Benchmark: Lodash _.find vs Lodash _.includes vs Lodash _.some

HTML Preparation code:

<script src="lodash.js"></script>

Script Preparation code:

var array = [...Array(100000).keys()];

Tests:

_.Includes
_.includes(array,n => n === 99999);
_.find
_.find(array,n => n === 99999)
_.some
_.some(array,n => n === 99999)

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
_.Includes
_.find
_.some

Fastest: N/A

Slowest: N/A

Latest run results:

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

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

**Benchmark Definition JSON**

The benchmark is designed to compare three functions from the Lodash library:

1. `_.includes(array, n => n === 99999)`: This function checks if an element with a value equal to 99999 exists in the array.
2. `_.find(array, n => n === 99999)`: This function returns the first element in the array that meets the condition (in this case, the element with a value of 99999).
3. `_.some(array, n => n === 99999)`: This function checks if at least one element in the array has a value equal to 99999.

**Test Cases**

The benchmark consists of three test cases:

1. `_.Includes`
2. `_.find`
3. `_.some`

Each test case uses the same array preparation code, which creates an array of 100,000 elements with keys from 0 to 99999. This allows us to focus on the performance differences between the three Lodash functions.

**Lodash Library and Its Purpose**

The Lodash library is a utility belt for JavaScript that provides a wide range of functional programming helpers. The functions tested in this benchmark are part of the Lodash collection, which includes methods like `includes`, `find`, and `some`. These methods are designed to make it easier to work with arrays, objects, and other data structures.

**Performance Considerations**

The performance differences between these three functions can be attributed to their implementation:

1. `_.includes(array, n => n === 99999)`: This function uses a simple loop to check if the array contains an element that matches the condition. This approach is straightforward but may not be optimized for large arrays.
2. `_.find(array, n => n === 99999)`: This function also uses a loop, but it's designed to return the first matching element. If no match is found, it will traverse the entire array before returning null or undefined. This approach can lead to slower performance compared to the other two functions.
3. `_.some(array, n => n === 99999)`: This function uses a loop that exits as soon as a match is found. While this might seem like an optimization, it's actually just using a different approach to achieve the same result.

**Pros and Cons**

Here are some pros and cons of each approach:

1. `_.includes(array, n => n === 99999)`:
	* Pros: Simple and easy to understand.
	* Cons: May not be optimized for large arrays.
2. `_.find(array, n => n === 99999)`:
	* Pros: Returns the first matching element if found.
	* Cons: May traverse the entire array before finding a match.
3. `_.some(array, n => n === 99999)`:
	* Pros: Can be faster due to early exit condition.
	* Cons: May not be as intuitive or easy to understand.

**Other Alternatives**

If you're looking for alternative implementations of these functions, consider the following:

1. Using a library like `fast-estimates` which provides benchmarking utilities and can help optimize performance-critical code.
2. Implementing your own optimized version using techniques like caching, memoization, or parallel processing.
3. Considering other libraries or frameworks that offer similar functionality, such as React's `useCallback` or `useMemo`.

In conclusion, this benchmark highlights the importance of understanding the implementation details and performance trade-offs when choosing between different JavaScript functions or libraries.

Related benchmarks:

Lodash _.find vs Lodash _.includes vs Lodash _.some (version: 0)

Comparing performance of: _.Includes vs _.find vs _.some

Created: 3 years ago by: Guest

Jump to the latest result

_.Includes

_.find

_.some

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):