On Wed, May 7, 2014 at 2:21 AM, David R Forrest <d...@vims.edu> wrote:
> It sounds as if your underlying MySQL database is too slow for your purposes.
> Whatever you layer on top of it will be constrained by the underlying
> database. To speed up the process significantly, you may need to do work on
> the database backend part of the process.
You might try MonetDB and its R interface -- it is fast for
aggregation operations, and either the current version or the upcoming
version has dplyr support.
-thomas
--
Thomas Lumley
Professor of Biostatistics
University of Auckland
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