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structuredClone vs spread vs parse
(version: 0)
Comparing performance of:
structuredClone vs Spread vs Json
Created:
3 years ago
by:
Guest
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Script Preparation code:
var voucher = { "single": false, "applyOverTaxes": false, "discountType": "1", "value": 100, "minimumAmount": 0, "quantity": 1, "suffixLength": 8, "code": "IF5R0AFX", "vertical": [], "allowedPaymentMethods": [], "allowedBanks": [], "types": [], "partners": [], "startDate": "2020-10-21T00:00:00.000Z", "endDate": "2020-10-21T00:00:00.000Z", "applyed": false }
Tests:
structuredClone
const copy = window.structuredClone(voucher);
Spread
const copy = { ...voucher };
Json
const copy = JSON.parse(JSON.stringify(voucher))
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (3)
Previous results
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Test case name
Result
structuredClone
Spread
Json
Fastest:
N/A
Slowest:
N/A
Latest run results:
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Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
Let's dive into the explanation of the provided benchmark. **Benchmark Overview** The benchmark measures the performance of three methods for creating a deep copy of an object: `structuredClone`, spread operator (`{ ... }`), and `JSON.parse(JSON.stringify())`. The test case uses a predefined JSON object called `voucher` that contains various properties, including nested objects and arrays. **Options Compared** The benchmark compares the performance of the following options: 1. **structuredClone**: A new method introduced in ECMAScript 2020 (JavaScript version 2020+) for creating a deep copy of an object. 2. **Spread Operator (`{ ... }`)**: A shorthand way to create a new object by spreading the properties of an existing object. 3. **JSON.parse(JSON.stringify())**: A method that uses JSON serialization and deserialization to create a deep copy of an object. **Pros and Cons** Here's a brief overview of each option: 1. **structuredClone** * Pros: Efficient, modern, and supported by most modern browsers and Node.js versions. * Cons: Not widely supported yet (JavaScript version 2020+ only), might be slower than other methods due to the additional overhead of creating a new object. 2. **Spread Operator (`{ ... }`)** * Pros: Wide support across browsers and Node.js versions, easy to implement, and fast performance. * Cons: Might not work as expected with complex or deeply nested objects, can be slower than `structuredClone` for very large objects due to the creation of multiple intermediate objects. 3. **JSON.parse(JSON.stringify())** * Pros: Widely supported across browsers and Node.js versions, works well with complex objects. * Cons: Can be slower than other methods, especially for large objects, as it involves additional serialization and deserialization steps. **Library or Special JS Feature** In this benchmark, there is no library used explicitly. However, the `structuredClone` method relies on the implementation of the `JSON` object in JavaScript engines to create a deep copy of an object. The spread operator (`{ ... }`) is also implemented natively in most browsers and Node.js versions. **Other Considerations** When choosing a method for creating a deep copy of an object, consider factors such as: * Performance: `structuredClone` might be the best choice if you need high performance and are using modern JavaScript versions. The spread operator can be faster for small to medium-sized objects. * Compatibility: If you need to support older browsers or Node.js versions, the spread operator or `JSON.parse(JSON.stringify())` might be a better choice. **Alternatives** If you're not comfortable with the spread operator or don't want to use modern JavaScript versions, consider the following alternatives: 1. **Lodash's `cloneDeep()`**: A popular library that provides a deep copy function for objects. 2. **JSON.parse(JSON.stringify())**: As mentioned earlier, this method is widely supported and can be used to create a deep copy of an object. 3. **For...of loop with Object.assign()**: Another way to create a deep copy of an object by using the `Object.assign()` method. Keep in mind that these alternatives might have different performance characteristics or compatibility issues compared to the methods used in this benchmark.
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