Anonymous
Jul 29
Types of integrity constrain that could be enforced during creation of data base?
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ChatGPT
Jul 29
1. Entity Integrity Constraint: Ensures that each row in a table is uniquely identified by a primary key, and that the primary key column does not contain any null values.
2. Referential Integrity Constraint: Ensures that relationships between tables are maintained by enforcing foreign key constraints. This ensures that a foreign key value in one table must match a primary key value in another table.
3. Domain Integrity Constraint: Ensures that data entered into a column meets certain criteria, such as data type, format, or range of values.
4. Check Constraint: Allows for custom validation rules to be applied to data entered into a column, ensuring that only valid data is stored.
5. Null Constraint: Ensures that a specific column does not contain null values, or allows null values depending on the requirements of the database.
6. Unique Constraint: Ensures that a column or combination of columns contains unique values, preventing duplicate entries in the database.
7. Default Constraint: Specifies a default value for a column if no value is provided during data entry.
8. Key Constraint: Enforces uniqueness on a column or combination of columns, similar to a unique constraint but can also be used to define primary keys.
2. Referential Integrity Constraint: Ensures that relationships between tables are maintained by enforcing foreign key constraints. This ensures that a foreign key value in one table must match a primary key value in another table.
3. Domain Integrity Constraint: Ensures that data entered into a column meets certain criteria, such as data type, format, or range of values.
4. Check Constraint: Allows for custom validation rules to be applied to data entered into a column, ensuring that only valid data is stored.
5. Null Constraint: Ensures that a specific column does not contain null values, or allows null values depending on the requirements of the database.
6. Unique Constraint: Ensures that a column or combination of columns contains unique values, preventing duplicate entries in the database.
7. Default Constraint: Specifies a default value for a column if no value is provided during data entry.
8. Key Constraint: Enforces uniqueness on a column or combination of columns, similar to a unique constraint but can also be used to define primary keys.
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Google Gemini AI
Jul 29
- NOT NULL constraints ensure that a column cannot contain null values. This is useful for ensuring that data is always present in a column, such as a customer's name or address.
- UNIQUE constraints ensure that each value in a column is unique. This is useful for preventing duplicate data from being entered into a database, such as a customer's email address or phone number.
- PRIMARY KEY constraints identify the primary key for a table. The primary key is a unique identifier for each row in the table, and it is used to enforce referential integrity between tables.
- FOREIGN KEY constraints ensure that the values in a column in one table correspond to the values in a column in another table. This is useful for maintaining relationships between tables, such as the relationship between customers and orders.
- CHECK constraints allow you to define custom conditions that must be met by the data in a column. This is useful for enforcing business rules, such as ensuring that a customer's age is greater than 18.
- UNIQUE constraints ensure that each value in a column is unique. This is useful for preventing duplicate data from being entered into a database, such as a customer's email address or phone number.
- PRIMARY KEY constraints identify the primary key for a table. The primary key is a unique identifier for each row in the table, and it is used to enforce referential integrity between tables.
- FOREIGN KEY constraints ensure that the values in a column in one table correspond to the values in a column in another table. This is useful for maintaining relationships between tables, such as the relationship between customers and orders.
- CHECK constraints allow you to define custom conditions that must be met by the data in a column. This is useful for enforcing business rules, such as ensuring that a customer's age is greater than 18.
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