As far as I know, the new API is the stuff in the Java package named
org.apache.hadoop.mapreduce, while the old API is in
org.apache.hadoop.mapred.
And, just to keep you on your toes, I am told the new API is deprecated,
it is the old API that is currently favored.
Regards,
Mike
Interesting question. Do you want to be asking those who use Hadoop ---
or those who find it too painful to use?
Regards,
Mike
From: Kunaal
To: common-user@hadoop.apache.org
Date: 03/02/2012 11:23 AM
Subject:Hadoop pain points?
Sent by:kunaalbha...@gmail.com
I am d
Burak,
Before we can really answer your question, you need to give us some more
information on the processing you want to do. Do you want output that is
continuous or batched (if so, how)? How should the output at a given time
be related to the input up to then and the previous outputs?
Regar
I am looking at large dense matrix multiplication as an example problem
for a class of middleware. I am also interested in sparse matrices, but
am taking things one step at a time.
There is a paper in IEEE CloudCom '10 about Hama, including a matrix
multiplication technique. It is essentially
Well, this mismatch may tell me something interesting about Hadoop. Matrix
multiplication has a lot of inherent parallelism, so from very crude
considerations it is not obvious that there should be a mismatch. Why is
matrix multiplication ill-suited for Hadoop?
BTW, I looked into the Mahout do
That's also an interesting question, but right now I am studying Hadoop
and want to know how well dense MM can be done in Hadoop.
Thanks,
Mike
From: Michel Segel
To: "common-user@hadoop.apache.org"
Date: 11/18/2011 12:34 PM
Subject:Re: Matrix multiplication in Hadoop
Is Ha
Who is doing multiplication of large dense matrices using Hadoop? What is
a good way to do that computation using Hadoop?
Thanks,
Mike
My latest information (not from me, from actual experts) says it is NOT
the right approach. Look further into that discussion thread. I do not
understand why (http://hbase.apache.org/notsoquick.html#hadoop) still
points at that misleading message.
Regards,
Mike Spreitzer
From
