NATURAL_LANG
stringlengths 12
244
| SQL
stringlengths 18
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| SCHEMA
stringlengths 27
355
| input_ids
list | attention_mask
list | labels
list |
|---|---|---|---|---|---|
Show the game name that has most number of hours played.
|
SELECT gname FROM Plays_games AS T1 JOIN Video_games AS T2 ON T1.gameid = T2.gameid GROUP BY T1.gameid ORDER BY SUM(hours_played) DESC LIMIT 1
|
CREATE TABLE Plays_games (gameid VARCHAR); CREATE TABLE Video_games (gameid VARCHAR)
|
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Show all game names played by at least 1000 hours.
|
SELECT gname FROM Plays_games AS T1 JOIN Video_games AS T2 ON T1.gameid = T2.gameid GROUP BY T1.gameid HAVING SUM(hours_played) >= 1000
|
CREATE TABLE Plays_games (gameid VARCHAR); CREATE TABLE Video_games (gameid VARCHAR)
|
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Show all game names played by Linda Smith
|
SELECT Gname FROM Plays_games AS T1 JOIN Video_games AS T2 ON T1.gameid = T2.gameid JOIN Student AS T3 ON T3.Stuid = T1.Stuid WHERE T3.Lname = "Smith" AND T3.Fname = "Linda"
|
CREATE TABLE Student (Stuid VARCHAR, Lname VARCHAR, Fname VARCHAR); CREATE TABLE Plays_games (gameid VARCHAR, Stuid VARCHAR); CREATE TABLE Video_games (gameid VARCHAR)
|
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Find the last and first name of students who are playing Football or Lacrosse.
|
SELECT T2.lname, T2.fname FROM SportsInfo AS T1 JOIN Student AS T2 ON T1.StuID = T2.StuID WHERE T1.SportName = "Football" OR T1.SportName = "Lacrosse"
|
CREATE TABLE SportsInfo (StuID VARCHAR, SportName VARCHAR); CREATE TABLE Student (lname VARCHAR, fname VARCHAR, StuID VARCHAR)
|
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Find the first name and age of the students who are playing both Football and Lacrosse.
|
SELECT fname, age FROM Student WHERE StuID IN (SELECT StuID FROM Sportsinfo WHERE SportName = "Football" INTERSECT SELECT StuID FROM Sportsinfo WHERE SportName = "Lacrosse")
|
CREATE TABLE Student (fname VARCHAR, age VARCHAR, StuID VARCHAR, SportName VARCHAR); CREATE TABLE Sportsinfo (fname VARCHAR, age VARCHAR, StuID VARCHAR, SportName VARCHAR)
|
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Find the last name and gender of the students who are playing both Call of Destiny and Works of Widenius games.
|
SELECT lname, sex FROM Student WHERE StuID IN (SELECT T1.StuID FROM Plays_games AS T1 JOIN Video_games AS T2 ON T1.GameID = T2.GameID WHERE T2.Gname = "Call of Destiny" INTERSECT SELECT T1.StuID FROM Plays_games AS T1 JOIN Video_games AS T2 ON T1.GameID = T2.GameID WHERE T2.Gname = "Works of Widenius")
|
CREATE TABLE Plays_games (StuID VARCHAR, GameID VARCHAR); CREATE TABLE Student (lname VARCHAR, sex VARCHAR, StuID VARCHAR); CREATE TABLE Video_games (GameID VARCHAR, Gname VARCHAR)
|
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Find the name of all customers.
|
SELECT customer_name FROM customers
|
CREATE TABLE customers (customer_name VARCHAR)
|
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What is the average amount of items ordered in each order?
|
SELECT AVG(order_quantity) FROM order_items
|
CREATE TABLE order_items (order_quantity INTEGER)
|
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What are the names of customers who use payment method "Cash"?
|
SELECT customer_name FROM customers WHERE payment_method = "Cash"
|
CREATE TABLE customers (customer_name VARCHAR, payment_method VARCHAR)
|
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Find the "date became customers" of the customers whose ID is between 10 and 20.
|
SELECT date_became_customer FROM customers WHERE customer_id BETWEEN 10 AND 20
|
CREATE TABLE customers (date_became_customer VARCHAR, customer_id INTEGER)
|
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] |
Which payment method is used by most customers?
|
SELECT payment_method FROM customers GROUP BY payment_method ORDER BY COUNT(*) DESC LIMIT 1
|
CREATE TABLE customers (payment_method VARCHAR)
|
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What are the names of customers using the most popular payment method?
|
SELECT customer_name FROM customers WHERE payment_method = (SELECT payment_method FROM customers GROUP BY payment_method ORDER BY COUNT(*) DESC LIMIT 1)
|
CREATE TABLE customers (customer_name VARCHAR, payment_method VARCHAR)
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What are all the payment methods?
|
SELECT DISTINCT payment_method FROM customers
|
CREATE TABLE customers (payment_method VARCHAR)
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What are the details of all products?
|
SELECT DISTINCT product_details FROM products
|
CREATE TABLE products (product_details VARCHAR)
|
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Find the name of all customers whose name contains "Alex".
|
SELECT customer_name FROM customers WHERE customer_name LIKE "%Alex%"
|
CREATE TABLE customers (customer_name VARCHAR)
|
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] |
Find the detail of products whose detail contains the word "Latte" or the word "Americano"
|
SELECT product_details FROM products WHERE product_details LIKE "%Latte%" OR product_details LIKE "%Americano%"
|
CREATE TABLE products (product_details VARCHAR)
|
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What is the address content of the customer named "Maudie Kertzmann"?
|
SELECT t3.address_content FROM customers AS t1 JOIN customer_addresses AS t2 ON t1.customer_id = t2.customer_id JOIN addresses AS t3 ON t2.address_id = t3.address_id WHERE t1.customer_name = "Maudie Kertzmann"
|
CREATE TABLE customers (customer_id VARCHAR, customer_name VARCHAR); CREATE TABLE customer_addresses (customer_id VARCHAR, address_id VARCHAR); CREATE TABLE addresses (address_content VARCHAR, address_id VARCHAR)
|
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How many customers are living in city "Lake Geovannyton"?
|
SELECT COUNT(*) FROM customers AS t1 JOIN customer_addresses AS t2 ON t1.customer_id = t2.customer_id JOIN addresses AS t3 ON t2.address_id = t3.address_id WHERE t3.city = "Lake Geovannyton"
|
CREATE TABLE customers (customer_id VARCHAR); CREATE TABLE addresses (address_id VARCHAR, city VARCHAR); CREATE TABLE customer_addresses (customer_id VARCHAR, address_id VARCHAR)
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Find the name of customers who are living in Colorado?
|
SELECT t1.customer_name FROM customers AS t1 JOIN customer_addresses AS t2 ON t1.customer_id = t2.customer_id JOIN addresses AS t3 ON t2.address_id = t3.address_id WHERE t3.state_province_county = "Colorado"
|
CREATE TABLE customer_addresses (customer_id VARCHAR, address_id VARCHAR); CREATE TABLE customers (customer_name VARCHAR, customer_id VARCHAR); CREATE TABLE addresses (address_id VARCHAR, state_province_county VARCHAR)
|
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[
3,
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14196,
3,
17,
5411,
25697,
49,
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4350,
21680,
722,
6157,
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17,
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9,
26,
12039,
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565,
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-100,
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-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100
] |
Find the list of cities that no customer is living in.
|
SELECT city FROM addresses WHERE NOT city IN (SELECT DISTINCT t3.city FROM customers AS t1 JOIN customer_addresses AS t2 ON t1.customer_id = t2.customer_id JOIN addresses AS t3 ON t2.address_id = t3.address_id)
|
CREATE TABLE customers (customer_id VARCHAR); CREATE TABLE addresses (city VARCHAR, address_id VARCHAR); CREATE TABLE customer_addresses (customer_id VARCHAR, address_id VARCHAR); CREATE TABLE addresses (city VARCHAR)
|
[
32100,
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584,
4280,
28027,
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] |
[
3,
23143,
14196,
690,
21680,
7181,
549,
17444,
427,
4486,
690,
3388,
41,
23143,
14196,
3,
15438,
25424,
6227,
3,
17,
5787,
6726,
21680,
722,
6157,
3,
17,
536,
3,
15355,
3162,
884,
834,
9,
26,
12039,
15,
7,
6157,
3,
17,
357,
9191,
3,
17,
5411,
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834,
23,
26,
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17,
4416,
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834,
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26,
3,
15355,
3162,
7181,
6157,
3,
17,
519,
9191,
3,
17,
4416,
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26,
12039,
834,
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26,
3274,
3,
17,
5787,
9,
26,
12039,
834,
23,
26,
61,
1,
-100,
-100,
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-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100
] |
Which city has the most customers living in?
|
SELECT t3.city FROM customers AS t1 JOIN customer_addresses AS t2 ON t1.customer_id = t2.customer_id JOIN addresses AS t3 ON t2.address_id = t3.address_id GROUP BY t3.city ORDER BY COUNT(*) DESC LIMIT 1
|
CREATE TABLE customers (customer_id VARCHAR); CREATE TABLE addresses (city VARCHAR, address_id VARCHAR); CREATE TABLE customer_addresses (customer_id VARCHAR, address_id VARCHAR)
|
[
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
722,
41,
25697,
49,
834,
23,
26,
584,
4280,
28027,
61,
3,
32105,
32106,
32102,
205,
4386,
6048,
332,
17098,
7181,
41,
6726,
584,
4280,
28027,
6,
1115,
834,
23,
26,
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4280,
28027,
61,
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32102,
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7,
41,
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23,
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584,
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28027,
6,
1115,
834,
23,
26,
584,
4280,
28027,
61,
3,
32101,
32106,
32107,
32106,
4073,
690,
65,
8,
167,
722,
840,
16,
58,
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Find the city with post code 255.
|
SELECT city FROM addresses WHERE zip_postcode = 255
|
CREATE TABLE addresses (city VARCHAR, zip_postcode VARCHAR)
|
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0
] |
[
3,
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] |
Find the state and country of all cities with post code starting with 4.
|
SELECT state_province_county, country FROM addresses WHERE zip_postcode LIKE "4%"
|
CREATE TABLE addresses (state_province_county VARCHAR, country VARCHAR, zip_postcode VARCHAR)
|
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3,
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1409,
2494,
565,
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13362,
63,
6,
684,
21680,
7181,
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] |
List the countries having more than 4 addresses listed.
|
SELECT country FROM addresses GROUP BY country HAVING COUNT(address_id) > 4
|
CREATE TABLE addresses (country VARCHAR, address_id VARCHAR)
|
[
32100,
32106,
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6048,
332,
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41,
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List all the contact channel codes that were used less than 5 times.
|
SELECT channel_code FROM customer_contact_channels GROUP BY channel_code HAVING COUNT(customer_id) < 5
|
CREATE TABLE customer_contact_channels (channel_code VARCHAR, customer_id VARCHAR)
|
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] |
Which contact channel has been used by the customer with name "Tillman Ernser"?
|
SELECT DISTINCT channel_code FROM customers AS t1 JOIN customer_contact_channels AS t2 ON t1.customer_id = t2.customer_id WHERE t1.customer_name = "Tillman Ernser"
|
CREATE TABLE customers (customer_id VARCHAR, customer_name VARCHAR); CREATE TABLE customer_contact_channels (customer_id VARCHAR)
|
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What is the "active to date" of the latest contact channel used by "Tillman Ernser"?
|
SELECT MAX(t2.active_to_date) FROM customers AS t1 JOIN customer_contact_channels AS t2 ON t1.customer_id = t2.customer_id WHERE t1.customer_name = "Tillman Ernser"
|
CREATE TABLE customers (customer_id VARCHAR, customer_name VARCHAR); CREATE TABLE customer_contact_channels (active_to_date INTEGER, customer_id VARCHAR)
|
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What is the average time span of contact channels in the database?
|
SELECT AVG(active_to_date - active_from_date) FROM customer_contact_channels
|
CREATE TABLE customer_contact_channels (active_to_date VARCHAR, active_from_date VARCHAR)
|
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What is the channel code and contact number of the customer contact channel that was active for the longest time?
|
SELECT channel_code, contact_number FROM customer_contact_channels WHERE active_to_date - active_from_date = (SELECT active_to_date - active_from_date FROM customer_contact_channels ORDER BY (active_to_date - active_from_date) DESC LIMIT 1)
|
CREATE TABLE customer_contact_channels (channel_code VARCHAR, contact_number VARCHAR, active_to_date VARCHAR, active_from_date VARCHAR)
|
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Find the name and active date of the customer that use email as the contact channel.
|
SELECT t1.customer_name, t2.active_from_date FROM customers AS t1 JOIN customer_contact_channels AS t2 ON t1.customer_id = t2.customer_id WHERE t2.channel_code = 'Email'
|
CREATE TABLE customers (customer_name VARCHAR, customer_id VARCHAR); CREATE TABLE customer_contact_channels (active_from_date VARCHAR, customer_id VARCHAR, channel_code VARCHAR)
|
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What is the name of the customer that made the order with the largest quantity?
|
SELECT t1.customer_name FROM customers AS t1 JOIN customer_orders AS t2 ON t1.customer_id = t2.customer_id JOIN order_items AS t3 ON t2.order_id = t3.order_id WHERE t3.order_quantity = (SELECT MAX(order_quantity) FROM order_items)
|
CREATE TABLE order_items (order_id VARCHAR, order_quantity INTEGER); CREATE TABLE customers (customer_name VARCHAR, customer_id VARCHAR); CREATE TABLE order_items (order_quantity INTEGER); CREATE TABLE customer_orders (customer_id VARCHAR, order_id VARCHAR)
|
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What is the name of the customer that has purchased the most items?
|
SELECT t1.customer_name FROM customers AS t1 JOIN customer_orders AS t2 ON t1.customer_id = t2.customer_id JOIN order_items AS t3 ON t2.order_id = t3.order_id GROUP BY t1.customer_name ORDER BY SUM(t3.order_quantity) DESC LIMIT 1
|
CREATE TABLE order_items (order_id VARCHAR, order_quantity INTEGER); CREATE TABLE customers (customer_name VARCHAR, customer_id VARCHAR); CREATE TABLE customer_orders (customer_id VARCHAR, order_id VARCHAR)
|
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What is the payment method of the customer that has purchased the least quantity of items?
|
SELECT t1.payment_method FROM customers AS t1 JOIN customer_orders AS t2 ON t1.customer_id = t2.customer_id JOIN order_items AS t3 ON t2.order_id = t3.order_id GROUP BY t1.customer_name ORDER BY SUM(t3.order_quantity) LIMIT 1
|
CREATE TABLE order_items (order_id VARCHAR, order_quantity INTEGER); CREATE TABLE customers (payment_method VARCHAR, customer_name VARCHAR, customer_id VARCHAR); CREATE TABLE customer_orders (customer_id VARCHAR, order_id VARCHAR)
|
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How many types of products have Rodrick Heaney bought in total?
|
SELECT COUNT(DISTINCT t3.product_id) FROM customers AS t1 JOIN customer_orders AS t2 ON t1.customer_id = t2.customer_id JOIN order_items AS t3 ON t2.order_id = t3.order_id WHERE t1.customer_name = "Rodrick Heaney"
|
CREATE TABLE customers (customer_id VARCHAR, customer_name VARCHAR); CREATE TABLE order_items (product_id VARCHAR, order_id VARCHAR); CREATE TABLE customer_orders (customer_id VARCHAR, order_id VARCHAR)
|
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What is the total quantity of products purchased by "Rodrick Heaney"?
|
SELECT SUM(t3.order_quantity) FROM customers AS t1 JOIN customer_orders AS t2 ON t1.customer_id = t2.customer_id JOIN order_items AS t3 ON t2.order_id = t3.order_id WHERE t1.customer_name = "Rodrick Heaney"
|
CREATE TABLE customers (customer_id VARCHAR, customer_name VARCHAR); CREATE TABLE order_items (order_quantity INTEGER, order_id VARCHAR); CREATE TABLE customer_orders (customer_id VARCHAR, order_id VARCHAR)
|
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] |
How many customers have at least one order with status "Cancelled"?
|
SELECT COUNT(DISTINCT customer_id) FROM customer_orders WHERE order_status = "Cancelled"
|
CREATE TABLE customer_orders (customer_id VARCHAR, order_status VARCHAR)
|
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How many orders have detail "Second time"?
|
SELECT COUNT(*) FROM customer_orders WHERE order_details = "Second time"
|
CREATE TABLE customer_orders (order_details VARCHAR)
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Find the customer name and date of the orders that have the status "Delivered".
|
SELECT t1.customer_name, t2.order_date FROM customers AS t1 JOIN customer_orders AS t2 ON t1.customer_id = t2.customer_id WHERE order_status = "Delivered"
|
CREATE TABLE customer_orders (order_date VARCHAR, customer_id VARCHAR); CREATE TABLE customers (customer_name VARCHAR, customer_id VARCHAR)
|
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What is the total number of products that are in orders with status "Cancelled"?
|
SELECT SUM(t2.order_quantity) FROM customer_orders AS t1 JOIN order_items AS t2 ON t1.order_id = t2.order_id WHERE t1.order_status = "Cancelled"
|
CREATE TABLE customer_orders (order_id VARCHAR, order_status VARCHAR); CREATE TABLE order_items (order_quantity INTEGER, order_id VARCHAR)
|
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Find the total amount of products ordered before 2018-03-17 07:13:53.
|
SELECT SUM(t2.order_quantity) FROM customer_orders AS t1 JOIN order_items AS t2 ON t1.order_id = t2.order_id WHERE t1.order_date < "2018-03-17 07:13:53"
|
CREATE TABLE customer_orders (order_id VARCHAR, order_date INTEGER); CREATE TABLE order_items (order_quantity INTEGER, order_id VARCHAR)
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Who made the latest order?
|
SELECT t1.customer_name FROM customers AS t1 JOIN customer_orders AS t2 ON t1.customer_id = t2.customer_id ORDER BY t2.order_date DESC LIMIT 1
|
CREATE TABLE customer_orders (customer_id VARCHAR, order_date VARCHAR); CREATE TABLE customers (customer_name VARCHAR, customer_id VARCHAR)
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] |
Which product has been ordered most number of times?
|
SELECT t2.product_details FROM order_items AS t1 JOIN products AS t2 ON t1.product_id = t2.product_id GROUP BY t1.product_id ORDER BY COUNT(*) DESC LIMIT 1
|
CREATE TABLE products (product_details VARCHAR, product_id VARCHAR); CREATE TABLE order_items (product_id VARCHAR)
|
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] |
Find the name and ID of the product whose total order quantity is the largest.
|
SELECT t2.product_details, t2.product_id FROM order_items AS t1 JOIN products AS t2 ON t1.product_id = t2.product_id GROUP BY t1.product_id ORDER BY SUM(t1.order_quantity) LIMIT 1
|
CREATE TABLE order_items (product_id VARCHAR, order_quantity INTEGER); CREATE TABLE products (product_details VARCHAR, product_id VARCHAR)
|
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Find all the addresses in East Julianaside, Texas or in Gleasonmouth, Arizona.
|
SELECT address_content FROM addresses WHERE city = "East Julianaside" AND state_province_county = "Texas" UNION SELECT address_content FROM addresses WHERE city = "Gleasonmouth" AND state_province_county = "Arizona"
|
CREATE TABLE addresses (address_content VARCHAR, city VARCHAR, state_province_county VARCHAR)
|
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Find the name of customers who did not pay with Cash.
|
SELECT customer_name FROM customers WHERE payment_method <> 'Cash'
|
CREATE TABLE customers (customer_name VARCHAR, payment_method VARCHAR)
|
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Find the names of customers who never ordered product Latte.
|
SELECT customer_name FROM customers EXCEPT SELECT t1.customer_name FROM customers AS t1 JOIN customer_orders AS t2 ON t1.customer_id = t2.customer_id JOIN order_items AS t3 ON t2.order_id = t3.order_id JOIN products AS t4 ON t3.product_id = t4.product_id WHERE t4.product_details = 'Latte'
|
CREATE TABLE order_items (order_id VARCHAR, product_id VARCHAR); CREATE TABLE customers (customer_name VARCHAR); CREATE TABLE customer_orders (customer_id VARCHAR, order_id VARCHAR); CREATE TABLE products (product_id VARCHAR, product_details VARCHAR); CREATE TABLE customers (customer_name VARCHAR, customer_id VARCHAR)
|
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Find the names of customers who never placed an order.
|
SELECT customer_name FROM customers EXCEPT SELECT t1.customer_name FROM customers AS t1 JOIN customer_orders AS t2 ON t1.customer_id = t2.customer_id
|
CREATE TABLE customers (customer_name VARCHAR, customer_id VARCHAR); CREATE TABLE customers (customer_name VARCHAR); CREATE TABLE customer_orders (customer_id VARCHAR)
|
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List the age of all music artists.
|
SELECT Age FROM artist
|
CREATE TABLE artist (Age VARCHAR)
|
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] |
What is the average age of all artists?
|
SELECT AVG(Age) FROM artist
|
CREATE TABLE artist (Age INTEGER)
|
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What are the famous titles of the artist "Triumfall"?
|
SELECT Famous_Title FROM artist WHERE Artist = "Triumfall"
|
CREATE TABLE artist (Famous_Title VARCHAR, Artist VARCHAR)
|
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What are the distinct Famous release dates?
|
SELECT DISTINCT (Famous_Release_date) FROM artist
|
CREATE TABLE artist (Famous_Release_date VARCHAR)
|
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] |
Return the dates of ceremony and the results of all music festivals
|
SELECT Date_of_ceremony, RESULT FROM music_festival
|
CREATE TABLE music_festival (Date_of_ceremony VARCHAR, RESULT VARCHAR)
|
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] |
What are the category of music festivals with result "Awarded"?
|
SELECT Category FROM music_festival WHERE RESULT = "Awarded"
|
CREATE TABLE music_festival (Category VARCHAR, RESULT VARCHAR)
|
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[
3,
23143,
14196,
17459,
21680,
723,
834,
89,
24742,
549,
17444,
427,
4083,
4138,
9012,
3274,
96,
188,
28288,
121,
1,
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-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100
] |
What are the maximum and minimum week on top of all volumes?
|
SELECT MAX(Weeks_on_Top), MIN(Weeks_on_Top) FROM volume
|
CREATE TABLE volume (Weeks_on_Top INTEGER)
|
[
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
2908,
41,
1326,
16789,
834,
106,
834,
22481,
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17966,
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32106,
32107,
32106,
363,
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11,
2559,
471,
30,
420,
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[
3,
23143,
14196,
4800,
4,
599,
1326,
16789,
834,
106,
834,
22481,
201,
3,
17684,
599,
1326,
16789,
834,
106,
834,
22481,
61,
21680,
2908,
1,
-100,
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-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100
] |
What are the songs in volumes with more than 1 week on top?
|
SELECT Song FROM volume WHERE Weeks_on_Top > 1
|
CREATE TABLE volume (Song VARCHAR, Weeks_on_Top INTEGER)
|
[
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
2908,
41,
134,
2444,
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28027,
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[
3,
23143,
14196,
11263,
21680,
2908,
549,
17444,
427,
6551,
7,
834,
106,
834,
22481,
2490,
209,
1,
-100,
-100,
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-100,
-100,
-100,
-100,
-100,
-100,
-100
] |
Please list all songs in volumes in ascending alphabetical order.
|
SELECT Song FROM volume ORDER BY Song
|
CREATE TABLE volume (Song VARCHAR)
|
[
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
2908,
41,
134,
2444,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
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[
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1,
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1,
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How many distinct artists do the volumes associate to?
|
SELECT COUNT(DISTINCT Artist_ID) FROM volume
|
CREATE TABLE volume (Artist_ID VARCHAR)
|
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2847,
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25424,
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] |
Please show the date of ceremony of the volumes that last more than 2 weeks on top.
|
SELECT T1.Date_of_ceremony FROM music_festival AS T1 JOIN volume AS T2 ON T1.Volume = T2.Volume_ID WHERE T2.Weeks_on_Top > 2
|
CREATE TABLE music_festival (Date_of_ceremony VARCHAR, Volume VARCHAR); CREATE TABLE volume (Volume_ID VARCHAR, Weeks_on_Top INTEGER)
|
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Please show the songs that have result "nominated" at music festivals.
|
SELECT T2.Song FROM music_festival AS T1 JOIN volume AS T2 ON T1.Volume = T2.Volume_ID WHERE T1.Result = "Nominated"
|
CREATE TABLE volume (Song VARCHAR, Volume_ID VARCHAR); CREATE TABLE music_festival (Volume VARCHAR, Result VARCHAR)
|
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What are the issue dates of volumes associated with the artist "Gorgoroth"?
|
SELECT T2.Issue_Date FROM artist AS T1 JOIN volume AS T2 ON T1.Artist_ID = T2.Artist_ID WHERE T1.Artist = "Gorgoroth"
|
CREATE TABLE artist (Artist_ID VARCHAR, Artist VARCHAR); CREATE TABLE volume (Issue_Date VARCHAR, Artist_ID VARCHAR)
|
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What are the songs in volumes associated with the artist aged 32 or older?
|
SELECT T2.Song FROM artist AS T1 JOIN volume AS T2 ON T1.Artist_ID = T2.Artist_ID WHERE T1.age >= 32
|
CREATE TABLE volume (Song VARCHAR, Artist_ID VARCHAR); CREATE TABLE artist (Artist_ID VARCHAR, age VARCHAR)
|
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What is the average weeks on top of volumes associated with the artist aged 25 or younger?
|
SELECT AVG(T2.Weeks_on_Top) FROM artist AS T1 JOIN volume AS T2 ON T1.Artist_ID = T2.Artist_ID WHERE T1.age <= 25
|
CREATE TABLE volume (Weeks_on_Top INTEGER, Artist_ID VARCHAR); CREATE TABLE artist (Artist_ID VARCHAR, age VARCHAR)
|
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What are the famous title of the artists associated with volumes with more than 2 weeks on top?
|
SELECT T1.Famous_Title FROM artist AS T1 JOIN volume AS T2 ON T1.Artist_ID = T2.Artist_ID WHERE T2.Weeks_on_Top > 2
|
CREATE TABLE artist (Famous_Title VARCHAR, Artist_ID VARCHAR); CREATE TABLE volume (Artist_ID VARCHAR, Weeks_on_Top INTEGER)
|
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Please list the age and famous title of artists in descending order of age.
|
SELECT Famous_Title, Age FROM artist ORDER BY Age DESC
|
CREATE TABLE artist (Famous_Title VARCHAR, Age VARCHAR)
|
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-100
] |
What is the famous release date of the artist with the oldest age?
|
SELECT Famous_Release_date FROM artist ORDER BY Age DESC LIMIT 1
|
CREATE TABLE artist (Famous_Release_date VARCHAR, Age VARCHAR)
|
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3,
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] |
Please show the categories of the music festivals and the count.
|
SELECT Category, COUNT(*) FROM music_festival GROUP BY Category
|
CREATE TABLE music_festival (Category VARCHAR)
|
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What is the most common result of the music festival?
|
SELECT RESULT FROM music_festival GROUP BY RESULT ORDER BY COUNT(*) DESC LIMIT 1
|
CREATE TABLE music_festival (RESULT VARCHAR)
|
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] |
Please show the categories of the music festivals with count more than 1.
|
SELECT Category FROM music_festival GROUP BY Category HAVING COUNT(*) > 1
|
CREATE TABLE music_festival (Category VARCHAR)
|
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What is the song in the volume with the maximum weeks on top?
|
SELECT Song FROM volume ORDER BY Weeks_on_Top DESC LIMIT 1
|
CREATE TABLE volume (Song VARCHAR, Weeks_on_Top VARCHAR)
|
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Find the famous titles of artists that do not have any volume.
|
SELECT Famous_Title FROM artist WHERE NOT Artist_ID IN (SELECT Artist_ID FROM volume)
|
CREATE TABLE volume (Famous_Title VARCHAR, Artist_ID VARCHAR); CREATE TABLE artist (Famous_Title VARCHAR, Artist_ID VARCHAR)
|
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] |
Show the famous titles of the artists with both volumes that lasted more than 2 weeks on top and volumes that lasted less than 2 weeks on top.
|
SELECT T1.Famous_Title FROM artist AS T1 JOIN volume AS T2 ON T1.Artist_ID = T2.Artist_ID WHERE T2.Weeks_on_Top > 2 INTERSECT SELECT T1.Famous_Title FROM artist AS T1 JOIN volume AS T2 ON T1.Artist_ID = T2.Artist_ID WHERE T2.Weeks_on_Top < 2
|
CREATE TABLE artist (Famous_Title VARCHAR, Artist_ID VARCHAR); CREATE TABLE volume (Artist_ID VARCHAR, Weeks_on_Top INTEGER)
|
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What are the date of ceremony of music festivals with category "Best Song" and result "Awarded"?
|
SELECT Date_of_ceremony FROM music_festival WHERE Category = "Best Song" AND RESULT = "Awarded"
|
CREATE TABLE music_festival (Date_of_ceremony VARCHAR, Category VARCHAR, RESULT VARCHAR)
|
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What is the issue date of the volume with the minimum weeks on top?
|
SELECT Issue_Date FROM volume ORDER BY Weeks_on_Top LIMIT 1
|
CREATE TABLE volume (Issue_Date VARCHAR, Weeks_on_Top VARCHAR)
|
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] |
Please show the results of music festivals and the number of music festivals that have had each, ordered by this count.
|
SELECT RESULT, COUNT(*) FROM music_festival GROUP BY RESULT ORDER BY COUNT(*) DESC
|
CREATE TABLE music_festival (RESULT VARCHAR)
|
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] |
What are the issue dates of volumes associated with the artist aged 23 or younger?
|
SELECT Issue_Date FROM artist AS T1 JOIN volume AS T2 ON T1.Artist_ID = T2.Artist_ID WHERE T1.age <= 23
|
CREATE TABLE volume (Artist_ID VARCHAR); CREATE TABLE artist (Artist_ID VARCHAR, age VARCHAR)
|
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List the names of roller coasters by ascending order of length.
|
SELECT Name FROM roller_coaster ORDER BY LENGTH
|
CREATE TABLE roller_coaster (Name VARCHAR, LENGTH VARCHAR)
|
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3,
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] |
What are the lengths and heights of roller coasters?
|
SELECT LENGTH, Height FROM roller_coaster
|
CREATE TABLE roller_coaster (LENGTH VARCHAR, Height VARCHAR)
|
[
32100,
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List the names of countries whose language is not "German".
|
SELECT Name FROM country WHERE Languages <> "German"
|
CREATE TABLE country (Name VARCHAR, Languages VARCHAR)
|
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] |
Show the statuses of roller coasters longer than 3300 or higher than 100.
|
SELECT Status FROM roller_coaster WHERE LENGTH > 3300 OR Height > 100
|
CREATE TABLE roller_coaster (Status VARCHAR, LENGTH VARCHAR, Height VARCHAR)
|
[
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] |
What are the speeds of the longest roller coaster?
|
SELECT Speed FROM roller_coaster ORDER BY LENGTH DESC LIMIT 1
|
CREATE TABLE roller_coaster (Speed VARCHAR, LENGTH VARCHAR)
|
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[
3,
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9913,
21680,
10866,
834,
25500,
49,
4674,
11300,
272,
476,
301,
23182,
4611,
309,
25067,
8729,
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-100,
-100,
-100
] |
What is the average speed of roller coasters?
|
SELECT AVG(Speed) FROM roller_coaster
|
CREATE TABLE roller_coaster (Speed INTEGER)
|
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32100,
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[
3,
23143,
14196,
71,
17217,
599,
28328,
61,
21680,
10866,
834,
25500,
49,
1,
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-100
] |
Show the different statuses and the numbers of roller coasters for each status.
|
SELECT Status, COUNT(*) FROM roller_coaster GROUP BY Status
|
CREATE TABLE roller_coaster (Status VARCHAR)
|
[
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
10866,
834,
25500,
49,
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Please show the most common status of roller coasters.
|
SELECT Status FROM roller_coaster GROUP BY Status ORDER BY COUNT(*) DESC LIMIT 1
|
CREATE TABLE roller_coaster (Status VARCHAR)
|
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] |
List the status shared by more than two roller coaster.
|
SELECT Status FROM roller_coaster GROUP BY Status HAVING COUNT(*) > 2
|
CREATE TABLE roller_coaster (Status VARCHAR)
|
[
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Show the park of the roller coaster with the highest speed.
|
SELECT Park FROM roller_coaster ORDER BY Speed DESC LIMIT 1
|
CREATE TABLE roller_coaster (Park VARCHAR, Speed VARCHAR)
|
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Show the names of roller coasters and names of country they are in.
|
SELECT T2.Name, T1.Name FROM country AS T1 JOIN roller_coaster AS T2 ON T1.Country_ID = T2.Country_ID
|
CREATE TABLE country (Name VARCHAR, Country_ID VARCHAR); CREATE TABLE roller_coaster (Name VARCHAR, Country_ID VARCHAR)
|
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] |
Show the names of countries that have more than one roller coaster.
|
SELECT T1.Name FROM country AS T1 JOIN roller_coaster AS T2 ON T1.Country_ID = T2.Country_ID GROUP BY T1.Name HAVING COUNT(*) > 1
|
CREATE TABLE roller_coaster (Country_ID VARCHAR); CREATE TABLE country (Name VARCHAR, Country_ID VARCHAR)
|
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Show the name and population of the country that has the highest roller coaster.
|
SELECT T1.Name, T1.population FROM country AS T1 JOIN roller_coaster AS T2 ON T1.Country_ID = T2.Country_ID ORDER BY T2.Height DESC LIMIT 1
|
CREATE TABLE roller_coaster (Country_ID VARCHAR, Height VARCHAR); CREATE TABLE country (Name VARCHAR, population VARCHAR, Country_ID VARCHAR)
|
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] |
Show the names of countries and the average speed of roller coasters from each country.
|
SELECT T1.Name, AVG(T2.Speed) FROM country AS T1 JOIN roller_coaster AS T2 ON T1.Country_ID = T2.Country_ID GROUP BY T1.Name
|
CREATE TABLE roller_coaster (Speed INTEGER, Country_ID VARCHAR); CREATE TABLE country (Name VARCHAR, Country_ID VARCHAR)
|
[
32100,
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3,
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332,
5411,
23954,
6,
71,
17217,
599,
382,
4416,
28328,
61,
21680,
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4309,
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4416,
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-100,
-100,
-100,
-100,
-100,
-100
] |
How many countries do not have an roller coaster longer than 3000?
|
SELECT COUNT(*) FROM country WHERE NOT country_id IN (SELECT country_id FROM roller_coaster WHERE LENGTH > 3000)
|
CREATE TABLE country (country_id VARCHAR, LENGTH INTEGER); CREATE TABLE roller_coaster (country_id VARCHAR, LENGTH INTEGER)
|
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2847,
17161,
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1935,
61,
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684,
549,
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427,
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-100,
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-100,
-100,
-100,
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-100,
-100,
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-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100
] |
What are the country names, area and population which has both roller coasters with speed higher
|
SELECT T1.name, T1.area, T1.population FROM country AS T1 JOIN roller_coaster AS T2 ON T1.Country_ID = T2.Country_ID WHERE T2.speed > 60 INTERSECT SELECT T1.name, T1.area, T1.population FROM country AS T1 JOIN roller_coaster AS T2 ON T1.Country_ID = T2.Country_ID WHERE T2.speed < 55
|
CREATE TABLE country (name VARCHAR, area VARCHAR, population VARCHAR, Country_ID VARCHAR); CREATE TABLE roller_coaster (Country_ID VARCHAR, speed INTEGER)
|
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32100,
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684,
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3,
23143,
14196,
332,
5411,
4350,
6,
332,
5411,
498,
6,
332,
5411,
9791,
7830,
21680,
684,
6157,
332,
536,
3,
15355,
3162,
10866,
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332,
357,
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332,
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4416,
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] |
How many different captain ranks are there?
|
SELECT COUNT(DISTINCT rank) FROM captain
|
CREATE TABLE captain (rank VARCHAR)
|
[
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
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61,
3,
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] |
How many captains are in each rank?
|
SELECT COUNT(*), rank FROM captain GROUP BY rank
|
CREATE TABLE captain (rank VARCHAR)
|
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] |
How many captains with younger than 50 are in each rank?
|
SELECT COUNT(*), rank FROM captain WHERE age < 50 GROUP BY rank
|
CREATE TABLE captain (rank VARCHAR, age INTEGER)
|
[
32100,
32106,
32105,
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Sort all captain names by their ages from old to young.
|
SELECT name FROM captain ORDER BY age DESC
|
CREATE TABLE captain (name VARCHAR, age VARCHAR)
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Find the name, class and rank of all captains.
|
SELECT name, CLASS, rank FROM captain
|
CREATE TABLE captain (name VARCHAR, CLASS VARCHAR, rank VARCHAR)
|
[
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Which rank is the most common among captains?
|
SELECT rank FROM captain GROUP BY rank ORDER BY COUNT(*) DESC LIMIT 1
|
CREATE TABLE captain (rank VARCHAR)
|
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] |
Which classes have more than two captains?
|
SELECT CLASS FROM captain GROUP BY CLASS HAVING COUNT(*) > 2
|
CREATE TABLE captain (CLASS VARCHAR)
|
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] |
Find the name of captains whose rank are either Midshipman or Lieutenant.
|
SELECT name FROM captain WHERE rank = 'Midshipman' OR rank = 'Lieutenant'
|
CREATE TABLE captain (name VARCHAR, rank VARCHAR)
|
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