Advanced 1. Direct query
– single field in query table –
select sNo from student;
– single field in query table –
select sNo, sName from student;
– query all fields in the table
select * from student;
Note: which library to use when querying all fields
2. Query constant value
select 100; select 'male';
3. Query expression value
select 100%98;
4. Query function
select version();
5. Alias fields
1. Easy to understand 2. Easy to distinguish (If the fields to be queried have duplicate names, you can distinguish them)
Method 1
select 100%98 as result; select sNo as Student number, sName as name from student; #Improve readability
Method 2
select sNo student number, sName name from student;
– in special cases, you want to make sNo the alias of out put –
select sNo as out put from student; – err because out is also a keyword
select sNo as 'out put' from student;
8. Re query all classes involved in the student table
select distinct deptment from student;
9. The '+' sign is used to query the student name and class into a field
C In language '+' Function of No: 1. Operator, both operands are numeric 2. Connector, as long as one operand is a string Mysql Medium: There is only one function: operator select 100+90; # Both are numerical operation results 190 select '123'+90; # One party is character type, trying to convert character type to numeric type # If the conversion is successful, continue the addition operation select 'dzj'+90; # If the conversion fails, the character value is converted to 0 and then calculated select null+90; # If one result is null, the operation result is null
Select concat (sname, depth) as class name from student;
concat is a function, which will be described later
Advanced 2. Condition query
Syntax: select Query list from Table name where Screening conditions; Classification: 1, Filter by conditional expression Simple conditional operators:> < = !=(<>) >= <= 2, Filter by logical expression Action: used to join conditional expressions Logical expression:&& || ! mysql: and or not &&and and: Both conditions are true, The result is true, On the contrary false ||or or: As long as one condition is true,The result is true,On the contrary false !or not: If the connection condition itself is false,The result is true,On the contrary false Three, fuzzy query like between and in is null
1, Filter by conditional expression
– screening students over 165 in height –
select * from student where hight > 170;
– screen names and classes of students who are not online 131 –
select sName, deptment from student where deptment != 'Network 131';
2, Filter by logical expression
– screen names and classes of students between 170-180 in height –
select sName, deptment from student where hight >= 170 and hight<=180;
– screen the information of students whose height is not between 170-180 or whose height is greater than 180 –
select * from student where not(hight >= 160 and hight <= 180) or hight > 180;
1. like
like 1. Generally used with wildcards Wildcard: % Any number of characters _ Any single character
– screen the information of students surnamed 'Wang' –
select * from student where sName like '%king%';
– select the student information whose third digit is 1 and the tenth digit is 4 –
select * from student where sNo like '__1______4%'; # If you encounter the filter conditions, there are_ The escape character '\' can be used
Between and
matters needing attention: 1.use between and Mention the brevity of the statement, but include boundary values 2.Do not reverse the threshold
– screen the information of students between 170-180 in height –
1. Old method
select * from student where hight>= 170 and hight <= 180; # That's what it says
2. New methods
select * from student where hight between 170 and 180;
3. in
Meaning: judge whether the value of a field belongs to in An item in the list characteristic: 1.Improve sentence conciseness 2.in()The value types inside must be unified 3.in use in The conditions in () should be written completely
– screening the classmate information of software 131 or network 131 –
1. Old method
select * from student where deptment='Software 131' or deptment='Network 131';
2. in method
select * from student where deptment in('Software 131', 'Network 131');
4. is null
=or<>Cannot be used for judgment null value is null or is not null Can judge null value
– screen the information of students who are not class committee members –
select * from student where remark is null;
5. Safety equals: < = >
select * from student where remark <=> null;
– screen the names, gender and class of students with height of 173 –
select sName, sex, deptment from student where hight <=> 173;
Advanced 3. Sorting Query
– height from low to high –
select * from student order by hight asc;
– height from top to bottom –
select * from student order by hight desc;
– those with height greater than 160 are sorted by age [add filter add] –
select * from student where hight>=160 order by birthday;
– display classmate information by 2 times of height [sort by expression] –
select *, hight*2 Twice as tall from student order by hight*2;
– display students' information by twice their height [sort by alias]
select *, hight*2 Twice as tall from student order by Twice as tall;
– display the names of students by the length of their names and class numbers [sort by function]
select length(sName) Byte length, sName, deptment, sNo from student order by length(sName);
– first in ascending order by height, then in descending order by name length [sort by multiple fields] –
select * from student order by hight asc, length(sName) desc;
Let people of the same height rank according to the length of their names from high to low Such as Tian Cuiping and Zhou Wei