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Lodash clone vs JSON parse stringify
(version: 0)
Comparing performance of:
lodash clone vs JSON PARSE
Created:
5 years ago
by:
Guest
Jump to the latest result
HTML Preparation code:
<script src='https://cdnjs.cloudflare.com/ajax/libs/lodash.js/4.17.5/lodash.min.js'></script>
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...' } };
Tests:
lodash clone
const clone = _.clone(MyObject)
JSON PARSE
const clone = JSON.parse(JSON.stringify(MyObject))
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (2)
Previous results
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Test case name
Result
lodash clone
JSON PARSE
Fastest:
N/A
Slowest:
N/A
Latest run results:
Run details:
(Test run date:
9 months ago
)
User agent:
Mozilla/5.0 (iPhone; CPU iPhone OS 18_5 like Mac OS X) AppleWebKit/605.1.15 (KHTML, like Gecko) Version/18.5 Mobile/15E148 Safari/604.1
Browser/OS:
Mobile Safari 18 on iOS 18.5
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Test name
Executions per second
lodash clone
14606144.0 Ops/sec
JSON PARSE
3523548.2 Ops/sec
Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
Let's dive into the world of MeasureThat.net and analyze the provided benchmark. **Benchmark Overview** The benchmark compares two approaches to create a deep copy of an object: using Lodash's `clone` function and parsing a JSON string created from the original object. The goal is to determine which approach is faster. **Options Compared** Two options are being compared: 1. **Lodash Clone**: Using the `_.clone()` function from the Lodash library to create a deep copy of the `MyObject`. 2. **JSON Parse Stringify**: Parsing a JSON string created from the original object using `JSON.parse(JSON.stringify(MyObject))`. **Pros and Cons** * **Lodash Clone**: + Pros: Provides a robust and reliable way to create deep copies, as it handles complex data structures like arrays and objects. + Cons: Requires an external library (Lodash), which may introduce additional dependencies. * **JSON Parse Stringify**: + Pros: Lightweight and doesn't require any external libraries. + Cons: Can be slower than Lodash's `clone` function, as it involves parsing a JSON string and then re-creating the object. **Other Considerations** * The benchmark assumes that the input data is an object with nested structures, such as arrays and other objects. If the input data is simpler, one of the approaches might be faster. * The use of `JSON.stringify()` and `JSON.parse()` methods can lead to additional overhead due to the string conversion and parsing. **Library and Purpose** The Lodash library is a popular utility belt for JavaScript developers, providing a wide range of functions for tasks like array manipulation, object transformation, and more. In this benchmark, `_.clone()` is used to create a deep copy of the input object. **Special JS Feature or Syntax** None are mentioned in this specific benchmark, but it's worth noting that other benchmarks might utilize features like async/await, Promises, or modern JavaScript syntax (e.g., ES6 classes, destructuring). **Alternatives** If you're interested in exploring alternative approaches, here are a few options: * Using the built-in `Object.assign()` method to create a shallow copy of an object. * Implementing a custom deep copy function using recursion or iterative techniques. * Utilizing libraries like Immutable.js for immutable data structures. * Leveraging modern JavaScript features like JSONAtomics (for more efficient JSON operations). Keep in mind that these alternatives might not be as optimized or performant as the Lodash `clone` function or the JSON parse/ stringify approach. I hope this explanation helps you understand the benchmark and its results!
Related benchmarks:
Lodash deep clone vs JSON.stringfy
Lodash cloneDeep vs JSON.parse(JSON.stringify())
Lodash vs structured Clone vs json parse
lodash/cloneDeep vs. JSON.parse(JSON.stringify())
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