| | 1 | ◢ <[wiki:Hinet131022/Lab17 實作十六]> | <[wiki:Hinet131022 回課程大綱]> ▲ | <[wiki:Hinet131022/Lab19 實作十九]> ◣ |
| | 2 | |
| | 3 | = 實作十八 Lab18 = |
| | 4 | |
| | 5 | {{{ |
| | 6 | #!html |
| | 7 | <p style="text-align: center;"><big style="font-weight: bold;"><big> 增加 Reducer 個數<br/>Job.setNumReduceTasks(N)</big></big></p> |
| | 8 | }}} |
| | 9 | |
| | 10 | [[PageOutline]] |
| | 11 | |
| | 12 | {{{ |
| | 13 | #!text |
| | 14 | 請先連線至 nodeN.3du.me , N 為您的報名編號 |
| | 15 | }}} |
| | 16 | |
| | 17 | * 在前兩個範例中,我們可以觀察到預設的 reducer 個數是固定的。那我們是否可以修改 reducer 的個數呢?答案是可行的! |
| | 18 | {{{ |
| | 19 | cd ~/hadoop_labs/lab010 |
| | 20 | ant |
| | 21 | hadoop fs -rmr input output |
| | 22 | hadoop fs -put ~/hadoop/conf input |
| | 23 | hadoop jar WordCount.jar input output |
| | 24 | hadoop fs -ls output |
| | 25 | hadoop fs -cat output/part-* |
| | 26 | }}} |
| | 27 | |
| | 28 | * 關於 Job 的 setNumReduceTasks() 詳見 javadoc |
| | 29 | * org.apache.hadoop.mapreduce.Job.setNumReduceTasks(int) |
| | 30 | * http://hadoop.apache.org/docs/r1.0.4/api/org/apache/hadoop/mapreduce/Job.html#setNumReduceTasks(int) |
| | 31 | |
| | 32 | == 實作習題 == |
| | 33 | |
| | 34 | <問題 1> 請問執行任務時,同時有幾個 Reducer? |
| | 35 | {{{ |
| | 36 | #!text |
| | 37 | (A) 0 |
| | 38 | (B) 1 |
| | 39 | (C) 2 |
| | 40 | (D) 3 |
| | 41 | }}} |
| | 42 | |
| | 43 | <問題 2> 請問執行任務後,最後產生幾個輸出檔? |
| | 44 | {{{ |
| | 45 | #!text |
| | 46 | (A) 0 |
| | 47 | (B) 1 |
| | 48 | (C) 2 |
| | 49 | (D) 3 |
| | 50 | }}} |
| | 51 | |
| | 52 | <問題 3> 若將 Reducer 個數設為 2,而 mapper 輸出的 key 是 {A,B,C,D}, 其中 A < B < C < D。請問,結果會是以下哪一個? |
| | 53 | {{{ |
| | 54 | #!text |
| | 55 | (A) {A, B}, {C, D} |
| | 56 | (B) {A, B, C}, {D} |
| | 57 | (C) {A, C}, {B, D} |
| | 58 | (D) {A, D}, {B, C} |
| | 59 | }}} |