Benchmark: Lodash: difference vs filter & some

HTML Preparation code:

<script src="https://cdn.jsdelivr.net/lodash/4.16.0/lodash.min.js"></script>

Script Preparation code:

var disabledObjIds = [{ id: 55}, { id: 60 }]

var disabledIds = [55, 60];
var ids = [...Array(100)].map((el, ind) => ind);

Tests:

Filter + some
ids.filter(id => disabledObjIds.some(obj => obj.id === id))
Lodash difference
_.difference(ids, disabledIds)

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Filter + some
Lodash difference

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.

**Benchmark Explanation**

The provided benchmark measures the performance difference between using the `_.difference` method from the Lodash library and implementing it manually using the `filter` and `some` methods in JavaScript.

In this specific test case, two sets of data are used:

* `disabledObjIds`: an array of objects with a property named "id".
* `disabledIds` and `ids`: arrays containing integers that represent the IDs to be compared.

The benchmark tests how fast it is to find the differences between these two sets using Lodash's `_.difference` method versus implementing it manually.

**Options Compared**

Two options are being compared:

1. **Lodash `_difference` method**: This method takes two arrays as input and returns a new array containing only the elements that exist in the first array but not in the second.
2. **Manual implementation using `filter` and `some` methods**: This approach uses JavaScript's built-in `Array.prototype.filter()` and `Array.prototype.some()` methods to achieve the same result.

**Pros and Cons of Each Approach**

1. **Lodash `_difference` method**:
	* Pros:
		+ Faster execution time due to optimized implementation.
		+ More concise code, reducing the chance of errors.
	* Cons:
		+ Requires including an additional library (Lodash).
2. **Manual implementation using `filter` and `some` methods**:
	* Pros:
		+ No additional dependencies required.
		+ Can be useful for learning or understanding the underlying logic.
	* Cons:
		+ More verbose code, increasing the chance of errors.
		+ May not be as efficient due to the use of built-in methods.

**Library and Its Purpose**

The Lodash library is a popular utility library that provides various functions for tasks such as array manipulation, object transformation, and more. In this case, it's used for its `_difference` method, which simplifies the process of finding differences between two arrays.

**Special JS Feature or Syntax**

There are no special JavaScript features or syntax mentioned in this benchmark. It only uses standard JavaScript language constructs, such as arrays, loops, and function calls.

**Other Alternatives**

If you want to implement a similar difference method without using Lodash, you can use the following alternative approaches:

* Using `Set` objects: Create two sets from the input arrays and then find their difference.
```javascript
const setA = new Set(ids);
const setB = new Set(disabledIds);

const diff = [...setA].filter(x => !setB.has(x));
```
* Using `indexOf()` method: Loop through the first array and check if each element is not present in the second array using `indexOf()`.
```javascript
const result = [];
for (const id of ids) {
  if (disabledIds.indexOf(id) === -1) {
    result.push(id);
  }
}
```
Note that these alternatives may not be as efficient or concise as Lodash's `_difference` method, but they can serve as a learning exercise or when working in environments where external libraries are not allowed.

Related benchmarks:

Lodash: difference vs filter & some (version: 0)

Comparing performance of: Filter + some vs Lodash difference

Created: 2 years ago by: Guest

Jump to the latest result

Filter + some

Lodash difference

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):