Benchmark: Spread operator vs apply - realistic

Script Preparation code:

function test() { console.log(arguments[arguments.length - 1]); }
var using = (new Array(5)).fill(null).map((e, i) => (i));

Tests:

spread
test(...using);
apply
test.apply(null, using)

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
spread
apply

Fastest: N/A

Slowest: N/A

Latest run results:

Run details: (Test run date: 2 years ago)

User agent: Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/123.0.0.0 Safari/537.36

Browser/OS: Chrome 123 on Mac OS X 10.15.7

View result in a separate tab

Test name	Executions per second
spread	383633.7 Ops/sec
apply	381037.4 Ops/sec

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

LLMs can make mistakes. Check important info.

The provided JSON represents a benchmark test case on MeasureThat.net, which compares the performance of two different ways to call a function with arbitrary arguments dynamically: the spread operator (`...`) and the `apply` method.

**What is tested:**

* The `test` function is defined in the Script Preparation Code section, which takes an array of arguments using the spread operator.
* In the Html Preparation Code section, an empty array is created and mapped to generate an array of indices (`using` variable).
* Two test cases are defined:
	+ `spread`: Calls the `test` function with the `using` array as a single argument using the spread operator (`test(...using);`).
	+ `apply`: Calls the `test` function with the `using` array as an array of arguments using the `apply` method (`test.apply(null, using)`).

**Options compared:**

* **Spread Operator (Rest Parameter)**: The spread operator is used to pass an array of values as separate arguments. In this case, it's used to call the `test` function with the `using` array.
	+ Pros: Concise and easy to read. Allows for flexible argument passing.
	+ Cons: May be slower than other methods due to the overhead of creating a new array.
* **Apply Method**: The `apply` method is used to execute a function with an arbitrary number of arguments. In this case, it's used to call the `test` function with the `using` array as separate arguments.
	+ Pros: Can be faster than other methods due to reduced overhead compared to creating a new array or using a spread operator.
	+ Cons: May require more explicit code and be less intuitive for some developers.

**Pros and Cons of different approaches:**

* Using the spread operator:
	+ Pros: Easy to read, concise, flexible argument passing.
	+ Cons: May be slower due to array creation overhead.
* Using the `apply` method:
	+ Pros: Can be faster, reduced overhead compared to other methods.
	+ Cons: Requires more explicit code, less intuitive for some developers.

**Library and Special JS Features:**

There is no library mentioned in the provided benchmark. However, it's worth noting that JavaScript does have several libraries and frameworks that provide additional functionality, such as `lodash` or `Ramda`, which might be used to implement the spread operator or other utility functions.

As for special JavaScript features, there are none explicitly mentioned in this benchmark.

**Other Alternatives:**

* **Rest Parameter (es2015)**: This feature was introduced in ECMAScript 2015 and allows functions to accept a variable number of arguments using the syntax `function test(...using)`.
* **Array.prototype.push.apply()**: Instead of using the spread operator, one could use the `push.apply()` method to pass an array as an argument.
* **Function.prototype.call()**: Similarly, instead of using the `apply` method, one could use `Function.prototype.call()` to execute a function with an arbitrary number of arguments.

These alternatives might be worth considering when optimizing code for performance or readability.

Related benchmarks:

Spread operator vs apply - realistic (version: 0)

Compare the differing ways you can call a function with arbitrary arguments dynamically

Comparing performance of: spread vs apply

Created: 2 years ago by: Guest

Jump to the latest result

spread

apply

Suite status: <idle, ready to run>

Fastest: N/A

Slowest: N/A

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