Even run() of CanopyDriver, which takes only T1 and T2 is giving
different results for sequential and mapreduce.
This is preventing me from scaling up, as I need to run mapreduce on
hadoop to scale.
Is anyone having any idea of this problem?
On 02-10-2011 00:27, Paritosh Ranjan wrote:
Hi,
I am able to cluster correctly sequentially, using CanopyDriver.
However, the same dataset, when processed as a MapReduce job, where (
t1 = t3 and t2 = t4 and t1>t2) is not working. I am getting errors
like Canopies are empty.
I also tried to reduce the values of t3 and t4. But reducing it either
has no effect or gives meaningless results.
Am I doing something wrong? or is there a bug somewhere?
I feel that both, sequential and MapReduce should give similar
results. But, It is not happening.
Thanks and Regards,
Paritosh
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