Algorithms for Deferred View Maintenance.

@inproceedings{DBLP:conf/sigmod/ColbyGLMT96,
  author    = {Latha S. Colby and
               Timothy Griffin and
               Leonid Libkin and
               Inderpal Singh Mumick and
               Howard Trickey},
  editor    = {H. V. Jagadish and
               Inderpal Singh Mumick},
  title     = {Algorithms for Deferred View Maintenance},
  booktitle = {Proceedings of the 1996 ACM SIGMOD International Conference on
               Management of Data, Montreal, Quebec, Canada, June 4-6, 1996},
  publisher = {ACM Press},
  year      = {1996},
  pages     = {469-480},
  ee        = {http://doi.acm.org/10.1145/233269.233364, db/conf/sigmod/ColbyGLMT96.html},
  crossref  = {DBLP:conf/sigmod/96},
  bibsource = {DBLP, http://dblp.uni-trier.de}
}

Abstract

Materialized views and view maintenance are important for data warehouses, retailing, banking, and billing applications. We consider two related view maintenance problems: 1) how to maintain views after the base tables have already been modified, and 2) how to minimize the time for which the view is inaccessible during maintenance.

Typically, a view is maintained immediately, as a part of the transaction that updates the base table. Immediate maintenance imposes a significant overhead on update transactions that cannot be tolerated in many applications. In contrast, deferred maintenance allows a view to become inconsistent with its definition. A refresh operation is used to reestablish consistency. We present new algorithms to incrementally refresh a view during deferred maintenance. Our algorithms avoid a state bug that has artificially limited techniques previouslly used for deferred maintenance.

Incremental deferred view maintenance requires auxiliary tables that contain information recorded since the last view refresh. We present three scenarios for the use of auxiliary tables and show how these impact per-transaction overhead and view refresh time. Each scenario is described by an invariant that is required to hold in all database states. We then show that, with the proper choice of auxiliary tables, it is possible to lower both per-transaction overhead and view refresh time.

Copyright © 1996 by the ACM, Inc., used by permission. Permission to make digital or hard copies is granted provided that copies are not made or distributed for profit or direct commercial advantage, and that copies show this notice on the first page or initial screen of a display along with the full citation.

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