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Damasio et al., 2019 - Google Patents

Guided automated learning for query workload re-optimization

Damasio et al., 2019

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Document ID
15527898813102132875
Author
Damasio G
Corvinelli V
Godfrey P
Mierzejewski P
Mihaylov A
Szlichta J
Zuzarte C
Publication year
Publication venue
arXiv preprint arXiv:1901.02049

External Links

Snippet

Query optimization is a hallmark of database systems enabling complex SQL queries of today's applications to be run efficiently. The query optimizer often fails to find the best plan, when logical subtleties in business queries and schemas circumvent it. When a query runs …
Continue reading at arxiv.org (PDF) (other versions)

Classifications

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    • G06F17/30286—Information retrieval; Database structures therefor; File system structures therefor in structured data stores
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    • G06F17/30507—Applying rules; deductive queries
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