J
J Sedoff
I have several queries (MB59, MB59 Skimming, MB59 RD, and MB59 Obsoletes)
that are retrieving the same data (MB59 data), but are applying different
filters so that altogether they retrieve all the data (qryMB59 has all the
leftover data not included in the others).
I have a report (MB59 report) that brings all these queries together in an
organized manner. It takes a long time for the report to compile, so I was
wondering: Is it more computer-efficient/faster to have them run through a
common query (say: MB59-all) to mass collect the data and apply some basic
filters, then run each of those queries separately to apply their specific
filters; or is it better to have each of them run all the data and apply the
needed filters.
In other words, is it better to have one large general query that does most
of the work and is then referenced several times by several specialized
queries, or is it better to have several semi-related specialized queries
that each do all the work?
Thanks for the help,
Jim
that are retrieving the same data (MB59 data), but are applying different
filters so that altogether they retrieve all the data (qryMB59 has all the
leftover data not included in the others).
I have a report (MB59 report) that brings all these queries together in an
organized manner. It takes a long time for the report to compile, so I was
wondering: Is it more computer-efficient/faster to have them run through a
common query (say: MB59-all) to mass collect the data and apply some basic
filters, then run each of those queries separately to apply their specific
filters; or is it better to have each of them run all the data and apply the
needed filters.
In other words, is it better to have one large general query that does most
of the work and is then referenced several times by several specialized
queries, or is it better to have several semi-related specialized queries
that each do all the work?
Thanks for the help,
Jim