Toggle navigation
MeasureThat.net
Create a benchmark
Tools
Feedback
FAQ
Register
Log In
Array.from vs map vs Array.from then map
(version: 0)
Comparing performance of:
Array.from vs Map vs Loop vs Loop push vs Array.from and Map
Created:
3 years ago
by:
Guest
Jump to the latest result
Tests:
Array.from
Array.from({ length: 1000 }, i => i)
Map
new Array(1000).map(i => i);
Loop
const arr = new Array(1000); for (let i = 0; i < 1000; i++) arr[i] = i
Loop push
const arr = [] for (let i = 0; i < 1000; i++) arr.push(i)
Array.from and Map
Array.from({ length: 1000 }).map(i => i);
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (5)
Previous results
Fork
Test case name
Result
Array.from
Map
Loop
Loop push
Array.from and Map
Fastest:
N/A
Slowest:
N/A
Latest run results:
Run details:
(Test run date:
2 months ago
)
User agent:
Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/145.0.0.0 Safari/537.36
Browser/OS:
Chrome 145 on Windows
View result in a separate tab
Embed
Embed Benchmark Result
Test name
Executions per second
Array.from
20809.7 Ops/sec
Map
489536.8 Ops/sec
Loop
1298604.5 Ops/sec
Loop push
291527.7 Ops/sec
Array.from and Map
21334.9 Ops/sec
Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
Let's dive into the explanation of the provided benchmark. **Benchmark Definition** The benchmark is comparing four different approaches to generate an array of numbers from 0 to 999: 1. `Array.from()` 2. `map()` method 3. Manual loop using a for loop (`for...of`) 4. Manual loop with `push()` method These approaches are being compared to determine which one is the most efficient. **Options Compared** The options being compared are: * `Array.from()`: Creates a new array from an iterable (in this case, a constructor function that generates numbers from 0 to 999). * `map()`: Applies a callback function to each element of an array and returns a new array with the results. * Manual loop using a for loop: Iterates over a counter variable and assigns it to each element in the array. * Manual loop with `push()` method: Uses a for loop to iterate over a counter variable and pushes each number onto the end of the array. **Pros and Cons** Here are some pros and cons of each approach: * `Array.from()`: + Pros: Easy to use, concise syntax, can create an array from an iterable. + Cons: May be slower than other approaches due to the overhead of creating a new array. * `map()` method: + Pros: Efficient and concise way to transform arrays, can handle large datasets. + Cons: Creates a new array, which may not be desirable for very large datasets or memory-constrained environments. * Manual loop using a for loop: + Pros: Easy to understand and implement, allows for fine-grained control over the iteration process. + Cons: Can be slower than other approaches due to the overhead of the loop and manual indexing. * Manual loop with `push()` method: + Pros: Can handle large datasets without creating a new array, provides a simple way to append elements to an array. + Cons: May require more manual memory management, can be slower than other approaches. **Library Usage** In this benchmark, there is no explicit library usage. However, the `Array.from()` method uses the `Constructor` API to create an iterable that generates numbers from 0 to 999. **Special JS Features or Syntax** There are no special JavaScript features or syntax used in this benchmark. **Other Considerations** When evaluating the performance of these approaches, it's essential to consider factors such as: * Memory allocation and deallocation * Cache locality * Branch prediction * Loop unrolling and parallelization In modern JavaScript engines, caching and loop unrolling are often enabled by default, which can affect the performance of each approach. **Alternative Approaches** Other approaches to generating an array of numbers from 0 to 999 might include: * Using `reduce()` method to accumulate elements into a single array * Using `Promise.all()` or other concurrency control mechanisms to parallelize the iteration process * Utilizing WebAssembly (WASM) and Just-In-Time (JIT) compilation for improved performance However, these approaches are not typically used in simple benchmarking scenarios like this one. I hope this explanation helps!
Related benchmarks:
Array.from() vs new Array() vs [..Array()]
Array.from() vs new Array() - map
new Array() vs Array.from() with random data
Array.from() vs new Array().map()
Array.from() vs new Array() with index
Comments
Confirm delete:
Do you really want to delete benchmark?