標籤:結構 資料 company nbsp char 去掉 dep 資訊 val
一 介紹
本節主題
多表串連查詢
複合條件串連查詢
子查詢
準備表
company.employee
company.department
#建表create table department(id int,name varchar(20) );create table employee(id int primary key auto_increment,name varchar(20),sex enum(‘male‘,‘female‘) not null default ‘male‘,age int,dep_id int);#插入資料insert into department values(200,‘技術‘),(201,‘人力資源‘),(202,‘銷售‘),(203,‘運營‘);insert into employee(name,sex,age,dep_id) values(‘egon‘,‘male‘,18,200),(‘alex‘,‘female‘,48,201),(‘wupeiqi‘,‘male‘,38,201),(‘yuanhao‘,‘female‘,28,202),(‘liwenzhou‘,‘male‘,18,200),(‘jingliyang‘,‘female‘,18,204);#查看錶結構和資料mysql> desc department;+-------+-------------+------+-----+---------+-------+| Field | Type | Null | Key | Default | Extra |+-------+-------------+------+-----+---------+-------+| id | int(11) | YES | | NULL | || name | varchar(20) | YES | | NULL | |+-------+-------------+------+-----+---------+-------+mysql> desc employee;+--------+-----------------------+------+-----+---------+----------------+| Field | Type | Null | Key | Default | Extra |+--------+-----------------------+------+-----+---------+----------------+| id | int(11) | NO | PRI | NULL | auto_increment || name | varchar(20) | YES | | NULL | || sex | enum(‘male‘,‘female‘) | NO | | male | || age | int(11) | YES | | NULL | || dep_id | int(11) | YES | | NULL | |+--------+-----------------------+------+-----+---------+----------------+mysql> select * from department;+------+--------------+| id | name |+------+--------------+| 200 | 技術 || 201 | 人力資源 || 202 | 銷售 || 203 | 運營 |+------+--------------+mysql> select * from employee;+----+------------+--------+------+--------+| id | name | sex | age | dep_id |+----+------------+--------+------+--------+| 1 | egon | male | 18 | 200 || 2 | alex | female | 48 | 201 || 3 | wupeiqi | male | 38 | 201 || 4 | yuanhao | female | 28 | 202 || 5 | liwenzhou | male | 18 | 200 || 6 | jingliyang | female | 18 | 204 |+----+------------+--------+------+--------+
二 多表串連查詢
#重點:外連結文法SELECT 欄位列表 FROM 表1 INNER|LEFT|RIGHT JOIN 表2 ON 表1.欄位 = 表2.欄位;
1 交叉串連:不適用任何匹配條件。產生笛卡爾積
mysql> select * from employee,department;+----+------------+--------+------+--------+------+--------------+| id | name | sex | age | dep_id | id | name |+----+------------+--------+------+--------+------+--------------+| 1 | egon | male | 18 | 200 | 200 | 技術 || 1 | egon | male | 18 | 200 | 201 | 人力資源 || 1 | egon | male | 18 | 200 | 202 | 銷售 || 1 | egon | male | 18 | 200 | 203 | 運營 || 2 | alex | female | 48 | 201 | 200 | 技術 || 2 | alex | female | 48 | 201 | 201 | 人力資源 || 2 | alex | female | 48 | 201 | 202 | 銷售 || 2 | alex | female | 48 | 201 | 203 | 運營 || 3 | wupeiqi | male | 38 | 201 | 200 | 技術 || 3 | wupeiqi | male | 38 | 201 | 201 | 人力資源 || 3 | wupeiqi | male | 38 | 201 | 202 | 銷售 || 3 | wupeiqi | male | 38 | 201 | 203 | 運營 || 4 | yuanhao | female | 28 | 202 | 200 | 技術 || 4 | yuanhao | female | 28 | 202 | 201 | 人力資源 || 4 | yuanhao | female | 28 | 202 | 202 | 銷售 || 4 | yuanhao | female | 28 | 202 | 203 | 運營 || 5 | liwenzhou | male | 18 | 200 | 200 | 技術 || 5 | liwenzhou | male | 18 | 200 | 201 | 人力資源 || 5 | liwenzhou | male | 18 | 200 | 202 | 銷售 || 5 | liwenzhou | male | 18 | 200 | 203 | 運營 || 6 | jingliyang | female | 18 | 204 | 200 | 技術 || 6 | jingliyang | female | 18 | 204 | 201 | 人力資源 || 6 | jingliyang | female | 18 | 204 | 202 | 銷售 || 6 | jingliyang | female | 18 | 204 | 203 | 運營 |+----+------------+--------+------+--------+------+--------------+
2 內串連:只串連匹配的行
#找兩張表共有的部分,相當於利用條件從笛卡爾積結果中篩選出了正確的結果#department沒有204這個部門,因而employee表中關於204這條員工資訊沒有匹配出來mysql> select employee.id,employee.name,employee.age,employee.sex,department.name from employee inner join department on employee.dep_id=department.id; +----+-----------+------+--------+--------------+| id | name | age | sex | name |+----+-----------+------+--------+--------------+| 1 | egon | 18 | male | 技術 || 2 | alex | 48 | female | 人力資源 || 3 | wupeiqi | 38 | male | 人力資源 || 4 | yuanhao | 28 | female | 銷售 || 5 | liwenzhou | 18 | male | 技術 |+----+-----------+------+--------+--------------+#上述sql等同於mysql> select employee.id,employee.name,employee.age,employee.sex,department.name from employee,department where employee.dep_id=department.id;
3 外連結之左串連:優先顯示左表全部記錄
#以左表為準,即找出所有員工資訊,當然包括沒有部門的員工#本質就是:在內串連的基礎上增加左邊有右邊沒有的結果mysql> select employee.id,employee.name,department.name as depart_name from employee left join department on employee.dep_id=department.id;+----+------------+--------------+| id | name | depart_name |+----+------------+--------------+| 1 | egon | 技術 || 5 | liwenzhou | 技術 || 2 | alex | 人力資源 || 3 | wupeiqi | 人力資源 || 4 | yuanhao | 銷售 || 6 | jingliyang | NULL |+----+------------+--------------+
4 外連結之右串連:優先顯示右表全部記錄
#以右表為準,即找出所有部門資訊,包括沒有員工的部門#本質就是:在內串連的基礎上增加右邊有左邊沒有的結果mysql> select employee.id,employee.name,department.name as depart_name from employee right join department on employee.dep_id=department.id;+------+-----------+--------------+| id | name | depart_name |+------+-----------+--------------+| 1 | egon | 技術 || 2 | alex | 人力資源 || 3 | wupeiqi | 人力資源 || 4 | yuanhao | 銷售 || 5 | liwenzhou | 技術 || NULL | NULL | 運營 |+------+-----------+--------------+
5 全外串連:顯示左右兩個表全部記錄
全外串連:在內串連的基礎上增加左邊有右邊沒有的和右邊有左邊沒有的結果#注意:mysql不支援全外串連 full JOIN#強調:mysql可以使用此種方式間接實現全外串連select * from employee left join department on employee.dep_id = department.idunionselect * from employee right join department on employee.dep_id = department.id;#查看結果+------+------------+--------+------+--------+------+--------------+| id | name | sex | age | dep_id | id | name |+------+------------+--------+------+--------+------+--------------+| 1 | egon | male | 18 | 200 | 200 | 技術 || 5 | liwenzhou | male | 18 | 200 | 200 | 技術 || 2 | alex | female | 48 | 201 | 201 | 人力資源 || 3 | wupeiqi | male | 38 | 201 | 201 | 人力資源 || 4 | yuanhao | female | 28 | 202 | 202 | 銷售 || 6 | jingliyang | female | 18 | 204 | NULL | NULL || NULL | NULL | NULL | NULL | NULL | 203 | 運營 |+------+------------+--------+------+--------+------+--------------+#注意 union與union all的區別:union會去掉相同的紀錄
三 符合條件串連查詢
#樣本1:以內串連的方式查詢employee和department表,並且employee表中的age欄位值必須大於25,即找出公司所有部門中年齡大於25歲的員工select employee.name,employee.age from employee,department where employee.dep_id = department.id and age > 25;#樣本2:以內串連的方式查詢employee和department表,並且以age欄位的升序方式顯示select employee.id,employee.name,employee.age,department.name from employee,department where employee.dep_id = department.id and age > 25 order by age asc;
四 子查詢
#1:子查詢是將一個查詢語句嵌套在另一個查詢語句中。#2:內層查詢語句的查詢結果,可以為外層查詢語句提供查詢條件。#3:子查詢中可以包含:IN、NOT IN、ANY、ALL、EXISTS 和 NOT EXISTS等關鍵字#4:還可以包含比較子:= 、 !=、> 、<等
1 帶IN關鍵字的子查詢
#查詢employee表,但dep_id必須在department表中出現過select * from employee where dep_id in (select id from department);
2 帶比較子的子查詢
#比較子:=、!=、>、>=、<、<=、<>#查詢平均年齡在25歲以上的部門名select id,name from department where id in (select dep_id from employee group by dep_id having avg(age) > 25);#查看技術部員工姓名select name from employee where dep_id in (select id from department where name=‘技術‘);#查看不足1人的部門名select name from department where id in (select dep_id from employee group by dep_id having count(id) <=1);
3 帶EXISTS關鍵字的子查詢
EXISTS關字鍵字表示存在。在使用EXISTS關鍵字時,內層查詢語句不返回查詢的記錄。
而是返回一個真假值。True或False
當返回True時,外層查詢語句將進行查詢;當傳回值為False時,外層查詢語句不進行查詢
#department表中存在dept_id=203,Turemysql> select * from employee -> where exists -> (select id from department where id=200);+----+------------+--------+------+--------+| id | name | sex | age | dep_id |+----+------------+--------+------+--------+| 1 | egon | male | 18 | 200 || 2 | alex | female | 48 | 201 || 3 | wupeiqi | male | 38 | 201 || 4 | yuanhao | female | 28 | 202 || 5 | liwenzhou | male | 18 | 200 || 6 | jingliyang | female | 18 | 204 |+----+------------+--------+------+--------+#department表中存在dept_id=205,Falsemysql> select * from employee -> where exists -> (select id from department where id=204);Empty set (0.00 sec)
五 綜合練習 init.sql
#準備表、記錄mysql> create database db1;mysql> use db1;mysql> source /root/init.sql
!!!重中之重:練習之前務必搞清楚sql邏輯查詢語句的執行順序
連結:http://www.cnblogs.com/liluning/p/7490116.html
題目
參考答案:http://www.cnblogs.com/wupeiqi/articles/5748496.html
mysql-多表查詢