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Response method for distributed big data classification retrieval webpage

A big data and distributed technology, applied in the field of Web access, can solve the problems of not using distributed classification retrieval, not being able to handle dynamic page retrieval of distributed data storage, occupying server processing time and storage space, etc., to reduce the burden and speed up Speed, the effect of improving the response speed

Inactive Publication Date: 2014-10-01
UESTC COMSYS INFORMATION
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] First, the dynamic page cache based on the server does not take advantage of the characteristics of distributed classification retrieval, read data for distributed caching
[0006] Second, generally only static pages can be partially cached, and distributed data storage and dynamic page retrieval cannot be handled.
[0007] Third, based on a server, the page is cached on the server side, and all pages that may be accessed are cached, which takes up a lot of processing time and storage space of the server

Method used

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  • Response method for distributed big data classification retrieval webpage
  • Response method for distributed big data classification retrieval webpage
  • Response method for distributed big data classification retrieval webpage

Examples

Experimental program
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specific Embodiment

[0042] figure 1 Describes how to use cached data and page cache to obtain the process of sorting and retrieving pages requested by users. The specific implementation is as follows:

[0043] Step 101: The user requests pages of a certain category index.

[0044] Step 102: Calculate the hash value according to the keyword of the classification requested by the user, and find the server to which the classification belongs.

[0045] Step 103: After receiving the request, the server judges whether there is a cache of the classification retrieval condition. If the cache exists, the cache is directly returned as a result, and the request ends; if not, step 104 is performed.

[0046] Xml can be cached in memory or on disk. It depends on the number of xml files generated in a certain time. If the number of files is not large, you can directly cache the files in the memory, which can improve the reading and writing speed and respond to user requests faster; if the number of files is ...

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Abstract

The invention discloses a response method for a distributed big data classification retrieval webpage, which belongs to the technical field of Web access. The response method comprises the following steps of: S1: starting a distributed server, classifying pages by keywords according to Hash Code, and caching the data retrieved from a database in each server; S2: when a user request arrives at, checking the retrieval conditions thereof, and selecting the matched server by the keywords of the user request according to Hash Code; S3: refreshing data in a memory, and cancelling the previously-cached pages. The response method disclosed by the invention has the beneficial effects that the response speed of the big data classification retrieval webpage can be effectively increased, the pressure of the database can be alleviated, and the burdens of the servers can be reduced.

Description

technical field [0001] The invention belongs to the technical field of Web access, and in particular relates to a response method for distributed big data classified retrieval of web pages. Background technique [0002] With the vigorous development of cloud technology and the Internet, people are more and more willing to use the Internet to handle daily affairs, and the data information in all aspects of social life is becoming more and more concentrated. At the same time, the amount of data is also increasing. Therefore, many systems and platforms will Faced with massive data. This puts forward higher requirements for Web applications. In most web applications, a large amount of data needs to be stored in a distributed manner, so as to improve the speed of data retrieval, quickly respond to user needs, and bring users a better experience. [0003] However, if these big data are processed simply in a distributed manner, the retrieval accuracy rate will decrease due to the...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30
CPCG06F16/951G06F16/2228G06F16/2471
Inventor 唐雪飞张小盼楚龙辉王淋铱
Owner UESTC COMSYS INFORMATION
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