Cursor storage

SQLite Database Locking and Concurrency Errors After Cursor Build

Your Cursor-generated application uses SQLite as its database and works fine during development with a single user, but fails with SQLITE_BUSY or "database is locked" errors as soon as multiple users access it simultaneously. Write operations timeout, reads sometimes return stale data, and the app becomes unreliable under any real load.

Cursor frequently chooses SQLite because it's the simplest database to set up — no server to configure, just a file. But SQLite's concurrency model is fundamentally different from PostgreSQL or MySQL. It uses file-level locking, meaning only one write can happen at a time, and readers can block writers depending on the journal mode.

This issue typically surfaces immediately after deploying to production or during load testing when more than a handful of concurrent users interact with the application.

Error Messages You Might See

SQLITE_BUSY: database is locked SQLITE_LOCKED: database table is locked Error: SQLITE_BUSY (database is locked) OperationalError: database is locked SqliteError: database is locked - WAL mode
SQLITE_BUSY: database is lockedSQLITE_LOCKED: database table is lockedError: SQLITE_BUSY (database is locked)OperationalError: database is lockedSqliteError: database is locked - WAL mode

Common Causes

  • Default journal mode (DELETE) — SQLite's default journal mode allows only one writer at a time and blocks all readers during writes
  • Multiple connections without WAL mode — Each request opens a new connection but WAL (Write-Ahead Logging) mode isn't enabled, causing lock contention
  • Long-running transactions — Cursor generated code that holds database locks during slow operations (API calls, file processing) within a transaction
  • Concurrent writes from multiple processes — Serverless or multi-process deployments create multiple processes all trying to write to the same SQLite file
  • No busy timeout configured — The default busy timeout is 0ms, meaning any lock contention immediately throws an error instead of retrying

How to Fix It

  1. Enable WAL mode — Run PRAGMA journal_mode=WAL; on your database connection. WAL allows concurrent readers and a single writer, dramatically improving performance
  2. Set a busy timeout — Configure PRAGMA busy_timeout=5000; to wait up to 5 seconds for locks instead of immediately failing
  3. Use a single connection with serialization — For web apps, use a connection pool of size 1 with a write queue, or use better-sqlite3 (synchronous) instead of sqlite3 (async) in Node.js
  4. Keep transactions short — Never do network calls, file I/O, or heavy computation inside a database transaction. Read data, release the lock, process, then write back
  5. Consider migrating to PostgreSQL — If your app needs real concurrent access, SQLite may not be the right choice. Use PostgreSQL or MySQL with a connection pool
  6. Move SQLite to a persistent volume — If staying with SQLite, ensure the database file is on a persistent volume, not ephemeral serverless storage

Real developers can help you.

Antriksh Narang Antriksh Narang 5 years+ Experienced Dev (Specially in Web Development), can help in python, javascript, react, next.js and full stack web dev technologies. rayush33 rayush33 JavaScript (React.js, React Native, Node.js) Developer with demonstrated industry experience of 4+ years, actively looking for opportunities to hone my skills as well as help small-scale business owners with solutions to technical problems Meïr Ankri Meïr Ankri Full-stack developer specializing in React / Next.js / Node.js with 6+ years of experience. I've worked across various sectors including automotive (Reezocar/Société Générale), healthcare (Medical Link SaaS), and e-commerce (Glasman). I build web apps end-to-end, from architecture to production, with a focus on scalability, performance, and code quality. I also mentor junior developers and contribute to technical decisions and code reviews. Franck Plazanet Franck Plazanet I am a Strategic Engineering Leader with over 8 years of experience building high-availability enterprise systems and scaling high-performing technical teams. My focus is on bridging the gap between complex technology and business growth. Core Expertise: 🚀 Leadership: Managing and coaching teams of 15+ engineers, fostering a culture of accountability and continuous improvement. 🏗️ Architecture: Enterprise Core Systems, Multi-system Integration (ERP/API/ETL), and Core Database Structure. ☁️ Cloud & Scale: AWS Expert; architected systems handling 10B+ monthly requests and managing 100k+ SKUs. 📈 Business Impact: Aligning tech strategy with P&L goals to drive $70k+ in monthly recurring revenue. I thrive on "out-of-the-box" thinking to solve complex technical bottlenecks and am always looking for ways to use automation to improve business productivity. Anthony Akpan Anthony Akpan Developer with 8 years of experience building softwares fro startups Victor Denisov Victor Denisov Developer Jacek Rozanski Jacek Rozanski Senior PHP/Symfony developer and DevOps engineer with 20+ years of professional experience, running opcode.pl (web development agency, est. 2004). Day job: I'm the sole backend developer at merketing company where I own and maintain 11 PHP/Symfony microservices on AWS (ECS Fargate, RDS, S3, CloudFront), handle the full CI/CD pipeline (Bitbucket Pipelines, Docker), and manage monitoring with Sentry and CloudWatch. These services handle high request volumes in production every month. What I bring to AI-built apps: - I audit and fix security issues (OWASP methodology), performance bottlenecks, and architectural problems in codebases generated by Cursor, Claude Code, Lovable, Bolt, and v0 - I refactor AI-generated prototypes into production-grade applications with proper error handling, testing, and clean architecture (SOLID, DDD, hexagonal architecture) - I set up the infrastructure AI tools don't touch: AWS hosting, CI/CD pipelines, automated deployments, database optimization, monitoring, and alerting - I integrate external services: payment providers, email systems, partner APIs, SSO/auth Tech stack: PHP 8.x, Symfony, React, Next.js, PostgreSQL, MySQL, Docker, AWS (ECS, RDS, S3, SQS/SNS, CloudFront), Terraform, Supabase. I also use AI tools daily (Claude Code, Cursor) in my own workflow, so I understand both the strengths and the gaps in AI-generated code. Based in Poland (CET timezone). Available for async work and calls during EU/US business hours. Luca Liberati Luca Liberati I work on monoliths and microservices, backends and frontends, manage K8s clusters and love to design apps architecture Matt Butler Matt Butler Software Engineer @ AWS Richard McSorley Richard McSorley Full-Stack Software Engineer with 8+ years building high-performance applications for enterprise clients. Shipped production systems at Walmart (4,000+ stores), Cigna (20M+ users), and Arkansas Blue Cross. 5 patents in retail/supply chain tech. Currently focused on AI integrations, automation tools, and TypeScript-first architectures.

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Frequently Asked Questions

Can SQLite handle a production web application?

SQLite can handle low-to-medium traffic apps (up to a few hundred concurrent users) if configured correctly with WAL mode, busy timeouts, and proper connection management. For high-traffic apps or serverless deployments, PostgreSQL is a better choice.

What is WAL mode and why does it help?

Write-Ahead Logging (WAL) mode changes how SQLite handles concurrent access. Instead of locking the entire database for writes, it writes changes to a separate WAL file. This allows readers to continue reading the old data while a write is in progress, dramatically reducing lock contention.

Related Cursor Issues

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