B
Bruce
Sylvain,
I did remove the [MM 04 cond] table. I originally used this with the theory
that each record in this table did not have any fields where [Check] =0. The
thought was that if the table is smaller 263 k records versus 1.3 gig in the
main table [MM 05 mst date] ( [MM 04 cond] is a condensed version of [MM 05
mst date].
What I ultimately ended up doing was Duplicating the [MM 05 mst date] table
in my sub query, and creating a temporary table with limited amounts of
records from the main table. This greatly improved the response times and did
not produce any temporary disk errors.
--
Bruce
I did remove the [MM 04 cond] table. I originally used this with the theory
that each record in this table did not have any fields where [Check] =0. The
thought was that if the table is smaller 263 k records versus 1.3 gig in the
main table [MM 05 mst date] ( [MM 04 cond] is a condensed version of [MM 05
mst date].
What I ultimately ended up doing was Duplicating the [MM 05 mst date] table
in my sub query, and creating a temporary table with limited amounts of
records from the main table. This greatly improved the response times and did
not produce any temporary disk errors.
--
Bruce
Sylvain Lafontaine said:Glad to hear that your query is not running correctly.
However, if we take a look at your speed problem, have you tried the other
suggestions like removing the [MM 04 cond] table table in the FROM clause of
the main query as suggested by John S. and removing the [MM 05 mst
date].[EquipmentID] condition in the Order By clause of the subquery or
trying to split your append query into two append queries?