It seems that the choice to use string parsing vs. regular expressions comes up on a regular basis for me anytime a situation arises that I need part of a string, informatio
The regex can be
In some situations all of those advantages would be achieved by using a regex, in others only some are achieved (the regex is not really easy to understand for example) and in yet other situations the regex is harder to understand, obfuscates the intent, longer and hard to change.
The more of those (and possibly other) advantages I gain from the regex, the more likely I am to use them.
Possible rule of thumb: if understanding the regex would take minutes for someone who is somewhat familiar with regular expressions, then you don't want to use it (unless the "normal" code is even more convoluted ;-).
Hm ... still no simple rule-of-thumb, sorry.
When your required transformation isn't basic -- but is still conceptually simple.
no reason to pull out Regex if you're doing a straight string replacement, for example... its easier to just use the string.Replace
on the other hand, a complex rule with many conditionals or special cases that would take more than 50 characters of regex can be a nightmare to maintain later on if you don't explicitly write it out
I would think the easiest way to know when to use regular expressions and when not to, is when your string search requires an IF/THEN statement or anything resembling this or that logic, then you need something better than a simple string comparison which is where regex shines.
[W]e're evaluating a soap header's action and making decisions on that
Never use regular expressions or basic string parsing to process XML. Every language in common usage right now has perfectly good XML support. XML is a deceptively complex standard and it's unlikely your code will be correct in the sense that it will properly parse all well-formed XML input, and even it if does, you're wasting your time because (as just mentioned) every language in common usage has XML support. It is unprofessional to use regular expressions to parse XML.
To answer your question, in general the usage of regular expressions should be minimized as they're not very readable. Oftentimes you can combine string parsing and regular expressions (perhaps in a loop) to create a much simpler solution than regular expressions alone.
I would agree with what benjismith said, but want to elaborate just a bit. For very simple syntaxes, basic string parsing can work well, but so can regexes. I wouldn't call them overkill. If it works, it works - go with what you find simplest. And for moderate to intermediate string parsing, a regex is usually the way to go.
As soon as you start finding yourself needing to define a grammar however, i.e. complex string parsing, get back to using some sort of finite state machine or the likes as quickly as you can. Regexes simply don't scale well, to use the term loosely. They get complex, hard to interpret, and even incapable.
I've seen at least one project where the use of regexes kept growing and growing and soon they had trouble inserting new functionality. When it finally came time to do a new major release, they dumped all the regexes and went the route of a grammar parser.
My main guideline is to use regular expressions for throwaway code, and for user-input validation. Or when I'm trying to find a specific pattern within a big glob of text. For most other purposes, I'll write a grammar and implement a simple parser.
One important guideline (that's really hard to sidestep, though I see people try all the time) is to always use a parser in cases where the target language's grammar is recursive.
For example, consider a tiny "expression language" for evaluating parenthetized arithmetic expressions. Examples of "programs" in this language would look like this:
1 + 2
5 * (10 - 6)
((1 + 1) / (2 + 2)) / 3
A grammar is easy to write, and looks something like this:
DIGIT := ["0"-"9"]
NUMBER := (DIGIT)+
OPERATOR := ("+" | "-" | "*" | "/" )
EXPRESSION := (NUMBER | GROUP) (OPERATOR EXPRESSION)?
GROUP := "(" EXPRESSION ")"
With that grammar, you can build a recursive descent parser in a jiffy.
An equivalent regular expression is REALLY hard to write, because regular expressions don't usually have very good support for recursion.
Another good example is JSON ingestion. I've seen people try to consume JSON with regular expressions, and it's INSANE. JSON objects are recursive, so they're just begging for regular grammars and recursive descent parsers.
Hmmmmmmm... Looking at other people's responses, I think I may have answered the wrong question.
I interpreted it as "when should use use a simple regex, rather than a full-blown parser?" whereas most people seem to have interpreted the question as "when should you roll your own clumsy ad-hoc character-by-character validation scheme, rather than using a regular expression?"
Given that interpretation, my answer is: never.
Okay.... one more edit.
I'll be a little more forgiving of the roll-your-own scheme. Just... don't call it "parsing" :o)
I think a good rule of thumb is that you should only use string-matching primitives if you can implement ALL of your logic using a single predicate. Like this:
if (str.equals("DooWahDiddy")) // No problemo.
if (str.contains("destroy the earth")) // Okay.
if (str.indexOf(";") < str.length / 2) // Not bad.
Once your conditions contain multiple predicates, then you've started inventing your own ad hoc string validation language, and you should probably just man up and study some regular expressions.
if (str.startsWith("I") && str.endsWith("Widget") &&
(!str.contains("Monkey") || !str.contains("Pox"))) // Madness.
Regular expressions really aren't that hard to learn. Compared to a huuuuge full-featured language like C# with dozens of keywords, primitive types, and operators, and a standard library with thousands of classes, regular expressions are absolutely dirt simple. Most regex implementations support about a dozen or so operations (give or take).
Here's a great reference:
http://www.regular-expressions.info/
PS: As a bonus, if you ever do want to learn about writing your own parsers (with lex/yacc, ANTLR, JavaCC, or other similar tools), learning regular expressions is a great preparation, because parser-generator tools use many of the same principles.