Data processing: database and file management or data structures – Database design – Data structure types
Reexamination Certificate
2007-02-13
2007-02-13
Alam, Hosain (Department: 2166)
Data processing: database and file management or data structures
Database design
Data structure types
C707S793000, C707S793000, C707S793000
Reexamination Certificate
active
10704192
ABSTRACT:
Described herein are optimizations and execution strategies for spreadsheet extensions to SQL. The partitioning of data, as specified in a spreadsheet clause, provides a way to parallelize the computation of spreadsheet and to provide and improve scalability. Even if the partitioning is not explicitly specified in the spreadsheet clause, the database optimizer can automatically infer the partitioning in some cases. Efficient hash based access structures on relations can be used for symbolic array addressing, enabling fast computation of formulas. When rewriting SQL statements, formulas whose results are not referenced in outer blocks can be removed from the spreadsheet clause, thus removing unnecessary computations. The predicates from other query blocks can be moved inside query blocks with spreadsheets clauses, thus considerably reducing the amount of data to be processed. Conditions for validity of this transformation are given.
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Bellamkonda Srikanth
Bozkaya Tolga
Folkert Nathan
Gupta Abhinav
Subramanian Sankar
Ahn Sangwoo
Alam Hosain
Hickman Palermo & Truong & Becker LLP
Oracle International Corporation
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