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實做四: Hadoop 程式編譯
}}} [[PageOutline]] = 練習 0 : hello : 印出我們的 key value 為何 = * 下載 [http://trac.nchc.org.tw/cloud/raw-attachment/wiki/Hadoop_Lab4/nchc-example.jar nchc-example.jar] {{{ $ wget http://trac.nchc.org.tw/cloud/raw-attachment/wiki/Hadoop_Lab4/nchc-example.jar }}} * 執行客製化的hadoop 程式 {{{ $ bin/hadoop jar nchc-example.jar }}} * 輸出結果 {{{ ****************************************** 歡迎使用 NCHC.Hadoop 的運算功能 指令: Hadoop jar nchc-example-*.jar <功能> 功能: wordcount: 計算輸入資料夾內分別在每個檔案的字數統計 mwc: 統合計算所有輸入檔的字數統計 grep: 算出包指定字串的個數 nchcgrep: 整合來源檔內的每個字與其所有出現的所在列 hello: 印出內容並統計累進字數 ****************************************** }}} * 使用hello {{{ $ bin/hadoop jar nchc-example.jar hello }}} * 使用提示: {{{ hello }}} * 範例: {{{ $ bin/hadoop jar nchc-example.jar hello lab3_input lab4_out6 1 1 }}} [wiki:Hadoop_Lab4_hello_018 hello 程式碼] = 練習 1 : Word Count 初級版 = * 上傳內容到hdfs內 {{{ $ cd /opt/hadoop $ mkdir lab4_input $ echo "I like NCHC Cloud Course." > lab4_input/input1 $ echo "I like nchc Cloud Course, and we enjoy this course." > lab4_input/input2 $ bin/hadoop fs -put lab4_input lab4_input $ bin/hadoop fs -ls lab4_input }}} * 下載 [raw-attachment:wiki:Hadoop_Lab4:WordCount.java WordCount.java] 並存到/opt/hadoop; {{{ $ wget trac.nchc.org.tw/cloud/wiki/Hadoop_Lab4/WordCount.java }}} * 運作程式 {{{ $ mkdir MyJava $ javac -classpath hadoop-*-core.jar -d MyJava WordCount.java $ jar -cvf wordcount.jar -C MyJava . $ bin/hadoop jar wordcount.jar WordCount lab4_input/ lab4_out1/ $ bin/hadoop fs -cat lab4_out1/part-00000 }}} * lab4_out1 執行結果 {{{ #!text Cloud 2 Course, 1 Course. 1 I 2 NCHC 1 and 1 course. 1 enjoy 1 like 2 nchc 1 this 1 we 1 }}} ----- = 練習 2 : Word Count 進階版 = {{{ $ echo "\." >pattern.txt && echo "\," >>pattern.txt $ bin/hadoop fs -put pattern.txt ./ $ mkdir MyJava2 }}} * 下載 [raw-attachment:wiki:Hadoop_Lab4:WordCount2.java WordCount2.java] 並存到/opt/hadoop; {{{ $ wget trac.nchc.org.tw/cloud/wiki/Hadoop_Lab4/WordCount2.java }}} {{{ $ javac -classpath hadoop-*-core.jar -d MyJava2 WordCount2.java $ jar -cvf wordcount2.jar -C MyJava2 . $ bin/hadoop jar wordcount2.jar WordCount2 lab4_input lab4_out2 -skip pattern.txt $ bin/hadoop fs -cat lab4_out2/part-00000 }}} * lab4_out2 執行結果 {{{ #!text Cloud 2 Course 2 I 2 NCHC 1 and 1 course 1 enjoy 1 like 2 nchc 1 this 1 we 1 }}} {{{ $ bin/hadoop jar wordcount2.jar WordCount2 -Dwordcount.case.sensitive=false lab4_input lab4_out3 -skip pattern.txt $ bin/hadoop fs -cat lab4_out3/part-00000 }}} * lab4_out3 執行結果 {{{ #!text and 1 cloud 2 course 3 enjoy 1 i 2 like 2 nchc 2 this 1 we 1 }}}