Benchmark: hash-sum vs object-hash vs JSON 2221111111

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@2.0.3/dist/object_hash.min.js"></script>

Script Preparation code:

var context1 = {
  title: 'fish',
  position: 1,
  ary: [1, 'b', ['c']]
}

var context2 = {
  title: 'fish',
  position: 1,
  ary: [1, 'b', ['c']]
}

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>

Previous results

Test case name	Result
Sum
Object-hash
JSON.stringify

Fastest: N/A

Slowest: N/A

Latest run results:

No previous run results

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Autogenerated LLM Summary (model llama3.2:3b, generated one year ago):

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Let's dive into the world of JavaScript microbenchmarks!

**Benchmark Definition**

The provided JSON represents a benchmark test case, which is a script that measures the performance of different algorithms for summing up values in an object. There are three test cases:

1. **Sum**: This test case compares the execution time of two functions: `sum(context1)` and `sum(context2)`. The `sum` function is likely implemented by the user, whereas the comparison is done using a predefined implementation.
2. **Object-hash**: This test case measures the performance of an object hashing algorithm (`objectHash`) on the same context objects.
3. **JSON.stringify**: This test case compares the execution time of converting two identical objects to JSON strings using `JSON.stringify`.

**Options Compared**

The benchmark tests different algorithms for summing up values in an object, which can be compared as follows:

* **Sum**: This approach requires implementing a custom sum function, which can lead to a few pros and cons:
	+ Pros: Allows for a direct comparison of the user's implementation with a predefined one.
	+ Cons: The user needs to implement a reliable and efficient sum function, which might not be trivial.
* **Object-hash**: This approach uses an existing library (`object-hash`) to hash objects. The pros and cons are:
	+ Pros: Utilizes an established and tested algorithm, reducing the burden on the user.
	+ Cons: May not provide the most optimal performance, as it relies on an external library.
* **JSON.stringify**: This approach converts identical objects to JSON strings using `JSON.stringify`. The pros and cons are:
	+ Pros: Uses a well-established and widely used method for converting objects to strings.
	+ Cons: Can lead to slower performance due to the overhead of stringifying and parsing objects.

**Library and Purpose**

The two libraries used in this benchmark are:

* **Hash-sum**: This library is likely a custom implementation of a sum function, but its exact purpose is unclear without more context. It's possible that it's designed for a specific use case or industry.
* **Object-hash**: This library provides an object hashing algorithm, which can be useful for various purposes, such as data deduplication, caching, or data compression.

**Special JS Features/Syntax**

There are no special JavaScript features or syntax used in this benchmark. The code only uses standard JavaScript concepts and libraries.

**Other Alternatives**

If you want to create similar benchmarks or test different algorithms, consider the following alternatives:

* **Benchmarking frameworks**: Tools like Benchmark.js, Benchmark-Runner, or microbenchmark can help you write and run efficient benchmarks.
* **Custom implementations**: Instead of using existing libraries, implement your own algorithms for summing up values in an object. This will allow you to control every aspect of the implementation.
* **Native functions**: Use built-in JavaScript functions like `Array.prototype.reduce()` or `Object.values()` to calculate sums, which might be more efficient than custom implementations.

Keep in mind that benchmarking is a complex topic, and there are many factors to consider when designing benchmarks. These alternatives can help you explore different approaches and find the most suitable ones for your specific use case.

Related benchmarks:

hash-sum vs object-hash vs JSON 2221111111 (version: 0)

Comparing performance of: Sum vs Object-hash vs JSON.stringify

Created: 4 years ago by: Guest

Jump to the latest result

Sum

Object-hash

JSON.stringify

Suite status: <idle, ready to run>

Fastest: N/A

Slowest: N/A

No previous run results

Autogenerated LLM Summary (model llama3.2:3b, generated one year ago):