OK, cool idea... let me try that.
----- Original Message ----- From: "Jeff Hamilton" <[EMAIL PROTECTED]> To: <[EMAIL PROTECTED]>; "General Discussion of SQLite Database" <[email protected]> Sent: Tuesday, August 19, 2008 12:51 PM Subject: Re: [sqlite] 2 Questions from a newbie > If all 2,400 tables have the same 9 columns you could try using a > single table and adding a column for the ticker of the stock and then > add an index to that column to allow quick lookups based on the > ticker. > > -Jeff > > On Tue, Aug 19, 2008 at 9:44 AM, .:UgumugU:. <[EMAIL PROTECTED]> wrote: >> Hi cstrader, >> >> Just send some table structure and the explain what you are trying todo. >> In my opinion it is not a good way to deal with 2400 tables :) >> >> ugumugu >> >> cstrader yazm?s,: >>> I'm just starting with SQLite (from vb.net) and could use some advice. >>> >>> I have a set of 2400 (could get substantially higher) tables in a single >>> database (each table contains daily stock prices for a different stock). >>> Each table has 9 columns (all text for now) and some several thousand >>> rows. >>> So far so good. >>> >>> I need to read those tables sequentially and operate on them. It takes >>> about 18 seconds to open each of the tables in sequence. (i.e. loop >>> through 2400 tables with a select command opening each one) >>> >>> First question... does that sound about right in terms of speed? Is >>> there a >>> way to store the data that might be faster? The data are primarily >>> single >>> precision -- I'm using text format, but perhaps that's not best? >>> >>> Second question: >>> >>> When I open each table I need to add some blank columns to it. So I >>> include >>> some "0 as NewCol" lines to create the new columns with initial 0s. >>> >>> However, adding 20 new columns in this manner increases the total time >>> for >>> the loop from 19 seconds to 49 seconds. This seems like a long time. >>> Is >>> there a faster way to get these empty columns in? >>> >>> More questions later I'm sure... >>> >>> Thanks in advance >>> >>> cs >>> >>> _______________________________________________ >>> sqlite-users mailing list >>> [email protected] >>> http://sqlite.org:8080/cgi-bin/mailman/listinfo/sqlite-users >>> >>> >> >> _______________________________________________ >> sqlite-users mailing list >> [email protected] >> http://sqlite.org:8080/cgi-bin/mailman/listinfo/sqlite-users >> > _______________________________________________ > sqlite-users mailing list > [email protected] > http://sqlite.org:8080/cgi-bin/mailman/listinfo/sqlite-users _______________________________________________ sqlite-users mailing list [email protected] http://sqlite.org:8080/cgi-bin/mailman/listinfo/sqlite-users
