Re: How to run multiple jobs at the same time?

[Marcos Ortiz]

Apache Mahout was built for that
Look here: 
https://cwiki.apache.org/confluence/display/MAHOUT/K-Means+Clustering

If you don't want to use the Mahout's approach (highly recommended), you 
can use
the MultipleInput class for that:
http://hadoop.apache.org/common/docs/current/api/org/apache/hadoop/mapreduce/lib/input/MultipleInputs.html

An example of the Ton White's Book using MultipleInputs:
MultipleInputs.addInputPath(job, ncdcInputPath,
        TextInputFormat.class, MaxTemperatureMapper.class);
MultipleInputs.addInputPath(job, metOfficeInputPath,
        TextInputFormat.class, MetOfficeMaxTemperatureMapper.class);


On 09/23/2012 12:31 PM, Jason Yang wrote:
Hi, all

I have implemented a K-Means algorithm in MapReduce. This program 
consists of many iterations and each iteration is a MapReduce Job. 
here is my pseudo-code:

-----
int count  = 0;
do
{
    ....
    SET input path = output path of last iteration;
    SET output path = new path(count);
    ...
    runJob
}
while( (!converged) && (count < maxCount) )
------

Now I got a question that what should I do if I would like to apply 
this algorithm on multiple data at the same time?

Because there are dependency btw iterations, so I have to use 
JobConf.runJob(), which would block until the iteration finished.

Could I use thread?

BTW, I'm using hadoop-0.20.2
--
YANG, Lin


--

Marcos Luis Ortíz Valmaseda
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