Ravi Vishwakarma is a dedicated Software Developer with a passion for crafting efficient and innovative solutions. With a keen eye for detail and years of experience, he excels in developing robust software systems that meet client needs. His expertise spans across multiple programming languages and technologies, making him a valuable asset in any software development project.
ICSM Computer
08-Jul-2025To limit memory use when paginating a large result set in IndexedDB (especially with 10,000+ records), avoid loading all data into memory (
.toArray()) and instead use streamed access via cursors or Dexie.js pagination.Here’s how you do it efficiently:
Strategy: Page data without loading everything
Avoid This:
Solution 1: Pagination with Dexie.js (Efficient)
If you're using Dexie.js, use
offset().limit():Solution 2: Using a Cursor in Vanilla IndexedDB
Cursors allow you to stream records without full memory load:
.toArray()Tips for Optimal Pagination
.offset().limit()on indexed fieldorderBy()only on indexed columns.count()to get total items without loading them.filter()or.map()after.toArray()Optional: Count Total Items
For pagination UI:
Summary
Would you like this turned into a reusable Dexie pagination function with total count?