A bit of a warning, if the fields are DATETIME rather than DATE, add the
appropriate hours:minutes:seconds to the test
WHERE datetimefield >'1999-02-01 23:59:59'. When comparing DATETIME fields
with date strings '00:00:00' is assumed and that can cause problems if one
forgets that.
> Have you considered NOT comparing dates as strings but rather as date
> values?  That will avoid the use of CONCAT() completely.
>
>
> SELECT *
> FROM sampletable
> WHERE datefield >= '1999-01-12' and datefield <'1999-02-01'
>
> This example query will get all of the records from sampletable that
> were  entered after January 11th and before February 1st. It will also
> be  **very** fast if the column "datefield" is indexed.
>
> Shawn Green
> Database Administrator
> Unimin Corporation - Spruce Pine
>
> Alfredo Cole <[EMAIL PROTECTED]> wrote on 10/11/2004 09:43:14 AM:
>
>> Hi:
>>
>> I have a problem in that all statements that include concat execute
>> very
>
>> slowly. For instance, if I have three fields in string format  that
> represent
>> a year, month and day, and want to issue a select like:
>>
>> select * from cxcmanpag where contact
>> (year,month,day)<=stringYear+stringMonth+stringDay (simplified), then
>> it
> will
>> take a long time, againts a table with only around 100,00 records. If
>> I  rewrite the statement to read:
>>
>> select * from cxcmanpag where year<=stringYear and month<=stringMonth
> and
>> day<=stringDay, it will execute considerable faster, but will not
> produce the
>> same results.
>>
>> I have looked in the manual, and also read High Performance MySQL
>> from Zawodny
>> and Balling, and MySQL from Paul Dubois, but none of them seem to
> address
>> this issue.
>>
>> Can somebody point me to a URL or book that I should be reading to
> improve,
>> this, or how to avoid using concat altogether?
>>
>> Thank you.
>>
>> --
>> Alfredo J. Cole
>> Grupo ACyC
>> www.acyc.com - www.clshonduras.com - SolCom


-- 
William R. Mussatto, Senior Systems Engineer
Ph. 909-920-9154 ext. 27
FAX. 909-608-7061



-- 
MySQL General Mailing List
For list archives: http://lists.mysql.com/mysql
To unsubscribe:    http://lists.mysql.com/[EMAIL PROTECTED]

Reply via email to