Benchmark: hash-sum vs object-hash vs JSON

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
}

var context2 = {
  title: 'fish',
  position: 1
}

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

Autogenerated LLM Summary (model llama3.2:3b, generated 27 days ago):

LLMs can make mistakes. Check important info.

**Overview**

The provided JSON represents a JavaScript benchmark created using MeasureThat.net, where users can compare the performance of different hashing functions: `hash-sum`, `object-hash`, and `JSON`. The benchmark consists of three individual test cases.

**Benchmark Definition**

The benchmark definition provides an overview of what is being tested. In this case:

*   `sum(context1) === sum(context2)` tests the equality of two sums calculated using the `hash-sum` function.
*   `objectHash(context1) === objectHash(context2)` tests the equality of two hashes calculated using the `object-hash` function.
*   `JSON.stringify(context1) === JSON.stringify(context2)` tests the equality of two strings generated by serializing an object using `JSON.stringify`.

**Options Compared**

The three test cases compare different hashing functions:

*   **hash-sum**: A simple hash function that sums all elements in an array. This approach is straightforward but may not be suitable for large datasets or complex data structures.
*   **object-hash**: A more sophisticated hash function designed to handle objects and arrays with key-value pairs. It uses a combination of hashing algorithms to ensure fast lookups and minimal collisions.
*   **JSON.stringify**: Not a traditional hashing function, but rather a way to serialize an object into a string format. This approach is useful for data storage or transmission but not suitable for hash-based operations.

**Pros and Cons**

Here's a brief overview of the pros and cons of each approach:

### Hash-sum

*   Pros:
    *   Simple implementation
    *   Fast execution time (O(n))
*   Cons:
    *   May not handle large datasets or complex data structures efficiently
    *   Can produce collisions if the hash function is not well-designed

### Object-hash

*   Pros:
    *   Robust and efficient handling of objects and arrays with key-value pairs
    *   Minimizes collisions through a combination of hashing algorithms
*   Cons:
    *   More complex implementation compared to hash-sum
    *   May require additional memory or processing power for large datasets

### JSON.stringify

*   Pros:
    *   Fast execution time (O(n)) and minimal memory usage
    *   Suitable for data storage or transmission
*   Cons:
    *   Not designed for hash-based operations; produces a string representation rather than a numerical hash value
    *   Limited scalability for large datasets

**Library Usage**

The `object-hash` library is used to generate hashes for objects and arrays. This library provides an efficient and robust way to handle complex data structures.

**Special JS Features or Syntax**

None of the test cases rely on special JavaScript features or syntax, making them accessible to a wide range of developers.

**Alternative Approaches**

If you're looking for alternative approaches, consider the following:

*   **MurmurHash**: A highly efficient and robust hash function designed for performance-critical applications.
*   **PBKDF2**: A password-based key derivation function suitable for generating strong hashes from passwords or other secret keys.
*   **Blake2**: A family of cryptographic hash functions that offer high security, speed, and efficiency.

These alternatives may be more suitable depending on your specific use case and performance requirements. Always evaluate their pros and cons before selecting an approach for your project.

Latest run results:

Run details: (Test run date: 2 years ago)

User agent: Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/96.0.4664.110 Safari/537.36

Browser/OS: Chrome 96 on Mac OS X 10.15.7

View result in a separate tab

Test name	Executions per second
Sum	332422.3 Ops/sec
Object-hash	5108.6 Ops/sec
JSON.stringify	1092401.9 Ops/sec

Related benchmarks:

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

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

Created: 2 years ago by: Guest

Jump to the latest result

Sum

Object-hash

JSON.stringify

Suite status: <idle, ready to run>

Experimental features:

Fastest: N/A

Slowest: N/A

Autogenerated LLM Summary (model llama3.2:3b, generated 27 days ago):