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Comparing performance of:
a vs b vs c
Created:
5 years ago
by:
Guest
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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...' } }, { 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...' } },{ 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...' } },{ 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:
a
myCopy = _.cloneDeep(MyObject);
b
myCopy = JSON.parse(JSON.stringify(MyObject));
c
myCopy = {...MyObject}
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (3)
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Test case name
Result
a
b
c
Fastest:
N/A
Slowest:
N/A
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Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
I'll break down the provided benchmark definition and test cases, explaining what's being tested, the options compared, pros and cons of each approach, and other considerations. **Benchmark Definition JSON** The benchmark definition represents a JavaScript function that creates a deep copy of an object using three different methods: 1. `_.cloneDeep(MyObject)` 2. `JSON.parse(JSON.stringify(MyObject))` 3. `{...MyObject}` (using the spread operator) These functions are compared to measure their performance. **Individual Test Cases** Each test case represents a single benchmark, with the following characteristics: * **Test Name**: A unique identifier for the benchmark. * **Benchmark Definition**: The JavaScript code that creates a deep copy of the `MyObject` using one of the three methods listed above. * **Script Preparation Code**: Additional JavaScript code that sets up the environment for the benchmark. In this case, it initializes an object called `MyObject` with some properties. **What's being tested** The benchmark is testing the performance of three different methods for creating a deep copy of an object: 1. Using Lodash's `cloneDeep` function. 2. Using `JSON.parse(JSON.stringify(MyObject))`. 3. Using the spread operator (`{...MyObject}`). These methods are compared to determine which one is fastest. **Pros and Cons of each approach** Here's a brief overview of the pros and cons of each approach: 1. **Lodash's `cloneDeep` function**: This method is designed specifically for creating deep copies of objects and arrays. It's usually fast and reliable, but may have dependencies on external libraries. * Pros: Fast, reliable, and well-maintained. * Cons: May require an extra dependency (Lodash). 2. **JSON.parse(JSON.stringify(MyObject))**: This method is a built-in JavaScript function that converts an object to a JSON string and then parses it back into an object. However, this method can be slow for large objects because it has to serialize and deserialize the entire object. * Pros: Built-in JavaScript function, no dependencies required. * Cons: Can be slow for large objects due to serialization and deserialization. 3. **Spread operator (`{...MyObject}`)**: This method is a relatively recent addition to JavaScript (introduced in ES6) that creates a new object by spreading the properties of an existing object. It's generally fast but may not work as expected if the object has complex nested structures. * Pros: Fast, modern and widely adopted syntax. * Cons: May not work correctly for all types of objects. **Other considerations** Some additional considerations when evaluating these approaches: * **Memory usage**: The spread operator method is likely to use less memory than the `cloneDeep` function or `JSON.parse(JSON.stringify(MyObject))`, since it creates a new object without copying the entire original object. * **Type safety**: The `cloneDeep` function returns an exact copy of the original object, while the spread operator method may create a shallow copy if the original object has complex nested structures. **Alternatives** If you want to test other approaches for creating deep copies of objects, some alternatives could be: * Using a library like `immer` or `refetch` that provides more efficient and type-safe ways to create deep copies. * Implementing your own custom deep copy function using bitwise operations or recursive functions. * Testing alternative methods like `Object.assign()` or `Array.prototype.slice()` for creating shallow copies.
Related benchmarks:
Lodash cloneDeep vs JSON Clone Array
lodash clonedeep vs json.parse(stringify()) 666
Plain Json: lodash clonedeep vs json.parse(stringify())
lodash vs JSON22
JSON.stringify vs structuredClone (with deeply nested objects)
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