Massive data query and secondary processing method based on Web architecture

A secondary processing and mass data technology, applied in the field of database data query and retrieval, can solve problems such as increased pressure on the source database, poor customer operation experience, slow query performance, etc., to reduce resource occupation, increase page operation experience, and improve The effect of fluency and reaction speed

Active Publication Date: 2014-08-20
CHANGSHA ZTESOFT COMPANY
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] 1. The page needs to wait for the background query to complete, which often causes problems such as black screens due to slow query performance, resulting in poor user experience;
[0005] 2. All browser-based subsequent business operations need to query the original data source such as database or file again. If the source database is very large, the pressure on the source database will continue to increase with the increase of foreground actions , posing serious challenges to business costs and user experience

Method used

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  • Massive data query and secondary processing method based on Web architecture
  • Massive data query and secondary processing method based on Web architecture

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Embodiment Construction

[0036] The present invention will be further described below through specific embodiments in conjunction with the accompanying drawings. Apparently, the described embodiments are only some of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts fall within the protection scope of the present invention.

[0037] like figure 2 As shown, assuming that there is a large amount of data in an information command monitoring system (more than 5 billion single-day inventory data), the number of monthly inventory records that a single system user needs to query is about 8,000. The business process for users to query the inventory includes the following steps:

[0038] (1) The browser receives the business query conditions and submits a query request to the Web server;

[0039] (2) The web server detects whether the same busines...

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Abstract

The invention discloses a massive data query and secondary processing method based on Web architecture. According to the method, a data caching intermediate server is introduced into the whole service processing process to serve as an intermediate cache after data are queried out from a database and before the data are displayed in the foreground, and meanwhile a service logic processing platform for processing the queried data for the second time and a complete data caching mechanism are provided. With the method, the problems of page turning and first and last data display based on a same result data set are solved through one time of query, pressure of repeated query on the database under the same conditions is practically reduced on a massive data query scene, secondary processing based on massive data query results is achieved, query efficiency is improved, and the problem between the data size, the operating fluency and the cost is well solved.

Description

technical field [0001] The invention relates to the field of database data query and retrieval, in particular to a method for massive data query and secondary processing based on the Web architecture. Background technique [0002] With the continuous development of the information age, the amount of data that needs to be displayed on the web-based browser is increasing. From 10 or 100 records a few years ago to 1,000 or even tens of thousands of records now The user performs a unified display. At the same time, due to the improvement of customer experience requirements, more and more user experiences require users to be able to process data twice on the browser side to display the data they want to see, such as: filter specific data, select specific data , Sort the data according to one or more fields, and perform operations such as summing, averaging, maximum and minimum values ​​on fields of certain data attributes according to the selected fields. Typical business usage...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30G06F9/50
CPCG06F16/9535
Inventor 赵子绪
Owner CHANGSHA ZTESOFT COMPANY
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