[R] SQL vs R

[David McPearson]

On Tue, 6 May 2014 10:12:50 +0100 Dr Eberhard Lisse <el at lisse.NA> wrote

> Jeff
> 
> It's in MySQL, at the moment roughly 1.8 GB, if I pull it into a
> dataframe it saves to 180MB. I work from the dataframe.
> 
> But, it's not only a size issue it's also a speed issue and hence I
> don't care what I am going to use, as long as it is fast.
> 
> sqldf is easy to understand for me but it takes ages.  If
> alternatives were roughly similar in speed I would remain with
> sqldf.
> 
> dplyr sounds faster, and promising, but the intrinsic stuff is
> way beyond me (elderly Gynaecologist) on the learning curve...
> 
> el
> 
> on 2014-05-06, 09:41 Jeff Newmiller said the following:
> > In what format is this "growing" data stored?  CSV? SQL? Log
> > textfile?  You say you don't want to use sqldf, but you haven't
> > said what you do want to use.
> 


It seems like you are trying to extract a (relatively) small data set from a
much larger SQL databaseWhy not do the SQL stiff in the database and the
analysis *statsm graphics...) in R? Maybe use a make table query to grab the
data of interest, and then import the whole table into R for the analysis?
(Disclaimer: my ignorance of SQL is not far off total)

HTH
D.

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