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Efficient big data query method

A query method and big data technology, applied in the field of big data query, can solve long-time problems, achieve accurate query, reduce repeated query operations, and save search time

Active Publication Date: 2015-01-14
G CLOUD TECH
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  • Summary
  • Abstract
  • Description
  • Claims
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AI Technical Summary

Problems solved by technology

Although there are many new technologies or methods for big data processing, it still takes a long time to obtain data that meets user query needs from big data, and it is a huge challenge for the interactive query efficiency of big data. challenge

Method used

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  • Efficient big data query method

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Experimental program
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Embodiment Construction

[0022] Such as figure 1 Shown, the detailed flow process of the present invention is:

[0023] In the first step, the user enters the query keyword through the system;

[0024] In the second step, the system analyzes the user's query request intention and provides similar candidate query keywords for the user to choose. If the user does not select a candidate query keyword, the query keyword input by the user is used as the keyword for this query; the user After determining the final query keywords, the system performs word segmentation processing on the keywords to extract the subject and auxiliary words;

[0025] Among them, the specific method of providing similar candidate query keywords is as follows:

[0026] The system analyzes the user's query request intention through fuzzy matching with the historical query database, and provides similar candidate query keywords. Provide candidate keywords such as "car" and "bicycle" for users to choose;

[0027] The specific met...

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Abstract

The invention relates to the technical field of big data query, in particular to an efficient big data query method. The method includes: history query records of words are saved in a history query library; when a user inputs a query request, a system analyzes the query intention of the user first and provides candidate keywords for the user to choose, and the system performs word dividing on the keywords to extract main words and auxiliary words after the user determines the final query keywords; the system matches the main words with the history query library and combines corresponding history query library results and new data query results to generate a combined result set, and if the auxiliary words exist, query is continued on the basis of the combined result set to obtain the final query results; if no auxiliary words exist, the combined result set is directly used as the query results and returned to the user; finally, the history query library is updated. By the big data query method, big data searching time is reduced, and query efficiency is increased.

Description

technical field [0001] The invention relates to the technical field of big data query, in particular to an efficient big data query method. Background technique [0002] With the advent of the era of big data, in the face of the ever-increasing mass of data, how to better process big data and meet users' needs for efficient, accurate and personalized big data queries has gradually attracted people's attention. Although there are many new technologies or methods for big data processing, it still takes a long time to obtain data that meets user query needs from big data, and it is a huge challenge for the interactive query efficiency of big data. challenge. Contents of the invention [0003] The technical problem solved by the present invention is to provide an efficient big data query method, which can save big data processing time and realize efficient big data query. [0004] The technical scheme that the present invention solves the problems of the technologies describ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30
CPCG06F16/9535
Inventor 胡文彬艾建文季统凯
Owner G CLOUD TECH
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