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lodash isEqual vs JSON.stringify
(version: 1)
Comparing performance of:
_.isEqual vs JSON.stringify
Created:
one year ago
by:
Guest
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HTML Preparation code:
<script src="https://cdn.jsdelivr.net/npm/lodash@4.17.4/lodash.min.js"></script>
Script Preparation code:
const obj1 = { boolVal: true, arrVal: [ "string 1", "string 2", "string 3", "string 4", "string 5", "string 6", "string 7", ] }; const obj2 = { boolVal: true, arrVal: [ "string 1", "string 2", "string 3", "string 4", "string 5", "string 6", "string 7", ] };
Tests:
_.isEqual
_.isEqual(obj1, obj2);
JSON.stringify
JSON.stringify(obj1) === JSON.stringify(obj2);
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (2)
Previous results
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Test case name
Result
_.isEqual
JSON.stringify
Fastest:
N/A
Slowest:
N/A
Latest run results:
Run details:
(Test run date:
one year ago
)
User agent:
Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/134.0.0.0 Safari/537.36
Browser/OS:
Chrome 134 on Mac OS X 10.15.7
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Embed Benchmark Result
Test name
Executions per second
_.isEqual
2734971.0 Ops/sec
JSON.stringify
2695942.0 Ops/sec
Autogenerated LLM Summary
(model
gpt-4o-mini
, generated one year ago):
The benchmark being tested compares two methods of deep equality checking in JavaScript: using the `lodash` library's `_.isEqual` method versus using the built-in `JSON.stringify` method for comparison. ### Options Compared 1. **`_.isEqual` Method (from Lodash)** - **Description**: This function from the `lodash` library performs a deep comparison between two values to determine if they are equivalent. Lodash handles various data types and checks for structural equality rather than just reference equality. - **Library Purpose**: Lodash is a utility library that provides functions for common programming tasks, making it easier to work with arrays, numbers, objects, strings, and more while promoting readability and efficiency in JavaScript. 2. **`JSON.stringify` Method** - **Description**: This method converts JavaScript objects into JSON strings, then compares those string representations. In this case, two objects are serialized and checked for equality in their string form. - **Advantages**: Simple and straightforward to implement for plain objects that can be effectively serialized into JSON. ### Pros and Cons of Each Approach #### Pros of `_.isEqual`: - **Handles Complex Types**: Capable of comparing complex nested structures, including arrays and objects, taking into account ordering and prototype chains. - **Handles Edge Cases**: Designed to correctly handle edge cases like comparing `NaN`, functions, and cyclic references. #### Cons of `_.isEqual`: - **Performance Overhead**: Might be slower than simple equality checks because it deeply analyzes each property and value. - **Dependency**: Requires loading the `lodash` library, which adds external dependencies to the project. #### Pros of `JSON.stringify`: - **Simplicity**: Straightforward to use with minimal setup, ideal for simple data structures. - **Performance**: Faster execution for flat objects due to the straightforward string comparison after serialization. #### Cons of `JSON.stringify`: - **Loss of Information**: May not handle all data types (e.g., functions, `undefined`, `Symbol`, etc.) correctly, leading to incorrect comparisons for complex objects. - **Serialization Order**: Does not guarantee the order of properties, which can lead to false negatives if object property order differs. ### Benchmark Results From the benchmark results provided, we see that `JSON.stringify` has a higher execution count, with **2,933,073** executions per second compared to `_.isEqual`, which achieved **2,605,226** executions per second. This indicates that `JSON.stringify` is generally faster in scenarios with non-complex structures, while `_.isEqual` provides a more thorough and safer way to perform equality checks for complex data. ### Other Considerations - **Alternatives**: Other techniques for checking object equality include: - **Utilizing the `===` operator**: This only checks for reference equality, not structure. - **Deep comparison libraries**: Libraries like `deep-equal` or `fast-deep-equal` that are designed specifically for performance-sensitive deep equality checks. - **Custom Comparison Functions**: Developers can write tailored functions that fit specific use cases, balancing performance and functionality. In conclusion, while both methods have their advantages and trade-offs, the choice between them should be guided by the specific requirements of the application, such as data complexity, performance needs, and tolerance for external dependencies.
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