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= 實作六 Lab 6 =
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在完全分散模式執行 MapReduce 基本運算
Running MapReduce in Full Distributed Mode by Examples
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以下練習,請連線至 https://lab.3du.me 操作。底下的 hXXXX 等於您的用戶名稱。
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 * https://lab.3du.me
 * https://lab2.3du.me
 * https://lab3.3du.me
== Sample 1 : WordCount ==
 
 * 如名稱,WordCount會對所有的字作字數統計,並且從a-z作排列[[BR]]WordCount example will count each word shown in documents and sorting from a to z.
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~$ hadoop fs -put /opt/hadoop/conf lab5_input
~$ hadoop fs -rmr lab5_out2
~$ hadoop jar hadoop-examples.jar wordcount lab5_input lab5_out2
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 * 檢查輸出結果的方法同之前方法[[BR]]Let's check the computed result of '''wordcount''' from HDFS : 
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$ hadoop fs -ls lab5_out2
$ hadoop fs -cat lab5_out2/part-r-00000 
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 * 結果如下[[BR]]You should see results like this: 
{{{
"".	4
"*"	9
"127.0.0.1"	3
"AS	2
"License");	2
"_logs/history/"	1
"alice,bob	9
( ... skip ... )
}}}
== Sample 2: grep ==
 
 * grep 這個命令是擷取文件裡面特定的字元,在Hadoop example中此指令可以擷取文件中有此指定文字的字串,並作計數統計[[BR]]grep is a command to extract specific characters in documents. In hadoop examples, you can use this command to extract strings match the regular expression and count for matched strings.
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$ hadoop fs -ls lab5_input
$ hadoop jar hadoop-examples.jar grep lab5_input lab5_out3 'dfs[a-z.]+' 
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 * 運作的畫面如下:[[BR]]You should see procedure like this:  
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11/04/19 10:00:20 INFO mapred.FileInputFormat: Total input paths to process : 25
11/04/19 10:00:20 INFO mapred.JobClient: Running job: job_201104120101_0645
11/04/19 10:00:21 INFO mapred.JobClient:  map 0% reduce 0%
( ... skip ... )
}}}
 * 接著查看結果[[BR]]Let's check the computed result of '''grep''' from HDFS :
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$ hadoop fs -ls lab5_out3
Found 2 items
drwx------   - hXXXX supergroup          0 2011-04-19 10:00 /user/hXXXX/lab5_out1/_logs
-rw-r--r--   2 hXXXX supergroup       1146 2011-04-19 10:00 /user/hXXXX/lab5_out1/part-00000
$ hadoop fs -cat lab5_out3/part-00000 
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 * 結果如下[[BR]]You should see results like this: 
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4	dfs.permissions
4	dfs.replication
4	dfs.name.dir
3	dfs.namenode.decommission.interval.
3	dfs.namenode.decommission.nodes.per.interval
3	dfs.
( ... skip ... )
}}}
== More Examples ==
 
 可執行的指令一覽表:[[BR]]Here is a list of hadoop examples :
 || aggregatewordcount ||  An Aggregate based map/reduce program that counts the words in the input files. || 
 || aggregatewordhist || An Aggregate based map/reduce program that computes the histogram of the words in the input files. || 
 || grep ||  A map/reduce program that counts the matches of a regex in the input. || 
 || join || A job that effects a join over sorted, equally partitioned datasets || 
 || multifilewc ||  A job that counts words from several files. || 
 || pentomino  || A map/reduce tile laying program to find solutions to pentomino problems. || 
 || pi ||  A map/reduce program that estimates Pi using monte-carlo method. || 
 || randomtextwriter ||  A map/reduce program that writes 10GB of random textual data per node. || 
 || randomwriter || A map/reduce program that writes 10GB of random data per node. || 
 || sleep ||  A job that sleeps at each map and reduce task. || 
 || sort || A map/reduce program that sorts the data written by the random writer. || 
 || sudoku ||  A sudoku solver. || 
 || wordcount || A map/reduce program that counts the words in the input files. || 
You could find more detail at [http://hadoop.apache.org/core/docs/current/api/org/apache/hadoop/examples/package-summary.html org.apache.hadoop.examples]