Benchmark: Lodash sortedLastIndexBy vs Native

HTML Preparation code:

<script src="https://cdn.jsdelivr.net/npm/lodash@4.17.4/lodash.min.js"></script>

Script Preparation code:

var max1 = 100000; // 100,000 (100 Thousand)
var max2 = 10000000; // 10,000,000 (10 Million)
var max3 = 100000000; // 100,000,000 (100 Million)

var arr1 = [];
//for (var i = 0; i <= max1; i++) { arr1.push(i); }

var arr2 = [];
for (var i = 0; i <= max2; i++) { arr2.push(i); }

var arr3 = [];
//for (var i = 0; i <= max3; i++) { arr3.push(i); }

Tests:

Lodash sortedLastIndexBy
const idx = sortedLastIndexBy(arr2, max2);
Native
const idx = arr2.sort().lastIndexOf(max2)

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Lodash sortedLastIndexBy
Native

Fastest: N/A

Slowest: N/A

Latest run results:

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

LLMs can make mistakes. Check important info.

Measuring JavaScript performance is crucial for optimizing applications and identifying potential bottlenecks.

**Benchmark Overview**

The provided benchmark tests the performance of two approaches: using Lodash's `sortedLastIndexBy` function and a native implementation using the `sort()` method and `lastIndexOf()` function.

**Lodash's `sortedLastIndexBy` Function**

The `sortedLastIndexBy` function is part of the Lodash library, which provides a set of utility functions for functional programming. The purpose of this function is to find the index of the last element in an array that satisfies a given predicate (a function that returns a boolean value).

**Native Implementation**

The native implementation uses the `sort()` method and `lastIndexOf()` function to achieve the same result as Lodash's `sortedLastIndexBy` function. The `sort()` method sorts the array in ascending order, and then `lastIndexOf()` finds the index of the last element that matches a given value.

**Comparison**

The comparison between these two approaches aims to determine which one is faster.

**Pros and Cons:**

1. **Lodash's `sortedLastIndexBy` Function**
	* Pros:
		+ Simplifies code and reduces boilerplate.
		+ Built-in utility function with potential optimizations.
	* Cons:
		+ Additional dependency (the Lodash library).
		+ May introduce overhead due to the library itself.
2. **Native Implementation**
	* Pros:
		+ No additional dependencies.
		+ Utilizes built-in JavaScript methods, which are likely to be optimized.
	* Cons:
		+ Requires more code and manual handling of edge cases.
		+ May have performance penalties due to sorting the entire array.

**Other Considerations**

When evaluating these approaches, consider the following factors:

1. **Code readability and maintainability**: Lodash's `sortedLastIndexBy` function is often preferred for its concise syntax and ease of understanding.
2. **Performance in specific use cases**: If the array contains a large number of unique elements or has a specific pattern, the native implementation might be more efficient.
3. **Library dependencies and version management**: Using Lodash introduces an external dependency that must be managed, which can lead to version conflicts.

**Benchmark Preparation**

The benchmark preparation code generates three arrays with different sizes (100,000, 10,000,000, and 100,000,000 elements). This allows the test to cover various scenarios and provide more accurate results.

**Other Alternatives**

When evaluating performance-critical code or libraries, consider other alternatives:

1. **Use built-in methods**: Utilize native JavaScript methods like `indexOf()` and `lastIndexOf()`, which are often optimized for specific use cases.
2. **Implement custom algorithms**: Develop efficient algorithms tailored to your specific requirements.
3. **Consider specialized libraries**: Depending on the problem domain, there may be other libraries or frameworks that provide optimized solutions for performance-critical tasks.

By understanding the trade-offs between Lodash's `sortedLastIndexBy` function and the native implementation, developers can make informed decisions about which approach best suits their project's needs.

Related benchmarks:

Lodash sortedLastIndexBy vs Native (version: 0)

Comparing performance of: Lodash sortedLastIndexBy vs Native

Created: 4 years ago by: Guest

Jump to the latest result

Lodash sortedLastIndexBy

Native

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):