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courses:mapreduce-tutorial:step-6 [2012/02/05 19:54]
courses:mapreduce-tutorial:step-6 [2012/02/06 13:55] (current)
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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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