Architectural Patterns for SQLite Extensions in PostgreSQL Replication: Publisher/Subscriber Models, Type Mapping, and Conflicts

An SQLite extension that uses PostgreSQL's logical replication to sync data is turning heads. The real-world touchpoint is the LiteSQL PostgreSQL repo, which shows how a cross-database toolchain can be wired together. It’s a hint that embedded databases aren’t isolated silos anymore—they’re part of server-side replication workflows ^[1].

Publisher/Subscriber patterns A publisher/subscriber pattern could structure how changes move between SQLite and PostgreSQL. In this setup, one side broadcasts updates and the other consumes them, helping keep data aligned with lower latency. The LiteSQL repo serves as a real-world reference for tooling integration across the two sides ^[1].

Type mapping Type mapping between SQLite and PostgreSQL is a key design knob, because every type has quirks across engines. Deciding how integers, text, dates, and blobs translate affects correctness and performance. The LiteSQL repo provides an integration example you can study to see how tooling hooks into both sides ^[1].

Conflicts Conflicts and reconciliation are a consideration in any replication layer. An architecture needs a plan for detection, resolution, or tolerance as data flows between SQLite and PostgreSQL ^[1].

Real-world reference The LiteSQL PostgreSQL repo example demonstrates how to connect the extension with tools and integration points, offering a blueprint for future work ^[1].

Takeaway: Look to LiteSQL for concrete tooling paths as you sketch your own cross-database extension ^[1].

References