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Underscore clone vs JSON Clone
(version: 0)
Comparing performance of:
Lodash cloneDeep vs Json clone
Created:
6 years ago
by:
Guest
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HTML Preparation code:
<script src='https://cdnjs.cloudflare.com/ajax/libs/underscore.js/1.8.3/underscore-min.js'></script>
Script Preparation code:
var MyObject = [{dateOfBirth_dateOfBirth: "babyBoomers", headcount: 644},{dateOfBirth_dateOfBirth: "genX", headcount: 605},{dateOfBirth_dateOfBirth: "millennial", headcount: 805}]; var myCopy = [];
Tests:
Lodash cloneDeep
_.each(MyObject, function(d) { myCopy.push(_.clone(d)); });
Json clone
myCopy = 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 cloneDeep
Json clone
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 JSON benchmark definition, explain what's being tested, and discuss the pros and cons of different approaches. **Benchmark Definition:** The test case compares two methods for creating copies of an object: 1. `JSON.parse(JSON.stringify(MyObject))`: This method uses the `JSON` API to serialize the original object (`MyObject`) into a JSON string, and then parses that string back into a new object. 2. `_ (function(d) { myCopy.push(_.clone(d)); })(MyObject)`: This method uses the Underscore.js library's `cloneDeep` function to create a deep copy of each object in the array (`MyObject`) and stores it in a new array (`myCopy`). **Options Compared:** The two methods being tested are: 1. **JSON Clone**: Uses `JSON.parse(JSON.stringify())` to create a shallow copy of the original object. 2. **Lodash Clone Deep**: Uses Underscore.js's `cloneDeep` function to create a deep copy of each object in the array. **Pros and Cons:** **JSON Clone:** Pros: * Fast and lightweight, as it only requires JSON serialization and parsing. * Simple to implement, as it doesn't require any additional libraries. Cons: * Creates a **shallow copy**, meaning that only the top-level properties of the original object are copied. This can lead to unexpected behavior if the objects contain nested references or complex data structures. * Can be slower for large datasets, since JSON serialization and parsing can be expensive operations. **Lodash Clone Deep:** Pros: * Creates a **deep copy**, meaning that all nested references and complex data structures are preserved. * Can handle larger datasets more efficiently, as it avoids the overhead of JSON serialization and parsing. * More robust and predictable behavior, especially for objects with intricate data structures. Cons: * Requires an additional library (Underscore.js), which can add to the overall size and complexity of the codebase. * Can be slower than the JSON clone method for very large datasets, since it needs to execute the `cloneDeep` function on each object in the array. **Library:** The Underscore.js library is a popular utility library for JavaScript that provides various helper functions for tasks such as data manipulation, functional programming, and more. In this case, the `cloneDeep` function is used to create a deep copy of objects, which is essential for the test case. **Special JS Feature/Syntax:** None mentioned in this explanation. **Alternatives:** Other alternatives for creating copies of objects include: 1. **Object.assign()**: This method creates a shallow copy of an object by assigning its properties to a new object. 2. **Array.prototype.slice() + Object.assign()**: This method creates a deep copy of an array by using `slice()` to create a shallow copy, and then assigning the resulting array's elements to a new object using `Object.assign()`. 3. **lodash.clone()**: Similar to Underscore.js's `cloneDeep`, but part of the Lodash library. 4. **json-stringify-safe() + JSON.parse()**: This method uses the `json-stringify-safe` library to create a deep copy of an object by serializing it as JSON and then parsing that string back into a new object. Keep in mind that each of these alternatives has its own pros and cons, and may be more or less suitable depending on your specific use case.
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