# 2. Package concepts

Before diving into the details of writing packages it helps to understand a bit about packages in the Haskell world and the particular approach that Cabal takes.

## 2.1. The point of packages

Packages are a mechanism for organising and distributing code. Packages are particularly suited for “programming in the large”, that is building big systems by using and re-using code written by different people at different times.

People organise code into packages based on functionality and dependencies. Social factors are also important: most packages have a single author, or a relatively small team of authors.

Packages are also used for distribution: the idea is that a package can be created in one place and be moved to a different computer and be usable in that different environment. There are a surprising number of details that have to be got right for this to work, and a good package system helps to simplify this process and make it reliable.

Packages come in two main flavours: libraries of reusable code, and complete programs. Libraries present a code interface, an API, while programs can be run directly. In the Haskell world, library packages expose a set of Haskell modules as their public interface. Cabal packages can contain a library or executables or both.

Some programming languages have packages as a builtin language concept. For example in Java, a package provides a local namespace for types and other definitions. In the Haskell world, packages are not a part of the language itself. Haskell programs consist of a number of modules, and packages just provide a way to partition the modules into sets of related functionality. Thus the choice of module names in Haskell is still important, even when using packages.

## 2.2. Package names and versions

All packages have a name, e.g. “HUnit”. Package names are assumed to be unique. Cabal package names may contain letters, numbers and hyphens, but not spaces and may also not contain a hyphened section consisting of only numbers. The namespace for Cabal packages is flat, not hierarchical.

Packages also have a version, e.g “1.1”. This matches the typical way in which packages are developed. Strictly speaking, each version of a package is independent, but usually they are very similar. Cabal package versions follow the conventional numeric style, consisting of a sequence of digits such as “1.0.1” or “2.0”. There are a range of common conventions for “versioning” packages, that is giving some meaning to the version number in terms of changes in the package, such as e.g. SemVer; however, for packages intended to be distributed via Hackage Haskell’s Package Versioning Policy applies (see also the PVP/SemVer FAQ section).

The combination of package name and version is called the package ID and is written with a hyphen to separate the name and version, e.g. “HUnit-1.1”.

For Cabal packages, the combination of the package name and version uniquely identifies each package. Or to put it another way: two packages with the same name and version are considered to be the same.

Strictly speaking, the package ID only identifies each Cabal source package; the same Cabal source package can be configured and built in different ways. There is a separate installed package ID that uniquely identifies each installed package instance. Most of the time however, users need not be aware of this detail.

## 2.3. Kinds of package: Cabal vs GHC vs system

It can be slightly confusing at first because there are various different notions of package floating around. Fortunately the details are not very complicated.

Cabal packages

  Cabal packages are really source packages. That is they contain Haskell (and sometimes C) source code.

  Cabal packages can be compiled to produce GHC packages. They can also be translated into operating system packages.

GHC packages

  This is GHC’s view on packages. GHC only cares about library packages, not executables. Library packages have to be registered with GHC for them to be available in GHCi or to be used when compiling other programs or packages.

  The low-level tool `ghc-pkg` is used to register GHC packages and to get information on what packages are currently registered.

  You never need to make GHC packages manually. When you build and install a Cabal package containing a library then it gets registered with GHC automatically.

  Haskell implementations other than GHC have essentially the same concept of registered packages. For the most part, Cabal hides the slight differences.

Operating system packages

  On operating systems like Linux and Mac OS X, the system has a specific notion of a package and there are tools for installing and managing packages.

  The Cabal package format is designed to allow Cabal packages to be translated, mostly-automatically, into operating system packages. They are usually translated 1:1, that is a single Cabal package becomes a single system package.

  It is also possible to make Windows installers from Cabal packages, though this is typically done for a program together with all of its library dependencies, rather than packaging each library separately.

## 2.4. Unit of distribution

The Cabal package is the unit of distribution. This means that each Cabal package can be distributed on its own, in source or binary form. There may be dependencies between packages, but there is usually a degree of flexibility in which versions of packages can work together so distributing them independently makes sense.

It is perhaps easiest to see what being “the unit of distribution” means by contrast to an alternative approach. Many projects are made up of several interdependent packages and during development these might all be kept under one common directory tree and be built and tested together. When it comes to distribution however, rather than distributing them all together in a single tarball, it is required that they each be distributed independently in their own tarballs.

Cabal’s approach is to say that if you can specify a dependency on a package then that package should be able to be distributed independently. Or to put it the other way round, if you want to distribute it as a single unit, then it should be a single package.

## 2.5. Explicit dependencies and automatic package management

Cabal takes the approach that all packages dependencies are specified explicitly and specified in a declarative way. The point is to enable automatic package management. This means tools like `cabal` can resolve dependencies and install a package plus all of its dependencies automatically. Alternatively, it is possible to mechanically (or mostly mechanically) translate Cabal packages into system packages and let the system package manager install dependencies automatically.

It is important to track dependencies accurately so that packages can reliably be moved from one system to another system and still be able to build it there. Cabal is therefore relatively strict about specifying dependencies. For example Cabal’s default build system will not even let code build if it tries to import a module from a package that isn’t listed in the `.cabal` file, even if that package is actually installed. This helps to ensure that there are no “untracked dependencies” that could cause the code to fail to build on some other system.

The explicit dependency approach is in contrast to the traditional “./configure” approach where instead of specifying dependencies declaratively, the `./configure` script checks if the dependencies are present on the system. Some manual work is required to transform a `./configure` based package into a Linux distribution package (or similar). This conversion work is usually done by people other than the package author(s). The practical effect of this is that only the most popular packages will benefit from automatic package management. Instead, Cabal forces the original author to specify the dependencies but the advantage is that every package can benefit from automatic package management.

The “./configure” approach tends to encourage packages that adapt themselves to the environment in which they are built, for example by disabling optional features so that they can continue to work when a particular dependency is not available. This approach makes sense in a world where installing additional dependencies is a tiresome manual process and so minimising dependencies is important. The automatic package management view is that packages should just declare what they need and the package manager will take responsibility for ensuring that all the dependencies are installed.

Sometimes of course optional features and optional dependencies do make sense. Cabal packages can have optional features and varying dependencies. These conditional dependencies are still specified in a declarative way however and remain compatible with automatic package management. The need to remain compatible with automatic package management means that Cabal’s conditional dependencies system is a bit less flexible than with the “./configure” approach.

Note

GNU autoconf places restrictions on paths, including the path that the user builds a package from. Package authors using `build-type: configure` should be aware of these restrictions; because users may be unexpectedly constrained and face mysterious errors, it is recommended that `build-type: configure` is only used where strictly necessary.

## 2.6. Portability

One of the purposes of Cabal is to make it easier to build packages on different platforms (operating systems and CPU architectures), with different compiler versions and indeed even with different Haskell implementations. (Yes, there are Haskell implementations other than GHC!)

Cabal provides abstractions of features present in different Haskell implementations and wherever possible it is best to take advantage of these to increase portability. Where necessary however it is possible to use specific features of specific implementations.

For example a package author can list in the package’s `.cabal` what language extensions the code uses. This allows Cabal to figure out if the language extension is supported by the Haskell implementation that the user picks. Additionally, certain language extensions such as Template Haskell require special handling from the build system and by listing the extension it provides the build system with enough information to do the right thing.

Another similar example is linking with foreign libraries. Rather than specifying GHC flags directly, the package author can list the libraries that are needed and the build system will take care of using the right flags for the compiler. Additionally this makes it easier for tools to discover what system C libraries a package needs, which is useful for tracking dependencies on system libraries (e.g. when translating into Linux distribution packages).

In fact both of these examples fall into the category of explicitly specifying dependencies. Not all dependencies are other Cabal packages. Foreign libraries are clearly another kind of dependency. It’s also possible to think of language extensions as dependencies: the package depends on a Haskell implementation that supports all those extensions.

Where compiler-specific options are needed however, there is an “escape hatch” available. The developer can specify implementation-specific options and more generally there is a configuration mechanism to customise many aspects of how a package is built depending on the Haskell implementation, the operating system, computer architecture and user-specified configuration flags.