Benchmark: array find test 1

HTML Preparation code:

<script type="text/javascript" src="https://cdnjs.cloudflare.com/ajax/libs/lodash.js/4.17.5/lodash.core.js"></script>

Tests:

array find
var a = [...Array(10000)].map((_, index) => `element${index + 1}`); var b = a.find(item => item === 'element2000');
array some
var a = [...Array(10000)].map((_, index) => `element${index + 1}`); var b = a.find(item => item === 'element111800');

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
array find
array some

Fastest: N/A

Slowest: N/A

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/120.0.0.0 Safari/537.36

Browser/OS: Chrome 120 on Windows

View result in a separate tab

Test name	Executions per second
array find	10952.2 Ops/sec
array some	10101.4 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.

The provided JSON represents two benchmark definitions, each comparing different approaches for searching an array in a specific way.

**Benchmark 1: Array Find with Spread Operator**

The first benchmark definition compares the new ES6 spread operator (`...`) with the traditional `concat()` method. The script preparation code is not provided, but the HTML preparation code includes a reference to Lodash, which is a utility library for functional programming.

Here's what's being tested:

* The test creates an array of 10,000 elements using the spread operator and maps each element to a string.
* It then searches for a specific element ('element2000') in the array using the `find()` method with a callback function.
* Another test case is run, which searches for another element ('element111800') in the same array.

**Benchmark 2: Array Some**

The second benchmark definition compares two different approaches for checking if at least one element in an array matches a certain condition. The script preparation code is not provided, but the HTML preparation code includes a reference to Lodash, which is used in the test case.

Here's what's being tested:

* The test creates an array of 10,000 elements using the spread operator and maps each element to a string.
* It then checks if at least one element in the array matches the condition `item === 'element111800'` using the `some()` method with a callback function.

Now, let's discuss the pros and cons of these different approaches:

**Spread Operator (Array Find)**

Pros:

* More concise and expressive syntax compared to traditional methods.
* Can be more efficient for large datasets since it avoids creating intermediate arrays.

Cons:

* May not be supported in older browsers or environments that don't support ES6 features.
* Can be slower than traditional methods due to the overhead of the spread operator.

**Traditional concat() Method (Array Find)**

Pros:

* Widely supported across browsers and environments, including older ones.
* Typically faster than the spread operator since it avoids the overhead of creating intermediate arrays.

Cons:

* More verbose syntax compared to the spread operator.
* Can be less efficient for large datasets due to the creation of intermediate arrays.

**Some() Method**

Pros:

* More concise syntax compared to traditional methods like `some()` with a callback function.
* Can be more efficient since it only iterates over the array once, even if no elements match the condition.

Cons:

* May not be supported in older browsers or environments that don't support modern JavaScript features.
* Can be slower than traditional methods due to the overhead of the `some()` method.

**Other Considerations**

* The use of Lodash in both benchmark definitions suggests that the author is using a utility library to simplify the implementation and reduce code duplication.
* The test cases are designed to compare different approaches for searching arrays, but it's worth noting that the spread operator is generally more efficient than traditional methods for large datasets.

**Alternatives**

If you're interested in exploring alternative approaches, here are some options:

* For array search operations, consider using modern JavaScript features like `find()` or `some()`, which provide concise and expressive syntax.
* For general-purpose utility functions, Lodash is a popular choice, but you can also explore other libraries like Moment.js for date-related tasks or Ramda for functional programming.

Related benchmarks:

array find test 1 (version: 0)

Compare the new ES6 spread operator with the traditional concat() method

Comparing performance of: array find vs array some

Created: 2 years ago by: Guest

Jump to the latest result

array find

array some

Suite status: <idle, ready to run>

Fastest: N/A

Slowest: N/A

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