Generating in and exists queries using tensor representations

The present invention relates to generation of join query results in the management and execution of relational database queries. Query results and statistics regarding them are generated using a novel representation of an n-attribute relation as an order n relational tensor. Orders of the relationa...

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1. Verfasser: Amundsen, Lance Christopher
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description The present invention relates to generation of join query results in the management and execution of relational database queries. Query results and statistics regarding them are generated using a novel representation of an n-attribute relation as an order n relational tensor. Orders of the relational tensor respectively correspond to each of the attributes, and each coordinate along an order relates to a key value of the corresponding attribute. Numeric values are stored in the relational tensor, each numeric value representing a count of tuples having the attribute key values that correspond to the coordinate of the numeric value along the orders of the relational tensor. This storage representation is useful in a variety of contexts for enhancing the performance of a RDBMS system. Specifically, a data-representing relational tensor can be used to produce results for operations such as SQL restriction operations using IN and EXISTS criteria.
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title Generating in and exists queries using tensor representations
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