这几天,实在是太忙了;由于12号省领导要来检查,于是项目组为了赶进度,真的是忙的一团糟。每天晚上9点30下班,中午不休息。挤出点时间学学习变成了一种奢侈。
这几天,实在是太忙了;由于12号省领导要来检查,于是项目组为了赶进度,真的是忙的一团糟。每天晚上9点30下班,中午不休息。挤出点时间学学习变成了一种奢侈。这几天,我对oracle的架构有了一点点的心得,就写点东西出来。
oracle的优秀性最早体现在跨平台的支持性。这是oracle早期能够催营拔寨的关键。谈谈跨平台,香港虚拟主机,oracle只是一个运行在操作系统上的软件,那么oracle是怎么做到兼容如此之多的操作系统平台的呢?oracle开发的架构很值得研究,这个就是内模式,模式,外模式的架构。这个架构可以保证数据库对操作系统提供驱动接口,对用户透明,保证了oracle的核心架构是统一的。在后期,甲骨文厂商收购了java,java也是一种兼容性非常好的语言。oracle收购java,更保证了其后续产品的兼容性和稳定性。使得其核心工程师可以只专注于内模式的开发,从而从繁琐的其他边缘问题中解脱出来,达到了统筹资源,协调发展。
oracle的存储,体现在对逻辑,物理结构的分开上。oracle存储物理结构上有各种文件,如数据文件,日志文件,这些只是借用操作系统对硬盘区域进行管理的方式。当然核心还是在逻辑结构上,即在内部oracle是如何存储数据的,如何保证数据在遭到破坏时能有效地恢复的。这里,oracle的逻辑结构包括目录(directory),表空间(tablespace),数据段(segment),区间(extend),数据块(block),网站空间,这些逻辑结构保证了数据的有效存储,从而节省存储资源。
oracle的性能,体现在对计算机硬件平台的使用上。这里,就得说oracle的设计实在是太棒了,共享一个监听服务,每个数据库一个实例,保证了各个实例之间的性能分配。对内存的分配使用了SGA,PGA的架构,这样就保证了能大大降低了磁盘IO,降低对计算机总线的占用。在内部实现一些复杂的算法进而监视硬件平台和操作系统的情况,进行对操作系统平台的管理。oracle做到这一些,几乎是虚拟出了另一个操作系统出来,在这个操作系统上,oracle将数据处理做的淋漓尽致。的确,一般的操作系统会在意对进程调度,内存管理,美国服务器,磁盘管理,总线管理,硬件驱动。。。而oracle只需要管理数据。也就是说,在oracle会根据最合适的保存,保护,利用数据的方法使用一系列的方式对数据进行管理。
oracle还要更多优秀神奇的能量,随着我日益研究的深入,相信对oracle驾轻就熟就在不远的未来。加油。
本文出自 “坚持奋进着” 博客,请务必保留此出处

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


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

MantisBT
Mantis is an easy-to-deploy web-based defect tracking tool designed to aid in product defect tracking. It requires PHP, MySQL and a web server. Check out our demo and hosting services.

SublimeText3 Linux new version
SublimeText3 Linux latest version

SublimeText3 Chinese version
Chinese version, very easy to use

Atom editor mac version download
The most popular open source editor

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