var N = 10000;
var result = new Array(N);
for (var i = 0; i < N; i++) {
result[i] = i * 2;
}
var N = 10000;
var result = new Array(N).fill(0);
for (var i = 0; i < N; i++) {
result[i] = i * 2;
}
var N = 10000;
var result = [];
for (var i = 0; i < N; i++) {
result.push(i * 2);
}
var N = 10000;
var result = [];
for (var i = 0; i < N; i++) {
result[i] = i * 2;
}
--enable-precise-memory-info
flag.
Test case name | Result |
---|---|
Preallocate | |
Preallocate & fill | |
Push | |
Index |
Test name | Executions per second |
---|---|
Preallocate | 41048.5 Ops/sec |
Preallocate & fill | 22999.4 Ops/sec |
Push | 42020.1 Ops/sec |
Index | 44852.7 Ops/sec |
Let's dive into the explanation of the provided benchmark.
Benchmark Definition
The benchmark is defined in JSON format, which represents the test cases to be executed. The test case measures the performance of different approaches for initializing an array: preallocate
, push
, and index
. Each test case has a unique name, description (none in this case), preparation code, and HTML preparation code.
Approaches Compared
The three approaches compared are:
new Array(N)
.new Array(N).fill(0)
before populating it.push
method to add elements one by one.Pros and Cons of Each Approach
Library Used
There doesn't appear to be any specific library used in this benchmark. The JavaScript code uses built-in methods like Array
, new Array()
, push()
, and fill()
.
Special JS Feature/Syntax (None)
No special JavaScript features or syntax are used in this benchmark.
Other Considerations
push
approach can incur more garbage collection overhead due to the repeated allocations and deallocations of individual elements.Alternative Approaches
Other approaches that could be explored in this benchmark include:
Array.from()
method to create an array from an iterable.map()
method to create a new array by applying a transformation function to each element of an existing array.Please note that these alternatives might not be directly comparable to the preallocated, push, and indexed approaches, as they involve different algorithmic designs and execution patterns.