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The
Composite Design Pattern allows a client object to treat both single components and collections of components identically. It accomplishes this by creating an abstraction that unifies both the single components and composed collections as abstract equivalents. Mathematically, we say that the single components and composed collections are
homomorphically equivalent (from the Latin:
This equivalence of single and composite components is what we call a recursive data structure . In recursive data structures, objects are linked to other objects to create a total object structure made of many “nodes” (objects). Since every node is abstractly equivalent, the entire, possibly infinitely large and complex data structure can be succinctly described in terms of just three distinct things: the single components, the composite components and their abstract representation. This massive reduction in complexity is one of the cornerstones of computer science.
The Composite Design Pattern is an object-oriented representation of a recursive data structure.
In the UML class diagram below, the
Client
uses an abstract component,
AComponent
, for some abstract task,
operation()
. At run-time, the
Client
may hold a reference to a concrete component such as
Leaf1
or
Leaf2
. When the operation task is requested by the
Client
, the specific concrete behavior with the particular concrete component referenced will be performed.
The
Composite
class is a concrete component like
Leaf1
and
Leaf2
, but has no
operation()
behavior of its own. Instead,
Composite
is composed with a collection of other abstract components, which may be of any other concrete component type including the composite itself. The unifying fact is that they are all abstractly
AComponent
s. When the
operation()
method of a
Composite
object is called, it simply dispatches the request sequentially to all of its "children" components and perhaps, also does some additional computations itself. For instance, a
Composite
object could hold references to both a
Leaf1
and a
Leaf2
instance. If a client holds a reference to that
Composite
object and calls its
operation()
method, the
Composite
object will first call operation on its
Leaf1
instance and then
operation()
on its
Leaf2
instance. Thus composite behavior of
Leaf1
plus
Leaf2
behaviors is achieved without either duplicating code or by having the
Client
object knowing that the two leaf components were involved.
Composite patterns are often used to represent recursive data structures. The recursive nature of the Composite structure naturally gives way to recursive code to process that structure.
AComponent
s held by
Composite
, "children", is shown above as an array. However, the behavior of a Composite pattern is independent of exactly how the collection of
AComponents
is implemented. If access speed is not an issue, a vector or a list may be a better implementation choice. The
addChild()
and
removeChild()
methods are optional.In
Design Patterns , the abstract component
AComponent
is shown as having accessor methods for child
AComponent
s. They are not shown here because it is debatable as to whether one wants the
Client
to fundamentally view the
AComponent
as a single component or as a collection of components.
Design Patterns models all
AComponent
s as collections while the above design models them all as single components. The exact nature of those accessor methods is also debatable.
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