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.

Jen Jacobsen Jen Jacobsen I’m a Full-Stack Developer with over 10 years of experience building modern web and mobile applications. I enjoy working across the full product lifecycle — turning ideas into real, well-built products that are intuitive for users and scalable for businesses. I particularly enjoy building mobile apps, modern web platforms, and solving complex technical problems in a way that keeps systems clean, reliable, and easy to maintain. Sage Fulcher Sage Fulcher Hey I'm Sage! Im a Boston area software engineer who grew up in South Florida. Ive worked at a ton of cool places like a telehealth kidney care startup that took part in a billion dollar merger (Cricket health/Interwell health), a boutique design agency where I got to work on a ton of exciting startups including a photography education app, a collegiate Esports league and more (Philosophie), a data analytics as a service startup in Cambridge (MA) as well as at Phillips and MIT Lincoln Lab where I designed and developed novel network security visualizations and analytics. I've been writing code and furiously devoted to using computers to make people’s lives easier for about 17 years. My degree is in making computers make pretty lights and sounds. Outside of work I love hip hop, the Celtics, professional wrestling, magic the gathering, photography, drumming, and guitars (both making and playing them) 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 Matthew Butler Matthew Butler Systems Development Engineer @ Amazon Web Services 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. prajwalfullstack prajwalfullstack Hi Im a full stack developer, a vibe coded MVP to Market ready product, I'm here to help Omar Faruk Omar Faruk As a Product Engineer at Klasio, I contributed to end-to-end product development, focusing on scalability, performance, and user experience. My work spanned building and refining core features, developing dynamic website templates, integrating secure and reliable payment gateways, and optimizing the overall system architecture. I played a key role in creating a scalable and maintainable platform to support educators and learners globally. I'm enthusiastic about embracing new challenges and making meaningful contributions. Rudra Bhikadiya Rudra Bhikadiya I build and fix web apps across Next.js, Node.js, and DBs. Comfortable jumping into messy code, broken APIs, and mysterious bugs. If your project works in theory but not in reality, I help close that gap. Nam Tran Nam Tran 10 years as fullstack developer PawelPloszaj PawelPloszaj I'm fronted developer with 10+ years of experience with big projects. I have small backend background too

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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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