Benchmark: Stringify vs Assign

Script Preparation code:

var obj = {
		"crossKey": "EURUSD",
		"dayLowPrice": 1.13045,
		"dayHighPrice": 1.13535,
		"previousClosePrice": 1.13215,
		"priceHist1": 107190404,
		"priceHist2": 250587665,
		"priceHist3": 765906410,
		"priceHist4": 274925633,
		"sparkline": 102925375,
		"spotPrice": 1.1307,
		"midPrice": 1.1307,
		"precision": 4,
		"percentChanged": -0.128,
		"threeMonthForecast": 1.08,
		"sixMonthForecast": 1.04,
		"tradable": true,
		"deliverable": true,
		"key": "EURUSD",
		"displayName": "EUR USD",
		"symbolId": "EURUSD",
		"objectId": 1,
		"assetType": "fx",
		"percentChange": -0.13,
		"selected": true,
		"lineChart": "9991581684158672254519078266440407",
		"barChart": [9, 43, 92, 47, 41, 21, 75, 32, 51, 19, 56, 97, 89, 36, 70, 2, 83, 61, 88, 47, 31, 54],
		"candleChart": "3869460804391469604270058742695196",
		"midPriceModel": "Price: key EURUSD, rate 1.1307, precision 4, appendFrac false, => 1.13 07 ",
		"spotPriceModel": "Price: key EURUSD, rate 1.1307, precision 4, appendFrac false, => 1.13 07 ",
		"crossCurrencies": ["EUR", "USD"],
		"unpackedSparkLine": {
			"price": 2,
			"priceDirection": 1,
			"fiveMinHigh": 4,
			"fiveMinLow": 0,
			"spike": 0,
			"scale": 30
		},
		"priceHistory": [3, 6, 7, 6, 4, 4, 7, 14, 31, 10, 16, 17, 22, 26, 13, 19, 15, 10, 8, 6, 6, 2, 2, 1]
	};

Tests:

Stringify
console.log(JSON.parse(JSON.stringify(obj)));
Object.assign
Object.assign({}, obj)

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Stringify
Object.assign

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 what's being tested in the provided JSON, explain the options compared, and discuss their pros and cons.

**Benchmark Definition**

The benchmark definition is comparing two approaches to create a copy of an object: `JSON.parse(JSON.stringify(obj))` (Stringify) and `Object.assign({}, obj)` (Object.assign).

**Options Compared**

1. **Stringify**: This approach uses the `JSON.parse()` function to convert the JSON string representation of the original object (`obj`) back into a JavaScript object, which is then assigned to a new variable. The resulting object is a deep copy of the original object.
2. **Object.assign()**: This approach uses the `Object.assign()` method to create a shallow copy of the original object (`obj`). The object being copied must have all its enumerable own properties (i.e., its keys) directly accessible.

**Pros and Cons**

1. **Stringify**:
	* Pros: It creates a deep copy of the original object, which can be useful for complex objects with nested structures.
	* Cons: It can be slower than `Object.assign()` because it involves parsing and serializing the JSON string representation of the object.
2. **Object.assign()**:
	* Pros: It is generally faster than `Stringify` because it only needs to iterate over the enumerable own properties of the original object, without needing to parse or serialize the data.
	* Cons: If the original object has nested structures that contain other objects, `Object.assign()` will only create a shallow copy of those inner objects. For deep copies, you need to use `JSON.parse(JSON.stringify(obj))`.

**Library and Special JS Features**

In this benchmark, neither library nor special JS features are explicitly mentioned.

**Alternatives**

If you want to compare the performance of different methods for creating object copies, here are some alternatives:

* **Spread operator (`{...obj}`)**: This method is similar to `Object.assign()`, but it's a more concise and modern way to create a shallow copy.
* **`JSON.parse(JSON.stringify(obj))` with custom replacer**: If you need to control which properties are copied, you can use the `replacer` option of the `JSON.stringify()` function. This method is similar to `Object.assign()`, but it provides more flexibility.

Keep in mind that the choice of method for creating object copies ultimately depends on your specific use case and requirements.

Related benchmarks:

Stringify vs Assign (version: 0)

Comparing performance of: Stringify vs Object.assign

Created: 6 years ago by: Guest

Jump to the latest result

Stringify

Object.assign

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):