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Pagination Vs Pagination V2
(version: 1)
Comparing performance of:
V1 vs V2
Created:
3 years ago
by:
Registered User
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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);
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V1
V2
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Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
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).
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