# DuckDB Concurrency and Storage ## Single Writer Per Process DuckDB allows only one process to open the database file in read-write mode at a time. The FastAPI backend must be run with a single worker (`uvicorn --workers 1`). Running multiple workers against the same DuckDB file will cause startup errors. ## asyncio.Lock for Writes All database write operations (`INSERT`, `UPDATE`, `DELETE`) in the FastAPI async context are wrapped in a single `asyncio.Lock` (`get_write_lock()` from `backend/app/db.py`). This prevents concurrent coroutines from issuing overlapping writes within the single process, which would otherwise raise DuckDB optimistic concurrency errors. Read operations (`SELECT`) do not require the lock — DuckDB's MVCC provides consistent read snapshots. ## Schema ```sql CREATE TABLE users ( id UUID DEFAULT uuid() PRIMARY KEY, email VARCHAR NOT NULL UNIQUE, password_hash VARCHAR NOT NULL, role VARCHAR DEFAULT 'user', created_at TIMESTAMP DEFAULT now(), updated_at TIMESTAMP DEFAULT now() ); CREATE TABLE refresh_tokens ( jti UUID DEFAULT uuid() PRIMARY KEY, user_id UUID NOT NULL, -- soft FK to users.id issued_at TIMESTAMP DEFAULT now(), expires_at TIMESTAMP NOT NULL, revoked BOOLEAN DEFAULT false ); ``` > The `REFERENCES users(id)` foreign key is intentionally omitted from `refresh_tokens`. DuckDB fires FK checks on `UPDATE` of the parent table (including email changes), causing false constraint violations. Referential integrity is enforced manually: deleting a user also deletes their refresh tokens in the same write transaction. ## Access Tokens Access tokens are **stateless** JWTs — not stored in the database. They are validated by signature and expiry claim only. The short TTL (15 minutes) limits the blast radius if a token is leaked. ## Refresh Tokens Refresh tokens store a JTI (JWT ID) UUID in the `refresh_tokens` table. On each use the old JTI is revoked and a new one issued (rotation). On logout the JTI is immediately revoked. Expired and revoked tokens can be purged via `POST /admin/tokens/purge`. ## Future: AI Generation History AI generation metadata (model, prompt, cost, result URLs) can be stored as JSON columns in a future `generation_history` table in DuckDB, enabling per-user analytics and usage dashboards at zero extra infrastructure cost.