Benchmark: Using the spread operator

Tests:

Spred
const firstObject = { sampleData: 'Hello world' } const secondObject = { moreData: 'foo bar' } const finalObject = { ...firstObject, ...secondObject };
Plain
const firstObject = { sampleData: 'Hello world' } const secondObject = { moreData: 'foo bar' } const finalObject = {sampleData:firstObject.sampleData,moreData:secondObject.moreData}

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Spred
Plain

Fastest: N/A

Slowest: N/A

Latest run results:

No previous run results

This benchmark does not have any results yet. Be the first one to run it!

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

LLMs can make mistakes. Check important info.

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

**Benchmark Purpose**

The purpose of this benchmark is to compare two approaches for merging objects in JavaScript: using the spread operator (`...`) and a traditional assignment syntax.

**Options Being Compared**

Two options are being compared:

1. **Using the Spread Operator (Spred)**: This approach uses the spread operator (`...`) to merge two objects into one. The `finalObject` is created by spreading the properties of `firstObject` and `secondObject`.
2. **Plain**: This approach uses traditional assignment syntax to merge the properties of `firstObject` and `secondObject` into a new object.

**Pros and Cons**

Here are some pros and cons of each approach:

* **Using the Spread Operator (Spred)**:
	+ Pros: concise, readable, and efficient. It allows for merging objects in a single line of code.
	+ Cons: requires support for ECMAScript 2015 or later (spread syntax), which might not be supported by all browsers or versions.
* **Plain**:
	+ Pros: widely supported across older browsers and versions, as it's a more traditional way of merging objects.
	+ Cons: less concise and readable than the spread operator approach.

**Other Considerations**

When choosing between these two approaches, consider the following factors:

* Code readability and maintainability
* Browser support (especially for the spread operator)
* Performance implications (in this case, they're likely to be similar)

**Library or Framework Used**

There is no explicit library or framework mentioned in the benchmark definition. However, it's worth noting that some JavaScript engines might optimize object merging using specific internal algorithms.

**Special JS Feature or Syntax**

The use of the spread operator (`...`) is a feature introduced in ECMAScript 2015 (ES6). It allows for spreading array elements into an object literal. This syntax has become widely supported across modern browsers and versions.

Now, let's look at the benchmark preparation code:

```javascript
const firstObject = { sampleData: 'Hello world' };
const secondObject = { moreData: 'foo bar' };

// Using the spread operator (Spred)
const finalObject = {
  ...firstObject,
  // ... is not present in the original object, so it will be ignored
};

// Plain approach
const finalObjectPlain = {
  sampleData: firstObject.sampleData,
  moreData: secondObject.moreData,
};
```

Keep in mind that the `finalObject` variable in the spread operator example has an empty object literal (`{}`) as its value, which is not present in the original objects. In a real-world scenario, you would likely want to use the spread operator with all properties of both objects.

**Alternatives**

Other alternatives for merging objects in JavaScript include:

1. Object.assign()
2. jQuery.merge() (not recommended due to its dependence on jQuery)
3. Lodash's _merge_ function

However, the spread operator (`...`) has become a popular and efficient way to merge objects in modern JavaScript, especially when working with newer browsers and versions.

Related benchmarks:

Using the spread operator (version: 0)

Comparing performance of: Spred vs Plain

Created: 3 years ago by: Guest

Jump to the latest result

Spred

Plain

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):