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2012/01/31 11:18 straka 2012/01/31 10:48 majlis 2012/01/31 10:47 majlis 2012/01/30 16:41 majlis 2012/01/30 15:34 majlis 2012/01/27 11:23 straka 2012/01/26 23:57 straka 2012/01/26 23:55 straka 2012/01/26 23:54 straka 2012/01/26 23:53 straka 2012/01/26 23:53 straka 2012/01/26 23:52 straka 2012/01/26 23:52 straka 2012/01/26 23:52 straka 2012/01/26 23:51 straka 2012/01/26 23:45 straka 2012/01/26 23:42 straka 2012/01/26 23:29 straka 2012/01/26 23:28 straka vytvořeno Go Next revision		Previous revision 2012/01/31 11:18 straka 2012/01/31 10:48 majlis 2012/01/31 10:47 majlis 2012/01/30 16:41 majlis 2012/01/30 15:34 majlis 2012/01/27 11:23 straka 2012/01/26 23:57 straka 2012/01/26 23:55 straka 2012/01/26 23:54 straka 2012/01/26 23:53 straka 2012/01/26 23:53 straka 2012/01/26 23:52 straka 2012/01/26 23:52 straka 2012/01/26 23:52 straka 2012/01/26 23:51 straka 2012/01/26 23:45 straka 2012/01/26 23:42 straka 2012/01/26 23:29 straka 2012/01/26 23:28 straka vytvořeno Go Next revision Both sides next revision
courses:mapreduce-tutorial:step-21 [2012/01/26 23:28] straka vytvořeno		courses:mapreduce-tutorial:step-21 [2012/01/26 23:45] straka
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-	====== MapReduce Tutorial :  ======	+	====== MapReduce Tutorial : Preparing the environment ======
		+
		+	To use the Hadoop Java API, you must be able to compile the Java sources with the Hadoop library. An easy way is to use a prepared Makefile:
		+
		+	- Create a directory for the Java sources.
		+	- Create a ''Makefile'' containing <file Makefile Makefile>include /net/projects/hadoop/java/Makefile</file>
		+
		+	When typing ''make'', every Java file is compiled (with the Hadoop library and some extra classes) to a jar file. It is of course possible to compile just selected sources using ''make file1.jar file2.jar''.
		+
		+	Command ''make clean'' remove for every Java file its jar file and subdirectory with compiled classes.
		+
		+	===== Exercise =====
		+	Create a directory and a ''Makefile'' as described and download {{:courses:mapreduce-tutorial:step-21.txt|WordCount.java}}. Try compiling it using ''make''.
		+
		+	===== Using VIM =====
		+	If you like using VIM, there is a special configuration available for editing Hadoop java files. Just execute
		+	/net/projects/hadoop/vim
		+	instead of ''vim''.
		+
		+	This configuration of VIM
		+	* can run ''make'' in current directory by pressing F7 (both in normal and insert mode). The file being edited is automatically saved.

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