Benchmark: 처음 index에 요소 추가

Script Preparation code:

var arr = [1,2,3]

Tests:

Array.prototype.unshift
var a = arr.unshift(99)
spread operator
var a = [99, ...arr]
Array.prototype.concat
var a = arr.concat([99])
Array.prototype.splice
var a = arr.splice(0, 0, 99)

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Array.prototype.unshift
spread operator
Array.prototype.concat
Array.prototype.splice

Fastest: N/A

Slowest: N/A

Latest run results:

Run details: (Test run date: 4 years ago)

User agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/85.0.4183.121 Safari/537.36

Browser/OS: Chrome 85 on Windows

View result in a separate tab

Test name	Executions per second
Array.prototype.unshift	23175.0 Ops/sec
spread operator	117.2 Ops/sec
Array.prototype.concat	534.5 Ops/sec
Array.prototype.splice	1381.9 Ops/sec

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

LLMs can make mistakes. Check important info.

I'll explain what's being tested in the provided benchmark.

The test cases are designed to measure the performance of three different ways to add an element to the beginning of an array:

1. `Array.prototype.unshift()`: This method adds one or more elements to the beginning of an array and returns the new length of the array.
2. The spread operator (`...`): This is a shorthand way to create a new array by spreading the elements of an existing array.
3. `Array.prototype.concat()` (in combination with array slicing): This method concatenates two or more arrays and returns a new array.

The test cases compare these three approaches in terms of execution speed.

Now, let's discuss the pros and cons of each approach:

**1. `Array.prototype.unshift()`**

Pros:

* Simple and straightforward syntax
* Fast execution time

Cons:

* Can be slower than other approaches for large arrays (due to the overhead of creating a new array)
* Not as efficient as other methods when dealing with sparse arrays or arrays with many null elements

**2. The spread operator (`...`)**

Pros:

* Fast and efficient execution time
* Works well with both dense and sparse arrays
* Convenient syntax for adding elements to the beginning of an array

Cons:

* May require additional memory allocation, depending on the size of the array being modified
* Not supported in older browsers (pre-ES6)

**3. `Array.prototype.concat()` (in combination with array slicing)**

Pros:

* Can be used as a fallback when `Array.prototype.unshift()` is not available or supported
* Works well for large arrays, as it avoids creating a new array

Cons:

* Slightly slower execution time compared to the spread operator
* Requires more memory allocation due to the intermediate array creation
* Less convenient syntax than the spread operator

Now, let's take a look at some special JavaScript features used in these test cases:

* **Rest parameters (e.g., `...arr`)**: Used with the spread operator to create a new array by spreading elements from an existing array.
* **Semi-colon insertion**: Used in some of the benchmark definitions to separate individual statements or expressions.

Finally, let's consider some alternatives for measuring the performance of these methods:

1. Using WebAssembly (WASM) and running benchmarks on a web assembly runtime like Wasmer.
2. Writing benchmarks using languages other than JavaScript, such as C++ or Rust.
3. Using a benchmarking library like Benchmark.js or fast-benchmark.
4. Measuring the performance of these methods using a profiling tool like V8's perf or Intel's VTune Amplifier.

However, for most purposes, the provided JSON and test cases should be sufficient to compare the performance of these three approaches.

Related benchmarks:

처음 index에 요소 추가 (version: 0)

Comparing performance of: Array.prototype.unshift vs spread operator vs Array.prototype.concat vs Array.prototype.splice

Created: 4 years ago by: Registered User

Jump to the latest result

Array.prototype.unshift

spread operator

Array.prototype.concat

Array.prototype.splice

Suite status: <idle, ready to run>

Experimental features:

Fastest: N/A

Slowest: N/A

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