MySQL database adopts a relational model. Data is stored in tables. Tables are composed of rows and columns, and relationships are established between tables through keys. The relational model supports multiple schemas and data types, provides advanced SQL functionality, and can be accessed through multiple programming languages. Compared to other models, the relational model provides data integrity, data organization, broad compatibility, and scalability.
MySQL database structural model
MySQL database adopts a relational database model.
Relational database model characteristics:
- Data is stored in tables, and each table contains information about a specific entity.
- The table consists of rows and columns, the rows represent individual records, and the columns represent the attributes of the records.
- Relationships are established between tables through primary keys and foreign keys, so that data can be organized and associated across tables.
- Use Data Manipulation Language (DML) and Data Query Language (DQL) to manipulate and retrieve data.
Features of the relational model in MySQL:
- Supports multiple schemas, each schema contains a set of related tables.
- Tables can define primary keys, constraints and indexes to ensure data integrity and performance.
- Supports different data types, including integers, strings, dates and times.
- Provides advanced SQL features such as joins, subqueries, and stored procedures.
- Accessible through multiple programming languages such as Python, Java, and PHP.
Comparison with other database models:
The relational database model is different from other database models, for example:
- NoSQL database: Non-relational database model, more suitable for processing unstructured or large amounts of data.
- Hierarchical database: A model that stores data in a tree structure, suitable for storing documents or XML data.
- Object-oriented database: Representing data as objects makes it easier to model complex objects.
Advantages:
Using the relational model provides the following advantages for the MySQL database:
- Data integrity : Constraints and primary keys ensure data accuracy and consistency.
- Data Organization: Tables and relationships make data organization and retrieval easy.
- Broad Compatibility: SQL is the universal language for relational databases and can be used with a variety of programming languages.
- Scalability: Schemas and tables can be adjusted as needed to meet changing business needs.
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