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CoPhy: A Scalable, Portable, and Interactive Index Advisor for Large Workloads

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arxiv 1104.3214 v1 pith:KYN5IGXE submitted 2011-04-16 cs.DB

classification cs.DB
keywords indextuningproblemindexeslargespacetechniquesthousands
verification ladder T0 review T1 audit T2 compute T3 formal
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Index tuning, i.e., selecting the indexes appropriate for a workload, is a crucial problem in database system tuning. In this paper, we solve index tuning for large problem instances that are common in practice, e.g., thousands of queries in the workload, thousands of candidate indexes and several hard and soft constraints. Our work is the first to reveal that the index tuning problem has a well structured space of solutions, and this space can be explored efficiently with well known techniques from linear optimization. Experimental results demonstrate that our approach outperforms state-of-the-art commercial and research techniques by a significant margin (up to an order of magnitude).

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Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. AIM: A practical approach to automated index management for SQL databases

    cs.DB 2026-05 unverdicted novelty 4.0 of 10

    AIM is an automated index recommendation engine for SQL databases that has been validated on thousands of production instances with fast convergence, no-regression guarantees, and metrics-driven explanations.

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