arrowFn = (a, b) => a + b;
function fn(a, b) {
return a + b;
};
arrowFn()
fn()
--enable-precise-memory-info
flag.
Test case name | Result |
---|---|
Arrow function | |
Normal function |
Test name | Executions per second |
---|---|
Arrow function | 5614225.5 Ops/sec |
Normal function | 8987238.0 Ops/sec |
Let's break down the provided benchmark definition and test cases.
Benchmark Definition:
The website uses a JSON object to define a benchmark, which is a set of instructions for running a test on multiple JavaScript functions. In this case, the benchmark compares the performance of two types of functions:
The benchmark definition includes:
Script Preparation Code
: This is the JavaScript code that sets up the two functions being compared. It defines an arrow function arrowFn
and a normal function fn
, both taking two arguments a
and b
.Html Preparation Code
: There is no HTML preparation code, which means the benchmark doesn't involve any DOM-related interactions or events.Options Compared:
The benchmark compares two options:
function
keyword) for a similar task.Pros and Cons of Each Approach:
In general, arrow functions are suitable for simple, one-line functions, while normal functions are better suited for more complex tasks.
Other Considerations:
this
refers to the context in which the function is called, whereas in normal functions, this
refers to the global object (usually the window
object in a browser).Libraries and Special JS Features:
There are no libraries mentioned in the benchmark definition. However, it's worth noting that some modern JavaScript engines (e.g., SpiderMonkey in Firefox) use a concept called "lexical scoping" to resolve this
contexts for arrow functions.
Test Cases:
The two test cases compare the performance of the two functions:
These tests can help determine which type of function is more efficient in terms of execution speed.