Summary of basic knowledge of oracle database
Apr 11, 2025 pm 06:33 PMOracle Database is a reliable, scalable and feature-rich relational database management system (RDBMS). Its architecture follows the client-server model, including server-side components (Oracle Net), instances, shared memory areas (SGAs), background processes, and database files that store data. Basic concepts include tables, rows, columns, primary keys, foreign keys, indexes and cursors. The database is known for its advantages such as high availability, big data support, rich features, strong security and ease of use.
Oracle Database Basics
What is an Oracle database?
Oracle Database is a relational database management system (RDBMS) that is widely used to store, manage and retrieve data. It is known for its reliability, scalability and feature richness.
Oracle Database Schema
Oracle databases follow a client-server architecture and include the following components:
- Oracle Net (server side): handles client connection requests and manages its communication with the database.
- Oracle instance: A process running on the server that handles database connections, data management, and other tasks.
- System Global Area (SGA): The shared memory area of ??the instance, storing database buffers, program codes, and control information.
- Background process: Perform background tasks such as logging, recovery, and memory management.
- Database file: A binary file that stores actual data.
Basic concepts of Oracle database
- Table: A collection of relevant data.
- Row: A record in the table.
- Column: Data fields in the table.
- Primary key: A value or set of values ??that uniquely identifies each row.
- Foreign key: The value pointing to another table primary key.
- Index: A hierarchical structure used to quickly find data.
- Cursor: Pointers used to traverse records in a table.
- Transaction: A set of database operations to ensure atomicity, consistency, isolation and durability.
Advantages of Oracle Database
- Reliability: High availability and data integrity.
- Scalability: Supports large-scale datasets and concurrent users.
- Feature Rich: Provides a wide range of data types, indexing techniques and analysis tools.
- Security: Powerful security features including user permission management and data encryption.
- Ease of use: Intuitive graphical user interface (GUI) and SQL programming language.
The above is the detailed content of Summary of basic knowledge of oracle database. For more information, please follow other related articles on the PHP Chinese website!

Hot AI Tools

Undress AI Tool
Undress images for free

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

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

Clothoff.io
AI clothes remover

Video Face Swap
Swap faces in any video effortlessly with our completely free AI face swap tool!

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)

To safely and thoroughly uninstall MySQL and clean all residual files, follow the following steps: 1. Stop MySQL service; 2. Uninstall MySQL packages; 3. Clean configuration files and data directories; 4. Verify that the uninstallation is thorough.

Oracle is not only a database company, but also a leader in cloud computing and ERP systems. 1. Oracle provides comprehensive solutions from database to cloud services and ERP systems. 2. OracleCloud challenges AWS and Azure, providing IaaS, PaaS and SaaS services. 3. Oracle's ERP systems such as E-BusinessSuite and FusionApplications help enterprises optimize operations.

MongoDB is suitable for unstructured data and high scalability requirements, while Oracle is suitable for scenarios that require strict data consistency. 1.MongoDB flexibly stores data in different structures, suitable for social media and the Internet of Things. 2. Oracle structured data model ensures data integrity and is suitable for financial transactions. 3.MongoDB scales horizontally through shards, and Oracle scales vertically through RAC. 4.MongoDB has low maintenance costs, while Oracle has high maintenance costs but is fully supported.

The main difference between MySQL and Oracle is licenses, features, and advantages. 1. License: MySQL provides a GPL license for free use, and Oracle adopts a proprietary license, which is expensive. 2. Function: MySQL has simple functions and is suitable for web applications and small and medium-sized enterprises. Oracle has powerful functions and is suitable for large-scale data and complex businesses. 3. Advantages: MySQL is open source free, suitable for startups, and Oracle is reliable in performance, suitable for large enterprises.

The difference between MySQL and Oracle in performance and scalability is: 1. MySQL performs better on small to medium-sized data sets, suitable for fast scaling and efficient reading and writing; 2. Oracle has more advantages in handling large data sets and complex queries, suitable for high availability and complex business logic. MySQL extends through master-slave replication and sharding technologies, while Oracle achieves high availability and scalability through RAC.

MySQL uses GPL and commercial licenses for small and open source projects; Oracle uses commercial licenses for enterprises that require high performance. MySQL's GPL license is free, and commercial licenses require payment; Oracle license fees are calculated based on processors or users, and the cost is relatively high.

In different application scenarios, choosing MongoDB or Oracle depends on specific needs: 1) If you need to process a large amount of unstructured data and do not have high requirements for data consistency, choose MongoDB; 2) If you need strict data consistency and complex queries, choose Oracle.

The key to learning Java without taking detours is: 1. Understand core concepts and grammar; 2. Practice more; 3. Understand memory management and garbage collection; 4. Join online communities; 5. Read other people’s code; 6. Understand common libraries and frameworks; 7. Learn to deal with common mistakes; 8. Make a learning plan and proceed step by step. These methods can help you master Java programming efficiently.
