Benchmark: isShallowEqual vs JSON.stringify

Tests:

isShallowEqual
const a = ['a', 'b', 'c', 'd', 'e']; const b = ['a', 'b', 'c', 'd', 'e']; function isShallowEqual(a, b){ for(let i=0; i<a.length; i++){ if(a[i]!==b[i]){ return false; } } return true; }
JSON.stringify
const a = ['a', 'b', 'c', 'd', 'e']; const b = ['a', 'b', 'c', 'd', 'e']; JSON.stringify(a) === JSON.stringify(b);

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
isShallowEqual
JSON.stringify

Fastest: N/A

Slowest: N/A

Latest run results:

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

LLMs can make mistakes. Check important info.

Let's dive into the world of JavaScript microbenchmarks on MeasureThat.net.

The provided benchmark is designed to compare two approaches for checking if two arrays are shallowly equal: the `isShallowEqual` function and using the `JSON.stringify` method.

**Options Compared**

1. **`isShallowEqual` function**: This is a custom-written JavaScript function that iterates over each element of both arrays, comparing them directly. If any mismatch is found, it immediately returns `false`. Otherwise, it returns `true`.
2. **Using `JSON.stringify` method**: This approach converts both arrays to strings using `JSON.stringify` and then compares the resulting strings for equality.

**Pros and Cons**

1. **`isShallowEqual` function**:
	* Pros: Provides a direct, element-by-element comparison, which can be more intuitive for developers familiar with array manipulation.
	* Cons: Can be slow for large arrays due to the overhead of explicit iteration and string conversions.
2. **Using `JSON.stringify` method**:
	* Pros: Fast and efficient for large arrays, as it leverages optimized stringification algorithms.
	* Cons: May not provide the same level of insight into the array contents or structure as the custom `isShallowEqual` function.

**Library Usage**

In this benchmark, neither library is explicitly mentioned. However, it's worth noting that the `JSON.stringify` method relies on a few underlying libraries and APIs to implement its stringification algorithm.

**Special JS Features/Syntax (None)**

There are no special JavaScript features or syntax used in these benchmarks.

**Benchmark Preparation Code**

The preparation code is empty, which means that the benchmark script starts execution from the provided `Script Preparation Code`.

**Individual Test Cases**

The two test cases compare the performance of each approach:

1. **`isShallowEqual`**: This test case measures the execution time of the custom `isShallowEqual` function for the given array comparison.
2. **`JSON.stringify`**: This test case measures the execution time of using the `JSON.stringify` method to compare the two arrays.

**Latest Benchmark Result**

The result shows that:

* For the `isShallowEqual` function, Chrome 107 on a desktop platform executed approximately 1.19 billion times per second.
* For using `JSON.stringify`, Chrome 107 on a desktop platform executed approximately 1.83 million times per second.

These results demonstrate the performance difference between these two approaches for array equality checks in JavaScript.

**Other Alternatives**

If you're looking for alternative methods to check if two arrays are shallowly equal, consider:

* Using `Array.prototype.every()` and `Array.prototype.some()`: These methods can be used to create a more concise and expressive implementation.
* Employing a library like Lodash's `isEqual` function: This provides a more comprehensive equality check that can handle deeper array structures.

Keep in mind that the performance differences between these approaches may vary depending on the specific use case, array size, and JavaScript engine being used.

Related benchmarks:

isShallowEqual vs JSON.stringify (version: 0)

Comparing performance of: isShallowEqual vs JSON.stringify

Created: 3 years ago by: Guest

Jump to the latest result

isShallowEqual

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):