Benchmark: find vs some longer

Script Preparation code:

var data = []

for (let i = 0; i < 2000; ++i) data.push({ username: 'toto' })
data.push({ username: 'titi' })
for (let i = 0; i < 1000; ++i) data.push({ username: 'toto' })

Tests:

find
data.find(e => e.username === 'titi')
some
data.some(e => e.username === 'titi')

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
find
some

Fastest: N/A

Slowest: N/A

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

LLMs can make mistakes. Check important info.

I'd be happy to explain the benchmark and its components.

**Benchmark Overview**

The provided JSON defines two benchmark tests: `find` and `some`. These tests compare the performance of two common array methods in JavaScript: `Array.prototype.find()` and `Array.prototype.some()`, respectively. The benchmarks aim to measure which method is faster for searching an element with a specific condition in a large array.

**Script Preparation Code**

The script preparation code defines an array `data` containing 3000 elements, each with a `username` property. This array is used as the input data for both benchmark tests.

**Html Preparation Code**

There is no HTML preparation code provided, which suggests that this benchmark is focused solely on measuring JavaScript performance and does not consider DOM interactions or other non-JavaScript aspects of web applications.

**Library and Library Purpose**

None of the benchmark tests explicitly use a library. However, it's worth noting that `Array.prototype.find()` and `Array.prototype.some()` are part of the ECMAScript standard and are implemented natively by most JavaScript engines.

**Special JS Features or Syntax**

There are no special JavaScript features or syntax used in these benchmark tests. They simply utilize native array methods with a simple condition to search for an element.

**Options Compared**

The two benchmark tests compare the performance of `Array.prototype.find()` (with a callback function) and `Array.prototype.some()` (also with a callback function).

**Pros and Cons of Each Approach**

*   **`find()`**
    *   Pros:
        +   More explicit and readable code
        +   Can be more efficient for searching a single element in an array
    *   Cons:
        +   May perform slower than `some()` for large arrays, due to the additional iteration required to find the exact match
*   **`some()`**
    +   Pros:
        - Faster performance for large arrays, as it only iterates until finding a match or reaching the end of the array
        - Can be more efficient for searching multiple elements with similar conditions
    *   Cons:
        +   Less explicit and less readable code compared to `find()`
        +   May not be suitable for all use cases where an exact match is required

**Other Alternatives**

If you were considering alternative approaches, some options might include:

*   Using a library like Lodash or Underscore.js, which provide optimized implementations of these array methods
*   Utilizing modern JavaScript features like `Array.prototype.reduce()` or `Array.prototype.every()` for specific use cases
*   Implementing custom iteration logic to optimize performance for your specific problem domain

Keep in mind that the choice of approach ultimately depends on the specific requirements and constraints of your project.

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/100.0.4896.127 Safari/537.36

Browser/OS: Chrome 100 on Windows

View result in a separate tab

Test name	Executions per second
find	227465.8 Ops/sec
some	150873.4 Ops/sec

Related benchmarks:

find vs some longer (version: 0)

Comparing performance of: find vs some

Created: 2 years ago by: Guest

Jump to the latest result

find

some

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):