Benchmark: object deep comparison

HTML Preparation code:

<script src='https://cdnjs.cloudflare.com/ajax/libs/lodash.js/4.17.5/lodash.min.js'></script>

Script Preparation code:

var obj = {}//{firstItem = "ninja turtles", secondItem = 505};
var obj2 = {}//{secondItem = 505, firstItem = "ninja turtles"};

Tests:

isEmpty xorWith
var flag = _.isEmpty(_.xorWith(obj, obj2, _.isEqual));
isEqual
var flag = _.isEqual(obj, obj2);

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
isEmpty xorWith
isEqual

Fastest: N/A

Slowest: N/A

Latest run results:

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

User agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/121.0.0.0 Safari/537.36

Browser/OS: Chrome 121 on Windows

View result in a separate tab

Test name	Executions per second
isEmpty xorWith	2192351.8 Ops/sec
isEqual	1744499.0 Ops/sec

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

LLMs can make mistakes. Check important info.

Let's break down the benchmark and its components.

**Benchmark Definition**

The benchmark measures the performance of two different approaches to comparing objects in JavaScript: `_.xorWith` with _.isEqual, and simply using _.isEqual on the same objects (`obj` and `obj2`). The `_` is a common convention in JavaScript testing frameworks, such as Lodash, indicating that it's a utility library.

**Options Compared**

Two options are compared:

1. **_.xorWith(_.isEqual)**: This approach uses the `_.xorWith` function to compare two objects (`obj` and `obj2`). _.xorWith takes three arguments: the first object, the second object, and a compare function (in this case, _.isEqual). It returns an array of elements that are in the first object but not in the second. The comparison is then done using the `.isEmpty` method, which checks if the resulting array is empty.
2. **_.isEqual(obj, obj2)**: This approach simply uses the `_.isEqual` function to compare two objects (`obj` and `obj2`) directly.

**Pros and Cons**

Both approaches have their trade-offs:

1. **_.xorWith(_.isEqual)**:
	* Pros:
		+ Can be faster for larger objects, as it avoids comparing duplicate keys.
		+ Can provide more information about which properties differ between the two objects.
	* Cons:
		+ Requires two iterations over the objects: one to create the array of differing elements and another to check if it's empty.
		+ May not be suitable for small or shallow objects, as it introduces unnecessary overhead.
2. **_.isEqual(obj, obj2)**:
	* Pros:
		+ Faster and more straightforward, with only a single iteration over the objects.
		+ Suitable for small or shallow objects, where the overhead of creating an array is not justified.
	* Cons:
		+ May be slower for larger objects due to repeated key comparisons.

**Other Considerations**

The benchmark also includes the use of Lodash's `_.isEmpty` function, which checks if an array (or a value) has a length of 0. This is used in both test cases.

**Special JavaScript Features/Syntax**

None mentioned in this explanation.

**Alternative Approaches**

For object comparison, other approaches might include:

1. **Using the `===` operator**: Comparing two objects using the `===` operator will return true if and only if both objects have exactly the same properties with the same values.
2. **Implementing a custom comparison function**: Writing a custom comparison function to compare objects based on specific criteria, such as property names or values.

Keep in mind that these alternative approaches might not be suitable for all use cases and may not offer performance benefits over the approaches tested in the benchmark.

If you have any further questions or need more information on this topic, feel free to ask!

Related benchmarks:

object deep comparison (version: 0)

Comparing performance of: isEmpty xorWith vs isEqual

Created: 4 years ago by: Guest

Jump to the latest result

isEmpty xorWith

isEqual

Suite status: <idle, ready to run>

Fastest: N/A

Slowest: N/A

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