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JSON.stringify vs structuredClone 2
(version: 0)
JSON.stringify vs structuredClone
Comparing performance of:
JSON.stringify vs structuredClone
Created:
2 years ago
by:
Guest
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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...' } }; let nextItem = MyObject; for (let i = 0; i<10; i++) { nextItem.child = JSON.parse(JSON.stringify(MyObject)); nextItem = nextItem.child; } var myCopy = null;
Tests:
JSON.stringify
myCopy = JSON.parse(JSON.stringify(MyObject));
structuredClone
myCopy = structuredClone(MyObject);
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (2)
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Test case name
Result
JSON.stringify
structuredClone
Fastest:
N/A
Slowest:
N/A
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Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
Let's dive into the world of JavaScript microbenchmarks on MeasureThat.net. The benchmark you provided is designed to compare two methods for creating a copy of an object: `JSON.stringify` and `structuredClone`. Here's what each method does: 1. `JSON.stringify()`: This method converts a JavaScript value to a JSON string, which can be used to serialize the object. However, this process creates a shallow copy of the object, where only the top-level properties are copied. If the object contains nested objects or arrays, those will also be copied. The resulting string can be used to recreate the original object using `JSON.parse()`. 2. `structuredClone()`: This method is designed to create a deep copy of an object, including all its nested properties and arrays. It's intended for use cases where you need to preserve the structure of the original object. Now, let's discuss the pros and cons of each approach: **`JSON.stringify()`** Pros: * Widely supported in most browsers and Node.js versions * Easy to implement * Can be used to serialize objects for storage or transmission Cons: * Creates a shallow copy, which may not be suitable for all use cases (e.g., preserving object references) * Can lead to slower performance due to the parsing and stringification process * Limited control over the resulting JSON string format **`structuredClone()`** Pros: * Specifically designed for deep copying objects and arrays * Preserves the structure of the original object, including all nested properties and arrays * May be faster than `JSON.stringify()` for large objects due to its optimized implementation Cons: * Still a relatively new feature (introduced in Chrome 87 and Node.js 14) * Not yet widely supported in older browsers or versions * Requires careful consideration of any dependencies or libraries used by the original object Other considerations: * Both methods create a copy of the original object, but `structuredClone()` is more suitable for use cases where preserving the object's structure is critical. * If you need to serialize an object for storage or transmission, `JSON.stringify()` might be sufficient. However, if you need to preserve the object's internal state or ensure that all dependencies are copied, `structuredClone()` might be a better choice. Regarding libraries or special JS features: In this benchmark, there is no specific library used beyond the built-in `JSON` and `structuredClone` functions. However, it's worth noting that if you're working with large objects or complex data structures, you might need to use additional techniques or libraries to optimize performance or ensure proper serialization.
Related benchmarks:
Lodash cloneDeep vs structuredClone vs JSON-JSON
JSON.stringify vs structuredClone (with deeply nested objects)
Lodash cloneDeep vs structuredClone vs JSON Parse (100 000 objects)
lodash clonedeep vs json.parse(stringify()) vs recursivecopy heavy
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