ITERATE-AGGREGATE QUERY PARALLELIZATION

Patent №

US 7,680,765

Granted

2010-03-16

Filed 2006

Owner

MICROSOFT CORPORATION

AI components

3

kr · planning · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

11616712

Iterate-aggregate shape queries are executable in an efficient parallel manner. Techniques are utilized that leverage properties of aggregations to implement such a query in a highly parallelized manner utilizing one or both of vertical and horizontal parallelism. More specifically, queries can be recursively evaluated in parallel utilizing partitioning and repartitioning mechanisms. Distributed query execution results over a subset of input data are repartitioned and aggregated to produce a final result.

AI classification

Knowledge representation1.00
AI hardware1.00
Planning0.99
Natural language0.28
Machine learning0.06
Evolutionary computation0.00
Vision0.00
Speech0.00

Ownership

MICROSOFT CORPORATION

assignment · 186830356

Assignors

MEIJER, HENRICUS JOHANNES MARIA, LAMMEL, RALF, BECKMAN, BRIAN C.

On an employer assignment, the assignors are typically the inventors.

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