Datasets:
philikai
/
Spider-SQL-LLAMA2_train

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question
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primary_keys
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customers_and_addresses
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"
Return the the "active to date" of the latest contact channel used by the customer named "Tillman Ernser".
[Schema (values) (types)]: | customers_and_addresses | Addresses : address_id (text) , address_content (number) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | Products : product_id (text) , product_details (number) | Customers : customer_id (text) , payment_method (number) , customer_name (text) , date_became_customer (text) , other_customer_details (text) | Customer_Addresses : customer_id (text) , address_id (number) , date_address_from (text) , address_type (text) , date_address_to (text) | Customer_Contact_Channels : customer_id (text) , channel_code (number) , active_from_date (text) , active_to_date (text) , contact_number (text) | Customer_Orders : order_id (text) , customer_id (number) , order_status (text) , order_date (text) , order_details (text) | Order_Items : order_id (text) , product_id (number) , order_quantity (text);
[Primary Keys]: addresses : address_id, products : product_id, customers : customer_id, customer_addresses : order_id
[Foreign Keys]: customer_addresses : customer_id = customers : customer_id | customer_addresses : address_id = addresses : address_id | customer_contact_channels : customer_id = customers : customer_id | customer_orders : customer_id = customers : customer_id | order_items : order_id = customer_orders : order_id | order_items : product_id = products : product_id
customers_and_addresses
SELECT avg(active_to_date - active_from_date) FROM customer_contact_channels
What is the average time span of contact channels in the database?
[Schema (values) (types)]: | customers_and_addresses | Addresses : address_id (text) , address_content (number) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | Products : product_id (text) , product_details (number) | Customers : customer_id (text) , payment_method (number) , customer_name (text) , date_became_customer (text) , other_customer_details (text) | Customer_Addresses : customer_id (text) , address_id (number) , date_address_from (text) , address_type (text) , date_address_to (text) | Customer_Contact_Channels : customer_id (text) , channel_code (number) , active_from_date (text) , active_to_date (text) , contact_number (text) | Customer_Orders : order_id (text) , customer_id (number) , order_status (text) , order_date (text) , order_details (text) | Order_Items : order_id (text) , product_id (number) , order_quantity (text);
[Primary Keys]: addresses : address_id, products : product_id, customers : customer_id, customer_addresses : order_id
[Foreign Keys]: customer_addresses : customer_id = customers : customer_id | customer_addresses : address_id = addresses : address_id | customer_contact_channels : customer_id = customers : customer_id | customer_orders : customer_id = customers : customer_id | order_items : order_id = customer_orders : order_id | order_items : product_id = products : product_id
customers_and_addresses
SELECT avg(active_to_date - active_from_date) FROM customer_contact_channels
Compute the average active time span of contact channels.
[Schema (values) (types)]: | customers_and_addresses | Addresses : address_id (text) , address_content (number) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | Products : product_id (text) , product_details (number) | Customers : customer_id (text) , payment_method (number) , customer_name (text) , date_became_customer (text) , other_customer_details (text) | Customer_Addresses : customer_id (text) , address_id (number) , date_address_from (text) , address_type (text) , date_address_to (text) | Customer_Contact_Channels : customer_id (text) , channel_code (number) , active_from_date (text) , active_to_date (text) , contact_number (text) | Customer_Orders : order_id (text) , customer_id (number) , order_status (text) , order_date (text) , order_details (text) | Order_Items : order_id (text) , product_id (number) , order_quantity (text);
[Primary Keys]: addresses : address_id, products : product_id, customers : customer_id, customer_addresses : order_id
[Foreign Keys]: customer_addresses : customer_id = customers : customer_id | customer_addresses : address_id = addresses : address_id | customer_contact_channels : customer_id = customers : customer_id | customer_orders : customer_id = customers : customer_id | order_items : order_id = customer_orders : order_id | order_items : product_id = products : product_id
customers_and_addresses
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)
What is the channel code and contact number of the customer contact channel that was active for the longest time?
[Schema (values) (types)]: | customers_and_addresses | Addresses : address_id (text) , address_content (number) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | Products : product_id (text) , product_details (number) | Customers : customer_id (text) , payment_method (number) , customer_name (text) , date_became_customer (text) , other_customer_details (text) | Customer_Addresses : customer_id (text) , address_id (number) , date_address_from (text) , address_type (text) , date_address_to (text) | Customer_Contact_Channels : customer_id (text) , channel_code (number) , active_from_date (text) , active_to_date (text) , contact_number (text) | Customer_Orders : order_id (text) , customer_id (number) , order_status (text) , order_date (text) , order_details (text) | Order_Items : order_id (text) , product_id (number) , order_quantity (text);
[Primary Keys]: addresses : address_id, products : product_id, customers : customer_id, customer_addresses : order_id
[Foreign Keys]: customer_addresses : customer_id = customers : customer_id | customer_addresses : address_id = addresses : address_id | customer_contact_channels : customer_id = customers : customer_id | customer_orders : customer_id = customers : customer_id | order_items : order_id = customer_orders : order_id | order_items : product_id = products : product_id
customers_and_addresses
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)
Return the channel code and contact number of the customer contact channel whose active duration was the longest.
[Schema (values) (types)]: | customers_and_addresses | Addresses : address_id (text) , address_content (number) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | Products : product_id (text) , product_details (number) | Customers : customer_id (text) , payment_method (number) , customer_name (text) , date_became_customer (text) , other_customer_details (text) | Customer_Addresses : customer_id (text) , address_id (number) , date_address_from (text) , address_type (text) , date_address_to (text) | Customer_Contact_Channels : customer_id (text) , channel_code (number) , active_from_date (text) , active_to_date (text) , contact_number (text) | Customer_Orders : order_id (text) , customer_id (number) , order_status (text) , order_date (text) , order_details (text) | Order_Items : order_id (text) , product_id (number) , order_quantity (text);
[Primary Keys]: addresses : address_id, products : product_id, customers : customer_id, customer_addresses : order_id
[Foreign Keys]: customer_addresses : customer_id = customers : customer_id | customer_addresses : address_id = addresses : address_id | customer_contact_channels : customer_id = customers : customer_id | customer_orders : customer_id = customers : customer_id | order_items : order_id = customer_orders : order_id | order_items : product_id = products : product_id
customers_and_addresses
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'
Find the name and active date of the customer that use email as the contact channel.
[Schema (values) (types)]: | customers_and_addresses | Addresses : address_id (text) , address_content (number) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | Products : product_id (text) , product_details (number) | Customers : customer_id (text) , payment_method (number) , customer_name (text) , date_became_customer (text) , other_customer_details (text) | Customer_Addresses : customer_id (text) , address_id (number) , date_address_from (text) , address_type (text) , date_address_to (text) | Customer_Contact_Channels : customer_id (text) , channel_code (number) , active_from_date (text) , active_to_date (text) , contact_number (text) | Customer_Orders : order_id (text) , customer_id (number) , order_status (text) , order_date (text) , order_details (text) | Order_Items : order_id (text) , product_id (number) , order_quantity (text);
[Primary Keys]: addresses : address_id, products : product_id, customers : customer_id, customer_addresses : order_id
[Foreign Keys]: customer_addresses : customer_id = customers : customer_id | customer_addresses : address_id = addresses : address_id | customer_contact_channels : customer_id = customers : customer_id | customer_orders : customer_id = customers : customer_id | order_items : order_id = customer_orders : order_id | order_items : product_id = products : product_id
customers_and_addresses
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'
What are the name and active date of the customers whose contact channel code is email?
[Schema (values) (types)]: | customers_and_addresses | Addresses : address_id (text) , address_content (number) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | Products : product_id (text) , product_details (number) | Customers : customer_id (text) , payment_method (number) , customer_name (text) , date_became_customer (text) , other_customer_details (text) | Customer_Addresses : customer_id (text) , address_id (number) , date_address_from (text) , address_type (text) , date_address_to (text) | Customer_Contact_Channels : customer_id (text) , channel_code (number) , active_from_date (text) , active_to_date (text) , contact_number (text) | Customer_Orders : order_id (text) , customer_id (number) , order_status (text) , order_date (text) , order_details (text) | Order_Items : order_id (text) , product_id (number) , order_quantity (text);
[Primary Keys]: addresses : address_id, products : product_id, customers : customer_id, customer_addresses : order_id
[Foreign Keys]: customer_addresses : customer_id = customers : customer_id | customer_addresses : address_id = addresses : address_id | customer_contact_channels : customer_id = customers : customer_id | customer_orders : customer_id = customers : customer_id | order_items : order_id = customer_orders : order_id | order_items : product_id = products : product_id
customers_and_addresses
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)
What is the name of the customer that made the order with the largest quantity?
[Schema (values) (types)]: | customers_and_addresses | Addresses : address_id (text) , address_content (number) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | Products : product_id (text) , product_details (number) | Customers : customer_id (text) , payment_method (number) , customer_name (text) , date_became_customer (text) , other_customer_details (text) | Customer_Addresses : customer_id (text) , address_id (number) , date_address_from (text) , address_type (text) , date_address_to (text) | Customer_Contact_Channels : customer_id (text) , channel_code (number) , active_from_date (text) , active_to_date (text) , contact_number (text) | Customer_Orders : order_id (text) , customer_id (number) , order_status (text) , order_date (text) , order_details (text) | Order_Items : order_id (text) , product_id (number) , order_quantity (text);
[Primary Keys]: addresses : address_id, products : product_id, customers : customer_id, customer_addresses : order_id
[Foreign Keys]: customer_addresses : customer_id = customers : customer_id | customer_addresses : address_id = addresses : address_id | customer_contact_channels : customer_id = customers : customer_id | customer_orders : customer_id = customers : customer_id | order_items : order_id = customer_orders : order_id | order_items : product_id = products : product_id
customers_and_addresses
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)
Find the name of the customer who made the order of the largest amount of goods.
[Schema (values) (types)]: | customers_and_addresses | Addresses : address_id (text) , address_content (number) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | Products : product_id (text) , product_details (number) | Customers : customer_id (text) , payment_method (number) , customer_name (text) , date_became_customer (text) , other_customer_details (text) | Customer_Addresses : customer_id (text) , address_id (number) , date_address_from (text) , address_type (text) , date_address_to (text) | Customer_Contact_Channels : customer_id (text) , channel_code (number) , active_from_date (text) , active_to_date (text) , contact_number (text) | Customer_Orders : order_id (text) , customer_id (number) , order_status (text) , order_date (text) , order_details (text) | Order_Items : order_id (text) , product_id (number) , order_quantity (text);
[Primary Keys]: addresses : address_id, products : product_id, customers : customer_id, customer_addresses : order_id
[Foreign Keys]: customer_addresses : customer_id = customers : customer_id | customer_addresses : address_id = addresses : address_id | customer_contact_channels : customer_id = customers : customer_id | customer_orders : customer_id = customers : customer_id | order_items : order_id = customer_orders : order_id | order_items : product_id = products : product_id
customers_and_addresses
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
What is the name of the customer that has purchased the most items?
[Schema (values) (types)]: | customers_and_addresses | Addresses : address_id (text) , address_content (number) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | Products : product_id (text) , product_details (number) | Customers : customer_id (text) , payment_method (number) , customer_name (text) , date_became_customer (text) , other_customer_details (text) | Customer_Addresses : customer_id (text) , address_id (number) , date_address_from (text) , address_type (text) , date_address_to (text) | Customer_Contact_Channels : customer_id (text) , channel_code (number) , active_from_date (text) , active_to_date (text) , contact_number (text) | Customer_Orders : order_id (text) , customer_id (number) , order_status (text) , order_date (text) , order_details (text) | Order_Items : order_id (text) , product_id (number) , order_quantity (text);
[Primary Keys]: addresses : address_id, products : product_id, customers : customer_id, customer_addresses : order_id
[Foreign Keys]: customer_addresses : customer_id = customers : customer_id | customer_addresses : address_id = addresses : address_id | customer_contact_channels : customer_id = customers : customer_id | customer_orders : customer_id = customers : customer_id | order_items : order_id = customer_orders : order_id | order_items : product_id = products : product_id
customers_and_addresses
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
Give me the name of the customer who ordered the most items in total.
[Schema (values) (types)]: | customers_and_addresses | Addresses : address_id (text) , address_content (number) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | Products : product_id (text) , product_details (number) | Customers : customer_id (text) , payment_method (number) , customer_name (text) , date_became_customer (text) , other_customer_details (text) | Customer_Addresses : customer_id (text) , address_id (number) , date_address_from (text) , address_type (text) , date_address_to (text) | Customer_Contact_Channels : customer_id (text) , channel_code (number) , active_from_date (text) , active_to_date (text) , contact_number (text) | Customer_Orders : order_id (text) , customer_id (number) , order_status (text) , order_date (text) , order_details (text) | Order_Items : order_id (text) , product_id (number) , order_quantity (text);
[Primary Keys]: addresses : address_id, products : product_id, customers : customer_id, customer_addresses : order_id
[Foreign Keys]: customer_addresses : customer_id = customers : customer_id | customer_addresses : address_id = addresses : address_id | customer_contact_channels : customer_id = customers : customer_id | customer_orders : customer_id = customers : customer_id | order_items : order_id = customer_orders : order_id | order_items : product_id = products : product_id
customers_and_addresses
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
What is the payment method of the customer that has purchased the least quantity of items?
[Schema (values) (types)]: | customers_and_addresses | Addresses : address_id (text) , address_content (number) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | Products : product_id (text) , product_details (number) | Customers : customer_id (text) , payment_method (number) , customer_name (text) , date_became_customer (text) , other_customer_details (text) | Customer_Addresses : customer_id (text) , address_id (number) , date_address_from (text) , address_type (text) , date_address_to (text) | Customer_Contact_Channels : customer_id (text) , channel_code (number) , active_from_date (text) , active_to_date (text) , contact_number (text) | Customer_Orders : order_id (text) , customer_id (number) , order_status (text) , order_date (text) , order_details (text) | Order_Items : order_id (text) , product_id (number) , order_quantity (text);
[Primary Keys]: addresses : address_id, products : product_id, customers : customer_id, customer_addresses : order_id
[Foreign Keys]: customer_addresses : customer_id = customers : customer_id | customer_addresses : address_id = addresses : address_id | customer_contact_channels : customer_id = customers : customer_id | customer_orders : customer_id = customers : customer_id | order_items : order_id = customer_orders : order_id | order_items : product_id = products : product_id
customers_and_addresses
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
Tell me the payment method used by the customer who ordered the least amount of goods in total.
[Schema (values) (types)]: | customers_and_addresses | Addresses : address_id (text) , address_content (number) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | Products : product_id (text) , product_details (number) | Customers : customer_id (text) , payment_method (number) , customer_name (text) , date_became_customer (text) , other_customer_details (text) | Customer_Addresses : customer_id (text) , address_id (number) , date_address_from (text) , address_type (text) , date_address_to (text) | Customer_Contact_Channels : customer_id (text) , channel_code (number) , active_from_date (text) , active_to_date (text) , contact_number (text) | Customer_Orders : order_id (text) , customer_id (number) , order_status (text) , order_date (text) , order_details (text) | Order_Items : order_id (text) , product_id (number) , order_quantity (text);
[Primary Keys]: addresses : address_id, products : product_id, customers : customer_id, customer_addresses : order_id
[Foreign Keys]: customer_addresses : customer_id = customers : customer_id | customer_addresses : address_id = addresses : address_id | customer_contact_channels : customer_id = customers : customer_id | customer_orders : customer_id = customers : customer_id | order_items : order_id = customer_orders : order_id | order_items : product_id = products : product_id
customers_and_addresses
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"
How many types of products have Rodrick Heaney bought in total?
[Schema (values) (types)]: | customers_and_addresses | Addresses : address_id (text) , address_content (number) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | Products : product_id (text) , product_details (number) | Customers : customer_id (text) , payment_method (number) , customer_name (text) , date_became_customer (text) , other_customer_details (text) | Customer_Addresses : customer_id (text) , address_id (number) , date_address_from (text) , address_type (text) , date_address_to (text) | Customer_Contact_Channels : customer_id (text) , channel_code (number) , active_from_date (text) , active_to_date (text) , contact_number (text) | Customer_Orders : order_id (text) , customer_id (number) , order_status (text) , order_date (text) , order_details (text) | Order_Items : order_id (text) , product_id (number) , order_quantity (text);
[Primary Keys]: addresses : address_id, products : product_id, customers : customer_id, customer_addresses : order_id
[Foreign Keys]: customer_addresses : customer_id = customers : customer_id | customer_addresses : address_id = addresses : address_id | customer_contact_channels : customer_id = customers : customer_id | customer_orders : customer_id = customers : customer_id | order_items : order_id = customer_orders : order_id | order_items : product_id = products : product_id
customers_and_addresses
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"
Find the number of distinct products Rodrick Heaney has bought so far.
[Schema (values) (types)]: | customers_and_addresses | Addresses : address_id (text) , address_content (number) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | Products : product_id (text) , product_details (number) | Customers : customer_id (text) , payment_method (number) , customer_name (text) , date_became_customer (text) , other_customer_details (text) | Customer_Addresses : customer_id (text) , address_id (number) , date_address_from (text) , address_type (text) , date_address_to (text) | Customer_Contact_Channels : customer_id (text) , channel_code (number) , active_from_date (text) , active_to_date (text) , contact_number (text) | Customer_Orders : order_id (text) , customer_id (number) , order_status (text) , order_date (text) , order_details (text) | Order_Items : order_id (text) , product_id (number) , order_quantity (text);
[Primary Keys]: addresses : address_id, products : product_id, customers : customer_id, customer_addresses : order_id
[Foreign Keys]: customer_addresses : customer_id = customers : customer_id | customer_addresses : address_id = addresses : address_id | customer_contact_channels : customer_id = customers : customer_id | customer_orders : customer_id = customers : customer_id | order_items : order_id = customer_orders : order_id | order_items : product_id = products : product_id
customers_and_addresses
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"
What is the total quantity of products purchased by "Rodrick Heaney"?
[Schema (values) (types)]: | customers_and_addresses | Addresses : address_id (text) , address_content (number) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | Products : product_id (text) , product_details (number) | Customers : customer_id (text) , payment_method (number) , customer_name (text) , date_became_customer (text) , other_customer_details (text) | Customer_Addresses : customer_id (text) , address_id (number) , date_address_from (text) , address_type (text) , date_address_to (text) | Customer_Contact_Channels : customer_id (text) , channel_code (number) , active_from_date (text) , active_to_date (text) , contact_number (text) | Customer_Orders : order_id (text) , customer_id (number) , order_status (text) , order_date (text) , order_details (text) | Order_Items : order_id (text) , product_id (number) , order_quantity (text);
[Primary Keys]: addresses : address_id, products : product_id, customers : customer_id, customer_addresses : order_id
[Foreign Keys]: customer_addresses : customer_id = customers : customer_id | customer_addresses : address_id = addresses : address_id | customer_contact_channels : customer_id = customers : customer_id | customer_orders : customer_id = customers : customer_id | order_items : order_id = customer_orders : order_id | order_items : product_id = products : product_id
customers_and_addresses
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"
Tell me the total quantity of products bought by the customer called "Rodrick Heaney".
[Schema (values) (types)]: | customers_and_addresses | Addresses : address_id (text) , address_content (number) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | Products : product_id (text) , product_details (number) | Customers : customer_id (text) , payment_method (number) , customer_name (text) , date_became_customer (text) , other_customer_details (text) | Customer_Addresses : customer_id (text) , address_id (number) , date_address_from (text) , address_type (text) , date_address_to (text) | Customer_Contact_Channels : customer_id (text) , channel_code (number) , active_from_date (text) , active_to_date (text) , contact_number (text) | Customer_Orders : order_id (text) , customer_id (number) , order_status (text) , order_date (text) , order_details (text) | Order_Items : order_id (text) , product_id (number) , order_quantity (text);
[Primary Keys]: addresses : address_id, products : product_id, customers : customer_id, customer_addresses : order_id
[Foreign Keys]: customer_addresses : customer_id = customers : customer_id | customer_addresses : address_id = addresses : address_id | customer_contact_channels : customer_id = customers : customer_id | customer_orders : customer_id = customers : customer_id | order_items : order_id = customer_orders : order_id | order_items : product_id = products : product_id
customers_and_addresses
SELECT count(DISTINCT customer_id) FROM customer_orders WHERE order_status = "Cancelled"
How many customers have at least one order with status "Cancelled"?
[Schema (values) (types)]: | customers_and_addresses | Addresses : address_id (text) , address_content (number) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | Products : product_id (text) , product_details (number) | Customers : customer_id (text) , payment_method (number) , customer_name (text) , date_became_customer (text) , other_customer_details (text) | Customer_Addresses : customer_id (text) , address_id (number) , date_address_from (text) , address_type (text) , date_address_to (text) | Customer_Contact_Channels : customer_id (text) , channel_code (number) , active_from_date (text) , active_to_date (text) , contact_number (text) | Customer_Orders : order_id (text) , customer_id (number) , order_status (text) , order_date (text) , order_details (text) | Order_Items : order_id (text) , product_id (number) , order_quantity (text);
[Primary Keys]: addresses : address_id, products : product_id, customers : customer_id, customer_addresses : order_id
[Foreign Keys]: customer_addresses : customer_id = customers : customer_id | customer_addresses : address_id = addresses : address_id | customer_contact_channels : customer_id = customers : customer_id | customer_orders : customer_id = customers : customer_id | order_items : order_id = customer_orders : order_id | order_items : product_id = products : product_id
customers_and_addresses
SELECT count(DISTINCT customer_id) FROM customer_orders WHERE order_status = "Cancelled"
Return the number of customers who have at least one order with "Cancelled" status.
[Schema (values) (types)]: | customers_and_addresses | Addresses : address_id (text) , address_content (number) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | Products : product_id (text) , product_details (number) | Customers : customer_id (text) , payment_method (number) , customer_name (text) , date_became_customer (text) , other_customer_details (text) | Customer_Addresses : customer_id (text) , address_id (number) , date_address_from (text) , address_type (text) , date_address_to (text) | Customer_Contact_Channels : customer_id (text) , channel_code (number) , active_from_date (text) , active_to_date (text) , contact_number (text) | Customer_Orders : order_id (text) , customer_id (number) , order_status (text) , order_date (text) , order_details (text) | Order_Items : order_id (text) , product_id (number) , order_quantity (text);
[Primary Keys]: addresses : address_id, products : product_id, customers : customer_id, customer_addresses : order_id
[Foreign Keys]: customer_addresses : customer_id = customers : customer_id | customer_addresses : address_id = addresses : address_id | customer_contact_channels : customer_id = customers : customer_id | customer_orders : customer_id = customers : customer_id | order_items : order_id = customer_orders : order_id | order_items : product_id = products : product_id
customers_and_addresses
SELECT count(*) FROM customer_orders WHERE order_details = "Second time"
How many orders have detail "Second time"?
[Schema (values) (types)]: | customers_and_addresses | Addresses : address_id (text) , address_content (number) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | Products : product_id (text) , product_details (number) | Customers : customer_id (text) , payment_method (number) , customer_name (text) , date_became_customer (text) , other_customer_details (text) | Customer_Addresses : customer_id (text) , address_id (number) , date_address_from (text) , address_type (text) , date_address_to (text) | Customer_Contact_Channels : customer_id (text) , channel_code (number) , active_from_date (text) , active_to_date (text) , contact_number (text) | Customer_Orders : order_id (text) , customer_id (number) , order_status (text) , order_date (text) , order_details (text) | Order_Items : order_id (text) , product_id (number) , order_quantity (text);
[Primary Keys]: addresses : address_id, products : product_id, customers : customer_id, customer_addresses : order_id
[Foreign Keys]: customer_addresses : customer_id = customers : customer_id | customer_addresses : address_id = addresses : address_id | customer_contact_channels : customer_id = customers : customer_id | customer_orders : customer_id = customers : customer_id | order_items : order_id = customer_orders : order_id | order_items : product_id = products : product_id
customers_and_addresses
SELECT count(*) FROM customer_orders WHERE order_details = "Second time"
Tell me the number of orders with "Second time" as order detail.
[Schema (values) (types)]: | customers_and_addresses | Addresses : address_id (text) , address_content (number) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | Products : product_id (text) , product_details (number) | Customers : customer_id (text) , payment_method (number) , customer_name (text) , date_became_customer (text) , other_customer_details (text) | Customer_Addresses : customer_id (text) , address_id (number) , date_address_from (text) , address_type (text) , date_address_to (text) | Customer_Contact_Channels : customer_id (text) , channel_code (number) , active_from_date (text) , active_to_date (text) , contact_number (text) | Customer_Orders : order_id (text) , customer_id (number) , order_status (text) , order_date (text) , order_details (text) | Order_Items : order_id (text) , product_id (number) , order_quantity (text);
[Primary Keys]: addresses : address_id, products : product_id, customers : customer_id, customer_addresses : order_id
[Foreign Keys]: customer_addresses : customer_id = customers : customer_id | customer_addresses : address_id = addresses : address_id | customer_contact_channels : customer_id = customers : customer_id | customer_orders : customer_id = customers : customer_id | order_items : order_id = customer_orders : order_id | order_items : product_id = products : product_id
customers_and_addresses
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"
Find the customer name and date of the orders that have the status "Delivered".
[Schema (values) (types)]: | customers_and_addresses | Addresses : address_id (text) , address_content (number) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | Products : product_id (text) , product_details (number) | Customers : customer_id (text) , payment_method (number) , customer_name (text) , date_became_customer (text) , other_customer_details (text) | Customer_Addresses : customer_id (text) , address_id (number) , date_address_from (text) , address_type (text) , date_address_to (text) | Customer_Contact_Channels : customer_id (text) , channel_code (number) , active_from_date (text) , active_to_date (text) , contact_number (text) | Customer_Orders : order_id (text) , customer_id (number) , order_status (text) , order_date (text) , order_details (text) | Order_Items : order_id (text) , product_id (number) , order_quantity (text);
[Primary Keys]: addresses : address_id, products : product_id, customers : customer_id, customer_addresses : order_id
[Foreign Keys]: customer_addresses : customer_id = customers : customer_id | customer_addresses : address_id = addresses : address_id | customer_contact_channels : customer_id = customers : customer_id | customer_orders : customer_id = customers : customer_id | order_items : order_id = customer_orders : order_id | order_items : product_id = products : product_id
customers_and_addresses
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"
What are the customer name and date of the orders whose status is "Delivered".
[Schema (values) (types)]: | customers_and_addresses | Addresses : address_id (text) , address_content (number) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | Products : product_id (text) , product_details (number) | Customers : customer_id (text) , payment_method (number) , customer_name (text) , date_became_customer (text) , other_customer_details (text) | Customer_Addresses : customer_id (text) , address_id (number) , date_address_from (text) , address_type (text) , date_address_to (text) | Customer_Contact_Channels : customer_id (text) , channel_code (number) , active_from_date (text) , active_to_date (text) , contact_number (text) | Customer_Orders : order_id (text) , customer_id (number) , order_status (text) , order_date (text) , order_details (text) | Order_Items : order_id (text) , product_id (number) , order_quantity (text);
[Primary Keys]: addresses : address_id, products : product_id, customers : customer_id, customer_addresses : order_id
[Foreign Keys]: customer_addresses : customer_id = customers : customer_id | customer_addresses : address_id = addresses : address_id | customer_contact_channels : customer_id = customers : customer_id | customer_orders : customer_id = customers : customer_id | order_items : order_id = customer_orders : order_id | order_items : product_id = products : product_id
customers_and_addresses
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"
What is the total number of products that are in orders with status "Cancelled"?
[Schema (values) (types)]: | customers_and_addresses | Addresses : address_id (text) , address_content (number) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | Products : product_id (text) , product_details (number) | Customers : customer_id (text) , payment_method (number) , customer_name (text) , date_became_customer (text) , other_customer_details (text) | Customer_Addresses : customer_id (text) , address_id (number) , date_address_from (text) , address_type (text) , date_address_to (text) | Customer_Contact_Channels : customer_id (text) , channel_code (number) , active_from_date (text) , active_to_date (text) , contact_number (text) | Customer_Orders : order_id (text) , customer_id (number) , order_status (text) , order_date (text) , order_details (text) | Order_Items : order_id (text) , product_id (number) , order_quantity (text);
[Primary Keys]: addresses : address_id, products : product_id, customers : customer_id, customer_addresses : order_id
[Foreign Keys]: customer_addresses : customer_id = customers : customer_id | customer_addresses : address_id = addresses : address_id | customer_contact_channels : customer_id = customers : customer_id | customer_orders : customer_id = customers : customer_id | order_items : order_id = customer_orders : order_id | order_items : product_id = products : product_id
customers_and_addresses
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"
Find the total quantity of products associated with the orders in the "Cancelled" status.
[Schema (values) (types)]: | customers_and_addresses | Addresses : address_id (text) , address_content (number) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | Products : product_id (text) , product_details (number) | Customers : customer_id (text) , payment_method (number) , customer_name (text) , date_became_customer (text) , other_customer_details (text) | Customer_Addresses : customer_id (text) , address_id (number) , date_address_from (text) , address_type (text) , date_address_to (text) | Customer_Contact_Channels : customer_id (text) , channel_code (number) , active_from_date (text) , active_to_date (text) , contact_number (text) | Customer_Orders : order_id (text) , customer_id (number) , order_status (text) , order_date (text) , order_details (text) | Order_Items : order_id (text) , product_id (number) , order_quantity (text);
[Primary Keys]: addresses : address_id, products : product_id, customers : customer_id, customer_addresses : order_id
[Foreign Keys]: customer_addresses : customer_id = customers : customer_id | customer_addresses : address_id = addresses : address_id | customer_contact_channels : customer_id = customers : customer_id | customer_orders : customer_id = customers : customer_id | order_items : order_id = customer_orders : order_id | order_items : product_id = products : product_id
customers_and_addresses
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"
Find the total amount of products ordered before 2018-03-17 07:13:53.
[Schema (values) (types)]: | customers_and_addresses | Addresses : address_id (text) , address_content (number) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | Products : product_id (text) , product_details (number) | Customers : customer_id (text) , payment_method (number) , customer_name (text) , date_became_customer (text) , other_customer_details (text) | Customer_Addresses : customer_id (text) , address_id (number) , date_address_from (text) , address_type (text) , date_address_to (text) | Customer_Contact_Channels : customer_id (text) , channel_code (number) , active_from_date (text) , active_to_date (text) , contact_number (text) | Customer_Orders : order_id (text) , customer_id (number) , order_status (text) , order_date (text) , order_details (text) | Order_Items : order_id (text) , product_id (number) , order_quantity (text);
[Primary Keys]: addresses : address_id, products : product_id, customers : customer_id, customer_addresses : order_id
[Foreign Keys]: customer_addresses : customer_id = customers : customer_id | customer_addresses : address_id = addresses : address_id | customer_contact_channels : customer_id = customers : customer_id | customer_orders : customer_id = customers : customer_id | order_items : order_id = customer_orders : order_id | order_items : product_id = products : product_id
customers_and_addresses
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"
What is the total amount of products purchased before 2018-03-17 07:13:53?
[Schema (values) (types)]: | customers_and_addresses | Addresses : address_id (text) , address_content (number) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | Products : product_id (text) , product_details (number) | Customers : customer_id (text) , payment_method (number) , customer_name (text) , date_became_customer (text) , other_customer_details (text) | Customer_Addresses : customer_id (text) , address_id (number) , date_address_from (text) , address_type (text) , date_address_to (text) | Customer_Contact_Channels : customer_id (text) , channel_code (number) , active_from_date (text) , active_to_date (text) , contact_number (text) | Customer_Orders : order_id (text) , customer_id (number) , order_status (text) , order_date (text) , order_details (text) | Order_Items : order_id (text) , product_id (number) , order_quantity (text);
[Primary Keys]: addresses : address_id, products : product_id, customers : customer_id, customer_addresses : order_id
[Foreign Keys]: customer_addresses : customer_id = customers : customer_id | customer_addresses : address_id = addresses : address_id | customer_contact_channels : customer_id = customers : customer_id | customer_orders : customer_id = customers : customer_id | order_items : order_id = customer_orders : order_id | order_items : product_id = products : product_id
customers_and_addresses
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
Who made the latest order?
[Schema (values) (types)]: | customers_and_addresses | Addresses : address_id (text) , address_content (number) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | Products : product_id (text) , product_details (number) | Customers : customer_id (text) , payment_method (number) , customer_name (text) , date_became_customer (text) , other_customer_details (text) | Customer_Addresses : customer_id (text) , address_id (number) , date_address_from (text) , address_type (text) , date_address_to (text) | Customer_Contact_Channels : customer_id (text) , channel_code (number) , active_from_date (text) , active_to_date (text) , contact_number (text) | Customer_Orders : order_id (text) , customer_id (number) , order_status (text) , order_date (text) , order_details (text) | Order_Items : order_id (text) , product_id (number) , order_quantity (text);
[Primary Keys]: addresses : address_id, products : product_id, customers : customer_id, customer_addresses : order_id
[Foreign Keys]: customer_addresses : customer_id = customers : customer_id | customer_addresses : address_id = addresses : address_id | customer_contact_channels : customer_id = customers : customer_id | customer_orders : customer_id = customers : customer_id | order_items : order_id = customer_orders : order_id | order_items : product_id = products : product_id
customers_and_addresses
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
Find the name of the customer who made an order most recently.
[Schema (values) (types)]: | customers_and_addresses | Addresses : address_id (text) , address_content (number) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | Products : product_id (text) , product_details (number) | Customers : customer_id (text) , payment_method (number) , customer_name (text) , date_became_customer (text) , other_customer_details (text) | Customer_Addresses : customer_id (text) , address_id (number) , date_address_from (text) , address_type (text) , date_address_to (text) | Customer_Contact_Channels : customer_id (text) , channel_code (number) , active_from_date (text) , active_to_date (text) , contact_number (text) | Customer_Orders : order_id (text) , customer_id (number) , order_status (text) , order_date (text) , order_details (text) | Order_Items : order_id (text) , product_id (number) , order_quantity (text);
[Primary Keys]: addresses : address_id, products : product_id, customers : customer_id, customer_addresses : order_id
[Foreign Keys]: customer_addresses : customer_id = customers : customer_id | customer_addresses : address_id = addresses : address_id | customer_contact_channels : customer_id = customers : customer_id | customer_orders : customer_id = customers : customer_id | order_items : order_id = customer_orders : order_id | order_items : product_id = products : product_id
customers_and_addresses
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
Which product has been ordered most number of times?
[Schema (values) (types)]: | customers_and_addresses | Addresses : address_id (text) , address_content (number) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | Products : product_id (text) , product_details (number) | Customers : customer_id (text) , payment_method (number) , customer_name (text) , date_became_customer (text) , other_customer_details (text) | Customer_Addresses : customer_id (text) , address_id (number) , date_address_from (text) , address_type (text) , date_address_to (text) | Customer_Contact_Channels : customer_id (text) , channel_code (number) , active_from_date (text) , active_to_date (text) , contact_number (text) | Customer_Orders : order_id (text) , customer_id (number) , order_status (text) , order_date (text) , order_details (text) | Order_Items : order_id (text) , product_id (number) , order_quantity (text);
[Primary Keys]: addresses : address_id, products : product_id, customers : customer_id, customer_addresses : order_id
[Foreign Keys]: customer_addresses : customer_id = customers : customer_id | customer_addresses : address_id = addresses : address_id | customer_contact_channels : customer_id = customers : customer_id | customer_orders : customer_id = customers : customer_id | order_items : order_id = customer_orders : order_id | order_items : product_id = products : product_id
customers_and_addresses
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
What is the most frequently ordered product? Tell me the detail of the product
[Schema (values) (types)]: | customers_and_addresses | Addresses : address_id (text) , address_content (number) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | Products : product_id (text) , product_details (number) | Customers : customer_id (text) , payment_method (number) , customer_name (text) , date_became_customer (text) , other_customer_details (text) | Customer_Addresses : customer_id (text) , address_id (number) , date_address_from (text) , address_type (text) , date_address_to (text) | Customer_Contact_Channels : customer_id (text) , channel_code (number) , active_from_date (text) , active_to_date (text) , contact_number (text) | Customer_Orders : order_id (text) , customer_id (number) , order_status (text) , order_date (text) , order_details (text) | Order_Items : order_id (text) , product_id (number) , order_quantity (text);
[Primary Keys]: addresses : address_id, products : product_id, customers : customer_id, customer_addresses : order_id
[Foreign Keys]: customer_addresses : customer_id = customers : customer_id | customer_addresses : address_id = addresses : address_id | customer_contact_channels : customer_id = customers : customer_id | customer_orders : customer_id = customers : customer_id | order_items : order_id = customer_orders : order_id | order_items : product_id = products : product_id
customers_and_addresses
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
Find the name and ID of the product whose total order quantity is the largest.
[Schema (values) (types)]: | customers_and_addresses | Addresses : address_id (text) , address_content (number) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | Products : product_id (text) , product_details (number) | Customers : customer_id (text) , payment_method (number) , customer_name (text) , date_became_customer (text) , other_customer_details (text) | Customer_Addresses : customer_id (text) , address_id (number) , date_address_from (text) , address_type (text) , date_address_to (text) | Customer_Contact_Channels : customer_id (text) , channel_code (number) , active_from_date (text) , active_to_date (text) , contact_number (text) | Customer_Orders : order_id (text) , customer_id (number) , order_status (text) , order_date (text) , order_details (text) | Order_Items : order_id (text) , product_id (number) , order_quantity (text);
[Primary Keys]: addresses : address_id, products : product_id, customers : customer_id, customer_addresses : order_id
[Foreign Keys]: customer_addresses : customer_id = customers : customer_id | customer_addresses : address_id = addresses : address_id | customer_contact_channels : customer_id = customers : customer_id | customer_orders : customer_id = customers : customer_id | order_items : order_id = customer_orders : order_id | order_items : product_id = products : product_id
customers_and_addresses
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
What are the name and ID of the product bought the most.
[Schema (values) (types)]: | customers_and_addresses | Addresses : address_id (text) , address_content (number) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | Products : product_id (text) , product_details (number) | Customers : customer_id (text) , payment_method (number) , customer_name (text) , date_became_customer (text) , other_customer_details (text) | Customer_Addresses : customer_id (text) , address_id (number) , date_address_from (text) , address_type (text) , date_address_to (text) | Customer_Contact_Channels : customer_id (text) , channel_code (number) , active_from_date (text) , active_to_date (text) , contact_number (text) | Customer_Orders : order_id (text) , customer_id (number) , order_status (text) , order_date (text) , order_details (text) | Order_Items : order_id (text) , product_id (number) , order_quantity (text);
[Primary Keys]: addresses : address_id, products : product_id, customers : customer_id, customer_addresses : order_id
[Foreign Keys]: customer_addresses : customer_id = customers : customer_id | customer_addresses : address_id = addresses : address_id | customer_contact_channels : customer_id = customers : customer_id | customer_orders : customer_id = customers : customer_id | order_items : order_id = customer_orders : order_id | order_items : product_id = products : product_id
customers_and_addresses
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"
Find all the addresses in East Julianaside, Texas or in Gleasonmouth, Arizona.
[Schema (values) (types)]: | customers_and_addresses | Addresses : address_id (text) , address_content (number) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | Products : product_id (text) , product_details (number) | Customers : customer_id (text) , payment_method (number) , customer_name (text) , date_became_customer (text) , other_customer_details (text) | Customer_Addresses : customer_id (text) , address_id (number) , date_address_from (text) , address_type (text) , date_address_to (text) | Customer_Contact_Channels : customer_id (text) , channel_code (number) , active_from_date (text) , active_to_date (text) , contact_number (text) | Customer_Orders : order_id (text) , customer_id (number) , order_status (text) , order_date (text) , order_details (text) | Order_Items : order_id (text) , product_id (number) , order_quantity (text);
[Primary Keys]: addresses : address_id, products : product_id, customers : customer_id, customer_addresses : order_id
[Foreign Keys]: customer_addresses : customer_id = customers : customer_id | customer_addresses : address_id = addresses : address_id | customer_contact_channels : customer_id = customers : customer_id | customer_orders : customer_id = customers : customer_id | order_items : order_id = customer_orders : order_id | order_items : product_id = products : product_id
customers_and_addresses
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"
What are all the addresses in East Julianaside, Texas or in Gleasonmouth, Arizona.
[Schema (values) (types)]: | customers_and_addresses | Addresses : address_id (text) , address_content (number) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | Products : product_id (text) , product_details (number) | Customers : customer_id (text) , payment_method (number) , customer_name (text) , date_became_customer (text) , other_customer_details (text) | Customer_Addresses : customer_id (text) , address_id (number) , date_address_from (text) , address_type (text) , date_address_to (text) | Customer_Contact_Channels : customer_id (text) , channel_code (number) , active_from_date (text) , active_to_date (text) , contact_number (text) | Customer_Orders : order_id (text) , customer_id (number) , order_status (text) , order_date (text) , order_details (text) | Order_Items : order_id (text) , product_id (number) , order_quantity (text);
[Primary Keys]: addresses : address_id, products : product_id, customers : customer_id, customer_addresses : order_id
[Foreign Keys]: customer_addresses : customer_id = customers : customer_id | customer_addresses : address_id = addresses : address_id | customer_contact_channels : customer_id = customers : customer_id | customer_orders : customer_id = customers : customer_id | order_items : order_id = customer_orders : order_id | order_items : product_id = products : product_id
customers_and_addresses
SELECT customer_name FROM customers WHERE payment_method != 'Cash'
Find the name of customers who did not pay with Cash.
[Schema (values) (types)]: | customers_and_addresses | Addresses : address_id (text) , address_content (number) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | Products : product_id (text) , product_details (number) | Customers : customer_id (text) , payment_method (number) , customer_name (text) , date_became_customer (text) , other_customer_details (text) | Customer_Addresses : customer_id (text) , address_id (number) , date_address_from (text) , address_type (text) , date_address_to (text) | Customer_Contact_Channels : customer_id (text) , channel_code (number) , active_from_date (text) , active_to_date (text) , contact_number (text) | Customer_Orders : order_id (text) , customer_id (number) , order_status (text) , order_date (text) , order_details (text) | Order_Items : order_id (text) , product_id (number) , order_quantity (text);
[Primary Keys]: addresses : address_id, products : product_id, customers : customer_id, customer_addresses : order_id
[Foreign Keys]: customer_addresses : customer_id = customers : customer_id | customer_addresses : address_id = addresses : address_id | customer_contact_channels : customer_id = customers : customer_id | customer_orders : customer_id = customers : customer_id | order_items : order_id = customer_orders : order_id | order_items : product_id = products : product_id
customers_and_addresses
SELECT customer_name FROM customers WHERE payment_method != 'Cash'
What is the name of customers who do not use Cash as payment method.
[Schema (values) (types)]: | customers_and_addresses | Addresses : address_id (text) , address_content (number) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | Products : product_id (text) , product_details (number) | Customers : customer_id (text) , payment_method (number) , customer_name (text) , date_became_customer (text) , other_customer_details (text) | Customer_Addresses : customer_id (text) , address_id (number) , date_address_from (text) , address_type (text) , date_address_to (text) | Customer_Contact_Channels : customer_id (text) , channel_code (number) , active_from_date (text) , active_to_date (text) , contact_number (text) | Customer_Orders : order_id (text) , customer_id (number) , order_status (text) , order_date (text) , order_details (text) | Order_Items : order_id (text) , product_id (number) , order_quantity (text);
[Primary Keys]: addresses : address_id, products : product_id, customers : customer_id, customer_addresses : order_id
[Foreign Keys]: customer_addresses : customer_id = customers : customer_id | customer_addresses : address_id = addresses : address_id | customer_contact_channels : customer_id = customers : customer_id | customer_orders : customer_id = customers : customer_id | order_items : order_id = customer_orders : order_id | order_items : product_id = products : product_id
customers_and_addresses
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'
Find the names of customers who never ordered product Latte.
[Schema (values) (types)]: | customers_and_addresses | Addresses : address_id (text) , address_content (number) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | Products : product_id (text) , product_details (number) | Customers : customer_id (text) , payment_method (number) , customer_name (text) , date_became_customer (text) , other_customer_details (text) | Customer_Addresses : customer_id (text) , address_id (number) , date_address_from (text) , address_type (text) , date_address_to (text) | Customer_Contact_Channels : customer_id (text) , channel_code (number) , active_from_date (text) , active_to_date (text) , contact_number (text) | Customer_Orders : order_id (text) , customer_id (number) , order_status (text) , order_date (text) , order_details (text) | Order_Items : order_id (text) , product_id (number) , order_quantity (text);
[Primary Keys]: addresses : address_id, products : product_id, customers : customer_id, customer_addresses : order_id
[Foreign Keys]: customer_addresses : customer_id = customers : customer_id | customer_addresses : address_id = addresses : address_id | customer_contact_channels : customer_id = customers : customer_id | customer_orders : customer_id = customers : customer_id | order_items : order_id = customer_orders : order_id | order_items : product_id = products : product_id
customers_and_addresses
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'
What are names of customers who never ordered product Latte.
[Schema (values) (types)]: | customers_and_addresses | Addresses : address_id (text) , address_content (number) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | Products : product_id (text) , product_details (number) | Customers : customer_id (text) , payment_method (number) , customer_name (text) , date_became_customer (text) , other_customer_details (text) | Customer_Addresses : customer_id (text) , address_id (number) , date_address_from (text) , address_type (text) , date_address_to (text) | Customer_Contact_Channels : customer_id (text) , channel_code (number) , active_from_date (text) , active_to_date (text) , contact_number (text) | Customer_Orders : order_id (text) , customer_id (number) , order_status (text) , order_date (text) , order_details (text) | Order_Items : order_id (text) , product_id (number) , order_quantity (text);
[Primary Keys]: addresses : address_id, products : product_id, customers : customer_id, customer_addresses : order_id
[Foreign Keys]: customer_addresses : customer_id = customers : customer_id | customer_addresses : address_id = addresses : address_id | customer_contact_channels : customer_id = customers : customer_id | customer_orders : customer_id = customers : customer_id | order_items : order_id = customer_orders : order_id | order_items : product_id = products : product_id
customers_and_addresses
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
Find the names of customers who never placed an order.
[Schema (values) (types)]: | customers_and_addresses | Addresses : address_id (text) , address_content (number) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | Products : product_id (text) , product_details (number) | Customers : customer_id (text) , payment_method (number) , customer_name (text) , date_became_customer (text) , other_customer_details (text) | Customer_Addresses : customer_id (text) , address_id (number) , date_address_from (text) , address_type (text) , date_address_to (text) | Customer_Contact_Channels : customer_id (text) , channel_code (number) , active_from_date (text) , active_to_date (text) , contact_number (text) | Customer_Orders : order_id (text) , customer_id (number) , order_status (text) , order_date (text) , order_details (text) | Order_Items : order_id (text) , product_id (number) , order_quantity (text);
[Primary Keys]: addresses : address_id, products : product_id, customers : customer_id, customer_addresses : order_id
[Foreign Keys]: customer_addresses : customer_id = customers : customer_id | customer_addresses : address_id = addresses : address_id | customer_contact_channels : customer_id = customers : customer_id | customer_orders : customer_id = customers : customer_id | order_items : order_id = customer_orders : order_id | order_items : product_id = products : product_id
customers_and_addresses
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
What are the names of customers who never made an order.
[Schema (values) (types)]: | customers_and_addresses | Addresses : address_id (text) , address_content (number) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | Products : product_id (text) , product_details (number) | Customers : customer_id (text) , payment_method (number) , customer_name (text) , date_became_customer (text) , other_customer_details (text) | Customer_Addresses : customer_id (text) , address_id (number) , date_address_from (text) , address_type (text) , date_address_to (text) | Customer_Contact_Channels : customer_id (text) , channel_code (number) , active_from_date (text) , active_to_date (text) , contact_number (text) | Customer_Orders : order_id (text) , customer_id (number) , order_status (text) , order_date (text) , order_details (text) | Order_Items : order_id (text) , product_id (number) , order_quantity (text);
[Primary Keys]: addresses : address_id, products : product_id, customers : customer_id, customer_addresses : order_id
[Foreign Keys]: customer_addresses : customer_id = customers : customer_id | customer_addresses : address_id = addresses : address_id | customer_contact_channels : customer_id = customers : customer_id | customer_orders : customer_id = customers : customer_id | order_items : order_id = customer_orders : order_id | order_items : product_id = products : product_id
customers_and_addresses
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'
Find the names of customers who ordered both products Latte and Americano.
[Schema (values) (types)]: | customers_and_addresses | Addresses : address_id (text) , address_content (number) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | Products : product_id (text) , product_details (number) | Customers : customer_id (text) , payment_method (number) , customer_name (text) , date_became_customer (text) , other_customer_details (text) | Customer_Addresses : customer_id (text) , address_id (number) , date_address_from (text) , address_type (text) , date_address_to (text) | Customer_Contact_Channels : customer_id (text) , channel_code (number) , active_from_date (text) , active_to_date (text) , contact_number (text) | Customer_Orders : order_id (text) , customer_id (number) , order_status (text) , order_date (text) , order_details (text) | Order_Items : order_id (text) , product_id (number) , order_quantity (text);
[Primary Keys]: addresses : address_id, products : product_id, customers : customer_id, customer_addresses : order_id
[Foreign Keys]: customer_addresses : customer_id = customers : customer_id | customer_addresses : address_id = addresses : address_id | customer_contact_channels : customer_id = customers : customer_id | customer_orders : customer_id = customers : customer_id | order_items : order_id = customer_orders : order_id | order_items : product_id = products : product_id
customers_and_addresses
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'
What are the names of customers who have purchased both products Latte and Americano?
[Schema (values) (types)]: | customers_and_addresses | Addresses : address_id (text) , address_content (number) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | Products : product_id (text) , product_details (number) | Customers : customer_id (text) , payment_method (number) , customer_name (text) , date_became_customer (text) , other_customer_details (text) | Customer_Addresses : customer_id (text) , address_id (number) , date_address_from (text) , address_type (text) , date_address_to (text) | Customer_Contact_Channels : customer_id (text) , channel_code (number) , active_from_date (text) , active_to_date (text) , contact_number (text) | Customer_Orders : order_id (text) , customer_id (number) , order_status (text) , order_date (text) , order_details (text) | Order_Items : order_id (text) , product_id (number) , order_quantity (text);
[Primary Keys]: addresses : address_id, products : product_id, customers : customer_id, customer_addresses : order_id
[Foreign Keys]: customer_addresses : customer_id = customers : customer_id | customer_addresses : address_id = addresses : address_id | customer_contact_channels : customer_id = customers : customer_id | customer_orders : customer_id = customers : customer_id | order_items : order_id = customer_orders : order_id | order_items : product_id = products : product_id
music_4
SELECT count(*) FROM artist
How many artists are there?
[Schema (values) (types)]: | music_4 | artist : artist_id (text) , artist (number) , age (text) , famous_title (number) , famous_release_date (text) | volume : volume_id (text) , volume_issue (number) , issue_date (text) , weeks_on_top (number) , song (text) , artist_id (text) | music_festival : id (text) , music_festival (number) , date_of_ceremony (text) , category (number) , volume (text) , result (text);
[Primary Keys]: artist : artist_id, volume : volume_id, music_festival : id
[Foreign Keys]: volume : artist_id = artist : artist_id | music_festival : volume = volume : volume_id
music_4
SELECT count(*) FROM artist
Count the number of artists.
[Schema (values) (types)]: | music_4 | artist : artist_id (text) , artist (number) , age (text) , famous_title (number) , famous_release_date (text) | volume : volume_id (text) , volume_issue (number) , issue_date (text) , weeks_on_top (number) , song (text) , artist_id (text) | music_festival : id (text) , music_festival (number) , date_of_ceremony (text) , category (number) , volume (text) , result (text);
[Primary Keys]: artist : artist_id, volume : volume_id, music_festival : id
[Foreign Keys]: volume : artist_id = artist : artist_id | music_festival : volume = volume : volume_id
music_4
SELECT Age FROM artist
List the age of all music artists.
[Schema (values) (types)]: | music_4 | artist : artist_id (text) , artist (number) , age (text) , famous_title (number) , famous_release_date (text) | volume : volume_id (text) , volume_issue (number) , issue_date (text) , weeks_on_top (number) , song (text) , artist_id (text) | music_festival : id (text) , music_festival (number) , date_of_ceremony (text) , category (number) , volume (text) , result (text);
[Primary Keys]: artist : artist_id, volume : volume_id, music_festival : id
[Foreign Keys]: volume : artist_id = artist : artist_id | music_festival : volume = volume : volume_id
music_4
SELECT Age FROM artist
What are the ages of all music artists?
[Schema (values) (types)]: | music_4 | artist : artist_id (text) , artist (number) , age (text) , famous_title (number) , famous_release_date (text) | volume : volume_id (text) , volume_issue (number) , issue_date (text) , weeks_on_top (number) , song (text) , artist_id (text) | music_festival : id (text) , music_festival (number) , date_of_ceremony (text) , category (number) , volume (text) , result (text);
[Primary Keys]: artist : artist_id, volume : volume_id, music_festival : id
[Foreign Keys]: volume : artist_id = artist : artist_id | music_festival : volume = volume : volume_id
music_4
SELECT avg(Age) FROM artist
What is the average age of all artists?
[Schema (values) (types)]: | music_4 | artist : artist_id (text) , artist (number) , age (text) , famous_title (number) , famous_release_date (text) | volume : volume_id (text) , volume_issue (number) , issue_date (text) , weeks_on_top (number) , song (text) , artist_id (text) | music_festival : id (text) , music_festival (number) , date_of_ceremony (text) , category (number) , volume (text) , result (text);
[Primary Keys]: artist : artist_id, volume : volume_id, music_festival : id
[Foreign Keys]: volume : artist_id = artist : artist_id | music_festival : volume = volume : volume_id
music_4
SELECT avg(Age) FROM artist
Return the average age across all artists.
[Schema (values) (types)]: | music_4 | artist : artist_id (text) , artist (number) , age (text) , famous_title (number) , famous_release_date (text) | volume : volume_id (text) , volume_issue (number) , issue_date (text) , weeks_on_top (number) , song (text) , artist_id (text) | music_festival : id (text) , music_festival (number) , date_of_ceremony (text) , category (number) , volume (text) , result (text);
[Primary Keys]: artist : artist_id, volume : volume_id, music_festival : id
[Foreign Keys]: volume : artist_id = artist : artist_id | music_festival : volume = volume : volume_id
music_4
SELECT Famous_Title FROM artist WHERE Artist = "Triumfall"
What are the famous titles of the artist "Triumfall"?
[Schema (values) (types)]: | music_4 | artist : artist_id (text) , artist (number) , age (text) , famous_title (number) , famous_release_date (text) | volume : volume_id (text) , volume_issue (number) , issue_date (text) , weeks_on_top (number) , song (text) , artist_id (text) | music_festival : id (text) , music_festival (number) , date_of_ceremony (text) , category (number) , volume (text) , result (text);
[Primary Keys]: artist : artist_id, volume : volume_id, music_festival : id
[Foreign Keys]: volume : artist_id = artist : artist_id | music_festival : volume = volume : volume_id
music_4
SELECT Famous_Title FROM artist WHERE Artist = "Triumfall"
Return the famous titles of the artist called "Triumfall".
[Schema (values) (types)]: | music_4 | artist : artist_id (text) , artist (number) , age (text) , famous_title (number) , famous_release_date (text) | volume : volume_id (text) , volume_issue (number) , issue_date (text) , weeks_on_top (number) , song (text) , artist_id (text) | music_festival : id (text) , music_festival (number) , date_of_ceremony (text) , category (number) , volume (text) , result (text);
[Primary Keys]: artist : artist_id, volume : volume_id, music_festival : id
[Foreign Keys]: volume : artist_id = artist : artist_id | music_festival : volume = volume : volume_id
music_4
SELECT distinct(Famous_Release_date) FROM artist
What are the distinct Famous release dates?
[Schema (values) (types)]: | music_4 | artist : artist_id (text) , artist (number) , age (text) , famous_title (number) , famous_release_date (text) | volume : volume_id (text) , volume_issue (number) , issue_date (text) , weeks_on_top (number) , song (text) , artist_id (text) | music_festival : id (text) , music_festival (number) , date_of_ceremony (text) , category (number) , volume (text) , result (text);
[Primary Keys]: artist : artist_id, volume : volume_id, music_festival : id
[Foreign Keys]: volume : artist_id = artist : artist_id | music_festival : volume = volume : volume_id
music_4
SELECT distinct(Famous_Release_date) FROM artist
Give the distinct famous release dates for all artists.
[Schema (values) (types)]: | music_4 | artist : artist_id (text) , artist (number) , age (text) , famous_title (number) , famous_release_date (text) | volume : volume_id (text) , volume_issue (number) , issue_date (text) , weeks_on_top (number) , song (text) , artist_id (text) | music_festival : id (text) , music_festival (number) , date_of_ceremony (text) , category (number) , volume (text) , result (text);
[Primary Keys]: artist : artist_id, volume : volume_id, music_festival : id
[Foreign Keys]: volume : artist_id = artist : artist_id | music_festival : volume = volume : volume_id
music_4
SELECT Date_of_ceremony , RESULT FROM music_festival
Return the dates of ceremony and the results of all music festivals
[Schema (values) (types)]: | music_4 | artist : artist_id (text) , artist (number) , age (text) , famous_title (number) , famous_release_date (text) | volume : volume_id (text) , volume_issue (number) , issue_date (text) , weeks_on_top (number) , song (text) , artist_id (text) | music_festival : id (text) , music_festival (number) , date_of_ceremony (text) , category (number) , volume (text) , result (text);
[Primary Keys]: artist : artist_id, volume : volume_id, music_festival : id
[Foreign Keys]: volume : artist_id = artist : artist_id | music_festival : volume = volume : volume_id
music_4
SELECT Date_of_ceremony , RESULT FROM music_festival
What are the dates of ceremony and results for each music festival?
[Schema (values) (types)]: | music_4 | artist : artist_id (text) , artist (number) , age (text) , famous_title (number) , famous_release_date (text) | volume : volume_id (text) , volume_issue (number) , issue_date (text) , weeks_on_top (number) , song (text) , artist_id (text) | music_festival : id (text) , music_festival (number) , date_of_ceremony (text) , category (number) , volume (text) , result (text);
[Primary Keys]: artist : artist_id, volume : volume_id, music_festival : id
[Foreign Keys]: volume : artist_id = artist : artist_id | music_festival : volume = volume : volume_id
music_4
SELECT Category FROM music_festival WHERE RESULT = "Awarded"
What are the category of music festivals with result "Awarded"?
[Schema (values) (types)]: | music_4 | artist : artist_id (text) , artist (number) , age (text) , famous_title (number) , famous_release_date (text) | volume : volume_id (text) , volume_issue (number) , issue_date (text) , weeks_on_top (number) , song (text) , artist_id (text) | music_festival : id (text) , music_festival (number) , date_of_ceremony (text) , category (number) , volume (text) , result (text);
[Primary Keys]: artist : artist_id, volume : volume_id, music_festival : id
[Foreign Keys]: volume : artist_id = artist : artist_id | music_festival : volume = volume : volume_id
music_4
SELECT Category FROM music_festival WHERE RESULT = "Awarded"
Return the categories of music festivals that have the result "Awarded".
[Schema (values) (types)]: | music_4 | artist : artist_id (text) , artist (number) , age (text) , famous_title (number) , famous_release_date (text) | volume : volume_id (text) , volume_issue (number) , issue_date (text) , weeks_on_top (number) , song (text) , artist_id (text) | music_festival : id (text) , music_festival (number) , date_of_ceremony (text) , category (number) , volume (text) , result (text);
[Primary Keys]: artist : artist_id, volume : volume_id, music_festival : id
[Foreign Keys]: volume : artist_id = artist : artist_id | music_festival : volume = volume : volume_id
music_4
SELECT max(Weeks_on_Top) , min(Weeks_on_Top) FROM volume
What are the maximum and minimum week on top of all volumes?
[Schema (values) (types)]: | music_4 | artist : artist_id (text) , artist (number) , age (text) , famous_title (number) , famous_release_date (text) | volume : volume_id (text) , volume_issue (number) , issue_date (text) , weeks_on_top (number) , song (text) , artist_id (text) | music_festival : id (text) , music_festival (number) , date_of_ceremony (text) , category (number) , volume (text) , result (text);
[Primary Keys]: artist : artist_id, volume : volume_id, music_festival : id
[Foreign Keys]: volume : artist_id = artist : artist_id | music_festival : volume = volume : volume_id
music_4
SELECT max(Weeks_on_Top) , min(Weeks_on_Top) FROM volume
Give the maximum and minimum weeks on top across all volumes.
[Schema (values) (types)]: | music_4 | artist : artist_id (text) , artist (number) , age (text) , famous_title (number) , famous_release_date (text) | volume : volume_id (text) , volume_issue (number) , issue_date (text) , weeks_on_top (number) , song (text) , artist_id (text) | music_festival : id (text) , music_festival (number) , date_of_ceremony (text) , category (number) , volume (text) , result (text);
[Primary Keys]: artist : artist_id, volume : volume_id, music_festival : id
[Foreign Keys]: volume : artist_id = artist : artist_id | music_festival : volume = volume : volume_id
music_4
SELECT Song FROM volume WHERE Weeks_on_Top > 1
What are the songs in volumes with more than 1 week on top?
[Schema (values) (types)]: | music_4 | artist : artist_id (text) , artist (number) , age (text) , famous_title (number) , famous_release_date (text) | volume : volume_id (text) , volume_issue (number) , issue_date (text) , weeks_on_top (number) , song (text) , artist_id (text) | music_festival : id (text) , music_festival (number) , date_of_ceremony (text) , category (number) , volume (text) , result (text);
[Primary Keys]: artist : artist_id, volume : volume_id, music_festival : id
[Foreign Keys]: volume : artist_id = artist : artist_id | music_festival : volume = volume : volume_id
music_4
SELECT Song FROM volume WHERE Weeks_on_Top > 1
Give the songs included in volumes that have more than 1 week on top.
[Schema (values) (types)]: | music_4 | artist : artist_id (text) , artist (number) , age (text) , famous_title (number) , famous_release_date (text) | volume : volume_id (text) , volume_issue (number) , issue_date (text) , weeks_on_top (number) , song (text) , artist_id (text) | music_festival : id (text) , music_festival (number) , date_of_ceremony (text) , category (number) , volume (text) , result (text);
[Primary Keys]: artist : artist_id, volume : volume_id, music_festival : id
[Foreign Keys]: volume : artist_id = artist : artist_id | music_festival : volume = volume : volume_id
music_4
SELECT Song FROM volume ORDER BY Song
Please list all songs in volumes in ascending alphabetical order.
[Schema (values) (types)]: | music_4 | artist : artist_id (text) , artist (number) , age (text) , famous_title (number) , famous_release_date (text) | volume : volume_id (text) , volume_issue (number) , issue_date (text) , weeks_on_top (number) , song (text) , artist_id (text) | music_festival : id (text) , music_festival (number) , date_of_ceremony (text) , category (number) , volume (text) , result (text);
[Primary Keys]: artist : artist_id, volume : volume_id, music_festival : id
[Foreign Keys]: volume : artist_id = artist : artist_id | music_festival : volume = volume : volume_id
music_4
SELECT Song FROM volume ORDER BY Song
What are the the songs in volumes, listed in ascending order?
[Schema (values) (types)]: | music_4 | artist : artist_id (text) , artist (number) , age (text) , famous_title (number) , famous_release_date (text) | volume : volume_id (text) , volume_issue (number) , issue_date (text) , weeks_on_top (number) , song (text) , artist_id (text) | music_festival : id (text) , music_festival (number) , date_of_ceremony (text) , category (number) , volume (text) , result (text);
[Primary Keys]: artist : artist_id, volume : volume_id, music_festival : id
[Foreign Keys]: volume : artist_id = artist : artist_id | music_festival : volume = volume : volume_id
music_4
SELECT COUNT(DISTINCT Artist_ID) FROM volume
How many distinct artists do the volumes associate to?
[Schema (values) (types)]: | music_4 | artist : artist_id (text) , artist (number) , age (text) , famous_title (number) , famous_release_date (text) | volume : volume_id (text) , volume_issue (number) , issue_date (text) , weeks_on_top (number) , song (text) , artist_id (text) | music_festival : id (text) , music_festival (number) , date_of_ceremony (text) , category (number) , volume (text) , result (text);
[Primary Keys]: artist : artist_id, volume : volume_id, music_festival : id
[Foreign Keys]: volume : artist_id = artist : artist_id | music_festival : volume = volume : volume_id
music_4
SELECT COUNT(DISTINCT Artist_ID) FROM volume
Count the number of distinct artists who have volumes.
[Schema (values) (types)]: | music_4 | artist : artist_id (text) , artist (number) , age (text) , famous_title (number) , famous_release_date (text) | volume : volume_id (text) , volume_issue (number) , issue_date (text) , weeks_on_top (number) , song (text) , artist_id (text) | music_festival : id (text) , music_festival (number) , date_of_ceremony (text) , category (number) , volume (text) , result (text);
[Primary Keys]: artist : artist_id, volume : volume_id, music_festival : id
[Foreign Keys]: volume : artist_id = artist : artist_id | music_festival : volume = volume : volume_id
music_4
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
Please show the date of ceremony of the volumes that last more than 2 weeks on top.
[Schema (values) (types)]: | music_4 | artist : artist_id (text) , artist (number) , age (text) , famous_title (number) , famous_release_date (text) | volume : volume_id (text) , volume_issue (number) , issue_date (text) , weeks_on_top (number) , song (text) , artist_id (text) | music_festival : id (text) , music_festival (number) , date_of_ceremony (text) , category (number) , volume (text) , result (text);
[Primary Keys]: artist : artist_id, volume : volume_id, music_festival : id
[Foreign Keys]: volume : artist_id = artist : artist_id | music_festival : volume = volume : volume_id
music_4
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
What are the dates of ceremony at music festivals corresponding to volumes that lasted more than 2 weeks on top?
[Schema (values) (types)]: | music_4 | artist : artist_id (text) , artist (number) , age (text) , famous_title (number) , famous_release_date (text) | volume : volume_id (text) , volume_issue (number) , issue_date (text) , weeks_on_top (number) , song (text) , artist_id (text) | music_festival : id (text) , music_festival (number) , date_of_ceremony (text) , category (number) , volume (text) , result (text);
[Primary Keys]: artist : artist_id, volume : volume_id, music_festival : id
[Foreign Keys]: volume : artist_id = artist : artist_id | music_festival : volume = volume : volume_id
music_4
SELECT T2.Song FROM music_festival AS T1 JOIN volume AS T2 ON T1.Volume = T2.Volume_ID WHERE T1.Result = "Nominated"
Please show the songs that have result "nominated" at music festivals.
[Schema (values) (types)]: | music_4 | artist : artist_id (text) , artist (number) , age (text) , famous_title (number) , famous_release_date (text) | volume : volume_id (text) , volume_issue (number) , issue_date (text) , weeks_on_top (number) , song (text) , artist_id (text) | music_festival : id (text) , music_festival (number) , date_of_ceremony (text) , category (number) , volume (text) , result (text);
[Primary Keys]: artist : artist_id, volume : volume_id, music_festival : id
[Foreign Keys]: volume : artist_id = artist : artist_id | music_festival : volume = volume : volume_id
music_4
SELECT T2.Song FROM music_festival AS T1 JOIN volume AS T2 ON T1.Volume = T2.Volume_ID WHERE T1.Result = "Nominated"
What are the songs in volumes that have resulted in a nomination at music festivals?
[Schema (values) (types)]: | music_4 | artist : artist_id (text) , artist (number) , age (text) , famous_title (number) , famous_release_date (text) | volume : volume_id (text) , volume_issue (number) , issue_date (text) , weeks_on_top (number) , song (text) , artist_id (text) | music_festival : id (text) , music_festival (number) , date_of_ceremony (text) , category (number) , volume (text) , result (text);
[Primary Keys]: artist : artist_id, volume : volume_id, music_festival : id
[Foreign Keys]: volume : artist_id = artist : artist_id | music_festival : volume = volume : volume_id
music_4
SELECT T2.Issue_Date FROM artist AS T1 JOIN volume AS T2 ON T1.Artist_ID = T2.Artist_ID WHERE T1.Artist = "Gorgoroth"
What are the issue dates of volumes associated with the artist "Gorgoroth"?
[Schema (values) (types)]: | music_4 | artist : artist_id (text) , artist (number) , age (text) , famous_title (number) , famous_release_date (text) | volume : volume_id (text) , volume_issue (number) , issue_date (text) , weeks_on_top (number) , song (text) , artist_id (text) | music_festival : id (text) , music_festival (number) , date_of_ceremony (text) , category (number) , volume (text) , result (text);
[Primary Keys]: artist : artist_id, volume : volume_id, music_festival : id
[Foreign Keys]: volume : artist_id = artist : artist_id | music_festival : volume = volume : volume_id
music_4
SELECT T2.Issue_Date FROM artist AS T1 JOIN volume AS T2 ON T1.Artist_ID = T2.Artist_ID WHERE T1.Artist = "Gorgoroth"
Return the issue dates of volumes that are by the artist named Gorgoroth.
[Schema (values) (types)]: | music_4 | artist : artist_id (text) , artist (number) , age (text) , famous_title (number) , famous_release_date (text) | volume : volume_id (text) , volume_issue (number) , issue_date (text) , weeks_on_top (number) , song (text) , artist_id (text) | music_festival : id (text) , music_festival (number) , date_of_ceremony (text) , category (number) , volume (text) , result (text);
[Primary Keys]: artist : artist_id, volume : volume_id, music_festival : id
[Foreign Keys]: volume : artist_id = artist : artist_id | music_festival : volume = volume : volume_id
music_4
SELECT T2.Song FROM artist AS T1 JOIN volume AS T2 ON T1.Artist_ID = T2.Artist_ID WHERE T1.age >= 32
What are the songs in volumes associated with the artist aged 32 or older?
[Schema (values) (types)]: | music_4 | artist : artist_id (text) , artist (number) , age (text) , famous_title (number) , famous_release_date (text) | volume : volume_id (text) , volume_issue (number) , issue_date (text) , weeks_on_top (number) , song (text) , artist_id (text) | music_festival : id (text) , music_festival (number) , date_of_ceremony (text) , category (number) , volume (text) , result (text);
[Primary Keys]: artist : artist_id, volume : volume_id, music_festival : id
[Foreign Keys]: volume : artist_id = artist : artist_id | music_festival : volume = volume : volume_id
music_4
SELECT T2.Song FROM artist AS T1 JOIN volume AS T2 ON T1.Artist_ID = T2.Artist_ID WHERE T1.age >= 32
Return names of songs in volumes that are by artists that are at least 32 years old.
[Schema (values) (types)]: | music_4 | artist : artist_id (text) , artist (number) , age (text) , famous_title (number) , famous_release_date (text) | volume : volume_id (text) , volume_issue (number) , issue_date (text) , weeks_on_top (number) , song (text) , artist_id (text) | music_festival : id (text) , music_festival (number) , date_of_ceremony (text) , category (number) , volume (text) , result (text);
[Primary Keys]: artist : artist_id, volume : volume_id, music_festival : id
[Foreign Keys]: volume : artist_id = artist : artist_id | music_festival : volume = volume : volume_id
music_4
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
What is the average weeks on top of volumes associated with the artist aged 25 or younger?
[Schema (values) (types)]: | music_4 | artist : artist_id (text) , artist (number) , age (text) , famous_title (number) , famous_release_date (text) | volume : volume_id (text) , volume_issue (number) , issue_date (text) , weeks_on_top (number) , song (text) , artist_id (text) | music_festival : id (text) , music_festival (number) , date_of_ceremony (text) , category (number) , volume (text) , result (text);
[Primary Keys]: artist : artist_id, volume : volume_id, music_festival : id
[Foreign Keys]: volume : artist_id = artist : artist_id | music_festival : volume = volume : volume_id
music_4
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
Return the average number of weeks on top for volumes by artists that are at most 25 years old.
[Schema (values) (types)]: | music_4 | artist : artist_id (text) , artist (number) , age (text) , famous_title (number) , famous_release_date (text) | volume : volume_id (text) , volume_issue (number) , issue_date (text) , weeks_on_top (number) , song (text) , artist_id (text) | music_festival : id (text) , music_festival (number) , date_of_ceremony (text) , category (number) , volume (text) , result (text);
[Primary Keys]: artist : artist_id, volume : volume_id, music_festival : id
[Foreign Keys]: volume : artist_id = artist : artist_id | music_festival : volume = volume : volume_id
music_4
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
What are the famous title of the artists associated with volumes with more than 2 weeks on top?
[Schema (values) (types)]: | music_4 | artist : artist_id (text) , artist (number) , age (text) , famous_title (number) , famous_release_date (text) | volume : volume_id (text) , volume_issue (number) , issue_date (text) , weeks_on_top (number) , song (text) , artist_id (text) | music_festival : id (text) , music_festival (number) , date_of_ceremony (text) , category (number) , volume (text) , result (text);
[Primary Keys]: artist : artist_id, volume : volume_id, music_festival : id
[Foreign Keys]: volume : artist_id = artist : artist_id | music_festival : volume = volume : volume_id
music_4
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
Return the famous titles for artists that have volumes that lasted more than 2 weeks on top.
[Schema (values) (types)]: | music_4 | artist : artist_id (text) , artist (number) , age (text) , famous_title (number) , famous_release_date (text) | volume : volume_id (text) , volume_issue (number) , issue_date (text) , weeks_on_top (number) , song (text) , artist_id (text) | music_festival : id (text) , music_festival (number) , date_of_ceremony (text) , category (number) , volume (text) , result (text);
[Primary Keys]: artist : artist_id, volume : volume_id, music_festival : id
[Foreign Keys]: volume : artist_id = artist : artist_id | music_festival : volume = volume : volume_id
music_4
SELECT Famous_Title , Age FROM artist ORDER BY Age DESC
Please list the age and famous title of artists in descending order of age.
[Schema (values) (types)]: | music_4 | artist : artist_id (text) , artist (number) , age (text) , famous_title (number) , famous_release_date (text) | volume : volume_id (text) , volume_issue (number) , issue_date (text) , weeks_on_top (number) , song (text) , artist_id (text) | music_festival : id (text) , music_festival (number) , date_of_ceremony (text) , category (number) , volume (text) , result (text);
[Primary Keys]: artist : artist_id, volume : volume_id, music_festival : id
[Foreign Keys]: volume : artist_id = artist : artist_id | music_festival : volume = volume : volume_id
music_4
SELECT Famous_Title , Age FROM artist ORDER BY Age DESC
What are the famous titles and ages of each artist, listed in descending order by age?
[Schema (values) (types)]: | music_4 | artist : artist_id (text) , artist (number) , age (text) , famous_title (number) , famous_release_date (text) | volume : volume_id (text) , volume_issue (number) , issue_date (text) , weeks_on_top (number) , song (text) , artist_id (text) | music_festival : id (text) , music_festival (number) , date_of_ceremony (text) , category (number) , volume (text) , result (text);
[Primary Keys]: artist : artist_id, volume : volume_id, music_festival : id
[Foreign Keys]: volume : artist_id = artist : artist_id | music_festival : volume = volume : volume_id
music_4
SELECT Famous_Release_date FROM artist ORDER BY Age DESC LIMIT 1
What is the famous release date of the artist with the oldest age?
[Schema (values) (types)]: | music_4 | artist : artist_id (text) , artist (number) , age (text) , famous_title (number) , famous_release_date (text) | volume : volume_id (text) , volume_issue (number) , issue_date (text) , weeks_on_top (number) , song (text) , artist_id (text) | music_festival : id (text) , music_festival (number) , date_of_ceremony (text) , category (number) , volume (text) , result (text);
[Primary Keys]: artist : artist_id, volume : volume_id, music_festival : id
[Foreign Keys]: volume : artist_id = artist : artist_id | music_festival : volume = volume : volume_id
music_4
SELECT Famous_Release_date FROM artist ORDER BY Age DESC LIMIT 1
Return the famous release date for the oldest artist.
[Schema (values) (types)]: | music_4 | artist : artist_id (text) , artist (number) , age (text) , famous_title (number) , famous_release_date (text) | volume : volume_id (text) , volume_issue (number) , issue_date (text) , weeks_on_top (number) , song (text) , artist_id (text) | music_festival : id (text) , music_festival (number) , date_of_ceremony (text) , category (number) , volume (text) , result (text);
[Primary Keys]: artist : artist_id, volume : volume_id, music_festival : id
[Foreign Keys]: volume : artist_id = artist : artist_id | music_festival : volume = volume : volume_id
music_4
SELECT Category , COUNT(*) FROM music_festival GROUP BY Category
Please show the categories of the music festivals and the count.
[Schema (values) (types)]: | music_4 | artist : artist_id (text) , artist (number) , age (text) , famous_title (number) , famous_release_date (text) | volume : volume_id (text) , volume_issue (number) , issue_date (text) , weeks_on_top (number) , song (text) , artist_id (text) | music_festival : id (text) , music_festival (number) , date_of_ceremony (text) , category (number) , volume (text) , result (text);
[Primary Keys]: artist : artist_id, volume : volume_id, music_festival : id
[Foreign Keys]: volume : artist_id = artist : artist_id | music_festival : volume = volume : volume_id
music_4
SELECT Category , COUNT(*) FROM music_festival GROUP BY Category
Return the number of music festivals of each category.
[Schema (values) (types)]: | music_4 | artist : artist_id (text) , artist (number) , age (text) , famous_title (number) , famous_release_date (text) | volume : volume_id (text) , volume_issue (number) , issue_date (text) , weeks_on_top (number) , song (text) , artist_id (text) | music_festival : id (text) , music_festival (number) , date_of_ceremony (text) , category (number) , volume (text) , result (text);
[Primary Keys]: artist : artist_id, volume : volume_id, music_festival : id
[Foreign Keys]: volume : artist_id = artist : artist_id | music_festival : volume = volume : volume_id
music_4
SELECT RESULT FROM music_festival GROUP BY RESULT ORDER BY COUNT(*) DESC LIMIT 1
What is the most common result of the music festival?
[Schema (values) (types)]: | music_4 | artist : artist_id (text) , artist (number) , age (text) , famous_title (number) , famous_release_date (text) | volume : volume_id (text) , volume_issue (number) , issue_date (text) , weeks_on_top (number) , song (text) , artist_id (text) | music_festival : id (text) , music_festival (number) , date_of_ceremony (text) , category (number) , volume (text) , result (text);
[Primary Keys]: artist : artist_id, volume : volume_id, music_festival : id
[Foreign Keys]: volume : artist_id = artist : artist_id | music_festival : volume = volume : volume_id
music_4
SELECT RESULT FROM music_festival GROUP BY RESULT ORDER BY COUNT(*) DESC LIMIT 1
Return the result that is most frequent at music festivals.
[Schema (values) (types)]: | music_4 | artist : artist_id (text) , artist (number) , age (text) , famous_title (number) , famous_release_date (text) | volume : volume_id (text) , volume_issue (number) , issue_date (text) , weeks_on_top (number) , song (text) , artist_id (text) | music_festival : id (text) , music_festival (number) , date_of_ceremony (text) , category (number) , volume (text) , result (text);
[Primary Keys]: artist : artist_id, volume : volume_id, music_festival : id
[Foreign Keys]: volume : artist_id = artist : artist_id | music_festival : volume = volume : volume_id
music_4
SELECT Category FROM music_festival GROUP BY Category HAVING COUNT(*) > 1
Please show the categories of the music festivals with count more than 1.
[Schema (values) (types)]: | music_4 | artist : artist_id (text) , artist (number) , age (text) , famous_title (number) , famous_release_date (text) | volume : volume_id (text) , volume_issue (number) , issue_date (text) , weeks_on_top (number) , song (text) , artist_id (text) | music_festival : id (text) , music_festival (number) , date_of_ceremony (text) , category (number) , volume (text) , result (text);
[Primary Keys]: artist : artist_id, volume : volume_id, music_festival : id
[Foreign Keys]: volume : artist_id = artist : artist_id | music_festival : volume = volume : volume_id
music_4
SELECT Category FROM music_festival GROUP BY Category HAVING COUNT(*) > 1
What are the categories of music festivals for which there have been more than 1 music festival?
[Schema (values) (types)]: | music_4 | artist : artist_id (text) , artist (number) , age (text) , famous_title (number) , famous_release_date (text) | volume : volume_id (text) , volume_issue (number) , issue_date (text) , weeks_on_top (number) , song (text) , artist_id (text) | music_festival : id (text) , music_festival (number) , date_of_ceremony (text) , category (number) , volume (text) , result (text);
[Primary Keys]: artist : artist_id, volume : volume_id, music_festival : id
[Foreign Keys]: volume : artist_id = artist : artist_id | music_festival : volume = volume : volume_id
music_4
SELECT Song FROM volume ORDER BY Weeks_on_Top DESC LIMIT 1
What is the song in the volume with the maximum weeks on top?
[Schema (values) (types)]: | music_4 | artist : artist_id (text) , artist (number) , age (text) , famous_title (number) , famous_release_date (text) | volume : volume_id (text) , volume_issue (number) , issue_date (text) , weeks_on_top (number) , song (text) , artist_id (text) | music_festival : id (text) , music_festival (number) , date_of_ceremony (text) , category (number) , volume (text) , result (text);
[Primary Keys]: artist : artist_id, volume : volume_id, music_festival : id
[Foreign Keys]: volume : artist_id = artist : artist_id | music_festival : volume = volume : volume_id
music_4
SELECT Song FROM volume ORDER BY Weeks_on_Top DESC LIMIT 1
Return the song in the volume that has spent the most weeks on top?
[Schema (values) (types)]: | music_4 | artist : artist_id (text) , artist (number) , age (text) , famous_title (number) , famous_release_date (text) | volume : volume_id (text) , volume_issue (number) , issue_date (text) , weeks_on_top (number) , song (text) , artist_id (text) | music_festival : id (text) , music_festival (number) , date_of_ceremony (text) , category (number) , volume (text) , result (text);
[Primary Keys]: artist : artist_id, volume : volume_id, music_festival : id
[Foreign Keys]: volume : artist_id = artist : artist_id | music_festival : volume = volume : volume_id
music_4
SELECT Famous_Title FROM artist WHERE Artist_ID NOT IN(SELECT Artist_ID FROM volume)
Find the famous titles of artists that do not have any volume.
[Schema (values) (types)]: | music_4 | artist : artist_id (text) , artist (number) , age (text) , famous_title (number) , famous_release_date (text) | volume : volume_id (text) , volume_issue (number) , issue_date (text) , weeks_on_top (number) , song (text) , artist_id (text) | music_festival : id (text) , music_festival (number) , date_of_ceremony (text) , category (number) , volume (text) , result (text);
[Primary Keys]: artist : artist_id, volume : volume_id, music_festival : id
[Foreign Keys]: volume : artist_id = artist : artist_id | music_festival : volume = volume : volume_id
music_4
SELECT Famous_Title FROM artist WHERE Artist_ID NOT IN(SELECT Artist_ID FROM volume)
What are the famous titles of artists who do not have any volumes?
[Schema (values) (types)]: | music_4 | artist : artist_id (text) , artist (number) , age (text) , famous_title (number) , famous_release_date (text) | volume : volume_id (text) , volume_issue (number) , issue_date (text) , weeks_on_top (number) , song (text) , artist_id (text) | music_festival : id (text) , music_festival (number) , date_of_ceremony (text) , category (number) , volume (text) , result (text);
[Primary Keys]: artist : artist_id, volume : volume_id, music_festival : id
[Foreign Keys]: volume : artist_id = artist : artist_id | music_festival : volume = volume : volume_id
music_4
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
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.
[Schema (values) (types)]: | music_4 | artist : artist_id (text) , artist (number) , age (text) , famous_title (number) , famous_release_date (text) | volume : volume_id (text) , volume_issue (number) , issue_date (text) , weeks_on_top (number) , song (text) , artist_id (text) | music_festival : id (text) , music_festival (number) , date_of_ceremony (text) , category (number) , volume (text) , result (text);
[Primary Keys]: artist : artist_id, volume : volume_id, music_festival : id
[Foreign Keys]: volume : artist_id = artist : artist_id | music_festival : volume = volume : volume_id
music_4
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
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?
[Schema (values) (types)]: | music_4 | artist : artist_id (text) , artist (number) , age (text) , famous_title (number) , famous_release_date (text) | volume : volume_id (text) , volume_issue (number) , issue_date (text) , weeks_on_top (number) , song (text) , artist_id (text) | music_festival : id (text) , music_festival (number) , date_of_ceremony (text) , category (number) , volume (text) , result (text);
[Primary Keys]: artist : artist_id, volume : volume_id, music_festival : id
[Foreign Keys]: volume : artist_id = artist : artist_id | music_festival : volume = volume : volume_id
music_4
SELECT Date_of_ceremony FROM music_festival WHERE Category = "Best Song" AND RESULT = "Awarded"
What are the date of ceremony of music festivals with category "Best Song" and result "Awarded"?
[Schema (values) (types)]: | music_4 | artist : artist_id (text) , artist (number) , age (text) , famous_title (number) , famous_release_date (text) | volume : volume_id (text) , volume_issue (number) , issue_date (text) , weeks_on_top (number) , song (text) , artist_id (text) | music_festival : id (text) , music_festival (number) , date_of_ceremony (text) , category (number) , volume (text) , result (text);
[Primary Keys]: artist : artist_id, volume : volume_id, music_festival : id
[Foreign Keys]: volume : artist_id = artist : artist_id | music_festival : volume = volume : volume_id
music_4
SELECT Date_of_ceremony FROM music_festival WHERE Category = "Best Song" AND RESULT = "Awarded"
Return the dates of ceremony corresponding to music festivals that had the category "Best Song" and result "Awarded".
[Schema (values) (types)]: | music_4 | artist : artist_id (text) , artist (number) , age (text) , famous_title (number) , famous_release_date (text) | volume : volume_id (text) , volume_issue (number) , issue_date (text) , weeks_on_top (number) , song (text) , artist_id (text) | music_festival : id (text) , music_festival (number) , date_of_ceremony (text) , category (number) , volume (text) , result (text);
[Primary Keys]: artist : artist_id, volume : volume_id, music_festival : id
[Foreign Keys]: volume : artist_id = artist : artist_id | music_festival : volume = volume : volume_id
music_4
SELECT Issue_Date FROM volume ORDER BY Weeks_on_Top ASC LIMIT 1
What is the issue date of the volume with the minimum weeks on top?
[Schema (values) (types)]: | music_4 | artist : artist_id (text) , artist (number) , age (text) , famous_title (number) , famous_release_date (text) | volume : volume_id (text) , volume_issue (number) , issue_date (text) , weeks_on_top (number) , song (text) , artist_id (text) | music_festival : id (text) , music_festival (number) , date_of_ceremony (text) , category (number) , volume (text) , result (text);
[Primary Keys]: artist : artist_id, volume : volume_id, music_festival : id
[Foreign Keys]: volume : artist_id = artist : artist_id | music_festival : volume = volume : volume_id
music_4
SELECT Issue_Date FROM volume ORDER BY Weeks_on_Top ASC LIMIT 1
Return the issue date of the volume that has spent the fewest weeks on top.
[Schema (values) (types)]: | music_4 | artist : artist_id (text) , artist (number) , age (text) , famous_title (number) , famous_release_date (text) | volume : volume_id (text) , volume_issue (number) , issue_date (text) , weeks_on_top (number) , song (text) , artist_id (text) | music_festival : id (text) , music_festival (number) , date_of_ceremony (text) , category (number) , volume (text) , result (text);
[Primary Keys]: artist : artist_id, volume : volume_id, music_festival : id
[Foreign Keys]: volume : artist_id = artist : artist_id | music_festival : volume = volume : volume_id
music_4
SELECT COUNT(DISTINCT Artist_ID) FROM volume
How many distinct artists have volumes?
[Schema (values) (types)]: | music_4 | artist : artist_id (text) , artist (number) , age (text) , famous_title (number) , famous_release_date (text) | volume : volume_id (text) , volume_issue (number) , issue_date (text) , weeks_on_top (number) , song (text) , artist_id (text) | music_festival : id (text) , music_festival (number) , date_of_ceremony (text) , category (number) , volume (text) , result (text);
[Primary Keys]: artist : artist_id, volume : volume_id, music_festival : id
[Foreign Keys]: volume : artist_id = artist : artist_id | music_festival : volume = volume : volume_id
music_4
SELECT COUNT(DISTINCT Artist_ID) FROM volume
Count the number of artists who have had volumes.
[Schema (values) (types)]: | music_4 | artist : artist_id (text) , artist (number) , age (text) , famous_title (number) , famous_release_date (text) | volume : volume_id (text) , volume_issue (number) , issue_date (text) , weeks_on_top (number) , song (text) , artist_id (text) | music_festival : id (text) , music_festival (number) , date_of_ceremony (text) , category (number) , volume (text) , result (text);
[Primary Keys]: artist : artist_id, volume : volume_id, music_festival : id
[Foreign Keys]: volume : artist_id = artist : artist_id | music_festival : volume = volume : volume_id
music_4
SELECT RESULT , COUNT(*) FROM music_festival GROUP BY RESULT ORDER BY COUNT(*) DESC
Please show the results of music festivals and the number of music festivals that have had each, ordered by this count.
[Schema (values) (types)]: | music_4 | artist : artist_id (text) , artist (number) , age (text) , famous_title (number) , famous_release_date (text) | volume : volume_id (text) , volume_issue (number) , issue_date (text) , weeks_on_top (number) , song (text) , artist_id (text) | music_festival : id (text) , music_festival (number) , date_of_ceremony (text) , category (number) , volume (text) , result (text);
[Primary Keys]: artist : artist_id, volume : volume_id, music_festival : id
[Foreign Keys]: volume : artist_id = artist : artist_id | music_festival : volume = volume : volume_id