var array = new Array(1000000).fill(0);
const array2 = array.map((item, index) => index);
const array2 = new Array(1000000).fill(0);
for (let i = 0; i < array2.length; i++) array2[i] = i;
--enable-precise-memory-info
flag.
Test case name | Result |
---|---|
Map | |
Preallocation |
Test name | Executions per second |
---|---|
Map | 132.3 Ops/sec |
Preallocation | 456.7 Ops/sec |
I'd be happy to explain what's being tested in the provided JSON benchmark.
What is being tested?
The benchmark is comparing two approaches:
Array.prototype.map()
method to create a new array, where each element is set to its index.Array
constructor and then assigns values to each element.Options compared
The benchmark is comparing two options:
map()
method to create a new arrayPros and Cons
Map approach:
Pros:
map()
callback function)Cons:
Preallocation approach:
Pros:
Cons:
map()
approachOther considerations
When comparing these two approaches, it's essential to consider factors like:
map()
and preallocation might vary across browsers and JavaScript engines.Library
None of these options use a specific library. They are built-in JavaScript methods or simple array operations.
Special JS feature or syntax
There is no special JavaScript feature or syntax being used in this benchmark. It's purely about comparing two array creation approaches.
Benchmark result interpretation
The latest benchmark result shows that:
Preallocation
) executed 267.66595458984375 executions per secondmap()
approach (Map
) executed 100.44690704345703 executions per secondThis suggests that the preallocation approach is faster for this particular test case, but it's essential to note that results may vary depending on specific use cases and environments.
Other alternatives
If you're interested in exploring alternative approaches or libraries for array creation, here are a few options:
Buffer
or TypedArray
constructorsArray.prototype.set()
method (although this might have additional overhead)mapSize
functionKeep in mind that the best approach often depends on your specific requirements, use case, and performance constraints.