Benchmark: blahhhh - MeasureThat.net

Script Preparation code:

var list = [];
for (var i = 0; i < 1000 * 1000; i++) {
  list.push(i);
}

Tests:

slice
list.push('slice'); list = list.slice(1000 - 2);
splice
list.push('splice'); list.splice(1000-2, 2);
shift
list.push('splice'); list.pop(); list.pop();

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
slice
splice
shift

Fastest: N/A

Slowest: N/A

Latest run results:

No previous run results

This benchmark does not have any results yet. Be the first one to run it!

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

LLMs can make mistakes. Check important info.

Measuring the performance of JavaScript microbenchmarks can be a fascinating exercise.

**What is being tested?**

The provided JSON represents three individual test cases:

1. `slice`: Measures the execution time of using the `list.slice()` method to create a copy of a list.
2. `splice`: Measures the execution time of using the `list.splice()` method to modify the list.
3. `shift`: Measures the execution time of using `list.pop()` twice in succession.

These test cases focus on comparing the performance of three approaches:

* `slice`: Creates a new copy of the list, leaving the original intact.
* `splice`: Modifies the existing list by removing two elements from the end.
* `shift` (or `pop`): Removes an element from the beginning/end of the list.

**Options compared**

Each test case compares the performance of one approach over another:

* In the `slice` case, we compare the execution time of using `list.slice()` versus... nothing (`list.push('slice')` is not tested).
* In the `splice` case, we compare the execution time of using `list.splice()` versus... nothing (`list.push('splice')` is not tested).
* In the `shift` case, we compare the execution time of using `list.shift()`/`pop()` versus... nothing (`list.push('shift')` is not tested).

**Pros and Cons**

Here's a brief summary:

* `slice`:
	+ Pros: Creates a new copy of the list, leaving the original intact. Can be useful for operations that don't modify the list.
	+ Cons: Can be slower than other approaches because it creates an additional copy of the list.
* `splice`:
	+ Pros: Modifies the existing list in-place, which can be more efficient than creating a new copy or removing elements sequentially.
	+ Cons: Can be slower for small lists if the removal operation is not optimized.
* `shift` (or `pop`):
	+ Pros: Removes an element from the beginning/end of the list, which can be faster than modifying the entire list using `splice`.
	+ Cons: Can be slower for large lists because it involves multiple operations to remove elements.

**Libraries and special JS features**

None of these test cases use a specific JavaScript library or feature. They focus on measuring the performance of fundamental methods (`slice`, `splice`, and `shift`) in isolation.

**Other considerations**

Keep in mind that:

* This benchmark is designed to measure the performance of each approach under specific conditions (in this case, creating a list of 1 million elements).
* The results may not generalize well to other scenarios or edge cases.
* Other factors like caching, garbage collection, and concurrent execution can also impact performance.

**Alternatives**

If you'd like to explore alternative approaches or microbenchmarks, MeasuringThat.net offers a wide range of test cases and templates for various JavaScript topics. You can:

* Search for existing benchmarks using the "Search" bar.
* Create your own benchmark by clicking the "New Benchmark" button.
* Browse through pre-existing benchmarks in the "Browse" section.

Feel free to experiment with different approaches, libraries, or features to gain a deeper understanding of their performance characteristics!

Related benchmarks:

blahhhh (version: 0)

100k list splice and shift win, they mutate list slice loose, it creates a copy of list 7.5x slower

Comparing performance of: slice vs splice vs shift

Created: 4 years ago by: Guest

Jump to the latest result

slice

splice

shift

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):