var bigInt1 = BigInt("1000000000000");
var bigInt2 = BigInt("10000000000001000000000000");
c = bigInt1 * bigInt1 - bigInt1
d= bigInt2+ bigInt1+bigInt1+2n
--enable-precise-memory-info
flag.
Test case name | Result |
---|---|
multiply | |
addition |
Test name | Executions per second |
---|---|
multiply | 2050943.5 Ops/sec |
addition | 2144892.8 Ops/sec |
Let's dive into the world of JavaScript microbenchmarks on MeasureThat.net.
What is being tested?
The provided JSON represents a benchmark that compares the performance of two approaches:
BigInt
(Big Integers) data type.n
notation for big integers.Options compared:
There are two test cases:
BigInt
. Specifically, it checks the performance of bigInt1 * bigInt1 - bigInt1
.n
notation for big integers. It specifically checks the performance of d= bigInt2+ bigInt1+bigInt1+2n
.Pros and Cons:
BigInt (Multiply)
Pros:
Cons:
n notation (Addition)
Pros:
n
notation can provide better performance for certain operations by allowing JavaScript engines to use more efficient arithmetic algorithms.Cons:
n
notation can make code harder to read and understand for some developers.Library:
In the provided benchmark, the BigInt
data type is used. BigInts are a built-in JavaScript feature introduced in ECMAScript 2020 (ES10). They provide support for large integers with arbitrary precision, which is essential for many numerical computations.
Special JS feature or syntax:
The n
notation in the addition test case uses a proprietary syntax to represent big integers. This syntax is specific to Google's V8 JavaScript engine and some other custom implementations. It allows the engine to use more efficient arithmetic algorithms, but its usage can be problematic if not supported by all browsers or environments.
Alternative approaches:
Other alternatives for comparison could include:
decimal.js
or mathjs
that provide alternative numeric data types with different trade-offs in terms of performance and accuracy.Keep in mind that each alternative approach will have its own set of pros and cons, which may affect the overall result of the benchmark.