Kevin,
I've been using 4.1.1 since it was released and I've never heard of compiled
queries.  Are you talking about prepared statements?  
Donny

> -----Original Message-----
> From: Kevin Cowley [mailto:[EMAIL PROTECTED]
> Sent: Thursday, April 29, 2004 1:35 PM
> To: [EMAIL PROTECTED] Mysql. Com
> Subject: Why are compiled queries 50% slower than parsed queries
> 
> OK
> 
> I've just been completing some benchmarking comparing compiled queries
> (new
> in 4.1.1 and above) with standard parsed queries.
> 
> For both INSERT  queries "insert into table( col1, col2,col3)
> values(?,?,?)"
> and SELECT queries "select col1, col2,col3 where col1 between ? and ?" the
> compile query is 50% slower
> 
> Parsed :-
> 
> Insert
>                   total     average      mean      mean     max       min
> run  records      time       time        time    records    time      time
>   0    24851    7.610451   0.000306   0.000239     1008   105588.000000
> 231.000000
> 
> Select
> 
>               run 0     average
> query  rows   time        time
>     0   61  0.075193   0.007519
>     1    7  0.049296   0.004930
>     2   41  0.092106   0.009211
>     3    9  0.048571   0.004857
>     4   16  0.048425   0.004843
>     5   62  0.092040   0.009204
>     6    6  0.066477   0.006648
>     7    1  0.280004   0.028000
>     8    8  0.047900   0.004790
>     9    4  0.113344   0.011334
>    10    0  0.214862   0.021486
>    11    0  0.140650   0.014065
>    12    1  0.251094   0.025109
>    13    0  0.123815   0.012382
>    14    0  0.133870   0.013387
>    15    6  0.306981   0.030698
>    16    0  0.074054   0.007405
>    17    0  0.095875   0.009588
>    18    1  0.126500   0.012650
>    19    8  0.109567   0.010957
> 
> 
> Compiled :-
> 
> Insert
>                   total     average      mean      mean     max       min
> run  records      time       time        time    records    time      time
>   0    24851   18.224807   0.000733   0.000506     1117   303256.000000
> 438.000000
> 
> Select
>               run 0     average
> query  rows   time        time
>     0    0  0.086140   0.086140
>     1    0  0.062718   0.062718
>     2    0  0.109377   0.109377
>     3    0  0.062499   0.062499
>     4    0  0.062543   0.062543
>     5    0  0.109723   0.109723
>     6    0  0.085447   0.085447
>     7    0  0.132177   0.132177
>     8    0  0.062524   0.062524
>     9    0  0.133001   0.133001
>    10    0  0.526721   0.526721
>    11    0  0.525792   0.525792
>    12    0  0.524818   0.524818
>    13    0  0.133818   0.133818
>    14    0  0.525871   0.525871
>    15    0  0.527045   0.527045
>    16    0  0.085946   0.085946
>    17    0  0.108599   0.108599
>    18    0  0.526602   0.526602
>    19    0  0.119850   0.119850
> 
> Anyone care to shed some light on this?
> 
> Kevin Cowley
> R&D
> 
> Tel: 0118 902 9099 (direct line)
> Email: [EMAIL PROTECTED]
> Web: http://www.alchemetrics.co.uk
> 
> 
> 
> **************************************************************************
> ************
> ALCHEMETRICS LIMITED (ALCHEMETRICS)
> Mulberry Park, Fishponds Road, Wokingham, Berkshire, RG41 2GX
> Tel:  +44 (0) 118 902 9000    Fax:  +44 (0) 118 902 9001
> This e-mail is confidential and is intended for the use of the addressee
> only.
> If you are not the intended recipient, you are hereby notified that you
> must
> not use, copy, disclose, otherwise disseminate or take any action based on
> this e-mail or any information herein.
> If you receive this transmission in error, please notify the sender
> immediately by reply e-mail or by using the contact details above and then
> delete this e-mail.
> Please note that e-mail may be susceptible to data corruption,
> interception
> and unauthorised amendment.  Alchemetrics does not accept any liability
> for
> any such corruption, interception, amendment or the consequences thereof.
> **************************************************************************
> ************
> 
> 
> --
> MySQL General Mailing List
> For list archives: http://lists.mysql.com/mysql
> To unsubscribe:
> http://lists.mysql.com/[EMAIL PROTECTED]



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

Reply via email to