Microsoft Technology Licensing, LLC

Tai The Do

Alexandre Vicktorovich Grigorovitch

Marcus Eduardo Markiewicz

Yisheng Chen

Vijayalakshmi Ramkumar

Apeksha Godiyal

Eric O'Brien

The systems and methods disclosed herein relate to using the clusters of a file to store versioning of a dataset. When the dataset is initially stored, a file is created that is twice the size of the dataset. The file may include one cluster (or a first set of clusters) that is marked as active and a second cluster (or a second set of clusters) that are marked inactive. The dataset is initially saved to the active cluster(s), and a version number is stored with the dataset. When the dataset is next saved, an application scans the file to determine whether there is (or are) an inactive cluster(s). If there is an inactive cluster(s) the second version of the dataset is saved to the inactive clusters. Both clusters are then marked active.

Efficient clustered persistence

Non-limiting examples of the present disclosure describe processing operations that achieve file consistency in the presence of a large-scale collaboration service. A mismatch may be determined between hash values associated with two or more versions of a file that is associated with a tenant of a productivity service. Version vector data for different versions of the file may be evaluated. Version vector data may comprise: a session value indicating a session of the productivity service and a version value that indicates a number of changes made by the tenant during the session. A synchronization determination is generated based on an evaluation of the version vector data for the different versions of the file.

File consistency across file versions maintained by different services

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Tai The Do