Benchmark: Spread Operator vs Deepmerge (v06112022)

HTML Preparation code:

<script src='https://unpkg.com/deepmerge@4.2.2/dist/umd.js'></script>
<script src='https://unpkg.com/lodash@4.17.21/lodash.min.js'></script>

Script Preparation code:

var a = {a: 1, b: 2, c: {d: 'e', e: 'f'}};
var b = {f: {d: 'e', e: 'f'}, g: 1000, h: 'i'};

Tests:

Spread Operator
const res1 = {...a, ...b};
deepmerge
const res2 = deepmerge(a, b)

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Spread Operator
deepmerge

Fastest: N/A

Slowest: N/A

Latest run results:

Run details: (Test run date: 2 years ago)

User agent: Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/102.0.5005.99 Safari/537.36

Browser/OS: Chrome 102 on Mac OS X 10.15.7

View result in a separate tab

Test name	Executions per second
Spread Operator	1313966.6 Ops/sec
deepmerge	896131.2 Ops/sec

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

LLMs can make mistakes. Check important info.

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

**Benchmark Overview**

The benchmark compares two approaches to merge two objects: the spread operator (`...`) and `deepmerge` library.

**Spread Operator vs Deepmerge (v06112022)**

The benchmark is based on a question from Stack Overflow (https://stackoverflow.com/questions/58702513/lodash-clone-array-vs-spread-operator#) that discusses the performance of using the spread operator (`...`) versus the `deepmerge` library to merge two objects.

**Options Compared**

Two options are compared:

1. **Spread Operator (`...`)**: This approach uses the spread operator to create a new object by copying properties from both input objects.
2. **Deepmerge**: This is a library that provides a more efficient and flexible way to merge objects, which can be useful in various scenarios.

**Pros and Cons of Each Approach**

**Spread Operator (`...`)**

Pros:

* Simple and intuitive syntax
* Fast execution (native JavaScript operation)

Cons:

* Can lead to slower performance for large datasets due to the overhead of creating a new object
* May not work as expected with nested objects or arrays that have complex structures

**Deepmerge**

Pros:

* Optimized for performance, especially when dealing with large datasets
* Handles nested objects and arrays more robustly than the spread operator

Cons:

* More verbose syntax compared to the spread operator
* Requires an additional library dependency (`deepmerge`)

**Library: Deepmerge**

Deepmerge is a JavaScript library that provides a simple and efficient way to merge objects. It's designed to handle complex object structures, including nested objects and arrays. The library uses a proprietary algorithm to optimize performance.

**Special JS Feature/Syntax**

None mentioned in the benchmark definition.

**Other Considerations**

When choosing between these approaches, consider the specific requirements of your use case:

* If you need a simple, lightweight solution for small datasets, the spread operator might be sufficient.
* For larger datasets or more complex object structures, `deepmerge` is likely a better choice due to its optimized performance and robust handling of nested objects.

**Alternatives**

Other alternatives for merging objects include:

1. **Lodash's `cloneDeep()`**: Similar to `deepmerge`, but part of the Lodash library.
2. **JSON Merge Patch**: A lightweight library that provides a simple way to merge JSON objects.
3. **Object.assign()**: A built-in JavaScript method that can be used for object merging, although it may not handle nested objects or arrays as robustly as `deepmerge`.

Keep in mind that each alternative has its strengths and weaknesses, and the choice ultimately depends on your specific requirements and constraints.

Related benchmarks:

Spread Operator vs Deepmerge (v06112022) (version: 0)

Answering https://stackoverflow.com/questions/58702513/lodash-clone-array-vs-spread-operator#

Comparing performance of: Spread Operator vs deepmerge

Created: 2 years ago by: Guest

Jump to the latest result

Spread Operator

deepmerge

Suite status: <idle, ready to run>

Experimental features:

Fastest: N/A

Slowest: N/A

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