Benchmark: Lodash "uniqWith", " "uniqBy", Node "Map" 2

HTML Preparation code:

<script src='https://cdn.jsdelivr.net/npm/lodash@4.17.10/lodash.min.js'></script>

Script Preparation code:

var users = [
  { 'name': 'barney',  'age': 36 },
  { 'name': 'pebbles', 'age': 5 }
];

var newUsers = [
  { 'name': 'fred',    'age': 40 },
  { 'name': 'barney',  'age': 36 },
  { 'name': 'pebbles', 'age': 2 }
];

for(let i = 0; i < 2000; i++) {
  var newUser = { 'name': 'user_' + i, 'age': Math.floor(Math.random() * i) };
  newUsers.push(newUser);
}

Tests:

uniqWith
const unionUsers1 = _.uniqWith(newUsers.concat(users), _.isEqual);
uniqBy
const unionUsers1 = _.uniqBy(newUsers.concat(users), (val) => JSON.stringify(val));
Node Map
const unionUsers1 = Array.from(new Map(newUsers.concat(users).map((user) => ([JSON.stringify(user), user]))).values())

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
uniqWith
uniqBy
Node Map

Fastest: N/A

Slowest: N/A

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.

**Benchmark Overview**

The benchmark measures the performance of three different approaches for removing duplicates from an array of objects:

1. `_.uniqWith` (Lodash utility function)
2. `_.uniqBy` (Lodash utility function)
3. Node's built-in `Map` data structure

**Options Compared**

Each approach is compared to its counterpart, making it a round-robin test.

* `_.uniqWith` vs `_.uniqBy`
* `_.uniqBy` vs Node's `Map`

**Pros and Cons of Each Approach**

### _.uniqWith (Lodash)

Pros:

* Simple to use: takes an array and two functions as arguments. The first function checks for equality, while the second is a callback.
* Fast: often faster than other approaches due to its optimized implementation.

Cons:

* Requires Lodash library
* May not work well with complex data structures

### _.uniqBy (Lodash)

Pros:

* More flexible: allows using a custom comparison function (in this case, `JSON.stringify(val)`).
* Works with more data types (arrays, objects).

Cons:

* Slower than `_.uniqWith` due to the additional function overhead.
* May not be as efficient for very large datasets.

### Node's Map

Pros:

* Built-in, no extra library required
* Optimized for performance: uses a hash table under the hood
* Can handle large datasets efficiently

Cons:

* Requires creating a `Map` object and iterating over it to extract values.
* May be less readable than other approaches.

**Library Used**

The benchmark uses Lodash (version 4.17.10) as a library, which provides two utility functions: `_.uniqWith` and `_.uniqBy`.

**Special JS Feature or Syntax**

None mentioned in the provided code snippets. However, it's worth noting that `JSON.stringify(val)` is used in both benchmark definitions to provide a custom comparison function for `_.uniqBy`. This ensures that objects are compared based on their contents (i.e., not by reference).

**Other Alternatives**

Some alternative approaches to removing duplicates from an array of objects include:

* Using the `Set` data structure: similar to Node's `Map`, but with a different implementation.
* Implementing a custom solution using recursion or iteration.
* Using a library like `lodash-es` (a subset of Lodash without the `_.isEqual` function).

Keep in mind that each approach has its own trade-offs and may be more or less suitable depending on your specific use case.

Latest run results:

Run details: (Test run date: one year ago)

User agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/116.0.0.0 Safari/537.36

Browser/OS: Chrome 116 on Windows

View result in a separate tab

Test name	Executions per second
uniqWith	1.6 Ops/sec
uniqBy	1141.3 Ops/sec
Node Map	1717.0 Ops/sec

Related benchmarks:

Lodash "uniqWith", " "uniqBy", Node "Map" 2 (version: 0)

Comparing performance of: uniqWith vs uniqBy vs Node Map

Created: one year ago by: Guest

Jump to the latest result

uniqWith

uniqBy

Node Map

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):