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= 實作八 Lab 8 =
[[PageOutline]]
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在完全分散模式下編譯 MapReduce 程式
Compiling Hadoop MapReduce Java Program in Hadoop Cluster
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{{{
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以下練習,請連線至 hadoop.nchc.org.tw 操作。底下的 hXXXX 等於您的用戶名稱。
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= Practice 1 : Word Count (Basic) =
* 上傳內容到 HDFS 內[[BR]]upload data to HDFS
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$ mkdir lab8_input
$ echo "I like NCTU Cloud Course." > lab8_input/input1
$ echo "I like nctu Cloud Course, and we enjoy this course." > lab8_input/input2
$ hadoop fs -put lab8_input lab8_input
$ hadoop fs -ls lab8_input
Found 2 items
-rw-r--r-- 2 hXXXX supergroup 26 2011-04-19 10:07 /user/hXXXX/lab8_input/input1
-rw-r--r-- 2 hXXXX supergroup 52 2011-04-19 10:07 /user/hXXXX/lab8_input/input2
}}}
* 下載 [http://hadoop.nchc.org.tw/WordCount.java WordCount.java] 並存到家目錄;[[BR]]Download [http://hadoop.nchc.org.tw/WordCount.java WordCount.java] and save to your home directory
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~$ wget http://hadoop.nchc.org.tw/WordCount.java
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* 運作程式[[BR]]Compile WordCount.java and run it by '''hadoop jar''' command
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$ mkdir MyJava
$ ln -s /usr/lib/hadoop/hadoop-*-core.jar hadoop-core.jar
$ javac -classpath hadoop-core.jar -d MyJava WordCount.java
$ jar -cvf wordcount.jar -C MyJava .
$ hadoop jar wordcount.jar WordCount lab8_input/ lab8_out1/
$ hadoop fs -cat lab8_out1/part-00000
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* lab8_out1 執行結果 [[BR]]You should see results like this :
{{{
#!text
Cloud 2
Course, 1
Course. 1
I 2
NCTU 1
and 1
course. 1
enjoy 1
like 2
nctu 1
this 1
we 1
}}}
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= Practice 2 : Word Count (Advanced) =
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$ echo "\." >pattern.txt && echo "\," >>pattern.txt
$ hadoop fs -put pattern.txt .
$ mkdir -p MyJava2
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* 下載 [http://hadoop.nchc.org.tw/WordCount2.java WordCount2.java] 並存到家目錄;[[BR]]Download [http://hadoop.nchc.org.tw/WordCount2.java WordCount2.java] to home directory
{{{
~$ wget http://hadoop.nchc.org.tw/WordCount2.java
}}}
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$ javac -classpath hadoop-core.jar -d MyJava2 WordCount2.java
$ jar -cvf wordcount2.jar -C MyJava2 .
$ hadoop jar wordcount2.jar WordCount2 lab8_input lab8_out2 -skip pattern.txt
$ hadoop fs -cat lab8_out2/part-00000
}}}
* lab8_out2 執行結果[[BR]]You should see results like this:
{{{
#!text
Cloud 2
Course 2
I 2
NCTU 1
and 1
course 1
enjoy 1
like 2
nctu 1
this 1
we 1
}}}
* Let's given case insensitive and ignore pattern for this example
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$ hadoop jar wordcount2.jar WordCount2 -Dwordcount.case.sensitive=false lab8_input lab8_out3 -skip pattern.txt
$ hadoop fs -cat lab8_out3/part-00000
}}}
* lab8_out3 執行結果[[BR]]You should see results like this:
{{{
#!text
and 1
cloud 2
course 3
enjoy 1
i 2
like 2
nctu 2
this 1
we 1
}}}