Oracle数据库主要有数据文件database和数据库实例instance组成。用户通过用户进程链接到server process。在数据库启动的时候,需
从《Oracle服务器体系结构概述》找了一张介绍Oracle体系结构图,用于总体的描述Oracle的体系结构
Oracle服务器体系结构概述
1 Oracle数据库主要有数据文件database和数据库实例instance组成。用户通过用户进程链接到server process。在数据库启动的时候,需要依赖于参数文件parameter file,,如果我们的数据库是归档模式的话,Oracle数据库会把 redo log files 写入到 archived log files,避免redo log files 被覆盖
2 instance 介绍
数据库启动的时候,会读取参数文件spfile,并且根据参数文件分配一个System globle area(SGA),每个Oracle数据会话连接都共享的内存,对于SGA又可以分为shared pool的共享池,存放一些数据字典缓存和通用的函数库。对于SGA中,比较重要的有 database buffer cache,redo log buffer, java pool, large pool等
对于PGA和SGA的分配:PGA:每当有一个tcp连接Oracle的话就会产生一个session会话,分配一个PGA。对于SGA:是所有会话session共享的内存,当Oracle数据库启动就会初始化分配一个共享内存区域,启动以后这个SGA的大小不会改变
2 database数据库文件: data files,control files,Redo Log files。对于数据文件data files 主要是用于存放业务数据的文件,对于control files 存放的是控制文件,Redo log files存放的是对数据库操作的记录,如果数据库发生异常关闭,则启动的时候会读取Redo log files对数据库进行修复
3 Oracle数据库的database和instance之间是通过一系列的后台进行进行通信。不同的操作有不同的后台进程进行处理
Oracle体系结构系列相关文章:
Oracle体系结构之SCN、实例恢复
Oracle体系结构之检查点
Oracle体系结构之SQL语句的执行过程
本文永久更新链接地址:

InnoDBBufferPool reduces disk I/O by caching data and indexing pages, improving database performance. Its working principle includes: 1. Data reading: Read data from BufferPool; 2. Data writing: After modifying the data, write to BufferPool and refresh it to disk regularly; 3. Cache management: Use the LRU algorithm to manage cache pages; 4. Reading mechanism: Load adjacent data pages in advance. By sizing the BufferPool and using multiple instances, database performance can be optimized.

Compared with other programming languages, MySQL is mainly used to store and manage data, while other languages such as Python, Java, and C are used for logical processing and application development. MySQL is known for its high performance, scalability and cross-platform support, suitable for data management needs, while other languages have advantages in their respective fields such as data analytics, enterprise applications, and system programming.

MySQL is worth learning because it is a powerful open source database management system suitable for data storage, management and analysis. 1) MySQL is a relational database that uses SQL to operate data and is suitable for structured data management. 2) The SQL language is the key to interacting with MySQL and supports CRUD operations. 3) The working principle of MySQL includes client/server architecture, storage engine and query optimizer. 4) Basic usage includes creating databases and tables, and advanced usage involves joining tables using JOIN. 5) Common errors include syntax errors and permission issues, and debugging skills include checking syntax and using EXPLAIN commands. 6) Performance optimization involves the use of indexes, optimization of SQL statements and regular maintenance of databases.

MySQL is suitable for beginners to learn database skills. 1. Install MySQL server and client tools. 2. Understand basic SQL queries, such as SELECT. 3. Master data operations: create tables, insert, update, and delete data. 4. Learn advanced skills: subquery and window functions. 5. Debugging and optimization: Check syntax, use indexes, avoid SELECT*, and use LIMIT.

MySQL efficiently manages structured data through table structure and SQL query, and implements inter-table relationships through foreign keys. 1. Define the data format and type when creating a table. 2. Use foreign keys to establish relationships between tables. 3. Improve performance through indexing and query optimization. 4. Regularly backup and monitor databases to ensure data security and performance optimization.

MySQL is an open source relational database management system that is widely used in Web development. Its key features include: 1. Supports multiple storage engines, such as InnoDB and MyISAM, suitable for different scenarios; 2. Provides master-slave replication functions to facilitate load balancing and data backup; 3. Improve query efficiency through query optimization and index use.

SQL is used to interact with MySQL database to realize data addition, deletion, modification, inspection and database design. 1) SQL performs data operations through SELECT, INSERT, UPDATE, DELETE statements; 2) Use CREATE, ALTER, DROP statements for database design and management; 3) Complex queries and data analysis are implemented through SQL to improve business decision-making efficiency.

The basic operations of MySQL include creating databases, tables, and using SQL to perform CRUD operations on data. 1. Create a database: CREATEDATABASEmy_first_db; 2. Create a table: CREATETABLEbooks(idINTAUTO_INCREMENTPRIMARYKEY, titleVARCHAR(100)NOTNULL, authorVARCHAR(100)NOTNULL, published_yearINT); 3. Insert data: INSERTINTObooks(title, author, published_year)VA


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