A regular expression is a symbolic representation of a pattern of text. Regular expressions are widely used in UNIX text search facilities such as the grep command.

For example, the regular expression

[A-Z0-9._%-]++@[A-Z0-9._%-]+\.[A-Z]{2,4}

matches [email protected] and many other email addresses.

Applications

• Parse infer rules (Rule-Parse-Infer rule type) use regular expressions to match text patterns in a supplied input string.
• Transform rules (Rule-Parse-Transform rule type) convert regular expressions into an internal compiled Java format.
• The Search/Replace a String wizard can find and match regular expressions anywhere in all rules of a RuleSet, and substitute another text string. PROJ-1292
• Your application can include edit validate rules (Rule-Edit-Validate rule type) that use regular expression pattern matching to validate user inputs. See Pega Developer Network article PRKB-24112 How to use regular expressions to validate user input.
• Regular expression rules (Rule-SecurityVA-Regex rule type) support the Rule Security Analyzer. V6.1SP2

Notes

Support of these facilities is based on the Sun Microsystems implementation of regular expressions (java.util.regex.Pattern).

	free text rules
	About Parse Infer rules About Parse Transform rules About the Regular Expression tester About Edit Validate rules About the Rule Security Analyzer About the Search/Replace a String wizard

Definitions — R