Activerecord_cursor_paginate

Overview

ActiveRecordCursorPaginate is an impressive library designed to enhance the way we handle pagination within ActiveRecord relations. With a primary focus on cursor pagination, it addresses many of the challenges associated with traditional limit/offset pagination, particularly in dynamic environments where data can change rapidly. As records are added or deleted, cursor pagination ensures that the user experience remains seamless by allowing you to fetch results based on the last record retrieved, thereby avoiding inconsistencies that can occur with standard pagination methods.

This library is particularly beneficial for developers who need robust and flexible pagination solutions in their Ruby on Rails applications. With support for various ordering options, it makes navigating through large datasets simpler and more intuitive.

Features

• Cursor Pagination: Avoids skipping or duplicating records by fetching results based on the last cursor from the previous page, providing a smooth user experience even as data updates.
• Custom Ordering: Allows you to specify a custom column and sorting direction for your results, moving beyond the default ascending ID order.
• Dynamic Limit: By default, the paginator returns 10 results, but you can easily adjust this number by using a limit parameter to suit your application’s needs.
• Previous Page Support: Effortlessly navigate back to previous pages by passing the first cursor of the current page, ensuring full control over traversal.
• Database Indexing: Encourages best practices by suggesting the addition of compound indexes for improved query performance based on the ordering column.
• Flexible Integration: Easily integrates into your existing Ruby on Rails applications using just a few lines of code in your Gemfile.
• Support for JOINed Tables: Provides the capability to order results by fields from related tables, enhancing the versatility of the pagination system.
• Handles Complex Logic: Supports more complex ordering logic, allowing for sophisticated data retrieval strategies aligned with varied application requirements.