Benchmark: splice vs map vs pop

Tests:

splice
var t = ['a', 'b', 'c', 'd']; var last = t.splice(-1) var result = t.map(el => `{$el}`) var str = result.join('') + last
if
var t = ['a', 'b', 'c', 'd']; var result = t.map((el, index, list) => index < list.length - 1 ? `${el}` : el) var str = result.join('')
pop
var t = ['a', 'b', 'c', 'd']; var last = t.pop() var result = t.map(el => `{$el}`) var str = result.join('') + last

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
splice
if
pop

Fastest: N/A

Slowest: N/A

Latest run results:

Run details: (Test run date: 10 months ago)

User agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/138.0.0.0 Safari/537.36

Browser/OS: Chrome 138 on Windows

View result in a separate tab

Test name	Executions per second
splice	3627951.8 Ops/sec
if	6629106.5 Ops/sec
pop	11453280.0 Ops/sec

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

LLMs can make mistakes. Check important info.

Let's dive into the world of JavaScript microbenchmarks on MeasureThat.net.

**Benchmark Overview**

The benchmark compares three different approaches to achieve a similar result: modifying an array using `map`, `if` condition, and `pop`. The goal is to measure which approach is faster.

**Options Compared**

There are two main options being compared:

1. **splice**: Uses the `splice` method to remove the last element from the array.
2. **if**: Uses an `if` statement with a conditional expression to filter out elements and create a new string.
3. **pop**: Uses the `pop` method to remove the last element from the array.

**Pros and Cons of Each Approach**

Here's a brief analysis of each approach:

* **splice**:
	+ Pros: Easy to read and understand, works well for arrays with multiple elements to be removed.
	+ Cons: Can be slow for large arrays due to the overhead of method calls.
* **if**:
	+ Pros: Can be faster for small arrays or when only removing one element. Allows for more control over filtering.
	+ Cons: Requires more code and can be harder to read, especially for complex conditions.
* **pop**:
	+ Pros: Fastest approach, as it directly removes the last element without any overhead.
	+ Cons: Works only for arrays with at least one element, and may not be suitable for other use cases.

**Library and Special JS Features**

There are no libraries used in this benchmark, but we can discuss special JavaScript features:

* **Arrow functions**: Used in the `if` case to create a shorter, more concise syntax.
* **Template literals**: Used in the `map` case to insert variables into strings.

**Other Considerations**

When writing microbenchmarks like this, it's essential to consider factors like:

* Array size: The benchmark uses an array with 4 elements. Larger arrays can reveal differences between approaches more clearly.
* Data structure overhead: Some data structures, like objects or sets, may introduce additional overhead that affects benchmark results.
* Platform and browser differences: Benchmarks should account for variations in JavaScript engines, browsers, and platforms to ensure accurate comparisons.

**Alternatives**

If you want to compare other approaches or modify this benchmark, consider the following alternatives:

* **filter()**: Use the `filter()` method instead of an `if` statement or `splice`.
* **reduce()**: Use the `reduce()` method to accumulate results instead of concatenating strings.
* **Array.prototype.forEach()**: Compare performance with and without using `forEach()` to iterate over the array.

Keep in mind that the best approach often depends on the specific use case, data structure, and requirements. Microbenchmarks like this one can help identify performance patterns and guide optimizations for real-world applications.

Related benchmarks:

splice vs map vs pop (version: 0)

Comparing performance of: splice vs if vs pop

Created: 4 years ago by: Guest

Jump to the latest result

splice

if

pop

Suite status: <idle, ready to run>

Fastest: N/A

Slowest: N/A

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