Declarative Debugging of Wrong and Missing Answers for SQL Views

  • Rafael Caballero
  • Yolanda García-Ruiz
  • Fernando Sáenz-Pérez
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7294)


This paper presents a debugging technique for diagnosing errors in SQL views. The debugger allows the user to specify the error type, indicating if there is either a missing answer (a tuple was expected but it is not in the result) or a wrong answer (the result contains an unexpected tuple). This information is employed for slicing the associated queries, keeping only those parts that might be the cause of the error. The validity of the results produced by sliced queries is easier to determine, thus facilitating the location of the error. Although based on the ideas of declarative debugging, the proposed technique does not use computation trees explicitly. Instead, the logical relations among the nodes of the trees are represented by logical clauses that also contain the information extracted from the specific questions provided by the user. The atoms in the body of the clauses correspond to questions that the user must answer in order to detect an incorrect relation. The resulting logic program is executed by selecting at each step the unsolved atom that yields the simplest question, repeating the process until an erroneous relation is detected. Soundness and completeness results are provided. The theoretical ideas have been implemented in a working prototype included in the Datalog system DES.


Logic Program Database Schema Horn Clause View Versus Basic Query 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Rafael Caballero
    • 1
  • Yolanda García-Ruiz
    • 1
  • Fernando Sáenz-Pérez
    • 2
  1. 1.Departamento de Sistemas Informáticos y ComputaciónUniversidad Complutense de MadridSpain
  2. 2.Dept. de Ingeniería del Software e Inteligencia ArtificialUniversidad Complutense de MadridSpain

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