数据库是Linux应用中的主要部分。Linux上的主要数据库包括:商业数据库: Oracle、Sybase、DB2、Informix;自由软件数据库: MySQL
数据库是Linux应用中的主要部分。Linux上的主要数据库包括:商业数据库: Oracle、Sybase、DB2、Informix;自由软件数据库: MySQL、PostgreSQL、Msql等。
商业数据库
由于商业数据库有很好的技术支持,这里只简单介绍一下。
(1) IBM DB2 ()
(2) Informix () Informix目前支持Linux是Informix SE,ESQL/C,Connect.
(3) Oracle () Oracle 目前支持Linux的是Oralce 8i 、9i。
(4) Sybase () Sybase 目前支持Linux的是Adaptive Server Enterprise 11.9.2 。
(5)Ingres () CA目前支持Linux的是 Ingres II数据库.
自由软件数据库
1、MySQL
MySQL是瑞典的T.c.X公司负责开发和维护的,它是一个真正的多用户、多线程SQL数据库服务器。MysQL是以一个客户机/服务器结构实现其功能的,它由一个服务器守护程序mysqld和很多不同的客户程序和库组成。SQL是一种标准化的语言,它使得存储、更新和存取信息更容易。MySQL主要特点是快速、健壮和易用。MySQL的官方发音是“My Ess Que Ell”(不是MY-SEQUEL)。目前MySQL的最新版本是4.04,MySQL的网址是:,MySQL的标志是一个小海豚。见图-1。
图-1
(1)MySQL的优点:
1. 它使用的核心线程是完全多线程,支持多处理器。
2.有多种列类型:1、2、3、4、和8字节长度自有符号/无符号整数、FLOAT、DOUBLE、CHAR、VARCHAR、TEXT、BLOB、DATE、TIME、DATETIME、 TIMESTAMP、YEAR、和ENUM类型。
3.它通过一个高度优化的类库实现SQL函数库并像他们能达到的一样快速,通常在查询初始化后不该有任何内存分配。没有内存漏洞。
4. 全面支持SQL的GROUP BY和ORDER BY子句,支持聚合函数(COUNT()、COUNT(DISTINCT)、AVG()、STD()、SUM()、MAX()和MIN())。你可以在同一查询中混来自不同数据库的表。
5. 支持ANSI SQL的LEFT 0UTER JOIN和ODBC。
6.所有列都有缺省值。你可以用INSERT插入一个表列的子集,那些没用明确给定值的列设置为他们的决省值。
7. MySQL可以工作在不同的平台上。支持C、C++、Java、Perl、PHP、Python和TCL API。
(2) MySQL的缺点:
1、 MySQL最大的缺点是其安全系统,主要是复杂而非标准,另外只有到调用mysqladmin来重读用户权限时才发生改变。
2、 MySQL的另一个主要的缺陷之一是缺乏标准的RI(Referential Integrity-RI)机制;Rl限制的缺乏(在给定字段域上的一种固定的范围限制)可以通过大量的数据类型来补偿。
3、 MySQL没有一种存储过程(Stored Procedure)语言,,这是对习惯于企业级数据库的程序员的最大限制。
4、 MySQL不支持热备份。
5、 MySQL的价格随平台和安装方式变化。Linux的MySQL如果由用户自己或系统管理员而不是第三方安装则是免费的,第三方案则必须付许可费。Unix或Linux 自行安装 免费 、Unix或Linux 第三方安装 200美元,
需要一个应用组件 200美元 。

ACID attributes include atomicity, consistency, isolation and durability, and are the cornerstone of database design. 1. Atomicity ensures that the transaction is either completely successful or completely failed. 2. Consistency ensures that the database remains consistent before and after a transaction. 3. Isolation ensures that transactions do not interfere with each other. 4. Persistence ensures that data is permanently saved after transaction submission.

MySQL is not only a database management system (DBMS) but also closely related to programming languages. 1) As a DBMS, MySQL is used to store, organize and retrieve data, and optimizing indexes can improve query performance. 2) Combining SQL with programming languages, embedded in Python, using ORM tools such as SQLAlchemy can simplify operations. 3) Performance optimization includes indexing, querying, caching, library and table division and transaction management.

MySQL uses SQL commands to manage data. 1. Basic commands include SELECT, INSERT, UPDATE and DELETE. 2. Advanced usage involves JOIN, subquery and aggregate functions. 3. Common errors include syntax, logic and performance issues. 4. Optimization tips include using indexes, avoiding SELECT* and using LIMIT.

MySQL is an efficient relational database management system suitable for storing and managing data. Its advantages include high-performance queries, flexible transaction processing and rich data types. In practical applications, MySQL is often used in e-commerce platforms, social networks and content management systems, but attention should be paid to performance optimization, data security and scalability.

The relationship between SQL and MySQL is the relationship between standard languages and specific implementations. 1.SQL is a standard language used to manage and operate relational databases, allowing data addition, deletion, modification and query. 2.MySQL is a specific database management system that uses SQL as its operating language and provides efficient data storage and management.

InnoDB uses redologs and undologs to ensure data consistency and reliability. 1.redologs record data page modification to ensure crash recovery and transaction persistence. 2.undologs records the original data value and supports transaction rollback and MVCC.

Key metrics for EXPLAIN commands include type, key, rows, and Extra. 1) The type reflects the access type of the query. The higher the value, the higher the efficiency, such as const is better than ALL. 2) The key displays the index used, and NULL indicates no index. 3) rows estimates the number of scanned rows, affecting query performance. 4) Extra provides additional information, such as Usingfilesort prompts that it needs to be optimized.

Usingtemporary indicates that the need to create temporary tables in MySQL queries, which are commonly found in ORDERBY using DISTINCT, GROUPBY, or non-indexed columns. You can avoid the occurrence of indexes and rewrite queries and improve query performance. Specifically, when Usingtemporary appears in EXPLAIN output, it means that MySQL needs to create temporary tables to handle queries. This usually occurs when: 1) deduplication or grouping when using DISTINCT or GROUPBY; 2) sort when ORDERBY contains non-index columns; 3) use complex subquery or join operations. Optimization methods include: 1) ORDERBY and GROUPB


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