Oracle的Linux策略,平台用的是完完全全拷贝rhel(他们vp说出了logo和brand之外,everything),只是加了Oracle Linux管理包和Or
参加了Oracle的开源技术日,实际上对Oracle db和开源都没什么接触,一直都是ms产品和cisco的拥趸,不过免费的学习机会,了解一些,拓宽一下知识面也是不错的。
Oracle的Linux策略,平台用的是完完全全拷贝rhel(他们vp说出了logo和brand之外,everything),只是加了Oracle Linux管理包和Oracle群集件这两个软件包,还有就是号称比rh的最高级support服务还要好的三级服务体系,所以Oracle还敢把这种抄袭出来的Linux叫做ubl(unbreakable Linux,“Oracle坚不可摧的Linux”)。怪不得网上有好事者专门制作了ufl(unfakeable Linux),呵呵
Oracle的虚拟化战略,产品名称叫Oracle VM server,改自XEN的产品(开源就是好啊,要啥拿过来用就是了,不像ms的东西,别说拿过来当商业化产品开发,就是盗版来使用,都能给你黑屏喽),是paravirtualization(准虚拟化),,也就是它的host os需要专门为虚拟化进行改造,对应的是full virtualization,产品是vmware workstation,详细的虚拟化技术类别见另外一篇blog。Oracle自己开发了Oracle VM manager(有虚机的lifecycle manager功能),用户通过VM manager进行访问和管理虚机,是web console的。然后在网上提供几个预打包、预配置的module供用户下载之后来直接在ovm上使用。没用过xen,不知道哪些是Oracle自己的东西,从讲座上知道的有这些东西:服务器池(server pool,开源软件的福气,不像vmware ms这种企业级产品都要钱),module、image(硬机转成image,然后导入ovm成为虚机使用)、iso安装、网络安装四种方式生成ovm内的虚机,master、utility、vm server三种服务器硬件角色组成Oracle 虚拟化平台,master为一台硬件服务器,管理所有虚机并负责各个虚机的ha(high availability)和dr(disaster recovery),utility也是一台硬件服务器,做的是creating, removing, migrating, and so on of I/O intensive operations,vm server可以有若干个,上面跑无限个虚机,vm server负责监控这些虚机的性能和操作。master down掉了,有utinity接管,utility再down掉了,整个ovm平台也就跨掉了,无论vm server还是不是好的。

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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