Data integrity in a relational database refers to

d Data integrity in a relational database refers to the constraints that ensure that data is correct and consistent across the database. Data integrity is a very important part of database management system, because it can ensure the accuracy and reliability of data, avoid data damage and error. Here are some common data integrity constraints:

Entity integrity: Ensure that records in each table have a unique identifier, usually a primary key.

Referential integrity: Ensures the validity and correctness of reference values when referring to records in one table that exist in another table. This is usually done by defining a foreign key.

Domain integrity: Ensure that the data types and constraints in each field are correct. For example, a field might require data in date format, or only allow a range of values.

User-defined integrity: Ensures that any user-defined constraints are satisfied, such as checking a particular condition for a field.

These integrity constraints can be implemented by defining appropriate rules and constraints in the database design, and checking when inserting, updating, or deleting data to ensure that the data is always consistent and correct.

• Data integrity in a relational database refers to the correctness and consistency of the data in the database.
• D should be mistaken in validity

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data integrity in a relational database means that all data must meet certain integrity requirements. To ensure the correctness, independence, controllability, consistency, validity and compatibility of data. These integrity requirements are often referred to as entity integrity and referential integrity.

Entity integrity requires that the data cannot have null values, that is, null fields. This is because if the value of a field is empty, it is impossible to determine its meaning, which can result in an error or failure to perform the calculation. Therefore, when building a table, it is common to set the not null constraint on the field to ensure that the field cannot be empty.

referential integrity requires that when establishing a relationship between two tables, the values of referenced fields must be guaranteed; otherwise, reference conflicts may occur. Referential integrity is also divided into strong referential integrity and weak referential integrity. Strong referential integrity requires that the values of all referenced fields in the reference table must exist; Weak-referenced integrity allows partial reference fields to be null.

Therefore, data integrity in relational database is one of the important means to ensure the correctness, independence, controllability, consistency, validity and compatibility of data.
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