Benchmark: Lodash find() vs for loop

HTML Preparation code:

<script src='https://cdnjs.cloudflare.com/ajax/libs/lodash.js/4.17.5/lodash.min.js'></script>

Script Preparation code:

var stores = [
    'Target', 'Fry\'s', 'Meijer', 'Walmart', 'Home Depot', 'Cabella\'s',
    'Best Buy', 'Sears', 'Lowe\'s', 'Gander Mountain', 'Zales', 'AutoZone',
    'Menards', 'Radio Shack', 'CVS', 'Kroger', 'Costco', 'LensCrafters', 'Kmart',
    'Staples', 'Office Depot', 'Dollar General', 'Bed Bath & Beyond',
    'Big Lots', 'HomeGoods', 'Foot Locker', 'Cost Plus', 'Shoe Carnival',
    'Brookstone', 'Hancock Fabrics'
];

Tests:

for
let foundUser; for (let i = 0; i < 10000; i++) { if (stores[i] === 'Cost Plus') { foundUser = true; break; } }
lodash find
let foundUser = _.find(stores || [], function(s) { return s === 'Cost Plus'; });

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
for
lodash find

Fastest: N/A

Slowest: N/A

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

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

**What is being tested?**

The provided JSON represents two JavaScript microbenchmarks:

1. A for loop that searches for a specific value ("Cost Plus") in an array of 10,000 elements.
2. The `_.find` function from the Lodash library, which also searches for the same value ("Cost Plus") in the same array.

**Options compared**

The two options being compared are:

* **For loop**: A traditional JavaScript loop that uses a conditional statement to check each element in the array until it finds a match.
* **Lodash `_.find` function**: A utility function from the Lodash library that takes an array and a callback function as input. The callback function is executed for each element in the array, and when it returns true (in this case, the value matches "Cost Plus"), the function immediately returns the matched element.

**Pros and cons of each approach**

* **For loop**:
	+ Pros: Simple, easy to understand, and can be optimized using techniques like caching or early exit.
	+ Cons: Can be slower than other approaches due to the overhead of repeated checks in the loop.
* **Lodash `_.find` function**:
	+ Pros: Provides a concise and expressive way to perform searches, reduces code duplication, and is often faster than a traditional for loop.
	+ Cons: Requires an additional library dependency (Lodash), and the performance benefits may not be significant for small datasets.

**Other considerations**

* **Array iteration**: In JavaScript, arrays are iterated over using a for-in loop or a foreach loop. The for loop approach used in this benchmark is specific to iterating over arrays in a sequential manner.
* **Early exit**: Some optimizations, like early exit, can be applied to both the for loop and Lodash `_.find` function to improve performance.

**Lodash library**

The Lodash library provides various utility functions for tasks such as array manipulation, string manipulation, and functional programming. In this benchmark, the `_.find` function is used to search for an element in an array.

**Special JS feature or syntax**

None mentioned in this explanation.

**Other alternatives**

If you want to compare the performance of different approaches without using Lodash, you could use:

* **Array.prototype.indexOf()**: A method that returns the index of the first occurrence of a value in an array.
* **Binary search**: An algorithm that divides the search space in half at each step, reducing the number of comparisons needed.
* **Caching**: Storing the results of previous searches to avoid repeating them.

These alternatives would require modifying the benchmark code to use one of these approaches instead of Lodash `_.find`.

Related benchmarks:

Lodash find() vs for loop (version: 0)

Comparing performance of: for vs lodash find

Created: 4 years ago by: Guest

Jump to the latest result

for

lodash find

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):