Benchmark: Pagination Vs Pagination V2

Tests:

V1
const pageCount = 4000; const currentPage = 1; const sibllingCount = 1 const clamp = (value, min, max) => { return Math.min(Math.max(value, min), max); }; const pages = Array.from({ length: pageCount }, (v, k) => k + 1); const min = clamp(currentPage - sibllingCount, 1, pageCount); const max = clamp(currentPage + sibllingCount, 1, pageCount); const pagesToKeep = Array.from(new Set([pages[0], ...pages.slice(min - 1, max), pageCount])); const p = pagesToKeep.reduce((acc,current)=>{ const last = acc[acc.length -1 ] if(current - last > 1){ return [...acc, "...", current] }else{ return [...acc, current] } },[])
V2
const totalCount = 4000; const pageSize = 20; const siblingCount = 1; const currentPage =1; const totalPageCount = Math.ceil(totalCount / pageSize); const DOTS = "..." const range = (start, end) => { let length = end - start + 1; return Array.from({length}, (_, idx) => idx + start); }; const totalPageNumbers = siblingCount * 2 + 3; if (totalPageNumbers >= totalPageCount) { return range(1, totalPageCount); } const leftSiblingIndex = Math.max(currentPage - siblingCount, 1); const rightSiblingIndex = Math.min( currentPage + siblingCount, totalPageCount, ); const shouldShowLeftDots = leftSiblingIndex > 2; const shouldShowRightDots = rightSiblingIndex < totalPageCount - 2; const pages = [ 1, ...range( Math.max(leftSiblingIndex, rightSiblingIndex - siblingCount * 2), Math.min(rightSiblingIndex, leftSiblingIndex + siblingCount * 2), ), totalPageCount, ]; let pagination = Array.from(new Set(pages)); if (shouldShowLeftDots) pagination.splice(1, 0, DOTS); if (shouldShowRightDots) pagination.splice(pagination.length - 1, 0, DOTS);

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
V1
V2

Fastest: N/A

Slowest: N/A

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

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I'll break down the provided benchmark for you.

**Benchmark Overview**

The benchmark compares two approaches to implementing pagination functionality in JavaScript. The goal is to determine which approach is faster and more efficient.

**Options Compared**

There are two options being compared:

1. **V1**: This approach uses a fixed number of pages and calculates the current page range based on the `currentPage` variable. It creates an array of pages, removes unnecessary pages from the start and end, and joins them with "..." to create the pagination string.
2. **V2**: This approach also uses a fixed number of pages but calculates the current page range differently. It first calculates the total page count using the `totalCount` variable and then determines the left and right sibling indices based on the `currentPage` variable.

**Pros and Cons**

**V1:**

Pros:

* Simple to implement
* Easy to understand

Cons:

* May not handle large datasets efficiently, as it removes unnecessary pages from the start and end.
* The "..." separator may lead to performance issues if used frequently.

**V2:**

Pros:

* More efficient than V1 for large datasets, as it only calculates the necessary page range.
* Handles left and right sibling indices more accurately.

Cons:

* May be more complex to implement due to the additional calculations required.

**Library Used**

There is no library explicitly mentioned in the benchmark definition. However, the `range` function used in V2 is a custom implementation that creates an array of numbers within a given range. This function can be replaced with a built-in array method if preferred.

**Special JS Features/Syntax**

The benchmark uses some special JavaScript features and syntax, including:

* Template literals (`"..."`)
* Array destructuring and spread operators (`...`)

These features are widely supported in modern browsers, but older browsers may not support them.

**Alternatives**

Other approaches to implementing pagination functionality might include:

1. Using a library like pagination.js or react-paginate.
2. Implementing pagination using a more complex algorithm that takes into account factors like page size and sibling count.
3. Using a different data structure, such as a linked list, to represent the paginated data.

These alternatives may offer performance benefits or improved user experience over the compared approaches (V1 and V2).

Related benchmarks:

Pagination Vs Pagination V2 (version: 1)

Comparing performance of: V1 vs V2

Created: 3 years ago by: Registered User

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V1

V2

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):