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SQL declaratively specifies what the desired output of a query is. This workshows that a non-standard interpretation of the SQL semantics can, instead,disclose where a piece of the output originated in the input and why that piecefound its way into the result. We derive such data provenance for very rich SQLdialects (including recursion, windowed aggregates, and user-defined functions)at the fine-grained level of individual table cells. The approach isnon-invasive and implemented as a compositional source-level SQL rewrite: aninput SQL query is transformed into its own interpreter that wields datadependencies instead of regular values. We deliberately design thistransformation to preserve the shape of both data and query, which allowsprovenance derivation to scale to complex queries without overwhelming theunderlying database system.

You Say 'What', I Hear 'Where' and 'Why': (Mis-)Interpreting SQL to Derive Fine-Grained Provenance