Benchmark: overwrite new Map() vs findIndex

HTML Preparation code:

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

Tests:

new Map()
let myMap = new Map(); for (let index = 0; index < 100; index++) { const element = { _id : index, name : _.times(20, () => _.random(35).toString(36)).join('') } myMap.set(index, element); } if(myMap.has(65)) { let foundMap = myMap.get(65); foundMap.name = 'HelloMyNewName'; }
findIndex
let array = []; for (let index = 0; index < 100; index++) { const element = { _id : index, name : _.times(20, () => _.random(35).toString(36)).join('') } array.push(element); } let foundIndex = array.findIndex((array1) => array1._id); if(foundIndex !== -1) { array[foundIndex].name = 'HelloMyNewName'; }

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
new Map()
findIndex

Fastest: N/A

Slowest: N/A

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/135.0.0.0 Safari/537.36

Browser/OS: Chrome 135 on Windows

View result in a separate tab

Test name	Executions per second
new Map()	20129.7 Ops/sec
findIndex	19276.7 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 provided JSON data and explain what's being tested in each test case.

**Benchmark Definition**

The `Name` field indicates that this benchmark is comparing two approaches: creating a new Map (`new Map()`) versus using the `findIndex` method to search for an element in an array.

**Options Compared**

* **Create a new Map**: This approach creates a new, empty Map object and sets its elements using the `set` method.
* **Use findIndex to search for an element in an array**: This approach creates an empty array, pushes 100 elements into it, and then uses the `findIndex` method to find the index of a specific element. If found, it updates the value at that index.

**Pros and Cons**

Creating a new Map:

Pros:

* Maps are designed for storing key-value pairs and provide efficient lookups, insertions, and deletions.
* Maps can grow dynamically as elements are added.

Cons:

* Creating a new Map object involves overhead in terms of memory allocation and garbage collection.
* If the map is not properly managed (e.g., not cleared or resized), it can lead to performance issues.

Using findIndex to search for an element in an array:

Pros:

* Arrays are optimized for random access and have fast lookup times.
* The `findIndex` method only scans through the array until it finds the specified element, making it efficient for large datasets.

Cons:

* Arrays require indexing into memory, which can be slower than Maps' lookup mechanism.
* If the array is not properly managed (e.g., not sorted or indexed), it can lead to slower performance.

**Library and Purpose**

The `lodash` library is used in both test cases. Specifically, it provides the `times` function, which generates an array of a specified length by executing a callback function repeatedly. In this case, the `times` function is used to generate random strings for each element in the array or map.

**Special JS Feature or Syntax**

There are no special JavaScript features or syntaxes mentioned in the provided data. However, it's worth noting that the use of `_.random(35).toString(36)` suggests that the benchmark might be running on a browser with a JavaScript engine that supports the `toString` method with radix 36 (hexadecimal).

**Alternatives**

Other alternatives to create maps or search for elements in arrays could include:

* Using an object instead of a map
* Using a data structure like a hash table or trie
* Implementing your own binary search algorithm
* Utilizing third-party libraries like `fast-async` or `jsperf`

Keep in mind that the choice of data structure and algorithm depends on the specific requirements and constraints of the project.

Related benchmarks:

overwrite new Map() vs findIndex (version: 0)

Comparing performance of: new Map() vs findIndex

Created: 2 years ago by: Guest

Jump to the latest result

new Map()

findIndex

Suite status: <idle, ready to run>

Fastest: N/A

Slowest: N/A

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