Benchmark: Reduce-based serialize vs JSON serialize

Script Preparation code:

window.address = [{ childrenIndex: 0 }, { toggleIndex: 1 }, { instanceIndex: 2 }, { childrenIndex: 0 }, { toggleIndex: 1 }, { instanceIndex: 2 }, { childrenIndex: 0 }, { toggleIndex: 1 }, { instanceIndex: 2 }, { childrenIndex: 0 }, { toggleIndex: 1 }, { instanceIndex: 2 }, { childrenIndex: 0 }, { toggleIndex: 1 }, { instanceIndex: 2 }];

window.serializeAddressJSON = (address) => JSON.stringify(address);
window.serializeAddressReduce = (address) =>
	address.reduce((serialized, point) => {
		const { childrenIndex, toggleIndex, instanceIndex } = point;

		let pointCode;
		if (childrenIndex !== undefined) {
			pointCode = `c${childrenIndex}`;
		}
		if (toggleIndex !== undefined) {
			pointCode = `t${toggleIndex}`;
		}
		if (instanceIndex !== undefined) {
			pointCode = `i${instanceIndex}`;
		}

		return `${serialized}${pointCode}`;
	}, '');

Tests:

JSON serialize
serializeAddressJSON(window.address)
Reduce serialize
serializeAddressReduce(window.address)

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
JSON serialize
Reduce serialize

Fastest: N/A

Slowest: N/A

Latest run results:

Run details: (Test run date: 6 months ago)

User agent: Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/146.0.0.0 Safari/537.36

Browser/OS: Chrome 146 on Mac OS X 10.15.7

View result in a separate tab

Reduce serialize

4.3M/s

JSON serialize

2.9M/s

View exact numbers

Test name	Executions per second
✓ Reduce serialize	4,270,713 Ops/sec
JSON serialize	2,895,620 Ops/sec

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

LLMs can make mistakes. Check important info.

Let's break down the provided benchmark and explain what's being tested, along with the pros and cons of each approach.

**Benchmark Definition**

The benchmark compares two approaches to serializing a specific data structure: JSON serialization using `JSON.stringify()` and reduce-based serialization.

**Data Structure**

The data structure consists of an array of objects, where each object has three properties: `childrenIndex`, `toggleIndex`, and `instanceIndex`. The goal is to serialize this data structure in two different ways:

1. **JSON Serialization**: Using the `JSON.stringify()` method, which converts a JavaScript value (in this case, the entire `address` array) into a JSON string.
2. **Reduce-Based Serialization**: Implementing a custom reduce function that concatenates strings representing the child indices (`c`), toggle indices (`t`), and instance indices (`i`) from each object in the array.

**Library**

There is no explicit library mentioned, but `JSON.stringify()` is a built-in JavaScript method for serializing JSON data. The custom reduce function used in the **Reduce serialize** approach is also a part of the standard JavaScript API.

**Special JS Feature or Syntax**

The only special feature/syntax used here is the use of string interpolation (`${ }`) to concatenate strings, which is a modern JavaScript syntax introduced in ECMAScript 2015 (ES6).

**Options Compared**

Two options are compared:

1. **JSON Serialization**: Using `JSON.stringify()` to serialize the data structure.
2. **Reduce-Based Serialization**: Implementing a custom reduce function to concatenate strings representing child indices, toggle indices, and instance indices.

**Pros and Cons of Each Approach**

**JSON Serialization**

Pros:

* Simple and well-established method
* Widely supported by most browsers and JavaScript engines

Cons:

* May not be as efficient as custom implementations for specific use cases
* Can result in larger serialized data due to the overhead of additional characters (e.g., double quotes)

**Reduce-Based Serialization**

Pros:

* Can be more efficient than JSON serialization, especially for large datasets
* Allows for fine-grained control over the serialization process

Cons:

* Requires implementing a custom reduce function, which can add complexity
* May not be as widely supported by browsers and JavaScript engines

**Considerations**

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

* Performance: If efficiency is crucial, the custom reduce-based approach might be a better choice. However, if simplicity and broad compatibility are more important, JSON serialization might be sufficient.
* Control: If you need to customize the serialization process or ensure specific output formatting, the reduce-based approach provides more control.

**Other Alternatives**

If neither of these approaches is suitable for your use case, consider alternative serialization methods:

* **String Concatenation**: Using string concatenation operators (`+`) instead of `JSON.stringify()`.
* **Template Literals**: Using template literals (e.g., `${}`) to serialize data.
* **External Libraries**: Utilizing external libraries like JSON or serialization-specific tools for more complex data structures.

Keep in mind that each alternative has its own trade-offs and may not be as efficient or widely supported as the built-in JavaScript methods.

Reduce-based serialize vs JSON serialize (version: 0) Benchmark.js

Comparing performance of: `JSON serialize vs Reduce serialize`

Created: 3 years ago by: Registered User

Go to the latest result

JSON serialize

Reduce serialize

Suite status: <idle, ready to run>

Fastest: N/A

Slowest: N/A

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

Reduce-based serialize vs JSON serialize (version: 0) Benchmark.js

Comparing performance of: JSON serialize vs Reduce serialize

Created: 3 years ago by: Registered User

Go to the latest result

JSON serialize

Reduce serialize

Suite status: <idle, ready to run>

Fastest: N/A

Slowest: N/A

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

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