I am just wildly guessing here, but you initially stated that you queried
on '02-03-2001' (Which I read as February 3, 2001 -- and I belive postgres
does as well) which returned 60 results, and on '03-03-2001' (March 3,
2001), which returned 70 results. However, that is *not* the query your
wrote out, you wrote date_date >= '2001-03-02' (which I would read as
March 2, 2001) and date_date <= '2001-03-03' (March 3, 2001) -- which is
two entirely different date ranges, and, hence, why you see the seemingly
incorrect results.
Try this:
SELECT count(*) FROM table WHERE date_date = '03-02-2001'::date;
SELECT count(*) FROM table WHERE date_date = '03-03-2001'::date;
The sum of the above two, should match the count for each of the next two
SELECT count(*) FROM table WHERE date_date >= '03-02-2001'::date AND
date_date <= '03-03-2001'::date;
SELECT count(*) FROM table WHERE date_date >= '03-02-2001'::date AND
date_date < '03-04-2001'::date;
Michael Fork - CCNA - MCP - A+
Network Support - Toledo Internet Access - Toledo Ohio
On Tue, 6 Mar 2001, Markus Fischer wrote:
> Hello,
>
> I've a SELECT statement on many joined Tabled and one of them has
> a date column called 'date_date'. When I fetch a date e.g.
> '02-03-2001', I get, say, 60 results back. When I now perform the
> same query with another date, lets take '03-03-2001', I get back
> about 70 results.
>
> When I now modify my query to get both results in one I write
>
> SELECT
> ....
> FROM
> ..
> AND
> date_date >= '2001-03-02'
> AND
> date_date <= '2001-03-03'
> AND
> ....
>
> I think I should get back the rows for both days, 60 + 70 makes
> 130 to me. But what I get back is even smaller then 60. I
> allready tried TO_DATE conversion, an OR construct but always
> the same result.
>
> Is there something special to know when comparing/working with
> date-datetypes ?
>
>
> kind regards,
> Markus
>
> --
> Markus Fischer, http://josefine.ben.tuwien.ac.at/~mfischer/
> EMail: mfischer@josefine.ben.tuwien.ac.at
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