public static class TokenizerMapper extends Mapper<Object, Text, Text, IntWritable>{ private final static IntWritable one = new IntWritable(1); private Text word = new Text(); public void map(Object key, Text value, Context context ) throws IOException, InterruptedException { StringTokenizer itr = new StringTokenizer(value.toString()); while (itr.hasMoreTokens()) { word.set(itr.nextToken()); context.write(word, one); } } } public static class IntSumReducer extends Reducer<Text,IntWritable,Text,IntWritable> { private IntWritable result = new IntWritable(); public void reduce(Text key, Iterable<IntWritable> values, Context context ) throws IOException, InterruptedException { int sum = 0; for (IntWritable val : values) { sum += val.get(); } result.set(sum); context.write(key, result); } } public static void main(String[] args) throws Exception { Configuration conf = new Configuration(); Job job = Job.getInstance(conf, "word count"); job.setJarByClass(WordCount.class); job.setMapperClass(TokenizerMapper.class); job.setCombinerClass(IntSumReducer.class); job.setReducerClass(IntSumReducer.class); job.setOutputKeyClass(Text.class); job.setOutputValueClass(IntWritable.class); FileInputFormat.addInputPath(job, new Path(args[0])); FileOutputFormat.setOutputPath(job, new Path(args[1])); System.exit(job.waitForCompletion(true) ? 0 : 1); } }
4. 编译WordCount.java 并 打包为jar
$ bin/hadoop com.sun.tools.javac.Main WordCount.java $ jar cf wc.jar WordCount*.class
5.运行MapReduce程序
[hadoop@centos-one temp]$ ../hadoop-2.6.0/bin/hadoop jar wc.jar WordCount /wordcount/input /wordcount/output
查看结果
../hadoop-2.6.0/bin/hadoop dfs -cat /wordcount/output/part-r-00000
Bye 1
Goodbye 1
Hadoop 2
Hello 2
World 2
标签:
原文地址:http://www.cnblogs.com/yanpengfei/p/4303914.html