Broker-Side SQL Filtering with RabbitMQ Streams
4 days ago
- #Stream Processing
- #RabbitMQ
- #Message Filtering
- RabbitMQ 4.2 introduces SQL filter expressions for streams, enabling broker-side message filtering.
- Combining SQL filters with Bloom filters achieves filtering rates of over 4 million messages per second.
- Broker-side filtering reduces network traffic and client-side processing overhead.
- RabbitMQ Streams address the challenge of high-throughput event streams with irrelevant data.
- Bloom filters skip non-relevant chunks, while SQL filters evaluate per-message predicates.
- RabbitMQ's filtering capabilities surpass Kafka, which lacks broker-side filtering.
- A sample e-commerce application demonstrates filtering 10 million events to find 10 high-value orders.
- SQL filter expressions allow precise filtering based on event type, time, region, and other criteria.
- Performance results show SQL filtering alone processes 404,645 messages/second, while Bloom + SQL reaches 4,868,549 messages/second.
- Bloom filters improve performance by skipping irrelevant chunks before disk I/O.