query_id
int64
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2.15k
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stringclasses
40 values
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sequencelengths
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stringlengths
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185
answer
stringlengths
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608
difficulty
stringclasses
4 values
0
soccer_3
[ "club" ]
How many clubs are there?
SELECT count(*) FROM club
easy
1
soccer_3
[ "club" ]
Count the number of clubs.
SELECT count(*) FROM club
easy
2
soccer_3
[ "club" ]
List the name of clubs in ascending alphabetical order.
SELECT Name FROM club ORDER BY Name ASC
easy
3
soccer_3
[ "club" ]
What are the names of clubs, ordered alphabetically?
SELECT Name FROM club ORDER BY Name ASC
easy
4
soccer_3
[ "club" ]
What are the managers and captains of clubs?
SELECT Manager , Captain FROM club
medium
5
soccer_3
[ "club" ]
Return the managers and captains of all clubs.
SELECT Manager , Captain FROM club
medium
6
soccer_3
[ "club" ]
List the name of clubs whose manufacturer is not "Nike"
SELECT Name FROM club WHERE Manufacturer != "Nike"
easy
7
soccer_3
[ "club" ]
What are the names of clubs who do not have the manufacturer Nike?
SELECT Name FROM club WHERE Manufacturer != "Nike"
easy
8
soccer_3
[ "player" ]
What are the names of players in ascending order of wins count?
SELECT Name FROM player ORDER BY Wins_count ASC
easy
9
soccer_3
[ "player" ]
Return the names of players in order of count of wins, ascending.
SELECT Name FROM player ORDER BY Wins_count ASC
easy
10
soccer_3
[ "player" ]
What is the name of the player with the highest earnings?
SELECT Name FROM player ORDER BY Earnings DESC LIMIT 1
medium
11
soccer_3
[ "player" ]
Return the name of the player who earns the most money.
SELECT Name FROM player ORDER BY Earnings DESC LIMIT 1
medium
12
soccer_3
[ "player" ]
What are the distinct countries of players with earnings higher than 1200000?
SELECT DISTINCT Country FROM player WHERE Earnings > 1200000
easy
13
soccer_3
[ "player" ]
From which countries are players who make more than 1200000 from?
SELECT DISTINCT Country FROM player WHERE Earnings > 1200000
easy
14
soccer_3
[ "player" ]
What is the country of the player with the highest earnings among players that have more than 2 win counts?
SELECT Country FROM player WHERE Wins_count > 2 ORDER BY Earnings DESC LIMIT 1
hard
15
soccer_3
[ "player" ]
Of players who have more than 2 wins, what is the country of the player who makes the most?
SELECT Country FROM player WHERE Wins_count > 2 ORDER BY Earnings DESC LIMIT 1
hard
16
soccer_3
[ "club", "player" ]
Show names of players and names of clubs they are in.
SELECT T2.Name , T1.Name FROM club AS T1 JOIN player AS T2 ON T1.Club_ID = T2.Club_ID
medium
17
soccer_3
[ "club", "player" ]
What are the names of players and the corresponding clubs that they are in?
SELECT T2.Name , T1.Name FROM club AS T1 JOIN player AS T2 ON T1.Club_ID = T2.Club_ID
medium
18
soccer_3
[ "club", "player" ]
Show names of clubs that have players with more than 2 win counts.
SELECT T1.Name FROM club AS T1 JOIN player AS T2 ON T1.Club_ID = T2.Club_ID WHERE T2.Wins_count > 2
medium
19
soccer_3
[ "club", "player" ]
What are the names of clubs that have players who have won more than twice?
SELECT T1.Name FROM club AS T1 JOIN player AS T2 ON T1.Club_ID = T2.Club_ID WHERE T2.Wins_count > 2
medium
20
soccer_3
[ "club", "player" ]
Show names of players from the club with manager "Sam Allardyce".
SELECT T2.Name FROM club AS T1 JOIN player AS T2 ON T1.Club_ID = T2.Club_ID WHERE T1.Manager = "Sam Allardyce"
medium
21
soccer_3
[ "club", "player" ]
What are the names of players from the club managed by Sam Allardyce?
SELECT T2.Name FROM club AS T1 JOIN player AS T2 ON T1.Club_ID = T2.Club_ID WHERE T1.Manager = "Sam Allardyce"
medium
22
soccer_3
[ "club", "player" ]
Show names of clubs in descending order of average earnings of players belonging.
SELECT T1.Name FROM club AS T1 JOIN player AS T2 ON T1.Club_ID = T2.Club_ID GROUP BY T1.Club_ID ORDER BY avg(T2.Earnings) DESC
hard
23
soccer_3
[ "club", "player" ]
What are the names of clubs, ordered descending by the average earnings of players within each?
SELECT T1.Name FROM club AS T1 JOIN player AS T2 ON T1.Club_ID = T2.Club_ID GROUP BY T1.Club_ID ORDER BY avg(T2.Earnings) DESC
hard
24
soccer_3
[ "club" ]
Show different manufacturers and the number of clubs they are associated with.
SELECT Manufacturer , COUNT(*) FROM club GROUP BY Manufacturer
medium
25
soccer_3
[ "club" ]
How many clubs use each manufacturer?
SELECT Manufacturer , COUNT(*) FROM club GROUP BY Manufacturer
medium
26
soccer_3
[ "club" ]
Please show the most common manufacturer of clubs.
SELECT Manufacturer FROM club GROUP BY Manufacturer ORDER BY COUNT(*) DESC LIMIT 1
hard
27
soccer_3
[ "club" ]
Which manufacturer is most common among clubs?
SELECT Manufacturer FROM club GROUP BY Manufacturer ORDER BY COUNT(*) DESC LIMIT 1
hard
28
soccer_3
[ "club" ]
List the manufacturers that are associated with more than one club.
SELECT Manufacturer FROM club GROUP BY Manufacturer HAVING COUNT(*) > 1
easy
29
soccer_3
[ "club" ]
Which manufacturers work for more than 1 club?
SELECT Manufacturer FROM club GROUP BY Manufacturer HAVING COUNT(*) > 1
easy
30
soccer_3
[ "player" ]
List the country that have more than one player.
SELECT Country FROM player GROUP BY Country HAVING COUNT(*) > 1
easy
31
soccer_3
[ "player" ]
Which countries have produced more than one player?
SELECT Country FROM player GROUP BY Country HAVING COUNT(*) > 1
easy
32
soccer_3
[ "club", "player" ]
List the name of clubs that do not have players.
SELECT Name FROM club WHERE Club_ID NOT IN (SELECT Club_ID FROM player)
hard
33
soccer_3
[ "club", "player" ]
What are the names of clubs that do not have any players?
SELECT Name FROM club WHERE Club_ID NOT IN (SELECT Club_ID FROM player)
hard
34
soccer_3
[ "player" ]
Show the country of players with earnings more than 1400000 and players with earnings less than 1100000.
SELECT Country FROM player WHERE Earnings > 1400000 INTERSECT SELECT Country FROM player WHERE Earnings < 1100000
hard
35
soccer_3
[ "player" ]
Which country has produced both players with earnings over 1400000 and players with earnings below 1100000?
SELECT Country FROM player WHERE Earnings > 1400000 INTERSECT SELECT Country FROM player WHERE Earnings < 1100000
hard
36
soccer_3
[ "player" ]
What is the number of distinct countries of all players?
SELECT COUNT (DISTINCT Country) FROM player
easy
37
soccer_3
[ "player" ]
How many different countries are players from?
SELECT COUNT (DISTINCT Country) FROM player
easy
38
soccer_3
[ "player" ]
Show the earnings of players from country "Australia" or "Zimbabwe".
SELECT Earnings FROM player WHERE Country = "Australia" OR Country = "Zimbabwe"
medium
39
soccer_3
[ "player" ]
What are the earnings of players from either of the countries of Australia or Zimbabwe?
SELECT Earnings FROM player WHERE Country = "Australia" OR Country = "Zimbabwe"
medium
40
e_commerce
[ "Order_items", "Orders", "Customers" ]
List the id, first name and last name of the customers who both have placed more than 2 orders and have bought at least 3 items.
SELECT T1.customer_id , T1.customer_first_name , T1.customer_last_name FROM Customers AS T1 JOIN Orders AS T2 ON T1.customer_id = T2.customer_id GROUP BY T1.customer_id HAVING count(*) > 2 INTERSECT SELECT T1.customer_id , T1.customer_first_name , T1.customer_last_name FROM Customers AS T1 JOIN Orders AS T2 ON T1.customer_id = T2.customer_id JOIN Order_items AS T3 ON T2.order_id = T3.order_id GROUP BY T1.customer_id HAVING count(*) >= 3
extra
41
e_commerce
[ "Order_items", "Orders", "Customers" ]
What are the ids, first and last names of the customers who have ordered more than twice and have bought at least 3 items?
SELECT T1.customer_id , T1.customer_first_name , T1.customer_last_name FROM Customers AS T1 JOIN Orders AS T2 ON T1.customer_id = T2.customer_id GROUP BY T1.customer_id HAVING count(*) > 2 INTERSECT SELECT T1.customer_id , T1.customer_first_name , T1.customer_last_name FROM Customers AS T1 JOIN Orders AS T2 ON T1.customer_id = T2.customer_id JOIN Order_items AS T3 ON T2.order_id = T3.order_id GROUP BY T1.customer_id HAVING count(*) >= 3
extra
42
e_commerce
[ "Order_items", "Orders" ]
For the orders with any produts, how many products does each orders contain ? List the order id, status and the number.
SELECT T1.order_id , T1.order_status_code , count(*) FROM Orders AS T1 JOIN Order_items AS T2 ON T1.order_id = T2.order_id GROUP BY T1.order_id
medium
43
e_commerce
[ "Order_items", "Orders" ]
For every order, how many products does it contain, and what are the orders' statuses and ids?
SELECT T1.order_id , T1.order_status_code , count(*) FROM Orders AS T1 JOIN Order_items AS T2 ON T1.order_id = T2.order_id GROUP BY T1.order_id
medium
44
e_commerce
[ "Order_items", "Orders" ]
List the dates of the orders which were placed at the earliest time or have more than 1 items.
SELECT min(date_order_placed) FROM Orders UNION SELECT T1.date_order_placed FROM Orders AS T1 JOIN Order_items AS T2 ON T1.order_id = T2.order_id GROUP BY T1.order_id HAVING count(*) > 1
hard
45
e_commerce
[ "Order_items", "Orders" ]
What are the dates of the earliest order and the dates of all orders with more than 1 item?
SELECT min(date_order_placed) FROM Orders UNION SELECT T1.date_order_placed FROM Orders AS T1 JOIN Order_items AS T2 ON T1.order_id = T2.order_id GROUP BY T1.order_id HAVING count(*) > 1
hard
46
e_commerce
[ "Orders", "Customers" ]
Which customers did not make any orders? List the first name, middle initial and last name.
SELECT customer_first_name , customer_middle_initial , customer_last_name FROM Customers EXCEPT SELECT T1.customer_first_name , T1.customer_middle_initial , T1.customer_last_name FROM Customers AS T1 JOIN Orders AS T2 ON T1.customer_id = T2.customer_id
extra
47
e_commerce
[ "Orders", "Customers" ]
WHat are the first and last names, and middle initials of all customers who did not make any orders?
SELECT customer_first_name , customer_middle_initial , customer_last_name FROM Customers EXCEPT SELECT T1.customer_first_name , T1.customer_middle_initial , T1.customer_last_name FROM Customers AS T1 JOIN Orders AS T2 ON T1.customer_id = T2.customer_id
extra
48
e_commerce
[ "Order_items", "Orders", "Products" ]
What are the id, name, price and color of the products which have not been ordered for at least twice?
SELECT product_id , product_name , product_price , product_color FROM Products EXCEPT SELECT T1.product_id , T1.product_name , T1.product_price , T1.product_color FROM Products AS T1 JOIN Order_items AS T2 ON T1.product_id = T2.product_id JOIN Orders AS T3 ON T2.order_id = T3.order_id GROUP BY T1.product_id HAVING count(*) >= 2
extra
49
e_commerce
[ "orders", "products", "order_items" ]
What are the ids , names , prices , and colors of all products that have been listed in less than two orders ?
select t1.product_id , t1.product_name , t1.product_price , t1.product_color from products as t1 join order_items as t2 on t1.product_id = t2.product_id join orders as t3 on t2.order_id = t3.order_id group by t1.product_id having count(*) < 2
hard
50
e_commerce
[ "Order_items", "Orders" ]
Which orders have at least 2 products on it? List the order id and date.
SELECT T1.order_id , T1.date_order_placed FROM Orders AS T1 JOIN Order_items AS T2 ON T1.order_id = T2.order_id GROUP BY T1.order_id HAVING count(*) >= 2
medium
51
e_commerce
[ "Order_items", "Orders" ]
What are the ids and dates of the orders with at least two products?
SELECT T1.order_id , T1.date_order_placed FROM Orders AS T1 JOIN Order_items AS T2 ON T1.order_id = T2.order_id GROUP BY T1.order_id HAVING count(*) >= 2
medium
52
e_commerce
[ "Order_items", "Products" ]
Which product are listed in orders most frequently? List the id, product name and price.
SELECT T1.product_id , T1.product_name , T1.product_price FROM Products AS T1 JOIN Order_items AS T2 ON T1.product_id = T2.product_id GROUP BY T1.product_id ORDER BY count(*) DESC LIMIT 1
extra
53
e_commerce
[ "Order_items", "Products" ]
What are the ids, names, and prices of all products that are ordered most frequently?
SELECT T1.product_id , T1.product_name , T1.product_price FROM Products AS T1 JOIN Order_items AS T2 ON T1.product_id = T2.product_id GROUP BY T1.product_id ORDER BY count(*) DESC LIMIT 1
extra
54
e_commerce
[ "Order_items", "Products" ]
Which order have the least sum of the product prices. List the order id and sum.
SELECT T1.order_id , sum(T2.product_price) FROM Order_items AS T1 JOIN Products AS T2 ON T1.product_id = T2.product_id GROUP BY T1.order_id ORDER BY sum(T2.product_price) ASC LIMIT 1
extra
55
e_commerce
[ "products", "order_items" ]
What is the order that total cost the least , and how much is the total cost ?
select t1.order_id , sum(t2.product_price) from order_items as t1 join products as t2 on t1.product_id = t2.product_id group by t1.order_id order by sum(t2.product_price) asc limit 1
extra
56
e_commerce
[ "Customer_Payment_Methods" ]
What is the most popular payment method?
SELECT Payment_method_code FROM Customer_Payment_Methods GROUP BY Payment_method_code ORDER BY count(*) DESC LIMIT 1
hard
57
e_commerce
[ "Customer_Payment_Methods" ]
What is the payment method that most customers use?
SELECT Payment_method_code FROM Customer_Payment_Methods GROUP BY Payment_method_code ORDER BY count(*) DESC LIMIT 1
hard
58
e_commerce
[ "Order_items", "Orders", "Customers" ]
How many number of products does each gender of customers buy? List the gender and the number
SELECT T1.gender_code , count(*) FROM Customers AS T1 JOIN Orders AS T2 ON T1.customer_id = T2.customer_id JOIN Order_items AS T3 ON T2.order_id = T3.order_id GROUP BY T1.gender_code
hard
59
e_commerce
[ "Order_items", "Orders", "Customers" ]
How many products does each gender buy?
SELECT T1.gender_code , count(*) FROM Customers AS T1 JOIN Orders AS T2 ON T1.customer_id = T2.customer_id JOIN Order_items AS T3 ON T2.order_id = T3.order_id GROUP BY T1.gender_code
hard
60
e_commerce
[ "Orders", "Customers" ]
How many orders has each gender of customers placed?
SELECT T1.gender_code , count(*) FROM Customers AS T1 JOIN Orders AS T2 ON T1.customer_id = T2.customer_id GROUP BY T1.gender_code
medium
61
e_commerce
[ "Orders", "Customers" ]
How many orders has each gender placed?
SELECT T1.gender_code , count(*) FROM Customers AS T1 JOIN Orders AS T2 ON T1.customer_id = T2.customer_id GROUP BY T1.gender_code
medium
62
e_commerce
[ "Customer_Payment_Methods", "Customers" ]
List the customers' first name, middle initial, last name and payment methods.
SELECT T1.customer_first_name , T1.customer_middle_initial , T1.customer_last_name , T2.Payment_method_code FROM Customers AS T1 JOIN Customer_Payment_Methods AS T2 ON T1.customer_id = T2.customer_id
medium
63
e_commerce
[ "Customer_Payment_Methods", "Customers" ]
What are the first names, middle initials, last names, and payment methods of all customers?
SELECT T1.customer_first_name , T1.customer_middle_initial , T1.customer_last_name , T2.Payment_method_code FROM Customers AS T1 JOIN Customer_Payment_Methods AS T2 ON T1.customer_id = T2.customer_id
medium
64
e_commerce
[ "Shipments", "Invoices" ]
List the invoices' status, date and the date of shipment.
SELECT T1.invoice_status_code , T1.invoice_date , T2.shipment_date FROM Invoices AS T1 JOIN Shipments AS T2 ON T1.invoice_number = T2.invoice_number
medium
65
e_commerce
[ "Shipments", "Invoices" ]
What are the statuses, dates, and shipment dates for all invoices?
SELECT T1.invoice_status_code , T1.invoice_date , T2.shipment_date FROM Invoices AS T1 JOIN Shipments AS T2 ON T1.invoice_number = T2.invoice_number
medium
66
e_commerce
[ "Order_items", "Products", "Shipments", "Shipment_Items" ]
List the names of the products being shipped and the corresponding shipment date.
SELECT T1.product_name , T4.shipment_date FROM Products AS T1 JOIN Order_items AS T2 ON T1.product_id = T2.product_id JOIN Shipment_Items AS T3 ON T2.order_item_id = T3.order_item_id JOIN Shipments AS T4 ON T3.shipment_id = T4.shipment_id
hard
67
e_commerce
[ "Order_items", "Products", "Shipments", "Shipment_Items" ]
What are the names of the products tht have been shipped, and on what days were they shipped?
SELECT T1.product_name , T4.shipment_date FROM Products AS T1 JOIN Order_items AS T2 ON T1.product_id = T2.product_id JOIN Shipment_Items AS T3 ON T2.order_item_id = T3.order_item_id JOIN Shipments AS T4 ON T3.shipment_id = T4.shipment_id
hard
68
e_commerce
[ "Order_items", "Shipments", "Shipment_Items" ]
What is the status code of the items being ordered and shipped and its corresponding shipment tracking number?
SELECT T1.order_item_status_code , T3.shipment_tracking_number FROM Order_items AS T1 JOIN Shipment_Items AS T2 ON T1.order_item_id = T2.order_item_id JOIN Shipments AS T3 ON T2.shipment_id = T3.shipment_id
medium
69
e_commerce
[ "Order_items", "Shipments", "Shipment_Items" ]
What is the status code of the items have been ordered and shipped, and also what are their shipment tracking numbers?
SELECT T1.order_item_status_code , T3.shipment_tracking_number FROM Order_items AS T1 JOIN Shipment_Items AS T2 ON T1.order_item_id = T2.order_item_id JOIN Shipments AS T3 ON T2.shipment_id = T3.shipment_id
medium
70
e_commerce
[ "Order_items", "Products", "Shipments", "Shipment_Items" ]
What is the product name and the color of the ordered items which have been shipped?
SELECT T1.product_name , T1.product_color FROM Products AS T1 JOIN Order_items AS T2 ON T1.product_id = T2.product_id JOIN Shipment_Items AS T3 ON T2.order_item_id = T3.order_item_id JOIN Shipments AS T4 ON T3.shipment_id = T4.shipment_id
hard
71
e_commerce
[ "Order_items", "Products", "Shipments", "Shipment_Items" ]
What are the names and colors of all products that have been shipped?
SELECT T1.product_name , T1.product_color FROM Products AS T1 JOIN Order_items AS T2 ON T1.product_id = T2.product_id JOIN Shipment_Items AS T3 ON T2.order_item_id = T3.order_item_id JOIN Shipments AS T4 ON T3.shipment_id = T4.shipment_id
hard
72
e_commerce
[ "Order_items", "Orders", "Products", "Customers" ]
List all the distinct product names, price and descriptions which are bought by female customers.
SELECT DISTINCT T1.product_name , T1.product_price , T1.product_description FROM Products AS T1 JOIN Order_items AS T2 ON T1.product_id = T2.product_id JOIN Orders AS T3 ON T2.order_id = T3.order_id JOIN Customers AS T4 ON T3.customer_id = T4.customer_id WHERE T4.gender_code = 'Female'
extra
73
e_commerce
[ "Order_items", "Orders", "Products", "Customers" ]
What are the different names, prices, and descriptions for all products bought by female customers?
SELECT DISTINCT T1.product_name , T1.product_price , T1.product_description FROM Products AS T1 JOIN Order_items AS T2 ON T1.product_id = T2.product_id JOIN Orders AS T3 ON T2.order_id = T3.order_id JOIN Customers AS T4 ON T3.customer_id = T4.customer_id WHERE T4.gender_code = 'Female'
extra
74
e_commerce
[ "Shipments", "Invoices" ]
What are invoices status of all the orders which have not been shipped?
SELECT invoice_status_code FROM Invoices WHERE invoice_number NOT IN ( SELECT invoice_number FROM Shipments )
hard
75
e_commerce
[ "Shipments", "Invoices" ]
What are the invoice statuses for all orderes that have not been shipped out yet?
SELECT invoice_status_code FROM Invoices WHERE invoice_number NOT IN ( SELECT invoice_number FROM Shipments )
hard
76
e_commerce
[ "orders", "products", "order_items" ]
What are the total cost of all the orders ? List the order id , date , and total cost .
select t1.order_id , t1.date_order_placed , sum(t3.product_price) from orders as t1 join order_items as t2 on t1.order_id = t2.order_id join products as t3 on t2.product_id = t3.product_id group by t1.order_id
hard
77
e_commerce
[ "Order_items", "Orders", "Products" ]
For each order, what is its id, date, and total amount paid?
SELECT T1.order_id , T1.date_order_placed , sum(T3.product_price) FROM Orders AS T1 JOIN Order_items AS T2 ON T1.order_id = T2.order_id JOIN Products AS T3 ON T2.product_id = T3.product_id GROUP BY T1.order_id
hard
78
e_commerce
[ "Orders" ]
How many customers have placed any order?
SELECT count(DISTINCT customer_id) FROM Orders
easy
79
e_commerce
[ "Orders" ]
How many different customers have ordered things?
SELECT count(DISTINCT customer_id) FROM Orders
easy
80
e_commerce
[ "Order_items" ]
How many item states are there in the orders?
SELECT count(DISTINCT order_item_status_code) FROM Order_items
easy
81
e_commerce
[ "Order_items" ]
How many different item status codes are there listed in ordered items?
SELECT count(DISTINCT order_item_status_code) FROM Order_items
easy
82
e_commerce
[ "Customer_Payment_Methods" ]
How many different payment methods are there?
SELECT count(DISTINCT Payment_method_code) FROM Customer_Payment_Methods
easy
83
e_commerce
[ "Customer_Payment_Methods" ]
How many different payment methods can customers choose from?
SELECT count(DISTINCT Payment_method_code) FROM Customer_Payment_Methods
easy
84
e_commerce
[ "Customers" ]
What are the login names and passwords of the customers whose phone number have the prefix '+12'?
SELECT login_name , login_password FROM Customers WHERE phone_number LIKE '+12%'
medium
85
e_commerce
[ "Customers" ]
What are the usernames and passwords of all customers whose phone number starts with '+12'?
SELECT login_name , login_password FROM Customers WHERE phone_number LIKE '+12%'
medium
86
e_commerce
[ "Products" ]
What are the product sizes of the products whose name has the substring 'Dell'?
SELECT product_size FROM Products WHERE product_name LIKE '%Dell%'
medium
87
e_commerce
[ "Products" ]
What are the sizes of all products whose name includes the word 'Dell'?
SELECT product_size FROM Products WHERE product_name LIKE '%Dell%'
medium
88
e_commerce
[ "Products" ]
What are the product price and the product size of the products whose price is above average?
SELECT product_price , product_size FROM Products WHERE product_price > ( SELECT avg(product_price) FROM Products )
extra
89
e_commerce
[ "Products" ]
What are the prices and sizes of all products whose price is above the mean?
SELECT product_price , product_size FROM Products WHERE product_price > ( SELECT avg(product_price) FROM Products )
extra
90
e_commerce
[ "Order_items", "Products" ]
How many kinds of products have not been sold?
SELECT count(*) FROM Products WHERE product_id NOT IN ( SELECT product_id FROM Order_items )
extra
91
e_commerce
[ "Order_items", "Products" ]
What is the number of products that have not been ordered yet?
SELECT count(*) FROM Products WHERE product_id NOT IN ( SELECT product_id FROM Order_items )
extra
92
e_commerce
[ "Customer_Payment_Methods", "Customers" ]
How many customers do not have any payment method?
SELECT count(*) FROM Customers WHERE customer_id NOT IN ( SELECT customer_id FROM Customer_Payment_Methods )
extra
93
e_commerce
[ "Customer_Payment_Methods", "Customers" ]
How many customers do not have a listed payment method?
SELECT count(*) FROM Customers WHERE customer_id NOT IN ( SELECT customer_id FROM Customer_Payment_Methods )
extra
94
e_commerce
[ "Orders" ]
What are all the order status and all the dates of orders?
SELECT order_status_code , date_order_placed FROM Orders
medium
95
e_commerce
[ "Orders" ]
What are the status codes and dates placed for all of the orders?
SELECT order_status_code , date_order_placed FROM Orders
medium
96
e_commerce
[ "Customers" ]
List the address, town and county information of the customers who live in the USA.
SELECT address_line_1 , town_city , county FROM Customers WHERE Country = 'USA'
medium
97
e_commerce
[ "Customers" ]
What are the addresses, towns, and county information for all customers who live in the United States?
SELECT address_line_1 , town_city , county FROM Customers WHERE Country = 'USA'
medium
98
e_commerce
[ "Order_items", "Orders", "Products", "Customers" ]
List all the pairs of buyer first names and product names.
SELECT T1.customer_first_name , T4.product_name FROM Customers AS T1 JOIN Orders AS T2 ON T1.customer_id = T2.customer_id JOIN Order_items AS T3 ON T2.order_id = T3.order_id JOIN Products AS T4 ON T3.product_id = T4.product_id
hard
99
e_commerce
[ "Order_items", "Orders", "Products", "Customers" ]
What are the first names of all buyers and what products did they buy? List them in pairs.
SELECT T1.customer_first_name , T4.product_name FROM Customers AS T1 JOIN Orders AS T2 ON T1.customer_id = T2.customer_id JOIN Order_items AS T3 ON T2.order_id = T3.order_id JOIN Products AS T4 ON T3.product_id = T4.product_id
hard