C++ header dependency tricks

Keeping header file dependencies to a minimum in C++ is always a good idea. There’s a great book on the subject — John Lakos’s Large Scale C++ Design — but there’s plenty of little tricks that aren’t mentioned. In this article I’m going to discuss a handy trick I’ve discovered in reducing dependencies, particularly useful for STL headers.

Take for example, this header file, which declares a class for averaging integers:

// Averager.h
#include <list>

class Averager
{
public:
    Averager();
    // Add a single int to the running average.
    void Add(int);
    // Add a list of ints to the running average.
    void Add(const std::list<int>&);
    // Get the current average.
    int GetAverage() const;
private:
    int mNumAdded;  // number of ints added
    int mTotal;     // running total so far
};

As ever, this is a fairly contrived example. Typically you’d imagine applications using this class via the Add(int) method, then extract the average through GetAverage. For STL convenience, there’s a method accepting a std::list of integers too.

So what’s wrong with this code? Well, in some respects, nothing. Like Lakos recommends, the header file is self-contained — it will compile by itself as it includes the <list> header. So how to improve this?

Well, let’s look at the include graph (courtesy of IncludeManager):

[A saved graph from IncludeManager showing the inclusion graph on the code in this article]
Good grief, all this for one include?
The top box is the original header, the rest is what <list> brings in.

What a mess! Anything wanting to call Add(const std::list<int>&) includes "Averager.h" and gets <list> included. Fair enough. But what about things that just want to use the simpler add method Add(int)? They don’t need <list> but have it thrust upon them along with all its dependencies, the cost of parsing and compiling the unused std::list code. This is far from the C idea of “you only pay for what you use.”

The usual way to solve this kind of issue is by forward declaration, where you just declare the class needed in-place, and don’t define it. C++ allows you to refer to a declared (but not defined) class as long as you don’t try and find its size, or call any functions within it. This means you don’t need the #include <list> after all:

// NaiveAverager.h
// Forward declare std::list.
namespace std { template<typename T> class list; }

class Averager
{
    //...as before...
};

But this doesn’t won’t work! std::list — being an STL class — isn’t just templated on the type that it holds. It also has an allocator parameter which controls how the memory needed is allocated. This second parameter is defaulted to allocator<T>, and forward declaring this gets more and more complex. Not to mention, std::list isn’t necessarily as simply defined as even that. In Visual Studio 2005’s implementation, std::list publicly inherits from _List_val<_Ty, _Ax>, and on GCC 4.2.3 it uses protected inheritance from _List_base<_Tp, _Alloc>.

Does this mean that forward declaration isn’t possible?

Not necessarily. There’s a little trick to getting around this issue; though it’s not without its drawbacks. If we define our own non-templated list class and use that instead, we wouldn’t have these issues with predeclaration. But implementing our own list class isn’t easy, and we don’t get all the benefits of std::list’s implementation. Well, so you might think — but how about something like this, in MyList.h:

// MyList.h
#include <list>
template<typename T>
class MyList : public std::list<T> {};

And then:

// NewAverager.h
// Forward declare a template list.
template<class T> class MyList;

class Averager
{
public:
    Averager();
    // Add a single int to the running average.
    void Add(int);
    // Add a list of ints to the running average.
    void Add(const MyList<int>&);
    // Get the current average.
    int GetAverage() const;
private:
    int mNumAdded;  // number of ints added
    int mTotal;     // running total so far
};

Now we have the situation where clients of the Averager class who use the std::list function must include the "MyList.h" header, and as such have to suffer the dependencies and compile time of <list>. However, if the client just needs the single integer Add(int), then they just include "NewAverager.h" and don’t get <list> at all. While this isn’t the traditional façade mentioned in the GoF’s book, the name “façade” seems too good a fit, so that’s what I call this technique.

Of course, nothing’s perfect. The main drawback of this approach is that in order to use any constructors of the base class you need to explicitly re-implement them (usually just passing parameters through to the base implementation) in your façade class.

But how much difference does this really make? Of course, this depends on your code and its other dependencies. Using IncludeManager’s project view you can see the cost of the files:

[An IncludeManager screenshot showing the relative compilation costs of the files in this article]
Project details for my example project.
listclient.cpp uses the std::list functionality, simpleclient.cpp just uses Add(int).

The “PP Tokens” column is the number of post preprocessing tokens in a file, and “PP Total Tokens” takes into account all the #included files’ tokens too. This gives a rough guide to compile-time complexity. As you can see, listclient.cpp contains 47 tokens in itself, but the total cost of its inclusion is some 68,000 tokens. simpleclient.cpp has around 33 tokens in itself, and its total cost is only 79 — rather fewer tokens than listclient.cpp. While this is a contrived example, you can get some flavour of the improvements that can be made with this idea.

We’ve this technique to great effect in ProFactor’s code, specifically for strings and a few key object lists (which façade std::list<Type>). Of course, best of all it sticks to that most basic of C tenets — you should only pay for what you actually use.

The source code used here is available in 7-Zip format. Note there’s no actual implementation of Averager anywhere.

Filed under: Coding
Posted at 21:45:00 GMT on 10th December 2007.

About Matt Godbolt

Matt Godbolt is a C++ developer living in Chicago. Follow him on Mastodon or Bluesky.