Benchmark: Find deep with Assignment of value vs Destructuring an object

Tests:

Assign
const attrib = [{foo: { bar: { baz: 'a'}}}, {foo: { bar: { baz: 'b'}}}, {foo: { bar: { baz: 'x'}}}] attrib.find(a => a.foo.bar.baz === 'x')
Destructure
const attrib = [{foo: { bar: { baz: 'a'}}}, {foo: { bar: { baz: 'b'}}}, {foo: { bar: { baz: 'x'}}}] attrib.find(({foo: {bar: { baz }}}) => baz === 'x')

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Assign
Destructure

Fastest: N/A

Slowest: N/A

Latest run results:

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

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I'll break down the provided benchmark definition and test cases for you.

**Benchmark Definition**

The benchmark is defined by a JSON object that includes:

1. `Name`: The name of the benchmark, which is "Find deep with Assignment of value vs Destructuring an object".
2. `Description`: An empty string, indicating that there's no description provided.
3. `Script Preparation Code` and `Html Preparation Code`: Empty strings, suggesting that no additional code needs to be prepared before running the test.

**Individual Test Cases**

There are two individual test cases:

1. **Assign**
The benchmark definition for this test case is:
```javascript
const attrib = [{foo: { bar: { baz: 'a'}}}, {foo: { bar: { baz: 'b'}}}, {foo: { bar: { baz: 'x'}}}]\r\nattrib.find(a => a.foo.bar.baz === 'x')
```
This test case uses the `find()` method and a callback function to search for an element in the `attrib` array that meets the condition.

2. **Destructure**
The benchmark definition for this test case is:
```javascript
const attrib = [{foo: { bar: { baz: 'a'}}}, {foo: { bar: { baz: 'b'}}}, {foo: { bar: { baz: 'x'}}}]\r\nattrib.find(({foo: {bar: { baz }}}) => baz === 'x')
```
This test case also uses the `find()` method, but with a destructured object syntax. Instead of passing an object literal to the callback function, it passes a template literal that destructures the object into properties.

**Comparison**

The two test cases compare the performance of using assignment (assign) vs destructuring (destructure) when searching for a value in an array of objects.

**Pros and Cons of Each Approach**

1. **Assignment (Assign)**
	* Pros:
		+ Often easier to read and understand, especially for those unfamiliar with destructured object syntax.
		+ Can be more intuitive for some developers who are used to working with assignment-based code.
	* Cons:
		+ May lead to slower performance due to the overhead of creating a temporary object and comparing it with the desired value.
2. **Destructuring (Destructure)**
	* Pros:
		+ Can lead to more efficient performance, as it avoids the overhead of creating a temporary object and comparing it with the desired value.
		+ Often used in modern JavaScript development due to its concise syntax.
	* Cons:
		+ May be less readable for those unfamiliar with destructured object syntax.

**Library**

None of the test cases use any external libraries. The code is self-contained within the benchmark definition itself.

**Special JS Feature or Syntax**

The test case uses a modern JavaScript feature: Destructured object syntax, which was introduced in ECMAScript 2015 (ES6). This syntax allows for more concise and expressive code by deconstructing objects into properties.

**Other Alternatives**

Other alternatives to compare the performance of these two approaches might include:

1. Using `indexOf()` method instead of `find()`.
2. Using a loop-based approach (e.g., iterating over the array elements) instead of using `find()` or destructuring.
3. Using different data structures, such as an object with nested properties vs an array of objects.

Keep in mind that these alternatives would require additional test cases and modifications to the benchmark definition itself.

Related benchmarks:

Find deep with Assignment of value vs Destructuring an object (version: 0)

Comparing performance of: Assign vs Destructure

Created: 4 years ago by: Guest

Jump to the latest result

Assign

Destructure

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):