Changes between Version 1 and Version 2 of Hadoop_Lab5_1

Timestamp:

Sep 15, 2009, 4:47:51 PM (16 years ago)

Author:

waue

Comment:

--

Hadoop_Lab5_1

@@ -247 +247 @@
  * 在這我們編輯一個範例程式 : WordCount 
 
- == 3.1 mapper.java ==
- 
- 1. new
- 
- || File ->  || new ->  || mapper || 
-[[Image(wiki:waue/2009/0617:file-new-mapper.png)]]
-
------------
-
- 2. create
- 
-[[Image(wiki:waue/2009/0617:3-1.png)]]
-{{{
-#!sh
-source folder-> 輸入： icas/src
-Package : Sample
-Name -> : mapper
-}}}
-----------
-
- 3. modify
- 
-{{{
-#!java
-package Sample;
-
-import java.io.IOException;
-import java.util.StringTokenizer;
-
-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 mapper extends MapReduceBase implements Mapper<LongWritable, Text, Text, IntWritable> {
-    private final static IntWritable one = new IntWritable(1);
-    private Text word = new Text();
-
-    public void map(LongWritable key, Text value, OutputCollector<Text, IntWritable> output, Reporter reporter) throws IOException {
-      String line = value.toString();
-      StringTokenizer tokenizer = new StringTokenizer(line);
-      while (tokenizer.hasMoreTokens()) {
-        word.set(tokenizer.nextToken());
-        output.collect(word, one);
-      }
-    }
-  }
-
-}}}
-
-建立mapper.java後，貼入程式碼
-[[Image(wiki:waue/2009/0617:3-2.png)]]
-
-------------
-
-== 3.2 reducer.java ==
-
- 1. new
-
- * File -> new -> reducer
-[[Image(wiki:waue/2009/0617:file-new-reducer.png)]]
-
--------
- 2. create
-[[Image(wiki:waue/2009/0617:3-3.png)]]
-
-{{{
-#!sh
-source folder-> 輸入： icas/src
-Package : Sample
-Name -> : reducer
-}}}
-
------------
-
- 3. modify 
- 
-{{{
-#!java
-package Sample;
-
-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 reducer 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 sum = 0;
-      while (values.hasNext()) {
-        sum += values.next().get();
-      }
-      output.collect(key, new IntWritable(sum));
-    }
-  }
-}}}
-
- * File -> new -> Map/Reduce Driver
-[[Image(wiki:waue/2009/0617:file-new-mr-driver.png)]]
-----------
-
-== 3.3 WordCount.java (main function) ==
-
- 1. new
-
-建立WordCount.java，此檔用來驅動mapper 與 reducer，因此選擇 Map/Reduce Driver
-
-
-[[Image(wiki:waue/2009/0617:3-4.png)]]
-------------
-
- 2. create
-
-{{{
-#!sh
-source folder-> 輸入： icas/src
-Package : Sample
-Name -> : WordCount.java
-}}}
-
--------
- 3. modify
-
-{{{
-#!java
-package Sample;
-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;
-import org.apache.hadoop.mapred.TextInputFormat;
-import org.apache.hadoop.mapred.TextOutputFormat;
-
-public class WordCount {
-
-   public static void main(String[] args) throws Exception {
-     JobConf conf = new JobConf(WordCount.class);
-     conf.setJobName("wordcount");
-
-     conf.setOutputKeyClass(Text.class);
-     conf.setOutputValueClass(IntWritable.class);
-
-     conf.setMapperClass(mapper.class);
-     conf.setCombinerClass(reducer.class);
-     conf.setReducerClass(reducer.class);
-
-     conf.setInputFormat(TextInputFormat.class);
-     conf.setOutputFormat(TextOutputFormat.class);
-
-    FileInputFormat.setInputPaths(conf, new Path("/user/hadooper/input"));
-    FileOutputFormat.setOutputPath(conf, new Path("lab5_out2"));
-
-     JobClient.runJob(conf);
-   }
-}
-}}}
-
-三個檔完成後並存檔後，整個程式建立完成
-[[Image(wiki:waue/2009/0617:3-5.png)]]
-
--------
-
- * 三個檔都存檔後，可以看到icas專案下的src，bin都有檔案產生，我們用指令來check
- 
-{{{
-$ cd workspace/icas
-$ ls src/Sample/
-mapper.java  reducer.java  WordCount.java
-$ ls bin/Sample/
-mapper.class  reducer.class  WordCount.class
-}}}
 
  = 四、測試範例程式 =
-
-在此提供兩種方法來run我們從eclipse 上編譯出的code。 
-
-方法一是直接在eclipse上用圖形介面操作，參閱 4.1  在eclipse上操作
-
-方法二是產生jar檔後搭配自動編譯程式Makefile，參閱4.2
-
-
- == 4.1 法一：在eclipse上操作 ==
 
  * 右鍵點選專案資料夾：icas -> run as -> run on Hadoop 
@@ -446 +255 @@
 
 
-
+= 五、結論 =
+
+ * 搭配eclipse ，我們可以更有效率的開發hadoop
+ * hadoop 0.20 與之前的版本api以及設定都有些改變，可以看 [wiki:waue/2009/0617 hadoop 0.20 coding (eclipse )] 
+ * 有更多的時間請見 [http://trac.nchc.org.tw/cloud/wiki/Hadoop_Lab5_2 進階版]