MySQL is a relational database, its data structure includes: Table: logical data collection, composed of rows and columns Row: specific data sample, called record Column: Data attribute, called field data type: A wide selection for storing different data types Primary keys: Columns that uniquely identify each row Foreign keys: Relational columns that join tables Indexes: Special structures for quickly finding data
MySQL’s data structure
MySQL is a relational database management system (RDBMS) that uses tables, rows, and columns to store and organize data.
Table
- Table is a collection of logical data, stored on the hard disk.
- Table consists of rows and columns.
- Each table has a unique name.
Rows
- Rows represent examples of specific data.
- Each row contains the value of a specific column.
- Rows are also called records.
Columns
- Columns define specific properties of the data in the table.
- Each column has a unique name and data type.
- Columns are also called fields.
Data type
MySQL supports various data types for storing different types of data, for example:
- Numeric type (INT , FLOAT, DECIMAL)
- String type (CHAR, VARCHAR, TEXT)
- Date and time type (DATE, TIME, DATETIME)
- Binary data type (BLOB, MEDIUMBLOB, LONGBLOB)
Primary key and foreign key
- Primary key: The column that uniquely identifies each row in each table or column combination.
- Foreign key: A column that relates rows in one table to rows in another table.
Index
- Index is a special structure of columns in a table that is used to quickly find data.
- Indexes speed up searches of data, especially when the table is large.
Relationships
Relationships between tables can be defined through foreign keys. Types of relationships include:
- One-to-many: One row of one table is associated with multiple rows of another table.
- Many-to-many: Multiple rows of one table are related to multiple rows of another table.
Advantages
The advantages of MySQL data structures include:
- Flexible and extensible:can be created and modified tables to meet changing data needs.
- Efficient storage: Use compact row format and index to optimize storage space.
- Quick Access: By using primary keys and indexes, data can be retrieved quickly.
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