Benchmark: Lodash omit vs delete in a

HTML Preparation code:

<script src='https://cdnjs.cloudflare.com/ajax/libs/lodash.js/4.17.5/lodash.min.js'></script>

Tests:

Delete in a
let a = { "name": "john doe", "isNew": true }; if ("isNew" in a) {delete a["isNew"];}
Lodash omit in a
let a = { "name": "john doe", "isNew": true }; _.omit(a, ["isNew"]);

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Delete in a
Lodash omit in a

Fastest: N/A

Slowest: N/A

Latest run results:

Run details: (Test run date: one year ago)

User agent: Mozilla/5.0 (iPhone; CPU iPhone OS 17_5_1 like Mac OS X) AppleWebKit/605.1.15 (KHTML, like Gecko) Version/17.5 Mobile/15E148 Safari/604.1

Browser/OS: Mobile Safari 17 on iOS 17.5.1

View result in a separate tab

Test name	Executions per second
Delete in a	437886400.0 Ops/sec
Lodash omit in a	3053259.0 Ops/sec

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

LLMs can make mistakes. Check important info.

Let's dive into explaining the benchmark and its options.

**Benchmark Overview**

The provided JSON represents a JavaScript microbenchmark on MeasureThat.net, which compares the performance of two approaches: deleting a property from an object using the `delete` operator versus using the `_omit` function from the Lodash library.

**Options Compared**

Two options are compared:

1. **Delete Operator**: The first option uses the `delete` operator to delete the "isNew" property from the object `a`. This approach is straightforward and typically used in JavaScript.
2. **Lodash Omit Function**: The second option uses the `_omit` function from Lodash to exclude the "isNew" property from the object `a`. Lodash is a popular utility library that provides functional programming helpers.

**Pros and Cons of Each Approach**

1. **Delete Operator**
	* Pros:
		+ Simple and intuitive
		+ No additional dependencies required
	* Cons:
		+ May not be as efficient or concise as other approaches, especially for large objects
		+ Can lead to issues if the property name is not a string (e.g., using a numeric index)
2. **Lodash Omit Function**
	* Pros:
		+ More concise and readable than the `delete` operator
		+ Reduces the risk of errors due to property names being strings or numbers
	* Cons:
		+ Requires an additional dependency on Lodash (although it's often included in many projects)
		+ May have a slight overhead due to the function call

**Lodash Library**

The `_omit` function is part of the Lodash library, which provides a set of utility functions for functional programming. In this context, `_omit` takes an object and an array of property names as arguments, returning a new object with the specified properties removed.

**Other Considerations**

When choosing between these two approaches, consider the specific requirements of your project:

* If you need to delete properties frequently or in complex scenarios, the Lodash `omit` function might be more suitable due to its concise syntax and reduced risk of errors.
* However, if performance is a top concern and you're working with very large objects or simple use cases, the `delete` operator might be sufficient.

**Alternative Approaches**

Other alternatives to consider:

1. **Object.keys()**: You can iterate over the object's property names using `Object.keys()` and then delete each one individually.
2. **For...in Loop**: Similar to the `delete` operator, you can use a `for...in` loop to remove properties from an object.
3. **Set**: In modern browsers (and Node.js), you can use a `Set` data structure to create a new object without specified properties.

Keep in mind that these alternatives might have different performance characteristics and may not be as concise or readable as the `delete` operator or Lodash's `_omit` function.

Related benchmarks:

Lodash omit vs delete in a (version: 0)

Comparing performance of: Delete in a vs Lodash omit in a

Created: one year ago by: Guest

Jump to the latest result

Delete in a

Lodash omit in a

Suite status: <idle, ready to run>

Fastest: N/A

Slowest: N/A

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