Benchmark: lodash omit - MeasureThat.net

HTML Preparation code:

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

Script Preparation code:

var obj = {
	a: {a1: 1, a2: 2},
  b: {b1: 1, b2: 2},
  c: {c1: 1, c2: 2},
  d: {d1: 1, d2: 2},
};

Tests:

Native
_.omit(obj, 'a.2') _.omit(obj, 'b.1') _.omit(obj, 'd.2')
Lodash.js filter
_.omit(obj, ['a.2', 'b.1', 'd.2'])

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Native
Lodash.js filter

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.

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

**Benchmark Definition**

The benchmark is designed to measure the performance of two approaches: native JavaScript and Lodash.js filter. The benchmark uses an object `obj` with several properties, including nested objects.

**Native JavaScript Approach**

In this approach, the code uses the `_.omit()` method from the Lodash library to remove specific keys from the `obj` object. There are three test cases:

1. `_.omit(obj, 'a.2')`: This removes only the key `'a.2'` and its value from the `obj` object.
2. `_.omit(obj, 'b.1')`: This removes only the key `'b.1'` and its value from the `obj` object.
3. `_.omit(obj, 'd.2')`: This removes only the key `'d.2'` and its value from the `obj` object.

The native JavaScript approach uses the spread operator (`{...obj}`) to create a shallow copy of the original object, which is then modified using the `Object.keys()` and `delete` operators to remove specific keys.

**Lodash.js Filter Approach**

In this approach, the code passes an array of strings (the keys to be removed) to the `_.omit()` method. There are two test cases:

1. `'a.2', 'b.1', 'd.2'`: This removes all three specified keys and their values from the `obj` object.
2. `['a.2', 'b.1', 'd.2']`: Similar to the first case, but the keys are passed as an array instead of a comma-separated string.

The Lodash.js filter approach uses the `_.omit()` method with an array of strings as its second argument, which is equivalent to passing individual key names separated by commas.

**Pros and Cons**

Native JavaScript Approach:

Pros:

* No external dependencies (no need to include Lodash library)
* Can be more readable and maintainable for simple cases
* Can be optimized for specific use cases

Cons:

* May require additional logic to handle nested objects correctly
* May not be as efficient as the Lodash.js filter approach for large datasets

Lodash.js Filter Approach:

Pros:

* Efficient and optimized for large datasets
* Easy to implement and maintain, especially for simple use cases
* Can take advantage of Lodash's caching mechanism

Cons:

* Requires including an external library (Lodash)
* May have overhead due to the additional dependency

**Library: Lodash**

Lodash is a popular JavaScript utility library that provides a wide range of functions for tasks such as array manipulation, string manipulation, and object manipulation. The `_.omit()` method is one of these functions, which removes specific keys from an object while preserving other properties.

**Special JS Feature or Syntax**

There are no special features or syntax used in this benchmark. It's written in standard JavaScript and relies on the Lodash library for its functionality.

**Other Alternatives**

If you need to omit keys from an object, there are alternative approaches:

1. Using `Object.keys()` and `delete`: As mentioned earlier, this approach creates a shallow copy of the original object and then modifies it using `Object.keys()` and `delete`.
2. Using `for...in` loop: This approach iterates over the object's properties using a `for...in` loop and deletes each property individually.
3. Using a library like Immutable.js: If you need to work with immutable data structures, Immutable.js provides an `omit()` method that returns a new object with specific keys removed.

These alternatives may have different performance characteristics or trade-offs in terms of readability and maintainability, so it's essential to consider your specific use case before choosing one over the other.

Related benchmarks:

lodash omit (version: 0)

Comparing performance of: Native vs Lodash.js filter

Created: 4 years ago by: Guest

Jump to the latest result

Native

Lodash.js filter

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):