var size = 10000;
var data = new Array(size);
for(var index = 0; index < size; index++){
data.unshift({});
}
var data = [];
for(var index = 0; index < size; index++){
data.unshift({});
}
--enable-precise-memory-info
flag.
Test case name | Result |
---|---|
new Array | |
brackets |
Test name | Executions per second |
---|---|
new Array | 26.9 Ops/sec |
brackets | 68.9 Ops/sec |
I'd be happy to help explain the benchmark and its results.
Benchmark Overview
The MeasureThat.net website allows users to create and run JavaScript microbenchmarks. The provided benchmark is designed to measure the performance of two different approaches for populating an array: using the new Array
constructor and using square brackets ([]
). The benchmark is set up to generate a large array with 10,000 elements, where each element is an empty object.
Benchmark Definitions
There are two individual test cases defined in the benchmark:
**: This test case uses the
new Arrayconstructor to create an array and then uses the
unshift()` method to add 10,000 empty objects to the array.**: This test case uses square brackets (
[]) to create an array-like object and then uses the
unshift()` method to add 10,000 empty objects to the array.Options Compared
The two approaches compared in this benchmark are:
new Array
constructor to create a traditional array[]
) to create an array-like objectPros and Cons of Each Approach
indexOf()
, slice()
, etc.push()
, pop()
, etc.Library Used
There is no library explicitly mentioned in the benchmark. However, it's worth noting that both new Array
and array-like objects use internal methods like unshift()
and push()
which are part of the JavaScript standard library.
Special JS Features or Syntax
There are no special features or syntax used in this benchmark that would require additional explanation.
Other Alternatives
Some other alternatives to using traditional arrays and array-like objects include:
Array.from()
: This method creates a new, shallow-copied array from an array-like object or an iterable.Map
or Set
: These built-in data structures provide efficient ways to store and manipulate key-value pairs or collections of values.Keep in mind that the choice of approach depends on the specific requirements and use cases of your application.