Data processing and retrieval method, database, retrieval engine and system

A data processing and retrieval engine technology, applied in database indexing, electronic digital data processing, structured data retrieval, etc., can solve the problems of time-out of retrieval process, low retrieval efficiency, long retrieval time, etc., to shorten retrieval time and improve retrieval efficiency. The effect of retrieval efficiency

Inactive Publication Date: 2019-03-01
BANK OF CHINA
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] Existing retrieval methods can only perform single-column fuzzy retrieval, which takes a long time to retrieve, and the retrieval process may even exi

Method used

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[0042] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative work shall fall within the protection scope of the present invention.

[0043] In view of the fact that the existing retrieval methods can only perform single-column fuzzy retrieval, and cannot perform conditional retrieval and pinyin retrieval, the retrieval time is long, and retrieval efficiency is low. The embodiment of the present invention provides a data processing method that can be used by a retrieval engine to perform multiple-column fuzzy retrieval. Retrieval, conditional retrieval and pinyin retrieval

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Abstract

The invention provides a data processing and retrieval method, a database, a retrieval engine and a system. The data processing method includes receiving updated data from a search engine; acquiring aprimary key, a plurality of table structure column names and a plurality of table record data corresponding to the plurality of table structure column names one by one according to the updated data;a JSON tag format process is carry out on that primary key, the column names of a plurality of table structures and the table record data to obtain the primary key formatted by the JSON tag, the column names of a plurality of table structures formatted by the JSON tag and the table record data formatted by the JSON tag; Splicing the primary key after JSON tag formatting, a plurality of table structure column names after JSON tag formatting and a plurality of table record data after JSON tag formatting to obtain splicing data; Sending the spliced data to the search engine can perform multi-column fuzzy search, conditional search and pinyin search, shorten the search time and improve the search efficiency.

Description

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Claims

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Application Information

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Owner BANK OF CHINA
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