Microsoft Technology Licensing, LLC

Salome Jacob

Lev Novik

Balan Sethu Raman

Michael W Thomas

Ashish B Shah

Rodger N Kline

Maxim Mazeev

Sanjay Anand

Anurag Gupta

Srinivasmurthy P Acharya

Sambavi Muthukrishnan

Edward Eric Thomas

Neil Leonard Padgett

Amit Shukla

Mahadevan Venkatraman

Kevin R Hughes

Joseph Trdinich

Sameet H Argawal

Roopali Kaujalgi

A data store in which changes are not tracked is synchronized with a data store in which changes are tracked utilizing a shadow store. The shadow store contains shadow data indicative of the most recent synchronization operation between the data stores. The shadow data comprises hash values of the data items in the limited or non-change-tracked data store. Changes to data items in the limited or non-change-tracked data store are operated on to provide respective hash values. The hash values are compared with the hash values in the shadow data. If the hash values differ, changes are appropriately applied to the data store, and the shadow data is appropriately updated. In an example embodiment, hash values are obtained from one-way hash functions, such MD5, SHA-1, SHA-256, or the like.

Synchronization of change-tracked data store with data store having limited or no change tracking

Rich structured data for items in a file system that allows different kinds of data to be identified by metadata is mapped into a set of search properties for a desktop search service, which is a flat list. This is applicable to any rich structured data that should be mapped into search properties for a desktop search service. Included is an installation mechanism to install these mappings and an execution infrastructure for utilizing the generated SQL from the mappings to extract search properties from items.

Defining and extracting a flat list of search properties from a rich structured type

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Salome Jacob