Hands-On Design Patterns and Best Practices with Julia

Comparing performance between concrete versus nonconcrete field types

We can run a performance test with these two different types, depicted here:

Our benchmark test function will compute the center of all points from an array, as follows:

using Statistics: meanfunction center(points::AbstractVector{T}) where T    return T(        mean(p.x for p in points),         mean(p.y for p in points))end

In addition, we will also define a function that can be used to make an array of points for whatever type we want:

make_points(T::Type, n) = [T(rand(), rand()) for _ in 1:n]

Let's start with a PointAny type.

We will generate 100,000 points and use BenchmarkTools to measure the time:

Next, we will run the performance test for the Point type:

As we can see, there ...