var bigInt1 = 10000000000000000000000000000n
var bigInt2 = 10000000000000000000000000005n
var number1 = 1000000
var number2 = 1000005
a = bigInt1
b = bigInt2
c = a - b
d = a < b
a = number1
b = number2
c = a - b
d = a < b
a = bigInt1
b = bigInt2
c = a - b
cn = Number(c)
d = cn < 10
--enable-precise-memory-info
flag.
Test case name | Result |
---|---|
BigInt | |
Number | |
BigInt cast to Number compare |
Test name | Executions per second |
---|---|
BigInt | 551231.1 Ops/sec |
Number | 587630.0 Ops/sec |
BigInt cast to Number compare | 441811.5 Ops/sec |
This benchmark compares the performance of using Number
and BigInt
for handling large numbers in JavaScript. Let's break it down:
What's Being Tested:
-
): The code performs subtraction operations on both Number
and BigInt
values.<
): It compares the results of the subtraction to check if the difference is less than a certain value.Options Compared:
Number
: JavaScript's built-in data type for representing numbers with standard precision (up to around 2^53). For very large numbers, Number
can lead to rounding errors or overflow issues.
BigInt
: Introduced in modern JavaScript, BigInt
allows you to work with arbitrary-precision integers without the limitations of Number
. It's designed for extremely large numbers where precision is critical.
Casting BigInt
to Number
(Number(c)
): This test checks if converting a BigInt
result back to a Number
for comparison introduces any performance overhead or accuracy issues.
Pros and Cons:
Number
:
BigInt
:
Number
for common operations due to the increased complexity of handling arbitrary precision.Other Considerations:
BigInt
is essential to ensure accurate results.Number
and BigInt
might be negligible.Alternatives:
If you need even more advanced numerical capabilities than BigInt
, there are libraries like Decimal.js
that provide decimal arithmetic with precise control over rounding and scale.