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Both sides previous revision Previous revision 2012/02/06 13:55 straka 2012/02/05 19:54 straka 2012/01/31 09:41 straka Change Perl commandline syntax.2012/01/30 13:46 straka 2012/01/29 20:25 straka 2012/01/28 13:31 majlis Added links to previous and next chapter.2012/01/28 13:30 majlis Little explanation was added.2012/01/27 16:58 straka 2012/01/27 16:57 straka 2012/01/27 16:57 straka 2012/01/26 23:09 straka 2012/01/25 21:59 straka 2012/01/25 00:28 straka 2012/01/25 00:13 straka 2012/01/25 00:11 straka 2012/01/25 00:03 straka 2012/01/24 23:51 straka 2012/01/24 23:49 straka 2012/01/24 23:44 straka 2012/01/24 22:40 straka 2012/01/24 19:05 straka vytvořeno Go Next revision		Previous revision 2012/02/06 13:55 straka 2012/02/05 19:54 straka 2012/01/31 09:41 straka Change Perl commandline syntax.2012/01/30 13:46 straka 2012/01/29 20:25 straka 2012/01/28 13:31 majlis Added links to previous and next chapter.2012/01/28 13:30 majlis Little explanation was added.2012/01/27 16:58 straka 2012/01/27 16:57 straka 2012/01/27 16:57 straka 2012/01/26 23:09 straka 2012/01/25 21:59 straka 2012/01/25 00:28 straka 2012/01/25 00:13 straka 2012/01/25 00:11 straka 2012/01/25 00:03 straka 2012/01/24 23:51 straka 2012/01/24 23:49 straka 2012/01/24 23:44 straka 2012/01/24 22:40 straka 2012/01/24 19:05 straka vytvořeno Go
courses:mapreduce-tutorial:step-6 [2012/01/31 09:41] straka Change Perl commandline syntax.		courses:mapreduce-tutorial:step-6 [2012/02/06 13:55] (current) straka
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	===== Web interface =====		===== Web interface =====
-	The cluster master provides a web interface on port 50030 (the port may change in the future). The cluster master address can be found at the first line of ''script.pl.c$SGE_JOBID'', or using ''qstat -j $SGE_JOBID'' (context variable ''hdfs_jobtracker_admin'').	+	The cluster master provides a web interface on address printed by the ''hadoop-cluster'' script. The address is also present on the second line of ''script.pl.c$SGE_JOBID'', or using ''qstat -j $SGE_JOBID'', context variable ''hdfs_jobtracker_admin''.
	The web interface provides a lot of useful information:		The web interface provides a lot of useful information:
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	* for any job, all Hadoop settings		* for any job, all Hadoop settings
-	===== If things go wrong =====
-	If the Hadoop job crashes, there are several ways you can do:
-	* run the computation locally in single threaded mode. This is more useful for Hadoop jobs written in Java, because then you can use a debugger. When using Perl API, new subprocess are created for Perl tasks anyway.
-	* use standard error output for log messages. You can access the stderr logs of all Hadoop tasks using the web interface.
	===== Example =====		===== Example =====

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