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Check JSON.stringify with different object's complexity
(version: 1)
Comparing performance of:
Empty object vs Small object
Created:
11 months ago
by:
Registered User
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Tests:
Empty object
const emptyObj = {}; JSON.stringify(emptyObj)
Small object
const smallObj = { abcde: 'efghi', efghi: 'jklmn', opqrst: 'uvwxyz' } JSON.stringify(smallObj)
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (2)
Previous results
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Test case name
Result
Empty object
Small object
Fastest:
N/A
Slowest:
N/A
Latest run results:
Run details:
(Test run date:
11 months ago
)
User agent:
Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/137.0.0.0 Safari/537.36
Browser/OS:
Chrome 137 on Windows
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Test name
Executions per second
Empty object
16611135.0 Ops/sec
Small object
6070930.5 Ops/sec
Autogenerated LLM Summary
(model
gpt-4o-mini
, generated 11 months ago):
The benchmark provided evaluates the performance of the JavaScript `JSON.stringify` method with different levels of object complexity. This method is used to convert JavaScript objects into JSON strings, which can be useful for data interchange, storage, or transmission purposes. ### Options Compared The benchmark consists of two test cases: 1. **Empty Object** - **Test Case**: `const emptyObj = {}; JSON.stringify(emptyObj);` - **Description**: Tests the performance of `JSON.stringify` when called on an empty object. 2. **Small Object** - **Test Case**: ```javascript const smallObj = { abcde: 'efghi', efghi: 'jklmn', opqrst: 'uvwxyz' }; JSON.stringify(smallObj); ``` - **Description**: Tests the performance of `JSON.stringify` when called on a small object containing three key-value pairs. ### Pros/Cons of Different Approaches 1. **Empty Object**: - **Pros**: Fastest possible execution time since there are no properties to serialize, making it a baseline for performance measurement. - **Cons**: Does not give clues about how `JSON.stringify` scales with complexity or size, offering limited insights into performance for more complex objects. 2. **Small Object**: - **Pros**: Provides insight into how serialization performance changes with the addition of properties in an object. It simulates a simple but structured data scenario. - **Cons**: Still relatively small, and does not represent larger or nested objects which may reveal more significant performance differences. ### Considerations - **Performance Metrics**: The benchmark measures "Executions Per Second" (EPS), which indicates how many times `JSON.stringify` can convert the defined object in a second. Higher EPS implies better performance. - **Browser and Environment**: The tests are conducted in Chrome (version 137) on a Windows desktop. Results can vary significantly across different browsers and environments, making cross-browser compatibility a relevant consideration. ### Alternatives 1. **Other Object Types**: Additional benchmark cases could involve larger objects, nested objects (objects within objects), and arrays, to examine the performance of `JSON.stringify` comprehensively. 2. **Other Libraries**: While this benchmark specifically focuses on the built-in `JSON.stringify`, there are libraries like [JSON5](https://json5.org/) that extend the functionality of JSON with comments, trailing commas, and more. This could be worth testing if the need arises. 3. **Alternative Serialization Methods**: In addition to `JSON.stringify`, methods like serialization with [BSON](https://bsonspec.org/) (Binary JSON) could be explored, especially in scenarios where performance and data structure matters significantly. ### Conclusion This benchmark effectively evaluates the performance of the `JSON.stringify` method under minimal object complexity, providing a foundation for understanding its execution speed. Further benchmarks with varied object complexities would broaden the understanding of performance and efficiency in various real-world applications.
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