Row cannot be located for updating sql server
Row cannot be located for updating sql server - chet dating system pdf
From their point of view, when users delete a row in the grid, I would wager that 99 percent of them intend to delete just the product—not both the product and the supplier.Fortunately, you can achieve this result using another dynamic property—in this case, the Unique Table dynamic property.
This approach is particularly useful for highlighting records in different colors in a grid or showing their status on a status bar.
One such status is fg Pending Records, which includes all records that have been modified but not yet applied. As such, the attitude is that all users can edit any record at any time, and you deal with the consequences of conflicts between different users' updates to the same records when the changes are saved.
So, to allow the user to look through all the changes they have made so far, you need only execute two lines: Naturally, the result set will now include the records that have been deleted. Thus, conflicts are considered an exception to the rule.
You can specify that deletes refer to just the Products table and not to Suppliers using the following line of code: When you use batch updates, any changes you make to your records can be made in memory; later, the entire "batch" of changes can be submitted as one operation.
This approach offers some performance benefits, but there are more practical reasons why this technology is a necessity: The user might not be connected to the database at the time they make their updates.
Updates Pending then Can Close := (Message Dlg('Updates are still pending' #13 'Close anyway? In this section, we'll look at optimistic locking, not only because it is the preferred locking type for medium- to high-throughput transactions, but also because it is the locking scheme employed by batch updates.
', mt Confirmation, [mb Yes, mb No], 0) = mr Yes); end; filters based on the status of the record. Optimistic locking assumes there is a low probability that users will attempt to update the same records at the same time and that a conflict is unlikely.For example, the Join Data example is built around an ADODataset component that uses the previous SQL join.If you run it, you can edit one of the fields and save the changes (by moving off the record).For example, should the insert of a row into the previous join result in a new product and also a new supplier, or just a new product?The Client Data Set/Provider architecture allows you to specify a primary update table (and advanced features actually not covered in the book) and also customize the updates' SQL, as we partially saw in Chapter 14 and we'll further explore in Chapter 16, "Multitier Data Snap Applications." ADO supports an equivalent to cached updates called batch updates, which are similar to the BDE approach.No error occurs, because the update has been applied successfully.