Efficient Datalog Querying with SQL: A Clever Environment-Relation Approach

This article presents a novel approach to translating Datalog programs into SQL queries. The author cleverly leverages the relational algebra capabilities of SQL, representing the variable binding environments from the Datalog program body as relations. This allows for efficient execution of Datalog queries using existing SQL engines. The method is not only clean but also allows for semi-naive evaluation using the dual number trick, further boosting performance. The article includes Python and SQL code examples, along with performance comparisons against other Datalog engines.
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