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stringify vs lodash deep by cruell
(version: 0)
stringify vs lodash deep by cruell
Comparing performance of:
lodash vs JSON
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 obj = { "id": "0001", "type": "donut", "name": "Cake", "ppu": 0.55, "image": { "url": "images/0001.jpg", "width": 200, "height": 200 }, "thumbnail": { "url": "images/thumbnails/0001.jpg", "width": 32, "height": 32 }, "batters": { "batter": [ { "id": "1001", "type": "Regular" }, { "id": "1002", "type": "Chocolate" }, { "id": "1003", "type": "Blueberry" }, { "id": "1004", "type": "Devil's Food" } ] }, "topping": [ { "id": "5001", "type": "None" }, { "id": "5002", "type": "Glazed" }, { "id": "5005", "type": "Sugar" }, { "id": "5007", "type": "Powdered Sugar" }, { "id": "5006", "type": "Chocolate with Sprinkles" }, { "id": "5003", "type": "Chocolate" }, { "id": "5004", "type": "Maple" } ] };
Tests:
lodash
const objClone = _.cloneDeep(obj);
JSON
const objClone = JSON.parse(JSON.stringify(obj));
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (2)
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Test case name
Result
lodash
JSON
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 benchmark and its options for you. **Benchmark Overview** The provided JSON represents a JavaScript microbenchmark test case created using MeasureThat.net. The test compares two approaches to serialize (convert to string) a complex JavaScript object: `JSON` and `_lodash.cloneDeep()` from the Lodash library. **Options Compared** 1. **JSON**: Serializes an object by converting its properties to key-value pairs, wrapping each pair in double quotes, and separating them with commas. 2. **_lodash.cloneDeep()**: Creates a deep copy of an object using Lodash's `cloneDeep()` function. This approach recursively clones all nested objects and arrays, ensuring that no references between the original and cloned objects are maintained. **Pros and Cons** * **JSON:** * Pros: * Simple to implement. * Fast serialization time due to its simplicity. * Cons: * Loss of references to nested objects, which can lead to unexpected behavior or errors when working with cloned data. * May not be suitable for complex object graphs. * **_lodash.cloneDeep():** * Pros: * Preserves the original object's structure and references. * More suitable for complex object graphs due to its ability to recursively clone nested objects and arrays. * Cons: * Slower serialization time compared to `JSON` due to its complexity. **Library: Lodash** Lodash is a popular JavaScript utility library that provides a wide range of functions for tasks such as string manipulation, array operations, and more. In this benchmark, Lodash's `cloneDeep()` function is used to create a deep copy of the original object. The inclusion of the Lodash library in the benchmark preparation code (`"Html Preparation Code": "<script src='https://cdnjs.cloudflare.com/ajax/libs/lodash.js/4.17.5/lodash.min.js'></script>"`) allows MeasureThat.net to execute the benchmark with this specific implementation, making it easier for users to compare the performance of different serialization approaches. **Special JavaScript Feature or Syntax** In this benchmark, no special JavaScript features or syntax are used beyond the standard language. However, some advanced concepts like object literals (`var obj = {...};`) and array notation (`var batters = [...];`) are utilized to define the test objects. **Other Alternatives** For serializing JavaScript objects, other alternatives besides `JSON` and `_lodash.cloneDeep()` include: * **XML**: Serializes an object by converting its properties to XML elements and attributes. * **YAML**: Serializes an object using YAML format, which is similar to JSON but with more complex syntax. * **JQuery`.serializeArray():` Serializes a jQuery object into an array of key-value pairs. Keep in mind that these alternatives may not be as straightforward or widely supported as `JSON`, especially when it comes to preserving references and handling nested objects.
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