[ Skip to the content ]

Institute of Formal and Applied Linguistics Wiki

[ Back to the navigation ]

You are here: start » courses » mapreduce-tutorial » running-jobs

Differences

This shows you the differences between two versions of the page.

Link to this comparison view

Both sides previous revision Previous revision
Next revision 		Previous revision
courses:mapreduce-tutorial:running-jobs [2012/02/05 21:21]
straka 		courses:mapreduce-tutorial:running-jobs [2013/02/08 14:33]
popel Milan improved our Hadoop
Line 21: Line 21:
 ^ Run using //M// mappers | ''`/net/projects/hadoop/bin/compute-splitsize input M` input output'' | ^ Run using //M// mappers | ''`/net/projects/hadoop/bin/compute-splitsize input M` input output'' |
  
 +From February 2012, using the parameter ''-w'' makes Hadoop to wait W seconds after the **last** task is finished. This means that you can start a cluster for one task (with ''-c N_machines -w W_seconds'') and reuse it (with ''-jt jobtracker:port'') for other tasks without worries that the other tasks will be killed before finishing.
 +
 +===== Running multiple jobs =====
 +There are several ways of running multiple jobs:
 +  * Java only: Create multiple ''Job'' instances and call ''submit'' or ''waitForCompletion'' multiple times
 +  * Create a cluster using ''/net/projects/hadoop/bin/hadoop-cluster'', parse the jobtracker:port using ''head -1'' and run the jobs using ''-jt jobtracker:port''
 +  * Create a shell script running multiple jobs using ''-jt HADOOP_JOBTRACKER''. Then run it using ''//net/projects/hadoop/bin/hadoop-cluster -c machines script.sh''.

[ Back to the navigation ] [ Back to the content ]