早打算写些关于数据库操作方面的知识了,现在终于完成了第一篇,以下记录了关于mysql操作方面的基础知识
在window下,启动、停止mysql服务启动mysql数据库
net start mysql
停止mysql数据库
net stop mysql
重新启动mysql数据库
net restart mysql
命令行形式,mysql基本命令的使用
1、命令的取消
\c
2、退出mysql窗口
exit;或quit;或ctrl+c
3、查看数据库版本号
select version();
4、显示当前存在的数据库
show databases;
5、选择test数据库
use test;
6、查看选择的数据库
select database();
7、设置数据库中文编码
set names utf8;
8、创建一个test数据库
create database test
9、创建一张mtest表
create table mtest(
id tinyint(2) unsigned not null auto_increment,
name varchar(20),
sex char(1),
email varchar(50),
birth datetime,
primary key (id)
);
10、向mtest表中插入一条数据
insert into mtest(`name`,`sex`,`email`,`birth`) values ('zhangsan','1','zhangsan@163.com',now());
11、查询mtest表中name为张三的信息
select * from mtest where name='zhangsan';
12、按照id号降序输出
select * from mtest order by id desc;
13、显示第11至20条数据信息
select * from mtest id limit 10,10;

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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