Table of Contents
Rule 0: Basic Principles
Rule 1: Information Rules
Rule 2: Guaranteed Access Rules
Rule 3: System processing of null values
Rule 4: Dynamic online directory based on relational model
Rule 5: Comprehensive Data Sublanguage Rules
Rule 6: View update rules
Rule 7: Relationship Operation Rules/Advanced Insert, Update and Delete Possibilities
Rule 8: Physical Data Independence
Rule 9: Logical Data Independence
Rule 10: Integrity and Independence
Rule 11: Distribution Independence
Rule 12: Non-Subversion Rules
in conclusion
Home Database Mysql Tutorial Codd's Database Management System Rules

Codd's Database Management System Rules

Aug 24, 2023 pm 04:09 PM

Codds Database Management System Rules

Edgar F. Codd, the pioneer of the relational model of databases, proposed a set of thirteen rules (numbered from zero to twelve) to determine the needs of a database management system What conditions must be met to be considered a relational database management system (RDBMS). They are also known as "Code's Twelve Commandments."

Rule 0: Basic Principles

Any system that claims to be a relational database management system must be able to manage the database using only its relational capabilities.

Rule 1: Information Rules

The information in every relational database provides a clear logical representation through values ​​in tables.

Rule 2: Guaranteed Access Rules

Ensure that every data (atomic value) in the relational database can be logically accessed by using a combination of table name, primary key value and column name.

Rule 3: System processing of null values

In a fully relational database management system, the use of null values ​​​​is supported to represent missing information and inapplicable information in a systematic way. Regardless of the data type, null values ​​​​are associated with null characters, white space characters, zero and any Other integers are different.

Rule 4: Dynamic online directory based on relational model

Authorized users can query database descriptions using the same relational language that they use to query regular data, because database descriptions are logically stored in the same way as regular data.

Rule 5: Comprehensive Data Sublanguage Rules

Multiple languages ​​and different terminal usage modes may be supported by the relational system (e.g., fill-in-the-blank mode). However, there must be at least one language that fully supports all of the above, and whose propositions can be expressed as strings of characters, following some well-defined syntax −

  • Data definition.

  • View definition.

  • Data manipulation (interactive and programmatic).

  • Integrity constraints.

  • Authorization.

  • Transaction boundaries (start, commit and rollback).

Rule 6: View update rules

The system can update all views that may be updated.

Rule 7: Relationship Operation Rules/Advanced Insert, Update and Delete Possibilities

The ability to handle base or derived relationships as a single operand, not only for data retrieval, but also for data insertion, update, and deletion.

Rule 8: Physical Data Independence

Any modifications to storage representation or access technology will not logically affect application or terminal operations.

Rule 9: Logical Data Independence

When any type of information-preserving changes are made to underlying tables, application and terminal operations remain logically unaffected.

Rule 10: Integrity and Independence

The relational data sublanguage, rather than the application, must be able to define and store integrity constraints specific to a relational database.

Rule 11: Distribution Independence

The distribution of data between different sites must be hidden from end users. Data should not give users the impression that it is spread across multiple sites.

Rule 12: Non-Subversion Rules

If a relational system has a low-level (record-by-record) language, the low-level language (multiple records) cannot be used to break or bypass the integrity restrictions and rules defined in the higher-level relational language.

in conclusion

According to Codd's database management system rules, no matter how the database is distributed in the network, it should work normally. End users should never know that data is spread across multiple sites; instead, they should always trust that data exists in only one location.

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