The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.
Maintaining views incrementally
Abstract
We present incremental evaluation algorithms to compute changes to materialized views in relational and deductive database systems, in response to changes (insertions, deletions, and updates) to the relations. The view definitions can be in SQL or Datalog, and may use UNION, negation, aggregation (e.g. SUM, MIN), linear recursion, and general recursion.We first present a counting algorithm that tracks the number of alternative derivations (counts) for each derived tuple in a view. The algorithm works with both set and duplicate semantics. We present the algorithm for nonrecursive views (with negation and aggregation), and show that the count for a tuple can be computed at little or no cost above the cost of deriving the tuple. The algorithm is optimal in that it computes exactly those view tuples that are inserted or deleted. Note that we store only the number of derivations, not the derivations themselves.We then present the Delete and Rederive algorithm, DRed, for incremental maintenance of recursive views (negation and aggregation are permitted). The algorithm works by first deleting a superset of the tuples that need to be deleted, and then rederiving some of them. The algorithm can also be used when the view definition is itself altered.
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Cites
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Self-citationQuery optimization in deductive and relational databases
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Self-citation
Cited by
ProbView: a flexible probabilistic database system
Lakshmanan, L. V. S., Leone, N., Ross, R., & Subrahmanian, V. S. (1997) · ACM Transactions on Database Systems · doi:10.1145/261124.261131 · Cited by 338
Self-citationContinual queries for Internet scale event-driven information delivery
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Design and implementation of the LogicBlox system
Aref, M., ten Cate, B., Green, T. J., Kimelfeld, B., Olteanu, D., Pasalic, E., Veldhuizen, T. L., & Washburn, G. (2015) · Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data · doi:10.1145/2723372.2742796 · Cited by 233
DBSP: Automatic Incremental View Maintenance for Rich Query Languages
Budiu, M., Chajed, T., McSherry, F., Ryzhyk, L., & Tannen, V. (2023) · Proceedings of the VLDB Endowment · doi:10.14778/3587136.3587137 · Cited by 31
Metadata
- Authors
- Gupta, A., Mumick, I. S., & Subrahmanian, V. S.
- Venue
- Proceedings of the 1993 ACM SIGMOD international conference on Management of data
- Publisher
- ACM
- Published
- 1993-06
- Pages
- 157-166
- ISSN
- 0730-8078 (ISSN-L)
- OpenAlex
- W2012670464
- Cited by
- 654
- References
- 9
- FWCI
- 22.17
- Type
- conference paper
- Language
- en
- Open access
- closed
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