Current recordset does not support updating access 2016
Tools like Integrations Services (SSIS) have tons of benefits that far out weigh the alternatives.
Some additional postings and articles that you might want to look at are below that further expand on the reason to leverage ETL or help explain reasoning and purposes: In working on a business intelligence project a common situation you will find yourself in is having to come up with a cumulative value (running value) calculation.
In this package we first use an Execute SQL Task to clear out the data in our destination table using the truncate table logic that was included in the T-SQL example.
Next we use a Data Flow Task to transfer the data from our source and load it into our target (destination) table that we will use in our data warehouse.
If either the source or target have additional columns added that is okay.
We will be alerted of this, but it will not break our process.
The other item that I want to include and point out in this example is the use of ‘SELECT * FROM’ and its impact.
In all of these examples we will be leveraging a database view for our source and this is simply used to add an additional layer of abstraction and reference point instead of using the underlying table directly. In the data warehouse we need to load Employee information to reference.
The new column is setup in the view and saved with the following highlighted logic below added. Process breaks with message [Execute SQL Task] Error: Executing the query “usp_DWRefresh” failed with the following error: “Column name or number of supplied values does not match table definition.”.
Possible failure reasons: Problems with the query, “Result Set” property not set correctly, parameters not set correctly, or connection not established correctly.[Execute SQL Task] Error: Executing the query ” TRUNCATE TABLE DWEmployee; INSERT INT…” failed with the following error: “Column name or number of supplied values does not match table definition.”.
OLE DB Source setup: OLE DB Destination setup: One thing to point out here is that even though we are using the ‘SELECT * FROM’ setup for the source the column names are still being set and mapped directly to the destination table.