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
>>
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>>
>
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