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基本知识
1.mysql的编译安装
2.mysql 第3方存储引擎安装配置方法
3.mysql 主流存储引擎(MyISAM/innodb/MEMORY)的特点
4.字符串编码知识
5.MySQL用户账户管理
6.数据备份/数据入导出
7.mysql 支持的基本数据类型
8.库/表/字段/索引 的创建/修改/删除
9.基本sql 语法:select/insert/update/delete,掌握最基本的语法即可,什么inner join,left join的了解就行 mysql的应用场景大多都是高并发访问/业务逻辑简单,join/子查询/视图/触发器 基本上不用
10.sql 聚集查询:group by/having
11.如何用explain 分析优化查询
12.常见 sql 优化技巧
a).select xx from yyy limited ...,
b).order by random
c).select count(*) from
13.各种show xxx 指令,大概有20种,每个都尝试用一次
14.show VARIABLES; 大概有240项,逐条看懂,可以打印出来贴墙上
高级操作
1.Mysql 主从同步配置
2.Mysql 双master 配置
3.Mysql 双master+丛库+keepalived 配置高可用数据库
客户端
作为DBA,一定不要用各种GUI工具,mysql自带命令行client才是你的最佳武器
可选项
1.mysql 分区配置,因为限制太多,实际中分表都是程序做
2.高性能 mysql
a).drizzle
b).MariaDB
c).handlersocket,吹牛逼用,实际工作也很难用上,因为性能从来都不是问题,凡是采用各种“ 奇巧淫技”的项目,必然是天坑,人民群众喜闻乐用的产品都是老老实实采用最简单朴素技术实现
ok,耐着性子20天学完,你就能胜任主流互联网公司Mysql DBA工作
吐个槽,我招募过很多DBA,mysql DBA的工作知识就这么些,其他DBA也差不多,看一遍操作一遍你就学会了,基本上不用智商。所谓亿万用户海量计算,哪只是一种经历,你在现场你就会有。DBA只是一个"看门狗"的角色:有事能打电话找到人,出了事故有人可以被罚款,没事就一边凉快去。
互联网让获取知识的成本越来越低,数据库越来越像一个普通软件,你见过浏览器,office需要专人操作么?
所以,DBA不是一个可以承载梦想的职业,年轻人如果想在技术领域有发展,想要“改变世界”,老老实实写代码当程序员去吧
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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

MySQL/InnoDB supports four transaction isolation levels: ReadUncommitted, ReadCommitted, RepeatableRead and Serializable. 1.ReadUncommitted allows reading of uncommitted data, which may cause dirty reading. 2. ReadCommitted avoids dirty reading, but non-repeatable reading may occur. 3.RepeatableRead is the default level, avoiding dirty reading and non-repeatable reading, but phantom reading may occur. 4. Serializable avoids all concurrency problems but reduces concurrency. Choosing the appropriate isolation level requires balancing data consistency and performance requirements.

MySQL is suitable for web applications and content management systems and is popular for its open source, high performance and ease of use. 1) Compared with PostgreSQL, MySQL performs better in simple queries and high concurrent read operations. 2) Compared with Oracle, MySQL is more popular among small and medium-sized enterprises because of its open source and low cost. 3) Compared with Microsoft SQL Server, MySQL is more suitable for cross-platform applications. 4) Unlike MongoDB, MySQL is more suitable for structured data and transaction processing.

MySQL index cardinality has a significant impact on query performance: 1. High cardinality index can more effectively narrow the data range and improve query efficiency; 2. Low cardinality index may lead to full table scanning and reduce query performance; 3. In joint index, high cardinality sequences should be placed in front to optimize query.

The MySQL learning path includes basic knowledge, core concepts, usage examples, and optimization techniques. 1) Understand basic concepts such as tables, rows, columns, and SQL queries. 2) Learn the definition, working principles and advantages of MySQL. 3) Master basic CRUD operations and advanced usage, such as indexes and stored procedures. 4) Familiar with common error debugging and performance optimization suggestions, such as rational use of indexes and optimization queries. Through these steps, you will have a full grasp of the use and optimization of MySQL.

MySQL's real-world applications include basic database design and complex query optimization. 1) Basic usage: used to store and manage user data, such as inserting, querying, updating and deleting user information. 2) Advanced usage: Handle complex business logic, such as order and inventory management of e-commerce platforms. 3) Performance optimization: Improve performance by rationally using indexes, partition tables and query caches.


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