The simplest kind of data type validation verifies that the individual characters provided through user input are consistent with the expected characters of one or more known primitive data types; as defined in a programming language or data storage and retrieval mechanism as well as the specification of the following primitive data types: 1) integer; 2) float (decimal); or 3) string.For example, many database systems allow the specification of the following l (plus, minus, and parentheses).
In evaluating the basics of data validation, generalizations can be made regarding the different types of validation, according to the scope, complexity, and purpose of the various validation operations to be carried out.
For example: Data type validation is customarily carried out on one or more simple data fields.
This is not always desired (for more complicated data, it will probably be much easier to take a look, correct that one typo and continue with the rest of the form), so my preference is actually to mark the field so that the user knows which field needs to be corrected, and have the validation script not report a validation error back to the field: Using this method has implications on the form submission process: The form no longer can verify that the data is correct, so the submission function needs to do another round of validation to see if any of the required fields are not correct (one way to do that is to test all relevant fields to see if the text color is using the error color, or we can use global variables to store the validation state).
Another thing I like to do is to display the validation error message on the form in an otherwise hidden field: The problem with our last solution is that if the user saves a partially filled form, and picks it up at a later time, that error message that popped up is long gone, and the only indication that there is something wrong with the form is the modified field color.
So, if the user enters ‘01234’ we should see an error message that would instruct the user about what type of data is valid for this field.
To start, we create a text field and bring up the properties dialog for the field.So, having a text field contain that error message might be a good idea.There are other ways to highlight the field in question besides changing the text color, the border color or the fill color could be changed instead, or in addition, just make sure that you are not making the form impossible to read.Then we select the “Validate” tab to see the validation options: The default is that the field will not get validated.For numeric fields, there is a convenient way to validate a value range, but we want to select to run a custom validation script.After the “Edit” button is clicked, a new window will open that allows us to edit the new script: This script also includes a check for an empty string, so that the user can wipe out a wrong string and start from scratch.Tags: Adult Dating, affair dating, sex dating