query_id
int64
0
7k
database_id
stringclasses
140 values
table_id
sequencelengths
1
5
query
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