MySQL數據庫學習之去重與連接查詢詳解
1.去重
有些 MySQL 數據表中可能存在重復的記錄,有些情況我們允許重復數據的存在,但有時候我們也需要刪除這些重復的數據。
例如:去重顯示崗位信息:
mysql> select distinct job from emp; +-----------+ | job | +-----------+ | CLERK | | SALESMAN | | MANAGER | | ANALYST | | PRESIDENT | +-----------+ 5 rows in set (0.02 sec)
另一個示例:聯(lián)合去重,查找部門和崗位的獨有信息:
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)
另一個示例:現(xiàn)在我們想統(tǒng)計一下工作崗位的數量,結合使用count函數:
mysql> select count(distinct job) from emp; +---------------------+ | count(distinct job) | +---------------------+ | 5 | +---------------------+ 1 row in set (0.00 sec)
2.連接查詢
我們已經學會了如何在一張表中讀取數據,這是相對簡單的,但是在真正的應用中經常需要從多個數據表中讀取數據。
JOIN 按照功能大致分為如下三類:
INNER JOIN(內連接,或等值連接):獲取兩個表中字段匹配關系的記錄。
LEFT JOIN(左連接):獲取左表所有記錄,即使右表沒有對應匹配的記錄。
RIGHT JOIN(右連接): 與 LEFT JOIN 相反,用于獲取右表所有記錄,即使左表沒有對應匹配的記錄。
多表連接的機制是:從其中一個表中取出每一條數據,從另一個表中的數據行進行匹配。這就涉及到了效率控制問題
使用where進行多表連接查詢
現(xiàn)在我們來演示一個例子:取出每個員工的名字和部門名字:
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)上面的sql語句實際上效率很低,我們嘗試進行優(yōu)化(給表起別名):(sql92語法)
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)注意:表的連接次數越多,效率越低,請盡量減少表的連接次數!
內連接 - 等值連接
還是上面的例子,取出每個員工的名字和部門名字:(sql99語法)
內連接,我們使用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的優(yōu)點是:表的連接是獨立的,不占用where的位置。使sql語句整體更加清晰
內連接 - 非等值連接
案例:找出每個員工的薪資等級,要求顯示員工名,薪資,薪資等級
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)內連接 - 自連接
案例:查詢員工的上級領導,要求顯示員工名和對應的領導名
我們可以發(fā)現(xiàn),員工和領導的關系在一張表中,此時需要用到自連接(技巧:一張表看成兩張表)
mysql> select
-> a.ename as '員工名',b.ename as '領導名'
-> from emp a
-> join emp b
-> on
-> a.mgr = b.empno;
+-----------+-----------+
| 員工名 | 領導名 |
+-----------+-----------+
| 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)外連接 - 左右外連接
外連接與內連接的區(qū)別是,外連接沒有匹配成功的某一個表的記錄也會被取出
案例:查找員工的部門信息。要求部門即使沒有員工也要查出
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)同樣的,如果是左外連接,將查詢出左表的全部數據,使用left join關鍵字即可
外連接的查詢結果條數一定是 >= 內連接的查詢結果條數
三表連接
更為復雜的情況是,群表連接
我們來看一個案例:
找出每個員工的部門名稱及工資等級。要求顯示員工名,部門名,薪資,薪資等級
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)再來看一個更復雜的情況:
找出每個員工的部門名稱及工資等級及領導名稱。要求顯示員工名,部門名,領導名,薪資,薪資等級
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)以上就是MySQL數據庫學習之去重與連接查詢詳解的詳細內容,更多關于MySQL去重 連接查詢的資料請關注腳本之家其它相關文章!

