|  | 1 |  | 
                          |  | 2 | {{{ | 
                          |  | 3 | #!html | 
                          |  | 4 | <div style="text-align: center; color:#151B8D"><big style="font-weight: bold;"><big><big> | 
                          |  | 5 | Hadoop 進階課程 | 
                          |  | 6 | </big></big></big></div> <div style="text-align: center; color:#7E2217"><big style="font-weight: bold;"><big> | 
                          |  | 7 | 範例練習 | 
                          |  | 8 | </big></big></div> | 
                          |  | 9 | }}} | 
                          |  | 10 |  | 
                          |  | 11 | = 第一關 [wiki:NCHCCloudCourse100928_4_EXM2 下一關 ] = | 
                          |  | 12 |  | 
                          |  | 13 | * 看懂以下程式碼,並成功執行它 | 
                          |  | 14 |  | 
                          |  | 15 | {{{ | 
                          |  | 16 | #!java | 
                          |  | 17 | package org.nchc.hadoop; | 
                          |  | 18 | import java.io.IOException; | 
                          |  | 19 |  | 
                          |  | 20 | import org.apache.hadoop.conf.Configuration; | 
                          |  | 21 | import org.apache.hadoop.fs.Path; | 
                          |  | 22 | import org.apache.hadoop.io.LongWritable; | 
                          |  | 23 | import org.apache.hadoop.io.Text; | 
                          |  | 24 | import org.apache.hadoop.mapreduce.Job; | 
                          |  | 25 | import org.apache.hadoop.mapreduce.Mapper; | 
                          |  | 26 | import org.apache.hadoop.mapreduce.Reducer; | 
                          |  | 27 | import org.apache.hadoop.mapreduce.lib.input.FileInputFormat; | 
                          |  | 28 | import org.apache.hadoop.mapreduce.lib.output.FileOutputFormat; | 
                          |  | 29 |  | 
                          |  | 30 | //      HelloHadoop | 
                          |  | 31 | //      說明: | 
                          |  | 32 | //              hadoop的hello world程式 | 
                          |  | 33 | //              此程式可用來瞭解 hadoop的 <key , value> 為何值,並且練習hadoop api coding | 
                          |  | 34 | // | 
                          |  | 35 | //      測試方法: | 
                          |  | 36 | //      將此程式運作在hadoop 0.20 平台上,執行: | 
                          |  | 37 | //      --------------------------- | 
                          |  | 38 | //      hadoop jar HelloHadoop.jar | 
                          |  | 39 | //      --------------------------- | 
                          |  | 40 | // | 
                          |  | 41 | //      注意: | 
                          |  | 42 | //      1.      在hdfs 上來源檔案的路徑為 "/user/$YOUR_NAME/input" | 
                          |  | 43 | //              請注意必須先放資料到此hdfs上的資料夾內,且此資料夾內只能放檔案,不可再放資料夾 | 
                          |  | 44 | //              input資料內的檔案若個數超過1個,則運算結果將會以某一個為主 | 
                          |  | 45 | //      2.      運算完後,程式將執行結果放在hdfs 的輸出路徑為 "/user/$YOUR_NAME/output-hh1" | 
                          |  | 46 | //              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 | 
                          |  | 47 |  | 
                          |  | 48 | public class HelloHadoop { | 
                          |  | 49 |  | 
                          |  | 50 | static public class HelloMapper extends | 
                          |  | 51 | Mapper<LongWritable, Text, LongWritable, Text> { | 
                          |  | 52 |  | 
                          |  | 53 | public void map(LongWritable key, Text value, Context context) | 
                          |  | 54 | throws IOException, InterruptedException { | 
                          |  | 55 | // 將出入資料 原封不動的寫入 輸出 | 
                          |  | 56 | context.write((LongWritable) key, (Text) value); | 
                          |  | 57 | } | 
                          |  | 58 |  | 
                          |  | 59 | } | 
                          |  | 60 |  | 
                          |  | 61 | static public class HelloReducer extends | 
                          |  | 62 | Reducer<LongWritable, Text, LongWritable, Text> { | 
                          |  | 63 | public void reduce(LongWritable key, Iterable<Text> values, | 
                          |  | 64 | Context context) throws IOException, InterruptedException { | 
                          |  | 65 | Text val = new Text(); | 
                          |  | 66 | // 取回 val 的資料 | 
                          |  | 67 | for (Text str : values) { | 
                          |  | 68 | val.set(str.toString()); | 
                          |  | 69 | } | 
                          |  | 70 | // 將取回的資料引入輸出 | 
                          |  | 71 | context.write(key, val); | 
                          |  | 72 | } | 
                          |  | 73 | } | 
                          |  | 74 |  | 
                          |  | 75 | public static void main(String[] args) throws IOException, | 
                          |  | 76 | InterruptedException, ClassNotFoundException { | 
                          |  | 77 | // 引入 $HADOOP_HOME/conf 內控制檔內的資料 | 
                          |  | 78 | Configuration conf = new Configuration(); | 
                          |  | 79 | // 宣告job 取得conf 並設定名稱 Hadoop Hello World | 
                          |  | 80 | Job job = new Job(conf, "Hadoop Hello World"); | 
                          |  | 81 | // 設定此運算的主程式 | 
                          |  | 82 | job.setJarByClass(HelloHadoop.class); | 
                          |  | 83 | // 設定輸入路徑 | 
                          |  | 84 | FileInputFormat.setInputPaths(job, "/user/hadooper/input"); | 
                          |  | 85 | // 設定輸出路徑 | 
                          |  | 86 | FileOutputFormat.setOutputPath(job, new Path("/user/hadooper/output-hh1")); | 
                          |  | 87 | // 指定定map class | 
                          |  | 88 | job.setMapperClass(HelloMapper.class); | 
                          |  | 89 | // 指定reduce class | 
                          |  | 90 | job.setReducerClass(HelloReducer.class); | 
                          |  | 91 | // 開使運算 | 
                          |  | 92 | job.waitForCompletion(true); | 
                          |  | 93 |  | 
                          |  | 94 | } | 
                          |  | 95 | } | 
                          |  | 96 |  | 
                          |  | 97 | }}} | 
                          |  | 98 |  |