来源:http://www.mrven.com/?p=283 MySQL Workbench 是一款专为MySQL设计的ER/数据库建模工具。它是著名的数据库设计工具DBDesigner4的继任者。你可以用MySQL Workbench设计和创建新的数据库图示,建立数据库文档,以及进行复杂的MySQL 迁移。 主要功能 MyS
来源:http://www.mrven.com/?p=283
MySQL Workbench 是一款专为MySQL设计的ER/数据库建模工具。它是著名的数据库设计工具DBDesigner4 的继任者。你可以用MySQL Workbench设计和创建新的数据库图示,建立数据库文档,以及进行复杂的MySQL 迁移。
主要功能
MySQL Workbench的主要功能包括:
- 基于Cairo 的图形渲染,可以将内容输出到OpenGL、Win32、X11、Quartz、PostScript、PDF等多种目标上
- 可视化的表、视图、存储进程/函数和外键
- 实现数据库到SQL脚本的逆向工程
- 数据库/模型的同步
- 导出SQL创建的脚本
- 导入DBDesigner4的模型
- 支持MySQL5的特性
- 可选的图示记号
软件截图
跨平台
MySQL Workbench目前只推出了Windows版,不过未来将推出Linux和OS X版。目前,除了一个已经GA的 Windows版外,Linux版也已经进入了Alpha阶段。
作为DBDesigner4计划的继任者,MySQL Workbench 5.0版本侧重于基本功能的实现。MySQL Workbench 5.0正式发布后,开发组仍然会在bug修复、渲染效率优化、数据库文档模板和插件、模型摘要的在线存储方面进行加强。而在未来的MySQL Workbench 5.1版本中将加入对Linux和OS X平台的支持,并强化数据库查询功能,将 MySQL Workbench打造成功能完善的SQL IDE。
版本区别
MySQL Workbench有两个版本:MySQL Workbench Community Edition(又叫MySQL Workbench OSS,社区版)和MySQL Workbench Standard Edition(又叫MySQL Workbench SE,商业版)。MySQL Workbench OSS是在GPL证书下发布的开源社区版本,而MySQL Workbench SE则是按年收费的商业版本。其功能方面的差异见下表(不得不说,数据库/模型同步这一重要的功能竟然只在收费的MySQL Workbench SE中可用,而在DBDesigner4中这却是基本功能,这种“继任”方式实在让人恶心。):
MySQL Workbench 5.0 下载
要下载MySQL Workbench OSS版,可以到MySQL的官方下载点下载:http://dev.mysql.com/downloads/workbench/5.0.html
我从eMule上找到了MySQL Workbench SE版,有需要的朋友可以到这里下载:MySQL Workbench SE 下载
下载
http://drop.io/j3vtnu5/asset/mysql-workbench-se-5-0-22-win32

Stored procedures are precompiled SQL statements in MySQL for improving performance and simplifying complex operations. 1. Improve performance: After the first compilation, subsequent calls do not need to be recompiled. 2. Improve security: Restrict data table access through permission control. 3. Simplify complex operations: combine multiple SQL statements to simplify application layer logic.

The working principle of MySQL query cache is to store the results of SELECT query, and when the same query is executed again, the cached results are directly returned. 1) Query cache improves database reading performance and finds cached results through hash values. 2) Simple configuration, set query_cache_type and query_cache_size in MySQL configuration file. 3) Use the SQL_NO_CACHE keyword to disable the cache of specific queries. 4) In high-frequency update environments, query cache may cause performance bottlenecks and needs to be optimized for use through monitoring and adjustment of parameters.

The reasons why MySQL is widely used in various projects include: 1. High performance and scalability, supporting multiple storage engines; 2. Easy to use and maintain, simple configuration and rich tools; 3. Rich ecosystem, attracting a large number of community and third-party tool support; 4. Cross-platform support, suitable for multiple operating systems.

The steps for upgrading MySQL database include: 1. Backup the database, 2. Stop the current MySQL service, 3. Install the new version of MySQL, 4. Start the new version of MySQL service, 5. Recover the database. Compatibility issues are required during the upgrade process, and advanced tools such as PerconaToolkit can be used for testing and optimization.

MySQL backup policies include logical backup, physical backup, incremental backup, replication-based backup, and cloud backup. 1. Logical backup uses mysqldump to export database structure and data, which is suitable for small databases and version migrations. 2. Physical backups are fast and comprehensive by copying data files, but require database consistency. 3. Incremental backup uses binary logging to record changes, which is suitable for large databases. 4. Replication-based backup reduces the impact on the production system by backing up from the server. 5. Cloud backups such as AmazonRDS provide automation solutions, but costs and control need to be considered. When selecting a policy, database size, downtime tolerance, recovery time, and recovery point goals should be considered.

MySQLclusteringenhancesdatabaserobustnessandscalabilitybydistributingdataacrossmultiplenodes.ItusestheNDBenginefordatareplicationandfaulttolerance,ensuringhighavailability.Setupinvolvesconfiguringmanagement,data,andSQLnodes,withcarefulmonitoringandpe

Optimizing database schema design in MySQL can improve performance through the following steps: 1. Index optimization: Create indexes on common query columns, balancing the overhead of query and inserting updates. 2. Table structure optimization: Reduce data redundancy through normalization or anti-normalization and improve access efficiency. 3. Data type selection: Use appropriate data types, such as INT instead of VARCHAR, to reduce storage space. 4. Partitioning and sub-table: For large data volumes, use partitioning and sub-table to disperse data to improve query and maintenance efficiency.

TooptimizeMySQLperformance,followthesesteps:1)Implementproperindexingtospeedupqueries,2)UseEXPLAINtoanalyzeandoptimizequeryperformance,3)Adjustserverconfigurationsettingslikeinnodb_buffer_pool_sizeandmax_connections,4)Usepartitioningforlargetablestoi


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