In recent years, the Go language (the specific construction method will not be introduced too much) has been more and more widely used in the Internet industry, and has gradually entered the development field of traditional enterprises. This article will introduce a salary query system based on Go language, which can effectively assist business managers in making detailed statistical analysis of employee salaries.
1. Demand analysis
- The access interface is friendly and supports employee salary information query
- Provides information query in multiple dimensions such as year, department, position, employee, etc.
- Real-time visualization of information query data, print-friendly
- The query system is safe, reliable, fast and easy to use
- It is convenient for managers to query and analyze employee salary status, and achieve comprehensive control of salary Situation
- Support efficient data import and employee information maintenance
2. Requirements analysis solution
1. Head navigation bar
The head navigation bar is the core area of the entire system and is also the entrance to all data queries and operations. The navigation bar should contain the following content:
- Homepage quick entry: The homepage contains information such as total wages, total number of employees, and supports notifications, announcements, etc.
- Data query: Provides annual Query in the dimensions of , department, position, employee, etc., supports single condition or multi-condition joint query;
- Data statistical analysis: conduct static and dynamic statistical analysis of the query data, salary differentiation analysis, etc.;
- Data import and export: Supports importing and exporting Excel tables to facilitate batch management of employee salary information;
- System settings: Sensitive system configuration options require logging in to the administrator user, including account information, Permission settings, data management options, etc.
2. Query function implementation
To support multi-dimensional salary query such as year, department, position, employee, etc., we can implement it through the following methods:
- Diverse and free combinations of SQL statements
- Gorm/SQLb and other support the use of ORM frameworks
- Provides data API in accordance with the RESTful interface specification, allowing front-end frameworks or other development languages to be used between different technology stacks Flexible combination within time
3. Real-time data visualization
Real-time data visualization is a very powerful way of presenting data, which can display data well and at the same time provide enterprises with more information. Provides convenience for managing employee salary data well. This visualization method can be achieved in the following ways:
- Use advanced data visualization components such as HighCharts
- Implement the data visualization display component by yourself
- Use the Third-party data statistical analysis and BI tools, including Tableau, BItool, etc.
4. Data query security, reliability and efficiency
In order to ensure the security and safety of enterprise employee salary data For reliability, we can adopt the following measures:
- The back-end salary query interface should avoid common attack methods such as SQL injection attacks;
- For different user levels such as employees and administrators , data query permissions should be customized according to different permissions to ensure data query security;
- Use efficient technologies such as data connection pools to improve data query speed.
3. Summary
The above is a simple analysis of a salary query system developed based on Golang. Of course, the overall functions still need to be adjusted and improved according to actual needs. But in any case, as developers, we should actively explore and try to use new technologies to improve the efficiency and quality of work, and at the same time truly provide enterprises with better management tools and contribute to the development and growth of enterprises.
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