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Maintaining views incrementally

Authors:

Inderpal Singh Mumick,

V. S. SubrahmanianAuthors Info & Claims

ACM SIGMOD Record, Volume 22, Issue 2

Pages 157 - 166

https://doi.org/10.1145/170036.170066

Published: 01 June 1993 Publication History

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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Aghasadeghi AVan den Bussche JStoyanovich J(2024)Temporal graph patterns by timed automataThe VLDB Journal — The International Journal on Very Large Data Bases10.1007/s00778-023-00795-z33:1(25-47)Online publication date: 1-Jan-2024
https://dl.acm.org/doi/10.1007/s00778-023-00795-z
Qayyum OYu W(2024)Coordination-Free Replicated Datalog Streams with Application-Specific AvailabilityAdvances in Databases and Information Systems10.1007/978-3-031-70626-4_11(155-169)Online publication date: 1-Sep-2024
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Index Terms

Maintaining views incrementally
1. Information systems
  1. Data management systems
    1. Database management system engines
    2. Query languages
2. Theory of computation
  1. Theory and algorithms for application domains
    1. Database theory
      1. Database query languages (principles)

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Information & Contributors

Information

Published In

cover image ACM SIGMOD Record

ACM SIGMOD Record Volume 22, Issue 2

June 1, 1993

558 pages

ISSN:0163-5808

DOI:10.1145/170036

Editors:
Peter Buneman
Univ. of Pennsylvania
,
Sushil Jajodia,
Won Kim
UniSQL, Inc., Austin, TX

Issue’s Table of Contents

SIGMOD '93: Proceedings of the 1993 ACM SIGMOD international conference on Management of data
June 1993
566 pages
ISBN:0897915925
DOI:10.1145/170035
Editors:
Peter Buneman
Univ. of Pennsylvania
,
Sushil Jajodia

Copyright © 1993 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 01 June 1993

Published in SIGMOD Volume 22, Issue 2

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Mackey IChimni RSu J(2024)Early detection of temporal constraint violationsInformation and Computation10.1016/j.ic.2023.105114296(105114)Online publication date: Jan-2024
https://doi.org/10.1016/j.ic.2023.105114
Aghasadeghi AVan den Bussche JStoyanovich J(2024)Temporal graph patterns by timed automataThe VLDB Journal — The International Journal on Very Large Data Bases10.1007/s00778-023-00795-z33:1(25-47)Online publication date: 1-Jan-2024
https://dl.acm.org/doi/10.1007/s00778-023-00795-z
Qayyum OYu W(2024)Coordination-Free Replicated Datalog Streams with Application-Specific AvailabilityAdvances in Databases and Information Systems10.1007/978-3-031-70626-4_11(155-169)Online publication date: 1-Sep-2024
https://doi.org/10.1007/978-3-031-70626-4_11
Zhang XHu PNenov YHorrocks IElkind E(2023)Enhancing datalog reasoning with hypertree decompositionsProceedings of the Thirty-Second International Joint Conference on Artificial Intelligence10.24963/ijcai.2023/377(3383-3393)Online publication date: 19-Aug-2023
https://dl.acm.org/doi/10.24963/ijcai.2023/377
Sheoran NChockchowwat SChheda AWang SVerma RPark Y(2023)A Step Toward Deep Online AggregationProceedings of the ACM on Management of Data10.1145/35892691:2(1-28)Online publication date: 20-Jun-2023
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Svingos CHernich AGildhoff HPapakonstantinou YIoannidis Y(2023)Foreign Keys Open the Door for Faster Incremental View MaintenanceProceedings of the ACM on Management of Data10.1145/35887201:1(1-25)Online publication date: 30-May-2023
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Litt GSchiefer NSchickling JJackson D(2023)Riffle: Reactive Relational State for Local-First ApplicationsProceedings of the 36th Annual ACM Symposium on User Interface Software and Technology10.1145/3586183.3606801(1-16)Online publication date: 29-Oct-2023
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Aamer HMontali MVan den Bussche J(2023)What Can Database Query Processing Do for Instance-Spanning Constraints?Business Process Management Workshops10.1007/978-3-031-25383-6_11(132-144)Online publication date: 9-Feb-2023
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Sebaa A(2022)Parallel Maintenance of Materialized Views in Large-Scale Analytic PlatformsInternational Journal of Organizational and Collective Intelligence10.4018/IJOCI.30520912:1(1-19)Online publication date: 21-Jul-2022
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Chen HWhitters GAmiri MWang YLoo BRoychoudhury ACadar CKim M(2022)Declarative smart contractsProceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering10.1145/3540250.3549121(281-293)Online publication date: 7-Nov-2022
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