MySQL 8 database installation
1、 Install in Windows Environment
A、Download MySQL
Select Operating System:
Microsoft Windows
Quick download:mysql-8.0.22-winx64.zip
B. Extract and configure MySQL environment variables
MYSQL_HOME:
C:\MySQL\mysql-8.0.22-winx64
C. Create in the unzipped root directorymy.ini
configuration file
[mysqld]
#Set 3306 port
port = 3306
#Set MySQL installation directory
basedir=C:/MySQL/mysql-8.0.22-winx64
#Set the storage directory of MySQL database data
datadir=C:/MySQL/mysql-8.0.22-winx64\data
#Maximum connections allowed
max_connections=200
#Number of connection failures allowed. This is to prevent someone from trying to attack the database system from the host
max_connect_errors=10
#The character set used by the server is utf8 by default
character-set-server=utf8mb4
#The default storage engine that will be used when creating new tables
default-storage-engine=INNODB
#The "mysql_native_password" plug-in authentication is used by default
default_authentication_plugin=mysql_native_password
[mysql]
#Set the default character set of MySQL client
default-character-set=utf8mb4
[client]
#Set the default port used by MySQL client when connecting to the server
port=3306
#Set the default character set used when connecting the MySQL client to the server
default-character-set=utf8mb4
D. Install MySQL (the following operations must be administrator)
- Initialize MySQL
mysqld --defaults-file=C:\MySQL\mysql-8.0.22-winx64\my.ini --initialize --console
be careful: copy and save MySQL initialization passwordfVdpg:bM9pAk
- Install MySQL service
mysqld --install mysql8
- Start MySQL service
net start mysql8
E. Login and password modification
- Log in to MySQL
MySQL - U account - P password
Solutions that cannot log in using the above method
1. Stop mysql8
net stop mysql8
2. Start without password
mysqld --console --skip-grant-tables --shared-memory
3. The front window cannot be closed. Open a new window to log in without password
mysql -u root -p
4. Clear password
update mysql.user set authentication_string='' where user='root' and host='localhost;'
5. Refresh permissions
plush privileges;
6. Restart the MySQL service and log in to MySQL without password
- After logging in, use Mysql to change the password
ALTER USER [email protected] IDENTIFIED BY '123456';
- Turn on remote access
CREATE USER 'root' @'%' IDENTIFIED BY '123456'; -- It doesn't matter if this step fails
GRANT ALL ON *.* TO 'root' @'%';
# alter user 'root'@'%' identified with mysql_native_password by '123456';
FLUSH privileges;
2、 Installation in Linux Environment
A、Download MySQL
Select Operating System:
Source Code
Select OS Version:
Generic Linux (Architecture Independent)
Quick download:mysql-8.0.22.tar.gz
B. Upload the downloaded MySQL compressed package to the Linux server
C. Decompressmysql-8.0.22.tar.gz
tar -zxvf mysql-8.0.22.tar.gz
D. Move the extracted files to the / usr / local directory
mv mysql-8.0.22 /usr/local/mysql
E. Add a MySQL composite user (it will be added by default, and it will be added manually if it is not added)
groupadd mysql
useradd -r -g mysql mysql
F. Enter/usr/local/mysql
Directory, modify related permissions
cd /usr/local/mysql
chown -R mysql:mysql ./
G. MySQL initialization operation, record temporary password
cd /usr/local/mysql/bin
./mysqld --initialize --user=mysql --basedir=/usr/local/mysql --datadir=/usr/local/mysql/data
be careful: copy and save MySQL initialization passwordfVdpg:bM9pAk
H. Create MySQL profile/etc/my.cnf
cd /etc
vi my.cnf
my.cnf
[mysqld]
port = 3306
basedir=/usr/local/mysql
datadir=/usr/local/mysql/data
max_connections=200
max_connect_errors=10
character-set-server=utf8mb4
default-storage-engine=INNODB
default_authentication_plugin=mysql_native_password
[mysql]
default-character-set=utf8mb4
[client]
port=3306
default-character-set=utf8mb4
1. Start MySQL service
cd /usr/local/mysql/support-files
./mysql.server start
J. Log in to MySQL with a temporary password and change the password
cd /usr/local/mysql/bin
. / MySQL - U temporary password generated by root - P
ALTER USER 'root' @'localhost' IDENTIFIED BY '123456';
K. Turn on remote access
CREATE USER 'root' @'%' IDENTIFIED BY '123456'; -- It doesn't matter if this step fails
GRANT ALL ON *.* TO 'root' @'%';
FLUSH privileges;
Mysql database operation
Database operation
Create database
CREATE DATABASE db_name DEFAULT CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci;
query data base
--Query all databases
SHOW DATABASES;
--SQL script for querying database tables
SHOW CREATE DATABASE db_name;
Delete database
DROP DATABASE db_name;
modify the database
--Modify the character encoding and sorting method of the database
ALTER DATABASE db_name DEFAULT CHARACTER SET utf8 COLLATE utf8_general_ci;
Select database
USE db_name;
Sets the encoding format for the operation
SET NAMES utf8;
Table operation
Create table
CREATE TABLE tb_ Name (field, type, length, constraint, default, comment for creating table)
constraint
- Non empty
NOT NULL
- Nonnegative
UNSIGNED
- Primary key
PRIMARY KEY
- Self increasing
AUTO_INCREMENT
- default
DEFAULT
- notes
COMMENT
--Delete database if it exists
DROP DATABASE IF EXISTS testdb;
--Create database operation
CREATE DATABASE IF NOT EXISTS testdb;
--Use database
USE testdb;
--Delete data table if it exists
DROP TABLE IF EXISTS testdb;
--Create table operation
CREATE TABLE IF NOT EXISTS tb_test
(
test_id INTEGER ( 10 ),
test_name VARCHAR ( 50 )
);
--Use database
USE testdb;
--Delete data table if it exists
DROP TABLE IF EXISTS testdb;
--Create table operation
CREATE TABLE IF NOT EXISTS tb_test
(
test_ id INTEGER (10) AUTO_ Increment primary key comment 'test ID',
test_ Name varchar (50) not null comment 'test name',
test_ Password varchar (20) not null default '123456' comment 'test password'
);
Common types
- Minimal shaping
TIYINT
1 byte, unsigned, maximum 256 (2 ^ 8 – 1), plus or minus – 128 ~ 127 (- 2 ^ 7 – 1 ~ 2 ^ 7 – 1) - Small plastic
SMALLINT
2 bytes, unsigned, maximum 65535 (2 ^ 16 – 1), plus or minus – 32768 ~ 32767 (- 2 ^ 15 – 1 ~ 2 ^ 15 – 1) - Medium plastic
MEDIUMINT
3 bytes, unsigned, maximum 16777215 (2 ^ 24 – 1), plus or minus (- 2 ^ 23-1 ~ 2 ^ 23-1) - plastic
INT
4 bytes, unsigned, max. 2 ^ 32 – 1, plus or minus (- 2 ^ 31-1 ~ 2 ^ 31-1) - Long shaping
BIGINT
8 bytes, unsigned, max. 2 ^ 64 – 1, plus or minus (- 2 ^ 63-1 ~ 2 ^ 63-1) - Single precision
FLOAT
4 bytes float [(m, d)] – 3.4e + 38 ~ 3.4e + 38 (about) - Double precision
DOUBLE
8 bytes double [(m, d)] – 1.79e + 308 ~ 1.79e + 308 (about) - Small value
DECIMAL
M>D ? M+2 : D+2
Bytes decimal [(m, d)] Note: m is length and D is decimal - Fixed length string
CHAR
The maximum storage is 255 bytes. If the value does not reach the given length, use spaces to supplement - Variable length string
VARCHAR
The maximum storage length is 255 bytes. How long does it take - Minimal text
TINYTEXT
Maximum length 255 bytes (2 ^ 8-1) - Chinese text
MEDIUMTEXT
Maximum length 16777215 bytes (2 ^ 24-1) - text
TEXT
Maximum length 65535 bytes (2 ^ 16-1) - Long text
LONGTEXT
Maximum length 4294967295 bytes (2 ^ 32-1) - date
DATE
Date (yyyy MM DD) - time
TIME
Time (HH: mm: SS) - Date time
DATETIME
Date and time combination (yyyy MM DD HH: mm: SS) - time stamp
TIMESTAMP
yyyymmddhhmmss - particular year
YEAR
Year YYYY
--Create table operation
CREATE TABLE IF NOT EXISTS tb_user
(
user_ id int(11) AUTO_ Increment primary key comment 'user ID',
user_ Name varchar (30) not null comment 'user name',
user_ Birthday date comment 'user's birthday',
user_ Gender char (3) comment 'user gender',
user_ Status tinyint (1) not null comment 'user status',
user_ Height decimal (4,1) not null comment 'user height',
user_ Desc text comment 'user profile'
);
Table field index
- Primary key index: alter table
table_name
ADD PRIMARY KEY (column
)Used to uniquely identify a record - Unique index: alter table
table_name
ADD UNIQUE (column
)Often not to improve access speed, but to avoid data duplication - General index: alter table
table_name
ADD INDEX index_name (column
), the only task is to speed up access to data - Full text index: alter table
table_name
ADD FULLTEXT index_name (column1
,column2
), which can only be used for MyISAM tables. For large data, generating full-text indexes takes a lot of time and space - Federated index: alter table
table_name
ADD INDEX index_name (column1
,column2
,column3
), in order to improve MySQL efficiency
#Delete primary key index
ALTER TABLE `table_name` DROP PRIMARY KEY
#Delete unique index
ALTER TABLE `table_name` DROP INDEX unique_index_name;
ALTER TABLE `table_name` DROP INDEX cloumn;
#Delete normal index
ALTER TABLE `table_name` DROP INDEX index_name;
#Delete full-text index
ALTER TABLE `table_name` DROP INDEX fulltext_index_name;
ALTER TABLE `table_name` DROP INDEX cloumn;
Modify table
Field add
# ALTER TABLE tb_ Name add field type non empty constraint default value comment
ALTER TABLE tb_ Name add address varchar (100) not null default comment 'user address';
Field type modification
# ALTER TABLE tb_ Name modify field new field type non NULL constraint default value comment
ALTER TABLE tb_ Name modify address varchar (50) not null default comment 'user address';
Field name type modification
# ALTER TABLE tb_ Name modify old field new field new field type non empty constraint default value comment
ALTER TABLE tb_ Name change address addr varchar (50) not null default comment 'user address';
Field type query
DESC tb_name;
Field deletion
# ALTER TABLE tb_ Name DROP field
ALTER TABLE tb_name DROP addr;
Table name modification
#Alter table old table name rename to new table name
ALTER TABLE tb_name RENAME TO tb_name1
Table engine modification
# ALTER TABLE tb_ Name engine = new engine
ALTER TABLE tb_name ENGINE = MyISAM;
Delete table
#Drop table table name
DROP TABLE tb_name;
#Delete if table exists
DROP TABLE IF EXISTS tb_name;
Query table
#Query all tables
SHOW TABLES;
#Script for query table creation
SHOW CREATE TABLE tb_name;
MySQL DML operation
New data
#Insert into table name (field name: field 1, field 2,... Field n) values (value 1, value 2,... Value n);
#Full table insert
INSERT INTO `tb_ User ` (` user _name `, ` user _birthday `, ` user _gender `, ` user _status `, ` user _height `, ` user _desc `) values ('zeng Xiaoxian ',' 2020-11-22 ',' male ', 1, 174.5,' a good man is me, I am a good man Zeng Xiaoxian ');
#Specify column insertion, provided that other columns have no non empty constraints
INSERT INTO `tb_ User ` (` user_name `, ` user_birthday `, ` user_gender `, ` user_status `, ` user_height `) values ('hu Xiaomei ',' 2020-11-22 ',' female ', 1, 174.5);
Modify data
#Update table name set field 1 = new value 1, field 2 = new value 2 Field n = new value n where condition
UPDATE `tb_user` SET user_birthday='1995-10-20' WHERE user_id=2;
UPDATE `tb_user` SET user_birthday='1995-10-20', user_status = 2 WHERE user_id=2;
UPDATE `tb_user` SET user_status = 1 where user_id > 1;
UPDATE `tb_user` SET user_status = 1;
Delete data
#Delete from table name where condition
DELETE FROM `tb_user` WHERE user_id=2;
Query data
#Select field 1, field 2 Field n from table name where condition
#Query without conditions
select * from tb_user;
select user_id,user_name from tb_user;
#Query with conditions (comparison operation >, <, > =, < =,! =, < >, =)
select * from tb_user where user_id > 1;
#Query with logical conditions (and, or)
select * from tb_user where user_status = 1 and user_id > 1;
select * from tb_ user where user_ id = 1 or user_ Name = 'Hu Xiaomei';
#Fuzzy query (like%%)
select * from tb_ user where user_ Name like '%';
select * from tb_ user where user_ Name like '% free';
select * from tb_ user where user_ Name like '% small%';
#Range query
select * from tb_user where tb_status in (0,1,2);
#Aggregate function
-- count(field)
Select count (user_id) number of users from TB_ user;
-- sum(field)
Select sum (user_height) total height from TB_ user;
-- avg(field)
Select AVG (user_height) average height from TB_ user;
...
#Grouping query
--Group by counts the average height of men and women: the fields in the group by query must be the fields after group by
select user_ Gender as gender, AVG (user_height) average height from TB_ user group by user_ gender;
select user_ status,user_ Gender as gender, AVG (user_height) average height from TB_ user group by user_ gender,user_ status;
select user_ Gender as gender, AVG (user_height) average height, sum (user_height), count (user_id) number of users from TB_ user group by user_ gender;
#Sort query
--Order by defaults to asc ascending and desc descending; Order by is placed after group by
select * from tb_user order by user_id asc;
select * from tb_user order by user_id desc;
select * from tb_user where user_id < 10 order by user_id desc;
select * from tb_user where user_id < 10 order by user_id,user_status desc;
select user_ Gender as gender, AVG (user_height) average height, sum (user_height), count (user_id) number of users from TB_ user group by user_ Gender order by number of users;
#Create score table
CREATE TABLE `tb_score` (
`id` int(11) NOT NULL PRIMARY KEY AUTO_INCREMENT,
`stu_id` int(11) NOT NULL,
`cou_id` int(11) NOT NULL,
`score` decimal(4,1) NOT NULL
);
--Insert test data
INSERT INTO tb_score (`stu_id`, `cou_id`, `score`) VALUES(1,1,89.0);
INSERT INTO tb_score (`stu_id`, `cou_id`, `score`) VALUES(1,2,78.0);
INSERT INTO tb_score (`stu_id`, `cou_id`, `score`) VALUES(1,3,94.0);
INSERT INTO tb_score (`stu_id`, `cou_id`, `score`) VALUES(1,4,77.0);
INSERT INTO tb_score (`stu_id`, `cou_id`, `score`) VALUES(1,5,99.0);
INSERT INTO tb_score (`stu_id`, `cou_id`, `score`) VALUES(3,1,90.0);
INSERT INTO tb_score (`stu_id`, `cou_id`, `score`) VALUES(3,2,88.0);
INSERT INTO tb_score (`stu_id`, `cou_id`, `score`) VALUES(3,3,69.0);
INSERT INTO tb_score (`stu_id`, `cou_id`, `score`) VALUES(3,4,83.0);
INSERT INTO tb_score (`stu_id`, `cou_id`, `score`) VALUES(3,5,92.0);
INSERT INTO tb_score (`stu_id`, `cou_id`, `score`) VALUES(2,1,77.0);
INSERT INTO tb_score (`stu_id`, `cou_id`, `score`) VALUES(2,2,84.0);
INSERT INTO tb_score (`stu_id`, `cou_id`, `score`) VALUES(2,3,91.0);
INSERT INTO tb_score (`stu_id`, `cou_id`, `score`) VALUES(2,4,80.0);
INSERT INTO tb_score (`stu_id`, `cou_id`, `score`) VALUES(2,5,99.0);
#Paging query
--Query the highest score with account ID 1
select max(score) from tb_score where course_id = 1;
select * from tb_score where course_id = 1 limit 1;
--Query the top five grades with course ID 4
select * from tb_score where course_id = 4 order by score limit 5;
--Limit paging. The starting value is 0: (PageIndex - 1) * PageSize, PageSize
select * from tb_score limit 0,10
select * from tb_score limit 10,10
select * from tb_score limit 20,10