There are two ways to create a filter for a dataset:

• Set the Filter property. Filter is especially useful for creating and applying filters at runtime.
• Write an OnFilterRecord event handler for simple or complex filter conditions. With OnFilterRecord, you specify filter conditions at design time. Unlike the Filter property, which is restricted to a single string containing filter logic, an OnFilterRecord event can take advantage of branching and looping logic to create complex, multi-level filter conditions.

The main advantage to creating filters using the Filter property is that your application can create, change, and apply filters dynamically, (for example, in response to user input). Its main disadvantages are that filter conditions must be expressible in a single text string, cannot make use of branching and looping constructs, and cannot test or compare its values against values not already in the dataset. 

The strengths of the OnFilterRecord event are that a filter can be complex and variable, can be based on multiple lines of code that use branching and looping constructs, and can test dataset values against values outside the dataset, such as the text in an edit box. The main weakness of using OnFilterRecord is that you set the filter at design time and it cannot be modified in response to user input. (You can, however, create several filter handlers and switch among them in response to general application conditions.) 

The following sections describe how to create filters using the Filter property and the OnFilterRecord event handler.