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The , that DB direct methods were those that accepts a list of scalar values as input parameters (rather than a strongly-typed Data Row or Data Table instance).When using optimistic concurrency, the DB direct method overloads that accept Data Rows and Data Tables rather than scalar values) must be changed as well.Data Bind(); //If you do not want to bind data first simply bind an empty list like so: /* your Gridview.For a web application that allows multiple users to edit data, there is the risk that two users may be editing the same data at the same time.Figure 1: When Two Users Simultaneously Update a Record There s Potential for One User 's Changes to Overwrite the Other 's (Click to view full-size image) Similarly, when two users are visiting a page, one user might be in the midst of updating a record when it is deleted by another user.Or, between when a user loads a page and when they click the Delete button, another user may have modified the contents of that record.For instance: So the questions is how do you get the database table field name by index via code behind?I too have been searching for this and all the "answers" that I've seen are not the answers I think some of us are really looking for.
Both click the Edit button in the Grid View around the same time.For example, when clicking the Edit button in an editable Grid View, the record's values are read from the database and displayed in Text Boxes and other Web controls. Later, after the user makes her changes and clicks the Update button, the original values plus the new values are sent to the Business Logic Layer, and then down to the Data Access Layer.The Data Access Layer must issue a SQL statement that will only update the record if the original values that the user started editing are identical to the values still in the database. Figure 2: For the Update or Delete to Succeed, the Original Values Must Be Equal to the Current Database Values (Click to view full-size image) There are various approaches to implementing optimistic concurrency (see Peter A.For web applications that allow multiple users to update or delete data, however, there's the potential for one user's modifications to clash with another concurrent user's.Without any concurrency policy in place, when two users are simultaneously editing a single record, the user who commits her changes last will override the changes made by the first.
In this tutorial we'll implement optimistic concurrency control to handle this risk.