Benchmark: Test of JSON Stringify vs. structuredClone

Script Preparation code:

var myObject = {
    description: 'Creates a deep copy of source, which should be an object or an array.',
    myNumber: 123456789,
    myBoolean: true,
    jayson: {
        stringify: 'JSON.stringify() method converts a JavaScript value to a JSON string....',
        parse: 'JSON.parse() method parses a JSON string...'
    }
};

var myCopy = null;

Tests:

JSON Stringify
myCopy = JSON.parse(JSON.stringify(myObject));
Structured Clone
myCopy = structuredClone(myObject);

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
JSON Stringify
Structured Clone

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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Let's dive into explaining the benchmark and its options.

**Benchmark Purpose**

The benchmark measures the performance difference between two JavaScript methods: `JSON.stringify()` and `structuredClone()`. The purpose is to compare the execution speed of these two methods for serializing and deserializing a deep object structure.

**Options Compared**

The two options being compared are:

1. **`JSON.stringify()`**: This method converts a JavaScript value to a JSON string. It can be used to serialize objects, arrays, and other data types.
2. **`structuredClone()`**: This method creates a deep copy of an object or array, allowing for efficient cloning of complex data structures without the overhead of parsing and serialization.

**Pros and Cons**

* `JSON.stringify()`:
	+ Pros: widely supported, simple to use, and fast for small objects.
	+ Cons: can be slow for large objects due to the need for stringification, may not work well with circular references, and can lead to performance issues when dealing with large datasets.
* `structuredClone()`:
	+ Pros: designed for efficient cloning of complex data structures, provides better support for circular references, and is generally faster than `JSON.stringify()`.
	+ Cons: less widely supported (initially introduced in ECMAScript 2020), requires more memory to store the cloned object, and may not work with older browsers or environments.

**Library/Functionality**

The benchmark uses the following libraries/functions:

* `structuredClone()`: a function introduced in ECMAScript 2020, designed for efficient cloning of complex data structures.
* `JSON.parse()` and `JSON.stringify()`: built-in JavaScript methods for parsing and stringifying JSON data.

**Special JS Feature/Syntax**

There is no special JS feature or syntax used in this benchmark. The focus is on comparing the performance of two standard JavaScript methods.

**Other Considerations**

When choosing between `JSON.stringify()` and `structuredClone()`, consider the following:

* If you need to serialize small objects or work with JSON data, `JSON.stringify()` might be sufficient.
* For large-scale data processing or when dealing with complex data structures, `structuredClone()` is likely a better choice due to its efficiency and support for circular references.

**Alternatives**

Other alternatives for serializing and deserializing data in JavaScript include:

* Using libraries like Lodash or Underscore.js, which provide additional functions for data manipulation and serialization.
* Implementing custom serialization and deserialization logic using techniques like JSON.stringify() with a custom replacer function.
* Utilizing WebAssembly (WASM) or other binary formats for efficient data storage and transfer.

Keep in mind that the choice of method depends on specific use cases, performance requirements, and compatibility considerations.

Related benchmarks:

Test of JSON Stringify vs. structuredClone (version: 0)

Comparing performance of: JSON Stringify vs Structured Clone

Created: 2 years ago by: Guest

Jump to the latest result

JSON Stringify

Structured Clone

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):