J
johnb
I have 2 tables of data. This weeks data and last weeks
data. Both have the same number of columns. Both will have
different number of rows. Fields to focus on are
MaterialNo, DeliveryDate and DeliveryQuantity.
Tables are not normalised. The relationship is many-to-
many. Tables can have upto 10,000 rows. Many instances of
the principal fields exist in each table. Concatinating
the 3 fields produces a unique key.
I need to know where changes have ocurred in DeliveryDate
and/or DeliveryQuantity.
However. Comparing row x in this weeks table with row x in
last weeks can produce wrong results due to a record
missing in either week
I am unsure how to approach this problem. I tried using 2
arrays but got bogged down in the VBA details. Comments
please
data. Both have the same number of columns. Both will have
different number of rows. Fields to focus on are
MaterialNo, DeliveryDate and DeliveryQuantity.
Tables are not normalised. The relationship is many-to-
many. Tables can have upto 10,000 rows. Many instances of
the principal fields exist in each table. Concatinating
the 3 fields produces a unique key.
I need to know where changes have ocurred in DeliveryDate
and/or DeliveryQuantity.
However. Comparing row x in this weeks table with row x in
last weeks can produce wrong results due to a record
missing in either week
I am unsure how to approach this problem. I tried using 2
arrays but got bogged down in the VBA details. Comments
please