Journey to Optimize Cloudflare D1 Database Queries
Published on: 2025-05-08 22:00:21
Journey to Optimize Cloudflare D1 Database Queries
Background
Recently, I've been working on server-side projects using Cloudflare Workers with D1 database. During this process, I encountered several database-related challenges. Since databases are quite unfamiliar territory for frontend developers, I decided to document my experiences.
The image below shows the request records for the past 30 days, revealing dramatic fluctuations in database queries.
Problem Identification
Solving problems begins with identifying them. Here are several methods that helped me spot issues:
Monitoring the D1 dashboard to detect anomalies in database operations Examining query statements and row read/write counts, with special attention to queries with high counts or rows read/written Using c.env.DB.prepare('').run()).meta to check the returned metadata, which reveals how many rows were actually read/written for each query
Using Batch Requests
It's important to understand that while Workers a
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