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Big data processing method and device based on Websocket, electronic equipment and storage medium

A big data processing and storage medium technology, applied in the direction of electronic digital data processing, special data processing applications, digital data protection, etc., can solve the problem of easy monitoring or stealing of important business data, slow data warehouse query, slow query and display and other issues, to achieve the effect of safe and controllable data transmission process, perfect intelligent reminder and help, and reduce training and learning costs

Inactive Publication Date: 2019-06-07
CTRIP TRAVEL NETWORK TECH SHANGHAI0
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] (1) There are many platforms, and generally only adapt to a certain platform, and cannot adapt to multiple platforms
[0008] (2) Query and display are slow. Data warehouse queries such as Hadoop are very slow, and product data queries such as OLAP are relatively fast, but rendering after obtaining data also takes a long time
[0009] (3) The ease of use is poor. Many systems only focus on usability rather than ease of use. They are not good enough in the human-computer interaction of large data volume query, and cannot see the real-time query progress.
[0010] (4) The security is low. Usually, the front and back of the query directly use plaintext data transmission, which is easy to be monitored or steal important business data

Method used

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  • Big data processing method and device based on Websocket, electronic equipment and storage medium
  • Big data processing method and device based on Websocket, electronic equipment and storage medium
  • Big data processing method and device based on Websocket, electronic equipment and storage medium

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Embodiment Construction

[0046] Example embodiments will now be described more fully with reference to the accompanying drawings. Example embodiments may, however, be embodied in many forms and should not be construed as limited to the examples set forth herein; rather, these embodiments are provided so that this disclosure will be thorough and complete and will fully convey the concept of example embodiments to those skilled in the art. The described features, structures, or characteristics may be combined in any suitable manner in one or more embodiments.

[0047] Furthermore, the drawings are merely schematic illustrations of the present disclosure and are not necessarily drawn to scale. The same reference numerals in the drawings denote the same or similar parts, and thus repeated descriptions thereof will be omitted. Some of the block diagrams shown in the drawings are functional entities, which do not necessarily correspond to physically or logically separate entities. These functional entiti...

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Abstract

The invention provides a big data processing method and device based on Websocket, electronic equipment and a storage medium, and the method comprises the steps: determining an access mode in a plurality of self-provided access modes according to an accessed big data platform, so as to access the big data platform; receiving a query instruction to query data from the accessed big data platform according to the query instruction; encrypting the queried data, and sending the encrypted data to a front-end browser through a Websocket protocol; and performing blocking and / or paging processing according to the data size of the encrypted query data. According to the big data processing method and device based on Websocket provided by the invention, rapid query and display of big data are realized.

Description

technical field [0001] The present invention relates to the technical field of computer applications, in particular to a Websocket-based big data processing method, device, electronic equipment, and storage medium. Background technique [0002] In traditional data query, if the amount of data is small, it is relatively difficult for front-end technicians to process it. If the amount of data is large, technologies such as paging and lazy loading can be used to realize it. However, when it comes to processing at the big data level, file download Although other methods can solve some problems, this method cannot quickly query the data in real time, especially when the specific data composition is not known, so the query and front-end display of large data volumes are very necessary. [0003] With the rapid development of big data technology, from Hadoop (a distributed system infrastructure) to OLAP (Online Analytical Processing, Online Analytical Processing) online analysis pro...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/2453G06F16/2455G06F16/248G06F21/60
Inventor 张翔
Owner CTRIP TRAVEL NETWORK TECH SHANGHAI0
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