Hi Richard,

Our longest select so far this one:

select * from log where ((aut not like '6%' and aut not like '-1%') or
(avm not like '6%' and avm not like '-1%') or (lam not like '6%' and lam
not like '-1%') or (pam not like '6%' and pam not like '-1%') or (pas
not like '6%' and pas not like '-1%') or (clc not like '6%' and clc not
like '-1%') or (fro not like '6%' and fro not like '-1%') or (spw_ifr
not like '6%' and spw_ifr not like '-1%') or (spw_dem not like '6%' and
spw_dem not like '-1%') or (sp_reg not like '6%' and sp_reg not like
'-1%') or (uni_10 not like '6%' and uni_10 not like '-1%') or (aut_dem
not like '6%' and aut_dem not like '-1%') or (uni_11 not like '6%' and
uni_11 not like '-1%')) order by system, id

This returns 29 columns. I claim no credit for such a rotten data model
that requires a query like this -- it was converted from a spreadsheet.

In another app we have an insert into that inserts 60 columns. The query
is generated by a program so I can't just copy it for you, but I can
provide it if will help.


HTH,

Stephen Toney
Systems Planning
[EMAIL PROTECTED]
http://www.systemsplanning.com


On Wed, 2007-05-09 at 23:32 +0000, [EMAIL PROTECTED] wrote:
> I'm looking for an upper bound on how big legitimate 
> SQL statements handed to SQLite get to be.  I'm not
> interested in contrived examples.  I want to see
> really big SQL statements that are actually used in
> real programs.
> 
> "Big" can be defined in several ways:
> 
>     *  Number of bytes of text in the SQL statement.
>     *  Number of tokens in the SQL statement
>     *  Number of result columns in a SELECT
>     *  Number of terms in an expression
> 
> If you are using really big SQL statements, please
> tell me about them.  I'd like to see the actual
> SQL text if possible.  But if your use is proprietary,
> please at least tell me how big your query is in
> bytes or tokens or columns or expression terms.
> 
> Thanks.
> --
> D. Richard Hipp <[EMAIL PROTECTED]>
> 
> 
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