Hi,
Thanks a lot for such a detailed response.
On Wed, Apr 8, 2015 at 8:55 PM, Guillaume Pitel guillaume.pi...@exensa.com
wrote:
Hi Muhammad,
There are lots of ways to do it. My company actually develops a text
mining solution which embeds a very fast Approximate Neighbours solution (a
Hi Muhammad,
There are lots of ways to do it. My company actually develops a text
mining solution which embeds a very fast Approximate Neighbours solution
(a demo with real time queries on the wikipedia dataset can be seen at
wikinsights.org). For the record, we now prepare a dataset of 4.5
cartesian is an expensive operation. If you have 'M' records in location, then
locations. cartesian(locations) will generate MxM result.If locations is a big
RDD, it is hard to do the locations. cartesian(locations) efficiently.Yong
Date: Tue, 7 Apr 2015 10:04:12 -0700
From:
