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Candea et al., 2009 - Google Patents

A scalable, predictable join operator for highly concurrent data warehouses

Candea et al., 2009

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Document ID
5608965193143677370
Author
Candea G
Polyzotis N
Vingralek R
Publication year
Publication venue
Proceedings of the 35th International Conference on Very Large Data Bases (VLDB)

External Links

Snippet

Conventional data warehouses employ the query-at-a-time model, which maps each query to a distinct physical plan. When several queries execute concurrently, this model introduces contention, because the physical plans—unaware of each other—compete for access to the …
Continue reading at infoscience.epfl.ch (PDF) (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
    • G06F17/30477—Query execution
    • G06F17/30483—Query execution of query operations
    • G06F17/30486—Unary operations; data partitioning operations
    • G06F17/30492—Efficient disk access during query execution
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