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Li et al., 2021 - Google Patents

opengauss: An autonomous database system

Li et al., 2021

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Document ID
5237013395355779419
Author
Li G
Zhou X
Sun J
Yu X
Han Y
Jin L
Li W
Wang T
Li S
Publication year
Publication venue
Proceedings of the VLDB Endowment

External Links

Snippet

Although learning-based database optimization techniques have been studied from academia in recent years, they have not been widely deployed in commercial database systems. In this work, we build an autonomous database framework and integrate our …
Continue reading at dbgroup.cs.tsinghua.edu.cn (PDF) (other versions)

Classifications

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    • G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
    • G06F17/30286—Information retrieval; Database structures therefor; File system structures therefor in structured data stores
    • G06F17/30386—Retrieval requests
    • G06F17/30424—Query processing
    • G06F17/30533—Other types of queries
    • G—PHYSICS
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    • 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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    • G06F17/30477—Query execution
    • G06F17/30507—Applying rules; deductive queries
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    • Y10—TECHNICAL SUBJECTS COVERED BY FORMER USPC
    • Y10S—TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y10S707/00—Data processing: database and file management or data structures
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