Constraints put conditions at table level. There are 5 database constraints:
1. unique
2. not null
3. primary key
4. foreign key
5. check
An in-memory database. The database contains tables and constraints, and data.
so it role is basically to manage the database
In database management system (DBMS), intension refers to the structure or schema of the database. It defines the overall design and organization of the database, including tables, columns, data types, constraints, and relationships. It serves as a blueprint for creating and managing the database.
Constraints are used to enforce rules and limitations on the data that can be stored in a database table. They help ensure data integrity by preventing invalid or inconsistent data from being added to the database. Common types of constraints include primary key, foreign key, unique, and check constraints.
Logical Structure of database is know as database schema. All database entities are defined and relation between then is represented in structured way. It includes all constraints to be apply on each identity.
it describes the instance of one entity is associated with each instances of an entity depending upon the range of cardinality constraints are two types they are minimum cardinality maximum cardinality
Constraints are sort of restrictions, which restrict the data that can be stored in a relation (Table). or Constraints are mostly a collection of indexes and triggers that restrict certain actions on a table. There are four types of constraints: Primary Key ConstraintsUnique ConstraintsCheck ConstraintsForeign Key (FK) Constraints. - chandrabhan
Database properties are also known as database attributes or characteristics. These properties describe the features and characteristics of the database, such as data types, constraints, relationships, and indexing among others. They are essential for defining the structure and behavior of a database system.
Data consistency constraints are rules that define the allowable values and relationships within a database to ensure that the data remains accurate and reliable. These constraints help maintain the quality and integrity of the data by preventing conflicting or incorrect information from being stored. Examples include primary key constraints, foreign key constraints, and unique constraints.
Integrity problems in a database management system (DBMS) refer to issues such as data inconsistencies, duplicates, or inaccurate information that may arise due to violations of data integrity constraints. These constraints ensure the accuracy and validity of data stored in the database by enforcing rules such as unique values, referential integrity, and domain constraints. Failure to maintain data integrity can lead to errors, data corruption, and compromised reliability of the information stored in the database.
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The logical constists of the name of the table, the attributes it contains, their types, the constraints on the attributes, if any.