Benchmark: Ramda merge vs spread

HTML Preparation code:


<script src='https://cdnjs.cloudflare.com/ajax/libs/ramda/0.25.0/ramda.js'></script>

Tests:

Spread
var a = { a: 'oh', b: 'my' }; var b = { c: 'goddess' }; var c = { ...a, ...b };
Ramda merge
var a = { a: 'oh', b: 'my' }; var b = { c: 'goddess' }; var c = R.merge(a, b);

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Spread
Ramda merge

Fastest: N/A

Slowest: N/A

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

LLMs can make mistakes. Check important info.

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

**Benchmark Overview**

The benchmark measures the performance difference between two approaches: using the spread operator (`...`) to merge objects, and using the `R.merge()` function from the Ramda library.

**Options Compared**

There are two options compared:

1. **Spread Operator ( ... )**: This is a JavaScript syntax that allows you to merge objects by spreading their properties into a new object.
2. **Ramda `merge` Function**: This is a utility function from the Ramda library that merges two or more objects into a single object.

**Pros and Cons of Each Approach**

1. **Spread Operator ( ... )**
	* Pros:
		+ Easy to read and understand
		+ No additional dependencies required (built-in JavaScript)
		+ Generally faster than using an external library like Ramda
	* Cons:
		+ May not be as performant as other methods, especially for large objects or complex merges
		+ Can lead to confusing code if not used carefully
2. **Ramda `merge` Function**
	* Pros:
		+ More readable and maintainable than the spread operator approach
		+ Often faster than using the spread operator due to optimized implementation
		+ Reduces duplication of merge logic
	* Cons:
		+ Requires an additional dependency (the Ramda library)
		+ May introduce performance overhead due to the overhead of loading a new library

**Library: Ramda**

Ramda is a popular JavaScript library for functional programming. It provides a set of reusable functions that can be used to perform common tasks, such as array manipulation, object merging, and data transformation.

The `R.merge()` function is just one example of Ramda's utility functions. This function takes two or more objects as input and returns a new object containing the merged properties.

**Other Considerations**

When choosing between these two approaches, consider the following:

* If you need to perform complex merges with multiple objects, using Ramda's `merge` function may be a better choice due to its optimized implementation.
* If you're working on a small project and performance is not a top concern, the spread operator approach may be sufficient and easier to understand.
* Always consider code readability and maintainability when choosing an approach.

**Alternatives**

Other alternatives for merging objects in JavaScript include:

1. **Object.assign()**: This method allows you to merge two or more objects into a single object. It's generally faster than using the spread operator, but it requires a dependency on the `Object` global object.
2. **lodash.merge()**: If you need more advanced merge functionality, Lodash is another popular JavaScript library that provides a range of utility functions, including `merge()`.

In summary, the benchmark measures the performance difference between two approaches: using the spread operator (`...`) to merge objects, and using the Ramda `merge` function. The choice between these approaches depends on your specific use case, performance requirements, and personal preference for code readability and maintainability.

Latest run results:

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

User agent: Mozilla/5.0 (X11; Linux x86_64; rv:131.0) Gecko/20100101 Firefox/131.0

Browser/OS: Firefox 131 on Linux

View result in a separate tab

Test name	Executions per second
Spread	15759038.0 Ops/sec
Ramda merge	21659628.0 Ops/sec

Related benchmarks:

Ramda merge vs spread (version: 0)

Comparing performance of: Spread vs Ramda merge

Created: 5 years ago by: Guest

Jump to the latest result

Spread

Ramda merge

Suite status: <idle, ready to run>

Experimental features:

Fastest: N/A

Slowest: N/A

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