Affiliation:
1. Illinois Institute of Technology
2. Oracle
Abstract
Database systems use static analysis to determine upfront which data is needed for answering a query and use indexes and other physical design techniques to speed-up access to that data. However, for important classes of queries, e.g., HAVING and top-k queries, it is impossible to determine up-front what data is
relevant.
To overcome this limitation, we develop provenance-based data skipping (PBDS), a novel approach that generates provenance sketches to concisely encode what data is relevant for a query. Once a provenance sketch has been captured it is used to speed up subsequent queries. PBDS can exploit physical design artifacts such as indexes and zone maps.
Publisher
Association for Computing Machinery (ACM)
Subject
General Earth and Planetary Sciences,Water Science and Technology,Geography, Planning and Development
Reference93 articles.
1. [n.d.]. http://www.tpc.org/tpch/ (visited on 10/28/2021). [n.d.]. http://www.tpc.org/tpch/ (visited on 10/28/2021).
2. Serge Abiteboul and Olivier Duschka. 2013. Complexity of Answering Queries Using Materialized Views. (2013). Serge Abiteboul and Olivier Duschka. 2013. Complexity of Answering Queries Using Materialized Views. (2013).
3. Complexity of answering queries using materialized views
4. Efficient bulk updates on multiversion B-trees
Cited by
2 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献