Methods of de duplication and connection query in MySQL database

MySQL Methods of de duplication and connection query in database

This article is for you to know MySQL Methods of de duplication and connection query in database . It has certain reference value , Friends in need can refer to , I hope that's helpful .

Catalog

• 1. duplicate removal

• 2. Link query

• Use where Perform multi table join query

• Internal connection - Equivalent connection

• Internal connection - Non equivalent connection

• Internal connection - Self join

• External connection - Left and right outer connection

• Three meter connection

1. duplicate removal

Refer to this article for the contents of the sample table

There are some MySQL There may be duplicate records in the data table , In some cases we allow duplicate data to exist , But sometimes we also need to delete these duplicate data .

for example ： To redisplay position information ：

mysql> select distinct job from emp;+-----------+| job       |+-----------+| CLERK     || SALESMAN  || MANAGER   || ANALYST   || PRESIDENT |+-----------+5 rows in set (0.02 sec)

Another example ： Combined weightlessness , Find unique information about departments and positions ：

mysql> select distinct job,deptno from emp;+-----------+--------+| job       | deptno |+-----------+--------+| CLERK     |     20 || SALESMAN  |     30 || MANAGER   |     20 || MANAGER   |     30 || MANAGER   |     10 || ANALYST   |     20 || PRESIDENT |     10 || CLERK     |     30 || CLERK     |     10 |+-----------+--------+9 rows in set (0.00 sec)

Another example ： Now we want to count the number of jobs , Use a combination of count function ：

mysql> select count(distinct job) from emp;+---------------------+| count(distinct job) |+---------------------+|                   5 |+---------------------+1 row in set (0.00 sec)

2. Link query

We've learned how to read data in a table , It's relatively simple , But in real applications, it is often necessary to read data from multiple data tables .

JOIN According to the function, it can be divided into the following three categories ：

INNER JOIN（ Internal connection , Or equivalent connection ）： Get the records of field matching relationship in two tables .

LEFT JOIN（ Left connection ）： Get all the records in the left table , Even if the right table does not have a matching record .

RIGHT JOIN（ The right connection ）： And LEFT JOIN contrary , Used to get all records in the right table , Even if the left table does not have a matching record .

The mechanism of multi table connection is ： Take every piece of data from one of the tables , Match data rows from another table . This involves the problem of efficiency control

Use where Perform multi table join query

Now let's demonstrate an example ： Take out the name of each employee and department ：

mysql> select ename,dname    -> from emp,dept    -> where emp.deptno = dept.deptno;+--------+------------+| ename  | dname      |+--------+------------+| SMITH  | RESEARCH   || ALLEN  | SALES      || WARD   | SALES      || JONES  | RESEARCH   || MARTIN | SALES      || BLAKE  | SALES      || CLARK  | ACCOUNTING || SCOTT  | RESEARCH   || KING   | ACCOUNTING || TURNER | SALES      || ADAMS  | RESEARCH   || JAMES  | SALES      || FORD   | RESEARCH   || MILLER | ACCOUNTING |+--------+------------+14 rows in set (0.00 sec)

above sql Statements are actually inefficient , We try to optimize （ Alias a table ）：（sql92 grammar ）

mysql> select e.ename,d.dname    -> from emp e,dept d    -> where e.deptno = d.deptno;+--------+------------+| ename  | dname      |+--------+------------+| SMITH  | RESEARCH   || ALLEN  | SALES      || WARD   | SALES      || JONES  | RESEARCH   || MARTIN | SALES      || BLAKE  | SALES      || CLARK  | ACCOUNTING || SCOTT  | RESEARCH   || KING   | ACCOUNTING || TURNER | SALES      || ADAMS  | RESEARCH   || JAMES  | SALES      || FORD   | RESEARCH   || MILLER | ACCOUNTING |+--------+------------+14 rows in set (0.00 sec)

Be careful ： The more tables are connected , The less efficient , Please try to reduce the connection times of the table ！

Internal connection - Equivalent connection

Or the example above , Take out the name of each employee and department ：（sql99 grammar ）

Internal connection , We use inner

mysql> select e.ename,d.dname    -> from emp e    -> inner join    -> dept d    -> on    -> e.deptno = d.deptno;+--------+------------+| ename  | dname      |+--------+------------+| SMITH  | RESEARCH   || ALLEN  | SALES      || WARD   | SALES      || JONES  | RESEARCH   || MARTIN | SALES      || BLAKE  | SALES      || CLARK  | ACCOUNTING || SCOTT  | RESEARCH   || KING   | ACCOUNTING || TURNER | SALES      || ADAMS  | RESEARCH   || JAMES  | SALES      || FORD   | RESEARCH   || MILLER | ACCOUNTING |+--------+------------+14 rows in set (0.00 sec)

sql99 The advantages of ： The connection of tables is independent , Not occupy where The location of . send sql The whole sentence is clearer

Internal connection - Non equivalent connection

Case study ： Find out the salary scale of each employee , Ask to show employee name , Salary , Pay scales

mysql> select    -> e.ename,e.sal,s.grade    -> from    -> emp e    -> inner join    -> salgrade s    -> on    -> e.sal between s.losal and s.hisal;+--------+---------+-------+| ename  | sal     | grade |+--------+---------+-------+| SMITH  |  800.00 |     1 || ALLEN  | 1600.00 |     3 || WARD   | 1250.00 |     2 || JONES  | 2975.00 |     4 || MARTIN | 1250.00 |     2 || BLAKE  | 2850.00 |     4 || CLARK  | 2450.00 |     4 || SCOTT  | 3000.00 |     4 || KING   | 5000.00 |     5 || TURNER | 1500.00 |     3 || ADAMS  | 1100.00 |     1 || JAMES  |  950.00 |     1 || FORD   | 3000.00 |     4 || MILLER | 1300.00 |     2 |+--------+---------+-------+14 rows in set (0.01 sec)

Internal connection - Self join

Case study ： Query the superior of the employee , Employee name and corresponding leader name are required to be displayed

We can find out , The relationship between employees and leaders is in a table , At this point, you need to use self connection （ skill ： Look at one table as two tables ）

mysql> select    -> a.ename as ' Employee name ',b.ename as ' Name of leader '    -> from emp a    -> join emp b    -> on    -> a.mgr = b.empno;+-----------+-----------+|  Employee name     |  Name of leader       |+-----------+-----------+| SMITH     | FORD      || ALLEN     | BLAKE     || WARD      | BLAKE     || JONES     | KING      || MARTIN    | BLAKE     || BLAKE     | KING      || CLARK     | KING      || SCOTT     | JONES     || TURNER    | BLAKE     || ADAMS     | SCOTT     || JAMES     | BLAKE     || FORD      | JONES     || MILLER    | CLARK     |+-----------+-----------+13 rows in set (0.00 sec)

External connection - Left and right outer connection

The difference between external connection and internal connection is , The records of a table whose external connection fails to match will also be taken out

Case study ： Find the employee's department information . Ask the Department to find out even if there are no employees

mysql> select    -> e.ename,d.dname    -> from emp e    -> right join dept d    -> on    -> e.deptno = d.deptno;+--------+------------+| ename  | dname      |+--------+------------+| SMITH  | RESEARCH   || ALLEN  | SALES      || WARD   | SALES      || JONES  | RESEARCH   || MARTIN | SALES      || BLAKE  | SALES      || CLARK  | ACCOUNTING || SCOTT  | RESEARCH   || KING   | ACCOUNTING || TURNER | SALES      || ADAMS  | RESEARCH   || JAMES  | SALES      || FORD   | RESEARCH   || MILLER | ACCOUNTING || NULL   | OPERATIONS |+--------+------------+15 rows in set (0.00 sec)

alike , If it's a left outer connection , All data in the left table will be queried , Use left join Key words can be used

The number of external connection query results must be >= Number of query results connected within

Three meter connection

A more complicated situation is , Group table connection

Let's take a case study ：

Find out the Department name and salary grade of each employee . Ask to show employee name , Department name , Salary , Pay scales

mysql> select    -> e.ename,e.sal,d.dname,s.grade    -> from emp e    -> join dept d    -> on e.deptno = d.deptno    -> join salgrade s    -> on e.sal between s.losal and s.hisal;+--------+---------+------------+-------+| ename  | sal     | dname      | grade |+--------+---------+------------+-------+| SMITH  |  800.00 | RESEARCH   |     1 || ALLEN  | 1600.00 | SALES      |     3 || WARD   | 1250.00 | SALES      |     2 || JONES  | 2975.00 | RESEARCH   |     4 || MARTIN | 1250.00 | SALES      |     2 || BLAKE  | 2850.00 | SALES      |     4 || CLARK  | 2450.00 | ACCOUNTING |     4 || SCOTT  | 3000.00 | RESEARCH   |     4 || KING   | 5000.00 | ACCOUNTING |     5 || TURNER | 1500.00 | SALES      |     3 || ADAMS  | 1100.00 | RESEARCH   |     1 || JAMES  |  950.00 | SALES      |     1 || FORD   | 3000.00 | RESEARCH   |     4 || MILLER | 1300.00 | ACCOUNTING |     2 |+--------+---------+------------+-------+14 rows in set (0.00 sec)

Let's look at a more complicated situation ：

Find out the Department name, salary grade and leader name of each employee . Ask to show employee name , Department name , Name of leader , Salary , Pay scales

mysql> select    -> e.ename,e.sal,d.dname,s.grade,l.ename    -> from emp e    -> join dept d    -> on e.deptno = d.deptno    -> join salgrade s    -> on e.sal between s.losal and s.hisal    -> left join    -> emp l    -> on e.mgr = l.empno;+--------+---------+------------+-------+-------+| ename  | sal     | dname      | grade | ename |+--------+---------+------------+-------+-------+| SMITH  |  800.00 | RESEARCH   |     1 | FORD  || ALLEN  | 1600.00 | SALES      |     3 | BLAKE || WARD   | 1250.00 | SALES      |     2 | BLAKE || JONES  | 2975.00 | RESEARCH   |     4 | KING  || MARTIN | 1250.00 | SALES      |     2 | BLAKE || BLAKE  | 2850.00 | SALES      |     4 | KING  || CLARK  | 2450.00 | ACCOUNTING |     4 | KING  || SCOTT  | 3000.00 | RESEARCH   |     4 | JONES || KING   | 5000.00 | ACCOUNTING |     5 | NULL  || TURNER | 1500.00 | SALES      |     3 | BLAKE || ADAMS  | 1100.00 | RESEARCH   |     1 | SCOTT || JAMES  |  950.00 | SALES      |     1 | BLAKE || FORD   | 3000.00 | RESEARCH   |     4 | JONES || MILLER | 1300.00 | ACCOUNTING |     2 | CLARK |+--------+---------+------------+-------+-------+14 rows in set (0.00 sec)

That's all MySQL A brief introduction to the methods of de duplication and connection query in the database , Of course, we have to use the above differences in detail before we can understand . If you want to know more , Welcome to the Yisu cloud industry information channel ！