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Trummer, 2019 - Google Patents

Exact cardinality query optimization with bounded execution cost

Trummer, 2019

Document ID
7837204489616303317
Author
Trummer I
Publication year
Publication venue
proceedings of the 2019 international conference on management of data

External Links

Snippet

Query optimizers often produce sub-optimal query plans due to inaccurate cardinality estimates. The goal of exact cardinality query optimization (ECQO) is to produce optimal plans based on guaranteed exact cardinality values, obtained via probe executions. We …
Continue reading at dl.acm.org (other versions)

Classifications

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    • G06F17/30286—Information retrieval; Database structures therefor; File system structures therefor in structured data stores
    • G06F17/30386—Retrieval requests
    • G06F17/30424—Query processing
    • G06F17/30442—Query optimisation
    • G06F17/30448—Query rewriting and transformation
    • G06F17/30474—Run-time optimisation
    • G—PHYSICS
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    • G06F17/30451—Query rewriting and transformation of sub-queries or views
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