Table of contents
MAX()/MIN() Find the maximum and minimum values
Numerical processing functions
Data deduplication
Distinct data deduplication
Filter out non-duplicate vend_id from Products.
#去除重复值
SELECT DISTINCT vend_id
FROM Products;
aggregate function
AVG() returns the average
SELECT AVG(prod_price) AS avg_price
FROM Products;
SUM() aggregate summation
SELECT SUM(quantity) AS items_ordered
FROM OrderItems
WHERE order_num = 20005;
COUNT() returns the number
#count(*)返回所有值,包括null
SELECT COUNT(*) AS num_cust
FROM Customers;
#count(字段名)只返回该字段不为null的值
SELECT COUNT(cust_email) AS num_cust
FROM Customers;
MAX()/MIN() Find the maximum and minimum values
SELECT MAX(prod_price) AS max_price
FROM Products;
SELECT dt,
COUNT(*) AS num_items,
MIN(prod_price) AS price_min,
MAX(prod_price) AS price_max,
AVG(prod_price) AS price_avg
FROM Products
GROUP BY dt;
Numerical processing functions
Numerical processing functions mainly convert numerical data into remainders, absolute values, cosine values, tangent values, etc. The specific usage is as follows:
SELECT dt,
COUNT(*) AS num_items,
MOD(prod_price) AS price_mod,
ROUND(prod_price) AS price_round,
ABS(prod_price) AS price_abs,
SQRT(prod_price) AS price_sqrt
FROM Products
GROUP BY dt;
condition filter
Usage of WHERE
SELECT prod_name, prod_price FROM Products
WHERE prod_price = 3.49;
#AND
SELECT prod_id, prod_price, prod_name
FROM Products
WHERE vend_id = 'DLL01' AND prod_price <= 4;
#OR
SELECT prod_name, prod_price
FROM Products
WHERE vend_id = 'DLL01' OR vend_id = ‘BRS01’;
IN usage
SELECT prod_name, prod_price
FROM Products
WHERE vend_id IN ( 'DLL01', 'BRS01' )
ORDER BY prod_name;
LIKE related wildcards
1.% wildcard
#查找有bean bag的字段
SELECT prod_id, prod_name
FROM Products
WHERE prod_name LIKE '%bean bag%';
2._Underscore wildcard
SELECT prod_id, prod_name
FROM Products
WHERE prod_name LIKE '__ inch teddy bear';
3. [] wildcard
#寻找J或M开头的姓名
SELECT cust_contact
FROM Customers
WHERE cust_contact LIKE '[JM]%'
ORDER BY cust_contact;
#此通配符之前加一个括号可以表示否定,即寻找不是J或M开头的人
SELECT cust_contact
FROM Customers
WHERE cust_contact LIKE '[^JM]%' ORDER BY cust_contact; •
HAVING packet filtering
#对价格为4元以上的商品统计其被购买次数,并筛选出被购买两次以上的商品
SELECT vend_id, COUNT(*) AS num_prods
FROM Products
WHERE prod_price >= 4
GROUP BY vend_id
HAVING COUNT(*) >= 2;
data sorting
ORDER BY data sorting
SELECT prod_id, prod_price, prod_name
FROM Products
ORDER BY prod_price DESC, prod_name;
#分组查询过滤排序
SELECT order_num, COUNT(*) AS items FROM OrderItems
GROUP BY order_num
HAVING COUNT(*) >= 3
ORDER BY items, order_num;