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MySQL使用集合函数进行查询操作实例详解

程志伟 人气:0
这篇文章主要介绍了MySQL使用集合函数进行查询操作,结合实例形式详细分析了MySQL使用集合函数进行的运算与查询操作使用技巧,需要的朋友可以参考下

本文实例讲述了MySQL使用集合函数进行查询操作。分享给大家供大家参考,具体如下:

COUNT函数

SELECT COUNT(*) AS cust_num from customers;
SELECT COUNT(c_email) AS email_num FROM customers;
SELECT o_num, COUNT(f_id) FROM orderitems GROUP BY o_num;

SUM函数

SELECT SUM(quantity) AS items_total FROM orderitems WHERE o_num = 30005;
SELECT o_num, SUM(quantity) AS items_total FROM orderitems GROUP BY o_num;

AVG函数

SELECT AVG(f_price) AS avg_price FROM fruits WHERE s_id = 103;
SELECT AVG(f_price) AS avg_price FROM fruits group by s_id;

MAX函数

SELECT MAX(f_price) AS max_price FROM fruits;
SELECT s_id, MAX(f_price) AS max_price FROM fruits GROUP BY s_id;
SELECT MAX(f_name) from fruits;

MIN函数

SELECT MIN(f_price) AS min_price FROM fruits;
SELECT s_id, MIN(f_price) AS min_price FROM fruits GROUP BY s_id;

【例.34】查询customers表中总的行数

SELECT COUNT(*) AS cust_num from customers;

【例.35】查询customers表中有电子邮箱的顾客的总数,输入如下语句:

SELECT COUNT(c_email) AS email_num
FROM customers;

【例.36】在orderitems表中,使用COUNT()函数统计不同订单号中订购的水果种类

SELECT o_num, COUNT(f_id) FROM orderitems GROUP BY o_num;

【例.37】在orderitems表中查询30005号订单一共购买的水果总量,输入如下语句:

SELECT SUM(quantity) AS items_total
FROM orderitems
WHERE o_num = 30005;

【例.38】在orderitems表中,使用SUM()函数统计不同订单号中订购的水果总量

SELECT o_num, SUM(quantity) AS items_total
FROM orderitems
GROUP BY o_num;

【例.39】在fruits表中,查询s_id=103的供应商的水果价格的平均值,SQL语句如下:

SELECT AVG(f_price) AS avg_price
FROM fruits
WHERE s_id = 103;

【例.40】在fruits表中,查询每一个供应商的水果价格的平均值,SQL语句如下:

SELECT s_id,AVG(f_price) AS avg_price
FROM fruits
GROUP BY s_id;

【例.41】在fruits表中查找市场上价格最高的水果,SQL语句如下:

mysql>SELECT MAX(f_price) AS max_price FROM fruits;

【例7.42】在fruits表中查找不同供应商提供的价格最高的水果

SELECT s_id, MAX(f_price) AS max_price
FROM fruits
GROUP BY s_id;

【例.43】在fruits表中查找f_name的最大值,SQL语句如下

SELECT MAX(f_name) from fruits;

【例.44】在fruits表中查找市场上价格最低的水果,SQL语句如下:

mysql>SELECT MIN(f_price) AS min_price FROM fruits;

【例.45】在fruits表中查找不同供应商提供的价格最低的水果

SELECT s_id, MIN(f_price) AS min_price
FROM fruits
GROUP BY s_id;

希望本文所述对大家MySQL数据库计有所帮助。

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