input
stringlengths 236
16.9k
| output
stringlengths 19
805
|
|---|---|
-- Database schema
| Addresses : address_id [ INT ] primary_key , address_content [ TEXT ] , city [ TEXT ] , zip_postcode [ TEXT ] , state_province_county [ TEXT ] , country [ TEXT ] , other_address_details [ TEXT ] | Products : product_id [ INT ] primary_key , product_details [ TEXT ] | Customers : customer_id [ INT ] primary_key , payment_method [ TEXT ] , customer_name [ TEXT ] , date_became_customer [ TEXT ] , other_customer_details [ TEXT ] | Customer_Addresses : customer_id [ INT ] Customer_Addresses.customer_id = Customers.customer_id , address_id [ INT ] Customer_Addresses.address_id = Addresses.address_id , date_address_from [ TEXT ] , address_type [ TEXT ] , date_address_to [ TEXT ] | Customer_Contact_Channels : customer_id [ INT ] Customer_Contact_Channels.customer_id = Customers.customer_id , channel_code [ TEXT ] , active_from_date [ TEXT ] , active_to_date [ TEXT ] , contact_number [ TEXT ] | Customer_Orders : order_id [ INT ] primary_key , customer_id [ INT ] Customer_Orders.customer_id = Customers.customer_id , order_status [ TEXT ] , order_date [ TEXT ] , order_details [ TEXT ] | Order_Items : order_id [ INT ] Order_Items.order_id = Customer_Orders.order_id , product_id [ INT ] Order_Items.product_id = Products.product_id , 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"; |
-- Database schema
| Addresses : address_id [ INT ] primary_key , address_content [ TEXT ] , city [ TEXT ] , zip_postcode [ TEXT ] , state_province_county [ TEXT ] , country [ TEXT ] , other_address_details [ TEXT ] | Products : product_id [ INT ] primary_key , product_details [ TEXT ] | Customers : customer_id [ INT ] primary_key , payment_method [ TEXT ] , customer_name [ TEXT ] , date_became_customer [ TEXT ] , other_customer_details [ TEXT ] | Customer_Addresses : customer_id [ INT ] Customer_Addresses.customer_id = Customers.customer_id , address_id [ INT ] Customer_Addresses.address_id = Addresses.address_id , date_address_from [ TEXT ] , address_type [ TEXT ] , date_address_to [ TEXT ] | Customer_Contact_Channels : customer_id [ INT ] Customer_Contact_Channels.customer_id = Customers.customer_id , channel_code [ TEXT ] , active_from_date [ TEXT ] , active_to_date [ TEXT ] , contact_number [ TEXT ] | Customer_Orders : order_id [ INT ] primary_key , customer_id [ INT ] Customer_Orders.customer_id = Customers.customer_id , order_status [ TEXT ] , order_date [ TEXT ] , order_details [ TEXT ] | Order_Items : order_id [ INT ] Order_Items.order_id = Customer_Orders.order_id , product_id [ INT ] Order_Items.product_id = Products.product_id , 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; |
-- Database schema
| Addresses : address_id [ INT ] primary_key , address_content [ TEXT ] , city [ TEXT ] , zip_postcode [ TEXT ] , state_province_county [ TEXT ] , country [ TEXT ] , other_address_details [ TEXT ] | Products : product_id [ INT ] primary_key , product_details [ TEXT ] | Customers : customer_id [ INT ] primary_key , payment_method [ TEXT ] , customer_name [ TEXT ] , date_became_customer [ TEXT ] , other_customer_details [ TEXT ] | Customer_Addresses : customer_id [ INT ] Customer_Addresses.customer_id = Customers.customer_id , address_id [ INT ] Customer_Addresses.address_id = Addresses.address_id , date_address_from [ TEXT ] , address_type [ TEXT ] , date_address_to [ TEXT ] | Customer_Contact_Channels : customer_id [ INT ] Customer_Contact_Channels.customer_id = Customers.customer_id , channel_code [ TEXT ] , active_from_date [ TEXT ] , active_to_date [ TEXT ] , contact_number [ TEXT ] | Customer_Orders : order_id [ INT ] primary_key , customer_id [ INT ] Customer_Orders.customer_id = Customers.customer_id , order_status [ TEXT ] , order_date [ TEXT ] , order_details [ TEXT ] | Order_Items : order_id [ INT ] Order_Items.order_id = Customer_Orders.order_id , product_id [ INT ] Order_Items.product_id = Products.product_id , order_quantity [ TEXT ] |
-- -- Compute the average active time span of contact channels.
| SELECT avg(active_to_date - active_from_date) FROM customer_contact_channels; |
-- Database schema
| Addresses : address_id [ INT ] primary_key , address_content [ TEXT ] , city [ TEXT ] , zip_postcode [ TEXT ] , state_province_county [ TEXT ] , country [ TEXT ] , other_address_details [ TEXT ] | Products : product_id [ INT ] primary_key , product_details [ TEXT ] | Customers : customer_id [ INT ] primary_key , payment_method [ TEXT ] , customer_name [ TEXT ] , date_became_customer [ TEXT ] , other_customer_details [ TEXT ] | Customer_Addresses : customer_id [ INT ] Customer_Addresses.customer_id = Customers.customer_id , address_id [ INT ] Customer_Addresses.address_id = Addresses.address_id , date_address_from [ TEXT ] , address_type [ TEXT ] , date_address_to [ TEXT ] | Customer_Contact_Channels : customer_id [ INT ] Customer_Contact_Channels.customer_id = Customers.customer_id , channel_code [ TEXT ] , active_from_date [ TEXT ] , active_to_date [ TEXT ] , contact_number [ TEXT ] | Customer_Orders : order_id [ INT ] primary_key , customer_id [ INT ] Customer_Orders.customer_id = Customers.customer_id , order_status [ TEXT ] , order_date [ TEXT ] , order_details [ TEXT ] | Order_Items : order_id [ INT ] Order_Items.order_id = Customer_Orders.order_id , product_id [ INT ] Order_Items.product_id = Products.product_id , 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); |
-- Database schema
| Addresses : address_id [ INT ] primary_key , address_content [ TEXT ] , city [ TEXT ] , zip_postcode [ TEXT ] , state_province_county [ TEXT ] , country [ TEXT ] , other_address_details [ TEXT ] | Products : product_id [ INT ] primary_key , product_details [ TEXT ] | Customers : customer_id [ INT ] primary_key , payment_method [ TEXT ] , customer_name [ TEXT ] , date_became_customer [ TEXT ] , other_customer_details [ TEXT ] | Customer_Addresses : customer_id [ INT ] Customer_Addresses.customer_id = Customers.customer_id , address_id [ INT ] Customer_Addresses.address_id = Addresses.address_id , date_address_from [ TEXT ] , address_type [ TEXT ] , date_address_to [ TEXT ] | Customer_Contact_Channels : customer_id [ INT ] Customer_Contact_Channels.customer_id = Customers.customer_id , channel_code [ TEXT ] , active_from_date [ TEXT ] , active_to_date [ TEXT ] , contact_number [ TEXT ] | Customer_Orders : order_id [ INT ] primary_key , customer_id [ INT ] Customer_Orders.customer_id = Customers.customer_id , order_status [ TEXT ] , order_date [ TEXT ] , order_details [ TEXT ] | Order_Items : order_id [ INT ] Order_Items.order_id = Customer_Orders.order_id , product_id [ INT ] Order_Items.product_id = Products.product_id , 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); |
-- Database schema
| Addresses : address_id [ INT ] primary_key , address_content [ TEXT ] , city [ TEXT ] , zip_postcode [ TEXT ] , state_province_county [ TEXT ] , country [ TEXT ] , other_address_details [ TEXT ] | Products : product_id [ INT ] primary_key , product_details [ TEXT ] | Customers : customer_id [ INT ] primary_key , payment_method [ TEXT ] , customer_name [ TEXT ] , date_became_customer [ TEXT ] , other_customer_details [ TEXT ] | Customer_Addresses : customer_id [ INT ] Customer_Addresses.customer_id = Customers.customer_id , address_id [ INT ] Customer_Addresses.address_id = Addresses.address_id , date_address_from [ TEXT ] , address_type [ TEXT ] , date_address_to [ TEXT ] | Customer_Contact_Channels : customer_id [ INT ] Customer_Contact_Channels.customer_id = Customers.customer_id , channel_code [ TEXT ] , active_from_date [ TEXT ] , active_to_date [ TEXT ] , contact_number [ TEXT ] | Customer_Orders : order_id [ INT ] primary_key , customer_id [ INT ] Customer_Orders.customer_id = Customers.customer_id , order_status [ TEXT ] , order_date [ TEXT ] , order_details [ TEXT ] | Order_Items : order_id [ INT ] Order_Items.order_id = Customer_Orders.order_id , product_id [ INT ] Order_Items.product_id = Products.product_id , 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'; |
-- Database schema
| Addresses : address_id [ INT ] primary_key , address_content [ TEXT ] , city [ TEXT ] , zip_postcode [ TEXT ] , state_province_county [ TEXT ] , country [ TEXT ] , other_address_details [ TEXT ] | Products : product_id [ INT ] primary_key , product_details [ TEXT ] | Customers : customer_id [ INT ] primary_key , payment_method [ TEXT ] , customer_name [ TEXT ] , date_became_customer [ TEXT ] , other_customer_details [ TEXT ] | Customer_Addresses : customer_id [ INT ] Customer_Addresses.customer_id = Customers.customer_id , address_id [ INT ] Customer_Addresses.address_id = Addresses.address_id , date_address_from [ TEXT ] , address_type [ TEXT ] , date_address_to [ TEXT ] | Customer_Contact_Channels : customer_id [ INT ] Customer_Contact_Channels.customer_id = Customers.customer_id , channel_code [ TEXT ] , active_from_date [ TEXT ] , active_to_date [ TEXT ] , contact_number [ TEXT ] | Customer_Orders : order_id [ INT ] primary_key , customer_id [ INT ] Customer_Orders.customer_id = Customers.customer_id , order_status [ TEXT ] , order_date [ TEXT ] , order_details [ TEXT ] | Order_Items : order_id [ INT ] Order_Items.order_id = Customer_Orders.order_id , product_id [ INT ] Order_Items.product_id = Products.product_id , 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'; |
-- Database schema
| Addresses : address_id [ INT ] primary_key , address_content [ TEXT ] , city [ TEXT ] , zip_postcode [ TEXT ] , state_province_county [ TEXT ] , country [ TEXT ] , other_address_details [ TEXT ] | Products : product_id [ INT ] primary_key , product_details [ TEXT ] | Customers : customer_id [ INT ] primary_key , payment_method [ TEXT ] , customer_name [ TEXT ] , date_became_customer [ TEXT ] , other_customer_details [ TEXT ] | Customer_Addresses : customer_id [ INT ] Customer_Addresses.customer_id = Customers.customer_id , address_id [ INT ] Customer_Addresses.address_id = Addresses.address_id , date_address_from [ TEXT ] , address_type [ TEXT ] , date_address_to [ TEXT ] | Customer_Contact_Channels : customer_id [ INT ] Customer_Contact_Channels.customer_id = Customers.customer_id , channel_code [ TEXT ] , active_from_date [ TEXT ] , active_to_date [ TEXT ] , contact_number [ TEXT ] | Customer_Orders : order_id [ INT ] primary_key , customer_id [ INT ] Customer_Orders.customer_id = Customers.customer_id , order_status [ TEXT ] , order_date [ TEXT ] , order_details [ TEXT ] | Order_Items : order_id [ INT ] Order_Items.order_id = Customer_Orders.order_id , product_id [ INT ] Order_Items.product_id = Products.product_id , 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); |
-- Database schema
| Addresses : address_id [ INT ] primary_key , address_content [ TEXT ] , city [ TEXT ] , zip_postcode [ TEXT ] , state_province_county [ TEXT ] , country [ TEXT ] , other_address_details [ TEXT ] | Products : product_id [ INT ] primary_key , product_details [ TEXT ] | Customers : customer_id [ INT ] primary_key , payment_method [ TEXT ] , customer_name [ TEXT ] , date_became_customer [ TEXT ] , other_customer_details [ TEXT ] | Customer_Addresses : customer_id [ INT ] Customer_Addresses.customer_id = Customers.customer_id , address_id [ INT ] Customer_Addresses.address_id = Addresses.address_id , date_address_from [ TEXT ] , address_type [ TEXT ] , date_address_to [ TEXT ] | Customer_Contact_Channels : customer_id [ INT ] Customer_Contact_Channels.customer_id = Customers.customer_id , channel_code [ TEXT ] , active_from_date [ TEXT ] , active_to_date [ TEXT ] , contact_number [ TEXT ] | Customer_Orders : order_id [ INT ] primary_key , customer_id [ INT ] Customer_Orders.customer_id = Customers.customer_id , order_status [ TEXT ] , order_date [ TEXT ] , order_details [ TEXT ] | Order_Items : order_id [ INT ] Order_Items.order_id = Customer_Orders.order_id , product_id [ INT ] Order_Items.product_id = Products.product_id , 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); |
-- Database schema
| Addresses : address_id [ INT ] primary_key , address_content [ TEXT ] , city [ TEXT ] , zip_postcode [ TEXT ] , state_province_county [ TEXT ] , country [ TEXT ] , other_address_details [ TEXT ] | Products : product_id [ INT ] primary_key , product_details [ TEXT ] | Customers : customer_id [ INT ] primary_key , payment_method [ TEXT ] , customer_name [ TEXT ] , date_became_customer [ TEXT ] , other_customer_details [ TEXT ] | Customer_Addresses : customer_id [ INT ] Customer_Addresses.customer_id = Customers.customer_id , address_id [ INT ] Customer_Addresses.address_id = Addresses.address_id , date_address_from [ TEXT ] , address_type [ TEXT ] , date_address_to [ TEXT ] | Customer_Contact_Channels : customer_id [ INT ] Customer_Contact_Channels.customer_id = Customers.customer_id , channel_code [ TEXT ] , active_from_date [ TEXT ] , active_to_date [ TEXT ] , contact_number [ TEXT ] | Customer_Orders : order_id [ INT ] primary_key , customer_id [ INT ] Customer_Orders.customer_id = Customers.customer_id , order_status [ TEXT ] , order_date [ TEXT ] , order_details [ TEXT ] | Order_Items : order_id [ INT ] Order_Items.order_id = Customer_Orders.order_id , product_id [ INT ] Order_Items.product_id = Products.product_id , 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; |
-- Database schema
| Addresses : address_id [ INT ] primary_key , address_content [ TEXT ] , city [ TEXT ] , zip_postcode [ TEXT ] , state_province_county [ TEXT ] , country [ TEXT ] , other_address_details [ TEXT ] | Products : product_id [ INT ] primary_key , product_details [ TEXT ] | Customers : customer_id [ INT ] primary_key , payment_method [ TEXT ] , customer_name [ TEXT ] , date_became_customer [ TEXT ] , other_customer_details [ TEXT ] | Customer_Addresses : customer_id [ INT ] Customer_Addresses.customer_id = Customers.customer_id , address_id [ INT ] Customer_Addresses.address_id = Addresses.address_id , date_address_from [ TEXT ] , address_type [ TEXT ] , date_address_to [ TEXT ] | Customer_Contact_Channels : customer_id [ INT ] Customer_Contact_Channels.customer_id = Customers.customer_id , channel_code [ TEXT ] , active_from_date [ TEXT ] , active_to_date [ TEXT ] , contact_number [ TEXT ] | Customer_Orders : order_id [ INT ] primary_key , customer_id [ INT ] Customer_Orders.customer_id = Customers.customer_id , order_status [ TEXT ] , order_date [ TEXT ] , order_details [ TEXT ] | Order_Items : order_id [ INT ] Order_Items.order_id = Customer_Orders.order_id , product_id [ INT ] Order_Items.product_id = Products.product_id , 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; |
-- Database schema
| Addresses : address_id [ INT ] primary_key , address_content [ TEXT ] , city [ TEXT ] , zip_postcode [ TEXT ] , state_province_county [ TEXT ] , country [ TEXT ] , other_address_details [ TEXT ] | Products : product_id [ INT ] primary_key , product_details [ TEXT ] | Customers : customer_id [ INT ] primary_key , payment_method [ TEXT ] , customer_name [ TEXT ] , date_became_customer [ TEXT ] , other_customer_details [ TEXT ] | Customer_Addresses : customer_id [ INT ] Customer_Addresses.customer_id = Customers.customer_id , address_id [ INT ] Customer_Addresses.address_id = Addresses.address_id , date_address_from [ TEXT ] , address_type [ TEXT ] , date_address_to [ TEXT ] | Customer_Contact_Channels : customer_id [ INT ] Customer_Contact_Channels.customer_id = Customers.customer_id , channel_code [ TEXT ] , active_from_date [ TEXT ] , active_to_date [ TEXT ] , contact_number [ TEXT ] | Customer_Orders : order_id [ INT ] primary_key , customer_id [ INT ] Customer_Orders.customer_id = Customers.customer_id , order_status [ TEXT ] , order_date [ TEXT ] , order_details [ TEXT ] | Order_Items : order_id [ INT ] Order_Items.order_id = Customer_Orders.order_id , product_id [ INT ] Order_Items.product_id = Products.product_id , 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; |
-- Database schema
| Addresses : address_id [ INT ] primary_key , address_content [ TEXT ] , city [ TEXT ] , zip_postcode [ TEXT ] , state_province_county [ TEXT ] , country [ TEXT ] , other_address_details [ TEXT ] | Products : product_id [ INT ] primary_key , product_details [ TEXT ] | Customers : customer_id [ INT ] primary_key , payment_method [ TEXT ] , customer_name [ TEXT ] , date_became_customer [ TEXT ] , other_customer_details [ TEXT ] | Customer_Addresses : customer_id [ INT ] Customer_Addresses.customer_id = Customers.customer_id , address_id [ INT ] Customer_Addresses.address_id = Addresses.address_id , date_address_from [ TEXT ] , address_type [ TEXT ] , date_address_to [ TEXT ] | Customer_Contact_Channels : customer_id [ INT ] Customer_Contact_Channels.customer_id = Customers.customer_id , channel_code [ TEXT ] , active_from_date [ TEXT ] , active_to_date [ TEXT ] , contact_number [ TEXT ] | Customer_Orders : order_id [ INT ] primary_key , customer_id [ INT ] Customer_Orders.customer_id = Customers.customer_id , order_status [ TEXT ] , order_date [ TEXT ] , order_details [ TEXT ] | Order_Items : order_id [ INT ] Order_Items.order_id = Customer_Orders.order_id , product_id [ INT ] Order_Items.product_id = Products.product_id , 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; |
-- Database schema
| Addresses : address_id [ INT ] primary_key , address_content [ TEXT ] , city [ TEXT ] , zip_postcode [ TEXT ] , state_province_county [ TEXT ] , country [ TEXT ] , other_address_details [ TEXT ] | Products : product_id [ INT ] primary_key , product_details [ TEXT ] | Customers : customer_id [ INT ] primary_key , payment_method [ TEXT ] , customer_name [ TEXT ] , date_became_customer [ TEXT ] , other_customer_details [ TEXT ] | Customer_Addresses : customer_id [ INT ] Customer_Addresses.customer_id = Customers.customer_id , address_id [ INT ] Customer_Addresses.address_id = Addresses.address_id , date_address_from [ TEXT ] , address_type [ TEXT ] , date_address_to [ TEXT ] | Customer_Contact_Channels : customer_id [ INT ] Customer_Contact_Channels.customer_id = Customers.customer_id , channel_code [ TEXT ] , active_from_date [ TEXT ] , active_to_date [ TEXT ] , contact_number [ TEXT ] | Customer_Orders : order_id [ INT ] primary_key , customer_id [ INT ] Customer_Orders.customer_id = Customers.customer_id , order_status [ TEXT ] , order_date [ TEXT ] , order_details [ TEXT ] | Order_Items : order_id [ INT ] Order_Items.order_id = Customer_Orders.order_id , product_id [ INT ] Order_Items.product_id = Products.product_id , 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"; |
-- Database schema
| Addresses : address_id [ INT ] primary_key , address_content [ TEXT ] , city [ TEXT ] , zip_postcode [ TEXT ] , state_province_county [ TEXT ] , country [ TEXT ] , other_address_details [ TEXT ] | Products : product_id [ INT ] primary_key , product_details [ TEXT ] | Customers : customer_id [ INT ] primary_key , payment_method [ TEXT ] , customer_name [ TEXT ] , date_became_customer [ TEXT ] , other_customer_details [ TEXT ] | Customer_Addresses : customer_id [ INT ] Customer_Addresses.customer_id = Customers.customer_id , address_id [ INT ] Customer_Addresses.address_id = Addresses.address_id , date_address_from [ TEXT ] , address_type [ TEXT ] , date_address_to [ TEXT ] | Customer_Contact_Channels : customer_id [ INT ] Customer_Contact_Channels.customer_id = Customers.customer_id , channel_code [ TEXT ] , active_from_date [ TEXT ] , active_to_date [ TEXT ] , contact_number [ TEXT ] | Customer_Orders : order_id [ INT ] primary_key , customer_id [ INT ] Customer_Orders.customer_id = Customers.customer_id , order_status [ TEXT ] , order_date [ TEXT ] , order_details [ TEXT ] | Order_Items : order_id [ INT ] Order_Items.order_id = Customer_Orders.order_id , product_id [ INT ] Order_Items.product_id = Products.product_id , 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"; |
-- Database schema
| Addresses : address_id [ INT ] primary_key , address_content [ TEXT ] , city [ TEXT ] , zip_postcode [ TEXT ] , state_province_county [ TEXT ] , country [ TEXT ] , other_address_details [ TEXT ] | Products : product_id [ INT ] primary_key , product_details [ TEXT ] | Customers : customer_id [ INT ] primary_key , payment_method [ TEXT ] , customer_name [ TEXT ] , date_became_customer [ TEXT ] , other_customer_details [ TEXT ] | Customer_Addresses : customer_id [ INT ] Customer_Addresses.customer_id = Customers.customer_id , address_id [ INT ] Customer_Addresses.address_id = Addresses.address_id , date_address_from [ TEXT ] , address_type [ TEXT ] , date_address_to [ TEXT ] | Customer_Contact_Channels : customer_id [ INT ] Customer_Contact_Channels.customer_id = Customers.customer_id , channel_code [ TEXT ] , active_from_date [ TEXT ] , active_to_date [ TEXT ] , contact_number [ TEXT ] | Customer_Orders : order_id [ INT ] primary_key , customer_id [ INT ] Customer_Orders.customer_id = Customers.customer_id , order_status [ TEXT ] , order_date [ TEXT ] , order_details [ TEXT ] | Order_Items : order_id [ INT ] Order_Items.order_id = Customer_Orders.order_id , product_id [ INT ] Order_Items.product_id = Products.product_id , 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"; |
-- Database schema
| Addresses : address_id [ INT ] primary_key , address_content [ TEXT ] , city [ TEXT ] , zip_postcode [ TEXT ] , state_province_county [ TEXT ] , country [ TEXT ] , other_address_details [ TEXT ] | Products : product_id [ INT ] primary_key , product_details [ TEXT ] | Customers : customer_id [ INT ] primary_key , payment_method [ TEXT ] , customer_name [ TEXT ] , date_became_customer [ TEXT ] , other_customer_details [ TEXT ] | Customer_Addresses : customer_id [ INT ] Customer_Addresses.customer_id = Customers.customer_id , address_id [ INT ] Customer_Addresses.address_id = Addresses.address_id , date_address_from [ TEXT ] , address_type [ TEXT ] , date_address_to [ TEXT ] | Customer_Contact_Channels : customer_id [ INT ] Customer_Contact_Channels.customer_id = Customers.customer_id , channel_code [ TEXT ] , active_from_date [ TEXT ] , active_to_date [ TEXT ] , contact_number [ TEXT ] | Customer_Orders : order_id [ INT ] primary_key , customer_id [ INT ] Customer_Orders.customer_id = Customers.customer_id , order_status [ TEXT ] , order_date [ TEXT ] , order_details [ TEXT ] | Order_Items : order_id [ INT ] Order_Items.order_id = Customer_Orders.order_id , product_id [ INT ] Order_Items.product_id = Products.product_id , 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"; |
-- Database schema
| Addresses : address_id [ INT ] primary_key , address_content [ TEXT ] , city [ TEXT ] , zip_postcode [ TEXT ] , state_province_county [ TEXT ] , country [ TEXT ] , other_address_details [ TEXT ] | Products : product_id [ INT ] primary_key , product_details [ TEXT ] | Customers : customer_id [ INT ] primary_key , payment_method [ TEXT ] , customer_name [ TEXT ] , date_became_customer [ TEXT ] , other_customer_details [ TEXT ] | Customer_Addresses : customer_id [ INT ] Customer_Addresses.customer_id = Customers.customer_id , address_id [ INT ] Customer_Addresses.address_id = Addresses.address_id , date_address_from [ TEXT ] , address_type [ TEXT ] , date_address_to [ TEXT ] | Customer_Contact_Channels : customer_id [ INT ] Customer_Contact_Channels.customer_id = Customers.customer_id , channel_code [ TEXT ] , active_from_date [ TEXT ] , active_to_date [ TEXT ] , contact_number [ TEXT ] | Customer_Orders : order_id [ INT ] primary_key , customer_id [ INT ] Customer_Orders.customer_id = Customers.customer_id , order_status [ TEXT ] , order_date [ TEXT ] , order_details [ TEXT ] | Order_Items : order_id [ INT ] Order_Items.order_id = Customer_Orders.order_id , product_id [ INT ] Order_Items.product_id = Products.product_id , 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"; |
-- Database schema
| Addresses : address_id [ INT ] primary_key , address_content [ TEXT ] , city [ TEXT ] , zip_postcode [ TEXT ] , state_province_county [ TEXT ] , country [ TEXT ] , other_address_details [ TEXT ] | Products : product_id [ INT ] primary_key , product_details [ TEXT ] | Customers : customer_id [ INT ] primary_key , payment_method [ TEXT ] , customer_name [ TEXT ] , date_became_customer [ TEXT ] , other_customer_details [ TEXT ] | Customer_Addresses : customer_id [ INT ] Customer_Addresses.customer_id = Customers.customer_id , address_id [ INT ] Customer_Addresses.address_id = Addresses.address_id , date_address_from [ TEXT ] , address_type [ TEXT ] , date_address_to [ TEXT ] | Customer_Contact_Channels : customer_id [ INT ] Customer_Contact_Channels.customer_id = Customers.customer_id , channel_code [ TEXT ] , active_from_date [ TEXT ] , active_to_date [ TEXT ] , contact_number [ TEXT ] | Customer_Orders : order_id [ INT ] primary_key , customer_id [ INT ] Customer_Orders.customer_id = Customers.customer_id , order_status [ TEXT ] , order_date [ TEXT ] , order_details [ TEXT ] | Order_Items : order_id [ INT ] Order_Items.order_id = Customer_Orders.order_id , product_id [ INT ] Order_Items.product_id = Products.product_id , 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"; |
-- Database schema
| Addresses : address_id [ INT ] primary_key , address_content [ TEXT ] , city [ TEXT ] , zip_postcode [ TEXT ] , state_province_county [ TEXT ] , country [ TEXT ] , other_address_details [ TEXT ] | Products : product_id [ INT ] primary_key , product_details [ TEXT ] | Customers : customer_id [ INT ] primary_key , payment_method [ TEXT ] , customer_name [ TEXT ] , date_became_customer [ TEXT ] , other_customer_details [ TEXT ] | Customer_Addresses : customer_id [ INT ] Customer_Addresses.customer_id = Customers.customer_id , address_id [ INT ] Customer_Addresses.address_id = Addresses.address_id , date_address_from [ TEXT ] , address_type [ TEXT ] , date_address_to [ TEXT ] | Customer_Contact_Channels : customer_id [ INT ] Customer_Contact_Channels.customer_id = Customers.customer_id , channel_code [ TEXT ] , active_from_date [ TEXT ] , active_to_date [ TEXT ] , contact_number [ TEXT ] | Customer_Orders : order_id [ INT ] primary_key , customer_id [ INT ] Customer_Orders.customer_id = Customers.customer_id , order_status [ TEXT ] , order_date [ TEXT ] , order_details [ TEXT ] | Order_Items : order_id [ INT ] Order_Items.order_id = Customer_Orders.order_id , product_id [ INT ] Order_Items.product_id = Products.product_id , order_quantity [ TEXT ] |
-- -- How many orders have detail "Second time"?
| SELECT count(*) FROM customer_orders WHERE order_details = "Second time"; |
-- Database schema
| Addresses : address_id [ INT ] primary_key , address_content [ TEXT ] , city [ TEXT ] , zip_postcode [ TEXT ] , state_province_county [ TEXT ] , country [ TEXT ] , other_address_details [ TEXT ] | Products : product_id [ INT ] primary_key , product_details [ TEXT ] | Customers : customer_id [ INT ] primary_key , payment_method [ TEXT ] , customer_name [ TEXT ] , date_became_customer [ TEXT ] , other_customer_details [ TEXT ] | Customer_Addresses : customer_id [ INT ] Customer_Addresses.customer_id = Customers.customer_id , address_id [ INT ] Customer_Addresses.address_id = Addresses.address_id , date_address_from [ TEXT ] , address_type [ TEXT ] , date_address_to [ TEXT ] | Customer_Contact_Channels : customer_id [ INT ] Customer_Contact_Channels.customer_id = Customers.customer_id , channel_code [ TEXT ] , active_from_date [ TEXT ] , active_to_date [ TEXT ] , contact_number [ TEXT ] | Customer_Orders : order_id [ INT ] primary_key , customer_id [ INT ] Customer_Orders.customer_id = Customers.customer_id , order_status [ TEXT ] , order_date [ TEXT ] , order_details [ TEXT ] | Order_Items : order_id [ INT ] Order_Items.order_id = Customer_Orders.order_id , product_id [ INT ] Order_Items.product_id = Products.product_id , 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"; |
-- Database schema
| Addresses : address_id [ INT ] primary_key , address_content [ TEXT ] , city [ TEXT ] , zip_postcode [ TEXT ] , state_province_county [ TEXT ] , country [ TEXT ] , other_address_details [ TEXT ] | Products : product_id [ INT ] primary_key , product_details [ TEXT ] | Customers : customer_id [ INT ] primary_key , payment_method [ TEXT ] , customer_name [ TEXT ] , date_became_customer [ TEXT ] , other_customer_details [ TEXT ] | Customer_Addresses : customer_id [ INT ] Customer_Addresses.customer_id = Customers.customer_id , address_id [ INT ] Customer_Addresses.address_id = Addresses.address_id , date_address_from [ TEXT ] , address_type [ TEXT ] , date_address_to [ TEXT ] | Customer_Contact_Channels : customer_id [ INT ] Customer_Contact_Channels.customer_id = Customers.customer_id , channel_code [ TEXT ] , active_from_date [ TEXT ] , active_to_date [ TEXT ] , contact_number [ TEXT ] | Customer_Orders : order_id [ INT ] primary_key , customer_id [ INT ] Customer_Orders.customer_id = Customers.customer_id , order_status [ TEXT ] , order_date [ TEXT ] , order_details [ TEXT ] | Order_Items : order_id [ INT ] Order_Items.order_id = Customer_Orders.order_id , product_id [ INT ] Order_Items.product_id = Products.product_id , 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"; |
-- Database schema
| Addresses : address_id [ INT ] primary_key , address_content [ TEXT ] , city [ TEXT ] , zip_postcode [ TEXT ] , state_province_county [ TEXT ] , country [ TEXT ] , other_address_details [ TEXT ] | Products : product_id [ INT ] primary_key , product_details [ TEXT ] | Customers : customer_id [ INT ] primary_key , payment_method [ TEXT ] , customer_name [ TEXT ] , date_became_customer [ TEXT ] , other_customer_details [ TEXT ] | Customer_Addresses : customer_id [ INT ] Customer_Addresses.customer_id = Customers.customer_id , address_id [ INT ] Customer_Addresses.address_id = Addresses.address_id , date_address_from [ TEXT ] , address_type [ TEXT ] , date_address_to [ TEXT ] | Customer_Contact_Channels : customer_id [ INT ] Customer_Contact_Channels.customer_id = Customers.customer_id , channel_code [ TEXT ] , active_from_date [ TEXT ] , active_to_date [ TEXT ] , contact_number [ TEXT ] | Customer_Orders : order_id [ INT ] primary_key , customer_id [ INT ] Customer_Orders.customer_id = Customers.customer_id , order_status [ TEXT ] , order_date [ TEXT ] , order_details [ TEXT ] | Order_Items : order_id [ INT ] Order_Items.order_id = Customer_Orders.order_id , product_id [ INT ] Order_Items.product_id = Products.product_id , 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"; |
-- Database schema
| Addresses : address_id [ INT ] primary_key , address_content [ TEXT ] , city [ TEXT ] , zip_postcode [ TEXT ] , state_province_county [ TEXT ] , country [ TEXT ] , other_address_details [ TEXT ] | Products : product_id [ INT ] primary_key , product_details [ TEXT ] | Customers : customer_id [ INT ] primary_key , payment_method [ TEXT ] , customer_name [ TEXT ] , date_became_customer [ TEXT ] , other_customer_details [ TEXT ] | Customer_Addresses : customer_id [ INT ] Customer_Addresses.customer_id = Customers.customer_id , address_id [ INT ] Customer_Addresses.address_id = Addresses.address_id , date_address_from [ TEXT ] , address_type [ TEXT ] , date_address_to [ TEXT ] | Customer_Contact_Channels : customer_id [ INT ] Customer_Contact_Channels.customer_id = Customers.customer_id , channel_code [ TEXT ] , active_from_date [ TEXT ] , active_to_date [ TEXT ] , contact_number [ TEXT ] | Customer_Orders : order_id [ INT ] primary_key , customer_id [ INT ] Customer_Orders.customer_id = Customers.customer_id , order_status [ TEXT ] , order_date [ TEXT ] , order_details [ TEXT ] | Order_Items : order_id [ INT ] Order_Items.order_id = Customer_Orders.order_id , product_id [ INT ] Order_Items.product_id = Products.product_id , 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"; |
-- Database schema
| Addresses : address_id [ INT ] primary_key , address_content [ TEXT ] , city [ TEXT ] , zip_postcode [ TEXT ] , state_province_county [ TEXT ] , country [ TEXT ] , other_address_details [ TEXT ] | Products : product_id [ INT ] primary_key , product_details [ TEXT ] | Customers : customer_id [ INT ] primary_key , payment_method [ TEXT ] , customer_name [ TEXT ] , date_became_customer [ TEXT ] , other_customer_details [ TEXT ] | Customer_Addresses : customer_id [ INT ] Customer_Addresses.customer_id = Customers.customer_id , address_id [ INT ] Customer_Addresses.address_id = Addresses.address_id , date_address_from [ TEXT ] , address_type [ TEXT ] , date_address_to [ TEXT ] | Customer_Contact_Channels : customer_id [ INT ] Customer_Contact_Channels.customer_id = Customers.customer_id , channel_code [ TEXT ] , active_from_date [ TEXT ] , active_to_date [ TEXT ] , contact_number [ TEXT ] | Customer_Orders : order_id [ INT ] primary_key , customer_id [ INT ] Customer_Orders.customer_id = Customers.customer_id , order_status [ TEXT ] , order_date [ TEXT ] , order_details [ TEXT ] | Order_Items : order_id [ INT ] Order_Items.order_id = Customer_Orders.order_id , product_id [ INT ] Order_Items.product_id = Products.product_id , 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"; |
-- Database schema
| Addresses : address_id [ INT ] primary_key , address_content [ TEXT ] , city [ TEXT ] , zip_postcode [ TEXT ] , state_province_county [ TEXT ] , country [ TEXT ] , other_address_details [ TEXT ] | Products : product_id [ INT ] primary_key , product_details [ TEXT ] | Customers : customer_id [ INT ] primary_key , payment_method [ TEXT ] , customer_name [ TEXT ] , date_became_customer [ TEXT ] , other_customer_details [ TEXT ] | Customer_Addresses : customer_id [ INT ] Customer_Addresses.customer_id = Customers.customer_id , address_id [ INT ] Customer_Addresses.address_id = Addresses.address_id , date_address_from [ TEXT ] , address_type [ TEXT ] , date_address_to [ TEXT ] | Customer_Contact_Channels : customer_id [ INT ] Customer_Contact_Channels.customer_id = Customers.customer_id , channel_code [ TEXT ] , active_from_date [ TEXT ] , active_to_date [ TEXT ] , contact_number [ TEXT ] | Customer_Orders : order_id [ INT ] primary_key , customer_id [ INT ] Customer_Orders.customer_id = Customers.customer_id , order_status [ TEXT ] , order_date [ TEXT ] , order_details [ TEXT ] | Order_Items : order_id [ INT ] Order_Items.order_id = Customer_Orders.order_id , product_id [ INT ] Order_Items.product_id = Products.product_id , 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"; |
-- Database schema
| Addresses : address_id [ INT ] primary_key , address_content [ TEXT ] , city [ TEXT ] , zip_postcode [ TEXT ] , state_province_county [ TEXT ] , country [ TEXT ] , other_address_details [ TEXT ] | Products : product_id [ INT ] primary_key , product_details [ TEXT ] | Customers : customer_id [ INT ] primary_key , payment_method [ TEXT ] , customer_name [ TEXT ] , date_became_customer [ TEXT ] , other_customer_details [ TEXT ] | Customer_Addresses : customer_id [ INT ] Customer_Addresses.customer_id = Customers.customer_id , address_id [ INT ] Customer_Addresses.address_id = Addresses.address_id , date_address_from [ TEXT ] , address_type [ TEXT ] , date_address_to [ TEXT ] | Customer_Contact_Channels : customer_id [ INT ] Customer_Contact_Channels.customer_id = Customers.customer_id , channel_code [ TEXT ] , active_from_date [ TEXT ] , active_to_date [ TEXT ] , contact_number [ TEXT ] | Customer_Orders : order_id [ INT ] primary_key , customer_id [ INT ] Customer_Orders.customer_id = Customers.customer_id , order_status [ TEXT ] , order_date [ TEXT ] , order_details [ TEXT ] | Order_Items : order_id [ INT ] Order_Items.order_id = Customer_Orders.order_id , product_id [ INT ] Order_Items.product_id = Products.product_id , 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"; |
-- Database schema
| Addresses : address_id [ INT ] primary_key , address_content [ TEXT ] , city [ TEXT ] , zip_postcode [ TEXT ] , state_province_county [ TEXT ] , country [ TEXT ] , other_address_details [ TEXT ] | Products : product_id [ INT ] primary_key , product_details [ TEXT ] | Customers : customer_id [ INT ] primary_key , payment_method [ TEXT ] , customer_name [ TEXT ] , date_became_customer [ TEXT ] , other_customer_details [ TEXT ] | Customer_Addresses : customer_id [ INT ] Customer_Addresses.customer_id = Customers.customer_id , address_id [ INT ] Customer_Addresses.address_id = Addresses.address_id , date_address_from [ TEXT ] , address_type [ TEXT ] , date_address_to [ TEXT ] | Customer_Contact_Channels : customer_id [ INT ] Customer_Contact_Channels.customer_id = Customers.customer_id , channel_code [ TEXT ] , active_from_date [ TEXT ] , active_to_date [ TEXT ] , contact_number [ TEXT ] | Customer_Orders : order_id [ INT ] primary_key , customer_id [ INT ] Customer_Orders.customer_id = Customers.customer_id , order_status [ TEXT ] , order_date [ TEXT ] , order_details [ TEXT ] | Order_Items : order_id [ INT ] Order_Items.order_id = Customer_Orders.order_id , product_id [ INT ] Order_Items.product_id = Products.product_id , 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; |
-- Database schema
| Addresses : address_id [ INT ] primary_key , address_content [ TEXT ] , city [ TEXT ] , zip_postcode [ TEXT ] , state_province_county [ TEXT ] , country [ TEXT ] , other_address_details [ TEXT ] | Products : product_id [ INT ] primary_key , product_details [ TEXT ] | Customers : customer_id [ INT ] primary_key , payment_method [ TEXT ] , customer_name [ TEXT ] , date_became_customer [ TEXT ] , other_customer_details [ TEXT ] | Customer_Addresses : customer_id [ INT ] Customer_Addresses.customer_id = Customers.customer_id , address_id [ INT ] Customer_Addresses.address_id = Addresses.address_id , date_address_from [ TEXT ] , address_type [ TEXT ] , date_address_to [ TEXT ] | Customer_Contact_Channels : customer_id [ INT ] Customer_Contact_Channels.customer_id = Customers.customer_id , channel_code [ TEXT ] , active_from_date [ TEXT ] , active_to_date [ TEXT ] , contact_number [ TEXT ] | Customer_Orders : order_id [ INT ] primary_key , customer_id [ INT ] Customer_Orders.customer_id = Customers.customer_id , order_status [ TEXT ] , order_date [ TEXT ] , order_details [ TEXT ] | Order_Items : order_id [ INT ] Order_Items.order_id = Customer_Orders.order_id , product_id [ INT ] Order_Items.product_id = Products.product_id , 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; |
-- Database schema
| Addresses : address_id [ INT ] primary_key , address_content [ TEXT ] , city [ TEXT ] , zip_postcode [ TEXT ] , state_province_county [ TEXT ] , country [ TEXT ] , other_address_details [ TEXT ] | Products : product_id [ INT ] primary_key , product_details [ TEXT ] | Customers : customer_id [ INT ] primary_key , payment_method [ TEXT ] , customer_name [ TEXT ] , date_became_customer [ TEXT ] , other_customer_details [ TEXT ] | Customer_Addresses : customer_id [ INT ] Customer_Addresses.customer_id = Customers.customer_id , address_id [ INT ] Customer_Addresses.address_id = Addresses.address_id , date_address_from [ TEXT ] , address_type [ TEXT ] , date_address_to [ TEXT ] | Customer_Contact_Channels : customer_id [ INT ] Customer_Contact_Channels.customer_id = Customers.customer_id , channel_code [ TEXT ] , active_from_date [ TEXT ] , active_to_date [ TEXT ] , contact_number [ TEXT ] | Customer_Orders : order_id [ INT ] primary_key , customer_id [ INT ] Customer_Orders.customer_id = Customers.customer_id , order_status [ TEXT ] , order_date [ TEXT ] , order_details [ TEXT ] | Order_Items : order_id [ INT ] Order_Items.order_id = Customer_Orders.order_id , product_id [ INT ] Order_Items.product_id = Products.product_id , 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; |
-- Database schema
| Addresses : address_id [ INT ] primary_key , address_content [ TEXT ] , city [ TEXT ] , zip_postcode [ TEXT ] , state_province_county [ TEXT ] , country [ TEXT ] , other_address_details [ TEXT ] | Products : product_id [ INT ] primary_key , product_details [ TEXT ] | Customers : customer_id [ INT ] primary_key , payment_method [ TEXT ] , customer_name [ TEXT ] , date_became_customer [ TEXT ] , other_customer_details [ TEXT ] | Customer_Addresses : customer_id [ INT ] Customer_Addresses.customer_id = Customers.customer_id , address_id [ INT ] Customer_Addresses.address_id = Addresses.address_id , date_address_from [ TEXT ] , address_type [ TEXT ] , date_address_to [ TEXT ] | Customer_Contact_Channels : customer_id [ INT ] Customer_Contact_Channels.customer_id = Customers.customer_id , channel_code [ TEXT ] , active_from_date [ TEXT ] , active_to_date [ TEXT ] , contact_number [ TEXT ] | Customer_Orders : order_id [ INT ] primary_key , customer_id [ INT ] Customer_Orders.customer_id = Customers.customer_id , order_status [ TEXT ] , order_date [ TEXT ] , order_details [ TEXT ] | Order_Items : order_id [ INT ] Order_Items.order_id = Customer_Orders.order_id , product_id [ INT ] Order_Items.product_id = Products.product_id , 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; |
-- Database schema
| Addresses : address_id [ INT ] primary_key , address_content [ TEXT ] , city [ TEXT ] , zip_postcode [ TEXT ] , state_province_county [ TEXT ] , country [ TEXT ] , other_address_details [ TEXT ] | Products : product_id [ INT ] primary_key , product_details [ TEXT ] | Customers : customer_id [ INT ] primary_key , payment_method [ TEXT ] , customer_name [ TEXT ] , date_became_customer [ TEXT ] , other_customer_details [ TEXT ] | Customer_Addresses : customer_id [ INT ] Customer_Addresses.customer_id = Customers.customer_id , address_id [ INT ] Customer_Addresses.address_id = Addresses.address_id , date_address_from [ TEXT ] , address_type [ TEXT ] , date_address_to [ TEXT ] | Customer_Contact_Channels : customer_id [ INT ] Customer_Contact_Channels.customer_id = Customers.customer_id , channel_code [ TEXT ] , active_from_date [ TEXT ] , active_to_date [ TEXT ] , contact_number [ TEXT ] | Customer_Orders : order_id [ INT ] primary_key , customer_id [ INT ] Customer_Orders.customer_id = Customers.customer_id , order_status [ TEXT ] , order_date [ TEXT ] , order_details [ TEXT ] | Order_Items : order_id [ INT ] Order_Items.order_id = Customer_Orders.order_id , product_id [ INT ] Order_Items.product_id = Products.product_id , 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; |
-- Database schema
| Addresses : address_id [ INT ] primary_key , address_content [ TEXT ] , city [ TEXT ] , zip_postcode [ TEXT ] , state_province_county [ TEXT ] , country [ TEXT ] , other_address_details [ TEXT ] | Products : product_id [ INT ] primary_key , product_details [ TEXT ] | Customers : customer_id [ INT ] primary_key , payment_method [ TEXT ] , customer_name [ TEXT ] , date_became_customer [ TEXT ] , other_customer_details [ TEXT ] | Customer_Addresses : customer_id [ INT ] Customer_Addresses.customer_id = Customers.customer_id , address_id [ INT ] Customer_Addresses.address_id = Addresses.address_id , date_address_from [ TEXT ] , address_type [ TEXT ] , date_address_to [ TEXT ] | Customer_Contact_Channels : customer_id [ INT ] Customer_Contact_Channels.customer_id = Customers.customer_id , channel_code [ TEXT ] , active_from_date [ TEXT ] , active_to_date [ TEXT ] , contact_number [ TEXT ] | Customer_Orders : order_id [ INT ] primary_key , customer_id [ INT ] Customer_Orders.customer_id = Customers.customer_id , order_status [ TEXT ] , order_date [ TEXT ] , order_details [ TEXT ] | Order_Items : order_id [ INT ] Order_Items.order_id = Customer_Orders.order_id , product_id [ INT ] Order_Items.product_id = Products.product_id , 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; |
-- Database schema
| Addresses : address_id [ INT ] primary_key , address_content [ TEXT ] , city [ TEXT ] , zip_postcode [ TEXT ] , state_province_county [ TEXT ] , country [ TEXT ] , other_address_details [ TEXT ] | Products : product_id [ INT ] primary_key , product_details [ TEXT ] | Customers : customer_id [ INT ] primary_key , payment_method [ TEXT ] , customer_name [ TEXT ] , date_became_customer [ TEXT ] , other_customer_details [ TEXT ] | Customer_Addresses : customer_id [ INT ] Customer_Addresses.customer_id = Customers.customer_id , address_id [ INT ] Customer_Addresses.address_id = Addresses.address_id , date_address_from [ TEXT ] , address_type [ TEXT ] , date_address_to [ TEXT ] | Customer_Contact_Channels : customer_id [ INT ] Customer_Contact_Channels.customer_id = Customers.customer_id , channel_code [ TEXT ] , active_from_date [ TEXT ] , active_to_date [ TEXT ] , contact_number [ TEXT ] | Customer_Orders : order_id [ INT ] primary_key , customer_id [ INT ] Customer_Orders.customer_id = Customers.customer_id , order_status [ TEXT ] , order_date [ TEXT ] , order_details [ TEXT ] | Order_Items : order_id [ INT ] Order_Items.order_id = Customer_Orders.order_id , product_id [ INT ] Order_Items.product_id = Products.product_id , 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"; |
-- Database schema
| Addresses : address_id [ INT ] primary_key , address_content [ TEXT ] , city [ TEXT ] , zip_postcode [ TEXT ] , state_province_county [ TEXT ] , country [ TEXT ] , other_address_details [ TEXT ] | Products : product_id [ INT ] primary_key , product_details [ TEXT ] | Customers : customer_id [ INT ] primary_key , payment_method [ TEXT ] , customer_name [ TEXT ] , date_became_customer [ TEXT ] , other_customer_details [ TEXT ] | Customer_Addresses : customer_id [ INT ] Customer_Addresses.customer_id = Customers.customer_id , address_id [ INT ] Customer_Addresses.address_id = Addresses.address_id , date_address_from [ TEXT ] , address_type [ TEXT ] , date_address_to [ TEXT ] | Customer_Contact_Channels : customer_id [ INT ] Customer_Contact_Channels.customer_id = Customers.customer_id , channel_code [ TEXT ] , active_from_date [ TEXT ] , active_to_date [ TEXT ] , contact_number [ TEXT ] | Customer_Orders : order_id [ INT ] primary_key , customer_id [ INT ] Customer_Orders.customer_id = Customers.customer_id , order_status [ TEXT ] , order_date [ TEXT ] , order_details [ TEXT ] | Order_Items : order_id [ INT ] Order_Items.order_id = Customer_Orders.order_id , product_id [ INT ] Order_Items.product_id = Products.product_id , 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"; |
-- Database schema
| Addresses : address_id [ INT ] primary_key , address_content [ TEXT ] , city [ TEXT ] , zip_postcode [ TEXT ] , state_province_county [ TEXT ] , country [ TEXT ] , other_address_details [ TEXT ] | Products : product_id [ INT ] primary_key , product_details [ TEXT ] | Customers : customer_id [ INT ] primary_key , payment_method [ TEXT ] , customer_name [ TEXT ] , date_became_customer [ TEXT ] , other_customer_details [ TEXT ] | Customer_Addresses : customer_id [ INT ] Customer_Addresses.customer_id = Customers.customer_id , address_id [ INT ] Customer_Addresses.address_id = Addresses.address_id , date_address_from [ TEXT ] , address_type [ TEXT ] , date_address_to [ TEXT ] | Customer_Contact_Channels : customer_id [ INT ] Customer_Contact_Channels.customer_id = Customers.customer_id , channel_code [ TEXT ] , active_from_date [ TEXT ] , active_to_date [ TEXT ] , contact_number [ TEXT ] | Customer_Orders : order_id [ INT ] primary_key , customer_id [ INT ] Customer_Orders.customer_id = Customers.customer_id , order_status [ TEXT ] , order_date [ TEXT ] , order_details [ TEXT ] | Order_Items : order_id [ INT ] Order_Items.order_id = Customer_Orders.order_id , product_id [ INT ] Order_Items.product_id = Products.product_id , order_quantity [ TEXT ] |
-- -- Find the name of customers who did not pay with Cash.
| SELECT customer_name FROM customers WHERE payment_method != 'Cash'; |
-- Database schema
| Addresses : address_id [ INT ] primary_key , address_content [ TEXT ] , city [ TEXT ] , zip_postcode [ TEXT ] , state_province_county [ TEXT ] , country [ TEXT ] , other_address_details [ TEXT ] | Products : product_id [ INT ] primary_key , product_details [ TEXT ] | Customers : customer_id [ INT ] primary_key , payment_method [ TEXT ] , customer_name [ TEXT ] , date_became_customer [ TEXT ] , other_customer_details [ TEXT ] | Customer_Addresses : customer_id [ INT ] Customer_Addresses.customer_id = Customers.customer_id , address_id [ INT ] Customer_Addresses.address_id = Addresses.address_id , date_address_from [ TEXT ] , address_type [ TEXT ] , date_address_to [ TEXT ] | Customer_Contact_Channels : customer_id [ INT ] Customer_Contact_Channels.customer_id = Customers.customer_id , channel_code [ TEXT ] , active_from_date [ TEXT ] , active_to_date [ TEXT ] , contact_number [ TEXT ] | Customer_Orders : order_id [ INT ] primary_key , customer_id [ INT ] Customer_Orders.customer_id = Customers.customer_id , order_status [ TEXT ] , order_date [ TEXT ] , order_details [ TEXT ] | Order_Items : order_id [ INT ] Order_Items.order_id = Customer_Orders.order_id , product_id [ INT ] Order_Items.product_id = Products.product_id , 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'; |
-- Database schema
| Addresses : address_id [ INT ] primary_key , address_content [ TEXT ] , city [ TEXT ] , zip_postcode [ TEXT ] , state_province_county [ TEXT ] , country [ TEXT ] , other_address_details [ TEXT ] | Products : product_id [ INT ] primary_key , product_details [ TEXT ] | Customers : customer_id [ INT ] primary_key , payment_method [ TEXT ] , customer_name [ TEXT ] , date_became_customer [ TEXT ] , other_customer_details [ TEXT ] | Customer_Addresses : customer_id [ INT ] Customer_Addresses.customer_id = Customers.customer_id , address_id [ INT ] Customer_Addresses.address_id = Addresses.address_id , date_address_from [ TEXT ] , address_type [ TEXT ] , date_address_to [ TEXT ] | Customer_Contact_Channels : customer_id [ INT ] Customer_Contact_Channels.customer_id = Customers.customer_id , channel_code [ TEXT ] , active_from_date [ TEXT ] , active_to_date [ TEXT ] , contact_number [ TEXT ] | Customer_Orders : order_id [ INT ] primary_key , customer_id [ INT ] Customer_Orders.customer_id = Customers.customer_id , order_status [ TEXT ] , order_date [ TEXT ] , order_details [ TEXT ] | Order_Items : order_id [ INT ] Order_Items.order_id = Customer_Orders.order_id , product_id [ INT ] Order_Items.product_id = Products.product_id , 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'; |
-- Database schema
| Addresses : address_id [ INT ] primary_key , address_content [ TEXT ] , city [ TEXT ] , zip_postcode [ TEXT ] , state_province_county [ TEXT ] , country [ TEXT ] , other_address_details [ TEXT ] | Products : product_id [ INT ] primary_key , product_details [ TEXT ] | Customers : customer_id [ INT ] primary_key , payment_method [ TEXT ] , customer_name [ TEXT ] , date_became_customer [ TEXT ] , other_customer_details [ TEXT ] | Customer_Addresses : customer_id [ INT ] Customer_Addresses.customer_id = Customers.customer_id , address_id [ INT ] Customer_Addresses.address_id = Addresses.address_id , date_address_from [ TEXT ] , address_type [ TEXT ] , date_address_to [ TEXT ] | Customer_Contact_Channels : customer_id [ INT ] Customer_Contact_Channels.customer_id = Customers.customer_id , channel_code [ TEXT ] , active_from_date [ TEXT ] , active_to_date [ TEXT ] , contact_number [ TEXT ] | Customer_Orders : order_id [ INT ] primary_key , customer_id [ INT ] Customer_Orders.customer_id = Customers.customer_id , order_status [ TEXT ] , order_date [ TEXT ] , order_details [ TEXT ] | Order_Items : order_id [ INT ] Order_Items.order_id = Customer_Orders.order_id , product_id [ INT ] Order_Items.product_id = Products.product_id , 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'; |
-- Database schema
| Addresses : address_id [ INT ] primary_key , address_content [ TEXT ] , city [ TEXT ] , zip_postcode [ TEXT ] , state_province_county [ TEXT ] , country [ TEXT ] , other_address_details [ TEXT ] | Products : product_id [ INT ] primary_key , product_details [ TEXT ] | Customers : customer_id [ INT ] primary_key , payment_method [ TEXT ] , customer_name [ TEXT ] , date_became_customer [ TEXT ] , other_customer_details [ TEXT ] | Customer_Addresses : customer_id [ INT ] Customer_Addresses.customer_id = Customers.customer_id , address_id [ INT ] Customer_Addresses.address_id = Addresses.address_id , date_address_from [ TEXT ] , address_type [ TEXT ] , date_address_to [ TEXT ] | Customer_Contact_Channels : customer_id [ INT ] Customer_Contact_Channels.customer_id = Customers.customer_id , channel_code [ TEXT ] , active_from_date [ TEXT ] , active_to_date [ TEXT ] , contact_number [ TEXT ] | Customer_Orders : order_id [ INT ] primary_key , customer_id [ INT ] Customer_Orders.customer_id = Customers.customer_id , order_status [ TEXT ] , order_date [ TEXT ] , order_details [ TEXT ] | Order_Items : order_id [ INT ] Order_Items.order_id = Customer_Orders.order_id , product_id [ INT ] Order_Items.product_id = Products.product_id , 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; |
-- Database schema
| Addresses : address_id [ INT ] primary_key , address_content [ TEXT ] , city [ TEXT ] , zip_postcode [ TEXT ] , state_province_county [ TEXT ] , country [ TEXT ] , other_address_details [ TEXT ] | Products : product_id [ INT ] primary_key , product_details [ TEXT ] | Customers : customer_id [ INT ] primary_key , payment_method [ TEXT ] , customer_name [ TEXT ] , date_became_customer [ TEXT ] , other_customer_details [ TEXT ] | Customer_Addresses : customer_id [ INT ] Customer_Addresses.customer_id = Customers.customer_id , address_id [ INT ] Customer_Addresses.address_id = Addresses.address_id , date_address_from [ TEXT ] , address_type [ TEXT ] , date_address_to [ TEXT ] | Customer_Contact_Channels : customer_id [ INT ] Customer_Contact_Channels.customer_id = Customers.customer_id , channel_code [ TEXT ] , active_from_date [ TEXT ] , active_to_date [ TEXT ] , contact_number [ TEXT ] | Customer_Orders : order_id [ INT ] primary_key , customer_id [ INT ] Customer_Orders.customer_id = Customers.customer_id , order_status [ TEXT ] , order_date [ TEXT ] , order_details [ TEXT ] | Order_Items : order_id [ INT ] Order_Items.order_id = Customer_Orders.order_id , product_id [ INT ] Order_Items.product_id = Products.product_id , 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; |
-- Database schema
| Addresses : address_id [ INT ] primary_key , address_content [ TEXT ] , city [ TEXT ] , zip_postcode [ TEXT ] , state_province_county [ TEXT ] , country [ TEXT ] , other_address_details [ TEXT ] | Products : product_id [ INT ] primary_key , product_details [ TEXT ] | Customers : customer_id [ INT ] primary_key , payment_method [ TEXT ] , customer_name [ TEXT ] , date_became_customer [ TEXT ] , other_customer_details [ TEXT ] | Customer_Addresses : customer_id [ INT ] Customer_Addresses.customer_id = Customers.customer_id , address_id [ INT ] Customer_Addresses.address_id = Addresses.address_id , date_address_from [ TEXT ] , address_type [ TEXT ] , date_address_to [ TEXT ] | Customer_Contact_Channels : customer_id [ INT ] Customer_Contact_Channels.customer_id = Customers.customer_id , channel_code [ TEXT ] , active_from_date [ TEXT ] , active_to_date [ TEXT ] , contact_number [ TEXT ] | Customer_Orders : order_id [ INT ] primary_key , customer_id [ INT ] Customer_Orders.customer_id = Customers.customer_id , order_status [ TEXT ] , order_date [ TEXT ] , order_details [ TEXT ] | Order_Items : order_id [ INT ] Order_Items.order_id = Customer_Orders.order_id , product_id [ INT ] Order_Items.product_id = Products.product_id , 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'; |
-- Database schema
| Addresses : address_id [ INT ] primary_key , address_content [ TEXT ] , city [ TEXT ] , zip_postcode [ TEXT ] , state_province_county [ TEXT ] , country [ TEXT ] , other_address_details [ TEXT ] | Products : product_id [ INT ] primary_key , product_details [ TEXT ] | Customers : customer_id [ INT ] primary_key , payment_method [ TEXT ] , customer_name [ TEXT ] , date_became_customer [ TEXT ] , other_customer_details [ TEXT ] | Customer_Addresses : customer_id [ INT ] Customer_Addresses.customer_id = Customers.customer_id , address_id [ INT ] Customer_Addresses.address_id = Addresses.address_id , date_address_from [ TEXT ] , address_type [ TEXT ] , date_address_to [ TEXT ] | Customer_Contact_Channels : customer_id [ INT ] Customer_Contact_Channels.customer_id = Customers.customer_id , channel_code [ TEXT ] , active_from_date [ TEXT ] , active_to_date [ TEXT ] , contact_number [ TEXT ] | Customer_Orders : order_id [ INT ] primary_key , customer_id [ INT ] Customer_Orders.customer_id = Customers.customer_id , order_status [ TEXT ] , order_date [ TEXT ] , order_details [ TEXT ] | Order_Items : order_id [ INT ] Order_Items.order_id = Customer_Orders.order_id , product_id [ INT ] Order_Items.product_id = Products.product_id , 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'; |
-- Database schema
| artist : Artist_ID [ INT ] primary_key , Artist [ TEXT ] , Age [ INT ] , Famous_Title [ TEXT ] , Famous_Release_date [ TEXT ] | volume : Volume_ID [ INT ] primary_key , Volume_Issue [ TEXT ] , Issue_Date [ TEXT ] , Weeks_on_Top [ INT ] , Song [ TEXT ] , Artist_ID [ INT ] volume.Artist_ID = artist.Artist_ID | music_festival : ID [ INT ] primary_key , Music_Festival [ TEXT ] , Date_of_ceremony [ TEXT ] , Category [ TEXT ] , Volume [ INT ] music_festival.Volume = volume.Volume_ID , Result [ TEXT ] |
-- -- How many artists are there?
| SELECT count(*) FROM artist; |
-- Database schema
| artist : Artist_ID [ INT ] primary_key , Artist [ TEXT ] , Age [ INT ] , Famous_Title [ TEXT ] , Famous_Release_date [ TEXT ] | volume : Volume_ID [ INT ] primary_key , Volume_Issue [ TEXT ] , Issue_Date [ TEXT ] , Weeks_on_Top [ INT ] , Song [ TEXT ] , Artist_ID [ INT ] volume.Artist_ID = artist.Artist_ID | music_festival : ID [ INT ] primary_key , Music_Festival [ TEXT ] , Date_of_ceremony [ TEXT ] , Category [ TEXT ] , Volume [ INT ] music_festival.Volume = volume.Volume_ID , Result [ TEXT ] |
-- -- Count the number of artists.
| SELECT count(*) FROM artist; |
-- Database schema
| artist : Artist_ID [ INT ] primary_key , Artist [ TEXT ] , Age [ INT ] , Famous_Title [ TEXT ] , Famous_Release_date [ TEXT ] | volume : Volume_ID [ INT ] primary_key , Volume_Issue [ TEXT ] , Issue_Date [ TEXT ] , Weeks_on_Top [ INT ] , Song [ TEXT ] , Artist_ID [ INT ] volume.Artist_ID = artist.Artist_ID | music_festival : ID [ INT ] primary_key , Music_Festival [ TEXT ] , Date_of_ceremony [ TEXT ] , Category [ TEXT ] , Volume [ INT ] music_festival.Volume = volume.Volume_ID , Result [ TEXT ] |
-- -- List the age of all music artists.
| SELECT Age FROM artist; |
-- Database schema
| artist : Artist_ID [ INT ] primary_key , Artist [ TEXT ] , Age [ INT ] , Famous_Title [ TEXT ] , Famous_Release_date [ TEXT ] | volume : Volume_ID [ INT ] primary_key , Volume_Issue [ TEXT ] , Issue_Date [ TEXT ] , Weeks_on_Top [ INT ] , Song [ TEXT ] , Artist_ID [ INT ] volume.Artist_ID = artist.Artist_ID | music_festival : ID [ INT ] primary_key , Music_Festival [ TEXT ] , Date_of_ceremony [ TEXT ] , Category [ TEXT ] , Volume [ INT ] music_festival.Volume = volume.Volume_ID , Result [ TEXT ] |
-- -- What are the ages of all music artists?
| SELECT Age FROM artist; |
-- Database schema
| artist : Artist_ID [ INT ] primary_key , Artist [ TEXT ] , Age [ INT ] , Famous_Title [ TEXT ] , Famous_Release_date [ TEXT ] | volume : Volume_ID [ INT ] primary_key , Volume_Issue [ TEXT ] , Issue_Date [ TEXT ] , Weeks_on_Top [ INT ] , Song [ TEXT ] , Artist_ID [ INT ] volume.Artist_ID = artist.Artist_ID | music_festival : ID [ INT ] primary_key , Music_Festival [ TEXT ] , Date_of_ceremony [ TEXT ] , Category [ TEXT ] , Volume [ INT ] music_festival.Volume = volume.Volume_ID , Result [ TEXT ] |
-- -- What is the average age of all artists?
| SELECT avg(Age) FROM artist; |
-- Database schema
| artist : Artist_ID [ INT ] primary_key , Artist [ TEXT ] , Age [ INT ] , Famous_Title [ TEXT ] , Famous_Release_date [ TEXT ] | volume : Volume_ID [ INT ] primary_key , Volume_Issue [ TEXT ] , Issue_Date [ TEXT ] , Weeks_on_Top [ INT ] , Song [ TEXT ] , Artist_ID [ INT ] volume.Artist_ID = artist.Artist_ID | music_festival : ID [ INT ] primary_key , Music_Festival [ TEXT ] , Date_of_ceremony [ TEXT ] , Category [ TEXT ] , Volume [ INT ] music_festival.Volume = volume.Volume_ID , Result [ TEXT ] |
-- -- Return the average age across all artists.
| SELECT avg(Age) FROM artist; |
-- Database schema
| artist : Artist_ID [ INT ] primary_key , Artist [ TEXT ] , Age [ INT ] , Famous_Title [ TEXT ] , Famous_Release_date [ TEXT ] | volume : Volume_ID [ INT ] primary_key , Volume_Issue [ TEXT ] , Issue_Date [ TEXT ] , Weeks_on_Top [ INT ] , Song [ TEXT ] , Artist_ID [ INT ] volume.Artist_ID = artist.Artist_ID | music_festival : ID [ INT ] primary_key , Music_Festival [ TEXT ] , Date_of_ceremony [ TEXT ] , Category [ TEXT ] , Volume [ INT ] music_festival.Volume = volume.Volume_ID , Result [ TEXT ] |
-- -- What are the famous titles of the artist "Triumfall"?
| SELECT Famous_Title FROM artist WHERE Artist = "Triumfall"; |
-- Database schema
| artist : Artist_ID [ INT ] primary_key , Artist [ TEXT ] , Age [ INT ] , Famous_Title [ TEXT ] , Famous_Release_date [ TEXT ] | volume : Volume_ID [ INT ] primary_key , Volume_Issue [ TEXT ] , Issue_Date [ TEXT ] , Weeks_on_Top [ INT ] , Song [ TEXT ] , Artist_ID [ INT ] volume.Artist_ID = artist.Artist_ID | music_festival : ID [ INT ] primary_key , Music_Festival [ TEXT ] , Date_of_ceremony [ TEXT ] , Category [ TEXT ] , Volume [ INT ] music_festival.Volume = volume.Volume_ID , Result [ TEXT ] |
-- -- Return the famous titles of the artist called "Triumfall".
| SELECT Famous_Title FROM artist WHERE Artist = "Triumfall"; |
-- Database schema
| artist : Artist_ID [ INT ] primary_key , Artist [ TEXT ] , Age [ INT ] , Famous_Title [ TEXT ] , Famous_Release_date [ TEXT ] | volume : Volume_ID [ INT ] primary_key , Volume_Issue [ TEXT ] , Issue_Date [ TEXT ] , Weeks_on_Top [ INT ] , Song [ TEXT ] , Artist_ID [ INT ] volume.Artist_ID = artist.Artist_ID | music_festival : ID [ INT ] primary_key , Music_Festival [ TEXT ] , Date_of_ceremony [ TEXT ] , Category [ TEXT ] , Volume [ INT ] music_festival.Volume = volume.Volume_ID , Result [ TEXT ] |
-- -- What are the distinct Famous release dates?
| SELECT distinct(Famous_Release_date) FROM artist; |
-- Database schema
| artist : Artist_ID [ INT ] primary_key , Artist [ TEXT ] , Age [ INT ] , Famous_Title [ TEXT ] , Famous_Release_date [ TEXT ] | volume : Volume_ID [ INT ] primary_key , Volume_Issue [ TEXT ] , Issue_Date [ TEXT ] , Weeks_on_Top [ INT ] , Song [ TEXT ] , Artist_ID [ INT ] volume.Artist_ID = artist.Artist_ID | music_festival : ID [ INT ] primary_key , Music_Festival [ TEXT ] , Date_of_ceremony [ TEXT ] , Category [ TEXT ] , Volume [ INT ] music_festival.Volume = volume.Volume_ID , Result [ TEXT ] |
-- -- Give the distinct famous release dates for all artists.
| SELECT distinct(Famous_Release_date) FROM artist; |
-- Database schema
| artist : Artist_ID [ INT ] primary_key , Artist [ TEXT ] , Age [ INT ] , Famous_Title [ TEXT ] , Famous_Release_date [ TEXT ] | volume : Volume_ID [ INT ] primary_key , Volume_Issue [ TEXT ] , Issue_Date [ TEXT ] , Weeks_on_Top [ INT ] , Song [ TEXT ] , Artist_ID [ INT ] volume.Artist_ID = artist.Artist_ID | music_festival : ID [ INT ] primary_key , Music_Festival [ TEXT ] , Date_of_ceremony [ TEXT ] , Category [ TEXT ] , Volume [ INT ] music_festival.Volume = volume.Volume_ID , Result [ TEXT ] |
-- -- Return the dates of ceremony and the results of all music festivals
| SELECT Date_of_ceremony , RESULT FROM music_festival; |
-- Database schema
| artist : Artist_ID [ INT ] primary_key , Artist [ TEXT ] , Age [ INT ] , Famous_Title [ TEXT ] , Famous_Release_date [ TEXT ] | volume : Volume_ID [ INT ] primary_key , Volume_Issue [ TEXT ] , Issue_Date [ TEXT ] , Weeks_on_Top [ INT ] , Song [ TEXT ] , Artist_ID [ INT ] volume.Artist_ID = artist.Artist_ID | music_festival : ID [ INT ] primary_key , Music_Festival [ TEXT ] , Date_of_ceremony [ TEXT ] , Category [ TEXT ] , Volume [ INT ] music_festival.Volume = volume.Volume_ID , Result [ TEXT ] |
-- -- What are the dates of ceremony and results for each music festival?
| SELECT Date_of_ceremony , RESULT FROM music_festival; |
-- Database schema
| artist : Artist_ID [ INT ] primary_key , Artist [ TEXT ] , Age [ INT ] , Famous_Title [ TEXT ] , Famous_Release_date [ TEXT ] | volume : Volume_ID [ INT ] primary_key , Volume_Issue [ TEXT ] , Issue_Date [ TEXT ] , Weeks_on_Top [ INT ] , Song [ TEXT ] , Artist_ID [ INT ] volume.Artist_ID = artist.Artist_ID | music_festival : ID [ INT ] primary_key , Music_Festival [ TEXT ] , Date_of_ceremony [ TEXT ] , Category [ TEXT ] , Volume [ INT ] music_festival.Volume = volume.Volume_ID , Result [ TEXT ] |
-- -- What are the category of music festivals with result "Awarded"?
| SELECT Category FROM music_festival WHERE RESULT = "Awarded"; |
-- Database schema
| artist : Artist_ID [ INT ] primary_key , Artist [ TEXT ] , Age [ INT ] , Famous_Title [ TEXT ] , Famous_Release_date [ TEXT ] | volume : Volume_ID [ INT ] primary_key , Volume_Issue [ TEXT ] , Issue_Date [ TEXT ] , Weeks_on_Top [ INT ] , Song [ TEXT ] , Artist_ID [ INT ] volume.Artist_ID = artist.Artist_ID | music_festival : ID [ INT ] primary_key , Music_Festival [ TEXT ] , Date_of_ceremony [ TEXT ] , Category [ TEXT ] , Volume [ INT ] music_festival.Volume = volume.Volume_ID , Result [ TEXT ] |
-- -- Return the categories of music festivals that have the result "Awarded".
| SELECT Category FROM music_festival WHERE RESULT = "Awarded"; |
-- Database schema
| artist : Artist_ID [ INT ] primary_key , Artist [ TEXT ] , Age [ INT ] , Famous_Title [ TEXT ] , Famous_Release_date [ TEXT ] | volume : Volume_ID [ INT ] primary_key , Volume_Issue [ TEXT ] , Issue_Date [ TEXT ] , Weeks_on_Top [ INT ] , Song [ TEXT ] , Artist_ID [ INT ] volume.Artist_ID = artist.Artist_ID | music_festival : ID [ INT ] primary_key , Music_Festival [ TEXT ] , Date_of_ceremony [ TEXT ] , Category [ TEXT ] , Volume [ INT ] music_festival.Volume = volume.Volume_ID , 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; |
-- Database schema
| artist : Artist_ID [ INT ] primary_key , Artist [ TEXT ] , Age [ INT ] , Famous_Title [ TEXT ] , Famous_Release_date [ TEXT ] | volume : Volume_ID [ INT ] primary_key , Volume_Issue [ TEXT ] , Issue_Date [ TEXT ] , Weeks_on_Top [ INT ] , Song [ TEXT ] , Artist_ID [ INT ] volume.Artist_ID = artist.Artist_ID | music_festival : ID [ INT ] primary_key , Music_Festival [ TEXT ] , Date_of_ceremony [ TEXT ] , Category [ TEXT ] , Volume [ INT ] music_festival.Volume = volume.Volume_ID , Result [ TEXT ] |
-- -- Give the maximum and minimum weeks on top across all volumes.
| SELECT max(Weeks_on_Top) , min(Weeks_on_Top) FROM volume; |
-- Database schema
| artist : Artist_ID [ INT ] primary_key , Artist [ TEXT ] , Age [ INT ] , Famous_Title [ TEXT ] , Famous_Release_date [ TEXT ] | volume : Volume_ID [ INT ] primary_key , Volume_Issue [ TEXT ] , Issue_Date [ TEXT ] , Weeks_on_Top [ INT ] , Song [ TEXT ] , Artist_ID [ INT ] volume.Artist_ID = artist.Artist_ID | music_festival : ID [ INT ] primary_key , Music_Festival [ TEXT ] , Date_of_ceremony [ TEXT ] , Category [ TEXT ] , Volume [ INT ] music_festival.Volume = volume.Volume_ID , Result [ TEXT ] |
-- -- What are the songs in volumes with more than 1 week on top?
| SELECT Song FROM volume WHERE Weeks_on_Top > 1; |
-- Database schema
| artist : Artist_ID [ INT ] primary_key , Artist [ TEXT ] , Age [ INT ] , Famous_Title [ TEXT ] , Famous_Release_date [ TEXT ] | volume : Volume_ID [ INT ] primary_key , Volume_Issue [ TEXT ] , Issue_Date [ TEXT ] , Weeks_on_Top [ INT ] , Song [ TEXT ] , Artist_ID [ INT ] volume.Artist_ID = artist.Artist_ID | music_festival : ID [ INT ] primary_key , Music_Festival [ TEXT ] , Date_of_ceremony [ TEXT ] , Category [ TEXT ] , Volume [ INT ] music_festival.Volume = volume.Volume_ID , 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; |
-- Database schema
| artist : Artist_ID [ INT ] primary_key , Artist [ TEXT ] , Age [ INT ] , Famous_Title [ TEXT ] , Famous_Release_date [ TEXT ] | volume : Volume_ID [ INT ] primary_key , Volume_Issue [ TEXT ] , Issue_Date [ TEXT ] , Weeks_on_Top [ INT ] , Song [ TEXT ] , Artist_ID [ INT ] volume.Artist_ID = artist.Artist_ID | music_festival : ID [ INT ] primary_key , Music_Festival [ TEXT ] , Date_of_ceremony [ TEXT ] , Category [ TEXT ] , Volume [ INT ] music_festival.Volume = volume.Volume_ID , Result [ TEXT ] |
-- -- Please list all songs in volumes in ascending alphabetical order.
| SELECT Song FROM volume ORDER BY Song; |
-- Database schema
| artist : Artist_ID [ INT ] primary_key , Artist [ TEXT ] , Age [ INT ] , Famous_Title [ TEXT ] , Famous_Release_date [ TEXT ] | volume : Volume_ID [ INT ] primary_key , Volume_Issue [ TEXT ] , Issue_Date [ TEXT ] , Weeks_on_Top [ INT ] , Song [ TEXT ] , Artist_ID [ INT ] volume.Artist_ID = artist.Artist_ID | music_festival : ID [ INT ] primary_key , Music_Festival [ TEXT ] , Date_of_ceremony [ TEXT ] , Category [ TEXT ] , Volume [ INT ] music_festival.Volume = volume.Volume_ID , Result [ TEXT ] |
-- -- What are the the songs in volumes, listed in ascending order?
| SELECT Song FROM volume ORDER BY Song; |
-- Database schema
| artist : Artist_ID [ INT ] primary_key , Artist [ TEXT ] , Age [ INT ] , Famous_Title [ TEXT ] , Famous_Release_date [ TEXT ] | volume : Volume_ID [ INT ] primary_key , Volume_Issue [ TEXT ] , Issue_Date [ TEXT ] , Weeks_on_Top [ INT ] , Song [ TEXT ] , Artist_ID [ INT ] volume.Artist_ID = artist.Artist_ID | music_festival : ID [ INT ] primary_key , Music_Festival [ TEXT ] , Date_of_ceremony [ TEXT ] , Category [ TEXT ] , Volume [ INT ] music_festival.Volume = volume.Volume_ID , Result [ TEXT ] |
-- -- How many distinct artists do the volumes associate to?
| SELECT COUNT(DISTINCT Artist_ID) FROM volume; |
-- Database schema
| artist : Artist_ID [ INT ] primary_key , Artist [ TEXT ] , Age [ INT ] , Famous_Title [ TEXT ] , Famous_Release_date [ TEXT ] | volume : Volume_ID [ INT ] primary_key , Volume_Issue [ TEXT ] , Issue_Date [ TEXT ] , Weeks_on_Top [ INT ] , Song [ TEXT ] , Artist_ID [ INT ] volume.Artist_ID = artist.Artist_ID | music_festival : ID [ INT ] primary_key , Music_Festival [ TEXT ] , Date_of_ceremony [ TEXT ] , Category [ TEXT ] , Volume [ INT ] music_festival.Volume = volume.Volume_ID , Result [ TEXT ] |
-- -- Count the number of distinct artists who have volumes.
| SELECT COUNT(DISTINCT Artist_ID) FROM volume; |
-- Database schema
| artist : Artist_ID [ INT ] primary_key , Artist [ TEXT ] , Age [ INT ] , Famous_Title [ TEXT ] , Famous_Release_date [ TEXT ] | volume : Volume_ID [ INT ] primary_key , Volume_Issue [ TEXT ] , Issue_Date [ TEXT ] , Weeks_on_Top [ INT ] , Song [ TEXT ] , Artist_ID [ INT ] volume.Artist_ID = artist.Artist_ID | music_festival : ID [ INT ] primary_key , Music_Festival [ TEXT ] , Date_of_ceremony [ TEXT ] , Category [ TEXT ] , Volume [ INT ] music_festival.Volume = volume.Volume_ID , 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; |
-- Database schema
| artist : Artist_ID [ INT ] primary_key , Artist [ TEXT ] , Age [ INT ] , Famous_Title [ TEXT ] , Famous_Release_date [ TEXT ] | volume : Volume_ID [ INT ] primary_key , Volume_Issue [ TEXT ] , Issue_Date [ TEXT ] , Weeks_on_Top [ INT ] , Song [ TEXT ] , Artist_ID [ INT ] volume.Artist_ID = artist.Artist_ID | music_festival : ID [ INT ] primary_key , Music_Festival [ TEXT ] , Date_of_ceremony [ TEXT ] , Category [ TEXT ] , Volume [ INT ] music_festival.Volume = volume.Volume_ID , 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; |
-- Database schema
| artist : Artist_ID [ INT ] primary_key , Artist [ TEXT ] , Age [ INT ] , Famous_Title [ TEXT ] , Famous_Release_date [ TEXT ] | volume : Volume_ID [ INT ] primary_key , Volume_Issue [ TEXT ] , Issue_Date [ TEXT ] , Weeks_on_Top [ INT ] , Song [ TEXT ] , Artist_ID [ INT ] volume.Artist_ID = artist.Artist_ID | music_festival : ID [ INT ] primary_key , Music_Festival [ TEXT ] , Date_of_ceremony [ TEXT ] , Category [ TEXT ] , Volume [ INT ] music_festival.Volume = volume.Volume_ID , 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"; |
-- Database schema
| artist : Artist_ID [ INT ] primary_key , Artist [ TEXT ] , Age [ INT ] , Famous_Title [ TEXT ] , Famous_Release_date [ TEXT ] | volume : Volume_ID [ INT ] primary_key , Volume_Issue [ TEXT ] , Issue_Date [ TEXT ] , Weeks_on_Top [ INT ] , Song [ TEXT ] , Artist_ID [ INT ] volume.Artist_ID = artist.Artist_ID | music_festival : ID [ INT ] primary_key , Music_Festival [ TEXT ] , Date_of_ceremony [ TEXT ] , Category [ TEXT ] , Volume [ INT ] music_festival.Volume = volume.Volume_ID , 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"; |
-- Database schema
| artist : Artist_ID [ INT ] primary_key , Artist [ TEXT ] , Age [ INT ] , Famous_Title [ TEXT ] , Famous_Release_date [ TEXT ] | volume : Volume_ID [ INT ] primary_key , Volume_Issue [ TEXT ] , Issue_Date [ TEXT ] , Weeks_on_Top [ INT ] , Song [ TEXT ] , Artist_ID [ INT ] volume.Artist_ID = artist.Artist_ID | music_festival : ID [ INT ] primary_key , Music_Festival [ TEXT ] , Date_of_ceremony [ TEXT ] , Category [ TEXT ] , Volume [ INT ] music_festival.Volume = volume.Volume_ID , 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"; |
-- Database schema
| artist : Artist_ID [ INT ] primary_key , Artist [ TEXT ] , Age [ INT ] , Famous_Title [ TEXT ] , Famous_Release_date [ TEXT ] | volume : Volume_ID [ INT ] primary_key , Volume_Issue [ TEXT ] , Issue_Date [ TEXT ] , Weeks_on_Top [ INT ] , Song [ TEXT ] , Artist_ID [ INT ] volume.Artist_ID = artist.Artist_ID | music_festival : ID [ INT ] primary_key , Music_Festival [ TEXT ] , Date_of_ceremony [ TEXT ] , Category [ TEXT ] , Volume [ INT ] music_festival.Volume = volume.Volume_ID , 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"; |
-- Database schema
| artist : Artist_ID [ INT ] primary_key , Artist [ TEXT ] , Age [ INT ] , Famous_Title [ TEXT ] , Famous_Release_date [ TEXT ] | volume : Volume_ID [ INT ] primary_key , Volume_Issue [ TEXT ] , Issue_Date [ TEXT ] , Weeks_on_Top [ INT ] , Song [ TEXT ] , Artist_ID [ INT ] volume.Artist_ID = artist.Artist_ID | music_festival : ID [ INT ] primary_key , Music_Festival [ TEXT ] , Date_of_ceremony [ TEXT ] , Category [ TEXT ] , Volume [ INT ] music_festival.Volume = volume.Volume_ID , 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; |
-- Database schema
| artist : Artist_ID [ INT ] primary_key , Artist [ TEXT ] , Age [ INT ] , Famous_Title [ TEXT ] , Famous_Release_date [ TEXT ] | volume : Volume_ID [ INT ] primary_key , Volume_Issue [ TEXT ] , Issue_Date [ TEXT ] , Weeks_on_Top [ INT ] , Song [ TEXT ] , Artist_ID [ INT ] volume.Artist_ID = artist.Artist_ID | music_festival : ID [ INT ] primary_key , Music_Festival [ TEXT ] , Date_of_ceremony [ TEXT ] , Category [ TEXT ] , Volume [ INT ] music_festival.Volume = volume.Volume_ID , 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; |
-- Database schema
| artist : Artist_ID [ INT ] primary_key , Artist [ TEXT ] , Age [ INT ] , Famous_Title [ TEXT ] , Famous_Release_date [ TEXT ] | volume : Volume_ID [ INT ] primary_key , Volume_Issue [ TEXT ] , Issue_Date [ TEXT ] , Weeks_on_Top [ INT ] , Song [ TEXT ] , Artist_ID [ INT ] volume.Artist_ID = artist.Artist_ID | music_festival : ID [ INT ] primary_key , Music_Festival [ TEXT ] , Date_of_ceremony [ TEXT ] , Category [ TEXT ] , Volume [ INT ] music_festival.Volume = volume.Volume_ID , 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; |
-- Database schema
| artist : Artist_ID [ INT ] primary_key , Artist [ TEXT ] , Age [ INT ] , Famous_Title [ TEXT ] , Famous_Release_date [ TEXT ] | volume : Volume_ID [ INT ] primary_key , Volume_Issue [ TEXT ] , Issue_Date [ TEXT ] , Weeks_on_Top [ INT ] , Song [ TEXT ] , Artist_ID [ INT ] volume.Artist_ID = artist.Artist_ID | music_festival : ID [ INT ] primary_key , Music_Festival [ TEXT ] , Date_of_ceremony [ TEXT ] , Category [ TEXT ] , Volume [ INT ] music_festival.Volume = volume.Volume_ID , 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; |
-- Database schema
| artist : Artist_ID [ INT ] primary_key , Artist [ TEXT ] , Age [ INT ] , Famous_Title [ TEXT ] , Famous_Release_date [ TEXT ] | volume : Volume_ID [ INT ] primary_key , Volume_Issue [ TEXT ] , Issue_Date [ TEXT ] , Weeks_on_Top [ INT ] , Song [ TEXT ] , Artist_ID [ INT ] volume.Artist_ID = artist.Artist_ID | music_festival : ID [ INT ] primary_key , Music_Festival [ TEXT ] , Date_of_ceremony [ TEXT ] , Category [ TEXT ] , Volume [ INT ] music_festival.Volume = volume.Volume_ID , 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; |
-- Database schema
| artist : Artist_ID [ INT ] primary_key , Artist [ TEXT ] , Age [ INT ] , Famous_Title [ TEXT ] , Famous_Release_date [ TEXT ] | volume : Volume_ID [ INT ] primary_key , Volume_Issue [ TEXT ] , Issue_Date [ TEXT ] , Weeks_on_Top [ INT ] , Song [ TEXT ] , Artist_ID [ INT ] volume.Artist_ID = artist.Artist_ID | music_festival : ID [ INT ] primary_key , Music_Festival [ TEXT ] , Date_of_ceremony [ TEXT ] , Category [ TEXT ] , Volume [ INT ] music_festival.Volume = volume.Volume_ID , 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; |
-- Database schema
| artist : Artist_ID [ INT ] primary_key , Artist [ TEXT ] , Age [ INT ] , Famous_Title [ TEXT ] , Famous_Release_date [ TEXT ] | volume : Volume_ID [ INT ] primary_key , Volume_Issue [ TEXT ] , Issue_Date [ TEXT ] , Weeks_on_Top [ INT ] , Song [ TEXT ] , Artist_ID [ INT ] volume.Artist_ID = artist.Artist_ID | music_festival : ID [ INT ] primary_key , Music_Festival [ TEXT ] , Date_of_ceremony [ TEXT ] , Category [ TEXT ] , Volume [ INT ] music_festival.Volume = volume.Volume_ID , 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; |
-- Database schema
| artist : Artist_ID [ INT ] primary_key , Artist [ TEXT ] , Age [ INT ] , Famous_Title [ TEXT ] , Famous_Release_date [ TEXT ] | volume : Volume_ID [ INT ] primary_key , Volume_Issue [ TEXT ] , Issue_Date [ TEXT ] , Weeks_on_Top [ INT ] , Song [ TEXT ] , Artist_ID [ INT ] volume.Artist_ID = artist.Artist_ID | music_festival : ID [ INT ] primary_key , Music_Festival [ TEXT ] , Date_of_ceremony [ TEXT ] , Category [ TEXT ] , Volume [ INT ] music_festival.Volume = volume.Volume_ID , 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; |
-- Database schema
| artist : Artist_ID [ INT ] primary_key , Artist [ TEXT ] , Age [ INT ] , Famous_Title [ TEXT ] , Famous_Release_date [ TEXT ] | volume : Volume_ID [ INT ] primary_key , Volume_Issue [ TEXT ] , Issue_Date [ TEXT ] , Weeks_on_Top [ INT ] , Song [ TEXT ] , Artist_ID [ INT ] volume.Artist_ID = artist.Artist_ID | music_festival : ID [ INT ] primary_key , Music_Festival [ TEXT ] , Date_of_ceremony [ TEXT ] , Category [ TEXT ] , Volume [ INT ] music_festival.Volume = volume.Volume_ID , 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; |
-- Database schema
| artist : Artist_ID [ INT ] primary_key , Artist [ TEXT ] , Age [ INT ] , Famous_Title [ TEXT ] , Famous_Release_date [ TEXT ] | volume : Volume_ID [ INT ] primary_key , Volume_Issue [ TEXT ] , Issue_Date [ TEXT ] , Weeks_on_Top [ INT ] , Song [ TEXT ] , Artist_ID [ INT ] volume.Artist_ID = artist.Artist_ID | music_festival : ID [ INT ] primary_key , Music_Festival [ TEXT ] , Date_of_ceremony [ TEXT ] , Category [ TEXT ] , Volume [ INT ] music_festival.Volume = volume.Volume_ID , Result [ TEXT ] |
-- -- Return the famous release date for the oldest artist.
| SELECT Famous_Release_date FROM artist ORDER BY Age DESC LIMIT 1; |
-- Database schema
| artist : Artist_ID [ INT ] primary_key , Artist [ TEXT ] , Age [ INT ] , Famous_Title [ TEXT ] , Famous_Release_date [ TEXT ] | volume : Volume_ID [ INT ] primary_key , Volume_Issue [ TEXT ] , Issue_Date [ TEXT ] , Weeks_on_Top [ INT ] , Song [ TEXT ] , Artist_ID [ INT ] volume.Artist_ID = artist.Artist_ID | music_festival : ID [ INT ] primary_key , Music_Festival [ TEXT ] , Date_of_ceremony [ TEXT ] , Category [ TEXT ] , Volume [ INT ] music_festival.Volume = volume.Volume_ID , Result [ TEXT ] |
-- -- Please show the categories of the music festivals and the count.
| SELECT Category , COUNT(*) FROM music_festival GROUP BY Category; |
-- Database schema
| artist : Artist_ID [ INT ] primary_key , Artist [ TEXT ] , Age [ INT ] , Famous_Title [ TEXT ] , Famous_Release_date [ TEXT ] | volume : Volume_ID [ INT ] primary_key , Volume_Issue [ TEXT ] , Issue_Date [ TEXT ] , Weeks_on_Top [ INT ] , Song [ TEXT ] , Artist_ID [ INT ] volume.Artist_ID = artist.Artist_ID | music_festival : ID [ INT ] primary_key , Music_Festival [ TEXT ] , Date_of_ceremony [ TEXT ] , Category [ TEXT ] , Volume [ INT ] music_festival.Volume = volume.Volume_ID , Result [ TEXT ] |
-- -- Return the number of music festivals of each category.
| SELECT Category , COUNT(*) FROM music_festival GROUP BY Category; |
-- Database schema
| artist : Artist_ID [ INT ] primary_key , Artist [ TEXT ] , Age [ INT ] , Famous_Title [ TEXT ] , Famous_Release_date [ TEXT ] | volume : Volume_ID [ INT ] primary_key , Volume_Issue [ TEXT ] , Issue_Date [ TEXT ] , Weeks_on_Top [ INT ] , Song [ TEXT ] , Artist_ID [ INT ] volume.Artist_ID = artist.Artist_ID | music_festival : ID [ INT ] primary_key , Music_Festival [ TEXT ] , Date_of_ceremony [ TEXT ] , Category [ TEXT ] , Volume [ INT ] music_festival.Volume = volume.Volume_ID , 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; |
-- Database schema
| artist : Artist_ID [ INT ] primary_key , Artist [ TEXT ] , Age [ INT ] , Famous_Title [ TEXT ] , Famous_Release_date [ TEXT ] | volume : Volume_ID [ INT ] primary_key , Volume_Issue [ TEXT ] , Issue_Date [ TEXT ] , Weeks_on_Top [ INT ] , Song [ TEXT ] , Artist_ID [ INT ] volume.Artist_ID = artist.Artist_ID | music_festival : ID [ INT ] primary_key , Music_Festival [ TEXT ] , Date_of_ceremony [ TEXT ] , Category [ TEXT ] , Volume [ INT ] music_festival.Volume = volume.Volume_ID , 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; |
-- Database schema
| artist : Artist_ID [ INT ] primary_key , Artist [ TEXT ] , Age [ INT ] , Famous_Title [ TEXT ] , Famous_Release_date [ TEXT ] | volume : Volume_ID [ INT ] primary_key , Volume_Issue [ TEXT ] , Issue_Date [ TEXT ] , Weeks_on_Top [ INT ] , Song [ TEXT ] , Artist_ID [ INT ] volume.Artist_ID = artist.Artist_ID | music_festival : ID [ INT ] primary_key , Music_Festival [ TEXT ] , Date_of_ceremony [ TEXT ] , Category [ TEXT ] , Volume [ INT ] music_festival.Volume = volume.Volume_ID , 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; |
-- Database schema
| artist : Artist_ID [ INT ] primary_key , Artist [ TEXT ] , Age [ INT ] , Famous_Title [ TEXT ] , Famous_Release_date [ TEXT ] | volume : Volume_ID [ INT ] primary_key , Volume_Issue [ TEXT ] , Issue_Date [ TEXT ] , Weeks_on_Top [ INT ] , Song [ TEXT ] , Artist_ID [ INT ] volume.Artist_ID = artist.Artist_ID | music_festival : ID [ INT ] primary_key , Music_Festival [ TEXT ] , Date_of_ceremony [ TEXT ] , Category [ TEXT ] , Volume [ INT ] music_festival.Volume = volume.Volume_ID , 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; |
-- Database schema
| artist : Artist_ID [ INT ] primary_key , Artist [ TEXT ] , Age [ INT ] , Famous_Title [ TEXT ] , Famous_Release_date [ TEXT ] | volume : Volume_ID [ INT ] primary_key , Volume_Issue [ TEXT ] , Issue_Date [ TEXT ] , Weeks_on_Top [ INT ] , Song [ TEXT ] , Artist_ID [ INT ] volume.Artist_ID = artist.Artist_ID | music_festival : ID [ INT ] primary_key , Music_Festival [ TEXT ] , Date_of_ceremony [ TEXT ] , Category [ TEXT ] , Volume [ INT ] music_festival.Volume = volume.Volume_ID , 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; |
-- Database schema
| artist : Artist_ID [ INT ] primary_key , Artist [ TEXT ] , Age [ INT ] , Famous_Title [ TEXT ] , Famous_Release_date [ TEXT ] | volume : Volume_ID [ INT ] primary_key , Volume_Issue [ TEXT ] , Issue_Date [ TEXT ] , Weeks_on_Top [ INT ] , Song [ TEXT ] , Artist_ID [ INT ] volume.Artist_ID = artist.Artist_ID | music_festival : ID [ INT ] primary_key , Music_Festival [ TEXT ] , Date_of_ceremony [ TEXT ] , Category [ TEXT ] , Volume [ INT ] music_festival.Volume = volume.Volume_ID , 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; |
-- Database schema
| artist : Artist_ID [ INT ] primary_key , Artist [ TEXT ] , Age [ INT ] , Famous_Title [ TEXT ] , Famous_Release_date [ TEXT ] | volume : Volume_ID [ INT ] primary_key , Volume_Issue [ TEXT ] , Issue_Date [ TEXT ] , Weeks_on_Top [ INT ] , Song [ TEXT ] , Artist_ID [ INT ] volume.Artist_ID = artist.Artist_ID | music_festival : ID [ INT ] primary_key , Music_Festival [ TEXT ] , Date_of_ceremony [ TEXT ] , Category [ TEXT ] , Volume [ INT ] music_festival.Volume = volume.Volume_ID , 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); |
-- Database schema
| artist : Artist_ID [ INT ] primary_key , Artist [ TEXT ] , Age [ INT ] , Famous_Title [ TEXT ] , Famous_Release_date [ TEXT ] | volume : Volume_ID [ INT ] primary_key , Volume_Issue [ TEXT ] , Issue_Date [ TEXT ] , Weeks_on_Top [ INT ] , Song [ TEXT ] , Artist_ID [ INT ] volume.Artist_ID = artist.Artist_ID | music_festival : ID [ INT ] primary_key , Music_Festival [ TEXT ] , Date_of_ceremony [ TEXT ] , Category [ TEXT ] , Volume [ INT ] music_festival.Volume = volume.Volume_ID , 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); |
-- Database schema
| artist : Artist_ID [ INT ] primary_key , Artist [ TEXT ] , Age [ INT ] , Famous_Title [ TEXT ] , Famous_Release_date [ TEXT ] | volume : Volume_ID [ INT ] primary_key , Volume_Issue [ TEXT ] , Issue_Date [ TEXT ] , Weeks_on_Top [ INT ] , Song [ TEXT ] , Artist_ID [ INT ] volume.Artist_ID = artist.Artist_ID | music_festival : ID [ INT ] primary_key , Music_Festival [ TEXT ] , Date_of_ceremony [ TEXT ] , Category [ TEXT ] , Volume [ INT ] music_festival.Volume = volume.Volume_ID , 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; |
-- Database schema
| artist : Artist_ID [ INT ] primary_key , Artist [ TEXT ] , Age [ INT ] , Famous_Title [ TEXT ] , Famous_Release_date [ TEXT ] | volume : Volume_ID [ INT ] primary_key , Volume_Issue [ TEXT ] , Issue_Date [ TEXT ] , Weeks_on_Top [ INT ] , Song [ TEXT ] , Artist_ID [ INT ] volume.Artist_ID = artist.Artist_ID | music_festival : ID [ INT ] primary_key , Music_Festival [ TEXT ] , Date_of_ceremony [ TEXT ] , Category [ TEXT ] , Volume [ INT ] music_festival.Volume = volume.Volume_ID , 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; |
-- Database schema
| artist : Artist_ID [ INT ] primary_key , Artist [ TEXT ] , Age [ INT ] , Famous_Title [ TEXT ] , Famous_Release_date [ TEXT ] | volume : Volume_ID [ INT ] primary_key , Volume_Issue [ TEXT ] , Issue_Date [ TEXT ] , Weeks_on_Top [ INT ] , Song [ TEXT ] , Artist_ID [ INT ] volume.Artist_ID = artist.Artist_ID | music_festival : ID [ INT ] primary_key , Music_Festival [ TEXT ] , Date_of_ceremony [ TEXT ] , Category [ TEXT ] , Volume [ INT ] music_festival.Volume = volume.Volume_ID , 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"; |
-- Database schema
| artist : Artist_ID [ INT ] primary_key , Artist [ TEXT ] , Age [ INT ] , Famous_Title [ TEXT ] , Famous_Release_date [ TEXT ] | volume : Volume_ID [ INT ] primary_key , Volume_Issue [ TEXT ] , Issue_Date [ TEXT ] , Weeks_on_Top [ INT ] , Song [ TEXT ] , Artist_ID [ INT ] volume.Artist_ID = artist.Artist_ID | music_festival : ID [ INT ] primary_key , Music_Festival [ TEXT ] , Date_of_ceremony [ TEXT ] , Category [ TEXT ] , Volume [ INT ] music_festival.Volume = volume.Volume_ID , 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"; |
-- Database schema
| artist : Artist_ID [ INT ] primary_key , Artist [ TEXT ] , Age [ INT ] , Famous_Title [ TEXT ] , Famous_Release_date [ TEXT ] | volume : Volume_ID [ INT ] primary_key , Volume_Issue [ TEXT ] , Issue_Date [ TEXT ] , Weeks_on_Top [ INT ] , Song [ TEXT ] , Artist_ID [ INT ] volume.Artist_ID = artist.Artist_ID | music_festival : ID [ INT ] primary_key , Music_Festival [ TEXT ] , Date_of_ceremony [ TEXT ] , Category [ TEXT ] , Volume [ INT ] music_festival.Volume = volume.Volume_ID , 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; |
-- Database schema
| artist : Artist_ID [ INT ] primary_key , Artist [ TEXT ] , Age [ INT ] , Famous_Title [ TEXT ] , Famous_Release_date [ TEXT ] | volume : Volume_ID [ INT ] primary_key , Volume_Issue [ TEXT ] , Issue_Date [ TEXT ] , Weeks_on_Top [ INT ] , Song [ TEXT ] , Artist_ID [ INT ] volume.Artist_ID = artist.Artist_ID | music_festival : ID [ INT ] primary_key , Music_Festival [ TEXT ] , Date_of_ceremony [ TEXT ] , Category [ TEXT ] , Volume [ INT ] music_festival.Volume = volume.Volume_ID , 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; |
-- Database schema
| artist : Artist_ID [ INT ] primary_key , Artist [ TEXT ] , Age [ INT ] , Famous_Title [ TEXT ] , Famous_Release_date [ TEXT ] | volume : Volume_ID [ INT ] primary_key , Volume_Issue [ TEXT ] , Issue_Date [ TEXT ] , Weeks_on_Top [ INT ] , Song [ TEXT ] , Artist_ID [ INT ] volume.Artist_ID = artist.Artist_ID | music_festival : ID [ INT ] primary_key , Music_Festival [ TEXT ] , Date_of_ceremony [ TEXT ] , Category [ TEXT ] , Volume [ INT ] music_festival.Volume = volume.Volume_ID , Result [ TEXT ] |
-- -- How many distinct artists have volumes?
| SELECT COUNT(DISTINCT Artist_ID) FROM volume; |
-- Database schema
| artist : Artist_ID [ INT ] primary_key , Artist [ TEXT ] , Age [ INT ] , Famous_Title [ TEXT ] , Famous_Release_date [ TEXT ] | volume : Volume_ID [ INT ] primary_key , Volume_Issue [ TEXT ] , Issue_Date [ TEXT ] , Weeks_on_Top [ INT ] , Song [ TEXT ] , Artist_ID [ INT ] volume.Artist_ID = artist.Artist_ID | music_festival : ID [ INT ] primary_key , Music_Festival [ TEXT ] , Date_of_ceremony [ TEXT ] , Category [ TEXT ] , Volume [ INT ] music_festival.Volume = volume.Volume_ID , Result [ TEXT ] |
-- -- Count the number of artists who have had volumes.
| SELECT COUNT(DISTINCT Artist_ID) FROM volume; |
-- Database schema
| artist : Artist_ID [ INT ] primary_key , Artist [ TEXT ] , Age [ INT ] , Famous_Title [ TEXT ] , Famous_Release_date [ TEXT ] | volume : Volume_ID [ INT ] primary_key , Volume_Issue [ TEXT ] , Issue_Date [ TEXT ] , Weeks_on_Top [ INT ] , Song [ TEXT ] , Artist_ID [ INT ] volume.Artist_ID = artist.Artist_ID | music_festival : ID [ INT ] primary_key , Music_Festival [ TEXT ] , Date_of_ceremony [ TEXT ] , Category [ TEXT ] , Volume [ INT ] music_festival.Volume = volume.Volume_ID , 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; |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.