Benchmark: Reduce serialize vs JSON serialize with replace

Script Preparation code:

window.address1 = [{ 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.address2 = [{ childrenIndex: 1 }, { 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
)  => {
	const stringifiedAddress = JSON.stringify(address);
	const shortenedAddress = stringifiedAddress
		.replace(/childrenIndex/g, 'c')
		.replace(/toggleIndex/g, 't')
		.replace(/instanceIndex/g, 'i');
	return btoa(shortenedAddress);
};
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 with replace
serializeAddressJSON(window.address1, window.address2)
Reduce serialize
serializeAddressReduce(window.address1, window.address2)

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
JSON serialize with replace
Reduce serialize

Fastest: N/A

Slowest: N/A

Latest run results:

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

LLMs can make mistakes. Check important info.

I'll break down the provided benchmark and its test cases to explain what's being tested, compared, and considered.

**Benchmark Definition JSON**

The benchmark definition is a JSON object that contains two key pieces of information:

1. **Name**: The name of the benchmark, which in this case is "Reduce serialize vs JSON serialize with replace".
2. **Script Preparation Code**: A JavaScript code snippet that sets up two variables `address1` and `address2`, which are used as inputs for the two test cases.

**Individual Test Cases**

There are two individual test cases:

### 1. "JSON serialize with replace"

This test case uses the `serializeAddressJSON` function, which serializes the input addresses using JSON.stringify() and then applies a series of regular expression replacements to shorten the string. The resulting shortened address is encoded using base64.

**Pros:**

* Simple to implement
* Easy to understand

**Cons:**

* May not be as efficient as other methods due to the overhead of encoding and decoding data
* Regular expression replacements can be computationally expensive

### 2. "Reduce serialize"

This test case uses a reduce function, which concatenates the input addresses by replacing each property value with its corresponding abbreviation (e.g., `childrenIndex` becomes `c`, `toggleIndex` becomes `t`, and `instanceIndex` becomes `i`). The resulting concatenated string is then encoded using base64.

**Pros:**

* Can be more efficient than JSON serialization due to the absence of encoding and decoding overhead
* Regular expression replacements are not required, making it potentially faster

**Cons:**

* Requires a good understanding of JavaScript's reduce function and regular expression replacements
* May have performance issues if the input addresses are very large

**Library Used**

There is no library explicitly mentioned in the benchmark definition. However, it can be inferred that `JSON.stringify()` and `btoa()` (base64 encoding) are part of the built-in JavaScript API.

**Special JS Feature/Syntax**

The `serializeAddressReduce` function uses a reduce function, which is a built-in JavaScript feature. It also uses regular expression replacements to shorten the address string, but this is not specific to any particular syntax or library.

**Other Alternatives**

Some other approaches that could be used for serializing and encoding data include:

* Using a custom-built serialization algorithm
* Utilizing a dedicated library like Lodash or moment.js for serializing data
* Implementing a more complex encoding scheme, such as Huffman coding or LZ77 compression

However, the choice of approach depends on specific requirements, performance considerations, and personal preference.

Related benchmarks:

Reduce serialize vs JSON serialize with replace (version: 0)

Comparing performance of: JSON serialize with replace vs Reduce serialize

Created: 3 years ago by: Registered User

Jump to the latest result

JSON serialize with replace

Reduce serialize

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):