Invention Grant
- Patent Title: Efficient denormalization of data instances
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Application No.: US15227745Application Date: 2016-08-03
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Publication No.: US10540332B2Publication Date: 2020-01-21
- Inventor: Christopher Clayton McConnell , Weipeng Liu , Shahin Shayandeh , Robert Lovejoy Goodwin
- Applicant: Microsoft Technology Licensing, LLC
- Applicant Address: US WA Redmond
- Assignee: MICROSOFT TECHNOLOGY LICENSING, LLC
- Current Assignee: MICROSOFT TECHNOLOGY LICENSING, LLC
- Current Assignee Address: US WA Redmond
- Agency: Shook, Hardy & Bacon L.L.P.
- Main IPC: G06F16/21
- IPC: G06F16/21 ; G06F16/22 ; G06F16/23 ; G06F16/9535

Abstract:
Technologies are described herein for denormalizing data instances. Schemas for data instances are embedded with annotations indicating how the denormalization is to be performed. Based on the annotations, one or more sub per object indexes (“sub POIs”) can be generated for each data instance and stored. The sub POIs can include a target sub POI containing data from the data instance, and at least one source sub POI containing data from another data instance, if the data instance depends on the other data instance. Data instance updates can be performed by identifying sub POIs that are related to the updated data instance in storage, and updating the related sub POIs according to the update to the data instance. The sub POIs can be sent to an indexing engine to generate an index for a search engine to facilitate searches on the data instances.
Public/Granted literature
- US20180039656A1 Efficient Denormalization of Data Instances Public/Granted day:2018-02-08
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