1. SELECT statement SELECT COL1, COL2, ....COLn FROM TABLE1, TABLE2, ....TABLEn
[WHERE CONDITIONS] -- Query conditions
[GROUP BY GROUP_BY_LIST] -- Query result grouping
[HAVING CONDITIONS] -- Query conditions - statistical results as conditions
[ORDER BY ORDER_LIST[ASC|DESC] -- Query result sorting
2. Simple query
1. Query all rows and columns in the table
eg: Query all rows and columns in the player table
select user_qq,user_name,user_sex,user_birthday,user_mobile from users;
select * from users;
2. Query some columns of the table
eg: Query from the player table Player QQ and nickname
select user_qq,user_name from users;
3. Use of alias
eg: Query player QQ and nickname from the player table and display it as ' Player QQ' and 'player nickname'
select user_qq as 'player QQ',user_name as 'player nickname' from users;
select user_qq 'player QQ',user_name 'player nickname' from users;
4.DISTINCT keyword-eliminate duplicate rows in the result set
eg: Display QQ of players who participated in the game, and require players who participated in multiple games not to display QQ repeatedly
select distinct user_qq from scores;
5.LIMIT keyword-specify the display range of the data in the result set
eg: Display the 3rd to 5th data in the player table
select * from users limit 2,3;
select*from users limit 3 ---Only display the first three pieces of data
三.Conditional query
1. Ordinary condition query
Syntax: SELECT COL_LIST FROM TABLE_NAME [WHERE CONDITION_EXPRESSION]
eg1: Query the player information with QQ number 12301
select * from users where user_qq =12301;
eg2: Query data with scores greater than 2500
select *from scores where score>2500;
<> --- --Not equal to >= -----Greater than or equal to <= -----Less than or equal to
eg3: Query the score information of the game number 1 and the score is greater than 4000 points
select * from scores where gno=1 and score>4000;
Logical operators: and-- and
or-- or
#eg4: Query the score information of game numbers 1 and 2select * from scores where gno=1 or gno=2;2. Fuzzy queryeg1: Query scores with scores between 2500 (inclusive) and 3000 (inclusive)select *from scores where score>=2500 and score<=3000;select * from scores where score between 2500 and 3000;eg2: Query score information where score is not between 2500 (inclusive) and 3000 (inclusive)select * from scores where score not between 2500 and 3000;eg3: Query players born from January 1, 1987 to July 31, 1992select * from users where user_birthday between '1987-01-01' and '1992-0731';
Wildcard: '_' One character Branch like 'L_' Any length Route_Code Like 'AMS-%' [] Within the specified range Airbusno Like 'AB0[1-5 ] ' [^^] Not in parentheses, Airbusno Like' Ab0 [^] ' Eg4: Query all the player information of all the surnames of the Sun
## Select * from users where user_name like 'Sun%';
eg5: Query the information of all players whose surname is not Sun
select * from users where user_name not like 'Sun%';
3. Query empty Value operator
eg: Query the information of players whose birthday is null
select * from users where use_birthday is null;
eg: Query the players whose birthday is not NULL Information
select * from users where user_birthday is not null;
Four pairs of query results sorting
1. Sort the specified column (sort by , sorting method)
Syntax: SELECT CLO_LIST FROM TABLE_NAME ORDER BY ORDER_BY_LIST [ASC/DESC]
Example: Query all score information numbered 1 in the score table, and sort by score in ascending order
select *from scores where gno=1 order by score asc.
Example: Query all score information numbered 1 in the score table, and sort by score in descending order
select * from score where gno=1 order by score desc.
2. Sort multiple columns (sorting basis, sorting method, priority)
Example: Query all information in the score table , and sort in ascending order of game number and descending order of score
select * from scores order by gno asc, score desc
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