var number = Number(Math.random().toString());
var unary = +Math.random().toString();
var parse = parseFloat(Math.random().toString());
--enable-precise-memory-info
flag.
Test case name | Result |
---|---|
Number | |
Unary + | |
parseFloat |
Test name | Executions per second |
---|---|
Number | 24774126.0 Ops/sec |
Unary + | 22900414.0 Ops/sec |
parseFloat | 17138672.0 Ops/sec |
Let's dive into the world of JavaScript microbenchmarks on MeasureThat.net.
Benchmark Overview
The benchmark in question tests three different ways to convert a random string representation of a number into an actual number: Number()
, unary +
(also known as implicit conversion), and parseFloat()
.
Options Compared
Here are the options being compared:
Number()
: This method attempts to parse the input string as a number, using a more lenient conversion process than unary +
.+
(implicit conversion
): This method uses implicit conversion to evaluate the expression, treating the input string as a numeric literal.parseFloat()
: This method explicitly parses the input string as a floating-point number.Pros and Cons of Each Approach
Number()
:+
and parseFloat()
, may produce inaccurate results for certain input values.+
(implicit conversion):Number()
for non-numeric strings.parseFloat()
:+
, may require manual input validation.Library and Special JS Features
None of the benchmark test cases explicitly use any libraries or special JavaScript features beyond what's built-in to the language. However, it's worth noting that the Number()
method uses a more lenient parsing approach, which might be affected by the presence of certain non-numeric characters in the input string.
Other Considerations
Alternative Approaches
If you wanted to explore alternative approaches, here are some options:
BigInt()
: For very large numbers, using BigInt()
instead of Number()
might provide more accurate results and better performance.Keep in mind that these alternatives would likely introduce additional complexity and may not provide significant performance benefits unless carefully optimized.