Types of Integrity Rules
- Entity Integrity: Also called business key integrity, this rule proclaims that each row in a table must contain some unique data, which is known as the business key. Through this verification, a primary key will be ensured of non-duplication, which also implies that no null values are allowed in the primary key column, thus uniquely identifying each instance of an entity in the table.
- Referential Integrity: Referential integrity guarantees the consistent pass of key reference constraints between data through main table and foreign keys. This rule means that for every foreign key value in a child table, that value has to possess the same primary key value in the parent table. This is the only way to maintain foreign keys and make father child relationships work properly.
- Domain Integrity: Verifying domain validity means finding out if the value lies within the allowed range for a particular attribute’s column in the data table. It implements data integrity by specifying data formats, ranges, and constraints, for example, check constraints and limitations, that ensure that all officially recognized data are kept.
- User-defined Integrity: This is an enterprise-specific set of integrity rules that would be established by different organizations depending on their business edges and the rules ascribed to sensitive data. These rules can be the user-defined ones like business rules or validation criteria or can even be the custom constraints that are different from organization to organization.
Integrity Rules in DBMS
In DBMS systems, integrity rules, which take a prime place, are designed to ensure that the quality of data is always high, with no inconsistencies or errors. The set of principles, also known as the integrity rules or constraints, helps to manage the data stored in the system in the right way and determine whether it’s suitable for certain purposes. It is not without reason that these rules are so crucial since they are key to the overall integrity of the database and its quality. Herein, we investigate the centrality of governance regulations, illustrate the different types that exist, and provide their implementation in DBMS.
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