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Shanoda et al., 2014 - Google Patents

JOMR: Multi-join optimizer technique to enhance map-reduce job

Shanoda et al., 2014

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Document ID
3380211050577181885
Author
Shanoda M
Senbel S
Khafagy M
Publication year
Publication venue
2014 9th International Conference on Informatics and Systems

External Links

Snippet

Map-Reduce is a programming model and execution an environment developed by Google to process very large amounts of data. Query optimizer is needed to find more efficient plans for declarative SQL query. In classic database: join algorithms are optimized to execute the …
Continue reading at www.researchgate.net (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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    • G06F17/30312—Storage and indexing structures; Management thereof
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    • G06F17/30861—Retrieval from the Internet, e.g. browsers

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