Microsoft Technology Licensing, LLC

Jinlin Yang

Haibin Xie

Peter Chapman

Michael Y Levin

Event stream attributes are analyzed to determine whether the attributes are of a statistical enumerated type, or, in other words, whether the attributes comprise statistically fixed sets of unique values, for instance. The analysis can involve determining a magnitude of change to a set of unique attribute values. In one instance, such a determination can be performed as a function of a number, or count, of unique values. Further, event stream processing can be performed dynamically, for instance, by partitioning data into time intervals and processing the intervals incrementally.

Mining for statistical enumerated type

Time-based event stream attributes are analyzed to determine whether the attributes are of a statistical enumerated type, or, in other words, whether the attributes comprise statistically fixed sets of unique values, for instance. The analysis can involve determining a magnitude of change to a set of unique attribute values. In one instance, such a determination can be performed as a function of a number, or count, of unique values. Further, event stream processing can be performed dynamically, for instance, by partitioning data into time intervals and processing the intervals incrementally.

Embodiments are directed to replicating database tables for efficient data querying and to using a background task to update a database index table on a periodic basis. In one scenario, a computer system accesses an existing, original time-based database table that includes various entities and properties for each entity. Each entity also includes a time stamp value. The computer system receives an indication that the new index table is to be indexed according to a user-specified property and sorts the new index table based on both the value of the user-specified property and the time stamp value of the entity to which the user-specified property belongs. The computer system then periodically copies the entities and associated properties of the original time-based database table into a new database index table.

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Jinlin Yang