russellromney/honker

2026-04-24 · Source: Simon Willison's Weblog · Field: Technology & Digital — Software Development & Engineering, Data Science & Analytics, Artificial Intelligence & Machine Learning · Depth: Intermediate, quick

Summary

Honker is a new Rust-based SQLite extension that brings PostgreSQL's NOTIFY/LISTEN semantics, along with durable queues and Kafka-style streams, to SQLite databases. It provides language bindings for Python and other languages, enabling developers to implement transactional outbox patterns for reliable job queuing and event streaming. The extension adds over 20 custom SQL functions, including `notify()` and `honker_stream_read_since()`. Honker requires SQLite's WAL mode and allows worker processes to poll the `.db-wal` file every 1ms for near real-time updates, minimizing the overhead of full SQL queries.

Key takeaway

For MLOps Engineers or AI Architects building lightweight, embedded, or edge applications with SQLite, Honker offers a robust solution for implementing reliable asynchronous workflows. You can leverage its transactional outbox pattern to ensure data integrity for job queues and event streams, avoiding data loss or inconsistencies that often plague distributed systems. Consider integrating Honker to simplify your architecture and enhance the reliability of background tasks and event-driven components.

Key insights

Honker extends SQLite with PostgreSQL-like notification, queuing, and streaming capabilities via a Rust extension.

Principles

• Transactional outbox pattern ensures data consistency.
• WAL mode enables efficient real-time change detection.

Method

Honker uses a Rust SQLite extension to add custom SQL functions and leverages WAL file polling for low-latency event detection, ensuring transactional integrity for queues and streams.

In practice

• Implement reliable job queues with `db.queue()`.
• Create durable event streams using `db.stream()`.
• Use `job.ack()` for explicit job completion.

Topics

• SQLite Extension
• Postgres NOTIFY/LISTEN
• Transactional Outbox Pattern
• Durable Queues
• Kafka-style Streams

Code references

• russellromney/honker

Best for: AI Architect, MLOps Engineer, Software Engineer, AI Engineer, Data Engineer

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Editorial summary, takeaway, and curation by AIssential. Original article published by Simon Willison's Weblog.