Easily Use Regular Expressions in Your PostgreSQL SQL Queries

PostgreSQL Regexp Operator and Functions

PostgreSQL versions 7.4 and later use the "Advanced Regular Expressions" flavor originally developed for the Tcl scripting language. You can use the tilde operator ~ to filter columns using a regular expression. The substring function extracts the part of a column that matches a regex, while the regexp_replace function replaces that part with another string. Together, these three allow you to create some very powerful SQL queries with very little code.

See How Easy Database Queries with Regexes Can Be

First, use RegexBuddy to define a regex or retrieve a regexp saved in a RegexBuddy library. Rely on RegexBuddy's clear regex analysis, which is constantly updated as you build the pattern, rather than dealing with the cryptic regex syntax on your own. Detailed help on that syntax is always only a click away.

If you copied a regex written for another programming language or database, simply paste it into RegexBuddy, select the original application, and then convert the regex to PostgreSQL.

If you created a new regular expression, test and debug it in RegexBuddy before using it in your PostgreSQL queries. Test each regex in RegexBuddy's safe sandbox without risking precious data. Quickly apply the regex to a wide variety of input and sample data, without having to produce that input through your database.

Finally, let RegexBuddy generate a source code snippet that you can copy and paste directly into whichever database application you use. Just choose what you want to use the regex for, and a fully functional code snippet is ready. You can change the names of tables and columns to suit your naming style or the current situation, which RegexBuddy automatically remembers.

Don't bother trying to remember PostgreSQL's specific regexp syntax. And don't worry about properly escaping backslashes and other characters. Just tell RegexBuddy what you want to do, and you will get the proper PostgreSQL code straight away.

Filtering database rows using regular expressions in PostgreSQL

Let RegexBuddy Make Regex Easy for You