On Mon, 12 Dec 2005, Sean Davis wrote:
The RODBC equivalent creates the table for you, then fast imports the
file. Might be worthwhile contribution to RMySQL for someone.
> On 12/12/05 9:21 AM, "bogdan romocea" <firstname.lastname@example.org> wrote:
>>> Sean Davis wrote:
>>> but you will have to create the table by hand
>> There's no need for manual steps. To take advantage of MySQL's
>> extremely fast 'load data infile' you could dump the data in CSV
>> format, write a script for mysql (the command line tool), for example
>> q <- function(table,infile)
>> query <- paste("
>> create table ",table," (col1 float, col2 float);
> This is creating the table by hand, as opposed to using dbWriteTable. If
> your data.frame contains 67 columns, using dbWriteTable saves quite a bit of
The RODBC equivalent creates the table for you, then fast imports the file. Might be worthwhile contribution to RMySQL for someone.
Just be careful with client-server systems to have the file in the right
place (if indeed you are allowed to have files on the server).
Brian D. Ripley, email@example.com
Professor of Applied Statistics, http://www.stats.ox.ac.uk/~ripley/
University of Oxford, Tel: +44 1865 272861 (self)
1 South Parks Road, +44 1865 272866 (PA)
Oxford OX1 3TG, UK Fax: +44 1865 272595
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Received on Tue Dec 13 03:40:54 2005
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