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latest hash-sum vs object-hash vs JSON (with array)
(version: 0)
Comparing performance of: Sum vs Object-hash vs JSON.stringify
Comparing performance of:
Sum vs Object-hash vs JSON.stringify
Created:
2 years ago
by:
Guest
Jump to the latest result
HTML Preparation code:
<script src="https://cdn.jsdelivr.net/npm/hash-sum@2.0.0/hash-sum.min.js"></script> <script src="https://cdn.jsdelivr.net/npm/object-hash@3.0.0/dist/object_hash.min.js"></script>
Script Preparation code:
var context1 = { title: 'fish', position: 1, array: [1, 2, 3, [4, 5, 6]], } var context2 = { title: 'fish', position: 1, array: [1, 2, 3, [4, 5, 6]], array2: [{}, {}, {}], }
Tests:
Sum
sum(context1) === sum(context2)
Object-hash
objectHash(context1) === objectHash(context2)
JSON.stringify
JSON.stringify(context1) === JSON.stringify(context2)
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (3)
Previous results
Fork
Test case name
Result
Sum
Object-hash
JSON.stringify
Fastest:
N/A
Slowest:
N/A
Latest run results:
Run details:
(Test run date:
one year ago
)
User agent:
Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/136.0.0.0 Safari/537.36
Browser/OS:
Chrome 136 on Linux
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Embed Benchmark Result
Test name
Executions per second
Sum
123092.1 Ops/sec
Object-hash
7000.8 Ops/sec
JSON.stringify
2050947.1 Ops/sec
Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
**What is tested?** MeasureThat.net is testing the performance of three different approaches to calculate hash values or string representations from JavaScript objects: 1. **Sum**: Calculates the sum of all properties in an object, including nested arrays. 2. **Object-hash**: Uses a library called `object-hash` (more on this later) to calculate a unique hash value for an object. 3. **JSON.stringify**: Converts an object to a JSON string using the `JSON.stringify()` function. **Options compared** The benchmark is comparing these three approaches: * Sum: The built-in JavaScript method `sum()`, which calculates the sum of all properties in an object. * Object-hash: A library called `object-hash` that provides a way to calculate a unique hash value for an object. * JSON.stringify: The `JSON.stringify()` function, which converts an object to a string representation. **Pros and Cons** * **Sum**: Pros: + Simple to implement + Fast execution time (although not necessarily the fastest) Cons: + Does not guarantee uniqueness or consistency across different browsers or environments. + May fail if there are nested arrays with no numeric properties. * **Object-hash**: Pros: + Guarantees uniqueness and consistency across different browsers or environments. + Can handle complex object structures, including nested arrays. Cons: + Requires an additional library (`object-hash`) to be included in the test. + May have slower execution times compared to `sum()`. * **JSON.stringify**: Pros: + Fast execution time (although not necessarily the fastest) + Simple to implement Cons: + Does not guarantee uniqueness or consistency across different browsers or environments. + Can result in longer string representations due to added whitespace and formatting. **Library: object-hash** The `object-hash` library is used to calculate a unique hash value for an object. The library provides a simple way to generate a hash value from an object, which can be useful in various scenarios, such as data deduplication or caching. **Special JS feature: None mentioned** There are no special JavaScript features or syntaxes being tested or utilized in this benchmark. **Other alternatives** If `object-hash` is not available or preferred, other libraries like `lodash.hash` or `fast-json-stripped` could be used as alternatives. However, the performance and consistency of these libraries may vary compared to `object-hash`. In summary, MeasureThat.net's benchmark provides a useful comparison between three approaches for calculating hash values or string representations from JavaScript objects: sum, object-hash (using a library), and JSON.stringify. The results can help developers choose the most suitable approach depending on their specific use case and requirements.
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