function getReConstructor() {
return new RegExp('^[0-9a-fA-F]{24}$');
}
function getReLiteral() {
return /^[0-9a-fA-F]{24}$/;
}
getReConstructor().test('132abc67219f019afe12901a')
getReLiteral().test('132abc67219f019afe12901a')
--enable-precise-memory-info
flag.
Test case name | Result |
---|---|
new RegExp() | |
Literal |
Test name | Executions per second |
---|---|
new RegExp() | 2153385.5 Ops/sec |
Literal | 5378140.0 Ops/sec |
Let's dive into the world of JavaScript microbenchmarks and understand what's being tested on this provided JSON.
Benchmark Purpose
The primary goal of this benchmark is to compare the performance of two approaches:
new RegExp()
constructor.This benchmark aims to measure which approach is faster, more efficient, and optimal for common use cases.
Options Compared
The two options being compared are:
new RegExp()
constructor. The benefits include:Pros and Cons
Both approaches have their advantages and disadvantages. The choice between them depends on the specific use case and requirements.
For most cases, using a literal regular expression string is sufficient and efficient. However, if you need more flexibility or performance, using the RegExp constructor might be a better option.
Library Use
There is no explicit library mentioned in this benchmark. However, it's worth noting that the RegExp
object relies on JavaScript's built-in regex engine, which provides various features and optimizations for working with regular expressions.
Special JS Feature/Syntax
This benchmark does not explicitly use any special JavaScript features or syntax. The code is straightforward and focuses on testing two different approaches to creating regular expressions.
Alternatives
Other alternatives to compare the performance of RegExp constructors and literal regex patterns include:
^[0-9a-fA-F]{24}$
instead of new RegExp('^[0-9a-fA-F]{24}$')
.(function() { return '^[0-9a-fA-F]{24}$'; }())
, can also be compared to the existing approaches.String.prototype.test()
with a cached RegExp object.These alternatives might offer different performance profiles or trade-offs in terms of complexity, flexibility, and readability, which could be explored in future benchmarks.