I haven’t had time to progress the Outlook Contact Export, so here is a minor digression.
Suppose that I have two Access tables each containing records that represent the same entities – Orders, say. These two sets of equivalent records come from different sources: maybe Orders as received, and Orders as dispatched. I want to cross-check certain fields for equivalent records – say, that order-quantity received and order-quantity dispatched are the same – and flag any mismatches.
Here are two tables:
I want to check the equivalence of columns B and C. There are differences in B/C for the second and fourth records, and an extra record in the second table.
Note that the IDs are counters, but are not necessarily the same, so I can not do a Join of the two tables. The tables are assumed to represent equivalent sets of records – maybe for the same period – so they could be queries on underlying cumulative tables.
It’s not apparent to me how you could do this using queries. If we could join the tables together, then for numerical values I suppose that we could subtract one field from the other, and check for non-zero differences.
However, a more generic solution is to suck the relevant columns into two Recordsets, using a simple SELECT query as the Source, and then iterate through records and fields, comparing values. Differences can be logged in some way:
- If we expect only rare differences, then we could build up a log String, and display this at the end of the check:
- If we expect substantial differences, we could base an output Recordset on a temporary table, and write message-records into it.
I’ve adopted the first approach, for simplicity.