A cross-platform real-time processing method of big data based on thrift

Abstract

The invention discloses a big data cross-platform real-time processing method based on thrift. An SSL authentication module, an authorization authentication module, a real-time data query module, a historic data query module and an instruction issuing instruction are provided; the big data cross-platform real-time processing method based on the thrift comprises the following specific steps: firstly, performing data access according to the SSL authentication module by a user; if the SLL authorization is passed, performing the authentication of the authorization authentication module, judging whether the user has an operation permission of the vehicle information; secondarily, if the authorization authentication is passed, performing the operations of real-time data, historic data or instruction issuing; otherwise, notifying that the user does not have the access permission; finally, returning a corresponding result of a request to the user, and recording an operation log of each step. The disadvantages of the traditional solution scheme are solved by use of the processing method disclosed by the invention, and the operation is more flexible and practical.

Description

technical field [0001] The invention relates to a thrift-based cross-platform real-time processing method for large data, belonging to the technical field of data processing. Background technique [0002] With the rapid development of the automobile industry and the substantial increase in the number of vehicles, how to obtain more vehicle information and realize remote control of vehicles has become the primary issue for organizations in all links of the vehicle life cycle. The traditional vehicle management system can provide the vehicle information required by users. However, due to the different focus of users at all levels, there is a huge difference in the degree of attention to various data of the vehicle. The required data will bring inconvenience to users, and due to the data storage mechanism of traditional vehicle management systems, the amount of data is getting larger and larger, and it is even more difficult to read real-time vehicle information and analyze his...

AI Technical Summary

Problems solved by technology

This method can solve traditional data processing and data storage problems, but when there are massive data to be processed, there will be bottlenecks in computer performance and data storage, which can only be solved by improving server configuration and purchasing expensive hardware facilities. It is urgent, but it can only solve the problem temporarily, and cannot solve the problem fundamentally; moreover, when the programming language of the front-end application changes, the application code must be rewritten, the workload of the developer will increase, and the user experience will not be good.

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