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I'm trying to get my head around mutable vs immutable objects. Using mutable objects gets a lot of bad press (e.g. returning an array of strings from a method) but I'm having trouble understanding what the negative impacts are of this. What are the best practices around using mutable objects? Should you avoid them whenever possible?

+2  A: 

You should specify what language you're talking about. For low-level languages like C or C++, I prefer to use mutable objects to conserve space and reduce memory churn. In higher-level languages, immutable objects make it easier to reason about the behavior of the code (especially multi-threaded code) because there's no "spooky action at a distance".

John Millikin
+25  A: 

Well, there are a couple aspects to this. Number one, mutable objects without reference-identity can cause bugs at odd times. For example, consider a Person bean with an value-based equals method:

Map<Person, String> map = ...
Person p = new Person();
map.put(p, "Hey, there!");

p.setName("Daniel");
map.get(p);       // => null

The Person instance gets "lost" in the map when used as a key because it's hashCode and equality were based upon mutable values. Those values changed outside the map and all of the hashing became obsolete. Theorists like to harp on this point, but in practice I haven't found it to be too much of an issue.

Another aspect is the logical "reasonability" of your code. This is a hard term to define, encompassing everything from readability to flow. Generically, you should be able to look at a piece of code and easily understand what it does. But more important than that, you should be able to convince yourself that it does what it does correctly. When objects can change independently across different code "domains", it sometimes becomes difficult to keep track of what is where and why ("spooky action at a distance"). This is a more difficult concept to exemplify, but it's something that is often faced in larger, more complex architectures.

Finally, mutable objects are killer in concurrent situations. Whenever you access a mutable object from separate threads, you have to deal with locking. This reduces throughput and makes your code dramatically more difficult to maintain. A sufficiently complicated system blows this problem so far out of proportion that it becomes nearly impossible to maintain (even for concurrency experts).

Immutable objects (and more particularly, immutable collections) avoid all of these problems. Once you get your mind around how they work, your code will develop into something which is easier to read, easier to maintain and less likely to fail in odd and unpredictable ways. Immutable objects are even easier to test, due not only to their easy mockability, but also the code patterns they tend to enforce. In short, they're good practice all around!

With that said, I'm hardly a zealot in this matter. Some problems just don't model nicely when everything is immutable. But I do think that you should try to push as much of your code in that direction as possible, assuming of course that you're using a language which makes this a tenable opinion (C/C++ makes this very difficult, as does Java). In short: the advantages depend somewhat on your problem, but I would tend to prefer immutability.

Daniel Spiewak
Great response. One small question however: doesn't C++ have good support for immutability? Isn't the [const-correctness](http://en.wikipedia.org/wiki/Const-correctness) feature sufficient?
Dimitri C.
+1  A: 

A mutable object is simply an object that can be modified after it's created/instantiated, vs an immutable object that cannot be modified (see the Wikipedia page on the subject). An example of this in a programming language is Pythons lists and tuples. Lists can be modified (e.g., new items can be added after it's created) whereas tuples cannot.

I don't really think there's a clearcut answer as to which one is better for all situations. They both have their places.

wbowers
+3  A: 

Immutable objects are a very powerful concept. They take away a lot of the burden of trying to keep objects/variables consistent for all clients.

You can use them for low level, non-polymorphic objects - like a CPoint class - that are used mostly with value semantics.

Or you can use them for high level, polymorphic interfaces - like an IFunction representing a mathematical function - that is used exclusively with object semantics.

Greatest advantage : immutability + object semantics + smart pointers renders object ownership a moot point. Implicitly this also means deterministic behaviour in the presence of concurrency.

Disadvantage : when used with objects containing lots of data, memory consumption can become an issue. A solution to this could be to keep operations on an object symbolic, and do lazy evaluation. However, this can then lead to chains of symbolic calculations, that may negatively influence performance, if the interface is not designed to accomodate symbolic operations. Something to definitely avoid in this case is returning huge chunks of memory from a method. In combination with chained symbolic operations this could lead to massive memory consumption and performance degradation.

So immutable objects are definitely my primary way of thinking about object oriented design, but they are not a dogma. They solve a lot of problems for clients of objects, but also create many, especially for the implementers.

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