Mysql database, query

1. Sample table contents

dept surface ：

+--------+------------+----------+
| DEPTNO | DNAME      | LOC      |
+--------+------------+----------+
|     10 | ACCOUNTING | NEW YORK |
|     20 | RESEARCH   | DALLAS   |
|     30 | SALES      | CHICAGO  |
|     40 | OPERATIONS | BOSTON   |
+--------+------------+----------+

emp surface ：

+-------+--------+-----------+------+------------+---------+---------+--------+
| EMPNO | ENAME  | JOB       | MGR  | HIREDATE   | SAL     | COMM    | DEPTNO |
+-------+--------+-----------+------+------------+---------+---------+--------+
|  7369 | SMITH  | CLERK     | 7902 | 1980-12-17 |  800.00 |    NULL |     20 |
|  7499 | ALLEN  | SALESMAN  | 7698 | 1981-02-20 | 1600.00 |  300.00 |     30 |
|  7521 | WARD   | SALESMAN  | 7698 | 1981-02-22 | 1250.00 |  500.00 |     30 |
|  7566 | JONES  | MANAGER   | 7839 | 1981-04-02 | 2975.00 |    NULL |     20 |
|  7654 | MARTIN | SALESMAN  | 7698 | 1981-09-28 | 1250.00 | 1400.00 |     30 |
|  7698 | BLAKE  | MANAGER   | 7839 | 1981-05-01 | 2850.00 |    NULL |     30 |
|  7782 | CLARK  | MANAGER   | 7839 | 1981-06-09 | 2450.00 |    NULL |     10 |
|  7788 | SCOTT  | ANALYST   | 7566 | 1987-04-19 | 3000.00 |    NULL |     20 |
|  7839 | KING   | PRESIDENT | NULL | 1981-11-17 | 5000.00 |    NULL |     10 |
|  7844 | TURNER | SALESMAN  | 7698 | 1981-09-08 | 1500.00 |    0.00 |     30 |
|  7876 | ADAMS  | CLERK     | 7788 | 1987-05-23 | 1100.00 |    NULL |     20 |
|  7900 | JAMES  | CLERK     | 7698 | 1981-12-03 |  950.00 |    NULL |     30 |
|  7902 | FORD   | ANALYST   | 7566 | 1981-12-03 | 3000.00 |    NULL |     20 |
|  7934 | MILLER | CLERK     | 7782 | 1982-01-23 | 1300.00 |    NULL |     10 |
+-------+--------+-----------+------+------------+---------+---------+--------+

salgrade surface ：

+-------+-------+-------+
| GRADE | LOSAL | HISAL |
+-------+-------+-------+
|     1 |   700 |  1200 |
|     2 |  1201 |  1400 |
|     3 |  1401 |  2000 |
|     4 |  2001 |  3000 |
|     5 |  3001 |  9999 |
+-------+-------+-------+

---

2. Simple query

MySQL Database usage SQL SELECT Statement to query data .

For example, we want to query all the information of a table , You can do this ：

Of course , This way of querying is inefficient , We recommend you to use multi column query ：

mysql> select * from dept;
+--------+------------+----------+
| DEPTNO | DNAME      | LOC      |
+--------+------------+----------+
|     10 | ACCOUNTING | NEW YORK |
|     20 | RESEARCH   | DALLAS   |
|     30 | SALES      | CHICAGO  |
|     40 | OPERATIONS | BOSTON   |
+--------+------------+----------+
4 rows in set (0.00 sec)

that , If you want to query the information of a single column ？

You can specify the column name to query ：

mysql> select DNAME from dept;
+------------+
| DNAME      |
+------------+
| ACCOUNTING |
| RESEARCH   |
| SALES      |
| OPERATIONS |
+------------+
4 rows in set (0.00 sec)

Query the information of multiple columns , It can be written like this ：

mysql> select DNAME , LOC from dept;
+------------+----------+
| DNAME      | LOC      |
+------------+----------+
| ACCOUNTING | NEW YORK |
| RESEARCH   | DALLAS   |
| SALES      | CHICAGO  |
| OPERATIONS | BOSTON   |
+------------+----------+
4 rows in set (0.00 sec)

---

3. Alias the list

During the query , We can also choose to list an alias ：

mysql> select DNAME as NAME from dept;
+------------+
| NAME       |
+------------+
| ACCOUNTING |
| RESEARCH   |
| SALES      |
| OPERATIONS |
+------------+
4 rows in set (0.00 sec)

Or you can skip it as keyword ：

mysql> select DNAME NAME from dept;
+------------+
| NAME       |
+------------+
| ACCOUNTING |
| RESEARCH   |
| SALES      |
| OPERATIONS |
+------------+
4 rows in set (0.00 sec)

In all databases , Single quotation marks are used for strings , It's a standard 🧨

---

4. Column operation

At query time , We can also directly perform column operations ：

such as , We want to calculate the annual salary of our employees ：

mysql> select ename,sal*12 from emp;
+--------+----------+
| ename  | sal*12   |
+--------+----------+
| SMITH  |  9600.00 |
| ALLEN  | 19200.00 |
| WARD   | 15000.00 |
| JONES  | 35700.00 |
| MARTIN | 15000.00 |
| BLAKE  | 34200.00 |
| CLARK  | 29400.00 |
| SCOTT  | 36000.00 |
| KING   | 60000.00 |
| TURNER | 18000.00 |
| ADAMS  | 13200.00 |
| JAMES  | 11400.00 |
| FORD   | 36000.00 |
| MILLER | 15600.00 |
+--------+----------+
14 rows in set (0.00 sec)

---

5. Conditions of the query

Example 1： The query salary is greater than or equal to 3000 Information about ：

mysql> select empno,ename from emp where sal >= 3000;
+-------+-------+
| empno | ename |
+-------+-------+
|  7788 | SCOTT |
|  7839 | KING  |
|  7902 | FORD  |
+-------+-------+
3 rows in set (0.00 sec)

Example 2： Check salary at 2000 To 3000（ contain 2000 and 3000） Information about ：

mysql> select empno,ename from emp where sal between 2000 and 3000;
+-------+-------+
| empno | ename |
+-------+-------+
|  7566 | JONES |
|  7698 | BLAKE |
|  7782 | CLARK |
|  7788 | SCOTT |
|  7902 | FORD  |
+-------+-------+
5 rows in set (0.00 sec)

Example 3： Query employees whose subsidies are empty （ Not empty is not null）：

mysql> select empno,ename from emp where comm is null;
+-------+--------+
| empno | ename  |
+-------+--------+
|  7369 | SMITH  |
|  7566 | JONES  |
|  7698 | BLAKE  |
|  7782 | CLARK  |
|  7788 | SCOTT  |
|  7839 | KING   |
|  7876 | ADAMS  |
|  7900 | JAMES  |
|  7902 | FORD   |
|  7934 | MILLER |
+-------+--------+
10 rows in set (0.00 sec)

Mysql Compare NULL Value cannot be used = Number

Example 4： Query position is MANAGER And the salary is greater than or equal to 2500 Information about ：

mysql> select * from emp where JOB = "MANAGER" and SAL >= 2500;
+-------+-------+---------+------+------------+---------+------+--------+
| EMPNO | ENAME | JOB     | MGR  | HIREDATE   | SAL     | COMM | DEPTNO |
+-------+-------+---------+------+------------+---------+------+--------+
|  7566 | JONES | MANAGER | 7839 | 1981-04-02 | 2975.00 | NULL |     20 |
|  7698 | BLAKE | MANAGER | 7839 | 1981-05-01 | 2850.00 | NULL |     30 |
+-------+-------+---------+------+------------+---------+------+--------+
2 rows in set (0.00 sec)

Example 5： Query position is MANAGER perhaps SALESMAN The employees' ：（ Use keywords in）（ Do not use between certain values not in）

mysql> select empno,ename,job from emp where job in ('MANAGER','SALESMAN');
+-------+--------+----------+
| empno | ename  | job      |
+-------+--------+----------+
|  7499 | ALLEN  | SALESMAN |
|  7521 | WARD   | SALESMAN |
|  7566 | JONES  | MANAGER  |
|  7654 | MARTIN | SALESMAN |
|  7698 | BLAKE  | MANAGER  |
|  7782 | CLARK  | MANAGER  |
|  7844 | TURNER | SALESMAN |
+-------+--------+----------+
7 rows in set (0.00 sec)

Example 6： Fuzzy query , Find the letters in the name o Of ：

mysql> select ename from emp where ename like '%o%';
+-------+
| ename |
+-------+
| JONES |
| SCOTT |
| FORD  |
+-------+
3 rows in set (0.00 sec)

Example 7： Fuzzy query , Find the name to T At the end of the ：

mysql> select ename from emp where ename like '%T';
+-------+
| ename |
+-------+
| SCOTT |
+-------+
1 row in set (0.00 sec)

Example 8： Fuzzy query , Find the name to K At the beginning ：

mysql> select ename from emp where ename like 'K%';
+-------+
| ename |
+-------+
| KING  |
+-------+
1 row in set (0.00 sec)

Example 9： Fuzzy query , Find out that the second letter of the name is A Of ：

mysql> select ename from emp where ename like '_A%';
+--------+
| ename  |
+--------+
| WARD   |
| MARTIN |
| JAMES  |
+--------+
3 rows in set (0.00 sec)

Example 10： Fuzzy query , Find out that the third letter of the name is A Of ：

mysql> select ename from emp where ename like '__A%';
+-------+
| ename |
+-------+
| BLAKE |
| CLARK |
| ADAMS |
+-------+
3 rows in set (0.00 sec)