var intA = 42.034;
var strB = "42.034";
var res = intA + strB;
var res = parseInt(intA) + parseInt(strB);
var res = Number(intA) + Number(strB);
var res = ~~intA + ~~strB;
--enable-precise-memory-info
flag.
Test case name | Result |
---|---|
No conversion | |
parseInt | |
Number | |
~~ |
Test name | Executions per second |
---|---|
No conversion | 745357568.0 Ops/sec |
parseInt | 743623808.0 Ops/sec |
Number | 34903272.0 Ops/sec |
~~ | 743337600.0 Ops/sec |
Let's dive into the world of JavaScript microbenchmarks.
Benchmark Definition
The provided JSON represents a benchmark that tests the performance of three different ways to perform numerical conversions in JavaScript:
parseInt
Number
~~
(the bitwise NOT operator, which can be used as a "trick" to convert a string to an integer)These three methods are compared for their execution speed.
Options Compared
The options being compared are the different ways to perform numerical conversions in JavaScript:
parseInt
function.Number
function.~~
) to convert a string to an integer.Pros and Cons of Each Approach
Here's a brief summary of each approach:
parseInt
, can handle more complex inputs.parseInt
due to its overhead, and may lead to unexpected behavior if the input string is not in a numeric format.Library
None of these options rely on any external libraries. They are built-in JavaScript features or operators.
Special JS Feature/Syntax
No special JavaScript features or syntax are being tested in this benchmark, other than the ~~
operator which is a bit unconventional but widely supported.
Other Considerations
The benchmark does not account for the type of input data (e.g., floating-point numbers vs. integers) and may produce different results depending on the specific inputs used.
Alternatives
If you're looking for alternative methods to perform numerical conversions in JavaScript, some options include:
lodash
or moment.js
, which provide more robust and feature-rich functions for working with numbers.${}>)
) or computed property names (e.g., { foo: bar }[bar]
) to create dynamic numerical expressions.Keep in mind that these alternatives may have their own trade-offs and performance implications, so it's essential to evaluate the specific use case and requirements before choosing an approach.