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Large data query method and system

A query method and data query technology, applied in the field of big data query methods and systems, can solve problems such as inability to quickly and accurately locate target data, excessive data volume, etc.

Active Publication Date: 2017-05-10
BEIJING VENUS INFORMATION SECURITY TECH +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0005] In view of this, the present invention provides a big data query method and system to solve the problem in the prior art that querying and processing complete big data cannot quickly and accurately locate target data due to the large amount of data. The scheme is as follows:

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Embodiment Construction

[0052] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0053] The above description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the invention. Therefore, the present invention will not be limited to the embodiments shown herein...

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Abstract

The invention provides a large data query method, characterized by comprising: analyzing a dimension array in a query request when receiving the query request sent by a user via a Web page, wherein the dimension array contains at least one query dimension; acquiring the dimension classification of each query dimension in the dimension array when the dimension array satisfies the first preset condition; dividing the target large data into a plurality of data blocks based on the predetermined division rule according to the respective dimension classification; and respectively performing data query for each of the data blocks according to the respective query dimension, and aggregating the respective query results to obtain the target query data. In the invention, the dimension array in the query request is first analyzed, the dimension classification of the query dimension in the dimension array is obtained, the large data is divided according to the dimension classification, the block data is queried separately, and the query results are aggregated, so that fast and accurate positioning of the target data is achieved.

Description

technical field [0001] The invention relates to the field of data security analysis, in particular to a big data query method and system. Background technique [0002] With the rapid development of network technology, all kinds of IT resources are expanding rapidly, and network devices are emerging one after another, resulting in a large amount of network data information. How to quickly and accurately find the target data in a large amount of data, the big data query method is especially necessary. [0003] At present, the multi-condition combination and accumulation mode is generally used to query big data. When querying target data, multiple search conditions are input at the same time. Each initial query needs to be compared with the complete big data. [0004] After research, the inventor found that the existing data query method is to query and process complete big data, and the amount of data is too large, resulting in the speed of query slowing down with the increas...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30
CPCG06F16/9535
Inventor 樊宏杰韩三田赵俊峰
Owner BEIJING VENUS INFORMATION SECURITY TECH
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