On 20 March 2012 21:40, David Kerr <dmk@xxxxxxxxxxxxxx> wrote: > On 03/20/2012 04:27 PM, Jim Green wrote: > > Greetings list! > I am pretty new to postgresql from mysql and did a fairly extensive > search of the list and came up with a few good ones but didn't find > the exact same situation as I have now. so I am venturing asking here. > > I have daily minute stock price data from 2005 on and each day with > columns timestamp, open,high,low,close,volume and a few more. each > day's data is about 1.2million rows. I want import all the data to > postgresql and analyze using R with the help of Rpostgresql. > > right now I am having about 7000 tables for individual stock and I use > perl to do inserts, it's very slow. I would like to use copy or other > bulk loading tool to load the daily raw gz data. but I need the split > the file to per stock files first before I do bulk loading. I consider > this a bit messy. > > I would seek advise on the following idea: > store everything in a big table, partition by month(this gives a > reasonable number of partitions) and do bulk loading on the daily > file. my queries would consist mostly select on a particular symbol on > a particular day. > > Also in the future, I will import daily data to the db every day. > > my hardware is 16G Ram, 4x5400rpm raid10 with enough space. > > Thanks! > > Jim. > > > Seems like you'd want to do this? > http://search.cpan.org/~turnstep/DBD-Pg-2.19.2/Pg.pm#pg_putcopydata > COPY support > > DBD::Pg allows for quick (bulk) reading and storing of data by using the > COPY command. The basic process is to use $dbh->do to issue a COPY command, > and then to either add rows using "pg_putcopydata", or to read them by using > "pg_getcopydata". Thanks! would you comment on the table setup as well? Jim. > > > -- Sent via pgsql-general mailing list (pgsql-general@xxxxxxxxxxxxxx) To make changes to your subscription: http://www.postgresql.org/mailpref/pgsql-general
