Benchmark: Some vs Find vs Loop

Script Preparation code:

var data = []

for (let i = 0; i < 5000; ++i) data.push({ username: 'toto' })
data.push({ username: 'titi' })
for (let i = 0; i < 2500; ++i) data.push({ username: 'toto' })

Tests:

Find
data.find(e => e.username === 'titi')
Some
data.some(e => e.username === 'titi')
Loop
for(const a of data) { if (a.username === 'titi') return true; } return false;

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Find
Some
Loop

Fastest: N/A

Slowest: N/A

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

LLMs can make mistakes. Check important info.

Let's break down the benchmark and explain what's being tested.

**Benchmark Definition**

The benchmark is defined by three individual test cases, each with its own JavaScript code:

1. `data.find(e => e.username === 'titi')`
2. `data.some(e => e.username === 'titi')`
3. A manual loop: `for(const a of data) { ... }`

**What's being tested**

The benchmark is testing the performance of three different approaches to check if an element in an array contains a specific value:

1. Using `find()`: This method returns the first element that satisfies the provided condition.
2. Using `some()`: This method returns `true` as soon as it finds at least one element that satisfies the condition.
3. A manual loop: This is a traditional, imperative approach to iterate through the array and check each element.

**Options compared**

The benchmark is comparing the performance of these three approaches:

* **Find**: Faster when you need to find the first matching element.
* **Some**: Faster when you just need to know if at least one element matches.
* **Manual Loop**: The slowest approach, but it provides more control over the iteration process.

**Pros and Cons**

Here's a brief summary of each approach:

1. **Find**:
	* Pros: Fast, efficient, and easy to use.
	* Cons: May return `undefined` if no element is found, which can be problematic in some cases.
2. **Some**:
	* Pros: Faster than manual loop, and it returns a boolean value.
	* Cons: Can be slower than find() if you need the first matching element.
3. **Manual Loop**:
	* Pros: Provides control over the iteration process and can be useful in certain situations.
	* Cons: Slowest approach, especially for large datasets.

**Library and Special JS features**

None of these approaches use a library or special JavaScript features. They're all built-in methods or simple loops that take advantage of the language's syntax.

**Other alternatives**

If you need to find elements in an array, you may also consider using other methods like:

* `every()`: Returns `true` if all elements match the condition.
* `indexOf()`/`lastIndexOf()`: Return the index of the first/last matching element (returns -1 if not found).
* Regular expressions (`RegExp.test()`): Can be used to match patterns in strings.

However, these alternatives may have different performance characteristics and use cases compared to the approaches tested in this benchmark.

Latest run results:

Run details: (Test run date: 2 years ago)

User agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/100.0.4896.88 Safari/537.36

Browser/OS: Chrome 100 on Windows

View result in a separate tab

Test name	Executions per second
Find	75311.5 Ops/sec
Some	85411.1 Ops/sec
Loop	128615.3 Ops/sec

Related benchmarks:

Some vs Find vs Loop (version: 0)

Comparing performance of: Find vs Some vs Loop

Created: 2 years ago by: Registered User

Jump to the latest result

Find

Some

Loop

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):