var arr = []; var i = 0; while (i <= 1E5) arr[i] = i++;
arr.filter(x => x % 3).map(x => x/100)
arr.flatMap(x => x % 3 ? [x/100] : [])
--enable-precise-memory-info
flag.
Test case name | Result |
---|---|
filter().map() | |
flatMap() |
Test name | Executions per second |
---|---|
filter().map() | 785.0 Ops/sec |
flatMap() | 754.7 Ops/sec |
Let's break down the provided benchmark and explain what is being tested.
Benchmark Definition
The benchmark, titled "flatMap() vs filter().map() - arrays", aims to compare the performance of two different approaches: flatMap()
and the combination of filter()
and map()
.
Options Compared
Two options are compared:
flatMap()
: This method is used to flatten an array (or an iterable) by mapping each element to a new array, and then flattening that array.filter().map()
: This approach involves filtering the array first, using filter()
, and then mapping over the resulting array using map()
.Pros and Cons
Here are some pros and cons of each approach:
flatMap()
:filter().map()
:Array.prototype.slice()
.Library and Special JS Features
No external libraries are used in this benchmark. However, note that modern JavaScript implementations (like V8) provide some additional optimizations for certain methods, such as flatMap()
.
Special JS Syntax
There is no special syntax being tested here. The code uses standard JavaScript syntax and is designed to be readable and understandable by developers familiar with the language.
Other Alternatives
If you were looking for alternatives to these two approaches, consider:
forEach()
: Instead of map()
, you can use forEach()
if you need to execute a function on each element without returning a new array.reduce()
: For flattening arrays or accumulating values, reduce()
might be a more suitable choice than flatMap()
.In summary, the benchmark tests two common approaches for flattening an array in JavaScript: flatMap()
and the combination of filter()
and map()
. The results can help developers understand which approach is most efficient for their specific use cases.