Added
Create database: create database mpc [charset utf8]; (set database encoding)
Create data table: create table [if not exists] table name (field 1, field 2... [Index 1, Index 2..., Constraint 1, Constraint 2...]) [Table option 1, Table option 2...];
Field setting format:
Field name type [field attribute 1, field attribute 2...]
Type: int, tinyint, float, double, char, varchar, text, datetime, date, time, timestamp...
Field attributes:
auto_increment: Integer auto-increment (must be the primary key)
primary key: Set the primary key, and it is unique. Only one can be set in a table, it cannot be empty (null)
unique key: Set the unique key Index, multiple unique indexes can be set in a data table. Multiple values in this field can be empty (null)
not null: cannot be empty
default: set the default value
comment 'Field description Text': field description;
create table if not exists createtest( id int auto_increment primary key, name varchar(40) not null unique key, password varchar(40) not null, age tinyint default 18, email varchar(40) comment '电子邮件');
Index: perform some sorting in advance on all data in a table within the database;
Ordinary index: key (field name);
Unique index: unique key (field name);
Primary key index: primary key (field name);
Joint primary key: primary key (use commas for multiple field names) Separated);
Full text index: fulltext (field name);
Foreign key index: foreign key (field name) references table name (field name); (A field of one table is a field of another table (Must be the primary key), if the entered value is no longer in the field of the external table, it cannot be entered)
create table tab1_key( id int auto_increment, name varchar(20) not null, emai varchar(50) not null, age int not null default 18, grades1 int,primary key(id),unique key(name),foreign key(grades1) references tab2_key(grades2) );create table tab2_key( stu_id int not null, teacher varchar(20) not null,floor int not null, grades2 int auto_increment primary key);
Constraint: A regulation that requires the data to meet certain conditions
Unique constraint: unique key (field name);
Primary key constraint: primary key (field name);
Foreign key constraint: foreign key (field name) references table name (field name); (a table The field is a field in another table (must be the primary key). If the entered value is no longer in the field of the external table, it cannot be entered)
Non-null constraint: not null; when setting a field, it cannot be Empty value
Default constraint: default XX value, set the default value of a field to xx;
Check constraint: check (some kind of judgment statement)
create table tab_check( age tinyint, check (age>0 and age<100) );-- 但是mysql并不能生效,语法能够通过
Table options: When creating a table, overall settings for the table:
charset=Character encoding to be used;
engine=Storage engine to be used (also called table type); (The default is InnoDB )
A relational database table is a data structure used to store and organize information. A table can be understood as a table composed of rows and columns, similar to the form of an Excel spreadsheet. Some tables are simple, some are complex, some tables are not used to store any long-term data at all, and some tables are very fast to read, but very poor when inserting data; in the actual development process, we may need Various tables, different tables, mean that different types of data are stored, and there will be differences in data processing. For MySQL, it provides many types of storage engines. We can choose different storage engines according to our data processing needs, so as to maximize the use of MySQL's powerful functions. This blog post will summarize and analyze the characteristics of each engine and its applicable situations, and will not get entangled in deeper things. My learning method is to first learn to use it, know how to use it, and then find out how to use it. The following is a brief introduction to the storage engines supported by MySQL.
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Compared with other programming languages, MySQL is mainly used to store and manage data, while other languages such as Python, Java, and C are used for logical processing and application development. MySQL is known for its high performance, scalability and cross-platform support, suitable for data management needs, while other languages have advantages in their respective fields such as data analytics, enterprise applications, and system programming.

MySQL is worth learning because it is a powerful open source database management system suitable for data storage, management and analysis. 1) MySQL is a relational database that uses SQL to operate data and is suitable for structured data management. 2) The SQL language is the key to interacting with MySQL and supports CRUD operations. 3) The working principle of MySQL includes client/server architecture, storage engine and query optimizer. 4) Basic usage includes creating databases and tables, and advanced usage involves joining tables using JOIN. 5) Common errors include syntax errors and permission issues, and debugging skills include checking syntax and using EXPLAIN commands. 6) Performance optimization involves the use of indexes, optimization of SQL statements and regular maintenance of databases.

MySQL is suitable for beginners to learn database skills. 1. Install MySQL server and client tools. 2. Understand basic SQL queries, such as SELECT. 3. Master data operations: create tables, insert, update, and delete data. 4. Learn advanced skills: subquery and window functions. 5. Debugging and optimization: Check syntax, use indexes, avoid SELECT*, and use LIMIT.

MySQL efficiently manages structured data through table structure and SQL query, and implements inter-table relationships through foreign keys. 1. Define the data format and type when creating a table. 2. Use foreign keys to establish relationships between tables. 3. Improve performance through indexing and query optimization. 4. Regularly backup and monitor databases to ensure data security and performance optimization.

MySQL is an open source relational database management system that is widely used in Web development. Its key features include: 1. Supports multiple storage engines, such as InnoDB and MyISAM, suitable for different scenarios; 2. Provides master-slave replication functions to facilitate load balancing and data backup; 3. Improve query efficiency through query optimization and index use.

SQL is used to interact with MySQL database to realize data addition, deletion, modification, inspection and database design. 1) SQL performs data operations through SELECT, INSERT, UPDATE, DELETE statements; 2) Use CREATE, ALTER, DROP statements for database design and management; 3) Complex queries and data analysis are implemented through SQL to improve business decision-making efficiency.

The basic operations of MySQL include creating databases, tables, and using SQL to perform CRUD operations on data. 1. Create a database: CREATEDATABASEmy_first_db; 2. Create a table: CREATETABLEbooks(idINTAUTO_INCREMENTPRIMARYKEY, titleVARCHAR(100)NOTNULL, authorVARCHAR(100)NOTNULL, published_yearINT); 3. Insert data: INSERTINTObooks(title, author, published_year)VA


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