Using regular expressions
In typical search and replace operations, you must provide the exact text you are looking for. This technique may be sufficient for simple search and replace tasks in static text, but its lack of flexibility makes searching dynamic text difficult or even impossible.
Using regular expressions, you can:
Test a pattern in a string. For example, you can test an input string to see if a phone number pattern or a credit card number pattern exists in the string. This is called data validity verification.
Replacement text. You can use a regular expression to identify specific text in a document, which can then be deleted entirely or replaced with other text.
Extracts a substring from a string based on a pattern match. Can be used to find specific words in a text or input field.
For example, if you need to search the entire
web
site to remove some outdated material and replace some HTML
formatting tag, you can use regular expressions to test each file to see if the material you are looking for or
HTML
formatting tag exists in the file. Using this method, you can narrow down the affected files to those that contain the material that you want to delete or change. Regular expressions can then be used to remove obsolete material, and finally, regular expressions can be used again to find and replace those tags that need to be replaced.
Another example of how regular expressions can be useful is in a language whose string-handling capabilities were not yet known. VBScript
is a subset of
Visual
Basic
and has rich string processing functions. Similar to
C
Visual
Basic
Scripting
Edition
Does not have this ability. Regular expressions bring string processing capabilities to
Visual
Basic
Scripting
Edition
significantly improved. However, it may still be more efficient to use regular expressions in
VBScript
, which allows multiple string operations to be performed in a single expression.