Functional Programming: Difference between revisions
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==Stateful Function== | ==Stateful Function== | ||
Operations like Streams API reduce(), sum() or max() must have an internal state to accumulate the result. | |||
===Stateful Bounded=== | ===Stateful Bounded=== | ||
Examples of stateful bounded Streams API operations: [[Java_8_Streams_API#Reduction|reduction operations]], such as reduce(), max(), sum(). | |||
===Stateful Unbounded=== | ===Stateful Unbounded=== |
Revision as of 18:09, 29 March 2018
Internal
Overview
The functional programming cornerstones are the ability to pass functions as arguments and no shared mutable data. Functional programming is essentially different than imperative programming, where a program is described in terms of a sequence of statements that mutate state.
Java 8 introduced lambda expressions, which allow behavior parameterization and functional programming.
Closures and recursion are at the base of the functional programming paradigm.
Behavior Parameterization
Behavior parameterization is a software development pattern that facilitates handling frequent requirement changes. It essentially means taking a block of code and making it available to API calls, which will execute it internally, or will pass it, in turn, to other API layers. The block of code can be called later by other parts of the program - its execution is deferred.
Behavior parameterization is similar to the strategy pattern. In this context, "behavior" and "strategy" can be used interchangeably.
Prior to Java 8, behavior parameterization was possible with anonymous classes. In Java 8, functions can be explicitly passed to the API, as parameters, and returned as results.
Function
From an object-oriented programming language perspective, a function is a block of code that receives a list of arguments and that optionally returns a result, and possibly throws an exception. A function is different from a method in that the function is not associated with any particular class.
If a function is associative and stateless, it can be used to implement inherently parallelizable reduction operations.
Pure Function
A piece of behavior that is perfectly descried solely by the way it transform arguments to results, behaving as a mathematical function and having no side effects. Also known as side-effect-free function or stateless function.
Also see Parallelism.
Stateless Function
Operations like Streams API map() and filter() take each element from the input stream and produce zero or one result in the output stream. These operations are stateless: they do not have an internal state.
Stateful Function
Operations like Streams API reduce(), sum() or max() must have an internal state to accumulate the result.
Stateful Bounded
Examples of stateful bounded Streams API operations: reduction operations, such as reduce(), max(), sum().
Stateful Unbounded
Examples of stateful unbounded Streams API operations: distinct()
Associative Function
Non-Interfering Function
Identity Value
For a function, the identity value is the value for which the following is true, for all x:
f(i, x) = x