Introducing the SpiceDB Query Planner
Blog post from AuthZed
SpiceDB, an implementation of relationship-based access control (ReBAC), has evolved to enhance authorization performance, addressing user demands for lower latency. The improvements include de-duplicating requests, decomposing problems into sub-problems, caching, consistent hashing, batching database queries, and SQL optimizations. However, these strategies often overlooked the "shape" of customer data, which is crucial for efficient query execution. SpiceDB introduced a new experimental query planner to optimize the CheckPermission API by analyzing the structure of queries and graphs in real-time, making intelligent decisions about traversal paths based on data statistics. The planner reorders evaluation steps to minimize workload, thereby improving efficiency in scenarios like intersections and unions by choosing cost-effective paths. Although promising, SpiceDB acknowledges that query planners can display erratic behaviors in certain cases, much like the Postgres query planner, and plans extensive testing before broadly deploying these optimizations. Feedback from users is encouraged to refine and address any edge cases, and opportunities for employment are available for those interested in contributing to this innovative work.
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