John the Statistician's example code does not show functional programming, because when you're doing functional programming, the key is that the code does NO ASSIGNMENTS ( record = thingConstructor(t)
is an assignment), and it has NO SIDE EFFECTS (localMap.put(record)
is a statement with a side effect). As a result of these two constraints, everything that a function does is fully captured by its arguments and its return value. Rewriting the Statistician's code the way it would have to look, if you wanted to emulate a functional language using C++:
RT getOrCreate(const T thing,
const Function<RT<T>> thingConstructor,
const Map<T,RT<T>> localMap) {
return localMap.contains(t) ?
localMap.get(t) :
localMap.put(t,thingConstructor(t));
}
As a result of the no side-effects rule, every statement is part of the return value (hence return
comes first), and every statement is an expression. In languages that enforce functional programming, the return
keyword is implied, and the if statement behaves like C++'s ?:
operator.
Also, everything is immutable, so localMap.put
has to create a new copy of localMap and return it, instead of modifying the original localMap, the way a normal C++ or Java program would. Depending on the structure of localMap, the copy could re-use pointers into the original, reducing the amount of data that has to be copied.
Some of the advantages of functional programming include the fact that functional programs are shorter, and it is easier to modify a functional program (because there are no hidden global effects to take into account), and it is easier to get the program right in the first place.
However, functional programs tend to run slowly (because of all the copying they have to do), and they don't tend to interact well with other programs, operating system processes, or operating systems, which deal in memory addresses, little-endian blocks of bytes, and other machine-specific, non-functional bits. The degree of noninteroperability tends to be inversely correlated with the degree of functional purity, and the strictness of the type system.
The more popular functional languages have really, really strict type systems. In OCAML, you can't even mix integer and floating-point math, or use the same operators (+ is for adding integers, +. is for adding floats). This can be either an advantage or a disadvantage, depending on how highly you value the ability of a type checker to catch certain kinds of bugs.
Functional languages also tend to have really big runtime environments. Haskell is an exception (GHC executables are almost as small as C programs, both at compile-time and runtime), but SML, Common Lisp, and Scheme programs always require tons of memory.
Why do we want successive calls to a function to yield the same result. What is the problem with the way things are in C? I never understood this.
– Lauralee