如何聯合“DISTINCT”和“COUNT”查詢語句,以便檢視 MySQL 表格列中的每個不同值出現的情況?
可以。您可以將聚合函式 COUNT(*) 與 GROUP BY 子句一起使用。首先建立一個 −
mysql> create table DemoTable1425 -> ( -> JoiningYear int -> ); Query OK, 0 rows affected (0.76 sec)
使用 insert 在表中插入一些記錄 −
mysql> insert into DemoTable1425 values(2000); Query OK, 1 row affected (0.15 sec) mysql> insert into DemoTable1425 values(2010); Query OK, 1 row affected (0.24 sec) mysql> insert into DemoTable1425 values(2015); Query OK, 1 row affected (0.12 sec) mysql> insert into DemoTable1425 values(2000); Query OK, 1 row affected (0.14 sec) mysql> insert into DemoTable1425 values(2010); Query OK, 1 row affected (0.14 sec) mysql> insert into DemoTable1425 values(2000); Query OK, 1 row affected (0.11 sec) mysql> insert into DemoTable1425 values(2010); Query OK, 1 row affected (0.10 sec)
使用 select 顯示錶中的所有記錄 −
mysql> select * from DemoTable1425;
將生成以下輸出 −
+-------------+ | JoiningYear | +-------------+ | 2000 | | 2010 | | 2015 | | 2000 | | 2010 | | 2000 | | 2010 | +-------------+ 7 rows in set (0.00 sec)
以下是檢視每個不同值出現次數的查詢 −
mysql> select JoiningYear,count(*) from DemoTable1425 group by JoiningYear;
將生成以下輸出 −
+-------------+----------+ | JoiningYear | count(*) | +-------------+----------+ | 2000 | 3 | | 2010 | 3 | | 2015 | 1 | +-------------+----------+ 3 rows in set (0.00
廣告
資料結構
網路
RDBMS
作業系統
Java
iOS
HTML
CSS
Android
Python
C 程式語言
C++
C#
MongoDB
MySQL
Javascript
PHP