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". |
