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Facilitating SQL Query Composition and Analysis

Summary: Predicts pre-execution query properties to accelerate SQL tuning without DB statistics or execution plans. Data-driven neural models trained on large query workloads estimate answer size, runtime, and error class, empirically outperforming statistics- and plan-based baselines. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
5815
Venue
SIGMOD
Year
2020
Pagerank
5.4885366e-05
Overall Rank
5,473 | 61.93%
DOI
10.1145/3318464.3380602

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