![]() ![]() To validate multiple values in a single row You can implement more extensive customization by replacing the CellStyle used by the column. This is required because there is currently no dedicated error template for cells. Note the use of a trigger to determine whether there is a validation error. When a user enters an invalid value, the style changes the cell background color and adds a ToolTip. The following example updates the previous example by adding an error style shared by the three columns with validation rules. Because the editing controls are created at run time, you cannot use the Validation.ErrorTemplate attached property like you would with simple controls. Set the column's EditingElementStyle property to a style appropriate for the column's editing control. You can change this default validation feedback as described in the following procedure. When a user enters an invalid value (such as a non-integer in the Course ID column), a red border appears around the cell. Three of the columns specify the ExceptionValidationRule by setting the ValidatesOnExceptions property to true. The following example shows a DataGrid control with four columns bound to different properties of a business object. This is similar to validating data in simple controls, as described in Data Binding Overview. Specify one or more validation rules on the binding used with a column. The following procedures describe how to apply validation rules to DataGrid bindings and customize the visual feedback. You can also provide customized visual feedback for validation errors, or use the default visual feedback that the DataGrid control provides. With row-level validation, you validate entire data objects when a user commits changes to a row. With cell-level validation, you validate individual properties of a bound data object when a user updates a value.
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