Oracle International Corporation

Exigen Properties, Inc.

Gregory Dorman

Andrew Witkowski

David Greenfield

Cetin Ozbutun

Ekrem Soylemez

James E Carey

Martin Roth

Caleb Welton

Matthew Dombroski

Albert A Hopeman, Iv

Christopher Kearney

Lev Margulis

Fred Zemke

Systems, methods and machine-readable mediums for defining and executing new commands in a spreadsheet application are provided. A method may include receiving a declaration command in a first spreadsheet cell. The declaration command identifying a command name for the new command and operations performed for the command name based on a plurality of second spreadsheet cells. A system may include a processor programmed to evaluate the declaration command in the first spreadsheet cell according to the instructions stored in a storage device, receive the command name and at least two parameters identifying at least one input spreadsheet cell and at least one output spreadsheet cell of the spreadsheet application, create a new command for the spreadsheet application, and evaluate the new command as identified by the command name in a second spreadsheet cell for execution. The computer readable mediums provide instructions to cause the processor to perform the operations above.

Systems, methods and machine readable mediums for defining and executing new commands in a spreadsheet software application

A method and mechanism for performing an operation based on multidimensional data in a relational database. A first query is submitted to a relational database engine of the relational database management system, thereby causing a relational cube to be generated. The first query includes instructions to select a portion of multidimensional data for inclusion in the relational cube. The first query includes instructions to group the selected portion of multidimensional data using at least two or more levels of granularity of at least one dimension. The first query also includes instructions to generate a materialized view. Based on a received request for an operation, a second query is submitted to the relational database engine for execution against the relational cube, thereby causing the operation to be performed.

Using relational structures to create and support a cube within a relational database system

In processing a query on multidimensional data in a multidimensional schema, a multidimensional database server performs various processes to limit the amount of data that is extracted from the database and presented to a relational database server in response to the request. A subset of data is identified to extract from the multidimensional data, based on the query. In various embodiments, cell-filtering, measure-filtering, and column-filtering criteria identified from the query are used to filter the subset of data, in order to return a minimized set of multidimensional data values from the subset of data. Therefore, computational resources are conserved with respect to further processing by the relational database server in response to the query.

Efficient SQL access to multidimensional data

A method and mechanism for performing an operation based on multidimensional data in a relational database. A query is generated that includes a first set of instructions to select a portion of multidimensional data for inclusion in a relational cube and a second set of instructions to group the portion of multidimensional data in the relational cube using at least two or more levels of granularity of at least one dimension, thereby causing a relational cube to be generated. Based on a received request for an operation to be performed, the query is modified to include a third set of instructions that represent the requested operation; and the query is submitted to the relational database engine of the relational database management system. Thereafter, the operation is performed against the relational cube.

Methods of navigating a cube that is implemented as a relational object

A method and system for performing spreadsheet-like operations in a database system is described herein. As explained, a database language is extended to introduce new clauses ('spreadsheet-like clauses'), for defining and executing spreadsheet-like operations on data contained within a RDBMS. According to one aspect of the invention, in response to receiving a database query that specifies an operation for manipulating data, data from a relational structure is retrieved and stored in a non-relational structure that can be addressed as a multi-dimensional array. The operation specified in the database query is the performed on then data.

Performing spreadsheet-like calculations in a database system

Growing community of inventors

New York, NY, United States of America

Gregory Dorman