Graphical data query processing method based on cloud server

Abstract

The invention discloses a cloud server based graphic data query processing method. The method comprises the steps of establishing a cloud data processing interface; establishing a plurality of form controls, forming form pages, generating a data sheet by each form page, and generating a field of the data sheet by each control in the page; meanwhile, recording form page information and field information in a dictionary table, and recording a relationship between the data sheets according to attributes and parameters of the form controls; storing the information to a cloud server; and opening an intelligent cloud data processing interface, selecting, inquiring and processing form data as required, and performing combination display on form content meeting query conditions. According to the cloud server based graphic data query processing method disclosed by the invention, data is obtained by a fully graphic operation instead of an SQL code writing technology, multi-table data is intelligently correlated with processing data in a manner of having a correlation relationship, and the data can be subjected to multi-condition screening. The fully graphic operation is based on a cloud computation service and can be performed anytime and anywhere.

Description

technical field [0001] The present invention relates to the technical field of complete graphical query processing of data, in particular to a graphical data query processing method based entirely on a cloud server for setting up an environment, and in particular to a method for automatically associating multi-table data based on set form data and completely graphical dynamic screening of data . Background technique [0002] With the rapid development of science and technology, data is the carrier of information, and individuals and organizations are increasingly dependent on data. Many people and organizations suffer from not being able to write SQL codes or have no technical personnel, and spend a lot of time learning to write SQL. Technicians can start writing code only after the service environment has been set up. The writing process is very complicated. Every time data is obtained, the code must be written once, which is inefficient and error-prone. Contents of the ...

AI Technical Summary

Problems solved by technology

Many people and organizations suffer from not being able to write SQL codes or have no technical personnel, and spend a lot of time learning to write SQL

Technicians can start writing code only after setting up the service environment. The writing process is very complicated. Every time data is obtained, the code must be written once, which is inefficient and error-prone

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