Main difference between map and reduce

Question

I used both methods but I am quite confused regarding the usage of both methods.

Is anything that map can do but reduce can not and vice versa?

Note: I know how to use both methods I am questioning for main difference between these method and when we need to used.

Answer 1

Source

Both map and reduce have as input the array and a function you define. They are in some way complementary: map cannot return one single element for an array of multiple elements, while reduce will always return the accumulator you eventually changed.

map

Using map you iterate the elements, and for each element you return an element you want.

For example, if you have an array of numbers and want to get their squares, you can do this:

// A function which calculates the square
const square = x => x * x

// Use `map` to get the square of each number
console.log([1, 2, 3, 4, 5].map(square))

reduce

Using an array as an input, you can get one single element (let's say an Object, or a Number, or another Array) based on the callback function (the first argument) which gets the accumulator and current_element parameters:

const numbers = [1, 2, 3, 4, 5]

// Calculate the sum
console.log(numbers.reduce(function (acc, current) {
  return acc + current
}, 0)) // < Start with 0

// Calculate the product
console.log(numbers.reduce(function (acc, current) {
  return acc * current
}, 1)) // < Start with 1

---

Which one should you choose when you can do the same thing with both? Try to imagine how the code looks. For the example provided, you can compute the squares array like you mentioned, using reduce:

// Using reduce
[1, 2, 3, 4, 5].reduce(function (acc, current) {
    acc.push(current*current);
    return acc;
 }, [])

 // Using map
 [1, 2, 3, 4, 5].map(x => x * x)

Now, looking at these, obviously the second implementation looks better and it's shorter. Usually you'd choose the cleaner solution, which in this case is map. Of course, you can do it with reduce, but in a nutshell, think which would be shorter and eventually that would be better.

Answer 2

I think this picture will answer you about the difference between those Higher Order Functions

Answer 3

Generally "map" means converting a series of inputs to an equal length series of outputs while "reduce" means converting a series of inputs into a smaller number of outputs.

What people mean by "map-reduce" is usually construed to mean "transform, possibly in parallel, combine serially".

When you "map", you're writing a function that transforms x with f(x) into some new value x1. When you "reduce" you're writing some function g(y) that takes array y and emits array y1. They work on different types of data and produce different results.