var set = new Set([1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20]);
return Array.from(set);
return [set]
let a = [];
set.forEach(x => a.push(x));
return a;
--enable-precise-memory-info
flag.
Test case name | Result |
---|---|
Array from | |
Destructuring | |
forEach |
Test name | Executions per second |
---|---|
Array from | 29947180.0 Ops/sec |
Destructuring | 29028110.0 Ops/sec |
forEach | 7152086.5 Ops/sec |
The benchmark defined by MeasureThat.net is focused on comparing three different methods of converting a JavaScript Set
to an array. Using the provided JavaScript code, the benchmark evaluates three distinct approaches for this transformation, each with its own implications for performance and usability.
Array from:
return Array.from(set);
Array.from()
. It takes an iterable (in this case, the Set
) and returns a new Array instance containing the elements of the iterable.Destructuring:
return [...set];
...
), which spreads the elements of the Set
into a new array.forEach:
let a = []; set.forEach(x => a.push(x)); return a;
Set
into it using the forEach
method.push
calls, leading to more iterations and potential performance impact on larger sets.The benchmark results indicate the performance of each method in terms of executions per second:
From the execution counts, it’s evident that destructuring significantly outperforms both Array.from()
and forEach
, with the latter showing the lowest efficiency overall due to its iterative nature.
Array.from()
is quite close, with destructuring having the edge. For large datasets or performance-critical applications, adopting destructuring is advisable when converting sets.forEach
method may be easier for novices to comprehend, it sacrifices efficiency, especially in performance-sensitive applications.Array.from()
and the spread operator are supported in modern JavaScript environments. If compatibility with older browsers is a concern, one might need to consider polyfills or fallback methods.Gravitating towards alternative ways of handling array conversions, a developer might consider the use of libraries or utility functions that can encapsulate these transformations, such as:
_.toArray(set)
would convert the Set
into an array.map
or reduce
methods for more complex transformations.These alternatives introduce additional dependencies but offer greater flexibility or more utility features.
By understanding these variations and their performance traits, developers can make informed decisions based on their specific use cases and requirements.