let x = 5
let y = 10
function add(x,y){
return x+y
}
(x,y) => x+y
--enable-precise-memory-info
flag.
Test case name | Result |
---|---|
full function | |
arrow function |
Test name | Executions per second |
---|---|
full function | 1060316544.0 Ops/sec |
arrow function | 1054847168.0 Ops/sec |
Let's break down the provided benchmark definition and test cases.
Benchmark Definition
The provided JSON represents a JavaScript microbenchmark, which is a small program designed to measure the performance of a specific part of code. In this case:
Name
field specifies the name of the benchmark: "test-type-of-function".Description
field is empty, which means there's no description or context provided for the benchmark.Script Preparation Code
and Html Preparation Code
fields are used to set up the environment before running the benchmark. In this case, both fields contain a simple JavaScript statement that assigns values to variables x
and y
.Individual Test Cases
There are two test cases:
Benchmark Definition
is a traditional function definition: function add(x,y){ return x+y; }
.Benchmark Definition
uses an arrow function syntax: (x,y) => x+y
.Libraries and Special Features
In this benchmark, there are no libraries explicitly mentioned, but we can infer that the JavaScript engine being tested is a standard JavaScript engine, as it supports both traditional function definitions and arrow functions.
There are no special features or syntax mentioned in the provided information.
Options Compared
The two test cases compare the performance of traditional function definitions versus arrow functions. This comparison is useful because:
Pros and Cons
Traditional Function Definitions:
Pros:
Cons:
Arrow Functions:
Pros:
Cons:
Other Alternatives
If the benchmark were to compare other approaches, it might consider alternatives like:
function
versus using an expression like (x,y) => x+y
.In general, when designing or participating in microbenchmarks, it's essential to consider the specific use case and requirements of the benchmark.