MySql common command summary

Precautions:

sql uses single quotes to surround text values ​​(most database systems also accept double quotes). If it's a number, don't use quotes.

1. Database

1. Create a database

CREATE DATABASE lesson ;

Create a database named lesson

2. Delete the database

drop database lesson ;

Two: table

1. Create a table

CREATE TABLE `mydb`.`it` (
      `id` INT NOT NULL,
      `name` VARCHAR(45) NULL,
      PRIMARY KEY (`id`)
 );

Create a table in the database named mydb, the name of the table is it.

There are two fields in the table: id , name . where the primary key is id

2, delete the table

DROP TABLE `mydb`.`it`;

Database name: mydb

table name: it

3. Modify the name of the table

RENAME TABLE student TO user ;

Change the name of the student table to user

4. Copy table

create table table2 select * from user ;

Create a new table table2 by copying the user table

Three: add data

1. Insert data into the table

INSERT INTO `mydb`.`user` (`id`, `name`, `age`) VALUES ('2', 'lisid', '25');

mydb : database name

user : table name

id , name , age : represent three fields
VALUES : data corresponding to the field

Four: delete data

1. Conditional delete (delete a row of data)

DELETE FROM user WHERE  id=1  ; 

delete all data with id = 1 (delete the row with id = 1)

5. Update data

1. Update the value of a field

UPDATE `mydb`.`user` SET `age`='22' WHERE `id`='1';

data name: mydb
table name: user
field: age
filter condition: id = 1 ;

In the mydb database, in the user table, change the value of the age attribute of the row with id = 1 to 22

2. Update the values ​​of multiple fields

UPDATE `mydb`.`user` SET `name`='奶茶妹妹', `age`='18' WHERE `id`='2'; 

In the mydb database, in the user table, change the name attribute value of the row with id = 2 to Sister Milk Tea, and the age attribute value to 22

Six: query data

1. Query

SELECT * FROM mydb.user;

Query all data in the user table from the mydb database

2. Single attribute query

SELECT name  FROM user ;

Query all the name attribute values ​​from the user table

3. Multi-attribute query

SELECT name , age  FROM user ;

Query all the attribute values ​​of name and age from the user table

4. Conditional query where

1. Query by id

SELECT name , age , id  FROM user where id = 2 ;

Query all the attribute values ​​of name, age, and id whose id is equal to 2 from the user table. Note that the type of id is an integer, so 2 does not need to add single quotes

2. Query by name

SELECT name , age , id  FROM user where name = 'tom' ;

Query all attribute values ​​of name, age, and id whose name value is equal to 'tom' from the user table. Note that the type of name is character type, and 'tom' is added with single quotes

3. Logical query: greater than

SELECT * FROM `user` WHERE id > 5  ;

Query all attribute values ​​of name, age, and id with an id value greater than 5 from the user table.
All logical operators are supported: greater than> , less than < , greater than or equal to >= , less than or equal to <= , equal to = , not equal!= (or <>)

4. Logical query: BETWEEN

SELECT * FROM `user` WHERE id BETWEEN 3 AND 8  ;

user : table name

id : field name

between : The function of the operator is to select the data range between two values

Query all attribute values ​​of name, age, and id with id values ​​between 3 (including 3) and (including 8) from the user table. That is, the id is greater than or equal to 3 and less than or equal to 8.

5. Logical query: in

SELECT * FROM `user` WHERE age in ( 12 , 18 )  ;

user : table name

age : field name

in : The role of the operator is to specify multiple values ​​for the query condition

Query all information about people aged 12 and 18 from the user table. Equivalent to union.

5. Fuzzy query like

1. Fuzzy query: start with a character

SELECT * FROM student WHERE phone LIKE '1825%'

student : table name
phone : field name represents mobile phone number

LIKE : fuzzy query

% : Represents any one or more characters, which can match characters of any type and length.

Find out the mobile number starting with 1825 from the student table

2. Fuzzy query: multiple conditions

SELECT * FROM student WHERE phone LIKE '182%' AND `name` LIKE 'zhang%'   ;

student : table name

phone : The field name represents the phone number

name : The field name represents the name
. Find out all the information of the mobile phone number starting with 182 and the name starting with zhang from the student table

3. Fuzzy query: wildcard

SELECT * FROM student WHERE phone LIKE '1825110114_'

student : table name

phone : The field name represents the phone number

LIKE : fuzzy query

_ : represents a character

Find out the mobile number starting with 1825110114 from the student table

5. Fuzzy query: contains

SELECT * FROM student WHERE phone LIKE '%114%' ;

student : table name

phone : The field name represents the phone number

LIKE : fuzzy query

% : Represents any one or more characters, which can match characters of any type and length.
Find out all the information of the mobile phone number including 114 from the student table

6. Fuzzy query: cancel wildcards

SELECT * FROM student WHERE phone LIKE '%114\%'  ;

student : table name

phone : The field name represents the phone number

LIKE : fuzzy query

% : Represents any one or more characters, which can match characters of any type and length.

Find out the mobile phone number ending with 114% from the student table, the first % stands for wildcard, % stands for % character, there is no wildcard function

6. Quantity limit query limit

select * from user order by id limit 3 , 5 ;

The query from the user table starts from 3 (including 3), and the number is 5 pieces of data. That is, 3, 4, 5, 6, 7 pieces of data

Note that 5 represents the number of queries

7. Single field sorting query order by

The order by statement is used to sort the result set according to the specified column, by default in ascending order.

select * from  mydb.`user` order by age ;

mydb : database name

user : table name

age : Sort field

Query all the information from the user table, and the query results are sorted by the age field. (default ascending order)

select * from  mydb.`user` order by age DESC ;  

Query all the information from the user table, and the query results are sorted in descending order by the age field.

8. Multi-field sorting query order by

select * from  mydb.`user` order by age DESC , `name` ;  

mydb : database

user : table name

age : age

name : first name

Query all the information from the user table, and the query results are sorted in descending order of age. If the ages are the same, they are sorted in ascending order by name.

9. Find the total count()

SELECT COUNT( name ) FROM `user`   ;

name : field name, representing the name

user : table name

Query the number of name values ​​from the user table, excluding null values.

SELECT COUNT( * ) FROM `user` ;

Query the number of records in the user table

SELECT COUNT( DISTINCT `name` ) FROM `user` ;

Query the number of different values ​​of the name field in the user table, which is equivalent to deduplication.

10. Find the maximum value max() and the minimum value min()

MIN and MAX can also be used with text columns to get the highest or lowest value in alphabetical order.

SELECT MAX( id ) FROM `user` ;

Query the maximum value of the id field from the user table

SELECT MIN( id ) FROM `user` ;

Query the minimum value of the id field from the user table

11. Sum ()

SELECT SUM( id ) FROM `user` ;

id : field name

user : table name

Query the sum of the id values ​​in the user table

12. Average avg()

SELECT AVG( id ) FROM `user` ;

id : field name

user : table name

Query the average number of id values ​​in the user table

13. Display all databases

SHOW DATABASES;

14. Display all tables

SHOW TABLES;

Seven: View

1. The basic concept of view

http://www.cnblogs.com/zzwlovegfj/archive/2012/06/23/2559596.html

2. Create a view

CREATE VIEW myview as SELECT * FROM mydb.`user` ;

myview : the name of the view

mydb : the name of the database

user : the name of the table

Query all the data of the user table as the data of the view myview

3, delete the view

drop view myview ;

myview : the name of the view

Eight: Subqueries

1. Query the first 5 pieces of data whose status field is 0 in the video table, and sort them in descending order by id

select t.* from (select * from video where status = 0 limit 5) as t order by t.id desc ; 

Here is select * from video where status = 0 limit 5equivalent to a temporary table, replaced by an alias t.


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