sqlite3 performance problems only in python

[David Stanek]

On Thu, Jul 23, 2009 at 9:02 AM, Stef Mientki<stef.mientki at gmail.com> wrote:
>
> btw, I don't know if it's of any importance, the SQL-statement I perform is
> select OPNAMEN.*, NAME, NAME_, SCORES.SCORE, PATIENT.*
>  from OPNAMEN
>   inner join POID_VLID          on OPNAMEN.POID            = POID_VLID.POID
>   inner join VRAAGLST           on VRAAGLST.VLID           = POID_VLID.VLID
>   inner join VLID_SSID          on VRAAGLST.VLID           = VLID_SSID.VLID
>   inner join SUBSCHAAL_GEGEVENS on SUBSCHAAL_GEGEVENS.SSID = VLID_SSID.SSID
>   inner join POID_SSID_SCID     on ( OPNAMEN.POID            =
> POID_SSID_SCID.POID ) and
>                                    ( SUBSCHAAL_GEGEVENS.SSID =
> POID_SSID_SCID.SSID )
>   inner join SCORES             on SCORES.SCID             =
> POID_SSID_SCID.SCID
>   inner join PID_POID           on OPNAMEN.POID            = PID_POID.POID
>   inner join PATIENT            on PATIENT.PID             = PID_POID.PID
>  where substr ( lower( NAME) , 1, 6)  = 'cis20r'
>   and lower ( NAME_ ) = 'fatigue'
>   and TEST_COUNT in (3,4)
>   and DATETIME > 39814.0
>   and SCORE < 30

Warning: I suck at SQL and hate it with a passion...

By using lower() on the left side of the where expressions I believe
that you are table scanning. So it is not the size of the data
returned, but the size of the data that needs to be scanned.

-- 
David
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