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js array copy speed comparison v2
(version: 0)
Comparing performance of:
map vs array.from vs for loop vs foreach vs slice vs spread
Created:
3 years ago
by:
Guest
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Script Preparation code:
var arr = [1,2,3,4,5]
Tests:
map
const newArr = arr.map(x=>x)
array.from
const newArr = Array.from(arr)
for loop
const newArr = []; for(let i = 0; i < arr.length; i++) { newArr[i] = arr[i]; }
foreach
const newArr = [] arr.forEach(e => { newArr.push(e) })
slice
const newArr = arr.slice()
spread
const newArr = [...arr]
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (6)
Previous results
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Test case name
Result
map
array.from
for loop
foreach
slice
spread
Fastest:
N/A
Slowest:
N/A
Latest run results:
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Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
**Overview of the Benchmark** The provided JSON represents a JavaScript microbenchmarking test case on MeasureThat.net, which aims to measure the performance differences between various methods for creating a new array from an existing one. The test compares six different approaches: `map`, `array.from`, `for loop`, `foreach`, `slice`, and `spread`. **Methods Compared** 1. **`map()`**: This method creates a new array by applying a provided function to each element of the original array. 2. **`array.from()`**: This method creates a new array from an existing iterable (such as an array). 3. **`for loop`**: This approach uses a traditional `for` loop to iterate over the elements of the original array and assign them to a new array. 4. **`foreach`**: This method is similar to the `for loop` but uses a more concise syntax to iterate over the elements of the original array. 5. **`slice()`**: This method creates a shallow copy of a portion of an array. 6. **`spread`** (using the spread operator `[]`): This method creates a new array by spreading the elements of the original array. **Pros and Cons of Each Approach** 1. **`map()`**: Pros: concise, expressive, and efficient for small to medium-sized arrays. Cons: can be slower than other methods for very large arrays due to function call overhead. 2. **`array.from()`**: Pros: easy to use, efficient, and works well with modern browsers. Cons: may not work as expected if the original array is not iterable. 3. **`for loop`**: Pros: flexible, allows control over iteration order, and can be faster than other methods for very large arrays. Cons: more verbose and prone to errors due to manual iteration management. 4. **`foreach`**: Pros: concise, easy to read, and efficient for small to medium-sized arrays. Cons: not as widely supported as `for loop`, and may have performance issues with very large arrays. 5. **`slice()`**: Pros: fast, efficient, and works well for shallow copies of arrays. Cons: only creates a copy of the first `n` elements, where `n` is specified by the user. 6. **`spread`** (using the spread operator `[]`): Pros: concise, easy to use, and efficient for creating new arrays from existing ones. Cons: may have performance issues with very large arrays due to the creation of a new array. **Library Used** None of the methods listed above relies on any external libraries or dependencies. **Special JS Features/Syntax** * None mentioned in this explanation. * However, note that some of these methods rely on modern JavaScript features such as `map()`, `array.from()`, and the spread operator (`[]`). **Other Alternatives** If you need to create a new array from an existing one, but none of the above methods are suitable for your use case, consider using other alternatives: * **`reduce()`**: A method that applies a function to each element of an array, accumulating a result. * **`concat()`**: A method that concatenates two or more arrays into a new array. * **`Array.prototype.concat()`**: A static method on the `Array` prototype that concatenates multiple arrays into a new array. In summary, when choosing a method for creating a new array from an existing one, consider factors such as performance requirements, code readability, and browser support. The methods listed above provide a good starting point for most use cases, but alternative approaches may be more suitable depending on your specific needs.
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