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Search method based on big data

A big data and index data technology, applied in the field of big data processing, can solve problems such as performance bottlenecks, slow retrieval speed, poor concurrency, etc., achieve storage optimization, retrieval process optimization, and overcome performance bottlenecks

Inactive Publication Date: 2015-12-02
SICHUAN ZHONGKE TENGXIN TECH
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the retrieval speed of the current B / S architecture retrieval system is slow, the concurrency is poor, and when the image data and index files experience rapid and explosive growth, it will cause performance bottlenecks

Method used

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  • Search method based on big data

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Embodiment Construction

[0016] The following and accompanying appendices illustrating the principles of the invention Figure 1 A detailed description of one or more embodiments of the invention is provided together. The invention is described in connection with such embodiments, but the invention is not limited to any embodiment. The scope of the invention is limited only by the claims and the invention encompasses numerous alternatives, modifications and equivalents. In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present invention. These details are provided for the purpose of example and the invention may be practiced according to the claims without some or all of these specific details.

[0017] One aspect of the present invention provides a retrieval method based on big data, which realizes distributed storage and accurate and fast retrieval of massive image big data. figure 1 It is a flowchart of a retrieval method ba...

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Abstract

The invention provides a search method based on big data. The method comprises steps as follows: index data of images are stored by the aid of distributed files, all the index data are written into index data files, and then the index data files are distributed and stored in various nodes of a distributed file system; the index data are searched through a MapReduce parallel programming model, a search space is divided into multiple subspaces, then parallel searches are performed on the subspaces through task scheduling, and finally, a final search result is formed through summarizing. With the adoption of the search method based on the big data, processes for storing and searching the data of the images by the aid of the distributed system are optimized, the search efficiency is improved, and the performance bottleneck is overcome.

Description

technical field [0001] The invention relates to big data processing, in particular to a retrieval method based on big data. Background technique [0002] With the vigorous development of the Internet and multimedia technology, image retrieval has gradually become an important way for users to obtain information. Image capacity is generally larger. A large number of image files will be generated in applications in many fields. With the popularization of high-definition, the amount of image data will inevitably increase. Efficient storage and fast and accurate retrieval of massive image data generated in these applications are required. However, the retrieval system of the current B / S architecture has slow retrieval speed and poor concurrency, and will cause performance bottlenecks when image data and index files experience rapid and explosive growth. Contents of the invention [0003] In order to solve the problems in the above-mentioned prior art, the present invention ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30
CPCG06F16/134G06F16/148G06F16/182
Inventor 郭亮惠孛
Owner SICHUAN ZHONGKE TENGXIN TECH
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