Benchmark: Arrow function vs normal named function comparison

Script Preparation code:

var arrowFn = (a, b) => a + b;
function fn(a, b) {
    return a + b;
};

Tests:

Arrow function
arrowFn()
Normal function
fn()

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Arrow function
Normal function

Fastest: N/A

Slowest: N/A

Latest run results:

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Autogenerated LLM Summary (model llama3.2:3b, generated one year ago):

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Let's break down what's being tested in the provided benchmark and explain the different approaches compared, along with their pros and cons.

**Benchmark Definition**

The benchmark compares the performance of two types of functions: arrow functions and normal named functions. The script preparation code provides the implementation of these two function types.

`var arrowFn = (a, b) => a + b;` defines an arrow function that takes two arguments `a` and `b` and returns their sum. This is equivalent to a regular function with the same syntax: `function arrowFn(a, b) { return a + b; }`

`function fn(a, b) { return a + b; };` defines a normal named function with the same logic as the arrow function.

**Options Compared**

The benchmark compares the performance of two approaches:

1. **Arrow Functions**: Using the `=>` syntax to define a concise and single-expression function.
2. **Normal Named Functions**: Using the `function` keyword followed by parentheses to define a traditional named function with multiple statements or expressions.

**Pros and Cons of Each Approach**

* **Arrow Functions**
	+ Pros:
		- Concise syntax, easier to read and write
		- Less overhead due to fewer checks (e.g., no `this` check)
		- Can be used as event handlers or in certain cases where a traditional function would not work (e.g., using `setInterval`)
	+ Cons:
		- Limited expression nesting (i.e., cannot use multiple statements in a single line)
		- Less explicit, which can lead to confusion for some developers
* **Normal Named Functions**
	+ Pros:
		- More expressive and flexible syntax (e.g., can include multiple statements or expressions)
		- Easier to debug and maintain due to the explicit use of `return` statements
	+ Cons:
		- Less concise syntax, which can lead to longer lines of code
		- More overhead due to additional checks (e.g., checking `this`)

**Library Usage**

None of the provided test cases uses any external libraries. However, it's worth noting that some browsers may have built-in functions or optimizations that could affect the results of this benchmark.

**Special JS Features/Syntax**

There are no special JavaScript features or syntax used in these test cases. The focus is solely on comparing the performance of arrow functions and normal named functions.

**Other Alternatives**

In addition to arrow functions and normal named functions, there are other types of functions that could be used as alternatives:

* **Anonymous Functions**: Functions defined without a name using the `function` keyword (e.g., `var func = function(a, b) { return a + b; };`)
* **Lambda Functions**: Similar to arrow functions but defined using the `=>` syntax in older JavaScript versions (e.g., IE11)
* **Closures**: Functions that capture variables from their surrounding scope, which can be used as alternatives for more complex logic

However, these alternatives are not being compared in this specific benchmark.

Related benchmarks:

Arrow function vs normal named function comparison (version: 0)

Comparing performance of: Arrow function vs Normal function

Created: 4 years ago by: Guest

Jump to the latest result

Arrow function

Normal function

Suite status: <idle, ready to run>

Fastest: N/A

Slowest: N/A

No previous run results

Autogenerated LLM Summary (model llama3.2:3b, generated one year ago):