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Querying Big Data by Accessing Small Data

Summary: Define bounded evaluability: under index/cardinality access constraints, Q can be answered by inspecting a D_Q whose size and discovery cost depend only on Q and the constraints. Show FO undecidable in general, identify decidable FO fragments with effective syntax, and develop two approximation methods (bounded envelopes, parameter specialization) with decision/complexity results. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
1656
Venue
PODS
Year
2015
Pagerank
4.8388174e-05
Overall Rank
7,085 | 50.72%
DOI
10.1145/2745754.2745771

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Incoming Citations (Sorted by Pagerank)

Showing 10 of 10 citing papers.

Rank Citing Paper Year Venue Pagerank
1,204 VerdictDB: Universalizing Approximate Query Processing 2018 SIGMOD 0.00013319541
1,574 Approximate Query Processing: No Silver Bullet 2017 SIGMOD 0.00011287495
2,588 Database Learning: Toward a Database that Becomes Smarter Every Time 2017 SIGMOD 8.4909562e-05
6,730 A Hierarchical Contraction Scheme for Querying Big Graphs 2022 SIGMOD 4.9479867e-05
8,715 Data Driven Approximation with Bounded Resources 2017 VLDB 4.4619052e-05
8,961 An Effective Syntax for Bounded Relational Queries 2016 SIGMOD 4.4206115e-05
11,672 Block as a Value for SQL over NoSQL 2019 VLDB 4.1945683e-05
11,785 BEAS: Bounded Evaluation of SQL Queries 2017 SIGMOD 4.1945683e-05
11,826 Bounded Query Rewriting Using Views 2016 PODS 4.1945683e-05
11,831 Logical Aspects of Massively Parallel and Distributed Systems 2016 PODS 4.1945683e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 14 of 14 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

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