Hadoop 進階課程
範例
說明
HelloHadoop 說明: hadoop的hello world程式 此程式可用來瞭解 hadoop的 <key , value> 為何值,並且練習hadoop api coding 測試方法: 將此程式運作在hadoop 0.20 平台上,執行: --------------------------- hadoop jar HelloHadoop.jar --------------------------- 注意: 1. 在hdfs 上來源檔案的路徑為 "/user/$YOUR_NAME/input" 請注意必須先放資料到此hdfs上的資料夾內,且此資料夾內只能放檔案,不可再放資料夾 input資料內的檔案若個數超過1個,則運算結果將會以某一個為主 2. 運算完後,程式將執行結果放在hdfs 的輸出路徑為 "/user/$YOUR_NAME/output-hh1" 請注意此資料夾為運算之後才產生的,故運算之前不可有此資料夾
$ /opt/hadoop/bin/hadoop dfs -mkdir input $ /opt/hadoop/bin/hadoop dfs -put /opt/hadoop/README.txt /user/hadoop/input $ /opt/hadoop/bin/hadoop dfs -ls input Found 1 items -rw-r--r-- 1 hadoop supergroup 1366 2010-09-28 11:13 /user/hadoop/input/README.txt
HelloHadoop.java
package org.nchc.hadoop; import java.io.IOException; import org.apache.hadoop.conf.Configuration; import org.apache.hadoop.fs.Path; import org.apache.hadoop.io.LongWritable; 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 HelloHadoop { static public class HelloMapper extends Mapper<LongWritable, Text, LongWritable, Text> { public void map(LongWritable key, Text value, Context context) throws IOException, InterruptedException { // 將出入資料 原封不動的寫入 輸出 context.write((LongWritable) key, (Text) value); } } static public class HelloReducer extends Reducer<LongWritable, Text, LongWritable, Text> { public void reduce(LongWritable key, Iterable<Text> values, Context context) throws IOException, InterruptedException { Text val = new Text(); // 取回 val 的資料 for (Text str : values) { val.set(str.toString()); } // 將取回的資料引入輸出 context.write(key, val); } } public static void main(String[] args) throws IOException, InterruptedException, ClassNotFoundException { // 引入 $HADOOP_HOME/conf 內控制檔內的資料 Configuration conf = new Configuration(); // 宣告job 取得conf 並設定名稱 Hadoop Hello World Job job = new Job(conf, "Hadoop Hello World"); // 設定此運算的主程式 job.setJarByClass(HelloHadoop.class); // 設定輸入路徑 FileInputFormat.setInputPaths(job, "/user/hadoop/input"); // 設定輸出路徑 FileOutputFormat.setOutputPath(job, new Path("/user/hadoop/output-hh1")); // 指定定map class job.setMapperClass(HelloMapper.class); // 指定reduce class job.setReducerClass(HelloReducer.class); // 開使運算 job.waitForCompletion(true); } }
- 最後請呈現結果檔, 如: /user/hadoop/output-hh1/part-r-00000
Last modified 13 years ago
Last modified on Aug 2, 2011, 2:09:58 PM