⑴ lower_case_table_names ● 推荐理由 GNU/Linux 平台,对数据库、表、存储过程等对象名称大小写敏感 为减少开发人员的开发成本
⑴ lower_case_table_names
● 推荐理由
GNU/Linux 平台,对数据库、表、存储过程等对象名称大小写敏感
为减少开发人员的开发成本,为此推荐大家设置该参数使对象名称都自动转换成小写
● 参数介绍
取值范围:
为0:区分大小写、Linux 平台默认值
为1:不区分大小写
Linux安装的MySQL的配置文件中(/etc/my.cnf)、是没有lower_case_table_names=1这行的
在Windows安装的MySQL的配置文件中(my.ini)、是有lower_case_table_names=1这行的
所以、特别提醒下、在 Replication 配置下、Master和Slave中该参数应当保持一致!!
⑵ max_connect_errors
● 推荐理由
一台物理服务器只要连接 MySQL 数据库服务器 异常中断累计超过10次,就再也无法连接上mysqld服务
为此建议大家设置此值至少大于等于10
处理方案有 2 :
要么重启mysqld、要么 mysqladmin flush-hosts
● 参数介绍
不过、该参数和安全相关、
某些黑客或许会尝试失败来暴力破解密码、该值如若设置过大会留下可趁之际
⑶ interactive_timeout和wait_timeout
● 推荐理由
如果你的MySQL Server有大量的闲置连接,他们不仅会白白消耗内存,而且如果连接一直在累加
那么、最终肯定会达到MySQL Server的连接上限数,这会报'too many connections'的错误
推荐值:
inactive_timeout=172800
wait_timeout=172800
● 参数介绍
interactive_timeout
参数含义:服务器关闭交互式连接所等待的秒数
wait_timeout
参数含义:服务器关闭非交互式连接所等待的秒数
⑷ transaction-isolation和binlog-format
推荐配置
▼只读为主的业务应用场景
transaction-isolation=read-commited
binlog-format=mixed
▼非只读为主的业务应用场景
transaction-isolation=repeatabled-read
binlog-format=mixed
⑸ innodb_adaptive_hash_index
● 推荐理由
InnoDB引擎会根据数据的访问频繁度,把表的数据逐渐缓到内存,若是一张表的数据大量缓存在内存中
则使用 HASH Index 会更高效
InnoDB内有Hash Index机制,监控数据的访 问情况,可以自动创建和维护一个Hash Index

The main role of MySQL in web applications is to store and manage data. 1.MySQL efficiently processes user information, product catalogs, transaction records and other data. 2. Through SQL query, developers can extract information from the database to generate dynamic content. 3.MySQL works based on the client-server model to ensure acceptable query speed.

The steps to build a MySQL database include: 1. Create a database and table, 2. Insert data, and 3. Conduct queries. First, use the CREATEDATABASE and CREATETABLE statements to create the database and table, then use the INSERTINTO statement to insert the data, and finally use the SELECT statement to query the data.

MySQL is suitable for beginners because it is easy to use and powerful. 1.MySQL is a relational database, and uses SQL for CRUD operations. 2. It is simple to install and requires the root user password to be configured. 3. Use INSERT, UPDATE, DELETE, and SELECT to perform data operations. 4. ORDERBY, WHERE and JOIN can be used for complex queries. 5. Debugging requires checking the syntax and use EXPLAIN to analyze the query. 6. Optimization suggestions include using indexes, choosing the right data type and good programming habits.

MySQL is suitable for beginners because: 1) easy to install and configure, 2) rich learning resources, 3) intuitive SQL syntax, 4) powerful tool support. Nevertheless, beginners need to overcome challenges such as database design, query optimization, security management, and data backup.

Yes,SQLisaprogramminglanguagespecializedfordatamanagement.1)It'sdeclarative,focusingonwhattoachieveratherthanhow.2)SQLisessentialforquerying,inserting,updating,anddeletingdatainrelationaldatabases.3)Whileuser-friendly,itrequiresoptimizationtoavoidper

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.


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