Interval based fuzzy database search

US9529865B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-9529865-B2
Application numberUS-201414179307-A
CountryUS
Kind codeB2
Filing dateFeb 12, 2014
Priority dateFeb 12, 2014
Publication dateDec 27, 2016
Grant dateDec 27, 2016

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Abstract

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A fuzzy database search technique is described for searching a database. The technique first prepares a database by first generating a reference hash value for each database entry to represent a value stored in a field of the database entry. The technique then receives search request to search for database entries in the database that have a value stored in the field that is within a provided range. The technique converts the search request into one or more search hash values and matches the search hash values to the reference hash values of the database to rapidly identify database entries that are likely relevant to the search.

First claim

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What is claimed is: 1. A computer-implemented method, comprising: preprocessing a database in a data storage device to modify a database schema for the database from an initial schema into a database schema that comprises a reference hash field for each database entry of the database for adding reference hash values to the reference hash fields of the database entries; receiving, by a processor in a search engine, a request from a client computer system to search the database, the request including a first search parameter identifying a first range of values, a second search parameter identifying a second range of values, and combinational logic for joining the first search parameter and the second search parameter; converting, by the search engine processor, the first search parameter into a first search hash value and the second search parameter into a second search hash value in response to the request, wherein the first search hash value represents an interval containing the first range of values and the second search hash value represents an interval containing the second range of values; searching, by the search engine processor, the database to identify database entries having reference hash values stored in the reference hash fields of the database entries that match the first search hash value and the second search hash value; joining database entries having hash values matching the first hash values and the second hash values into a combined list of database entries based on the combinational logic; and returning, by the search engine processor, the combined list of identified database entries to the client computer system. 2. The computer-implemented method of claim 1 , wherein the length of a search hash value is inversely proportional to the length of an interval. 3. The computer-implemented method of claim 1 , wherein a first database entry matching a first hash value generated from the first search parameter and a second database entry matching a second hash value generated from the second search parameter are identified when searching the database. 4. The computer-implemented method of claim 1 , wherein generating the search hash values comprises identifying, from a plurality of intervals, an interval that contains at least a portion of the first range of values. 5. The computer-implemented method of claim 1 , wherein the first and second range of values each represent a non-overlapping period of time. 6. The computer-implemented method of claim 1 further comprising: dividing the interval containing the first range of values into a set of equally sized intervals; and recursively dividing each interval into a set of equally sized sub-time intervals. 7. The computer-implemented method of claim 1 wherein searches with high precision are performed slower but result in a smaller set of database results, and wherein searches with low precision are performed faster but return a larger set of database results. 8. A non-transitory computer readable storage medium storing one or more programs, the one or more programs comprising instructions, which when executed by a computer system, cause the computer system to perform operations for: preprocessing a database in a data storage device to modify a database schema for the database from an initial schema into a database schema that comprises a reference hash field for each database entry of the database for adding reference hash values to the reference hash fields of the database entries; receiving, by a processor in a search engine, a request from a client computer system to search the database, the request including a first search parameter identifying a first range of values, a second search parameter identifying a second range of values, and combinational logic for joining the first search parameter and the second search parameter; converting, by the search engine processor, the first search parameter into a first search hash value and the second search parameter into a second search hash value in response to the request, wherein the first search hash value represents an interval containing the first range of values and the second search hash value represents an interval containing the second range of values; searching, by the search engine processor, the database to identify database entries having reference hash values stored in the reference hash fields of the database entries that match the first search hash value and the second search hash value; joining database entries having hash values matching the first hash values and the second hash values into a combined list of database entries based on the combinational logic; and returning, by the search engine processor, the combined list of identified database entries to the client computer system. 9. The non-transitory computer readable storage medium of claim 8 , wherein the length of a search hash value is inversely proportional to the length of an interval. 10. The non-transitory computer readable storage medium of claim 8 , wherein a first database entry matching a first hash value generated from the first search parameter and a second database entry matching a second hash value generated from the second search parameter are identified when searching the database. 11. The non-transitory computer readable storage medium of claim 8 , wherein generating the search hash values comprises identifying, from a plurality of intervals, an interval that contains at least a portion of the first range of values. 12. The non-transitory computer readable storage medium of claim 8 , wherein the first and second range of values each represent a non-overlapping period of time. 13. A computer system comprising: one or more computer processors; and a non-transitory computer-readable storage medium comprising instructions, that when executed by the one or more computer processors, controls the one or more computer processors to be configured for performing operations comprising: preprocessing a database in a data storage device to modify a database schema for the database from an initial schema into a database schema that comprises a reference hash field for each database entry of the database for adding reference hash values to the reference hash fields of the database entries; receiving a request from a client computer system to search the database, the request including a first search parameter identifying a first range of values, a second search parameter identifying a second range of values, and combinational logic for joining the first search parameter and the second search parameter; converting the first search parameter into a first search hash value and the second search parameter into a second search hash value in response to the request, wherein the first search hash value represents an interval containing the first range of values and the second search hash value represents an interval containing the second range of values; searching the database to identify database entries having reference hash values stored in the reference hash fields of the database entries that match the first search hash value and the second search hash value; and joining database entries having hash values matching the first hash values and the second hash values into a combined list of database entries based on the combinational logic; and returning the combined list of identified database entries to the client computer system. 14. The computer system of claim 13 , wherein the length of a search hash value is inversely proportional to the length of an interval. 15. The computer system of claim 13 , wherein a first datab

Assignees

Inventors

Classifications

  • Search customisation based on user profiles and personalisation · CPC title

  • Temporal data queries · CPC title

  • Fuzzy queries · CPC title

  • using file content signatures, e.g. hash values · CPC title

  • Physics · mapped topic

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What does patent US9529865B2 cover?
A fuzzy database search technique is described for searching a database. The technique first prepares a database by first generating a reference hash value for each database entry to represent a value stored in a field of the database entry. The technique then receives search request to search for database entries in the database that have a value stored in the field that is within a provided r…
Who is the assignee on this patent?
Herz Andreas, Sap Se
What technology area does this patent fall under?
Primary CPC classification G06F16/2468. Mapped technology areas include Physics.
When was this patent published?
Publication date Tue Dec 27 2016 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 8 related publications on this page (citations in our corpus or others sharing the same primary CPC).