Translate Datalog rules into SQL queries with recursion and negation.
npx skills add https://github.com/hafley66/claude-research --skill datalog-to-sql
Please help me install this Agent Skill. Skill: datalog-to-sql Source: https://github.com/hafley66/claude-research/tree/main/skills/datalog-to-sql Command: npx skills add https://github.com/hafley66/claude-research --skill datalog-to-sql
Translates Datalog rule bodies into equivalent SQL queries, enabling reliable relational execution of logic programs with deterministic joins, recursion, negation, and semi-naive evaluation.
Translate a simple Datalog program into SQL using the compiler to produce the corresponding SQL statements.
High-intent search queries and answers about installing and using this skill.
To translate Datalog rules into SQL queries, the compiler parses single-body rules into SELECT statements, converting multi-literal bodies into JOINs and outputting UNION ALL for multiple rules defining the same relation.
You can handle Datalog recursion using SQL by applying the WITH RECURSIVE clause, which enables the relational engine to compute transitive closures and reason through recursive relations effectively.
Negation in Datalog to SQL translation works by applying stratification to safely order rules, then using the NOT EXISTS clause to exclude facts that match the negated literal within the generated query.
Semi-naive evaluation in SQL query generation uses INSERT ... WHERE NOT EXISTS statements to incrementally materialize recursive relations, ensuring only new facts are processed in each iteration to avoid redundant computations.
This Datalog to SQL translation supports data analytics pipelines by executing logic programs directly within a relational engine, enabling deterministic processing of aggregated results and transitive closures for analytical workloads.
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