brief_instruction stringlengths 16 224 | instruction stringlengths 687 8.77k | output stringlengths 18 577 |
|---|---|---|
Return the the "active to date" of the latest contact channel used by the customer named "Tillman Ernser". |
-- Language PostgreSQL
-- Tables:
-- Table: addresses
columns : [['address id', 'number'], ['address content', 'text'], ['city', 'text'], ['zip postcode', 'text'], ['state province county', 'text'], ['country', 'text'], ['other address details', 'text']]
-- Table: products
columns : [... | 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" |
What is the average time span of contact channels in the database? |
-- Language PostgreSQL
-- Tables:
-- Table: addresses
columns : [['address id', 'number'], ['address content', 'text'], ['city', 'text'], ['zip postcode', 'text'], ['state province county', 'text'], ['country', 'text'], ['other address details', 'text']]
-- Table: products
columns : [... | SELECT avg(active_to_date - active_from_date) FROM customer_contact_channels |
Compute the average active time span of contact channels. |
-- Language PostgreSQL
-- Tables:
-- Table: addresses
columns : [['address id', 'number'], ['address content', 'text'], ['city', 'text'], ['zip postcode', 'text'], ['state province county', 'text'], ['country', 'text'], ['other address details', 'text']]
-- Table: products
columns : [... | SELECT avg(active_to_date - active_from_date) FROM customer_contact_channels |
What is the channel code and contact number of the customer contact channel that was active for the longest time? |
-- Language PostgreSQL
-- Tables:
-- Table: addresses
columns : [['address id', 'number'], ['address content', 'text'], ['city', 'text'], ['zip postcode', 'text'], ['state province county', 'text'], ['country', 'text'], ['other address details', 'text']]
-- Table: products
columns : [... | 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. |
-- Language PostgreSQL
-- Tables:
-- Table: addresses
columns : [['address id', 'number'], ['address content', 'text'], ['city', 'text'], ['zip postcode', 'text'], ['state province county', 'text'], ['country', 'text'], ['other address details', 'text']]
-- Table: products
columns : [... | 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) |
Find the name and active date of the customer that use email as the contact channel. |
-- Language PostgreSQL
-- Tables:
-- Table: addresses
columns : [['address id', 'number'], ['address content', 'text'], ['city', 'text'], ['zip postcode', 'text'], ['state province county', 'text'], ['country', 'text'], ['other address details', 'text']]
-- Table: products
columns : [... | 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? |
-- Language PostgreSQL
-- Tables:
-- Table: addresses
columns : [['address id', 'number'], ['address content', 'text'], ['city', 'text'], ['zip postcode', 'text'], ['state province county', 'text'], ['country', 'text'], ['other address details', 'text']]
-- Table: products
columns : [... | 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 is the name of the customer that made the order with the largest quantity? |
-- Language PostgreSQL
-- Tables:
-- Table: addresses
columns : [['address id', 'number'], ['address content', 'text'], ['city', 'text'], ['zip postcode', 'text'], ['state province county', 'text'], ['country', 'text'], ['other address details', 'text']]
-- Table: products
columns : [... | 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. |
-- Language PostgreSQL
-- Tables:
-- Table: addresses
columns : [['address id', 'number'], ['address content', 'text'], ['city', 'text'], ['zip postcode', 'text'], ['state province county', 'text'], ['country', 'text'], ['other address details', 'text']]
-- Table: products
columns : [... | 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 has purchased the most items? |
-- Language PostgreSQL
-- Tables:
-- Table: addresses
columns : [['address id', 'number'], ['address content', 'text'], ['city', 'text'], ['zip postcode', 'text'], ['state province county', 'text'], ['country', 'text'], ['other address details', 'text']]
-- Table: products
columns : [... | 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. |
-- Language PostgreSQL
-- Tables:
-- Table: addresses
columns : [['address id', 'number'], ['address content', 'text'], ['city', 'text'], ['zip postcode', 'text'], ['state province county', 'text'], ['country', 'text'], ['other address details', 'text']]
-- Table: products
columns : [... | 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 payment method of the customer that has purchased the least quantity of items? |
-- Language PostgreSQL
-- Tables:
-- Table: addresses
columns : [['address id', 'number'], ['address content', 'text'], ['city', 'text'], ['zip postcode', 'text'], ['state province county', 'text'], ['country', 'text'], ['other address details', 'text']]
-- Table: products
columns : [... | 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. |
-- Language PostgreSQL
-- Tables:
-- Table: addresses
columns : [['address id', 'number'], ['address content', 'text'], ['city', 'text'], ['zip postcode', 'text'], ['state province county', 'text'], ['country', 'text'], ['other address details', 'text']]
-- Table: products
columns : [... | 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 |
How many types of products have Rodrick Heaney bought in total? |
-- Language PostgreSQL
-- Tables:
-- Table: addresses
columns : [['address id', 'number'], ['address content', 'text'], ['city', 'text'], ['zip postcode', 'text'], ['state province county', 'text'], ['country', 'text'], ['other address details', 'text']]
-- Table: products
columns : [... | 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. |
-- Language PostgreSQL
-- Tables:
-- Table: addresses
columns : [['address id', 'number'], ['address content', 'text'], ['city', 'text'], ['zip postcode', 'text'], ['state province county', 'text'], ['country', 'text'], ['other address details', 'text']]
-- Table: products
columns : [... | 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" |
What is the total quantity of products purchased by "Rodrick Heaney"? |
-- Language PostgreSQL
-- Tables:
-- Table: addresses
columns : [['address id', 'number'], ['address content', 'text'], ['city', 'text'], ['zip postcode', 'text'], ['state province county', 'text'], ['country', 'text'], ['other address details', 'text']]
-- Table: products
columns : [... | 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". |
-- Language PostgreSQL
-- Tables:
-- Table: addresses
columns : [['address id', 'number'], ['address content', 'text'], ['city', 'text'], ['zip postcode', 'text'], ['state province county', 'text'], ['country', 'text'], ['other address details', 'text']]
-- Table: products
columns : [... | 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" |
How many customers have at least one order with status "Cancelled"? |
-- Language PostgreSQL
-- Tables:
-- Table: addresses
columns : [['address id', 'number'], ['address content', 'text'], ['city', 'text'], ['zip postcode', 'text'], ['state province county', 'text'], ['country', 'text'], ['other address details', 'text']]
-- Table: products
columns : [... | 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. |
-- Language PostgreSQL
-- Tables:
-- Table: addresses
columns : [['address id', 'number'], ['address content', 'text'], ['city', 'text'], ['zip postcode', 'text'], ['state province county', 'text'], ['country', 'text'], ['other address details', 'text']]
-- Table: products
columns : [... | SELECT count(DISTINCT customer_id) FROM customer_orders WHERE order_status = "Cancelled" |
How many orders have detail "Second time"? |
-- Language PostgreSQL
-- Tables:
-- Table: addresses
columns : [['address id', 'number'], ['address content', 'text'], ['city', 'text'], ['zip postcode', 'text'], ['state province county', 'text'], ['country', 'text'], ['other address details', 'text']]
-- Table: products
columns : [... | SELECT count(*) FROM customer_orders WHERE order_details = "Second time" |
Tell me the number of orders with "Second time" as order detail. |
-- Language PostgreSQL
-- Tables:
-- Table: addresses
columns : [['address id', 'number'], ['address content', 'text'], ['city', 'text'], ['zip postcode', 'text'], ['state province county', 'text'], ['country', 'text'], ['other address details', 'text']]
-- Table: products
columns : [... | SELECT count(*) FROM customer_orders WHERE order_details = "Second time" |
Find the customer name and date of the orders that have the status "Delivered". |
-- Language PostgreSQL
-- Tables:
-- Table: addresses
columns : [['address id', 'number'], ['address content', 'text'], ['city', 'text'], ['zip postcode', 'text'], ['state province county', 'text'], ['country', 'text'], ['other address details', 'text']]
-- Table: products
columns : [... | 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". |
-- Language PostgreSQL
-- Tables:
-- Table: addresses
columns : [['address id', 'number'], ['address content', 'text'], ['city', 'text'], ['zip postcode', 'text'], ['state province county', 'text'], ['country', 'text'], ['other address details', 'text']]
-- Table: products
columns : [... | 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 is the total number of products that are in orders with status "Cancelled"? |
-- Language PostgreSQL
-- Tables:
-- Table: addresses
columns : [['address id', 'number'], ['address content', 'text'], ['city', 'text'], ['zip postcode', 'text'], ['state province county', 'text'], ['country', 'text'], ['other address details', 'text']]
-- Table: products
columns : [... | 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. |
-- Language PostgreSQL
-- Tables:
-- Table: addresses
columns : [['address id', 'number'], ['address content', 'text'], ['city', 'text'], ['zip postcode', 'text'], ['state province county', 'text'], ['country', 'text'], ['other address details', 'text']]
-- Table: products
columns : [... | 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 amount of products ordered before 2018-03-17 07:13:53. |
-- Language PostgreSQL
-- Tables:
-- Table: addresses
columns : [['address id', 'number'], ['address content', 'text'], ['city', 'text'], ['zip postcode', 'text'], ['state province county', 'text'], ['country', 'text'], ['other address details', 'text']]
-- Table: products
columns : [... | 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? |
-- Language PostgreSQL
-- Tables:
-- Table: addresses
columns : [['address id', 'number'], ['address content', 'text'], ['city', 'text'], ['zip postcode', 'text'], ['state province county', 'text'], ['country', 'text'], ['other address details', 'text']]
-- Table: products
columns : [... | 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" |
Who made the latest order? |
-- Language PostgreSQL
-- Tables:
-- Table: addresses
columns : [['address id', 'number'], ['address content', 'text'], ['city', 'text'], ['zip postcode', 'text'], ['state province county', 'text'], ['country', 'text'], ['other address details', 'text']]
-- Table: products
columns : [... | 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. |
-- Language PostgreSQL
-- Tables:
-- Table: addresses
columns : [['address id', 'number'], ['address content', 'text'], ['city', 'text'], ['zip postcode', 'text'], ['state province county', 'text'], ['country', 'text'], ['other address details', 'text']]
-- Table: products
columns : [... | 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 |
Which product has been ordered most number of times? |
-- Language PostgreSQL
-- Tables:
-- Table: addresses
columns : [['address id', 'number'], ['address content', 'text'], ['city', 'text'], ['zip postcode', 'text'], ['state province county', 'text'], ['country', 'text'], ['other address details', 'text']]
-- Table: products
columns : [... | 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 |
-- Language PostgreSQL
-- Tables:
-- Table: addresses
columns : [['address id', 'number'], ['address content', 'text'], ['city', 'text'], ['zip postcode', 'text'], ['state province county', 'text'], ['country', 'text'], ['other address details', 'text']]
-- Table: products
columns : [... | 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 |
Find the name and ID of the product whose total order quantity is the largest. |
-- Language PostgreSQL
-- Tables:
-- Table: addresses
columns : [['address id', 'number'], ['address content', 'text'], ['city', 'text'], ['zip postcode', 'text'], ['state province county', 'text'], ['country', 'text'], ['other address details', 'text']]
-- Table: products
columns : [... | 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. |
-- Language PostgreSQL
-- Tables:
-- Table: addresses
columns : [['address id', 'number'], ['address content', 'text'], ['city', 'text'], ['zip postcode', 'text'], ['state province county', 'text'], ['country', 'text'], ['other address details', 'text']]
-- Table: products
columns : [... | 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 all the addresses in East Julianaside, Texas or in Gleasonmouth, Arizona. |
-- Language PostgreSQL
-- Tables:
-- Table: addresses
columns : [['address id', 'number'], ['address content', 'text'], ['city', 'text'], ['zip postcode', 'text'], ['state province county', 'text'], ['country', 'text'], ['other address details', 'text']]
-- Table: products
columns : [... | 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. |
-- Language PostgreSQL
-- Tables:
-- Table: addresses
columns : [['address id', 'number'], ['address content', 'text'], ['city', 'text'], ['zip postcode', 'text'], ['state province county', 'text'], ['country', 'text'], ['other address details', 'text']]
-- Table: products
columns : [... | 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 the name of customers who did not pay with Cash. |
-- Language PostgreSQL
-- Tables:
-- Table: addresses
columns : [['address id', 'number'], ['address content', 'text'], ['city', 'text'], ['zip postcode', 'text'], ['state province county', 'text'], ['country', 'text'], ['other address details', 'text']]
-- Table: products
columns : [... | SELECT customer_name FROM customers WHERE payment_method != 'Cash' |
What is the name of customers who do not use Cash as payment method. |
-- Language PostgreSQL
-- Tables:
-- Table: addresses
columns : [['address id', 'number'], ['address content', 'text'], ['city', 'text'], ['zip postcode', 'text'], ['state province county', 'text'], ['country', 'text'], ['other address details', 'text']]
-- Table: products
columns : [... | SELECT customer_name FROM customers WHERE payment_method != 'Cash' |
Find the names of customers who never ordered product Latte. |
-- Language PostgreSQL
-- Tables:
-- Table: addresses
columns : [['address id', 'number'], ['address content', 'text'], ['city', 'text'], ['zip postcode', 'text'], ['state province county', 'text'], ['country', 'text'], ['other address details', 'text']]
-- Table: products
columns : [... | 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. |
-- Language PostgreSQL
-- Tables:
-- Table: addresses
columns : [['address id', 'number'], ['address content', 'text'], ['city', 'text'], ['zip postcode', 'text'], ['state province county', 'text'], ['country', 'text'], ['other address details', 'text']]
-- Table: products
columns : [... | 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 placed an order. |
-- Language PostgreSQL
-- Tables:
-- Table: addresses
columns : [['address id', 'number'], ['address content', 'text'], ['city', 'text'], ['zip postcode', 'text'], ['state province county', 'text'], ['country', 'text'], ['other address details', 'text']]
-- Table: products
columns : [... | 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. |
-- Language PostgreSQL
-- Tables:
-- Table: addresses
columns : [['address id', 'number'], ['address content', 'text'], ['city', 'text'], ['zip postcode', 'text'], ['state province county', 'text'], ['country', 'text'], ['other address details', 'text']]
-- Table: products
columns : [... | 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 ordered both products Latte and Americano. |
-- Language PostgreSQL
-- Tables:
-- Table: addresses
columns : [['address id', 'number'], ['address content', 'text'], ['city', 'text'], ['zip postcode', 'text'], ['state province county', 'text'], ['country', 'text'], ['other address details', 'text']]
-- Table: products
columns : [... | 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 custo... |
What are the names of customers who have purchased both products Latte and Americano? |
-- Language PostgreSQL
-- Tables:
-- Table: addresses
columns : [['address id', 'number'], ['address content', 'text'], ['city', 'text'], ['zip postcode', 'text'], ['state province county', 'text'], ['country', 'text'], ['other address details', 'text']]
-- Table: products
columns : [... | 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 custo... |
How many artists are there? |
-- Language PostgreSQL
-- Tables:
-- Table: artist
columns : [['artist id', 'number'], ['artist', 'text'], ['age', 'number'], ['famous title', 'text'], ['famous release date', 'text']]
-- Table: volume
columns : [['volume id', 'number'], ['volume issue', 'text'], ['issue date', 'text'... | SELECT count(*) FROM artist |
Count the number of artists. |
-- Language PostgreSQL
-- Tables:
-- Table: artist
columns : [['artist id', 'number'], ['artist', 'text'], ['age', 'number'], ['famous title', 'text'], ['famous release date', 'text']]
-- Table: volume
columns : [['volume id', 'number'], ['volume issue', 'text'], ['issue date', 'text'... | SELECT count(*) FROM artist |
List the age of all music artists. |
-- Language PostgreSQL
-- Tables:
-- Table: artist
columns : [['artist id', 'number'], ['artist', 'text'], ['age', 'number'], ['famous title', 'text'], ['famous release date', 'text']]
-- Table: volume
columns : [['volume id', 'number'], ['volume issue', 'text'], ['issue date', 'text'... | SELECT Age FROM artist |
What are the ages of all music artists? |
-- Language PostgreSQL
-- Tables:
-- Table: artist
columns : [['artist id', 'number'], ['artist', 'text'], ['age', 'number'], ['famous title', 'text'], ['famous release date', 'text']]
-- Table: volume
columns : [['volume id', 'number'], ['volume issue', 'text'], ['issue date', 'text'... | SELECT Age FROM artist |
What is the average age of all artists? |
-- Language PostgreSQL
-- Tables:
-- Table: artist
columns : [['artist id', 'number'], ['artist', 'text'], ['age', 'number'], ['famous title', 'text'], ['famous release date', 'text']]
-- Table: volume
columns : [['volume id', 'number'], ['volume issue', 'text'], ['issue date', 'text'... | SELECT avg(Age) FROM artist |
Return the average age across all artists. |
-- Language PostgreSQL
-- Tables:
-- Table: artist
columns : [['artist id', 'number'], ['artist', 'text'], ['age', 'number'], ['famous title', 'text'], ['famous release date', 'text']]
-- Table: volume
columns : [['volume id', 'number'], ['volume issue', 'text'], ['issue date', 'text'... | SELECT avg(Age) FROM artist |
What are the famous titles of the artist "Triumfall"? |
-- Language PostgreSQL
-- Tables:
-- Table: artist
columns : [['artist id', 'number'], ['artist', 'text'], ['age', 'number'], ['famous title', 'text'], ['famous release date', 'text']]
-- Table: volume
columns : [['volume id', 'number'], ['volume issue', 'text'], ['issue date', 'text'... | SELECT Famous_Title FROM artist WHERE Artist = "Triumfall" |
Return the famous titles of the artist called "Triumfall". |
-- Language PostgreSQL
-- Tables:
-- Table: artist
columns : [['artist id', 'number'], ['artist', 'text'], ['age', 'number'], ['famous title', 'text'], ['famous release date', 'text']]
-- Table: volume
columns : [['volume id', 'number'], ['volume issue', 'text'], ['issue date', 'text'... | SELECT Famous_Title FROM artist WHERE Artist = "Triumfall" |
What are the distinct Famous release dates? |
-- Language PostgreSQL
-- Tables:
-- Table: artist
columns : [['artist id', 'number'], ['artist', 'text'], ['age', 'number'], ['famous title', 'text'], ['famous release date', 'text']]
-- Table: volume
columns : [['volume id', 'number'], ['volume issue', 'text'], ['issue date', 'text'... | SELECT distinct(Famous_Release_date) FROM artist |
Give the distinct famous release dates for all artists. |
-- Language PostgreSQL
-- Tables:
-- Table: artist
columns : [['artist id', 'number'], ['artist', 'text'], ['age', 'number'], ['famous title', 'text'], ['famous release date', 'text']]
-- Table: volume
columns : [['volume id', 'number'], ['volume issue', 'text'], ['issue date', 'text'... | SELECT distinct(Famous_Release_date) FROM artist |
Return the dates of ceremony and the results of all music festivals |
-- Language PostgreSQL
-- Tables:
-- Table: artist
columns : [['artist id', 'number'], ['artist', 'text'], ['age', 'number'], ['famous title', 'text'], ['famous release date', 'text']]
-- Table: volume
columns : [['volume id', 'number'], ['volume issue', 'text'], ['issue date', 'text'... | SELECT Date_of_ceremony , RESULT FROM music_festival |
What are the dates of ceremony and results for each music festival? |
-- Language PostgreSQL
-- Tables:
-- Table: artist
columns : [['artist id', 'number'], ['artist', 'text'], ['age', 'number'], ['famous title', 'text'], ['famous release date', 'text']]
-- Table: volume
columns : [['volume id', 'number'], ['volume issue', 'text'], ['issue date', 'text'... | SELECT Date_of_ceremony , RESULT FROM music_festival |
What are the category of music festivals with result "Awarded"? |
-- Language PostgreSQL
-- Tables:
-- Table: artist
columns : [['artist id', 'number'], ['artist', 'text'], ['age', 'number'], ['famous title', 'text'], ['famous release date', 'text']]
-- Table: volume
columns : [['volume id', 'number'], ['volume issue', 'text'], ['issue date', 'text'... | SELECT Category FROM music_festival WHERE RESULT = "Awarded" |
Return the categories of music festivals that have the result "Awarded". |
-- Language PostgreSQL
-- Tables:
-- Table: artist
columns : [['artist id', 'number'], ['artist', 'text'], ['age', 'number'], ['famous title', 'text'], ['famous release date', 'text']]
-- Table: volume
columns : [['volume id', 'number'], ['volume issue', 'text'], ['issue date', 'text'... | SELECT Category FROM music_festival WHERE RESULT = "Awarded" |
What are the maximum and minimum week on top of all volumes? |
-- Language PostgreSQL
-- Tables:
-- Table: artist
columns : [['artist id', 'number'], ['artist', 'text'], ['age', 'number'], ['famous title', 'text'], ['famous release date', 'text']]
-- Table: volume
columns : [['volume id', 'number'], ['volume issue', 'text'], ['issue date', 'text'... | SELECT max(Weeks_on_Top) , min(Weeks_on_Top) FROM volume |
Give the maximum and minimum weeks on top across all volumes. |
-- Language PostgreSQL
-- Tables:
-- Table: artist
columns : [['artist id', 'number'], ['artist', 'text'], ['age', 'number'], ['famous title', 'text'], ['famous release date', 'text']]
-- Table: volume
columns : [['volume id', 'number'], ['volume issue', 'text'], ['issue date', 'text'... | SELECT max(Weeks_on_Top) , min(Weeks_on_Top) FROM volume |
What are the songs in volumes with more than 1 week on top? |
-- Language PostgreSQL
-- Tables:
-- Table: artist
columns : [['artist id', 'number'], ['artist', 'text'], ['age', 'number'], ['famous title', 'text'], ['famous release date', 'text']]
-- Table: volume
columns : [['volume id', 'number'], ['volume issue', 'text'], ['issue date', 'text'... | SELECT Song FROM volume WHERE Weeks_on_Top > 1 |
Give the songs included in volumes that have more than 1 week on top. |
-- Language PostgreSQL
-- Tables:
-- Table: artist
columns : [['artist id', 'number'], ['artist', 'text'], ['age', 'number'], ['famous title', 'text'], ['famous release date', 'text']]
-- Table: volume
columns : [['volume id', 'number'], ['volume issue', 'text'], ['issue date', 'text'... | SELECT Song FROM volume WHERE Weeks_on_Top > 1 |
Please list all songs in volumes in ascending alphabetical order. |
-- Language PostgreSQL
-- Tables:
-- Table: artist
columns : [['artist id', 'number'], ['artist', 'text'], ['age', 'number'], ['famous title', 'text'], ['famous release date', 'text']]
-- Table: volume
columns : [['volume id', 'number'], ['volume issue', 'text'], ['issue date', 'text'... | SELECT Song FROM volume ORDER BY Song |
What are the the songs in volumes, listed in ascending order? |
-- Language PostgreSQL
-- Tables:
-- Table: artist
columns : [['artist id', 'number'], ['artist', 'text'], ['age', 'number'], ['famous title', 'text'], ['famous release date', 'text']]
-- Table: volume
columns : [['volume id', 'number'], ['volume issue', 'text'], ['issue date', 'text'... | SELECT Song FROM volume ORDER BY Song |
How many distinct artists do the volumes associate to? |
-- Language PostgreSQL
-- Tables:
-- Table: artist
columns : [['artist id', 'number'], ['artist', 'text'], ['age', 'number'], ['famous title', 'text'], ['famous release date', 'text']]
-- Table: volume
columns : [['volume id', 'number'], ['volume issue', 'text'], ['issue date', 'text'... | SELECT COUNT(DISTINCT Artist_ID) FROM volume |
Count the number of distinct artists who have volumes. |
-- Language PostgreSQL
-- Tables:
-- Table: artist
columns : [['artist id', 'number'], ['artist', 'text'], ['age', 'number'], ['famous title', 'text'], ['famous release date', 'text']]
-- Table: volume
columns : [['volume id', 'number'], ['volume issue', 'text'], ['issue date', 'text'... | SELECT COUNT(DISTINCT Artist_ID) FROM volume |
Please show the date of ceremony of the volumes that last more than 2 weeks on top. |
-- Language PostgreSQL
-- Tables:
-- Table: artist
columns : [['artist id', 'number'], ['artist', 'text'], ['age', 'number'], ['famous title', 'text'], ['famous release date', 'text']]
-- Table: volume
columns : [['volume id', 'number'], ['volume issue', 'text'], ['issue date', 'text'... | 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? |
-- Language PostgreSQL
-- Tables:
-- Table: artist
columns : [['artist id', 'number'], ['artist', 'text'], ['age', 'number'], ['famous title', 'text'], ['famous release date', 'text']]
-- Table: volume
columns : [['volume id', 'number'], ['volume issue', 'text'], ['issue date', 'text'... | 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 songs that have result "nominated" at music festivals. |
-- Language PostgreSQL
-- Tables:
-- Table: artist
columns : [['artist id', 'number'], ['artist', 'text'], ['age', 'number'], ['famous title', 'text'], ['famous release date', 'text']]
-- Table: volume
columns : [['volume id', 'number'], ['volume issue', 'text'], ['issue date', 'text'... | 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? |
-- Language PostgreSQL
-- Tables:
-- Table: artist
columns : [['artist id', 'number'], ['artist', 'text'], ['age', 'number'], ['famous title', 'text'], ['famous release date', 'text']]
-- Table: volume
columns : [['volume id', 'number'], ['volume issue', 'text'], ['issue date', 'text'... | 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 issue dates of volumes associated with the artist "Gorgoroth"? |
-- Language PostgreSQL
-- Tables:
-- Table: artist
columns : [['artist id', 'number'], ['artist', 'text'], ['age', 'number'], ['famous title', 'text'], ['famous release date', 'text']]
-- Table: volume
columns : [['volume id', 'number'], ['volume issue', 'text'], ['issue date', 'text'... | 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. |
-- Language PostgreSQL
-- Tables:
-- Table: artist
columns : [['artist id', 'number'], ['artist', 'text'], ['age', 'number'], ['famous title', 'text'], ['famous release date', 'text']]
-- Table: volume
columns : [['volume id', 'number'], ['volume issue', 'text'], ['issue date', 'text'... | 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 songs in volumes associated with the artist aged 32 or older? |
-- Language PostgreSQL
-- Tables:
-- Table: artist
columns : [['artist id', 'number'], ['artist', 'text'], ['age', 'number'], ['famous title', 'text'], ['famous release date', 'text']]
-- Table: volume
columns : [['volume id', 'number'], ['volume issue', 'text'], ['issue date', 'text'... | 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. |
-- Language PostgreSQL
-- Tables:
-- Table: artist
columns : [['artist id', 'number'], ['artist', 'text'], ['age', 'number'], ['famous title', 'text'], ['famous release date', 'text']]
-- Table: volume
columns : [['volume id', 'number'], ['volume issue', 'text'], ['issue date', 'text'... | SELECT T2.Song FROM artist AS T1 JOIN volume AS T2 ON T1.Artist_ID = T2.Artist_ID WHERE T1.age >= 32 |
What is the average weeks on top of volumes associated with the artist aged 25 or younger? |
-- Language PostgreSQL
-- Tables:
-- Table: artist
columns : [['artist id', 'number'], ['artist', 'text'], ['age', 'number'], ['famous title', 'text'], ['famous release date', 'text']]
-- Table: volume
columns : [['volume id', 'number'], ['volume issue', 'text'], ['issue date', 'text'... | 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. |
-- Language PostgreSQL
-- Tables:
-- Table: artist
columns : [['artist id', 'number'], ['artist', 'text'], ['age', 'number'], ['famous title', 'text'], ['famous release date', 'text']]
-- Table: volume
columns : [['volume id', 'number'], ['volume issue', 'text'], ['issue date', 'text'... | 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 are the famous title of the artists associated with volumes with more than 2 weeks on top? |
-- Language PostgreSQL
-- Tables:
-- Table: artist
columns : [['artist id', 'number'], ['artist', 'text'], ['age', 'number'], ['famous title', 'text'], ['famous release date', 'text']]
-- Table: volume
columns : [['volume id', 'number'], ['volume issue', 'text'], ['issue date', 'text'... | 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. |
-- Language PostgreSQL
-- Tables:
-- Table: artist
columns : [['artist id', 'number'], ['artist', 'text'], ['age', 'number'], ['famous title', 'text'], ['famous release date', 'text']]
-- Table: volume
columns : [['volume id', 'number'], ['volume issue', 'text'], ['issue date', 'text'... | 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 |
Please list the age and famous title of artists in descending order of age. |
-- Language PostgreSQL
-- Tables:
-- Table: artist
columns : [['artist id', 'number'], ['artist', 'text'], ['age', 'number'], ['famous title', 'text'], ['famous release date', 'text']]
-- Table: volume
columns : [['volume id', 'number'], ['volume issue', 'text'], ['issue date', 'text'... | 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? |
-- Language PostgreSQL
-- Tables:
-- Table: artist
columns : [['artist id', 'number'], ['artist', 'text'], ['age', 'number'], ['famous title', 'text'], ['famous release date', 'text']]
-- Table: volume
columns : [['volume id', 'number'], ['volume issue', 'text'], ['issue date', 'text'... | SELECT Famous_Title , Age FROM artist ORDER BY Age DESC |
What is the famous release date of the artist with the oldest age? |
-- Language PostgreSQL
-- Tables:
-- Table: artist
columns : [['artist id', 'number'], ['artist', 'text'], ['age', 'number'], ['famous title', 'text'], ['famous release date', 'text']]
-- Table: volume
columns : [['volume id', 'number'], ['volume issue', 'text'], ['issue date', 'text'... | SELECT Famous_Release_date FROM artist ORDER BY Age DESC LIMIT 1 |
Return the famous release date for the oldest artist. |
-- Language PostgreSQL
-- Tables:
-- Table: artist
columns : [['artist id', 'number'], ['artist', 'text'], ['age', 'number'], ['famous title', 'text'], ['famous release date', 'text']]
-- Table: volume
columns : [['volume id', 'number'], ['volume issue', 'text'], ['issue date', 'text'... | SELECT Famous_Release_date FROM artist ORDER BY Age DESC LIMIT 1 |
Please show the categories of the music festivals and the count. |
-- Language PostgreSQL
-- Tables:
-- Table: artist
columns : [['artist id', 'number'], ['artist', 'text'], ['age', 'number'], ['famous title', 'text'], ['famous release date', 'text']]
-- Table: volume
columns : [['volume id', 'number'], ['volume issue', 'text'], ['issue date', 'text'... | SELECT Category , COUNT(*) FROM music_festival GROUP BY Category |
Return the number of music festivals of each category. |
-- Language PostgreSQL
-- Tables:
-- Table: artist
columns : [['artist id', 'number'], ['artist', 'text'], ['age', 'number'], ['famous title', 'text'], ['famous release date', 'text']]
-- Table: volume
columns : [['volume id', 'number'], ['volume issue', 'text'], ['issue date', 'text'... | SELECT Category , COUNT(*) FROM music_festival GROUP BY Category |
What is the most common result of the music festival? |
-- Language PostgreSQL
-- Tables:
-- Table: artist
columns : [['artist id', 'number'], ['artist', 'text'], ['age', 'number'], ['famous title', 'text'], ['famous release date', 'text']]
-- Table: volume
columns : [['volume id', 'number'], ['volume issue', 'text'], ['issue date', 'text'... | SELECT RESULT FROM music_festival GROUP BY RESULT ORDER BY COUNT(*) DESC LIMIT 1 |
Return the result that is most frequent at music festivals. |
-- Language PostgreSQL
-- Tables:
-- Table: artist
columns : [['artist id', 'number'], ['artist', 'text'], ['age', 'number'], ['famous title', 'text'], ['famous release date', 'text']]
-- Table: volume
columns : [['volume id', 'number'], ['volume issue', 'text'], ['issue date', 'text'... | SELECT RESULT FROM music_festival GROUP BY RESULT ORDER BY COUNT(*) DESC LIMIT 1 |
Please show the categories of the music festivals with count more than 1. |
-- Language PostgreSQL
-- Tables:
-- Table: artist
columns : [['artist id', 'number'], ['artist', 'text'], ['age', 'number'], ['famous title', 'text'], ['famous release date', 'text']]
-- Table: volume
columns : [['volume id', 'number'], ['volume issue', 'text'], ['issue date', 'text'... | 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? |
-- Language PostgreSQL
-- Tables:
-- Table: artist
columns : [['artist id', 'number'], ['artist', 'text'], ['age', 'number'], ['famous title', 'text'], ['famous release date', 'text']]
-- Table: volume
columns : [['volume id', 'number'], ['volume issue', 'text'], ['issue date', 'text'... | SELECT Category FROM music_festival GROUP BY Category HAVING COUNT(*) > 1 |
What is the song in the volume with the maximum weeks on top? |
-- Language PostgreSQL
-- Tables:
-- Table: artist
columns : [['artist id', 'number'], ['artist', 'text'], ['age', 'number'], ['famous title', 'text'], ['famous release date', 'text']]
-- Table: volume
columns : [['volume id', 'number'], ['volume issue', 'text'], ['issue date', 'text'... | 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? |
-- Language PostgreSQL
-- Tables:
-- Table: artist
columns : [['artist id', 'number'], ['artist', 'text'], ['age', 'number'], ['famous title', 'text'], ['famous release date', 'text']]
-- Table: volume
columns : [['volume id', 'number'], ['volume issue', 'text'], ['issue date', 'text'... | SELECT Song FROM volume ORDER BY Weeks_on_Top DESC LIMIT 1 |
Find the famous titles of artists that do not have any volume. |
-- Language PostgreSQL
-- Tables:
-- Table: artist
columns : [['artist id', 'number'], ['artist', 'text'], ['age', 'number'], ['famous title', 'text'], ['famous release date', 'text']]
-- Table: volume
columns : [['volume id', 'number'], ['volume issue', 'text'], ['issue date', 'text'... | 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? |
-- Language PostgreSQL
-- Tables:
-- Table: artist
columns : [['artist id', 'number'], ['artist', 'text'], ['age', 'number'], ['famous title', 'text'], ['famous release date', 'text']]
-- Table: volume
columns : [['volume id', 'number'], ['volume issue', 'text'], ['issue date', 'text'... | SELECT Famous_Title FROM artist WHERE Artist_ID NOT IN(SELECT Artist_ID FROM volume) |
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. |
-- Language PostgreSQL
-- Tables:
-- Table: artist
columns : [['artist id', 'number'], ['artist', 'text'], ['age', 'number'], ['famous title', 'text'], ['famous release date', 'text']]
-- Table: volume
columns : [['volume id', 'number'], ['volume issue', 'text'], ['issue date', 'text'... | 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? |
-- Language PostgreSQL
-- Tables:
-- Table: artist
columns : [['artist id', 'number'], ['artist', 'text'], ['age', 'number'], ['famous title', 'text'], ['famous release date', 'text']]
-- Table: volume
columns : [['volume id', 'number'], ['volume issue', 'text'], ['issue date', 'text'... | 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 date of ceremony of music festivals with category "Best Song" and result "Awarded"? |
-- Language PostgreSQL
-- Tables:
-- Table: artist
columns : [['artist id', 'number'], ['artist', 'text'], ['age', 'number'], ['famous title', 'text'], ['famous release date', 'text']]
-- Table: volume
columns : [['volume id', 'number'], ['volume issue', 'text'], ['issue date', 'text'... | 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". |
-- Language PostgreSQL
-- Tables:
-- Table: artist
columns : [['artist id', 'number'], ['artist', 'text'], ['age', 'number'], ['famous title', 'text'], ['famous release date', 'text']]
-- Table: volume
columns : [['volume id', 'number'], ['volume issue', 'text'], ['issue date', 'text'... | SELECT Date_of_ceremony FROM music_festival WHERE Category = "Best Song" AND RESULT = "Awarded" |
What is the issue date of the volume with the minimum weeks on top? |
-- Language PostgreSQL
-- Tables:
-- Table: artist
columns : [['artist id', 'number'], ['artist', 'text'], ['age', 'number'], ['famous title', 'text'], ['famous release date', 'text']]
-- Table: volume
columns : [['volume id', 'number'], ['volume issue', 'text'], ['issue date', 'text'... | 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. |
-- Language PostgreSQL
-- Tables:
-- Table: artist
columns : [['artist id', 'number'], ['artist', 'text'], ['age', 'number'], ['famous title', 'text'], ['famous release date', 'text']]
-- Table: volume
columns : [['volume id', 'number'], ['volume issue', 'text'], ['issue date', 'text'... | SELECT Issue_Date FROM volume ORDER BY Weeks_on_Top ASC LIMIT 1 |
How many distinct artists have volumes? |
-- Language PostgreSQL
-- Tables:
-- Table: artist
columns : [['artist id', 'number'], ['artist', 'text'], ['age', 'number'], ['famous title', 'text'], ['famous release date', 'text']]
-- Table: volume
columns : [['volume id', 'number'], ['volume issue', 'text'], ['issue date', 'text'... | SELECT COUNT(DISTINCT Artist_ID) FROM volume |
Count the number of artists who have had volumes. |
-- Language PostgreSQL
-- Tables:
-- Table: artist
columns : [['artist id', 'number'], ['artist', 'text'], ['age', 'number'], ['famous title', 'text'], ['famous release date', 'text']]
-- Table: volume
columns : [['volume id', 'number'], ['volume issue', 'text'], ['issue date', 'text'... | SELECT COUNT(DISTINCT Artist_ID) FROM volume |
Please show the results of music festivals and the number of music festivals that have had each, ordered by this count. |
-- Language PostgreSQL
-- Tables:
-- Table: artist
columns : [['artist id', 'number'], ['artist', 'text'], ['age', 'number'], ['famous title', 'text'], ['famous release date', 'text']]
-- Table: volume
columns : [['volume id', 'number'], ['volume issue', 'text'], ['issue date', 'text'... | SELECT RESULT , COUNT(*) FROM music_festival GROUP BY RESULT ORDER BY COUNT(*) DESC |
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