var array = [];
for(var i = 0; i < 100000; i++){array.push(Math.random());}
while (array.length > 0) { array.pop(); }
while (array.pop()) {}
array.length = 0;
array = [];
--enable-precise-memory-info
flag.
Test case name | Result |
---|---|
while (array.length > 0) { array.pop(); } | |
while (array.pop()) {} | |
array.length = 0; | |
array = []; |
Test name | Executions per second |
---|---|
while (array.length > 0) { array.pop(); } | 228277648.0 Ops/sec |
while (array.pop()) {} | 19190388.0 Ops/sec |
array.length = 0; | 35105048.0 Ops/sec |
array = []; | 74265104.0 Ops/sec |
Let's dive into explaining the provided JavaScript microbenchmarks.
What is tested:
The benchmarks measure the performance of different ways to clear an array in JavaScript. Specifically, they test:
array.pop()
and while
looparray.length = 0
)array = []
)Options compared:
The benchmarks compare three different approaches:
while
loop with pop()
: This method uses a while
loop to repeatedly remove elements from the end of the array.pop()
alone: This method directly calls the pop()
method on the array, which also removes the last element and returns it.Pros and cons:
while
loop with pop()
:pop()
alone:Other considerations:
When writing JavaScript code for performance-critical sections, consider the following:
const
and let
instead of var
to avoid hoisting issues.eval()
since it's slower than native code execution.Array.prototype.forEach()
or other built-in methods when iterating over arrays.Library usage:
None of the provided benchmark scripts explicitly use any external libraries. The focus is on measuring the performance of the JavaScript language itself.
Special JS features or syntax:
The benchmarks do not use any special JS features or syntax, such as async/await, promises, or modern JavaScript features like let
and const
.
Now that we've broken down what's being tested, let's discuss some alternatives:
splice()
, slice()
, or even manipulating the DOM directly. These methods might have different performance characteristics.Keep in mind that measuring performance can be complex and influenced by many factors, including the specific use case, array size, and other variables.