var searchParams = new URLSearchParams('abc=foo&def=%5Basf%5D&xyz=5&m1=2&m2=3&m3=4')
Object.fromEntries(searchParams);
function paramsToObject(entries) {
const result = {}
for(const [key, value] of entries) {
result[key] = value;
}
return result;
}
paramsToObject(searchParams)
--enable-precise-memory-info
flag.
Test case name | Result |
---|---|
Object.fromEntries | |
Reduce (reuse object) |
Test name | Executions per second |
---|---|
Object.fromEntries | 121424.7 Ops/sec |
Reduce (reuse object) | 141338.3 Ops/sec |
Let's dive into the world of JavaScript microbenchmarks.
The provided JSON represents a benchmark test case on MeasureThat.net, where users can compare the performance of two different approaches to create an object from a URL search parameters.
What is tested:
The benchmark tests the creation of an object using two methods:
Object.fromEntries()
: A built-in JavaScript method that creates an object from key-value pairs.paramsToObject()
.Options compared:
Two options are being compared:
Object.fromEntries()
: The built-in JavaScript method for creating an object from key-value pairs.paramsToObject()
function: A user-defined implementation of creating an object from a URL search parameters.Pros and cons of each approach:
Object.fromEntries()
:paramsToObject()
function:Library and its purpose:
None, as there is no external library being used in this benchmark test case.
Special JS feature or syntax:
None mentioned, as the benchmark test cases only use standard JavaScript syntax.
Now, let's talk about other alternatives:
Array.prototype.reduce()
: Another approach to create an object from a URL search parameters. However, it would require using Array.prototype.map()
to convert the key-value pairs into an array, which might add unnecessary overhead.In summary, the benchmark tests two approaches to create an object from a URL search parameters: Object.fromEntries()
(built-in JavaScript method) and a custom implementation using paramsToObject()
. The choice of approach depends on performance requirements, code complexity, and personal preference.