Hot married canadian women on free cams Updating a row in datatable

For more information, see Merging Data Set Contents and Handling Data Adapter Events.

A typical scenario is, say you have to loop through a Data Table rows and do some calculations on the rows and delete some rows depending on the condition. We know that the Data Table data type can contains records in table structure.encounters a change to a Data Row, it uses the Insert Command, Update Command, or Delete Command to process the change. Rows(0) category Row("Category Name") = "New Beverages" adapter. Write Line("Rows after update.") Dim row As Data Row For Each row In category Table. Write Line(": ", row(0), row(1)) Next End Using End Sub either by returning the auto-increment value as an output parameter of a stored procedure and mapping that to a column in a table, by returning the auto-increment value in the first row of a result set returned by a stored procedure or SQL statement, or by using the are sent to the data source is important. This allows you to maximize the performance of your ADO. For example, if a primary key value for an existing row is updated, and a new row has been added with the new primary key value as a foreign key, it is important to process the update before the insert. By specifying a subset of rows to be updated, you can control the order in which inserts, updates, and deletes are processed. Fill(category Table) Dim category Row As Data Row = category Table.

Original Dim category Table As New Data Table adapter.

As of now, the application runs perfectly and does exactly what I need it to, but the problem comes in when a large data set is reviewed.

If I am pulling records for one day or even maybe a week, it runs at a decent pace, but once you get a month of data or more, it takes a fairly long amount of time. Is there possibly a better way that I can code this?

I can't imagine this is the optimal coding for data table update operations, but it might be.

Is this a possibility in LINQ (I'm completely new to LINQ)?

(For example, if the data source automatically creates unique primary key values, these values can be propagated back to the client application.) In either case, the returned Data Set can be merged back into the client application's original Data Set with the Merge method.