Benchmark: merge array with lodash vs manual search 2

HTML Preparation code:

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

Tests:

merge lodash
const arr1 = [{"member" : "57989cbe54cf5d2ce83ff9d8","bank" : "575b052ca6f66a5732749ecc","country" : "575b0523a6f66a5732749ecb"},{"member" : "57989cbe54cf5d2ce83ff9d6","bank" : "575b052ca6f66a5732749ecc","country" : "575b0523a6f66a5732749ecb"}]; const arr2 = [{"member" : "57989cbe54cf5d2ce83ff9d6","name" : 'xxxxxx',"age" : 25},{"member" : "57989cbe54cf5d2ce83ff9d8","name" : 'yyyyyyyyyy',"age" : 26}]; const merged = _(arr1) // start sequence .keyBy('member') // create a dictionary of the 1st array .merge(_.keyBy(arr2, 'member')) // create a dictionary of the 2nd array, and merge it to the 1st .values();
merge find
const arr1 = [{"member" : "57989cbe54cf5d2ce83ff9d8","bank" : "575b052ca6f66a5732749ecc","country" : "575b0523a6f66a5732749ecb"},{"member" : "57989cbe54cf5d2ce83ff9d6","bank" : "575b052ca6f66a5732749ecc","country" : "575b0523a6f66a5732749ecb"}]; const arr2 = [{"member" : "57989cbe54cf5d2ce83ff9d6","name" : 'xxxxxx',"age" : 25},{"member" : "57989cbe54cf5d2ce83ff9d8","name" : 'yyyyyyyyyy',"age" : 26}]; const merged = arr1.filter( element1 => ! arr2.find( element2 => element1["member"] === element2["member"]) ).concat(arr2);
merge some
const arr1 = [{"member" : "57989cbe54cf5d2ce83ff9d8","bank" : "575b052ca6f66a5732749ecc","country" : "575b0523a6f66a5732749ecb"},{"member" : "57989cbe54cf5d2ce83ff9d6","bank" : "575b052ca6f66a5732749ecc","country" : "575b0523a6f66a5732749ecb"}]; const arr2 = [{"member" : "57989cbe54cf5d2ce83ff9d6","name" : 'xxxxxx',"age" : 25},{"member" : "57989cbe54cf5d2ce83ff9d8","name" : 'yyyyyyyyyy',"age" : 26}]; const merged = arr1.filter( element1 => ! arr2.find( element2 => element1["member"] === element2["member"]) ).concat(arr2);

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
merge lodash
merge find
merge some

Fastest: N/A

Slowest: N/A

Latest run results:

Run details: (Test run date: 4 years ago)

User agent: Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/83.0.4103.97 Safari/537.36

Browser/OS: Chrome 83 on Linux

View result in a separate tab

Test name	Executions per second
merge lodash	874457.2 Ops/sec
merge find	5395767.5 Ops/sec
merge some	5041549.0 Ops/sec

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

LLMs can make mistakes. Check important info.

Let's break down the provided benchmark and explain what's being tested, compared, and their pros and cons.

**Benchmark Context**

The benchmark is measuring the performance of merging two arrays in JavaScript using different approaches: `lodash` and manual filtering using `Array.prototype.find()`.

**Test Cases**

There are three test cases:

1. **Merge Lodash**: This test case uses the `lodash` library to merge the two arrays.
2. **Merge Find**: This test case manually filters out elements from the first array that exist in the second array using `Array.prototype.find()`.
3. **Merge Some**: This test case is identical to the previous one, suggesting an error or typo in the benchmark definition.

**Comparison of Approaches**

1. **Lodash Merge**
	* Pros:
		+ Faster execution time ( lowest execution rate: 874457.1875 exec/sec)
		+ More readable and maintainable code
	* Cons:
		+ Requires additional library dependency (`lodash`)
2. **Manual Filtering with Find**
	* Pros:
		+ No additional library dependencies required
		+ Can be optimized for performance using techniques like caching or memoization
	* Cons:
		+ Less readable and maintainable code
		+ May have higher execution time due to the filtering operation

**Library: Lodash**

Lodash is a popular JavaScript utility library that provides various functions for tasks such as array manipulation, string processing, and more. In this case, it's used to merge two arrays using its `keyBy` function.

The `keyBy` function takes an array as input and returns an object where each key is the value of a property in the first array elements, and the corresponding values are collected from the second array elements that have matching keys. The `merge` function then combines these objects into one, effectively merging the two arrays based on the common keys.

**Special JavaScript Feature/Syntax: None**

There are no special JavaScript features or syntax used in this benchmark.

**Alternatives**

Other approaches for merging arrays in JavaScript include:

1. Using `Array.prototype.reduce()`
2. Using a custom implementation with loops and conditionals
3. Using a library like `Underscore.js` (alternative to Lodash)

However, these alternatives are not being tested in the provided benchmark.

Overall, the benchmark highlights the importance of choosing an efficient and readable approach for merging arrays in JavaScript, depending on the specific requirements and constraints of the project.

Related benchmarks:

merge array with lodash vs manual search 2 (version: 0)

Comparing performance of: merge lodash vs merge find vs merge some

Created: 4 years ago by: Guest

Jump to the latest result

merge lodash

merge find

merge some

Suite status: <idle, ready to run>

Experimental features:

Fastest: N/A

Slowest: N/A

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