query_id
int64 0
2.15k
| database_id
stringclasses 40
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sequencelengths 1
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stringlengths 22
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stringlengths 22
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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 |