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Pipable Inc 11

CREATE TABLE Addresses (address_id number, address_content text, city text, zip_postcode text, state_province_county text, country text, other_address_details text); CREATE TABLE Products (product_id number, product_details text); CREATE TABLE Customers (customer_id number, payment_method text, customer_name text, date_became_customer time, other_customer_details text); CREATE TABLE Customer_Addresses (customer_id number, address_id number, date_address_from time, address_type text, date_address_to time); CREATE TABLE Customer_Contact_Channels (customer_id number, channel_code text, active_from_date time, active_to_date time, contact_number text); CREATE TABLE Customer_Orders (order_id number, customer_id number, order_status text, order_date time, order_details text); CREATE TABLE Order_Items (order_id number, product_id number, order_quantity text);

Return the the "active to date" of the latest contact channel used by the customer named "Tillman Ernser".

SELECT max(t2.active_to_date) FROM customers AS t1 JOIN customer_contact_channels AS t2 ON t1.customer_id = t2.customer_id WHERE t1.customer_name = "Tillman Ernser"

medium

CREATE TABLE Addresses (address_id number, address_content text, city text, zip_postcode text, state_province_county text, country text, other_address_details text); CREATE TABLE Products (product_id number, product_details text); CREATE TABLE Customers (customer_id number, payment_method text, customer_name text, date_became_customer time, other_customer_details text); CREATE TABLE Customer_Addresses (customer_id number, address_id number, date_address_from time, address_type text, date_address_to time); CREATE TABLE Customer_Contact_Channels (customer_id number, channel_code text, active_from_date time, active_to_date time, contact_number text); CREATE TABLE Customer_Orders (order_id number, customer_id number, order_status text, order_date time, order_details text); CREATE TABLE Order_Items (order_id number, product_id number, order_quantity text);

What is the average time span of contact channels in the database?

SELECT avg(active_to_date - active_from_date) FROM customer_contact_channels

easy

CREATE TABLE Addresses (address_id number, address_content text, city text, zip_postcode text, state_province_county text, country text, other_address_details text); CREATE TABLE Products (product_id number, product_details text); CREATE TABLE Customers (customer_id number, payment_method text, customer_name text, date_became_customer time, other_customer_details text); CREATE TABLE Customer_Addresses (customer_id number, address_id number, date_address_from time, address_type text, date_address_to time); CREATE TABLE Customer_Contact_Channels (customer_id number, channel_code text, active_from_date time, active_to_date time, contact_number text); CREATE TABLE Customer_Orders (order_id number, customer_id number, order_status text, order_date time, order_details text); CREATE TABLE Order_Items (order_id number, product_id number, order_quantity text);

Compute the average active time span of contact channels.

SELECT avg(active_to_date - active_from_date) FROM customer_contact_channels

easy

CREATE TABLE Addresses (address_id number, address_content text, city text, zip_postcode text, state_province_county text, country text, other_address_details text); CREATE TABLE Products (product_id number, product_details text); CREATE TABLE Customers (customer_id number, payment_method text, customer_name text, date_became_customer time, other_customer_details text); CREATE TABLE Customer_Addresses (customer_id number, address_id number, date_address_from time, address_type text, date_address_to time); CREATE TABLE Customer_Contact_Channels (customer_id number, channel_code text, active_from_date time, active_to_date time, contact_number text); CREATE TABLE Customer_Orders (order_id number, customer_id number, order_status text, order_date time, order_details text); CREATE TABLE Order_Items (order_id number, product_id number, order_quantity text);

What is the channel code and contact number of the customer contact channel that was active for the longest time?

SELECT channel_code , contact_number FROM customer_contact_channels WHERE active_to_date - active_from_date = (SELECT active_to_date - active_from_date FROM customer_contact_channels ORDER BY (active_to_date - active_from_date) DESC LIMIT 1)

extra

CREATE TABLE Addresses (address_id number, address_content text, city text, zip_postcode text, state_province_county text, country text, other_address_details text); CREATE TABLE Products (product_id number, product_details text); CREATE TABLE Customers (customer_id number, payment_method text, customer_name text, date_became_customer time, other_customer_details text); CREATE TABLE Customer_Addresses (customer_id number, address_id number, date_address_from time, address_type text, date_address_to time); CREATE TABLE Customer_Contact_Channels (customer_id number, channel_code text, active_from_date time, active_to_date time, contact_number text); CREATE TABLE Customer_Orders (order_id number, customer_id number, order_status text, order_date time, order_details text); CREATE TABLE Order_Items (order_id number, product_id number, order_quantity text);

Return the channel code and contact number of the customer contact channel whose active duration was the longest.

SELECT channel_code , contact_number FROM customer_contact_channels WHERE active_to_date - active_from_date = (SELECT active_to_date - active_from_date FROM customer_contact_channels ORDER BY (active_to_date - active_from_date) DESC LIMIT 1)

extra

CREATE TABLE Addresses (address_id number, address_content text, city text, zip_postcode text, state_province_county text, country text, other_address_details text); CREATE TABLE Products (product_id number, product_details text); CREATE TABLE Customers (customer_id number, payment_method text, customer_name text, date_became_customer time, other_customer_details text); CREATE TABLE Customer_Addresses (customer_id number, address_id number, date_address_from time, address_type text, date_address_to time); CREATE TABLE Customer_Contact_Channels (customer_id number, channel_code text, active_from_date time, active_to_date time, contact_number text); CREATE TABLE Customer_Orders (order_id number, customer_id number, order_status text, order_date time, order_details text); CREATE TABLE Order_Items (order_id number, product_id number, order_quantity text);

Find the name and active date of the customer that use email as the contact channel.

SELECT t1.customer_name , t2.active_from_date FROM customers AS t1 JOIN customer_contact_channels AS t2 ON t1.customer_id = t2.customer_id WHERE t2.channel_code = 'Email'

medium

CREATE TABLE Addresses (address_id number, address_content text, city text, zip_postcode text, state_province_county text, country text, other_address_details text); CREATE TABLE Products (product_id number, product_details text); CREATE TABLE Customers (customer_id number, payment_method text, customer_name text, date_became_customer time, other_customer_details text); CREATE TABLE Customer_Addresses (customer_id number, address_id number, date_address_from time, address_type text, date_address_to time); CREATE TABLE Customer_Contact_Channels (customer_id number, channel_code text, active_from_date time, active_to_date time, contact_number text); CREATE TABLE Customer_Orders (order_id number, customer_id number, order_status text, order_date time, order_details text); CREATE TABLE Order_Items (order_id number, product_id number, order_quantity text);

What are the name and active date of the customers whose contact channel code is email?

SELECT t1.customer_name , t2.active_from_date FROM customers AS t1 JOIN customer_contact_channels AS t2 ON t1.customer_id = t2.customer_id WHERE t2.channel_code = 'Email'

medium

CREATE TABLE Addresses (address_id number, address_content text, city text, zip_postcode text, state_province_county text, country text, other_address_details text); CREATE TABLE Products (product_id number, product_details text); CREATE TABLE Customers (customer_id number, payment_method text, customer_name text, date_became_customer time, other_customer_details text); CREATE TABLE Customer_Addresses (customer_id number, address_id number, date_address_from time, address_type text, date_address_to time); CREATE TABLE Customer_Contact_Channels (customer_id number, channel_code text, active_from_date time, active_to_date time, contact_number text); CREATE TABLE Customer_Orders (order_id number, customer_id number, order_status text, order_date time, order_details text); CREATE TABLE Order_Items (order_id number, product_id number, order_quantity text);

What is the name of the customer that made the order with the largest quantity?

SELECT 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 WHERE t3.order_quantity = ( SELECT max(order_quantity) FROM order_items)

extra

CREATE TABLE Addresses (address_id number, address_content text, city text, zip_postcode text, state_province_county text, country text, other_address_details text); CREATE TABLE Products (product_id number, product_details text); CREATE TABLE Customers (customer_id number, payment_method text, customer_name text, date_became_customer time, other_customer_details text); CREATE TABLE Customer_Addresses (customer_id number, address_id number, date_address_from time, address_type text, date_address_to time); CREATE TABLE Customer_Contact_Channels (customer_id number, channel_code text, active_from_date time, active_to_date time, contact_number text); CREATE TABLE Customer_Orders (order_id number, customer_id number, order_status text, order_date time, order_details text); CREATE TABLE Order_Items (order_id number, product_id number, order_quantity text);

Find the name of the customer who made the order of the largest amount of goods.

SELECT 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 WHERE t3.order_quantity = ( SELECT max(order_quantity) FROM order_items)

extra

CREATE TABLE Addresses (address_id number, address_content text, city text, zip_postcode text, state_province_county text, country text, other_address_details text); CREATE TABLE Products (product_id number, product_details text); CREATE TABLE Customers (customer_id number, payment_method text, customer_name text, date_became_customer time, other_customer_details text); CREATE TABLE Customer_Addresses (customer_id number, address_id number, date_address_from time, address_type text, date_address_to time); CREATE TABLE Customer_Contact_Channels (customer_id number, channel_code text, active_from_date time, active_to_date time, contact_number text); CREATE TABLE Customer_Orders (order_id number, customer_id number, order_status text, order_date time, order_details text); CREATE TABLE Order_Items (order_id number, product_id number, order_quantity text);

What is the name of the customer that has purchased the most items?

SELECT 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_name ORDER BY sum(t3.order_quantity) DESC LIMIT 1

extra

CREATE TABLE Addresses (address_id number, address_content text, city text, zip_postcode text, state_province_county text, country text, other_address_details text); CREATE TABLE Products (product_id number, product_details text); CREATE TABLE Customers (customer_id number, payment_method text, customer_name text, date_became_customer time, other_customer_details text); CREATE TABLE Customer_Addresses (customer_id number, address_id number, date_address_from time, address_type text, date_address_to time); CREATE TABLE Customer_Contact_Channels (customer_id number, channel_code text, active_from_date time, active_to_date time, contact_number text); CREATE TABLE Customer_Orders (order_id number, customer_id number, order_status text, order_date time, order_details text); CREATE TABLE Order_Items (order_id number, product_id number, order_quantity text);

Give me the name of the customer who ordered the most items in total.

SELECT 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_name ORDER BY sum(t3.order_quantity) DESC LIMIT 1

extra

CREATE TABLE Addresses (address_id number, address_content text, city text, zip_postcode text, state_province_county text, country text, other_address_details text); CREATE TABLE Products (product_id number, product_details text); CREATE TABLE Customers (customer_id number, payment_method text, customer_name text, date_became_customer time, other_customer_details text); CREATE TABLE Customer_Addresses (customer_id number, address_id number, date_address_from time, address_type text, date_address_to time); CREATE TABLE Customer_Contact_Channels (customer_id number, channel_code text, active_from_date time, active_to_date time, contact_number text); CREATE TABLE Customer_Orders (order_id number, customer_id number, order_status text, order_date time, order_details text); CREATE TABLE Order_Items (order_id number, product_id number, order_quantity text);

What is the payment method of the customer that has purchased the least quantity of items?

SELECT t1.payment_method 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_name ORDER BY sum(t3.order_quantity) LIMIT 1

extra

CREATE TABLE Addresses (address_id number, address_content text, city text, zip_postcode text, state_province_county text, country text, other_address_details text); CREATE TABLE Products (product_id number, product_details text); CREATE TABLE Customers (customer_id number, payment_method text, customer_name text, date_became_customer time, other_customer_details text); CREATE TABLE Customer_Addresses (customer_id number, address_id number, date_address_from time, address_type text, date_address_to time); CREATE TABLE Customer_Contact_Channels (customer_id number, channel_code text, active_from_date time, active_to_date time, contact_number text); CREATE TABLE Customer_Orders (order_id number, customer_id number, order_status text, order_date time, order_details text); CREATE TABLE Order_Items (order_id number, product_id number, order_quantity text);

Tell me the payment method used by the customer who ordered the least amount of goods in total.

SELECT t1.payment_method 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_name ORDER BY sum(t3.order_quantity) LIMIT 1

extra

CREATE TABLE Addresses (address_id number, address_content text, city text, zip_postcode text, state_province_county text, country text, other_address_details text); CREATE TABLE Products (product_id number, product_details text); CREATE TABLE Customers (customer_id number, payment_method text, customer_name text, date_became_customer time, other_customer_details text); CREATE TABLE Customer_Addresses (customer_id number, address_id number, date_address_from time, address_type text, date_address_to time); CREATE TABLE Customer_Contact_Channels (customer_id number, channel_code text, active_from_date time, active_to_date time, contact_number text); CREATE TABLE Customer_Orders (order_id number, customer_id number, order_status text, order_date time, order_details text); CREATE TABLE Order_Items (order_id number, product_id number, order_quantity text);

How many types of products have Rodrick Heaney bought in total?

SELECT count(DISTINCT t3.product_id) 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 WHERE t1.customer_name = "Rodrick Heaney"

hard

CREATE TABLE Addresses (address_id number, address_content text, city text, zip_postcode text, state_province_county text, country text, other_address_details text); CREATE TABLE Products (product_id number, product_details text); CREATE TABLE Customers (customer_id number, payment_method text, customer_name text, date_became_customer time, other_customer_details text); CREATE TABLE Customer_Addresses (customer_id number, address_id number, date_address_from time, address_type text, date_address_to time); CREATE TABLE Customer_Contact_Channels (customer_id number, channel_code text, active_from_date time, active_to_date time, contact_number text); CREATE TABLE Customer_Orders (order_id number, customer_id number, order_status text, order_date time, order_details text); CREATE TABLE Order_Items (order_id number, product_id number, order_quantity text);

Find the number of distinct products Rodrick Heaney has bought so far.

SELECT count(DISTINCT t3.product_id) 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 WHERE t1.customer_name = "Rodrick Heaney"

hard

CREATE TABLE Addresses (address_id number, address_content text, city text, zip_postcode text, state_province_county text, country text, other_address_details text); CREATE TABLE Products (product_id number, product_details text); CREATE TABLE Customers (customer_id number, payment_method text, customer_name text, date_became_customer time, other_customer_details text); CREATE TABLE Customer_Addresses (customer_id number, address_id number, date_address_from time, address_type text, date_address_to time); CREATE TABLE Customer_Contact_Channels (customer_id number, channel_code text, active_from_date time, active_to_date time, contact_number text); CREATE TABLE Customer_Orders (order_id number, customer_id number, order_status text, order_date time, order_details text); CREATE TABLE Order_Items (order_id number, product_id number, order_quantity text);

What is the total quantity of products purchased by "Rodrick Heaney"?

SELECT sum(t3.order_quantity) 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 WHERE t1.customer_name = "Rodrick Heaney"

hard

CREATE TABLE Addresses (address_id number, address_content text, city text, zip_postcode text, state_province_county text, country text, other_address_details text); CREATE TABLE Products (product_id number, product_details text); CREATE TABLE Customers (customer_id number, payment_method text, customer_name text, date_became_customer time, other_customer_details text); CREATE TABLE Customer_Addresses (customer_id number, address_id number, date_address_from time, address_type text, date_address_to time); CREATE TABLE Customer_Contact_Channels (customer_id number, channel_code text, active_from_date time, active_to_date time, contact_number text); CREATE TABLE Customer_Orders (order_id number, customer_id number, order_status text, order_date time, order_details text); CREATE TABLE Order_Items (order_id number, product_id number, order_quantity text);

Tell me the total quantity of products bought by the customer called "Rodrick Heaney".

SELECT sum(t3.order_quantity) 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 WHERE t1.customer_name = "Rodrick Heaney"

hard

CREATE TABLE Addresses (address_id number, address_content text, city text, zip_postcode text, state_province_county text, country text, other_address_details text); CREATE TABLE Products (product_id number, product_details text); CREATE TABLE Customers (customer_id number, payment_method text, customer_name text, date_became_customer time, other_customer_details text); CREATE TABLE Customer_Addresses (customer_id number, address_id number, date_address_from time, address_type text, date_address_to time); CREATE TABLE Customer_Contact_Channels (customer_id number, channel_code text, active_from_date time, active_to_date time, contact_number text); CREATE TABLE Customer_Orders (order_id number, customer_id number, order_status text, order_date time, order_details text); CREATE TABLE Order_Items (order_id number, product_id number, order_quantity text);

How many customers have at least one order with status "Cancelled"?

SELECT count(DISTINCT customer_id) FROM customer_orders WHERE order_status = "Cancelled"

easy

CREATE TABLE Addresses (address_id number, address_content text, city text, zip_postcode text, state_province_county text, country text, other_address_details text); CREATE TABLE Products (product_id number, product_details text); CREATE TABLE Customers (customer_id number, payment_method text, customer_name text, date_became_customer time, other_customer_details text); CREATE TABLE Customer_Addresses (customer_id number, address_id number, date_address_from time, address_type text, date_address_to time); CREATE TABLE Customer_Contact_Channels (customer_id number, channel_code text, active_from_date time, active_to_date time, contact_number text); CREATE TABLE Customer_Orders (order_id number, customer_id number, order_status text, order_date time, order_details text); CREATE TABLE Order_Items (order_id number, product_id number, order_quantity text);

Return the number of customers who have at least one order with "Cancelled" status.

SELECT count(DISTINCT customer_id) FROM customer_orders WHERE order_status = "Cancelled"

easy

CREATE TABLE Addresses (address_id number, address_content text, city text, zip_postcode text, state_province_county text, country text, other_address_details text); CREATE TABLE Products (product_id number, product_details text); CREATE TABLE Customers (customer_id number, payment_method text, customer_name text, date_became_customer time, other_customer_details text); CREATE TABLE Customer_Addresses (customer_id number, address_id number, date_address_from time, address_type text, date_address_to time); CREATE TABLE Customer_Contact_Channels (customer_id number, channel_code text, active_from_date time, active_to_date time, contact_number text); CREATE TABLE Customer_Orders (order_id number, customer_id number, order_status text, order_date time, order_details text); CREATE TABLE Order_Items (order_id number, product_id number, order_quantity text);

How many orders have detail "Second time"?

SELECT count(*) FROM customer_orders WHERE order_details = "Second time"

easy

CREATE TABLE Addresses (address_id number, address_content text, city text, zip_postcode text, state_province_county text, country text, other_address_details text); CREATE TABLE Products (product_id number, product_details text); CREATE TABLE Customers (customer_id number, payment_method text, customer_name text, date_became_customer time, other_customer_details text); CREATE TABLE Customer_Addresses (customer_id number, address_id number, date_address_from time, address_type text, date_address_to time); CREATE TABLE Customer_Contact_Channels (customer_id number, channel_code text, active_from_date time, active_to_date time, contact_number text); CREATE TABLE Customer_Orders (order_id number, customer_id number, order_status text, order_date time, order_details text); CREATE TABLE Order_Items (order_id number, product_id number, order_quantity text);

Tell me the number of orders with "Second time" as order detail.

SELECT count(*) FROM customer_orders WHERE order_details = "Second time"

easy

CREATE TABLE Addresses (address_id number, address_content text, city text, zip_postcode text, state_province_county text, country text, other_address_details text); CREATE TABLE Products (product_id number, product_details text); CREATE TABLE Customers (customer_id number, payment_method text, customer_name text, date_became_customer time, other_customer_details text); CREATE TABLE Customer_Addresses (customer_id number, address_id number, date_address_from time, address_type text, date_address_to time); CREATE TABLE Customer_Contact_Channels (customer_id number, channel_code text, active_from_date time, active_to_date time, contact_number text); CREATE TABLE Customer_Orders (order_id number, customer_id number, order_status text, order_date time, order_details text); CREATE TABLE Order_Items (order_id number, product_id number, order_quantity text);

Find the customer name and date of the orders that have the status "Delivered".

SELECT t1.customer_name , t2.order_date FROM customers AS t1 JOIN customer_orders AS t2 ON t1.customer_id = t2.customer_id WHERE order_status = "Delivered"

medium

CREATE TABLE Addresses (address_id number, address_content text, city text, zip_postcode text, state_province_county text, country text, other_address_details text); CREATE TABLE Products (product_id number, product_details text); CREATE TABLE Customers (customer_id number, payment_method text, customer_name text, date_became_customer time, other_customer_details text); CREATE TABLE Customer_Addresses (customer_id number, address_id number, date_address_from time, address_type text, date_address_to time); CREATE TABLE Customer_Contact_Channels (customer_id number, channel_code text, active_from_date time, active_to_date time, contact_number text); CREATE TABLE Customer_Orders (order_id number, customer_id number, order_status text, order_date time, order_details text); CREATE TABLE Order_Items (order_id number, product_id number, order_quantity text);

What are the customer name and date of the orders whose status is "Delivered".

SELECT t1.customer_name , t2.order_date FROM customers AS t1 JOIN customer_orders AS t2 ON t1.customer_id = t2.customer_id WHERE order_status = "Delivered"

medium

CREATE TABLE Addresses (address_id number, address_content text, city text, zip_postcode text, state_province_county text, country text, other_address_details text); CREATE TABLE Products (product_id number, product_details text); CREATE TABLE Customers (customer_id number, payment_method text, customer_name text, date_became_customer time, other_customer_details text); CREATE TABLE Customer_Addresses (customer_id number, address_id number, date_address_from time, address_type text, date_address_to time); CREATE TABLE Customer_Contact_Channels (customer_id number, channel_code text, active_from_date time, active_to_date time, contact_number text); CREATE TABLE Customer_Orders (order_id number, customer_id number, order_status text, order_date time, order_details text); CREATE TABLE Order_Items (order_id number, product_id number, order_quantity text);

What is the total number of products that are in orders with status "Cancelled"?

SELECT sum(t2.order_quantity) FROM customer_orders AS t1 JOIN order_items AS t2 ON t1.order_id = t2.order_id WHERE t1.order_status = "Cancelled"

medium

CREATE TABLE Addresses (address_id number, address_content text, city text, zip_postcode text, state_province_county text, country text, other_address_details text); CREATE TABLE Products (product_id number, product_details text); CREATE TABLE Customers (customer_id number, payment_method text, customer_name text, date_became_customer time, other_customer_details text); CREATE TABLE Customer_Addresses (customer_id number, address_id number, date_address_from time, address_type text, date_address_to time); CREATE TABLE Customer_Contact_Channels (customer_id number, channel_code text, active_from_date time, active_to_date time, contact_number text); CREATE TABLE Customer_Orders (order_id number, customer_id number, order_status text, order_date time, order_details text); CREATE TABLE Order_Items (order_id number, product_id number, order_quantity text);

Find the total quantity of products associated with the orders in the "Cancelled" status.

SELECT sum(t2.order_quantity) FROM customer_orders AS t1 JOIN order_items AS t2 ON t1.order_id = t2.order_id WHERE t1.order_status = "Cancelled"

medium

CREATE TABLE Addresses (address_id number, address_content text, city text, zip_postcode text, state_province_county text, country text, other_address_details text); CREATE TABLE Products (product_id number, product_details text); CREATE TABLE Customers (customer_id number, payment_method text, customer_name text, date_became_customer time, other_customer_details text); CREATE TABLE Customer_Addresses (customer_id number, address_id number, date_address_from time, address_type text, date_address_to time); CREATE TABLE Customer_Contact_Channels (customer_id number, channel_code text, active_from_date time, active_to_date time, contact_number text); CREATE TABLE Customer_Orders (order_id number, customer_id number, order_status text, order_date time, order_details text); CREATE TABLE Order_Items (order_id number, product_id number, order_quantity text);

Find the total amount of products ordered before 2018-03-17 07:13:53.

SELECT sum(t2.order_quantity) FROM customer_orders AS t1 JOIN order_items AS t2 ON t1.order_id = t2.order_id WHERE t1.order_date < "2018-03-17 07:13:53"

medium

CREATE TABLE Addresses (address_id number, address_content text, city text, zip_postcode text, state_province_county text, country text, other_address_details text); CREATE TABLE Products (product_id number, product_details text); CREATE TABLE Customers (customer_id number, payment_method text, customer_name text, date_became_customer time, other_customer_details text); CREATE TABLE Customer_Addresses (customer_id number, address_id number, date_address_from time, address_type text, date_address_to time); CREATE TABLE Customer_Contact_Channels (customer_id number, channel_code text, active_from_date time, active_to_date time, contact_number text); CREATE TABLE Customer_Orders (order_id number, customer_id number, order_status text, order_date time, order_details text); CREATE TABLE Order_Items (order_id number, product_id number, order_quantity text);

What is the total amount of products purchased before 2018-03-17 07:13:53?

SELECT sum(t2.order_quantity) FROM customer_orders AS t1 JOIN order_items AS t2 ON t1.order_id = t2.order_id WHERE t1.order_date < "2018-03-17 07:13:53"

medium

CREATE TABLE Addresses (address_id number, address_content text, city text, zip_postcode text, state_province_county text, country text, other_address_details text); CREATE TABLE Products (product_id number, product_details text); CREATE TABLE Customers (customer_id number, payment_method text, customer_name text, date_became_customer time, other_customer_details text); CREATE TABLE Customer_Addresses (customer_id number, address_id number, date_address_from time, address_type text, date_address_to time); CREATE TABLE Customer_Contact_Channels (customer_id number, channel_code text, active_from_date time, active_to_date time, contact_number text); CREATE TABLE Customer_Orders (order_id number, customer_id number, order_status text, order_date time, order_details text); CREATE TABLE Order_Items (order_id number, product_id number, order_quantity text);

Who made the latest order?

SELECT t1.customer_name FROM customers AS t1 JOIN customer_orders AS t2 ON t1.customer_id = t2.customer_id ORDER BY t2.order_date DESC LIMIT 1

hard

CREATE TABLE Addresses (address_id number, address_content text, city text, zip_postcode text, state_province_county text, country text, other_address_details text); CREATE TABLE Products (product_id number, product_details text); CREATE TABLE Customers (customer_id number, payment_method text, customer_name text, date_became_customer time, other_customer_details text); CREATE TABLE Customer_Addresses (customer_id number, address_id number, date_address_from time, address_type text, date_address_to time); CREATE TABLE Customer_Contact_Channels (customer_id number, channel_code text, active_from_date time, active_to_date time, contact_number text); CREATE TABLE Customer_Orders (order_id number, customer_id number, order_status text, order_date time, order_details text); CREATE TABLE Order_Items (order_id number, product_id number, order_quantity text);

Find the name of the customer who made an order most recently.

SELECT t1.customer_name FROM customers AS t1 JOIN customer_orders AS t2 ON t1.customer_id = t2.customer_id ORDER BY t2.order_date DESC LIMIT 1

hard

CREATE TABLE Addresses (address_id number, address_content text, city text, zip_postcode text, state_province_county text, country text, other_address_details text); CREATE TABLE Products (product_id number, product_details text); CREATE TABLE Customers (customer_id number, payment_method text, customer_name text, date_became_customer time, other_customer_details text); CREATE TABLE Customer_Addresses (customer_id number, address_id number, date_address_from time, address_type text, date_address_to time); CREATE TABLE Customer_Contact_Channels (customer_id number, channel_code text, active_from_date time, active_to_date time, contact_number text); CREATE TABLE Customer_Orders (order_id number, customer_id number, order_status text, order_date time, order_details text); CREATE TABLE Order_Items (order_id number, product_id number, order_quantity text);

Which product has been ordered most number of times?

SELECT t2.product_details FROM order_items AS t1 JOIN products AS t2 ON t1.product_id = t2.product_id GROUP BY t1.product_id ORDER BY count(*) DESC LIMIT 1

extra

CREATE TABLE Addresses (address_id number, address_content text, city text, zip_postcode text, state_province_county text, country text, other_address_details text); CREATE TABLE Products (product_id number, product_details text); CREATE TABLE Customers (customer_id number, payment_method text, customer_name text, date_became_customer time, other_customer_details text); CREATE TABLE Customer_Addresses (customer_id number, address_id number, date_address_from time, address_type text, date_address_to time); CREATE TABLE Customer_Contact_Channels (customer_id number, channel_code text, active_from_date time, active_to_date time, contact_number text); CREATE TABLE Customer_Orders (order_id number, customer_id number, order_status text, order_date time, order_details text); CREATE TABLE Order_Items (order_id number, product_id number, order_quantity text);

What is the most frequently ordered product? Tell me the detail of the product

SELECT t2.product_details FROM order_items AS t1 JOIN products AS t2 ON t1.product_id = t2.product_id GROUP BY t1.product_id ORDER BY count(*) DESC LIMIT 1

extra

CREATE TABLE Addresses (address_id number, address_content text, city text, zip_postcode text, state_province_county text, country text, other_address_details text); CREATE TABLE Products (product_id number, product_details text); CREATE TABLE Customers (customer_id number, payment_method text, customer_name text, date_became_customer time, other_customer_details text); CREATE TABLE Customer_Addresses (customer_id number, address_id number, date_address_from time, address_type text, date_address_to time); CREATE TABLE Customer_Contact_Channels (customer_id number, channel_code text, active_from_date time, active_to_date time, contact_number text); CREATE TABLE Customer_Orders (order_id number, customer_id number, order_status text, order_date time, order_details text); CREATE TABLE Order_Items (order_id number, product_id number, order_quantity text);

Find the name and ID of the product whose total order quantity is the largest.

SELECT t2.product_details , t2.product_id FROM order_items AS t1 JOIN products AS t2 ON t1.product_id = t2.product_id GROUP BY t1.product_id ORDER BY sum(t1.order_quantity) LIMIT 1

extra

CREATE TABLE Addresses (address_id number, address_content text, city text, zip_postcode text, state_province_county text, country text, other_address_details text); CREATE TABLE Products (product_id number, product_details text); CREATE TABLE Customers (customer_id number, payment_method text, customer_name text, date_became_customer time, other_customer_details text); CREATE TABLE Customer_Addresses (customer_id number, address_id number, date_address_from time, address_type text, date_address_to time); CREATE TABLE Customer_Contact_Channels (customer_id number, channel_code text, active_from_date time, active_to_date time, contact_number text); CREATE TABLE Customer_Orders (order_id number, customer_id number, order_status text, order_date time, order_details text); CREATE TABLE Order_Items (order_id number, product_id number, order_quantity text);

What are the name and ID of the product bought the most.

SELECT t2.product_details , t2.product_id FROM order_items AS t1 JOIN products AS t2 ON t1.product_id = t2.product_id GROUP BY t1.product_id ORDER BY sum(t1.order_quantity) LIMIT 1

extra

CREATE TABLE Addresses (address_id number, address_content text, city text, zip_postcode text, state_province_county text, country text, other_address_details text); CREATE TABLE Products (product_id number, product_details text); CREATE TABLE Customers (customer_id number, payment_method text, customer_name text, date_became_customer time, other_customer_details text); CREATE TABLE Customer_Addresses (customer_id number, address_id number, date_address_from time, address_type text, date_address_to time); CREATE TABLE Customer_Contact_Channels (customer_id number, channel_code text, active_from_date time, active_to_date time, contact_number text); CREATE TABLE Customer_Orders (order_id number, customer_id number, order_status text, order_date time, order_details text); CREATE TABLE Order_Items (order_id number, product_id number, order_quantity text);

Find all the addresses in East Julianaside, Texas or in Gleasonmouth, Arizona.

SELECT address_content FROM addresses WHERE city = "East Julianaside" AND state_province_county = "Texas" UNION SELECT address_content FROM addresses WHERE city = "Gleasonmouth" AND state_province_county = "Arizona"

extra

CREATE TABLE Addresses (address_id number, address_content text, city text, zip_postcode text, state_province_county text, country text, other_address_details text); CREATE TABLE Products (product_id number, product_details text); CREATE TABLE Customers (customer_id number, payment_method text, customer_name text, date_became_customer time, other_customer_details text); CREATE TABLE Customer_Addresses (customer_id number, address_id number, date_address_from time, address_type text, date_address_to time); CREATE TABLE Customer_Contact_Channels (customer_id number, channel_code text, active_from_date time, active_to_date time, contact_number text); CREATE TABLE Customer_Orders (order_id number, customer_id number, order_status text, order_date time, order_details text); CREATE TABLE Order_Items (order_id number, product_id number, order_quantity text);

What are all the addresses in East Julianaside, Texas or in Gleasonmouth, Arizona.

SELECT address_content FROM addresses WHERE city = "East Julianaside" AND state_province_county = "Texas" UNION SELECT address_content FROM addresses WHERE city = "Gleasonmouth" AND state_province_county = "Arizona"

extra

CREATE TABLE Addresses (address_id number, address_content text, city text, zip_postcode text, state_province_county text, country text, other_address_details text); CREATE TABLE Products (product_id number, product_details text); CREATE TABLE Customers (customer_id number, payment_method text, customer_name text, date_became_customer time, other_customer_details text); CREATE TABLE Customer_Addresses (customer_id number, address_id number, date_address_from time, address_type text, date_address_to time); CREATE TABLE Customer_Contact_Channels (customer_id number, channel_code text, active_from_date time, active_to_date time, contact_number text); CREATE TABLE Customer_Orders (order_id number, customer_id number, order_status text, order_date time, order_details text); CREATE TABLE Order_Items (order_id number, product_id number, order_quantity text);

Find the name of customers who did not pay with Cash.

SELECT customer_name FROM customers WHERE payment_method != 'Cash'

easy

CREATE TABLE Addresses (address_id number, address_content text, city text, zip_postcode text, state_province_county text, country text, other_address_details text); CREATE TABLE Products (product_id number, product_details text); CREATE TABLE Customers (customer_id number, payment_method text, customer_name text, date_became_customer time, other_customer_details text); CREATE TABLE Customer_Addresses (customer_id number, address_id number, date_address_from time, address_type text, date_address_to time); CREATE TABLE Customer_Contact_Channels (customer_id number, channel_code text, active_from_date time, active_to_date time, contact_number text); CREATE TABLE Customer_Orders (order_id number, customer_id number, order_status text, order_date time, order_details text); CREATE TABLE Order_Items (order_id number, product_id number, order_quantity text);

What is the name of customers who do not use Cash as payment method.

SELECT customer_name FROM customers WHERE payment_method != 'Cash'

easy

CREATE TABLE Addresses (address_id number, address_content text, city text, zip_postcode text, state_province_county text, country text, other_address_details text); CREATE TABLE Products (product_id number, product_details text); CREATE TABLE Customers (customer_id number, payment_method text, customer_name text, date_became_customer time, other_customer_details text); CREATE TABLE Customer_Addresses (customer_id number, address_id number, date_address_from time, address_type text, date_address_to time); CREATE TABLE Customer_Contact_Channels (customer_id number, channel_code text, active_from_date time, active_to_date time, contact_number text); CREATE TABLE Customer_Orders (order_id number, customer_id number, order_status text, order_date time, order_details text); CREATE TABLE Order_Items (order_id number, product_id number, order_quantity text);

Find the names of customers who never ordered product Latte.

SELECT customer_name FROM customers EXCEPT SELECT 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_details = 'Latte'

hard

CREATE TABLE Addresses (address_id number, address_content text, city text, zip_postcode text, state_province_county text, country text, other_address_details text); CREATE TABLE Products (product_id number, product_details text); CREATE TABLE Customers (customer_id number, payment_method text, customer_name text, date_became_customer time, other_customer_details text); CREATE TABLE Customer_Addresses (customer_id number, address_id number, date_address_from time, address_type text, date_address_to time); CREATE TABLE Customer_Contact_Channels (customer_id number, channel_code text, active_from_date time, active_to_date time, contact_number text); CREATE TABLE Customer_Orders (order_id number, customer_id number, order_status text, order_date time, order_details text); CREATE TABLE Order_Items (order_id number, product_id number, order_quantity text);

What are names of customers who never ordered product Latte.

SELECT customer_name FROM customers EXCEPT SELECT 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_details = 'Latte'

hard

CREATE TABLE Addresses (address_id number, address_content text, city text, zip_postcode text, state_province_county text, country text, other_address_details text); CREATE TABLE Products (product_id number, product_details text); CREATE TABLE Customers (customer_id number, payment_method text, customer_name text, date_became_customer time, other_customer_details text); CREATE TABLE Customer_Addresses (customer_id number, address_id number, date_address_from time, address_type text, date_address_to time); CREATE TABLE Customer_Contact_Channels (customer_id number, channel_code text, active_from_date time, active_to_date time, contact_number text); CREATE TABLE Customer_Orders (order_id number, customer_id number, order_status text, order_date time, order_details text); CREATE TABLE Order_Items (order_id number, product_id number, order_quantity text);

Find the names of customers who never placed an order.

SELECT customer_name FROM customers EXCEPT SELECT t1.customer_name FROM customers AS t1 JOIN customer_orders AS t2 ON t1.customer_id = t2.customer_id

hard

CREATE TABLE Addresses (address_id number, address_content text, city text, zip_postcode text, state_province_county text, country text, other_address_details text); CREATE TABLE Products (product_id number, product_details text); CREATE TABLE Customers (customer_id number, payment_method text, customer_name text, date_became_customer time, other_customer_details text); CREATE TABLE Customer_Addresses (customer_id number, address_id number, date_address_from time, address_type text, date_address_to time); CREATE TABLE Customer_Contact_Channels (customer_id number, channel_code text, active_from_date time, active_to_date time, contact_number text); CREATE TABLE Customer_Orders (order_id number, customer_id number, order_status text, order_date time, order_details text); CREATE TABLE Order_Items (order_id number, product_id number, order_quantity text);

What are the names of customers who never made an order.

SELECT customer_name FROM customers EXCEPT SELECT t1.customer_name FROM customers AS t1 JOIN customer_orders AS t2 ON t1.customer_id = t2.customer_id

hard

CREATE TABLE Addresses (address_id number, address_content text, city text, zip_postcode text, state_province_county text, country text, other_address_details text); CREATE TABLE Products (product_id number, product_details text); CREATE TABLE Customers (customer_id number, payment_method text, customer_name text, date_became_customer time, other_customer_details text); CREATE TABLE Customer_Addresses (customer_id number, address_id number, date_address_from time, address_type text, date_address_to time); CREATE TABLE Customer_Contact_Channels (customer_id number, channel_code text, active_from_date time, active_to_date time, contact_number text); CREATE TABLE Customer_Orders (order_id number, customer_id number, order_status text, order_date time, order_details text); CREATE TABLE Order_Items (order_id number, product_id number, order_quantity text);

Find the names of customers who ordered both products Latte and Americano.

SELECT 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_details = 'Latte' INTERSECT SELECT 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_details = 'Americano'

extra

CREATE TABLE Addresses (address_id number, address_content text, city text, zip_postcode text, state_province_county text, country text, other_address_details text); CREATE TABLE Products (product_id number, product_details text); CREATE TABLE Customers (customer_id number, payment_method text, customer_name text, date_became_customer time, other_customer_details text); CREATE TABLE Customer_Addresses (customer_id number, address_id number, date_address_from time, address_type text, date_address_to time); CREATE TABLE Customer_Contact_Channels (customer_id number, channel_code text, active_from_date time, active_to_date time, contact_number text); CREATE TABLE Customer_Orders (order_id number, customer_id number, order_status text, order_date time, order_details text); CREATE TABLE Order_Items (order_id number, product_id number, order_quantity text);

What are the names of customers who have purchased both products Latte and Americano?

SELECT 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_details = 'Latte' INTERSECT SELECT 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_details = 'Americano'

extra

CREATE TABLE artist (Artist_ID number, Artist text, Age number, Famous_Title text, Famous_Release_date text); CREATE TABLE volume (Volume_ID number, Volume_Issue text, Issue_Date text, Weeks_on_Top number, Song text, Artist_ID number); CREATE TABLE music_festival (ID number, Music_Festival text, Date_of_ceremony text, Category text, Volume number, Result text);

How many artists are there?

SELECT count(*) FROM artist

easy

CREATE TABLE artist (Artist_ID number, Artist text, Age number, Famous_Title text, Famous_Release_date text); CREATE TABLE volume (Volume_ID number, Volume_Issue text, Issue_Date text, Weeks_on_Top number, Song text, Artist_ID number); CREATE TABLE music_festival (ID number, Music_Festival text, Date_of_ceremony text, Category text, Volume number, Result text);

Count the number of artists.

SELECT count(*) FROM artist

easy

CREATE TABLE artist (Artist_ID number, Artist text, Age number, Famous_Title text, Famous_Release_date text); CREATE TABLE volume (Volume_ID number, Volume_Issue text, Issue_Date text, Weeks_on_Top number, Song text, Artist_ID number); CREATE TABLE music_festival (ID number, Music_Festival text, Date_of_ceremony text, Category text, Volume number, Result text);

List the age of all music artists.

SELECT Age FROM artist

easy

CREATE TABLE artist (Artist_ID number, Artist text, Age number, Famous_Title text, Famous_Release_date text); CREATE TABLE volume (Volume_ID number, Volume_Issue text, Issue_Date text, Weeks_on_Top number, Song text, Artist_ID number); CREATE TABLE music_festival (ID number, Music_Festival text, Date_of_ceremony text, Category text, Volume number, Result text);

What are the ages of all music artists?

SELECT Age FROM artist

easy

CREATE TABLE artist (Artist_ID number, Artist text, Age number, Famous_Title text, Famous_Release_date text); CREATE TABLE volume (Volume_ID number, Volume_Issue text, Issue_Date text, Weeks_on_Top number, Song text, Artist_ID number); CREATE TABLE music_festival (ID number, Music_Festival text, Date_of_ceremony text, Category text, Volume number, Result text);

What is the average age of all artists?

SELECT avg(Age) FROM artist

easy

CREATE TABLE artist (Artist_ID number, Artist text, Age number, Famous_Title text, Famous_Release_date text); CREATE TABLE volume (Volume_ID number, Volume_Issue text, Issue_Date text, Weeks_on_Top number, Song text, Artist_ID number); CREATE TABLE music_festival (ID number, Music_Festival text, Date_of_ceremony text, Category text, Volume number, Result text);

Return the average age across all artists.

SELECT avg(Age) FROM artist

easy

CREATE TABLE artist (Artist_ID number, Artist text, Age number, Famous_Title text, Famous_Release_date text); CREATE TABLE volume (Volume_ID number, Volume_Issue text, Issue_Date text, Weeks_on_Top number, Song text, Artist_ID number); CREATE TABLE music_festival (ID number, Music_Festival text, Date_of_ceremony text, Category text, Volume number, Result text);

What are the famous titles of the artist "Triumfall"?

SELECT Famous_Title FROM artist WHERE Artist = "Triumfall"

easy

CREATE TABLE artist (Artist_ID number, Artist text, Age number, Famous_Title text, Famous_Release_date text); CREATE TABLE volume (Volume_ID number, Volume_Issue text, Issue_Date text, Weeks_on_Top number, Song text, Artist_ID number); CREATE TABLE music_festival (ID number, Music_Festival text, Date_of_ceremony text, Category text, Volume number, Result text);

Return the famous titles of the artist called "Triumfall".

SELECT Famous_Title FROM artist WHERE Artist = "Triumfall"

easy

CREATE TABLE artist (Artist_ID number, Artist text, Age number, Famous_Title text, Famous_Release_date text); CREATE TABLE volume (Volume_ID number, Volume_Issue text, Issue_Date text, Weeks_on_Top number, Song text, Artist_ID number); CREATE TABLE music_festival (ID number, Music_Festival text, Date_of_ceremony text, Category text, Volume number, Result text);

What are the distinct Famous release dates?

SELECT distinct(Famous_Release_date) FROM artist

easy

CREATE TABLE artist (Artist_ID number, Artist text, Age number, Famous_Title text, Famous_Release_date text); CREATE TABLE volume (Volume_ID number, Volume_Issue text, Issue_Date text, Weeks_on_Top number, Song text, Artist_ID number); CREATE TABLE music_festival (ID number, Music_Festival text, Date_of_ceremony text, Category text, Volume number, Result text);

Give the distinct famous release dates for all artists.

SELECT distinct(Famous_Release_date) FROM artist

easy

CREATE TABLE artist (Artist_ID number, Artist text, Age number, Famous_Title text, Famous_Release_date text); CREATE TABLE volume (Volume_ID number, Volume_Issue text, Issue_Date text, Weeks_on_Top number, Song text, Artist_ID number); CREATE TABLE music_festival (ID number, Music_Festival text, Date_of_ceremony text, Category text, Volume number, Result text);

Return the dates of ceremony and the results of all music festivals

SELECT Date_of_ceremony , RESULT FROM music_festival

medium

CREATE TABLE artist (Artist_ID number, Artist text, Age number, Famous_Title text, Famous_Release_date text); CREATE TABLE volume (Volume_ID number, Volume_Issue text, Issue_Date text, Weeks_on_Top number, Song text, Artist_ID number); CREATE TABLE music_festival (ID number, Music_Festival text, Date_of_ceremony text, Category text, Volume number, Result text);

What are the dates of ceremony and results for each music festival?

SELECT Date_of_ceremony , RESULT FROM music_festival

medium

CREATE TABLE artist (Artist_ID number, Artist text, Age number, Famous_Title text, Famous_Release_date text); CREATE TABLE volume (Volume_ID number, Volume_Issue text, Issue_Date text, Weeks_on_Top number, Song text, Artist_ID number); CREATE TABLE music_festival (ID number, Music_Festival text, Date_of_ceremony text, Category text, Volume number, Result text);

What are the category of music festivals with result "Awarded"?

SELECT Category FROM music_festival WHERE RESULT = "Awarded"

easy

CREATE TABLE artist (Artist_ID number, Artist text, Age number, Famous_Title text, Famous_Release_date text); CREATE TABLE volume (Volume_ID number, Volume_Issue text, Issue_Date text, Weeks_on_Top number, Song text, Artist_ID number); CREATE TABLE music_festival (ID number, Music_Festival text, Date_of_ceremony text, Category text, Volume number, Result text);

Return the categories of music festivals that have the result "Awarded".

SELECT Category FROM music_festival WHERE RESULT = "Awarded"

easy

CREATE TABLE artist (Artist_ID number, Artist text, Age number, Famous_Title text, Famous_Release_date text); CREATE TABLE volume (Volume_ID number, Volume_Issue text, Issue_Date text, Weeks_on_Top number, Song text, Artist_ID number); CREATE TABLE music_festival (ID number, Music_Festival text, Date_of_ceremony text, Category text, Volume number, Result text);

What are the maximum and minimum week on top of all volumes?

SELECT max(Weeks_on_Top) , min(Weeks_on_Top) FROM volume

medium

CREATE TABLE artist (Artist_ID number, Artist text, Age number, Famous_Title text, Famous_Release_date text); CREATE TABLE volume (Volume_ID number, Volume_Issue text, Issue_Date text, Weeks_on_Top number, Song text, Artist_ID number); CREATE TABLE music_festival (ID number, Music_Festival text, Date_of_ceremony text, Category text, Volume number, Result text);

Give the maximum and minimum weeks on top across all volumes.

SELECT max(Weeks_on_Top) , min(Weeks_on_Top) FROM volume

medium

CREATE TABLE artist (Artist_ID number, Artist text, Age number, Famous_Title text, Famous_Release_date text); CREATE TABLE volume (Volume_ID number, Volume_Issue text, Issue_Date text, Weeks_on_Top number, Song text, Artist_ID number); CREATE TABLE music_festival (ID number, Music_Festival text, Date_of_ceremony text, Category text, Volume number, Result text);

What are the songs in volumes with more than 1 week on top?

SELECT Song FROM volume WHERE Weeks_on_Top > 1

easy

CREATE TABLE artist (Artist_ID number, Artist text, Age number, Famous_Title text, Famous_Release_date text); CREATE TABLE volume (Volume_ID number, Volume_Issue text, Issue_Date text, Weeks_on_Top number, Song text, Artist_ID number); CREATE TABLE music_festival (ID number, Music_Festival text, Date_of_ceremony text, Category text, Volume number, Result text);

Give the songs included in volumes that have more than 1 week on top.

SELECT Song FROM volume WHERE Weeks_on_Top > 1

easy

CREATE TABLE artist (Artist_ID number, Artist text, Age number, Famous_Title text, Famous_Release_date text); CREATE TABLE volume (Volume_ID number, Volume_Issue text, Issue_Date text, Weeks_on_Top number, Song text, Artist_ID number); CREATE TABLE music_festival (ID number, Music_Festival text, Date_of_ceremony text, Category text, Volume number, Result text);

Please list all songs in volumes in ascending alphabetical order.

SELECT Song FROM volume ORDER BY Song

easy

CREATE TABLE artist (Artist_ID number, Artist text, Age number, Famous_Title text, Famous_Release_date text); CREATE TABLE volume (Volume_ID number, Volume_Issue text, Issue_Date text, Weeks_on_Top number, Song text, Artist_ID number); CREATE TABLE music_festival (ID number, Music_Festival text, Date_of_ceremony text, Category text, Volume number, Result text);

What are the the songs in volumes, listed in ascending order?

SELECT Song FROM volume ORDER BY Song

easy

CREATE TABLE artist (Artist_ID number, Artist text, Age number, Famous_Title text, Famous_Release_date text); CREATE TABLE volume (Volume_ID number, Volume_Issue text, Issue_Date text, Weeks_on_Top number, Song text, Artist_ID number); CREATE TABLE music_festival (ID number, Music_Festival text, Date_of_ceremony text, Category text, Volume number, Result text);

How many distinct artists do the volumes associate to?

SELECT COUNT(DISTINCT Artist_ID) FROM volume

easy

CREATE TABLE artist (Artist_ID number, Artist text, Age number, Famous_Title text, Famous_Release_date text); CREATE TABLE volume (Volume_ID number, Volume_Issue text, Issue_Date text, Weeks_on_Top number, Song text, Artist_ID number); CREATE TABLE music_festival (ID number, Music_Festival text, Date_of_ceremony text, Category text, Volume number, Result text);

Count the number of distinct artists who have volumes.

SELECT COUNT(DISTINCT Artist_ID) FROM volume

easy

CREATE TABLE artist (Artist_ID number, Artist text, Age number, Famous_Title text, Famous_Release_date text); CREATE TABLE volume (Volume_ID number, Volume_Issue text, Issue_Date text, Weeks_on_Top number, Song text, Artist_ID number); CREATE TABLE music_festival (ID number, Music_Festival text, Date_of_ceremony text, Category text, Volume number, Result text);

Please show the date of ceremony of the volumes that last more than 2 weeks on top.

SELECT T1.Date_of_ceremony FROM music_festival AS T1 JOIN volume AS T2 ON T1.Volume = T2.Volume_ID WHERE T2.Weeks_on_Top > 2

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CREATE TABLE artist (Artist_ID number, Artist text, Age number, Famous_Title text, Famous_Release_date text); CREATE TABLE volume (Volume_ID number, Volume_Issue text, Issue_Date text, Weeks_on_Top number, Song text, Artist_ID number); CREATE TABLE music_festival (ID number, Music_Festival text, Date_of_ceremony text, Category text, Volume number, Result text);

What are the dates of ceremony at music festivals corresponding to volumes that lasted more than 2 weeks on top?

SELECT T1.Date_of_ceremony FROM music_festival AS T1 JOIN volume AS T2 ON T1.Volume = T2.Volume_ID WHERE T2.Weeks_on_Top > 2

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CREATE TABLE artist (Artist_ID number, Artist text, Age number, Famous_Title text, Famous_Release_date text); CREATE TABLE volume (Volume_ID number, Volume_Issue text, Issue_Date text, Weeks_on_Top number, Song text, Artist_ID number); CREATE TABLE music_festival (ID number, Music_Festival text, Date_of_ceremony text, Category text, Volume number, Result text);

Please show the songs that have result "nominated" at music festivals.

SELECT T2.Song FROM music_festival AS T1 JOIN volume AS T2 ON T1.Volume = T2.Volume_ID WHERE T1.Result = "Nominated"

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CREATE TABLE artist (Artist_ID number, Artist text, Age number, Famous_Title text, Famous_Release_date text); CREATE TABLE volume (Volume_ID number, Volume_Issue text, Issue_Date text, Weeks_on_Top number, Song text, Artist_ID number); CREATE TABLE music_festival (ID number, Music_Festival text, Date_of_ceremony text, Category text, Volume number, Result text);

What are the songs in volumes that have resulted in a nomination at music festivals?

SELECT T2.Song FROM music_festival AS T1 JOIN volume AS T2 ON T1.Volume = T2.Volume_ID WHERE T1.Result = "Nominated"

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CREATE TABLE artist (Artist_ID number, Artist text, Age number, Famous_Title text, Famous_Release_date text); CREATE TABLE volume (Volume_ID number, Volume_Issue text, Issue_Date text, Weeks_on_Top number, Song text, Artist_ID number); CREATE TABLE music_festival (ID number, Music_Festival text, Date_of_ceremony text, Category text, Volume number, Result text);

What are the issue dates of volumes associated with the artist "Gorgoroth"?

SELECT T2.Issue_Date FROM artist AS T1 JOIN volume AS T2 ON T1.Artist_ID = T2.Artist_ID WHERE T1.Artist = "Gorgoroth"

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CREATE TABLE artist (Artist_ID number, Artist text, Age number, Famous_Title text, Famous_Release_date text); CREATE TABLE volume (Volume_ID number, Volume_Issue text, Issue_Date text, Weeks_on_Top number, Song text, Artist_ID number); CREATE TABLE music_festival (ID number, Music_Festival text, Date_of_ceremony text, Category text, Volume number, Result text);

Return the issue dates of volumes that are by the artist named Gorgoroth.

SELECT T2.Issue_Date FROM artist AS T1 JOIN volume AS T2 ON T1.Artist_ID = T2.Artist_ID WHERE T1.Artist = "Gorgoroth"

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CREATE TABLE artist (Artist_ID number, Artist text, Age number, Famous_Title text, Famous_Release_date text); CREATE TABLE volume (Volume_ID number, Volume_Issue text, Issue_Date text, Weeks_on_Top number, Song text, Artist_ID number); CREATE TABLE music_festival (ID number, Music_Festival text, Date_of_ceremony text, Category text, Volume number, Result text);

What are the songs in volumes associated with the artist aged 32 or older?

SELECT T2.Song FROM artist AS T1 JOIN volume AS T2 ON T1.Artist_ID = T2.Artist_ID WHERE T1.age >= 32

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CREATE TABLE artist (Artist_ID number, Artist text, Age number, Famous_Title text, Famous_Release_date text); CREATE TABLE volume (Volume_ID number, Volume_Issue text, Issue_Date text, Weeks_on_Top number, Song text, Artist_ID number); CREATE TABLE music_festival (ID number, Music_Festival text, Date_of_ceremony text, Category text, Volume number, Result text);

Return names of songs in volumes that are by artists that are at least 32 years old.

SELECT T2.Song FROM artist AS T1 JOIN volume AS T2 ON T1.Artist_ID = T2.Artist_ID WHERE T1.age >= 32

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CREATE TABLE artist (Artist_ID number, Artist text, Age number, Famous_Title text, Famous_Release_date text); CREATE TABLE volume (Volume_ID number, Volume_Issue text, Issue_Date text, Weeks_on_Top number, Song text, Artist_ID number); CREATE TABLE music_festival (ID number, Music_Festival text, Date_of_ceremony text, Category text, Volume number, Result text);

What is the average weeks on top of volumes associated with the artist aged 25 or younger?

SELECT avg(T2.Weeks_on_Top) FROM artist AS T1 JOIN volume AS T2 ON T1.Artist_ID = T2.Artist_ID WHERE T1.age <= 25

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CREATE TABLE artist (Artist_ID number, Artist text, Age number, Famous_Title text, Famous_Release_date text); CREATE TABLE volume (Volume_ID number, Volume_Issue text, Issue_Date text, Weeks_on_Top number, Song text, Artist_ID number); CREATE TABLE music_festival (ID number, Music_Festival text, Date_of_ceremony text, Category text, Volume number, Result text);

Return the average number of weeks on top for volumes by artists that are at most 25 years old.

SELECT avg(T2.Weeks_on_Top) FROM artist AS T1 JOIN volume AS T2 ON T1.Artist_ID = T2.Artist_ID WHERE T1.age <= 25

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CREATE TABLE artist (Artist_ID number, Artist text, Age number, Famous_Title text, Famous_Release_date text); CREATE TABLE volume (Volume_ID number, Volume_Issue text, Issue_Date text, Weeks_on_Top number, Song text, Artist_ID number); CREATE TABLE music_festival (ID number, Music_Festival text, Date_of_ceremony text, Category text, Volume number, Result text);

What are the famous title of the artists associated with volumes with more than 2 weeks on top?

SELECT T1.Famous_Title FROM artist AS T1 JOIN volume AS T2 ON T1.Artist_ID = T2.Artist_ID WHERE T2.Weeks_on_Top > 2

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CREATE TABLE artist (Artist_ID number, Artist text, Age number, Famous_Title text, Famous_Release_date text); CREATE TABLE volume (Volume_ID number, Volume_Issue text, Issue_Date text, Weeks_on_Top number, Song text, Artist_ID number); CREATE TABLE music_festival (ID number, Music_Festival text, Date_of_ceremony text, Category text, Volume number, Result text);

Return the famous titles for artists that have volumes that lasted more than 2 weeks on top.

SELECT T1.Famous_Title FROM artist AS T1 JOIN volume AS T2 ON T1.Artist_ID = T2.Artist_ID WHERE T2.Weeks_on_Top > 2

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CREATE TABLE artist (Artist_ID number, Artist text, Age number, Famous_Title text, Famous_Release_date text); CREATE TABLE volume (Volume_ID number, Volume_Issue text, Issue_Date text, Weeks_on_Top number, Song text, Artist_ID number); CREATE TABLE music_festival (ID number, Music_Festival text, Date_of_ceremony text, Category text, Volume number, Result text);

Please list the age and famous title of artists in descending order of age.

SELECT Famous_Title , Age FROM artist ORDER BY Age DESC

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CREATE TABLE artist (Artist_ID number, Artist text, Age number, Famous_Title text, Famous_Release_date text); CREATE TABLE volume (Volume_ID number, Volume_Issue text, Issue_Date text, Weeks_on_Top number, Song text, Artist_ID number); CREATE TABLE music_festival (ID number, Music_Festival text, Date_of_ceremony text, Category text, Volume number, Result text);

What are the famous titles and ages of each artist, listed in descending order by age?

SELECT Famous_Title , Age FROM artist ORDER BY Age DESC

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CREATE TABLE artist (Artist_ID number, Artist text, Age number, Famous_Title text, Famous_Release_date text); CREATE TABLE volume (Volume_ID number, Volume_Issue text, Issue_Date text, Weeks_on_Top number, Song text, Artist_ID number); CREATE TABLE music_festival (ID number, Music_Festival text, Date_of_ceremony text, Category text, Volume number, Result text);

What is the famous release date of the artist with the oldest age?

SELECT Famous_Release_date FROM artist ORDER BY Age DESC LIMIT 1

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CREATE TABLE artist (Artist_ID number, Artist text, Age number, Famous_Title text, Famous_Release_date text); CREATE TABLE volume (Volume_ID number, Volume_Issue text, Issue_Date text, Weeks_on_Top number, Song text, Artist_ID number); CREATE TABLE music_festival (ID number, Music_Festival text, Date_of_ceremony text, Category text, Volume number, Result text);

Return the famous release date for the oldest artist.

SELECT Famous_Release_date FROM artist ORDER BY Age DESC LIMIT 1

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CREATE TABLE artist (Artist_ID number, Artist text, Age number, Famous_Title text, Famous_Release_date text); CREATE TABLE volume (Volume_ID number, Volume_Issue text, Issue_Date text, Weeks_on_Top number, Song text, Artist_ID number); CREATE TABLE music_festival (ID number, Music_Festival text, Date_of_ceremony text, Category text, Volume number, Result text);

Please show the categories of the music festivals and the count.

SELECT Category , COUNT(*) FROM music_festival GROUP BY Category

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CREATE TABLE artist (Artist_ID number, Artist text, Age number, Famous_Title text, Famous_Release_date text); CREATE TABLE volume (Volume_ID number, Volume_Issue text, Issue_Date text, Weeks_on_Top number, Song text, Artist_ID number); CREATE TABLE music_festival (ID number, Music_Festival text, Date_of_ceremony text, Category text, Volume number, Result text);

Return the number of music festivals of each category.

SELECT Category , COUNT(*) FROM music_festival GROUP BY Category

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CREATE TABLE artist (Artist_ID number, Artist text, Age number, Famous_Title text, Famous_Release_date text); CREATE TABLE volume (Volume_ID number, Volume_Issue text, Issue_Date text, Weeks_on_Top number, Song text, Artist_ID number); CREATE TABLE music_festival (ID number, Music_Festival text, Date_of_ceremony text, Category text, Volume number, Result text);

What is the most common result of the music festival?

SELECT RESULT FROM music_festival GROUP BY RESULT ORDER BY COUNT(*) DESC LIMIT 1

hard

CREATE TABLE artist (Artist_ID number, Artist text, Age number, Famous_Title text, Famous_Release_date text); CREATE TABLE volume (Volume_ID number, Volume_Issue text, Issue_Date text, Weeks_on_Top number, Song text, Artist_ID number); CREATE TABLE music_festival (ID number, Music_Festival text, Date_of_ceremony text, Category text, Volume number, Result text);

Return the result that is most frequent at music festivals.

SELECT RESULT FROM music_festival GROUP BY RESULT ORDER BY COUNT(*) DESC LIMIT 1

hard

CREATE TABLE artist (Artist_ID number, Artist text, Age number, Famous_Title text, Famous_Release_date text); CREATE TABLE volume (Volume_ID number, Volume_Issue text, Issue_Date text, Weeks_on_Top number, Song text, Artist_ID number); CREATE TABLE music_festival (ID number, Music_Festival text, Date_of_ceremony text, Category text, Volume number, Result text);

Please show the categories of the music festivals with count more than 1.

SELECT Category FROM music_festival GROUP BY Category HAVING COUNT(*) > 1

easy

CREATE TABLE artist (Artist_ID number, Artist text, Age number, Famous_Title text, Famous_Release_date text); CREATE TABLE volume (Volume_ID number, Volume_Issue text, Issue_Date text, Weeks_on_Top number, Song text, Artist_ID number); CREATE TABLE music_festival (ID number, Music_Festival text, Date_of_ceremony text, Category text, Volume number, Result text);

What are the categories of music festivals for which there have been more than 1 music festival?

SELECT Category FROM music_festival GROUP BY Category HAVING COUNT(*) > 1

easy

CREATE TABLE artist (Artist_ID number, Artist text, Age number, Famous_Title text, Famous_Release_date text); CREATE TABLE volume (Volume_ID number, Volume_Issue text, Issue_Date text, Weeks_on_Top number, Song text, Artist_ID number); CREATE TABLE music_festival (ID number, Music_Festival text, Date_of_ceremony text, Category text, Volume number, Result text);

What is the song in the volume with the maximum weeks on top?

SELECT Song FROM volume ORDER BY Weeks_on_Top DESC LIMIT 1

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CREATE TABLE artist (Artist_ID number, Artist text, Age number, Famous_Title text, Famous_Release_date text); CREATE TABLE volume (Volume_ID number, Volume_Issue text, Issue_Date text, Weeks_on_Top number, Song text, Artist_ID number); CREATE TABLE music_festival (ID number, Music_Festival text, Date_of_ceremony text, Category text, Volume number, Result text);

Return the song in the volume that has spent the most weeks on top?

SELECT Song FROM volume ORDER BY Weeks_on_Top DESC LIMIT 1

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CREATE TABLE artist (Artist_ID number, Artist text, Age number, Famous_Title text, Famous_Release_date text); CREATE TABLE volume (Volume_ID number, Volume_Issue text, Issue_Date text, Weeks_on_Top number, Song text, Artist_ID number); CREATE TABLE music_festival (ID number, Music_Festival text, Date_of_ceremony text, Category text, Volume number, Result text);

Find the famous titles of artists that do not have any volume.

SELECT Famous_Title FROM artist WHERE Artist_ID NOT IN(SELECT Artist_ID FROM volume)

hard

CREATE TABLE artist (Artist_ID number, Artist text, Age number, Famous_Title text, Famous_Release_date text); CREATE TABLE volume (Volume_ID number, Volume_Issue text, Issue_Date text, Weeks_on_Top number, Song text, Artist_ID number); CREATE TABLE music_festival (ID number, Music_Festival text, Date_of_ceremony text, Category text, Volume number, Result text);

What are the famous titles of artists who do not have any volumes?

SELECT Famous_Title FROM artist WHERE Artist_ID NOT IN(SELECT Artist_ID FROM volume)

hard

CREATE TABLE artist (Artist_ID number, Artist text, Age number, Famous_Title text, Famous_Release_date text); CREATE TABLE volume (Volume_ID number, Volume_Issue text, Issue_Date text, Weeks_on_Top number, Song text, Artist_ID number); CREATE TABLE music_festival (ID number, Music_Festival text, Date_of_ceremony text, Category text, Volume number, Result text);

Show the famous titles of the artists with both volumes that lasted more than 2 weeks on top and volumes that lasted less than 2 weeks on top.

SELECT T1.Famous_Title FROM artist AS T1 JOIN volume AS T2 ON T1.Artist_ID = T2.Artist_ID WHERE T2.Weeks_on_Top > 2 INTERSECT SELECT T1.Famous_Title FROM artist AS T1 JOIN volume AS T2 ON T1.Artist_ID = T2.Artist_ID WHERE T2.Weeks_on_Top < 2

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CREATE TABLE artist (Artist_ID number, Artist text, Age number, Famous_Title text, Famous_Release_date text); CREATE TABLE volume (Volume_ID number, Volume_Issue text, Issue_Date text, Weeks_on_Top number, Song text, Artist_ID number); CREATE TABLE music_festival (ID number, Music_Festival text, Date_of_ceremony text, Category text, Volume number, Result text);

What are the famous titles of artists who have not only had volumes that spent more than 2 weeks on top but also volumes that spent less than 2 weeks on top?

SELECT T1.Famous_Title FROM artist AS T1 JOIN volume AS T2 ON T1.Artist_ID = T2.Artist_ID WHERE T2.Weeks_on_Top > 2 INTERSECT SELECT T1.Famous_Title FROM artist AS T1 JOIN volume AS T2 ON T1.Artist_ID = T2.Artist_ID WHERE T2.Weeks_on_Top < 2

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CREATE TABLE artist (Artist_ID number, Artist text, Age number, Famous_Title text, Famous_Release_date text); CREATE TABLE volume (Volume_ID number, Volume_Issue text, Issue_Date text, Weeks_on_Top number, Song text, Artist_ID number); CREATE TABLE music_festival (ID number, Music_Festival text, Date_of_ceremony text, Category text, Volume number, Result text);

What are the date of ceremony of music festivals with category "Best Song" and result "Awarded"?

SELECT Date_of_ceremony FROM music_festival WHERE Category = "Best Song" AND RESULT = "Awarded"

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CREATE TABLE artist (Artist_ID number, Artist text, Age number, Famous_Title text, Famous_Release_date text); CREATE TABLE volume (Volume_ID number, Volume_Issue text, Issue_Date text, Weeks_on_Top number, Song text, Artist_ID number); CREATE TABLE music_festival (ID number, Music_Festival text, Date_of_ceremony text, Category text, Volume number, Result text);

Return the dates of ceremony corresponding to music festivals that had the category "Best Song" and result "Awarded".

SELECT Date_of_ceremony FROM music_festival WHERE Category = "Best Song" AND RESULT = "Awarded"

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CREATE TABLE artist (Artist_ID number, Artist text, Age number, Famous_Title text, Famous_Release_date text); CREATE TABLE volume (Volume_ID number, Volume_Issue text, Issue_Date text, Weeks_on_Top number, Song text, Artist_ID number); CREATE TABLE music_festival (ID number, Music_Festival text, Date_of_ceremony text, Category text, Volume number, Result text);

What is the issue date of the volume with the minimum weeks on top?

SELECT Issue_Date FROM volume ORDER BY Weeks_on_Top ASC LIMIT 1

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CREATE TABLE artist (Artist_ID number, Artist text, Age number, Famous_Title text, Famous_Release_date text); CREATE TABLE volume (Volume_ID number, Volume_Issue text, Issue_Date text, Weeks_on_Top number, Song text, Artist_ID number); CREATE TABLE music_festival (ID number, Music_Festival text, Date_of_ceremony text, Category text, Volume number, Result text);

Return the issue date of the volume that has spent the fewest weeks on top.

SELECT Issue_Date FROM volume ORDER BY Weeks_on_Top ASC LIMIT 1

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CREATE TABLE artist (Artist_ID number, Artist text, Age number, Famous_Title text, Famous_Release_date text); CREATE TABLE volume (Volume_ID number, Volume_Issue text, Issue_Date text, Weeks_on_Top number, Song text, Artist_ID number); CREATE TABLE music_festival (ID number, Music_Festival text, Date_of_ceremony text, Category text, Volume number, Result text);

How many distinct artists have volumes?

SELECT COUNT(DISTINCT Artist_ID) FROM volume

easy

CREATE TABLE artist (Artist_ID number, Artist text, Age number, Famous_Title text, Famous_Release_date text); CREATE TABLE volume (Volume_ID number, Volume_Issue text, Issue_Date text, Weeks_on_Top number, Song text, Artist_ID number); CREATE TABLE music_festival (ID number, Music_Festival text, Date_of_ceremony text, Category text, Volume number, Result text);

Count the number of artists who have had volumes.

SELECT COUNT(DISTINCT Artist_ID) FROM volume

easy

CREATE TABLE artist (Artist_ID number, Artist text, Age number, Famous_Title text, Famous_Release_date text); CREATE TABLE volume (Volume_ID number, Volume_Issue text, Issue_Date text, Weeks_on_Top number, Song text, Artist_ID number); CREATE TABLE music_festival (ID number, Music_Festival text, Date_of_ceremony text, Category text, Volume number, Result text);

Please show the results of music festivals and the number of music festivals that have had each, ordered by this count.

SELECT RESULT , COUNT(*) FROM music_festival GROUP BY RESULT ORDER BY COUNT(*) DESC

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