Explores DuckDB and DuckLake schemas using concurrent, ergodic random walks and society-of-mind coordination.
This skill provides a mathematically rigorous way to navigate complex DuckLake and DuckDB database schemas through ergodic random walks. By implementing a triadic GF(3) structure—consisting of a validator, coordinator, and generator—it ensures irreducible and aperiodic exploration using PageRank-style teleportation. This allows developers to discover hidden table relationships, analyze schema coverage, and maintain structural integrity across data lakehouses using concurrent 'Society-of-Mind' walkers that simulate collective intelligence.
Key Features
01Automated validation and conservation checks using DuckLake semantics.
02Concurrent 'Society-of-Mind' walkers for multi-threaded schema discovery.
038 GitHub stars
04Ergodic random walks with PageRank-style teleportation for 100% schema reachability.
05Triadic GF(3) coordination across SQL, Clojure (Babashka), and Python components.
06Detailed output metrics including coverage percentage, Shannon entropy, and edge ratios.
Use Cases
01Identifying isolated data silos and validating schema connectivity in data lakehouses.
02Mapping complex foreign key relationships and data flows in large-scale DuckLake environments.
03Generating structural metrics and entropy reports for database auditing and documentation.
