Finding Smallest Witnesses for Conjunctive Queries

A witness is a sub-database that preserves the query results of the original database, but of a much smaller size. It has wide applications in query rewriting and debugging, query explanation, IoT analytics, multi-layer network routing, etc. In this paper, we study the smallest witness problem ( SWP ) for the class of conjunctive queries (CQs) without self-joins. We first establish the dichotomy that SWP for a CQ can be computed in polynomial time if and only if it has head-cluster property , unless \(\texttt {P} = \texttt {NP} \) . Furthermore, we discover the dichotomy that SWP for a CQ with head-cluster property can be computed in linear time if and only if it is acyclic, assuming some well-known conjectures. We next turn to the approximated version by relaxing the size of a witness from being minimum. We surprisingly find that the head-domination property - that has been identified for the deletion propagation problem [40] - can also precisely capture the hardness of the approximated smallest witness problem. In polynomial time, SWP for any CQ with head-domination property can be approximated within a constant factor, while SWP for any CQ without such a property cannot be approximated within a logarithmic factor, unless \(\texttt {P} = \texttt {NP} \) . We further explore efficient approximation algorithms for CQs without the head-domination property: (1) we show a trivial algorithm that achieves a polynomially large approximation ratio for general CQs; (2) for any CQ with only one non-output attribute, such as star CQs, we show a greedy algorithm with a logarithmic approximation ratio; (3) for line CQs, which contain at least two non-output attributes, we relate SWP problem to the directed Steiner forest problem, whose algorithms can be applied to line CQs directly. Meanwhile, we establish an exponentially larger lower bound than above. It remains open to close the gap between the lower and upper bounds of the approximated SWP for CQs without the head-domination property.

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Publication Details

Journal
ACM Transactions on Database Systems
Published
2025-12-30
DOI
https://doi.org/10.1145/3786785
Primary Topic
Advanced Database Systems and Queries
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article
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article

Finding Smallest Witnesses for Conjunctive Queries

Stavros Sintos, Xiao Hu
ACM Transactions on Database Systems
Advanced Database Systems and Queries
article

Finding Smallest Witnesses for Conjunctive Queries

Stavros Sintos, Xiao Hu
article en

Abstract

A witness is a sub-database that preserves the query results of the original database, but of a much smaller size. It has wide applications in query rewriting and debugging, query explanation, IoT analytics, multi-layer network routing, etc. In this paper, we study the smallest witness problem ( SWP ) for the class of conjunctive queries (CQs) without self-joins. We first establish the dichotomy that SWP for a CQ can be computed in polynomial time if and only if it has head-cluster property , unless \(\texttt {P} = \texttt {NP} \) . Furthermore, we discover the dichotomy that SWP for a CQ with head-cluster property can be computed in linear time if and only if it is acyclic, assuming some well-known conjectures. We next turn to the approximated version by relaxing the size of a witness from being minimum. We surprisingly find that the head-domination property - that has been identified for the deletion propagation problem [40] - can also precisely capture the hardness of the approximated smallest witness problem. In polynomial time, SWP for any CQ with head-domination property can be approximated within a constant factor, while SWP for any CQ without such a property cannot be approximated within a logarithmic factor, unless \(\texttt {P} = \texttt {NP} \) . We further explore efficient approximation algorithms for CQs without the head-domination property: (1) we show a trivial algorithm that achieves a polynomially large approximation ratio for general CQs; (2) for any CQ with only one non-output attribute, such as star CQs, we show a greedy algorithm with a logarithmic approximation ratio; (3) for line CQs, which contain at least two non-output attributes, we relate SWP problem to the directed Steiner forest problem, whose algorithms can be applied to line CQs directly. Meanwhile, we establish an exponentially larger lower bound than above. It remains open to close the gap between the lower and upper bounds of the approximated SWP for CQs without the head-domination property.

ACM Transactions on Database Systems
University of Waterloo (CA), University of Illinois Chicago (US)
Peace, Justice and strong institutions
Openalex Percentile: Top 32%
Advanced Database Systems and Queries
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Finding Smallest Witnesses for Conjunctive Queries — Stavros Sintos, Xiao Hu · ACM Transactions on Database Systems (2025) | TGRS Research Map | TGRS