The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Join processing in relational databases
Abstract
The join operation is one of the fundamental relational database query operations. It facilitates the retrieval of information from two different relations based on a Cartesian product of the two relations. The join is one of the most diffidult operations to implement efficiently, as no predefined links between relations are required to exist (as they are with network and hierarchical systems). The join is the only relational algebra operation that allows the combining of related tuples from relations on different attribute schemes. Since it is executed frequently and is expensive, much research effort has been applied to the optimization of join processing. In this paper, the different kinds of joins and the various implementation techniques are surveyed. These different methods are classified based on how they partition tuples from different relations. Some require that all tuples from one be compared to all tuples from another; other algorithms only compare some tuples from each. In addition, some techniques perform an explicit partitioning, whereas others are implicit.
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Cites
A relational model of data for large shared data banks
Codd, E. F. (1970) · Communications of the ACM · doi:10.1145/362384.362685 · Cited by 5,547
Metadata
- Authors
- Mishra, P., & Eich, M. H.
- Venue
- ACM Computing Surveys
- Published
- 1992-03
- Volume
- 24
- Issue
- 1
- Pages
- 63-113
- ISSN
- 0360-0300 (ISSN-L)
- 1557-7341
- OpenAlex
- W2015372451
- Cited by
- 409
- References
- 1
- FWCI
- 21.19
- Type
- journal article
- Language
- en
- Open access
- closed
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- Mishra, P., & Eich, M. H. (1992). Join processing in relational databases. ACM Computing Surveys. https://doi.org/10.1145/128762.128764
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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