
Aspects
- Functional Programming - Functions
- Functional Programming - Functional Composition
- Functional Programming - Eager vs Lazy Evaluation
- Functional Programming - Persistent Data Structure
- Functional Programming - Recursion
- Functional Programming - Parallelism
- Functional Programming - Optionals & Monads
- Functional Programming - Closure
- Functional Programming - Currying
- Functional Programming - Reducing
Java 8 Onwards
- Functional Programming - Lambda Expressions
- Functional Programming - Default Methods
- Functional Programming - Functional Interfaces
- Functional Programming - Method References
- Functional Programming - Constructor References
- Functional Programming - Collections
Functional Programming
- Functional Programming - High Order Functions
- Functional Programming - Returning a Function
- Functional Programming - First Class Functions
- Functional Programming - Pure Functions
- Functional Programming - Type Inference
- Exception Handling in Lambda Expressions
Streams
- Functional Programming - Intermediate Methods
- Functional Programming - Terminal methods
- Functional Programming - Infinite Streams
- Functional Programming - Fixed Length Streams
Useful Resources
Functional Programming - Parallelism
Parallelism is a key concept of functional programming where a big task is accomplished by breaking in smaller independent tasks and then these small tasks are completed in a parallel fashion and later combined to give the complete result. With the advent of multi-core processors, this technique helps in faster code execution. Java has Thread based programming support for parallel processing but it is quite tedious to learn and difficult to implement without bugs. Java 8 onwards, stream have parallel method and collections has parallelStream() method to complete tasks in parallel fashion.
Example - Using Serial Stream
FunctionTester.java
package com.tutorialspoint; import java.util.ArrayList; import java.util.Arrays; import java.util.List; public class FunctionTester { public static void main(String[] args) { Integer[] intArray = {1, 2, 3, 4, 5, 6, 7, 8 }; List<Integer> listOfIntegers = new ArrayList<>(Arrays.asList(intArray)); System.out.println("List using Serial Stream:"); listOfIntegers .stream() .forEach(e -> System.out.print(e + " ")); } }
Output
Run the FunctionTester and verify the output.
List using Serial Stream: 1 2 3 4 5 6 7 8
Example - Using Parallel Stream
FunctionTester.java
package com.tutorialspoint; import java.util.ArrayList; import java.util.Arrays; import java.util.List; public class FunctionTester { public static void main(String[] args) { Integer[] intArray = {1, 2, 3, 4, 5, 6, 7, 8 }; List<Integer> listOfIntegers = new ArrayList<>(Arrays.asList(intArray)); System.out.println("List using Parallel Stream:"); listOfIntegers .parallelStream() .forEach(e -> System.out.print(e + " ")); System.out.println(); System.out.println("List using Another Parallel Stream:"); listOfIntegers .stream() .parallel() .forEach(e -> System.out.print(e + " ")); System.out.println(); System.out.println("List using Parallel Stream but Ordered:"); listOfIntegers .parallelStream() .forEachOrdered(e -> System.out.print(e + " ")); System.out.println(); } }
Output
Run the FunctionTester and verify the output.
List using Parallel Stream: 6 5 8 7 3 4 2 1 List using Another Parallel Stream: 6 2 1 7 4 3 8 5 List using Parallel Stream but Ordered: 1 2 3 4 5 6 7 8
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