安装环境需求:
自从昨天安装了mysql 5.7,发现了一个问题,mysql5.6起,已经不支持2003系统了,如果安装了无法开启服务而且会出现在 本地计算机 无法启动 MySQL57 服务。错误 193: 0xc1,那就是版本不兼容,提示mysqld.exe不是正确的32位程序。
昨天整理的一篇mysql 5.7的安装教程大家可以参考一下:
http://www.bitsCN.com/article/82399.htm
路径问题就可以参考下面的文章了:
从2016年4月以后从官方下载的mysql 5.5,mysql5.6,mysql5.7,如果安装界面是这样的
那么就说明你的软件已经是官方网站新发布的安装包了,需要net framework 4.0及以上版本才可以安装。一般2003需要,2008都可以直接安装。
Microsoft .NET Framework 4.0 正式版 32位
http://www.bitsCN.com/softs/25944.html
Microsoft .NET Framework 4.0 正式版 64位
http://www.bitsCN.com/softs/69112.html
言归正传:
看了下面的两个图就知道了:
小编的解释:
1、选择安装的时候,只能通过自定义方式安装。
2、选择好需要安装的产品加到右侧(点击剪头)
3、鼠标切到右侧项目 点击 mysql server 5.* 以后,右边下角才会出现这个选项,点击advanced options 就可以选择自定义路径了。
真是越升级越难用了。原创文章转载请注明出处。
以上就是MySQL 5.5/5.6/5.7及以上版本安装包安装时如何选择安装路径_MySQL的内容,更多相关内容请关注PHP中文网(www.php.cn)!

MySQL is an open source relational database management system, mainly used to store and retrieve data quickly and reliably. Its working principle includes client requests, query resolution, execution of queries and return results. Examples of usage include creating tables, inserting and querying data, and advanced features such as JOIN operations. Common errors involve SQL syntax, data types, and permissions, and optimization suggestions include the use of indexes, optimized queries, and partitioning of tables.

MySQL is an open source relational database management system suitable for data storage, management, query and security. 1. It supports a variety of operating systems and is widely used in Web applications and other fields. 2. Through the client-server architecture and different storage engines, MySQL processes data efficiently. 3. Basic usage includes creating databases and tables, inserting, querying and updating data. 4. Advanced usage involves complex queries and stored procedures. 5. Common errors can be debugged through the EXPLAIN statement. 6. Performance optimization includes the rational use of indexes and optimized query statements.

MySQL is chosen for its performance, reliability, ease of use, and community support. 1.MySQL provides efficient data storage and retrieval functions, supporting multiple data types and advanced query operations. 2. Adopt client-server architecture and multiple storage engines to support transaction and query optimization. 3. Easy to use, supports a variety of operating systems and programming languages. 4. Have strong community support and provide rich resources and solutions.

InnoDB's lock mechanisms include shared locks, exclusive locks, intention locks, record locks, gap locks and next key locks. 1. Shared lock allows transactions to read data without preventing other transactions from reading. 2. Exclusive lock prevents other transactions from reading and modifying data. 3. Intention lock optimizes lock efficiency. 4. Record lock lock index record. 5. Gap lock locks index recording gap. 6. The next key lock is a combination of record lock and gap lock to ensure data consistency.

The main reasons for poor MySQL query performance include not using indexes, wrong execution plan selection by the query optimizer, unreasonable table design, excessive data volume and lock competition. 1. No index causes slow querying, and adding indexes can significantly improve performance. 2. Use the EXPLAIN command to analyze the query plan and find out the optimizer error. 3. Reconstructing the table structure and optimizing JOIN conditions can improve table design problems. 4. When the data volume is large, partitioning and table division strategies are adopted. 5. In a high concurrency environment, optimizing transactions and locking strategies can reduce lock competition.

In database optimization, indexing strategies should be selected according to query requirements: 1. When the query involves multiple columns and the order of conditions is fixed, use composite indexes; 2. When the query involves multiple columns but the order of conditions is not fixed, use multiple single-column indexes. Composite indexes are suitable for optimizing multi-column queries, while single-column indexes are suitable for single-column queries.

To optimize MySQL slow query, slowquerylog and performance_schema need to be used: 1. Enable slowquerylog and set thresholds to record slow query; 2. Use performance_schema to analyze query execution details, find out performance bottlenecks and optimize.

MySQL and SQL are essential skills for developers. 1.MySQL is an open source relational database management system, and SQL is the standard language used to manage and operate databases. 2.MySQL supports multiple storage engines through efficient data storage and retrieval functions, and SQL completes complex data operations through simple statements. 3. Examples of usage include basic queries and advanced queries, such as filtering and sorting by condition. 4. Common errors include syntax errors and performance issues, which can be optimized by checking SQL statements and using EXPLAIN commands. 5. Performance optimization techniques include using indexes, avoiding full table scanning, optimizing JOIN operations and improving code readability.


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