


How do Catalogs, Schemas, Users, and Database Instances Relate in Different Database Vendors?
Understanding the Relationships between Catalogs, Schemas, Users, and Database Instances
Identifying database objects across different database vendors can be challenging due to varying terminology and object definitions. This article provides a comprehensive overview of these concepts in the context of Oracle, SQL Server, DB2, MySQL, and PostgreSQL.
Identifying Objects Uniquely
For Oracle, an object can be identified using the schema name and object name. In PostgreSQL, a database name is also required, while in MySQL, only the database name and object name suffice. SQL Server requires the database name, owner, and object name.
Abstraction of Data Storage
A catalog is an abstraction of data storage that organizes and manages the logical structure of a database. It typically provides metadata about the database's objects and their relationships.
Vendor-Specific Implementations
Oracle:
- Database = Catalog
- Schema = User Account
- User = Schema Owner
PostgreSQL:
- Database = Catalog
- Schema = Namespace within Database
- User = Account with Access to Databases
MySQL:
- Database = Schema = Catalog
- User = Account with Access to Databases
Microsoft SQL Server:
- Database = Namespace Qualifier
- Schema = Owner
- User = Account with Access to Databases
Conclusions
- Identifying database objects requires understanding the vendor-specific definitions of catalogs and schemas.
- A catalog is indeed an abstraction of data storage, although its meaning can vary across databases.
- While databases and schemas have common definitions, catalogs can have varying interpretations.
- Schemas are particularly useful for organizing database artifacts and managing access control.
The above is the detailed content of How do Catalogs, Schemas, Users, and Database Instances Relate in Different Database Vendors?. For more information, please follow other related articles on the PHP Chinese website!

Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

AI Hentai Generator
Generate AI Hentai for free.

Hot Article

Hot Tools

Notepad++7.3.1
Easy-to-use and free code editor

SublimeText3 Chinese version
Chinese version, very easy to use

Zend Studio 13.0.1
Powerful PHP integrated development environment

Dreamweaver CS6
Visual web development tools

SublimeText3 Mac version
God-level code editing software (SublimeText3)

Hot Topics



The article discusses using MySQL's ALTER TABLE statement to modify tables, including adding/dropping columns, renaming tables/columns, and changing column data types.

Article discusses configuring SSL/TLS encryption for MySQL, including certificate generation and verification. Main issue is using self-signed certificates' security implications.[Character count: 159]

Article discusses strategies for handling large datasets in MySQL, including partitioning, sharding, indexing, and query optimization.

Article discusses popular MySQL GUI tools like MySQL Workbench and phpMyAdmin, comparing their features and suitability for beginners and advanced users.[159 characters]

The article discusses dropping tables in MySQL using the DROP TABLE statement, emphasizing precautions and risks. It highlights that the action is irreversible without backups, detailing recovery methods and potential production environment hazards.

Article discusses using foreign keys to represent relationships in databases, focusing on best practices, data integrity, and common pitfalls to avoid.

The article discusses creating indexes on JSON columns in various databases like PostgreSQL, MySQL, and MongoDB to enhance query performance. It explains the syntax and benefits of indexing specific JSON paths, and lists supported database systems.

Article discusses securing MySQL against SQL injection and brute-force attacks using prepared statements, input validation, and strong password policies.(159 characters)
