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Big data content high-frequency access-oriented ultra-lightweight architecture method

An ultra-lightweight, big data technology, applied in database update, electronic digital data processing, structured data retrieval, etc., can solve the problems of restricting the speed of industrial development, lengthy development cycle, too heavyweight, etc., to improve development efficiency, The effect of lowering the skill threshold and reducing the coupling of modules

Pending Publication Date: 2018-05-01
江苏翼企云通信科技有限公司
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AI Technical Summary

Problems solved by technology

All major platforms are making efforts in the big data industry. Technologies such as Hadoop and MapReduce are too heavyweight in specific scenarios. The complexity of configuration and implementation limits the speed of industrial development. In practice, the development cycle is long and the cost is heavy.

Method used

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  • Big data content high-frequency access-oriented ultra-lightweight architecture method
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  • Big data content high-frequency access-oriented ultra-lightweight architecture method

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Embodiment Construction

[0028] The present invention will be further described in detail below in conjunction with specific embodiments.

[0029] Such as Figure 1 to Figure 3 An ultra-lightweight architecture method for high-frequency access to big data content is shown, including the following steps:

[0030] a. The direct result of the user's access is obtained from the platform memory, there is only one step, and there is no need to interact with the database; all user access will get the result in memory based on the access strategy, and the access strategy uses the hash mode of the result;

[0031] b. Collect a large amount of data from the database for logic operations, and directly feed back the original data to other distributed systems or the direct operation results of this machine to the user; the logic operation module can obtain the results through the external distributed computing system. Store calculation results in the access policy area when necessary;

[0032] c. The performance...

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Abstract

The invention discloses a big data content high-frequency access-oriented ultra-lightweight architecture method. The method comprises the following steps of: a, obtaining an access result of a user from a platform memory; b, acquiring mass data from a database to carry out logic operation; c, loading the data in the step B from the database; and d, writing the data back to the database, carrying out linkage calculation on the data according to design from step c to step b to step a, and storing the data to a memory area where an access strategy is located. The big data content high-frequency access-oriented ultra-lightweight architecture method is applied to platforms (not limited to WEB) to realize high concurrency; other strategies are not needed so that the response speed is greatly improved; the skill threshold of developers is reduced, and operations for the database can be reflected to the memory through simple configuration; the development efficiency is improved, and the development workload in the aspects of the database and the memory is decreased to the task amount of the database; and through optimization, the coupling performance of developing related modules is greatly reduced.

Description

technical field [0001] The invention relates to the technical field of cloud security products / services, in particular to an ultra-lightweight architecture method for high-frequency access to large data content. Background technique [0002] With the development in recent years, various mobile apps and platforms have emerged, and the number of users and the amount of data generated have shown explosive growth. All major platforms are making efforts in the big data industry. Technologies such as Hadoop and MapReduce are too heavyweight in specific scenarios. The complexity of configuration and implementation limits the speed of industrial development. In practice, the development cycle is long and the cost is heavy. This design method only needs simple configuration, that is, it can achieve high concurrency and high availability efficiency improvement in WEB applications for large-volume data content calculation and access. Contents of the invention [0003] The technical ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30
CPCG06F16/23G06F16/2471
Inventor 叶俊王秋月许玲玲
Owner 江苏翼企云通信科技有限公司
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