Infobright Inc.

Graham Toppin

Dominik A Slezak

Arkadiusz G Wojna

Marcin Kowalski

In a method for storing data in a relational database system using a processor, a collection of values is assigned to a structure dictionary, each of the values represents the value of a row for an attribute and has a unique ordinal number within the collection. and the structure dictionary contains structures defined based on at least one of interaction with a user of the system via an interface, automatic detection of structures occurring in data, automatic detection of frequencies of values occurring in data, analysis of a history of queries, and predetermined information about structures relevant to data content that is stored in the system. For each structure, forming a structure match list from ordinal numbers of values matching the structure, and a structure sub-collection from values matching the structure, using the processor. An outlier match list is formed from ordinal numbers of values that are not null and do not match any structure in the structure dictionary, and an outlier sub-collection is formed from values that are not null and do not match any structure in the structure dictionary. The collection of values is stored in the relational database in a form of structure match lists, structure sub-collections, outlier match list and outlier sub-collection.

System and method for storing data in a relational database

In a method for managing metadata in a relational database system using a processor, the metadata is created in a form of rough values corresponding to collections of values, wherein each rough value represents summarized information about values, the values are elements of the corresponding collection of values, and each rough value is substantially smaller than the corresponding collection of values. A collection of values is assigned to a structure dictionary, wherein each of the values represents the value of a row for an attribute and has a unique ordinal number within the collection, and wherein the structure dictionary contains structures defined based on at least one of interaction with a user of the system via an interface, automatic detection of structures occurring in data, and predetermined information about structures relevant to data content that is stored in the system. A match granule is formed, and for each structure in the structure dictionary, a structure granule is formed. Information represented by the match granule and the structure granules is summarized to form a rough value.

System and method for managing metadata in a relational database

In a method for storing data in a relational database system using a processor, a collection of values is assigned to a structure dictionary, wherein each of the values represents the value of a row for an attribute and has a unique ordinal number within the collection, and wherein the structure dictionary contains structures defined based on at least one of interaction with a user of the system via an interface, automatic detection of structures occurring in data, and predetermined information about structures relevant to data content that is stored in the system. For each structure in the structure dictionary, a structure match list is formed from ordinal numbers of values matching the structure, and a structure sub-collection from values matching the structure, using the processor. An outlier match list is formed from ordinal numbers of values that are not null and do not match any structure in the structure dictionary, and an outlier sub-collection from values that are not null and do not match any structure in the structure dictionary. The collection of values is stored in the relational database in a form of structure match lists, structure sub-collections, outlier match list and outlier sub-collection.

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Graham Toppin