🤖 AI Summary
This work addresses the challenges of scalability, latency, and availability in multi-region, high-concurrency OLTP systems deployed in cloud environments by proposing a serverless SQL database architecture that decouples computation, storage, and transaction coordination. The system supports active-active multi-region deployments and innovatively defers coordination latency to the commit phase. By integrating stateless query processors based on Firecracker MicroVMs, a distributed arbitrator, multiversion concurrency control, and precise timestamping, it achieves strong consistency and full ACID semantics while significantly reducing cross-region latency. Experimental results demonstrate that the system can elastically scale from zero to millions of transactions per second and maintains continuous availability even in the face of region- or availability-zone-level failures.
📝 Abstract
Aurora DSQL is a serverless SQL database designed for cloud-scale transaction processing with multi-region active-active capabilities. Built on a disaggregated architecture, DSQL separates compute, storage, and transaction coordination into independent, horizontally scalable services. Query processors run in Firecracker MicroVMs executing PostgreSQL-compatible SQL without local state. The system uses multiversion concurrency control with precision timestamps for coordination-free reads and optimistic concurrency control for writes, deferring coordination to commit time through distributed adjudicators and the Journal replication system. This minimizes cross-region latency by requiring coordination only during commits, not individual statements. DSQL enables elastic scaling from zero to millions of transactions per second while providing strong consistency, ACID transactions, and continuous availability during availability zone or region failures.