Benchmark: Lodash omit + cloneDeep vs JS forEach

HTML Preparation code:

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

Tests:

Lodash omit + cloneDeep
const a = {prop1: {a: 1}, prop2: {a: 2}}; const b = _.cloneDeep(_.omit(a, 'prop1')); b['prop2'] = null;
JS forEach
const a = {prop1: {a: 1}, prop2: {a: 2}}; const b = {}; Object.keys(a).forEach(key => { if(key !== 'prop1'){ b[key] = {...a[key]}; } }); b['prop2'].a = null;

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Lodash omit + cloneDeep
JS forEach

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 JSON and explain what's being tested.

**Benchmark Definition**

The benchmark is defined by two test cases: "Lodash omit + cloneDeep" and "JS forEach". The goal of this benchmark is to compare the performance of using Lodash's `omit` function with `cloneDeep` method against using a simple JavaScript `forEach` loop to achieve similar results.

**Test Case 1: Lodash omit + cloneDeep**

This test case creates an object `a` with two properties, each containing another object with a single property `a`. The intention is to remove the `prop1` property from object `a` and then create a deep copy of the resulting object using `cloneDeep`.

```javascript
const a = {prop1: {a: 1}, prop2: {a: 2}};
const b = _.cloneDeep(_.omit(a, 'prop1'));
b['prop2'] = null;
```

**Test Case 2: JS forEach**

This test case achieves the same result as above but uses a `forEach` loop to iterate over the object's properties and only keep the ones that are not equal to `'prop1'`. The resulting object is then assigned to variable `b`.

```javascript
const a = {prop1: {a: 1}, prop2: {a: 2}};
const b = {};
Object.keys(a).forEach(key => {
  if (key !== 'prop1') {
    tb[key] = {...a[key]};
  }
});
b['prop2'].a = null;
```

**Options Compared**

The two test cases are compared in terms of performance. The benchmark measures the execution speed of each approach.

**Pros and Cons**

* **Lodash omit + cloneDeep**
	+ Pros:
		- Concise and readable code
		- Leveraging Lodash's optimized `omit` function
	+ Cons:
		- Additional dependency on Lodash library
		- May introduce overhead due to deep cloning
* **JS forEach**
	+ Pros:
		- No additional dependencies required
		- Uses built-in JavaScript features, potentially more efficient
	+ Cons:
		- More verbose and less readable code
		- May not be as optimized as Lodash's implementation

**Library: Lodash**

Lodash is a popular JavaScript utility library that provides various functions for tasks such as array manipulation, string manipulation, and object transformation. In this benchmark, `omit` is used to remove specified properties from an object, while `cloneDeep` creates a deep copy of an object.

**Special JS Feature/ Syntax: None**

There are no special JavaScript features or syntax used in these test cases.

**Other Alternatives**

If you prefer not to use Lodash, alternative approaches could be:

1. Using `Object.keys()` and manual iteration
2. Utilizing `reduce()` method for array-like objects
3. Leveraging `JSON.parse(JSON.stringify(obj))` for deep cloning

However, these alternatives might introduce additional complexity and potential performance overhead compared to the original implementation using Lodash's optimized functions.

In summary, the benchmark compares two approaches: using Lodash's `omit` function with `cloneDeep` method versus a simple JavaScript `forEach` loop. The choice between these approaches depends on your specific use case, personal preference for code readability and complexity, and potential performance requirements.

Related benchmarks:

Lodash omit + cloneDeep vs JS forEach (version: 0)

Lodash omit + cloneDeep vs JS forEach

Comparing performance of: Lodash omit + cloneDeep vs JS forEach

Created: 3 years ago by: Guest

Jump to the latest result

Lodash omit + cloneDeep

JS forEach

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):