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Relational data searching method and device

A search method and relational technology, applied in the field of relational data search methods and devices, can solve the problems of slow database retrieval, inflexible memory retrieval query methods, etc., so as to improve the data search speed and system performance, and improve the speed , The effect of balancing the data processing load

Active Publication Date: 2013-12-04
ULTRAPOWER SOFTWARE
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Problems solved by technology

[0005] The present invention provides a search method and device for relational data to solve the problems of slow speed of database retrieval and inflexible query mode of memory retrieval in existing schemes

Method used

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  • Relational data searching method and device
  • Relational data searching method and device

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Embodiment Construction

[0021] In order to make the object, technical solution and advantages of the present invention clearer, the implementation manner of the present invention will be further described in detail below in conjunction with the accompanying drawings.

[0022] The technical idea of ​​the embodiments of the present invention is to select a certain search condition or a combination of search conditions to establish an index, and store the established index in a memory (index memory). Since when the capacity of relational data is large, the index capacity will also be large. In order to achieve expansion, a configuration table is established as the routing configuration of the index, that is, a certain index is stored in a certain index memory; and when an index When the memory access pressure is huge or the stored index exceeds the upper limit of the memory, capacity expansion is also required, and an index is stored in multiple index memories respectively, thus completing the constructi...

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Abstract

The invention discloses a relational data searching method and device. The relational data searching method includes: setting digital codes corresponding to searching conditions, utilizing the digital codes of at least one searching condition to generate indexes, and storing Keys of relational data in multiple index memories according to the indexes and route configuration; when corresponding indexes exist in the received searching conditions, determining the index memories corresponding to the searching conditions according to the indexes and the route configuration, and when the corresponding indexes do not exist in the received searching conditions, selecting the index memories randomly; extracting searching description identifications matching with the conditions from the determined index memories according to the received searching conditions; utilizing the searching description identifications to acquire corresponding Keys, and acquiring Values of the relational data through the acquired keys. The relational data searching method and device can be applied to various situations for searching the relational data.

Description

technical field [0001] The invention relates to the technical field of data processing, in particular to a search method and device for relational data. Background technique [0002] A relational database is a database built on the basis of a relational model, which has been widely used because it can better simulate various entities and the relationship between entities in the real world. How to quickly retrieve the required data from the relational database has always been one of the important research topics in the industry. [0003] In order to improve retrieval efficiency, an index is often established for the database, and the query condition uses the index to quickly lock the query data range, and finally returns the query result. A popular retrieval solution in the market is to use Structured Query Language (SQL) for retrieval. When performing data retrieval, various relational conditions are input. The relational conditions will generate the where condition of the ...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30
Inventor 蔡良木
Owner ULTRAPOWER SOFTWARE
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