query_id
int64 0
7k
| database_id
stringclasses 140
values | table_id
sequencelengths 1
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stringlengths 16
224
| answer
stringlengths 18
577
| difficulty
stringclasses 4
values |
---|---|---|---|---|---|
4,700 | college_3 | [
"COURSE"
] | Find the names of courses that have either 3 credits or 1 credit but 4 hours. | SELECT CName FROM COURSE WHERE Credits = 3 UNION SELECT CName FROM COURSE WHERE Credits = 1 AND Hours = 4 | hard |
4,701 | college_3 | [
"COURSE"
] | What are the names of courses that give either 3 credits, or 1 credit and 4 hours? | SELECT CName FROM COURSE WHERE Credits = 3 UNION SELECT CName FROM COURSE WHERE Credits = 1 AND Hours = 4 | hard |
4,702 | college_3 | [
"DEPARTMENT"
] | Find the names of departments that are either in division AS or in division EN and in Building NEB. | SELECT DName FROM DEPARTMENT WHERE Division = "AS" UNION SELECT DName FROM DEPARTMENT WHERE Division = "EN" AND Building = "NEB" | hard |
4,703 | college_3 | [
"DEPARTMENT"
] | What are the names of departments either in division AS, or in division EN and in building NEB? | SELECT DName FROM DEPARTMENT WHERE Division = "AS" UNION SELECT DName FROM DEPARTMENT WHERE Division = "EN" AND Building = "NEB" | hard |
4,704 | college_3 | [
"ENROLLED_IN",
"STUDENT"
] | Find the first name of students not enrolled in any course. | SELECT Fname FROM STUDENT WHERE StuID NOT IN (SELECT StuID FROM ENROLLED_IN) | hard |
4,705 | college_3 | [
"ENROLLED_IN",
"STUDENT"
] | What are the first names of all students that are not enrolled in courses? | SELECT Fname FROM STUDENT WHERE StuID NOT IN (SELECT StuID FROM ENROLLED_IN) | hard |
4,706 | department_store | [
"product_suppliers"
] | What are the ids of the top three products that were purchased in the largest amount? | SELECT product_id FROM product_suppliers ORDER BY total_amount_purchased DESC LIMIT 3 | medium |
4,707 | department_store | [
"product_suppliers"
] | Give the ids of the three products purchased in the largest amounts. | SELECT product_id FROM product_suppliers ORDER BY total_amount_purchased DESC LIMIT 3 | medium |
4,708 | department_store | [
"products"
] | What are the product id and product type of the cheapest product? | SELECT product_id , product_type_code FROM products ORDER BY product_price LIMIT 1 | medium |
4,709 | department_store | [
"products"
] | Give the id and product type of the product with the lowest price. | SELECT product_id , product_type_code FROM products ORDER BY product_price LIMIT 1 | medium |
4,710 | department_store | [
"products"
] | Find the number of different product types. | SELECT count(DISTINCT product_type_code) FROM products | easy |
4,711 | department_store | [
"products"
] | Count the number of distinct product types. | SELECT count(DISTINCT product_type_code) FROM products | easy |
4,712 | department_store | [
"addresses",
"customer_addresses"
] | Return the address of customer 10. | SELECT T1.address_details FROM addresses AS T1 JOIN customer_addresses AS T2 ON T1.address_id = T2.address_id WHERE T2.customer_id = 10 | medium |
4,713 | department_store | [
"addresses",
"customer_addresses"
] | What is the address for the customer with id 10? | SELECT T1.address_details FROM addresses AS T1 JOIN customer_addresses AS T2 ON T1.address_id = T2.address_id WHERE T2.customer_id = 10 | medium |
4,714 | department_store | [
"staff_department_assignments",
"staff"
] | What are the staff ids and genders of all staffs whose job title is Department Manager? | SELECT T1.staff_id , T1.staff_gender FROM staff AS T1 JOIN staff_department_assignments AS T2 ON T1.staff_id = T2.staff_id WHERE T2.job_title_code = "Department Manager" | medium |
4,715 | department_store | [
"staff_department_assignments",
"staff"
] | Return the staff ids and genders for any staff with the title Department Manager. | SELECT T1.staff_id , T1.staff_gender FROM staff AS T1 JOIN staff_department_assignments AS T2 ON T1.staff_id = T2.staff_id WHERE T2.job_title_code = "Department Manager" | medium |
4,716 | department_store | [
"customers"
] | For each payment method, return how many customers use it. | SELECT payment_method_code , count(*) FROM customers GROUP BY payment_method_code | medium |
4,717 | department_store | [
"customers"
] | How many customers use each payment method? | SELECT payment_method_code , count(*) FROM customers GROUP BY payment_method_code | medium |
4,718 | department_store | [
"order_items"
] | What is the id of the product that was ordered the most often? | SELECT product_id FROM order_items GROUP BY product_id ORDER BY count(*) DESC LIMIT 1 | hard |
4,719 | department_store | [
"order_items"
] | Give the product id for the product that was ordered most frequently. | SELECT product_id FROM order_items GROUP BY product_id ORDER BY count(*) DESC LIMIT 1 | hard |
4,720 | department_store | [
"customer_orders",
"customers"
] | What are the name, phone number and email address of the customer who made the largest number of orders? | SELECT T1.customer_name , T1.customer_phone , T1.customer_email FROM customers AS T1 JOIN customer_orders AS T2 ON T1.customer_id = T2.customer_id GROUP BY T2.customer_id ORDER BY count(*) DESC LIMIT 1 | extra |
4,721 | department_store | [
"customer_orders",
"customers"
] | Return the name, phone number and email address for the customer with the most orders. | SELECT T1.customer_name , T1.customer_phone , T1.customer_email FROM customers AS T1 JOIN customer_orders AS T2 ON T1.customer_id = T2.customer_id GROUP BY T2.customer_id ORDER BY count(*) DESC LIMIT 1 | extra |
4,722 | department_store | [
"products"
] | What is the average price for each type of product? | SELECT product_type_code , avg(product_price) FROM products GROUP BY product_type_code | medium |
4,723 | department_store | [
"products"
] | Return the average price for each product type. | SELECT product_type_code , avg(product_price) FROM products GROUP BY product_type_code | medium |
4,724 | department_store | [
"department_store_chain",
"department_stores"
] | How many department stores does the store chain South have? | SELECT count(*) FROM department_stores AS T1 JOIN department_store_chain AS T2 ON T1.dept_store_chain_id = T2.dept_store_chain_id WHERE T2.dept_store_chain_name = "South" | medium |
4,725 | department_store | [
"department_store_chain",
"department_stores"
] | Count the number of stores the chain South has. | SELECT count(*) FROM department_stores AS T1 JOIN department_store_chain AS T2 ON T1.dept_store_chain_id = T2.dept_store_chain_id WHERE T2.dept_store_chain_name = "South" | medium |
4,726 | department_store | [
"staff_department_assignments",
"staff"
] | What is the name and job title of the staff who was assigned the latest? | SELECT T1.staff_name , T2.job_title_code FROM staff AS T1 JOIN staff_department_assignments AS T2 ON T1.staff_id = T2.staff_id ORDER BY T2.date_assigned_to DESC LIMIT 1 | hard |
4,727 | department_store | [
"staff_department_assignments",
"staff"
] | Return the name and job title of the staff with the latest date assigned. | SELECT T1.staff_name , T2.job_title_code FROM staff AS T1 JOIN staff_department_assignments AS T2 ON T1.staff_id = T2.staff_id ORDER BY T2.date_assigned_to DESC LIMIT 1 | hard |
4,728 | department_store | [
"products",
"product_suppliers"
] | Give me the product type, name and price for all the products supplied by supplier id 3. | SELECT T2.product_type_code , T2.product_name , T2.product_price FROM product_suppliers AS T1 JOIN products AS T2 ON T1.product_id = T2.product_id WHERE T1.supplier_id = 3 | medium |
4,729 | department_store | [
"products",
"product_suppliers"
] | Return the product type, name, and price for products supplied by supplier 3. | SELECT T2.product_type_code , T2.product_name , T2.product_price FROM product_suppliers AS T1 JOIN products AS T2 ON T1.product_id = T2.product_id WHERE T1.supplier_id = 3 | medium |
4,730 | department_store | [
"customer_orders",
"customers"
] | Return the distinct name of customers whose order status is Pending, in the order of customer id. | SELECT DISTINCT T1.customer_name FROM customers AS T1 JOIN customer_orders AS T2 ON T1.customer_id = T2.customer_id WHERE T2.order_status_code = "Pending" ORDER BY T2.customer_id | hard |
4,731 | department_store | [
"customer_orders",
"customers"
] | What are the distinct names of customers with an order status of Pending, sorted by customer id? | SELECT DISTINCT T1.customer_name FROM customers AS T1 JOIN customer_orders AS T2 ON T1.customer_id = T2.customer_id WHERE T2.order_status_code = "Pending" ORDER BY T2.customer_id | hard |
4,732 | department_store | [
"customer_orders",
"customers"
] | Find the name and address of the customers who have both New and Pending orders. | SELECT T1.customer_name , T1.customer_address FROM customers AS T1 JOIN customer_orders AS T2 ON T1.customer_id = T2.customer_id WHERE T2.order_status_code = "New" INTERSECT SELECT T1.customer_name , T1.customer_address FROM customers AS T1 JOIN customer_orders AS T2 ON T1.customer_id = T2.customer_id WHERE T2.order_status_code = "Pending" | extra |
4,733 | department_store | [
"customer_orders",
"customers"
] | What are the names and addressed of customers who have both New and Pending orders? | SELECT T1.customer_name , T1.customer_address FROM customers AS T1 JOIN customer_orders AS T2 ON T1.customer_id = T2.customer_id WHERE T2.order_status_code = "New" INTERSECT SELECT T1.customer_name , T1.customer_address FROM customers AS T1 JOIN customer_orders AS T2 ON T1.customer_id = T2.customer_id WHERE T2.order_status_code = "Pending" | extra |
4,734 | department_store | [
"products",
"product_suppliers"
] | Return ids of all the products that are supplied by supplier id 2 and are more expensive than the average price of all products. | SELECT T1.product_id FROM product_suppliers AS T1 JOIN products AS T2 ON T1.product_id = T2.product_id WHERE T1.supplier_id = 2 AND T2.product_price > (SELECT avg(product_price) FROM products) | extra |
4,735 | department_store | [
"products",
"product_suppliers"
] | What are the ids of products from the supplier with id 2, which are more expensive than the average price across all products? | SELECT T1.product_id FROM product_suppliers AS T1 JOIN products AS T2 ON T1.product_id = T2.product_id WHERE T1.supplier_id = 2 AND T2.product_price > (SELECT avg(product_price) FROM products) | extra |
4,736 | department_store | [
"departments",
"department_stores"
] | What is the id and name of the department store that has both marketing and managing department? | SELECT T2.dept_store_id , T2.store_name FROM departments AS T1 JOIN department_stores AS T2 ON T1.dept_store_id = T2.dept_store_id WHERE T1.department_name = "marketing" INTERSECT SELECT T2.dept_store_id , T2.store_name FROM departments AS T1 JOIN department_stores AS T2 ON T1.dept_store_id = T2.dept_store_id WHERE T1.department_name = "managing" | extra |
4,737 | department_store | [
"departments",
"department_stores"
] | What are the ids and names of department stores with both marketing and managing departments? | SELECT T2.dept_store_id , T2.store_name FROM departments AS T1 JOIN department_stores AS T2 ON T1.dept_store_id = T2.dept_store_id WHERE T1.department_name = "marketing" INTERSECT SELECT T2.dept_store_id , T2.store_name FROM departments AS T1 JOIN department_stores AS T2 ON T1.dept_store_id = T2.dept_store_id WHERE T1.department_name = "managing" | extra |
4,738 | department_store | [
"department_stores"
] | What are the ids of the two department store chains with the largest number of department stores? | SELECT dept_store_chain_id FROM department_stores GROUP BY dept_store_chain_id ORDER BY count(*) DESC LIMIT 2 | hard |
4,739 | department_store | [
"department_stores"
] | Return the ids of the two department store chains with the most department stores. | SELECT dept_store_chain_id FROM department_stores GROUP BY dept_store_chain_id ORDER BY count(*) DESC LIMIT 2 | hard |
4,740 | department_store | [
"staff_department_assignments"
] | What is the id of the department with the least number of staff? | SELECT department_id FROM staff_department_assignments GROUP BY department_id ORDER BY count(*) LIMIT 1 | hard |
4,741 | department_store | [
"staff_department_assignments"
] | Return the id of the department with the fewest staff assignments. | SELECT department_id FROM staff_department_assignments GROUP BY department_id ORDER BY count(*) LIMIT 1 | hard |
4,742 | department_store | [
"products"
] | For each product type, return the maximum and minimum price. | SELECT product_type_code , max(product_price) , min(product_price) FROM products GROUP BY product_type_code | medium |
4,743 | department_store | [
"products"
] | What are the maximum and minimum product prices for each product type? | SELECT product_type_code , max(product_price) , min(product_price) FROM products GROUP BY product_type_code | medium |
4,744 | department_store | [
"products"
] | Find the product type whose average price is higher than the average price of all products. | SELECT product_type_code FROM products GROUP BY product_type_code HAVING avg(product_price) > (SELECT avg(product_price) FROM products) | hard |
4,745 | department_store | [
"products"
] | What is the code of the product type with an average price higher than the average price of all products? | SELECT product_type_code FROM products GROUP BY product_type_code HAVING avg(product_price) > (SELECT avg(product_price) FROM products) | hard |
4,746 | department_store | [
"Staff_Department_Assignments",
"staff"
] | Find the id and name of the staff who has been assigned for the shortest period. | SELECT T1.staff_id , T1.staff_name FROM staff AS T1 JOIN Staff_Department_Assignments AS T2 ON T1.staff_id = T2.staff_id ORDER BY date_assigned_to - date_assigned_from LIMIT 1 | hard |
4,747 | department_store | [
"Staff_Department_Assignments",
"staff"
] | What is the id and name of the staff who has been assigned for the least amount of time? | SELECT T1.staff_id , T1.staff_name FROM staff AS T1 JOIN Staff_Department_Assignments AS T2 ON T1.staff_id = T2.staff_id ORDER BY date_assigned_to - date_assigned_from LIMIT 1 | hard |
4,748 | department_store | [
"products"
] | Return the names and ids of all products whose price is between 600 and 700. | SELECT product_name , product_id FROM products WHERE product_price BETWEEN 600 AND 700 | medium |
4,749 | department_store | [
"products"
] | What are the names and ids of products costing between 600 and 700? | SELECT product_name , product_id FROM products WHERE product_price BETWEEN 600 AND 700 | medium |
4,750 | department_store | [
"Customer_Orders"
] | Find the ids of all distinct customers who made order after some orders that were Cancelled. | SELECT DISTINCT customer_id FROM Customer_Orders WHERE order_date > (SELECT min(order_date) FROM Customer_Orders WHERE order_status_code = "Cancelled") | hard |
4,751 | department_store | [
"Customer_Orders"
] | What are the distinct ids of customers who made an order after any order that was Cancelled? | SELECT DISTINCT customer_id FROM Customer_Orders WHERE order_date > (SELECT min(order_date) FROM Customer_Orders WHERE order_status_code = "Cancelled") | hard |
4,752 | department_store | [
"Staff_Department_Assignments"
] | What is id of the staff who had a Staff Department Assignment earlier than any Clerical Staff? | SELECT staff_id FROM Staff_Department_Assignments WHERE date_assigned_to < (SELECT max(date_assigned_to) FROM Staff_Department_Assignments WHERE job_title_code = 'Clerical Staff') | hard |
4,753 | department_store | [
"Staff_Department_Assignments"
] | Return the id of the staff whose Staff Department Assignment was earlier than that of any Clerical Staff. | SELECT staff_id FROM Staff_Department_Assignments WHERE date_assigned_to < (SELECT max(date_assigned_to) FROM Staff_Department_Assignments WHERE job_title_code = 'Clerical Staff') | hard |
4,754 | department_store | [
"customers"
] | What are the names and ids of customers whose address contains TN? | SELECT customer_name , customer_id FROM customers WHERE customer_address LIKE "%TN%" | medium |
4,755 | department_store | [
"customers"
] | Return the names and ids of customers who have TN in their address. | SELECT customer_name , customer_id FROM customers WHERE customer_address LIKE "%TN%" | medium |
4,756 | department_store | [
"staff_department_assignments",
"staff"
] | Return the name and gender of the staff who was assigned in 2016. | SELECT T1.staff_name , T1.staff_gender FROM staff AS T1 JOIN staff_department_assignments AS T2 ON T1.staff_id = T2.staff_id WHERE T2.date_assigned_from LIKE "2016%" | hard |
4,757 | department_store | [
"staff_department_assignments",
"staff"
] | What are the names and genders of staff who were assigned in 2016? | SELECT T1.staff_name , T1.staff_gender FROM staff AS T1 JOIN staff_department_assignments AS T2 ON T1.staff_id = T2.staff_id WHERE T2.date_assigned_from LIKE "2016%" | hard |
4,758 | department_store | [
"staff_department_assignments",
"staff"
] | List the name of staff who has been assigned multiple jobs. | SELECT T1.staff_name FROM staff AS T1 JOIN staff_department_assignments AS T2 ON T1.staff_id = T2.staff_id GROUP BY T2.staff_id HAVING COUNT (*) > 1 | medium |
4,759 | department_store | [
"staff_department_assignments",
"staff"
] | What are the names of staff who have been assigned multiple jobs? | SELECT T1.staff_name FROM staff AS T1 JOIN staff_department_assignments AS T2 ON T1.staff_id = T2.staff_id GROUP BY T2.staff_id HAVING COUNT (*) > 1 | medium |
4,760 | department_store | [
"supplier_addresses",
"Suppliers",
"addresses"
] | List the name and phone number of all suppliers in the alphabetical order of their addresses. | SELECT T1.supplier_name , T1.supplier_phone FROM Suppliers AS T1 JOIN supplier_addresses AS T2 ON T1.supplier_id = T2.supplier_id JOIN addresses AS T3 ON T2.address_id = T3.address_id ORDER BY T3.address_details | hard |
4,761 | department_store | [
"supplier_addresses",
"Suppliers",
"addresses"
] | What are the names and phone numbers for all suppliers, sorted in alphabetical order of their addressed? | SELECT T1.supplier_name , T1.supplier_phone FROM Suppliers AS T1 JOIN supplier_addresses AS T2 ON T1.supplier_id = T2.supplier_id JOIN addresses AS T3 ON T2.address_id = T3.address_id ORDER BY T3.address_details | hard |
4,762 | department_store | [
"customers",
"suppliers"
] | What are the phone numbers of all customers and suppliers. | SELECT customer_phone FROM customers UNION SELECT supplier_phone FROM suppliers | hard |
4,763 | department_store | [
"customers",
"suppliers"
] | Return the phone numbers for all customers and suppliers. | SELECT customer_phone FROM customers UNION SELECT supplier_phone FROM suppliers | hard |
4,764 | department_store | [
"Product_Suppliers",
"Order_Items"
] | Return the ids of all products that were ordered more than three times or supplied more than 80000. | SELECT product_id FROM Order_Items GROUP BY product_id HAVING count(*) > 3 UNION SELECT product_id FROM Product_Suppliers GROUP BY product_id HAVING sum(total_amount_purchased) > 80000 | hard |
4,765 | department_store | [
"Product_Suppliers",
"Order_Items"
] | What are the ids of all products that were either ordered more than 3 times or have a cumulative amount purchased of above 80000? | SELECT product_id FROM Order_Items GROUP BY product_id HAVING count(*) > 3 UNION SELECT product_id FROM Product_Suppliers GROUP BY product_id HAVING sum(total_amount_purchased) > 80000 | hard |
4,766 | department_store | [
"products"
] | What are id and name of the products whose price is lower than 600 or higher than 900? | SELECT product_id , product_name FROM products WHERE product_price < 600 OR product_price > 900 | extra |
4,767 | department_store | [
"products"
] | Give the ids and names of products with price lower than 600 or higher than 900. | SELECT product_id , product_name FROM products WHERE product_price < 600 OR product_price > 900 | extra |
4,768 | department_store | [
"Product_Suppliers"
] | Find the id of suppliers whose average amount purchased for each product is above 50000 or below 30000. | SELECT supplier_id FROM Product_Suppliers GROUP BY supplier_id HAVING avg(total_amount_purchased) > 50000 OR avg(total_amount_purchased) < 30000 | medium |
4,769 | department_store | [
"Product_Suppliers"
] | What are the ids of suppliers which have an average amount purchased of above 50000 or below 30000? | SELECT supplier_id FROM Product_Suppliers GROUP BY supplier_id HAVING avg(total_amount_purchased) > 50000 OR avg(total_amount_purchased) < 30000 | medium |
4,770 | department_store | [
"Product_Suppliers"
] | What are the average amount purchased and value purchased for the supplier who supplies the most products. | SELECT avg(total_amount_purchased) , avg(total_value_purchased) FROM Product_Suppliers WHERE supplier_id = (SELECT supplier_id FROM Product_Suppliers GROUP BY supplier_id ORDER BY count(*) DESC LIMIT 1) | extra |
4,771 | department_store | [
"Product_Suppliers"
] | Return the average total amount purchased and total value purchased for the supplier who supplies the greatest number of products. | SELECT avg(total_amount_purchased) , avg(total_value_purchased) FROM Product_Suppliers WHERE supplier_id = (SELECT supplier_id FROM Product_Suppliers GROUP BY supplier_id ORDER BY count(*) DESC LIMIT 1) | extra |
4,772 | department_store | [
"Customers"
] | What is the largest and smallest customer codes? | SELECT max(customer_code) , min(customer_code) FROM Customers | medium |
4,773 | department_store | [
"Customers"
] | Return the maximum and minimum customer codes. | SELECT max(customer_code) , min(customer_code) FROM Customers | medium |
4,774 | department_store | [
"products",
"customer_orders",
"customers",
"order_items"
] | List the names of all the distinct customers who bought a keyboard. | SELECT DISTINCT T1.customer_name FROM customers AS T1 JOIN customer_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 WHERE T4.product_name = "keyboard" | extra |
4,775 | department_store | [
"products",
"customer_orders",
"customers",
"order_items"
] | What are the distinct names of customers who have purchased a keyboard? | SELECT DISTINCT T1.customer_name FROM customers AS T1 JOIN customer_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 WHERE T4.product_name = "keyboard" | extra |
4,776 | department_store | [
"products",
"suppliers",
"product_suppliers"
] | List the names and phone numbers of all the distinct suppliers who supply red jeans. | SELECT DISTINCT T1.supplier_name , T1.supplier_phone FROM suppliers AS T1 JOIN product_suppliers AS T2 ON T1.supplier_id = T2.supplier_id JOIN products AS T3 ON T2.product_id = T3.product_id WHERE T3.product_name = "red jeans" | hard |
4,777 | department_store | [
"products",
"suppliers",
"product_suppliers"
] | What are the distinct names and phone numbers for suppliers who have red jeans? | SELECT DISTINCT T1.supplier_name , T1.supplier_phone FROM suppliers AS T1 JOIN product_suppliers AS T2 ON T1.supplier_id = T2.supplier_id JOIN products AS T3 ON T2.product_id = T3.product_id WHERE T3.product_name = "red jeans" | hard |
4,778 | department_store | [
"products"
] | What are the highest and lowest prices of products, grouped by and alphabetically ordered by product type? | SELECT max(product_price) , min(product_price) , product_type_code FROM products GROUP BY product_type_code ORDER BY product_type_code | extra |
4,779 | department_store | [
"products"
] | Give the maximum and minimum product prices for each product type, grouped and ordered by product type. | SELECT max(product_price) , min(product_price) , product_type_code FROM products GROUP BY product_type_code ORDER BY product_type_code | extra |
4,780 | department_store | [
"customer_orders"
] | List the order id, customer id for orders in Cancelled status, ordered by their order dates. | SELECT order_id , customer_id FROM customer_orders WHERE order_status_code = "Cancelled" ORDER BY order_date | medium |
4,781 | department_store | [
"customer_orders"
] | What are the order ids and customer ids for orders that have been Cancelled, sorted by their order dates? | SELECT order_id , customer_id FROM customer_orders WHERE order_status_code = "Cancelled" ORDER BY order_date | medium |
4,782 | department_store | [
"products",
"customer_orders",
"order_items"
] | Find the names of products that were bought by at least two distinct customers. | SELECT DISTINCT T3.product_name FROM customer_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 T3.product_id HAVING COUNT (DISTINCT T1.customer_id) >= 2 | hard |
4,783 | department_store | [
"products",
"customer_orders",
"order_items"
] | What are the distinct names of products purchased by at least two different customers? | SELECT DISTINCT T3.product_name FROM customer_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 T3.product_id HAVING COUNT (DISTINCT T1.customer_id) >= 2 | hard |
4,784 | department_store | [
"customer_orders",
"customers",
"order_items"
] | Find the names of customers who have bought by at least three distinct products. | SELECT DISTINCT T1.customer_name FROM customers AS T1 JOIN customer_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 (DISTINCT T3.product_id) >= 3 | hard |
4,785 | department_store | [
"customer_orders",
"customers",
"order_items"
] | What are the distinct names of customers who have purchased at least three different products? | SELECT DISTINCT T1.customer_name FROM customers AS T1 JOIN customer_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 (DISTINCT T3.product_id) >= 3 | hard |
4,786 | department_store | [
"Staff_Department_Assignments",
"staff"
] | Find the name and gender of the staff who has been assigned the job of Sales Person but never Clerical Staff. | SELECT T1.staff_name , T1.staff_gender FROM staff AS T1 JOIN Staff_Department_Assignments AS T2 ON T1.staff_id = T2.staff_id WHERE T2.job_title_code = "Sales Person" EXCEPT SELECT T1.staff_name , T1.staff_gender FROM staff AS T1 JOIN Staff_Department_Assignments AS T2 ON T1.staff_id = T2.staff_id WHERE T2.job_title_code = "Clerical Staff" | extra |
4,787 | department_store | [
"Staff_Department_Assignments",
"staff"
] | What are the names and genders of staff who have held the title Sales Person, but never Clerical Staff? | SELECT T1.staff_name , T1.staff_gender FROM staff AS T1 JOIN Staff_Department_Assignments AS T2 ON T1.staff_id = T2.staff_id WHERE T2.job_title_code = "Sales Person" EXCEPT SELECT T1.staff_name , T1.staff_gender FROM staff AS T1 JOIN Staff_Department_Assignments AS T2 ON T1.staff_id = T2.staff_id WHERE T2.job_title_code = "Clerical Staff" | extra |
4,788 | department_store | [
"customers"
] | Find the id and name of customers whose address contains WY state and do not use credit card for payment. | SELECT customer_id , customer_name FROM customers WHERE customer_address LIKE "%WY%" AND payment_method_code != "Credit Card" | extra |
4,789 | department_store | [
"customers"
] | What are the ids and names of customers with addressed that contain WY and who do not use a credit card for payment? | SELECT customer_id , customer_name FROM customers WHERE customer_address LIKE "%WY%" AND payment_method_code != "Credit Card" | extra |
4,790 | department_store | [
"products"
] | Find the average price of all product clothes. | SELECT avg(product_price) FROM products WHERE product_type_code = 'Clothes' | easy |
4,791 | department_store | [
"products"
] | What is the average price of clothes? | SELECT avg(product_price) FROM products WHERE product_type_code = 'Clothes' | easy |
4,792 | department_store | [
"products"
] | Find the name of the most expensive hardware product. | SELECT product_name FROM products WHERE product_type_code = 'Hardware' ORDER BY product_price DESC LIMIT 1 | hard |
4,793 | department_store | [
"products"
] | What is the name of the hardware product with the greatest price? | SELECT product_name FROM products WHERE product_type_code = 'Hardware' ORDER BY product_price DESC LIMIT 1 | hard |
4,794 | aircraft | [
"aircraft"
] | How many aircrafts are there? | SELECT count(*) FROM aircraft | easy |
4,795 | aircraft | [
"aircraft"
] | What is the number of aircraft? | SELECT count(*) FROM aircraft | easy |
4,796 | aircraft | [
"aircraft"
] | List the description of all aircrafts. | SELECT Description FROM aircraft | easy |
4,797 | aircraft | [
"aircraft"
] | What are the descriptions for the aircrafts? | SELECT Description FROM aircraft | easy |
4,798 | aircraft | [
"airport"
] | What is the average number of international passengers of all airports? | SELECT avg(International_Passengers) FROM airport | easy |
4,799 | aircraft | [
"airport"
] | What is the average number of international passengers for an airport? | SELECT avg(International_Passengers) FROM airport | easy |
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