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JSON.parse(JSON.stringify( vs structuredClone( FIXED
(version: 0)
Comparing performance of:
JSON.parse(JSON.stringify( vs structuredClone(
Created:
2 years ago
by:
Guest
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Tests:
JSON.parse(JSON.stringify(
const myObj1 = {}; const numLoops = 1000000; for (let i = 0; i < numLoops; i += 1){ const myObj2 = JSON.parse(JSON.stringify(myObj1)); }
structuredClone(
const myObj1 = {}; const numLoops = 1000000; for (let i = 0; i < numLoops; i += 1){ const myObj2 = structuredClone(myObj1); }
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Suite status:
<idle, ready to run>
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Test case name
Result
JSON.parse(JSON.stringify(
structuredClone(
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N/A
Slowest:
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Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
Let's dive into the benchmark and explain what's being tested. The provided JSON represents a JavaScript microbenchmark test case on MeasureThat.net. The test is designed to compare the performance of two different methods for serializing and deserializing objects in JavaScript: `JSON.parse(JSON.stringify())` and `structuredClone()`. **Options Being Compared:** 1. **JSON.parse(JSON.stringify())**: This method uses the `JSON.stringify()` function to serialize an object, which converts it into a string representation. Then, it uses `JSON.parse()` to deserialize the string back into an object. 2. **structuredClone()**: This is a newer method introduced in ECMAScript 2020 (ES2020) that provides a way to create a deep copy of an object without using recursion or other complex algorithms. **Pros and Cons:** * **JSON.parse(JSON.stringify())**: + Pros: Wide support across older browsers and engines, simple implementation. + Cons: Can lead to issues with circular references (if the input object has cyclic dependencies), as it will only create a shallow copy. It also can be slow for large objects due to string concatenation. * **structuredClone()**: + Pros: Provides a more efficient and safer way of creating deep copies, especially when dealing with complex objects. It's also designed specifically for this use case and is likely to be faster and more accurate than the older method. + Cons: Requires support for ES2020 or later, which might not be present in all environments. **Library Usage:** None of the provided test cases uses a library. Both methods are built-in to JavaScript and rely on the `JSON` object. **Special JS Feature/Syntax:** Neither test case uses any special JavaScript features or syntax. The focus is solely on comparing the performance of the two serialization/deserialization methods. **Other Considerations:** When choosing between these two methods, consider the following: * If you're working with simple objects and need a quick workaround, `JSON.parse(JSON.stringify())` might be sufficient. * For more complex objects or when precision is crucial (e.g., due to circular references), use `structuredClone()`. * Be aware that `JSON.parse(JSON.stringify())` can lead to performance issues for large objects. **Alternatives:** Other alternatives for serializing and deserializing JavaScript objects include: 1. **Lodash's `cloneDeep()`**: A popular utility library that provides a deep-clone function. 2. **Array.prototype.slice() + JSON.stringify()`: Another approach that uses the `slice()` method to create a shallow copy of an array or object, followed by `JSON.stringify()` for serialization. 3. **For...of loops and Array.from()**: These methods can be used to manually iterate over objects and create deep copies. Keep in mind that each alternative has its own trade-offs and may not offer the same level of performance or accuracy as `structuredClone()` if you're working with complex data structures.
Related benchmarks:
JSON.stringify + JSON.parse vs structuredClone
Lodash cloneDeep vs structuredClone vs JSON Parse (deep object)
JSON.parse + JSON.stringify vs structuredClone (cyclical graph)
Lodash cloneDeep vs structuredClone vs JSON-JSON
Lodash cloneDeep vs structuredClone vs JSON.parse + JSON.stringify but with big data
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