Active Oldest Votes. Execute vSqls Next End Sub You could expand on placing some error msg if the one statement don't work, such as if err. Improve this answer. Fionnuala Albert D. Kallal Albert D. Kallal Why use a variable of type Variant? Just so you can skip using a counter an UBound? When I first saw this, I thought it looked like code from a non-Access refugee, and then see it's from you, Albert. I'd never do it this way.
I'm splitting strings, so the array should be of type string, in my opinion. David W. Fenton -- "Why use a variable of type Variant? But just a matter of taste, no biggie. Yes for each means I don't use ubound command.
And, also in place of "Next I" I can use: "Next" so I can change the variable used but and less other places in code effected if you re-name the var used. I use ByRef when it's appropriate and ByVal when it's appropriate. Email Required, but never shown. The Overflow Blog. Podcast Making Agile work for data science. Stack Gives Back Featured on Meta. New post summary designs on greatest hits now, everywhere else eventually. Visit chat. Related Hot Network Questions. The three queries below produce the same result, but none of them succeeded due to the Access error "Operation must use an updatable query".
Query 1: This is the most common way to do multiple table update in Access. CustomerID set a. CustomerID, x. CustomerID as b on a. It's less efficient than using inner join because join can take advantage of the index on the join column if it exists. SalesDate The solution: To fix the problem, I had to split my original update query into two queries. The first one is a make-table query and the other one is a cross-table update query.
This query uses the temporary table we created in Step 1 to update the local table. SalesDate To sum up, when we do multiple table updates in MS Access, first we need to make sure that the source table contains unique data in the joined column s.
This may be a primary key column or a column with unique index, or columns with combined uniqueness also known as composite unique index. Uniqueness prohibits duplicated values in the column s.
Secondly, if the source table is a linked table, we can resort to a two-step process. Building a temporary table in Access that contains the data obtained from the linked table, then do the update locally by using the temporary table as the source table because the temporary table contains the qualified data from the linked table.
We then update the matching data in the local target table by using a join with the temporary table. Happy Updating! The updated value can be: The same value for all records A value from another field in that table updates the field based on a field's value in its own record A value from a field in a linked table An expression based on values in the table or linked tables multiple fields can be used to calculate the new value A VBA function value which can include field values as its parameters Your own VBA user defined function that may or may not include field values as parameters.
Only records that satisfy the expression are updated. Update Query Examples. Update Query Fails to Run. This can be due to several reasons: The database file is set to ReadOnly. None of the data can be modified. Change this at the Windows level. If the database is on a CD, copy it to your hard disk.
If you're using Access workgroup security, you may not have rights to edit the data. In this case, login as the administrator or with a user name and password that gives you the appropriate rights.
If the tables is linked, you may not have rights to modify the data on the backend data source. Assuming you can edit your table, your query may fail and display this error message when you run it: Operation must use an updatable query Error Operation Failed If so, check out our paper on Error Operation must use an updatable query: Dealing with Non-Updateable Queries and the Use of Temporary Tables in Microsoft Access which discusses some of the issues and workarounds.
Hope this helps! News Features. Microsoft Access Query Center. Retrieving Data. Union All SQL. Action Queries. Statistical Analysis. Source Code Library. SQL Server Upsizing. Additional Resources.
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