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Chen et al., 2018 - Google Patents

Query grouping–based multi‐query optimization framework for interactive SQL query engines on Hadoop

Chen et al., 2018

Document ID
4107751290638553839
Author
Chen L
Lin Y
Wang J
Huang H
Chen D
Wu Y
Publication year
Publication venue
Concurrency and Computation: Practice and Experience

External Links

Snippet

In the past few years, executing high‐concurrency queries with interactive SQL query engines on Hadoop has become an important activity for many organizations. However, these systems do not adopt Multi‐Query Optimization (MQO) to accelerate the process …
Continue reading at onlinelibrary.wiley.com (other versions)

Classifications

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    • G06F17/30286Information retrieval; Database structures therefor; File system structures therefor in structured data stores
    • G06F17/30386Retrieval requests
    • G06F17/30424Query processing
    • G06F17/30533Other types of queries
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
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    • G06F17/30477Query execution
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    • G06F17/30289Database design, administration or maintenance
    • GPHYSICS
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    • G06F17/30575Replication, distribution or synchronisation of data between databases or within a distributed database; Distributed database system architectures therefor
    • G06F17/30584Details of data partitioning, e.g. horizontal or vertical partitioning
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    • G06F17/30312Storage and indexing structures; Management thereof
    • GPHYSICS
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    • G06Q30/00Commerce, e.g. shopping or e-commerce

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