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Show the customer ids and firstname without a credit card. | Accounts: account_id (INTEGER), customer_id (INTEGER), account_name (VARCHAR(50)), other_account_details (VARCHAR(255))
Customers: customer_id (INTEGER), customer_first_name (VARCHAR(20)), customer_last_name (VARCHAR(20)), customer_address (VARCHAR(255)), customer_phone (VARCHAR(255)), customer_email (VARCHAR(255)), other_customer_details (VARCHAR(255))
Customers_Cards: card_id (INTEGER), customer_id (INTEGER), card_type_code (VARCHAR(15)), card_number (VARCHAR(80)), date_valid_from (DATETIME), date_valid_to (DATETIME), other_card_details (VARCHAR(255))
Financial_Transactions: transaction_id (INTEGER), previous_transaction_id (INTEGER), account_id (INTEGER), card_id (INTEGER), transaction_type (VARCHAR(15)), transaction_date (DATETIME), transaction_amount (DOUBLE), transaction_comment (VARCHAR(255)), other_transaction_details (VARCHAR(255)) | SELECT customer_id , customer_first_name FROM Customers EXCEPT SELECT T1.customer_id , T2.customer_first_name FROM Customers_cards AS T1 JOIN Customers AS T2 ON T1.customer_id = T2.customer_id WHERE card_type_code = "Credit" |
What are the ids and first names of customers who do not hold a credit card? | Accounts: account_id (INTEGER), customer_id (INTEGER), account_name (VARCHAR(50)), other_account_details (VARCHAR(255))
Customers: customer_id (INTEGER), customer_first_name (VARCHAR(20)), customer_last_name (VARCHAR(20)), customer_address (VARCHAR(255)), customer_phone (VARCHAR(255)), customer_email (VARCHAR(255)), other_customer_details (VARCHAR(255))
Customers_Cards: card_id (INTEGER), customer_id (INTEGER), card_type_code (VARCHAR(15)), card_number (VARCHAR(80)), date_valid_from (DATETIME), date_valid_to (DATETIME), other_card_details (VARCHAR(255))
Financial_Transactions: transaction_id (INTEGER), previous_transaction_id (INTEGER), account_id (INTEGER), card_id (INTEGER), transaction_type (VARCHAR(15)), transaction_date (DATETIME), transaction_amount (DOUBLE), transaction_comment (VARCHAR(255)), other_transaction_details (VARCHAR(255)) | SELECT customer_id , customer_first_name FROM Customers EXCEPT SELECT T1.customer_id , T2.customer_first_name FROM Customers_cards AS T1 JOIN Customers AS T2 ON T1.customer_id = T2.customer_id WHERE card_type_code = "Credit" |
Show all card type codes. | Accounts: account_id (INTEGER), customer_id (INTEGER), account_name (VARCHAR(50)), other_account_details (VARCHAR(255))
Customers: customer_id (INTEGER), customer_first_name (VARCHAR(20)), customer_last_name (VARCHAR(20)), customer_address (VARCHAR(255)), customer_phone (VARCHAR(255)), customer_email (VARCHAR(255)), other_customer_details (VARCHAR(255))
Customers_Cards: card_id (INTEGER), customer_id (INTEGER), card_type_code (VARCHAR(15)), card_number (VARCHAR(80)), date_valid_from (DATETIME), date_valid_to (DATETIME), other_card_details (VARCHAR(255))
Financial_Transactions: transaction_id (INTEGER), previous_transaction_id (INTEGER), account_id (INTEGER), card_id (INTEGER), transaction_type (VARCHAR(15)), transaction_date (DATETIME), transaction_amount (DOUBLE), transaction_comment (VARCHAR(255)), other_transaction_details (VARCHAR(255)) | SELECT DISTINCT card_type_code FROM Customers_Cards |
What are the different card type codes? | Accounts: account_id (INTEGER), customer_id (INTEGER), account_name (VARCHAR(50)), other_account_details (VARCHAR(255))
Customers: customer_id (INTEGER), customer_first_name (VARCHAR(20)), customer_last_name (VARCHAR(20)), customer_address (VARCHAR(255)), customer_phone (VARCHAR(255)), customer_email (VARCHAR(255)), other_customer_details (VARCHAR(255))
Customers_Cards: card_id (INTEGER), customer_id (INTEGER), card_type_code (VARCHAR(15)), card_number (VARCHAR(80)), date_valid_from (DATETIME), date_valid_to (DATETIME), other_card_details (VARCHAR(255))
Financial_Transactions: transaction_id (INTEGER), previous_transaction_id (INTEGER), account_id (INTEGER), card_id (INTEGER), transaction_type (VARCHAR(15)), transaction_date (DATETIME), transaction_amount (DOUBLE), transaction_comment (VARCHAR(255)), other_transaction_details (VARCHAR(255)) | SELECT DISTINCT card_type_code FROM Customers_Cards |
Show the number of card types. | Accounts: account_id (INTEGER), customer_id (INTEGER), account_name (VARCHAR(50)), other_account_details (VARCHAR(255))
Customers: customer_id (INTEGER), customer_first_name (VARCHAR(20)), customer_last_name (VARCHAR(20)), customer_address (VARCHAR(255)), customer_phone (VARCHAR(255)), customer_email (VARCHAR(255)), other_customer_details (VARCHAR(255))
Customers_Cards: card_id (INTEGER), customer_id (INTEGER), card_type_code (VARCHAR(15)), card_number (VARCHAR(80)), date_valid_from (DATETIME), date_valid_to (DATETIME), other_card_details (VARCHAR(255))
Financial_Transactions: transaction_id (INTEGER), previous_transaction_id (INTEGER), account_id (INTEGER), card_id (INTEGER), transaction_type (VARCHAR(15)), transaction_date (DATETIME), transaction_amount (DOUBLE), transaction_comment (VARCHAR(255)), other_transaction_details (VARCHAR(255)) | SELECT count(DISTINCT card_type_code) FROM Customers_Cards |
How many different card types are there? | Accounts: account_id (INTEGER), customer_id (INTEGER), account_name (VARCHAR(50)), other_account_details (VARCHAR(255))
Customers: customer_id (INTEGER), customer_first_name (VARCHAR(20)), customer_last_name (VARCHAR(20)), customer_address (VARCHAR(255)), customer_phone (VARCHAR(255)), customer_email (VARCHAR(255)), other_customer_details (VARCHAR(255))
Customers_Cards: card_id (INTEGER), customer_id (INTEGER), card_type_code (VARCHAR(15)), card_number (VARCHAR(80)), date_valid_from (DATETIME), date_valid_to (DATETIME), other_card_details (VARCHAR(255))
Financial_Transactions: transaction_id (INTEGER), previous_transaction_id (INTEGER), account_id (INTEGER), card_id (INTEGER), transaction_type (VARCHAR(15)), transaction_date (DATETIME), transaction_amount (DOUBLE), transaction_comment (VARCHAR(255)), other_transaction_details (VARCHAR(255)) | SELECT count(DISTINCT card_type_code) FROM Customers_Cards |
Show all transaction types. | Accounts: account_id (INTEGER), customer_id (INTEGER), account_name (VARCHAR(50)), other_account_details (VARCHAR(255))
Customers: customer_id (INTEGER), customer_first_name (VARCHAR(20)), customer_last_name (VARCHAR(20)), customer_address (VARCHAR(255)), customer_phone (VARCHAR(255)), customer_email (VARCHAR(255)), other_customer_details (VARCHAR(255))
Customers_Cards: card_id (INTEGER), customer_id (INTEGER), card_type_code (VARCHAR(15)), card_number (VARCHAR(80)), date_valid_from (DATETIME), date_valid_to (DATETIME), other_card_details (VARCHAR(255))
Financial_Transactions: transaction_id (INTEGER), previous_transaction_id (INTEGER), account_id (INTEGER), card_id (INTEGER), transaction_type (VARCHAR(15)), transaction_date (DATETIME), transaction_amount (DOUBLE), transaction_comment (VARCHAR(255)), other_transaction_details (VARCHAR(255)) | SELECT DISTINCT transaction_type FROM Financial_Transactions |
What are the different types of transactions? | Accounts: account_id (INTEGER), customer_id (INTEGER), account_name (VARCHAR(50)), other_account_details (VARCHAR(255))
Customers: customer_id (INTEGER), customer_first_name (VARCHAR(20)), customer_last_name (VARCHAR(20)), customer_address (VARCHAR(255)), customer_phone (VARCHAR(255)), customer_email (VARCHAR(255)), other_customer_details (VARCHAR(255))
Customers_Cards: card_id (INTEGER), customer_id (INTEGER), card_type_code (VARCHAR(15)), card_number (VARCHAR(80)), date_valid_from (DATETIME), date_valid_to (DATETIME), other_card_details (VARCHAR(255))
Financial_Transactions: transaction_id (INTEGER), previous_transaction_id (INTEGER), account_id (INTEGER), card_id (INTEGER), transaction_type (VARCHAR(15)), transaction_date (DATETIME), transaction_amount (DOUBLE), transaction_comment (VARCHAR(255)), other_transaction_details (VARCHAR(255)) | SELECT DISTINCT transaction_type FROM Financial_Transactions |
Show the number of transaction types. | Accounts: account_id (INTEGER), customer_id (INTEGER), account_name (VARCHAR(50)), other_account_details (VARCHAR(255))
Customers: customer_id (INTEGER), customer_first_name (VARCHAR(20)), customer_last_name (VARCHAR(20)), customer_address (VARCHAR(255)), customer_phone (VARCHAR(255)), customer_email (VARCHAR(255)), other_customer_details (VARCHAR(255))
Customers_Cards: card_id (INTEGER), customer_id (INTEGER), card_type_code (VARCHAR(15)), card_number (VARCHAR(80)), date_valid_from (DATETIME), date_valid_to (DATETIME), other_card_details (VARCHAR(255))
Financial_Transactions: transaction_id (INTEGER), previous_transaction_id (INTEGER), account_id (INTEGER), card_id (INTEGER), transaction_type (VARCHAR(15)), transaction_date (DATETIME), transaction_amount (DOUBLE), transaction_comment (VARCHAR(255)), other_transaction_details (VARCHAR(255)) | SELECT count(DISTINCT transaction_type) FROM Financial_Transactions |
How many different types of transactions are there? | Accounts: account_id (INTEGER), customer_id (INTEGER), account_name (VARCHAR(50)), other_account_details (VARCHAR(255))
Customers: customer_id (INTEGER), customer_first_name (VARCHAR(20)), customer_last_name (VARCHAR(20)), customer_address (VARCHAR(255)), customer_phone (VARCHAR(255)), customer_email (VARCHAR(255)), other_customer_details (VARCHAR(255))
Customers_Cards: card_id (INTEGER), customer_id (INTEGER), card_type_code (VARCHAR(15)), card_number (VARCHAR(80)), date_valid_from (DATETIME), date_valid_to (DATETIME), other_card_details (VARCHAR(255))
Financial_Transactions: transaction_id (INTEGER), previous_transaction_id (INTEGER), account_id (INTEGER), card_id (INTEGER), transaction_type (VARCHAR(15)), transaction_date (DATETIME), transaction_amount (DOUBLE), transaction_comment (VARCHAR(255)), other_transaction_details (VARCHAR(255)) | SELECT count(DISTINCT transaction_type) FROM Financial_Transactions |
What is the average and total transaction amount? | Accounts: account_id (INTEGER), customer_id (INTEGER), account_name (VARCHAR(50)), other_account_details (VARCHAR(255))
Customers: customer_id (INTEGER), customer_first_name (VARCHAR(20)), customer_last_name (VARCHAR(20)), customer_address (VARCHAR(255)), customer_phone (VARCHAR(255)), customer_email (VARCHAR(255)), other_customer_details (VARCHAR(255))
Customers_Cards: card_id (INTEGER), customer_id (INTEGER), card_type_code (VARCHAR(15)), card_number (VARCHAR(80)), date_valid_from (DATETIME), date_valid_to (DATETIME), other_card_details (VARCHAR(255))
Financial_Transactions: transaction_id (INTEGER), previous_transaction_id (INTEGER), account_id (INTEGER), card_id (INTEGER), transaction_type (VARCHAR(15)), transaction_date (DATETIME), transaction_amount (DOUBLE), transaction_comment (VARCHAR(255)), other_transaction_details (VARCHAR(255)) | SELECT avg(transaction_amount) , sum(transaction_amount) FROM Financial_transactions |
Return the average transaction amount, as well as the total amount of all transactions. | Accounts: account_id (INTEGER), customer_id (INTEGER), account_name (VARCHAR(50)), other_account_details (VARCHAR(255))
Customers: customer_id (INTEGER), customer_first_name (VARCHAR(20)), customer_last_name (VARCHAR(20)), customer_address (VARCHAR(255)), customer_phone (VARCHAR(255)), customer_email (VARCHAR(255)), other_customer_details (VARCHAR(255))
Customers_Cards: card_id (INTEGER), customer_id (INTEGER), card_type_code (VARCHAR(15)), card_number (VARCHAR(80)), date_valid_from (DATETIME), date_valid_to (DATETIME), other_card_details (VARCHAR(255))
Financial_Transactions: transaction_id (INTEGER), previous_transaction_id (INTEGER), account_id (INTEGER), card_id (INTEGER), transaction_type (VARCHAR(15)), transaction_date (DATETIME), transaction_amount (DOUBLE), transaction_comment (VARCHAR(255)), other_transaction_details (VARCHAR(255)) | SELECT avg(transaction_amount) , sum(transaction_amount) FROM Financial_transactions |
Show the card type codes and the number of transactions. | Accounts: account_id (INTEGER), customer_id (INTEGER), account_name (VARCHAR(50)), other_account_details (VARCHAR(255))
Customers: customer_id (INTEGER), customer_first_name (VARCHAR(20)), customer_last_name (VARCHAR(20)), customer_address (VARCHAR(255)), customer_phone (VARCHAR(255)), customer_email (VARCHAR(255)), other_customer_details (VARCHAR(255))
Customers_Cards: card_id (INTEGER), customer_id (INTEGER), card_type_code (VARCHAR(15)), card_number (VARCHAR(80)), date_valid_from (DATETIME), date_valid_to (DATETIME), other_card_details (VARCHAR(255))
Financial_Transactions: transaction_id (INTEGER), previous_transaction_id (INTEGER), account_id (INTEGER), card_id (INTEGER), transaction_type (VARCHAR(15)), transaction_date (DATETIME), transaction_amount (DOUBLE), transaction_comment (VARCHAR(255)), other_transaction_details (VARCHAR(255)) | SELECT T2.card_type_code , count(*) FROM Financial_transactions AS T1 JOIN Customers_cards AS T2 ON T1.card_id = T2.card_id GROUP BY T2.card_type_code |
What are the different card types, and how many transactions have been made with each? | Accounts: account_id (INTEGER), customer_id (INTEGER), account_name (VARCHAR(50)), other_account_details (VARCHAR(255))
Customers: customer_id (INTEGER), customer_first_name (VARCHAR(20)), customer_last_name (VARCHAR(20)), customer_address (VARCHAR(255)), customer_phone (VARCHAR(255)), customer_email (VARCHAR(255)), other_customer_details (VARCHAR(255))
Customers_Cards: card_id (INTEGER), customer_id (INTEGER), card_type_code (VARCHAR(15)), card_number (VARCHAR(80)), date_valid_from (DATETIME), date_valid_to (DATETIME), other_card_details (VARCHAR(255))
Financial_Transactions: transaction_id (INTEGER), previous_transaction_id (INTEGER), account_id (INTEGER), card_id (INTEGER), transaction_type (VARCHAR(15)), transaction_date (DATETIME), transaction_amount (DOUBLE), transaction_comment (VARCHAR(255)), other_transaction_details (VARCHAR(255)) | SELECT T2.card_type_code , count(*) FROM Financial_transactions AS T1 JOIN Customers_cards AS T2 ON T1.card_id = T2.card_id GROUP BY T2.card_type_code |
Show the transaction type and the number of transactions. | Accounts: account_id (INTEGER), customer_id (INTEGER), account_name (VARCHAR(50)), other_account_details (VARCHAR(255))
Customers: customer_id (INTEGER), customer_first_name (VARCHAR(20)), customer_last_name (VARCHAR(20)), customer_address (VARCHAR(255)), customer_phone (VARCHAR(255)), customer_email (VARCHAR(255)), other_customer_details (VARCHAR(255))
Customers_Cards: card_id (INTEGER), customer_id (INTEGER), card_type_code (VARCHAR(15)), card_number (VARCHAR(80)), date_valid_from (DATETIME), date_valid_to (DATETIME), other_card_details (VARCHAR(255))
Financial_Transactions: transaction_id (INTEGER), previous_transaction_id (INTEGER), account_id (INTEGER), card_id (INTEGER), transaction_type (VARCHAR(15)), transaction_date (DATETIME), transaction_amount (DOUBLE), transaction_comment (VARCHAR(255)), other_transaction_details (VARCHAR(255)) | SELECT transaction_type , count(*) FROM Financial_transactions GROUP BY transaction_type |
What are the different transaction types, and how many transactions of each have taken place? | Accounts: account_id (INTEGER), customer_id (INTEGER), account_name (VARCHAR(50)), other_account_details (VARCHAR(255))
Customers: customer_id (INTEGER), customer_first_name (VARCHAR(20)), customer_last_name (VARCHAR(20)), customer_address (VARCHAR(255)), customer_phone (VARCHAR(255)), customer_email (VARCHAR(255)), other_customer_details (VARCHAR(255))
Customers_Cards: card_id (INTEGER), customer_id (INTEGER), card_type_code (VARCHAR(15)), card_number (VARCHAR(80)), date_valid_from (DATETIME), date_valid_to (DATETIME), other_card_details (VARCHAR(255))
Financial_Transactions: transaction_id (INTEGER), previous_transaction_id (INTEGER), account_id (INTEGER), card_id (INTEGER), transaction_type (VARCHAR(15)), transaction_date (DATETIME), transaction_amount (DOUBLE), transaction_comment (VARCHAR(255)), other_transaction_details (VARCHAR(255)) | SELECT transaction_type , count(*) FROM Financial_transactions GROUP BY transaction_type |
What is the transaction type that has processed the greatest total amount in transactions? | Accounts: account_id (INTEGER), customer_id (INTEGER), account_name (VARCHAR(50)), other_account_details (VARCHAR(255))
Customers: customer_id (INTEGER), customer_first_name (VARCHAR(20)), customer_last_name (VARCHAR(20)), customer_address (VARCHAR(255)), customer_phone (VARCHAR(255)), customer_email (VARCHAR(255)), other_customer_details (VARCHAR(255))
Customers_Cards: card_id (INTEGER), customer_id (INTEGER), card_type_code (VARCHAR(15)), card_number (VARCHAR(80)), date_valid_from (DATETIME), date_valid_to (DATETIME), other_card_details (VARCHAR(255))
Financial_Transactions: transaction_id (INTEGER), previous_transaction_id (INTEGER), account_id (INTEGER), card_id (INTEGER), transaction_type (VARCHAR(15)), transaction_date (DATETIME), transaction_amount (DOUBLE), transaction_comment (VARCHAR(255)), other_transaction_details (VARCHAR(255)) | SELECT transaction_type FROM Financial_transactions GROUP BY transaction_type ORDER BY sum(transaction_amount) DESC LIMIT 1 |
Return the type of transaction with the highest total amount. | Accounts: account_id (INTEGER), customer_id (INTEGER), account_name (VARCHAR(50)), other_account_details (VARCHAR(255))
Customers: customer_id (INTEGER), customer_first_name (VARCHAR(20)), customer_last_name (VARCHAR(20)), customer_address (VARCHAR(255)), customer_phone (VARCHAR(255)), customer_email (VARCHAR(255)), other_customer_details (VARCHAR(255))
Customers_Cards: card_id (INTEGER), customer_id (INTEGER), card_type_code (VARCHAR(15)), card_number (VARCHAR(80)), date_valid_from (DATETIME), date_valid_to (DATETIME), other_card_details (VARCHAR(255))
Financial_Transactions: transaction_id (INTEGER), previous_transaction_id (INTEGER), account_id (INTEGER), card_id (INTEGER), transaction_type (VARCHAR(15)), transaction_date (DATETIME), transaction_amount (DOUBLE), transaction_comment (VARCHAR(255)), other_transaction_details (VARCHAR(255)) | SELECT transaction_type FROM Financial_transactions GROUP BY transaction_type ORDER BY sum(transaction_amount) DESC LIMIT 1 |
Show the account id and the number of transactions for each account | Accounts: account_id (INTEGER), customer_id (INTEGER), account_name (VARCHAR(50)), other_account_details (VARCHAR(255))
Customers: customer_id (INTEGER), customer_first_name (VARCHAR(20)), customer_last_name (VARCHAR(20)), customer_address (VARCHAR(255)), customer_phone (VARCHAR(255)), customer_email (VARCHAR(255)), other_customer_details (VARCHAR(255))
Customers_Cards: card_id (INTEGER), customer_id (INTEGER), card_type_code (VARCHAR(15)), card_number (VARCHAR(80)), date_valid_from (DATETIME), date_valid_to (DATETIME), other_card_details (VARCHAR(255))
Financial_Transactions: transaction_id (INTEGER), previous_transaction_id (INTEGER), account_id (INTEGER), card_id (INTEGER), transaction_type (VARCHAR(15)), transaction_date (DATETIME), transaction_amount (DOUBLE), transaction_comment (VARCHAR(255)), other_transaction_details (VARCHAR(255)) | SELECT account_id , count(*) FROM Financial_transactions GROUP BY account_id |
What are the different account ids that have made financial transactions, as well as how many transactions correspond to each? | Accounts: account_id (INTEGER), customer_id (INTEGER), account_name (VARCHAR(50)), other_account_details (VARCHAR(255))
Customers: customer_id (INTEGER), customer_first_name (VARCHAR(20)), customer_last_name (VARCHAR(20)), customer_address (VARCHAR(255)), customer_phone (VARCHAR(255)), customer_email (VARCHAR(255)), other_customer_details (VARCHAR(255))
Customers_Cards: card_id (INTEGER), customer_id (INTEGER), card_type_code (VARCHAR(15)), card_number (VARCHAR(80)), date_valid_from (DATETIME), date_valid_to (DATETIME), other_card_details (VARCHAR(255))
Financial_Transactions: transaction_id (INTEGER), previous_transaction_id (INTEGER), account_id (INTEGER), card_id (INTEGER), transaction_type (VARCHAR(15)), transaction_date (DATETIME), transaction_amount (DOUBLE), transaction_comment (VARCHAR(255)), other_transaction_details (VARCHAR(255)) | SELECT account_id , count(*) FROM Financial_transactions GROUP BY account_id |
How many tracks do we have? | race: Race_ID (INT), Name (TEXT), Class (TEXT), Date (TEXT), Track_ID (TEXT)
track: Track_ID (INT), Name (TEXT), Location (TEXT), Seating (REAL), Year_Opened (REAL) | SELECT count(*) FROM track |
Count the number of tracks. | race: Race_ID (INT), Name (TEXT), Class (TEXT), Date (TEXT), Track_ID (TEXT)
track: Track_ID (INT), Name (TEXT), Location (TEXT), Seating (REAL), Year_Opened (REAL) | SELECT count(*) FROM track |
Show the name and location for all tracks. | race: Race_ID (INT), Name (TEXT), Class (TEXT), Date (TEXT), Track_ID (TEXT)
track: Track_ID (INT), Name (TEXT), Location (TEXT), Seating (REAL), Year_Opened (REAL) | SELECT name , LOCATION FROM track |
What are the names and locations of all tracks? | race: Race_ID (INT), Name (TEXT), Class (TEXT), Date (TEXT), Track_ID (TEXT)
track: Track_ID (INT), Name (TEXT), Location (TEXT), Seating (REAL), Year_Opened (REAL) | SELECT name , LOCATION FROM track |
Show names and seatings, ordered by seating for all tracks opened after 2000. | race: Race_ID (INT), Name (TEXT), Class (TEXT), Date (TEXT), Track_ID (TEXT)
track: Track_ID (INT), Name (TEXT), Location (TEXT), Seating (REAL), Year_Opened (REAL) | SELECT name , seating FROM track WHERE year_opened > 2000 ORDER BY seating |
What are the names and seatings for all tracks opened after 2000, ordered by seating? | race: Race_ID (INT), Name (TEXT), Class (TEXT), Date (TEXT), Track_ID (TEXT)
track: Track_ID (INT), Name (TEXT), Location (TEXT), Seating (REAL), Year_Opened (REAL) | SELECT name , seating FROM track WHERE year_opened > 2000 ORDER BY seating |
What is the name, location and seating for the most recently opened track? | race: Race_ID (INT), Name (TEXT), Class (TEXT), Date (TEXT), Track_ID (TEXT)
track: Track_ID (INT), Name (TEXT), Location (TEXT), Seating (REAL), Year_Opened (REAL) | SELECT name , LOCATION , seating FROM track ORDER BY year_opened DESC LIMIT 1 |
Return the name, location, and seating of the track that was opened in the most recent year. | race: Race_ID (INT), Name (TEXT), Class (TEXT), Date (TEXT), Track_ID (TEXT)
track: Track_ID (INT), Name (TEXT), Location (TEXT), Seating (REAL), Year_Opened (REAL) | SELECT name , LOCATION , seating FROM track ORDER BY year_opened DESC LIMIT 1 |
What is the minimum, maximum, and average seating for all tracks. | race: Race_ID (INT), Name (TEXT), Class (TEXT), Date (TEXT), Track_ID (TEXT)
track: Track_ID (INT), Name (TEXT), Location (TEXT), Seating (REAL), Year_Opened (REAL) | SELECT min(seating) , max(seating) , avg(seating) FROM track |
Return the minimum, maximum, and average seating across all tracks. | race: Race_ID (INT), Name (TEXT), Class (TEXT), Date (TEXT), Track_ID (TEXT)
track: Track_ID (INT), Name (TEXT), Location (TEXT), Seating (REAL), Year_Opened (REAL) | SELECT min(seating) , max(seating) , avg(seating) FROM track |
Show the name, location, open year for all tracks with a seating higher than the average. | race: Race_ID (INT), Name (TEXT), Class (TEXT), Date (TEXT), Track_ID (TEXT)
track: Track_ID (INT), Name (TEXT), Location (TEXT), Seating (REAL), Year_Opened (REAL) | SELECT name , LOCATION , year_opened FROM track WHERE seating > (SELECT avg(seating) FROM track) |
What are the names, locations, and years of opening for tracks with seating higher than average? | race: Race_ID (INT), Name (TEXT), Class (TEXT), Date (TEXT), Track_ID (TEXT)
track: Track_ID (INT), Name (TEXT), Location (TEXT), Seating (REAL), Year_Opened (REAL) | SELECT name , LOCATION , year_opened FROM track WHERE seating > (SELECT avg(seating) FROM track) |
What are distinct locations where tracks are located? | race: Race_ID (INT), Name (TEXT), Class (TEXT), Date (TEXT), Track_ID (TEXT)
track: Track_ID (INT), Name (TEXT), Location (TEXT), Seating (REAL), Year_Opened (REAL) | SELECT DISTINCT LOCATION FROM track |
Give the different locations of tracks. | race: Race_ID (INT), Name (TEXT), Class (TEXT), Date (TEXT), Track_ID (TEXT)
track: Track_ID (INT), Name (TEXT), Location (TEXT), Seating (REAL), Year_Opened (REAL) | SELECT DISTINCT LOCATION FROM track |
How many races are there? | race: Race_ID (INT), Name (TEXT), Class (TEXT), Date (TEXT), Track_ID (TEXT)
track: Track_ID (INT), Name (TEXT), Location (TEXT), Seating (REAL), Year_Opened (REAL) | SELECT count(*) FROM race |
Count the number of races. | race: Race_ID (INT), Name (TEXT), Class (TEXT), Date (TEXT), Track_ID (TEXT)
track: Track_ID (INT), Name (TEXT), Location (TEXT), Seating (REAL), Year_Opened (REAL) | SELECT count(*) FROM race |
What are the distinct classes that races can have? | race: Race_ID (INT), Name (TEXT), Class (TEXT), Date (TEXT), Track_ID (TEXT)
track: Track_ID (INT), Name (TEXT), Location (TEXT), Seating (REAL), Year_Opened (REAL) | SELECT DISTINCT CLASS FROM race |
Return the different classes of races. | race: Race_ID (INT), Name (TEXT), Class (TEXT), Date (TEXT), Track_ID (TEXT)
track: Track_ID (INT), Name (TEXT), Location (TEXT), Seating (REAL), Year_Opened (REAL) | SELECT DISTINCT CLASS FROM race |
Show name, class, and date for all races. | race: Race_ID (INT), Name (TEXT), Class (TEXT), Date (TEXT), Track_ID (TEXT)
track: Track_ID (INT), Name (TEXT), Location (TEXT), Seating (REAL), Year_Opened (REAL) | SELECT name , CLASS , date FROM race |
What are the names, classes, and dates for all races? | race: Race_ID (INT), Name (TEXT), Class (TEXT), Date (TEXT), Track_ID (TEXT)
track: Track_ID (INT), Name (TEXT), Location (TEXT), Seating (REAL), Year_Opened (REAL) | SELECT name , CLASS , date FROM race |
Show the race class and number of races in each class. | race: Race_ID (INT), Name (TEXT), Class (TEXT), Date (TEXT), Track_ID (TEXT)
track: Track_ID (INT), Name (TEXT), Location (TEXT), Seating (REAL), Year_Opened (REAL) | SELECT CLASS , count(*) FROM race GROUP BY CLASS |
What are the different classes of races, and how many races correspond to each? | race: Race_ID (INT), Name (TEXT), Class (TEXT), Date (TEXT), Track_ID (TEXT)
track: Track_ID (INT), Name (TEXT), Location (TEXT), Seating (REAL), Year_Opened (REAL) | SELECT CLASS , count(*) FROM race GROUP BY CLASS |
What is the race class with most number of races. | race: Race_ID (INT), Name (TEXT), Class (TEXT), Date (TEXT), Track_ID (TEXT)
track: Track_ID (INT), Name (TEXT), Location (TEXT), Seating (REAL), Year_Opened (REAL) | SELECT CLASS FROM race GROUP BY CLASS ORDER BY count(*) DESC LIMIT 1 |
Give the class of races that is most common. | race: Race_ID (INT), Name (TEXT), Class (TEXT), Date (TEXT), Track_ID (TEXT)
track: Track_ID (INT), Name (TEXT), Location (TEXT), Seating (REAL), Year_Opened (REAL) | SELECT CLASS FROM race GROUP BY CLASS ORDER BY count(*) DESC LIMIT 1 |
List the race class with at least two races. | race: Race_ID (INT), Name (TEXT), Class (TEXT), Date (TEXT), Track_ID (TEXT)
track: Track_ID (INT), Name (TEXT), Location (TEXT), Seating (REAL), Year_Opened (REAL) | SELECT CLASS FROM race GROUP BY CLASS HAVING count(*) >= 2 |
What are the classes of races that have two or more corresponding races? | race: Race_ID (INT), Name (TEXT), Class (TEXT), Date (TEXT), Track_ID (TEXT)
track: Track_ID (INT), Name (TEXT), Location (TEXT), Seating (REAL), Year_Opened (REAL) | SELECT CLASS FROM race GROUP BY CLASS HAVING count(*) >= 2 |
What are the names for tracks without a race in class 'GT'. | race: Race_ID (INT), Name (TEXT), Class (TEXT), Date (TEXT), Track_ID (TEXT)
track: Track_ID (INT), Name (TEXT), Location (TEXT), Seating (REAL), Year_Opened (REAL) | SELECT name FROM track EXCEPT SELECT T2.name FROM race AS T1 JOIN track AS T2 ON T1.track_id = T2.track_id WHERE T1.class = 'GT' |
Give the names of tracks that do not have a race in the class 'GT'. | race: Race_ID (INT), Name (TEXT), Class (TEXT), Date (TEXT), Track_ID (TEXT)
track: Track_ID (INT), Name (TEXT), Location (TEXT), Seating (REAL), Year_Opened (REAL) | SELECT name FROM track EXCEPT SELECT T2.name FROM race AS T1 JOIN track AS T2 ON T1.track_id = T2.track_id WHERE T1.class = 'GT' |
Show all track names that have had no races. | race: Race_ID (INT), Name (TEXT), Class (TEXT), Date (TEXT), Track_ID (TEXT)
track: Track_ID (INT), Name (TEXT), Location (TEXT), Seating (REAL), Year_Opened (REAL) | SELECT name FROM track WHERE track_id NOT IN (SELECT track_id FROM race) |
Return the names of tracks that have no had any races. | race: Race_ID (INT), Name (TEXT), Class (TEXT), Date (TEXT), Track_ID (TEXT)
track: Track_ID (INT), Name (TEXT), Location (TEXT), Seating (REAL), Year_Opened (REAL) | SELECT name FROM track WHERE track_id NOT IN (SELECT track_id FROM race) |
Show year where a track with a seating at least 5000 opened and a track with seating no more than 4000 opened. | race: Race_ID (INT), Name (TEXT), Class (TEXT), Date (TEXT), Track_ID (TEXT)
track: Track_ID (INT), Name (TEXT), Location (TEXT), Seating (REAL), Year_Opened (REAL) | SELECT year_opened FROM track WHERE seating BETWEEN 4000 AND 5000 |
What are the years of opening for tracks with seating between 4000 and 5000? | race: Race_ID (INT), Name (TEXT), Class (TEXT), Date (TEXT), Track_ID (TEXT)
track: Track_ID (INT), Name (TEXT), Location (TEXT), Seating (REAL), Year_Opened (REAL) | SELECT year_opened FROM track WHERE seating BETWEEN 4000 AND 5000 |
Show the name of track and the number of races in each track. | race: Race_ID (INT), Name (TEXT), Class (TEXT), Date (TEXT), Track_ID (TEXT)
track: Track_ID (INT), Name (TEXT), Location (TEXT), Seating (REAL), Year_Opened (REAL) | SELECT T2.name , count(*) FROM race AS T1 JOIN track AS T2 ON T1.track_id = T2.track_id GROUP BY T1.track_id |
What are the names of different tracks, and how many races has each had? | race: Race_ID (INT), Name (TEXT), Class (TEXT), Date (TEXT), Track_ID (TEXT)
track: Track_ID (INT), Name (TEXT), Location (TEXT), Seating (REAL), Year_Opened (REAL) | SELECT T2.name , count(*) FROM race AS T1 JOIN track AS T2 ON T1.track_id = T2.track_id GROUP BY T1.track_id |
Show the name of track with most number of races. | race: Race_ID (INT), Name (TEXT), Class (TEXT), Date (TEXT), Track_ID (TEXT)
track: Track_ID (INT), Name (TEXT), Location (TEXT), Seating (REAL), Year_Opened (REAL) | SELECT T2.name FROM race AS T1 JOIN track AS T2 ON T1.track_id = T2.track_id GROUP BY T1.track_id ORDER BY count(*) DESC LIMIT 1 |
What is the name of the track that has had the greatest number of races? | race: Race_ID (INT), Name (TEXT), Class (TEXT), Date (TEXT), Track_ID (TEXT)
track: Track_ID (INT), Name (TEXT), Location (TEXT), Seating (REAL), Year_Opened (REAL) | SELECT T2.name FROM race AS T1 JOIN track AS T2 ON T1.track_id = T2.track_id GROUP BY T1.track_id ORDER BY count(*) DESC LIMIT 1 |
Show the name and date for each race and its track name. | race: Race_ID (INT), Name (TEXT), Class (TEXT), Date (TEXT), Track_ID (TEXT)
track: Track_ID (INT), Name (TEXT), Location (TEXT), Seating (REAL), Year_Opened (REAL) | SELECT T1.name , T1.date , T2.name FROM race AS T1 JOIN track AS T2 ON T1.track_id = T2.track_id |
What are the names and dates of races, and the names of the tracks where they are held? | race: Race_ID (INT), Name (TEXT), Class (TEXT), Date (TEXT), Track_ID (TEXT)
track: Track_ID (INT), Name (TEXT), Location (TEXT), Seating (REAL), Year_Opened (REAL) | SELECT T1.name , T1.date , T2.name FROM race AS T1 JOIN track AS T2 ON T1.track_id = T2.track_id |
Show the name and location of track with 1 race. | race: Race_ID (INT), Name (TEXT), Class (TEXT), Date (TEXT), Track_ID (TEXT)
track: Track_ID (INT), Name (TEXT), Location (TEXT), Seating (REAL), Year_Opened (REAL) | SELECT T2.name , T2.location FROM race AS T1 JOIN track AS T2 ON T1.track_id = T2.track_id GROUP BY T1.track_id HAVING count(*) = 1 |
What are the names and locations of tracks that have had exactly 1 race? | race: Race_ID (INT), Name (TEXT), Class (TEXT), Date (TEXT), Track_ID (TEXT)
track: Track_ID (INT), Name (TEXT), Location (TEXT), Seating (REAL), Year_Opened (REAL) | SELECT T2.name , T2.location FROM race AS T1 JOIN track AS T2 ON T1.track_id = T2.track_id GROUP BY T1.track_id HAVING count(*) = 1 |
Find the locations where have both tracks with more than 90000 seats and tracks with less than 70000 seats. | race: Race_ID (INT), Name (TEXT), Class (TEXT), Date (TEXT), Track_ID (TEXT)
track: Track_ID (INT), Name (TEXT), Location (TEXT), Seating (REAL), Year_Opened (REAL) | SELECT LOCATION FROM track WHERE seating > 90000 INTERSECT SELECT LOCATION FROM track WHERE seating < 70000 |
What are the locations that have both tracks with more than 90000 seats, and tracks with fewer than 70000 seats? | race: Race_ID (INT), Name (TEXT), Class (TEXT), Date (TEXT), Track_ID (TEXT)
track: Track_ID (INT), Name (TEXT), Location (TEXT), Seating (REAL), Year_Opened (REAL) | SELECT LOCATION FROM track WHERE seating > 90000 INTERSECT SELECT LOCATION FROM track WHERE seating < 70000 |
How many members have the black membership card? | shop: Shop_ID (INT), Address (TEXT), Num_of_staff (TEXT), Score (REAL), Open_Year (TEXT)
member: Member_ID (INT), Name (TEXT), Membership_card (TEXT), Age (INT), Time_of_purchase (INT), Level_of_membership (INT), Address (TEXT)
happy_hour: HH_ID (INT), Shop_ID (INT), Month (TEXT), Num_of_shaff_in_charge (INT)
happy_hour_member: HH_ID (INT), Member_ID (INT), Total_amount (REAL) | SELECT count(*) FROM member WHERE Membership_card = 'Black' |
Find the number of members living in each address. | shop: Shop_ID (INT), Address (TEXT), Num_of_staff (TEXT), Score (REAL), Open_Year (TEXT)
member: Member_ID (INT), Name (TEXT), Membership_card (TEXT), Age (INT), Time_of_purchase (INT), Level_of_membership (INT), Address (TEXT)
happy_hour: HH_ID (INT), Shop_ID (INT), Month (TEXT), Num_of_shaff_in_charge (INT)
happy_hour_member: HH_ID (INT), Member_ID (INT), Total_amount (REAL) | SELECT count(*) , address FROM member GROUP BY address |
Give me the names of members whose address is in Harford or Waterbury. | shop: Shop_ID (INT), Address (TEXT), Num_of_staff (TEXT), Score (REAL), Open_Year (TEXT)
member: Member_ID (INT), Name (TEXT), Membership_card (TEXT), Age (INT), Time_of_purchase (INT), Level_of_membership (INT), Address (TEXT)
happy_hour: HH_ID (INT), Shop_ID (INT), Month (TEXT), Num_of_shaff_in_charge (INT)
happy_hour_member: HH_ID (INT), Member_ID (INT), Total_amount (REAL) | SELECT name FROM member WHERE address = 'Harford' OR address = 'Waterbury' |
Find the ids and names of members who are under age 30 or with black membership card. | shop: Shop_ID (INT), Address (TEXT), Num_of_staff (TEXT), Score (REAL), Open_Year (TEXT)
member: Member_ID (INT), Name (TEXT), Membership_card (TEXT), Age (INT), Time_of_purchase (INT), Level_of_membership (INT), Address (TEXT)
happy_hour: HH_ID (INT), Shop_ID (INT), Month (TEXT), Num_of_shaff_in_charge (INT)
happy_hour_member: HH_ID (INT), Member_ID (INT), Total_amount (REAL) | SELECT name , member_id FROM member WHERE Membership_card = 'Black' OR age < 30 |
Find the purchase time, age and address of each member, and show the results in the order of purchase time. | shop: Shop_ID (INT), Address (TEXT), Num_of_staff (TEXT), Score (REAL), Open_Year (TEXT)
member: Member_ID (INT), Name (TEXT), Membership_card (TEXT), Age (INT), Time_of_purchase (INT), Level_of_membership (INT), Address (TEXT)
happy_hour: HH_ID (INT), Shop_ID (INT), Month (TEXT), Num_of_shaff_in_charge (INT)
happy_hour_member: HH_ID (INT), Member_ID (INT), Total_amount (REAL) | SELECT Time_of_purchase , age , address FROM member ORDER BY Time_of_purchase |
Which membership card has more than 5 members? | shop: Shop_ID (INT), Address (TEXT), Num_of_staff (TEXT), Score (REAL), Open_Year (TEXT)
member: Member_ID (INT), Name (TEXT), Membership_card (TEXT), Age (INT), Time_of_purchase (INT), Level_of_membership (INT), Address (TEXT)
happy_hour: HH_ID (INT), Shop_ID (INT), Month (TEXT), Num_of_shaff_in_charge (INT)
happy_hour_member: HH_ID (INT), Member_ID (INT), Total_amount (REAL) | SELECT Membership_card FROM member GROUP BY Membership_card HAVING count(*) > 5 |
Which address has both members younger than 30 and members older than 40? | shop: Shop_ID (INT), Address (TEXT), Num_of_staff (TEXT), Score (REAL), Open_Year (TEXT)
member: Member_ID (INT), Name (TEXT), Membership_card (TEXT), Age (INT), Time_of_purchase (INT), Level_of_membership (INT), Address (TEXT)
happy_hour: HH_ID (INT), Shop_ID (INT), Month (TEXT), Num_of_shaff_in_charge (INT)
happy_hour_member: HH_ID (INT), Member_ID (INT), Total_amount (REAL) | SELECT address FROM member WHERE age < 30 INTERSECT SELECT address FROM member WHERE age > 40 |
What is the membership card held by both members living in Hartford and ones living in Waterbury address? | shop: Shop_ID (INT), Address (TEXT), Num_of_staff (TEXT), Score (REAL), Open_Year (TEXT)
member: Member_ID (INT), Name (TEXT), Membership_card (TEXT), Age (INT), Time_of_purchase (INT), Level_of_membership (INT), Address (TEXT)
happy_hour: HH_ID (INT), Shop_ID (INT), Month (TEXT), Num_of_shaff_in_charge (INT)
happy_hour_member: HH_ID (INT), Member_ID (INT), Total_amount (REAL) | SELECT membership_card FROM member WHERE address = 'Hartford' INTERSECT SELECT membership_card FROM member WHERE address = 'Waterbury' |
How many members are not living in Hartford? | shop: Shop_ID (INT), Address (TEXT), Num_of_staff (TEXT), Score (REAL), Open_Year (TEXT)
member: Member_ID (INT), Name (TEXT), Membership_card (TEXT), Age (INT), Time_of_purchase (INT), Level_of_membership (INT), Address (TEXT)
happy_hour: HH_ID (INT), Shop_ID (INT), Month (TEXT), Num_of_shaff_in_charge (INT)
happy_hour_member: HH_ID (INT), Member_ID (INT), Total_amount (REAL) | SELECT count(*) FROM member WHERE address != 'Hartford' |
Which address do not have any member with the black membership card? | shop: Shop_ID (INT), Address (TEXT), Num_of_staff (TEXT), Score (REAL), Open_Year (TEXT)
member: Member_ID (INT), Name (TEXT), Membership_card (TEXT), Age (INT), Time_of_purchase (INT), Level_of_membership (INT), Address (TEXT)
happy_hour: HH_ID (INT), Shop_ID (INT), Month (TEXT), Num_of_shaff_in_charge (INT)
happy_hour_member: HH_ID (INT), Member_ID (INT), Total_amount (REAL) | SELECT address FROM member EXCEPT SELECT address FROM member WHERE Membership_card = 'Black' |
Show the shop addresses ordered by their opening year. | shop: Shop_ID (INT), Address (TEXT), Num_of_staff (TEXT), Score (REAL), Open_Year (TEXT)
member: Member_ID (INT), Name (TEXT), Membership_card (TEXT), Age (INT), Time_of_purchase (INT), Level_of_membership (INT), Address (TEXT)
happy_hour: HH_ID (INT), Shop_ID (INT), Month (TEXT), Num_of_shaff_in_charge (INT)
happy_hour_member: HH_ID (INT), Member_ID (INT), Total_amount (REAL) | SELECT address FROM shop ORDER BY open_year |
What are the average score and average staff number of all shops? | shop: Shop_ID (INT), Address (TEXT), Num_of_staff (TEXT), Score (REAL), Open_Year (TEXT)
member: Member_ID (INT), Name (TEXT), Membership_card (TEXT), Age (INT), Time_of_purchase (INT), Level_of_membership (INT), Address (TEXT)
happy_hour: HH_ID (INT), Shop_ID (INT), Month (TEXT), Num_of_shaff_in_charge (INT)
happy_hour_member: HH_ID (INT), Member_ID (INT), Total_amount (REAL) | SELECT avg(num_of_staff) , avg(score) FROM shop |
Find the id and address of the shops whose score is below the average score. | shop: Shop_ID (INT), Address (TEXT), Num_of_staff (TEXT), Score (REAL), Open_Year (TEXT)
member: Member_ID (INT), Name (TEXT), Membership_card (TEXT), Age (INT), Time_of_purchase (INT), Level_of_membership (INT), Address (TEXT)
happy_hour: HH_ID (INT), Shop_ID (INT), Month (TEXT), Num_of_shaff_in_charge (INT)
happy_hour_member: HH_ID (INT), Member_ID (INT), Total_amount (REAL) | SELECT shop_id , address FROM shop WHERE score < (SELECT avg(score) FROM shop) |
Find the address and staff number of the shops that do not have any happy hour. | shop: Shop_ID (INT), Address (TEXT), Num_of_staff (TEXT), Score (REAL), Open_Year (TEXT)
member: Member_ID (INT), Name (TEXT), Membership_card (TEXT), Age (INT), Time_of_purchase (INT), Level_of_membership (INT), Address (TEXT)
happy_hour: HH_ID (INT), Shop_ID (INT), Month (TEXT), Num_of_shaff_in_charge (INT)
happy_hour_member: HH_ID (INT), Member_ID (INT), Total_amount (REAL) | SELECT address , num_of_staff FROM shop WHERE shop_id NOT IN (SELECT shop_id FROM happy_hour) |
What are the id and address of the shops which have a happy hour in May? | shop: Shop_ID (INT), Address (TEXT), Num_of_staff (TEXT), Score (REAL), Open_Year (TEXT)
member: Member_ID (INT), Name (TEXT), Membership_card (TEXT), Age (INT), Time_of_purchase (INT), Level_of_membership (INT), Address (TEXT)
happy_hour: HH_ID (INT), Shop_ID (INT), Month (TEXT), Num_of_shaff_in_charge (INT)
happy_hour_member: HH_ID (INT), Member_ID (INT), Total_amount (REAL) | SELECT t1.address , t1.shop_id FROM shop AS t1 JOIN happy_hour AS t2 ON t1.shop_id = t2.shop_id WHERE MONTH = 'May' |
which shop has happy hour most frequently? List its id and number of happy hours. | shop: Shop_ID (INT), Address (TEXT), Num_of_staff (TEXT), Score (REAL), Open_Year (TEXT)
member: Member_ID (INT), Name (TEXT), Membership_card (TEXT), Age (INT), Time_of_purchase (INT), Level_of_membership (INT), Address (TEXT)
happy_hour: HH_ID (INT), Shop_ID (INT), Month (TEXT), Num_of_shaff_in_charge (INT)
happy_hour_member: HH_ID (INT), Member_ID (INT), Total_amount (REAL) | SELECT shop_id , count(*) FROM happy_hour GROUP BY shop_id ORDER BY count(*) DESC LIMIT 1 |
Which month has the most happy hours? | shop: Shop_ID (INT), Address (TEXT), Num_of_staff (TEXT), Score (REAL), Open_Year (TEXT)
member: Member_ID (INT), Name (TEXT), Membership_card (TEXT), Age (INT), Time_of_purchase (INT), Level_of_membership (INT), Address (TEXT)
happy_hour: HH_ID (INT), Shop_ID (INT), Month (TEXT), Num_of_shaff_in_charge (INT)
happy_hour_member: HH_ID (INT), Member_ID (INT), Total_amount (REAL) | SELECT MONTH FROM happy_hour GROUP BY MONTH ORDER BY count(*) DESC LIMIT 1 |
Which months have more than 2 happy hours? | shop: Shop_ID (INT), Address (TEXT), Num_of_staff (TEXT), Score (REAL), Open_Year (TEXT)
member: Member_ID (INT), Name (TEXT), Membership_card (TEXT), Age (INT), Time_of_purchase (INT), Level_of_membership (INT), Address (TEXT)
happy_hour: HH_ID (INT), Shop_ID (INT), Month (TEXT), Num_of_shaff_in_charge (INT)
happy_hour_member: HH_ID (INT), Member_ID (INT), Total_amount (REAL) | SELECT MONTH FROM happy_hour GROUP BY MONTH HAVING count(*) > 2 |
Find all the phone numbers. | Customers: Customer_ID (INTEGER), Customer_name (VARCHAR(40))
Services: Service_ID (INTEGER), Service_name (VARCHAR(40))
Available_Policies: Policy_ID (INTEGER), policy_type_code (CHAR(15)), Customer_Phone (VARCHAR(255))
Customers_Policies: Customer_ID (INTEGER), Policy_ID (INTEGER), Date_Opened (DATE), Date_Closed (DATE)
First_Notification_of_Loss: FNOL_ID (INTEGER), Customer_ID (INTEGER), Policy_ID (INTEGER), Service_ID (INTEGER)
Claims: Claim_ID (INTEGER), FNOL_ID (INTEGER), Effective_Date (DATE)
Settlements: Settlement_ID (INTEGER), Claim_ID (INTEGER), Effective_Date (DATE), Settlement_Amount (REAL) | SELECT customer_phone FROM available_policies |
What are all the phone numbers? | Customers: Customer_ID (INTEGER), Customer_name (VARCHAR(40))
Services: Service_ID (INTEGER), Service_name (VARCHAR(40))
Available_Policies: Policy_ID (INTEGER), policy_type_code (CHAR(15)), Customer_Phone (VARCHAR(255))
Customers_Policies: Customer_ID (INTEGER), Policy_ID (INTEGER), Date_Opened (DATE), Date_Closed (DATE)
First_Notification_of_Loss: FNOL_ID (INTEGER), Customer_ID (INTEGER), Policy_ID (INTEGER), Service_ID (INTEGER)
Claims: Claim_ID (INTEGER), FNOL_ID (INTEGER), Effective_Date (DATE)
Settlements: Settlement_ID (INTEGER), Claim_ID (INTEGER), Effective_Date (DATE), Settlement_Amount (REAL) | SELECT customer_phone FROM available_policies |
What are the customer phone numbers under the policy "Life Insurance"? | Customers: Customer_ID (INTEGER), Customer_name (VARCHAR(40))
Services: Service_ID (INTEGER), Service_name (VARCHAR(40))
Available_Policies: Policy_ID (INTEGER), policy_type_code (CHAR(15)), Customer_Phone (VARCHAR(255))
Customers_Policies: Customer_ID (INTEGER), Policy_ID (INTEGER), Date_Opened (DATE), Date_Closed (DATE)
First_Notification_of_Loss: FNOL_ID (INTEGER), Customer_ID (INTEGER), Policy_ID (INTEGER), Service_ID (INTEGER)
Claims: Claim_ID (INTEGER), FNOL_ID (INTEGER), Effective_Date (DATE)
Settlements: Settlement_ID (INTEGER), Claim_ID (INTEGER), Effective_Date (DATE), Settlement_Amount (REAL) | SELECT customer_phone FROM available_policies WHERE policy_type_code = "Life Insurance" |
What are the phone numbers of customers using the policy with the code "Life Insurance"? | Customers: Customer_ID (INTEGER), Customer_name (VARCHAR(40))
Services: Service_ID (INTEGER), Service_name (VARCHAR(40))
Available_Policies: Policy_ID (INTEGER), policy_type_code (CHAR(15)), Customer_Phone (VARCHAR(255))
Customers_Policies: Customer_ID (INTEGER), Policy_ID (INTEGER), Date_Opened (DATE), Date_Closed (DATE)
First_Notification_of_Loss: FNOL_ID (INTEGER), Customer_ID (INTEGER), Policy_ID (INTEGER), Service_ID (INTEGER)
Claims: Claim_ID (INTEGER), FNOL_ID (INTEGER), Effective_Date (DATE)
Settlements: Settlement_ID (INTEGER), Claim_ID (INTEGER), Effective_Date (DATE), Settlement_Amount (REAL) | SELECT customer_phone FROM available_policies WHERE policy_type_code = "Life Insurance" |
Which policy type has the most records in the database? | Customers: Customer_ID (INTEGER), Customer_name (VARCHAR(40))
Services: Service_ID (INTEGER), Service_name (VARCHAR(40))
Available_Policies: Policy_ID (INTEGER), policy_type_code (CHAR(15)), Customer_Phone (VARCHAR(255))
Customers_Policies: Customer_ID (INTEGER), Policy_ID (INTEGER), Date_Opened (DATE), Date_Closed (DATE)
First_Notification_of_Loss: FNOL_ID (INTEGER), Customer_ID (INTEGER), Policy_ID (INTEGER), Service_ID (INTEGER)
Claims: Claim_ID (INTEGER), FNOL_ID (INTEGER), Effective_Date (DATE)
Settlements: Settlement_ID (INTEGER), Claim_ID (INTEGER), Effective_Date (DATE), Settlement_Amount (REAL) | SELECT policy_type_code FROM available_policies GROUP BY policy_type_code ORDER BY count(*) DESC LIMIT 1 |
Which policy type appears most frequently in the available policies? | Customers: Customer_ID (INTEGER), Customer_name (VARCHAR(40))
Services: Service_ID (INTEGER), Service_name (VARCHAR(40))
Available_Policies: Policy_ID (INTEGER), policy_type_code (CHAR(15)), Customer_Phone (VARCHAR(255))
Customers_Policies: Customer_ID (INTEGER), Policy_ID (INTEGER), Date_Opened (DATE), Date_Closed (DATE)
First_Notification_of_Loss: FNOL_ID (INTEGER), Customer_ID (INTEGER), Policy_ID (INTEGER), Service_ID (INTEGER)
Claims: Claim_ID (INTEGER), FNOL_ID (INTEGER), Effective_Date (DATE)
Settlements: Settlement_ID (INTEGER), Claim_ID (INTEGER), Effective_Date (DATE), Settlement_Amount (REAL) | SELECT policy_type_code FROM available_policies GROUP BY policy_type_code ORDER BY count(*) DESC LIMIT 1 |
What are all the customer phone numbers under the most popular policy type? | Customers: Customer_ID (INTEGER), Customer_name (VARCHAR(40))
Services: Service_ID (INTEGER), Service_name (VARCHAR(40))
Available_Policies: Policy_ID (INTEGER), policy_type_code (CHAR(15)), Customer_Phone (VARCHAR(255))
Customers_Policies: Customer_ID (INTEGER), Policy_ID (INTEGER), Date_Opened (DATE), Date_Closed (DATE)
First_Notification_of_Loss: FNOL_ID (INTEGER), Customer_ID (INTEGER), Policy_ID (INTEGER), Service_ID (INTEGER)
Claims: Claim_ID (INTEGER), FNOL_ID (INTEGER), Effective_Date (DATE)
Settlements: Settlement_ID (INTEGER), Claim_ID (INTEGER), Effective_Date (DATE), Settlement_Amount (REAL) | SELECT customer_phone FROM available_policies WHERE policy_type_code = (SELECT policy_type_code FROM available_policies GROUP BY policy_type_code ORDER BY count(*) DESC LIMIT 1) |
Find the phone numbers of customers using the most common policy type among the available policies. | Customers: Customer_ID (INTEGER), Customer_name (VARCHAR(40))
Services: Service_ID (INTEGER), Service_name (VARCHAR(40))
Available_Policies: Policy_ID (INTEGER), policy_type_code (CHAR(15)), Customer_Phone (VARCHAR(255))
Customers_Policies: Customer_ID (INTEGER), Policy_ID (INTEGER), Date_Opened (DATE), Date_Closed (DATE)
First_Notification_of_Loss: FNOL_ID (INTEGER), Customer_ID (INTEGER), Policy_ID (INTEGER), Service_ID (INTEGER)
Claims: Claim_ID (INTEGER), FNOL_ID (INTEGER), Effective_Date (DATE)
Settlements: Settlement_ID (INTEGER), Claim_ID (INTEGER), Effective_Date (DATE), Settlement_Amount (REAL) | SELECT customer_phone FROM available_policies WHERE policy_type_code = (SELECT policy_type_code FROM available_policies GROUP BY policy_type_code ORDER BY count(*) DESC LIMIT 1) |
Find the policy type used by more than 4 customers. | Customers: Customer_ID (INTEGER), Customer_name (VARCHAR(40))
Services: Service_ID (INTEGER), Service_name (VARCHAR(40))
Available_Policies: Policy_ID (INTEGER), policy_type_code (CHAR(15)), Customer_Phone (VARCHAR(255))
Customers_Policies: Customer_ID (INTEGER), Policy_ID (INTEGER), Date_Opened (DATE), Date_Closed (DATE)
First_Notification_of_Loss: FNOL_ID (INTEGER), Customer_ID (INTEGER), Policy_ID (INTEGER), Service_ID (INTEGER)
Claims: Claim_ID (INTEGER), FNOL_ID (INTEGER), Effective_Date (DATE)
Settlements: Settlement_ID (INTEGER), Claim_ID (INTEGER), Effective_Date (DATE), Settlement_Amount (REAL) | SELECT policy_type_code FROM available_policies GROUP BY policy_type_code HAVING count(*) > 4 |
Find the policy types more than 4 customers use. Show their type code. | Customers: Customer_ID (INTEGER), Customer_name (VARCHAR(40))
Services: Service_ID (INTEGER), Service_name (VARCHAR(40))
Available_Policies: Policy_ID (INTEGER), policy_type_code (CHAR(15)), Customer_Phone (VARCHAR(255))
Customers_Policies: Customer_ID (INTEGER), Policy_ID (INTEGER), Date_Opened (DATE), Date_Closed (DATE)
First_Notification_of_Loss: FNOL_ID (INTEGER), Customer_ID (INTEGER), Policy_ID (INTEGER), Service_ID (INTEGER)
Claims: Claim_ID (INTEGER), FNOL_ID (INTEGER), Effective_Date (DATE)
Settlements: Settlement_ID (INTEGER), Claim_ID (INTEGER), Effective_Date (DATE), Settlement_Amount (REAL) | SELECT policy_type_code FROM available_policies GROUP BY policy_type_code HAVING count(*) > 4 |
Find the total and average amount of settlements. | Customers: Customer_ID (INTEGER), Customer_name (VARCHAR(40))
Services: Service_ID (INTEGER), Service_name (VARCHAR(40))
Available_Policies: Policy_ID (INTEGER), policy_type_code (CHAR(15)), Customer_Phone (VARCHAR(255))
Customers_Policies: Customer_ID (INTEGER), Policy_ID (INTEGER), Date_Opened (DATE), Date_Closed (DATE)
First_Notification_of_Loss: FNOL_ID (INTEGER), Customer_ID (INTEGER), Policy_ID (INTEGER), Service_ID (INTEGER)
Claims: Claim_ID (INTEGER), FNOL_ID (INTEGER), Effective_Date (DATE)
Settlements: Settlement_ID (INTEGER), Claim_ID (INTEGER), Effective_Date (DATE), Settlement_Amount (REAL) | SELECT sum(settlement_amount) , avg(settlement_amount) FROM settlements |
Return the sum and average of all settlement amounts. | Customers: Customer_ID (INTEGER), Customer_name (VARCHAR(40))
Services: Service_ID (INTEGER), Service_name (VARCHAR(40))
Available_Policies: Policy_ID (INTEGER), policy_type_code (CHAR(15)), Customer_Phone (VARCHAR(255))
Customers_Policies: Customer_ID (INTEGER), Policy_ID (INTEGER), Date_Opened (DATE), Date_Closed (DATE)
First_Notification_of_Loss: FNOL_ID (INTEGER), Customer_ID (INTEGER), Policy_ID (INTEGER), Service_ID (INTEGER)
Claims: Claim_ID (INTEGER), FNOL_ID (INTEGER), Effective_Date (DATE)
Settlements: Settlement_ID (INTEGER), Claim_ID (INTEGER), Effective_Date (DATE), Settlement_Amount (REAL) | SELECT sum(settlement_amount) , avg(settlement_amount) FROM settlements |
Find the name of services that have been used for more than 2 times in first notification of loss. | Customers: Customer_ID (INTEGER), Customer_name (VARCHAR(40))
Services: Service_ID (INTEGER), Service_name (VARCHAR(40))
Available_Policies: Policy_ID (INTEGER), policy_type_code (CHAR(15)), Customer_Phone (VARCHAR(255))
Customers_Policies: Customer_ID (INTEGER), Policy_ID (INTEGER), Date_Opened (DATE), Date_Closed (DATE)
First_Notification_of_Loss: FNOL_ID (INTEGER), Customer_ID (INTEGER), Policy_ID (INTEGER), Service_ID (INTEGER)
Claims: Claim_ID (INTEGER), FNOL_ID (INTEGER), Effective_Date (DATE)
Settlements: Settlement_ID (INTEGER), Claim_ID (INTEGER), Effective_Date (DATE), Settlement_Amount (REAL) | SELECT t2.service_name FROM first_notification_of_loss AS t1 JOIN services AS t2 ON t1.service_id = t2.service_id GROUP BY t1.service_id HAVING count(*) > 2 |
Which services have been used more than twice in first notification of loss? Return the service name. | Customers: Customer_ID (INTEGER), Customer_name (VARCHAR(40))
Services: Service_ID (INTEGER), Service_name (VARCHAR(40))
Available_Policies: Policy_ID (INTEGER), policy_type_code (CHAR(15)), Customer_Phone (VARCHAR(255))
Customers_Policies: Customer_ID (INTEGER), Policy_ID (INTEGER), Date_Opened (DATE), Date_Closed (DATE)
First_Notification_of_Loss: FNOL_ID (INTEGER), Customer_ID (INTEGER), Policy_ID (INTEGER), Service_ID (INTEGER)
Claims: Claim_ID (INTEGER), FNOL_ID (INTEGER), Effective_Date (DATE)
Settlements: Settlement_ID (INTEGER), Claim_ID (INTEGER), Effective_Date (DATE), Settlement_Amount (REAL) | SELECT t2.service_name FROM first_notification_of_loss AS t1 JOIN services AS t2 ON t1.service_id = t2.service_id GROUP BY t1.service_id HAVING count(*) > 2 |
What is the effective date of the claim that has the largest amount of total settlement? | Customers: Customer_ID (INTEGER), Customer_name (VARCHAR(40))
Services: Service_ID (INTEGER), Service_name (VARCHAR(40))
Available_Policies: Policy_ID (INTEGER), policy_type_code (CHAR(15)), Customer_Phone (VARCHAR(255))
Customers_Policies: Customer_ID (INTEGER), Policy_ID (INTEGER), Date_Opened (DATE), Date_Closed (DATE)
First_Notification_of_Loss: FNOL_ID (INTEGER), Customer_ID (INTEGER), Policy_ID (INTEGER), Service_ID (INTEGER)
Claims: Claim_ID (INTEGER), FNOL_ID (INTEGER), Effective_Date (DATE)
Settlements: Settlement_ID (INTEGER), Claim_ID (INTEGER), Effective_Date (DATE), Settlement_Amount (REAL) | SELECT t1.Effective_Date FROM claims AS t1 JOIN settlements AS t2 ON t1.claim_id = t2.claim_id GROUP BY t1.claim_id ORDER BY sum(t2.settlement_amount) DESC LIMIT 1 |
Find the claim that has the largest total settlement amount. Return the effective date of the claim. | Customers: Customer_ID (INTEGER), Customer_name (VARCHAR(40))
Services: Service_ID (INTEGER), Service_name (VARCHAR(40))
Available_Policies: Policy_ID (INTEGER), policy_type_code (CHAR(15)), Customer_Phone (VARCHAR(255))
Customers_Policies: Customer_ID (INTEGER), Policy_ID (INTEGER), Date_Opened (DATE), Date_Closed (DATE)
First_Notification_of_Loss: FNOL_ID (INTEGER), Customer_ID (INTEGER), Policy_ID (INTEGER), Service_ID (INTEGER)
Claims: Claim_ID (INTEGER), FNOL_ID (INTEGER), Effective_Date (DATE)
Settlements: Settlement_ID (INTEGER), Claim_ID (INTEGER), Effective_Date (DATE), Settlement_Amount (REAL) | SELECT t1.Effective_Date FROM claims AS t1 JOIN settlements AS t2 ON t1.claim_id = t2.claim_id GROUP BY t1.claim_id ORDER BY sum(t2.settlement_amount) DESC LIMIT 1 |
How many policies are listed for the customer named "Dayana Robel"? | Customers: Customer_ID (INTEGER), Customer_name (VARCHAR(40))
Services: Service_ID (INTEGER), Service_name (VARCHAR(40))
Available_Policies: Policy_ID (INTEGER), policy_type_code (CHAR(15)), Customer_Phone (VARCHAR(255))
Customers_Policies: Customer_ID (INTEGER), Policy_ID (INTEGER), Date_Opened (DATE), Date_Closed (DATE)
First_Notification_of_Loss: FNOL_ID (INTEGER), Customer_ID (INTEGER), Policy_ID (INTEGER), Service_ID (INTEGER)
Claims: Claim_ID (INTEGER), FNOL_ID (INTEGER), Effective_Date (DATE)
Settlements: Settlement_ID (INTEGER), Claim_ID (INTEGER), Effective_Date (DATE), Settlement_Amount (REAL) | SELECT count(*) FROM customers AS t1 JOIN customers_policies AS t2 ON t1.customer_id = t2.customer_id WHERE t1.customer_name = "Dayana Robel" |
Count the total number of policies used by the customer named "Dayana Robel". | Customers: Customer_ID (INTEGER), Customer_name (VARCHAR(40))
Services: Service_ID (INTEGER), Service_name (VARCHAR(40))
Available_Policies: Policy_ID (INTEGER), policy_type_code (CHAR(15)), Customer_Phone (VARCHAR(255))
Customers_Policies: Customer_ID (INTEGER), Policy_ID (INTEGER), Date_Opened (DATE), Date_Closed (DATE)
First_Notification_of_Loss: FNOL_ID (INTEGER), Customer_ID (INTEGER), Policy_ID (INTEGER), Service_ID (INTEGER)
Claims: Claim_ID (INTEGER), FNOL_ID (INTEGER), Effective_Date (DATE)
Settlements: Settlement_ID (INTEGER), Claim_ID (INTEGER), Effective_Date (DATE), Settlement_Amount (REAL) | SELECT count(*) FROM customers AS t1 JOIN customers_policies AS t2 ON t1.customer_id = t2.customer_id WHERE t1.customer_name = "Dayana Robel" |
What is the name of the customer who has the most policies listed? | Customers: Customer_ID (INTEGER), Customer_name (VARCHAR(40))
Services: Service_ID (INTEGER), Service_name (VARCHAR(40))
Available_Policies: Policy_ID (INTEGER), policy_type_code (CHAR(15)), Customer_Phone (VARCHAR(255))
Customers_Policies: Customer_ID (INTEGER), Policy_ID (INTEGER), Date_Opened (DATE), Date_Closed (DATE)
First_Notification_of_Loss: FNOL_ID (INTEGER), Customer_ID (INTEGER), Policy_ID (INTEGER), Service_ID (INTEGER)
Claims: Claim_ID (INTEGER), FNOL_ID (INTEGER), Effective_Date (DATE)
Settlements: Settlement_ID (INTEGER), Claim_ID (INTEGER), Effective_Date (DATE), Settlement_Amount (REAL) | SELECT t1.customer_name FROM customers AS t1 JOIN customers_policies AS t2 ON t1.customer_id = t2.customer_id GROUP BY t1.customer_name ORDER BY count(*) DESC LIMIT 1 |
Which customer uses the most policies? Give me the customer name. | Customers: Customer_ID (INTEGER), Customer_name (VARCHAR(40))
Services: Service_ID (INTEGER), Service_name (VARCHAR(40))
Available_Policies: Policy_ID (INTEGER), policy_type_code (CHAR(15)), Customer_Phone (VARCHAR(255))
Customers_Policies: Customer_ID (INTEGER), Policy_ID (INTEGER), Date_Opened (DATE), Date_Closed (DATE)
First_Notification_of_Loss: FNOL_ID (INTEGER), Customer_ID (INTEGER), Policy_ID (INTEGER), Service_ID (INTEGER)
Claims: Claim_ID (INTEGER), FNOL_ID (INTEGER), Effective_Date (DATE)
Settlements: Settlement_ID (INTEGER), Claim_ID (INTEGER), Effective_Date (DATE), Settlement_Amount (REAL) | SELECT t1.customer_name FROM customers AS t1 JOIN customers_policies AS t2 ON t1.customer_id = t2.customer_id GROUP BY t1.customer_name ORDER BY count(*) DESC LIMIT 1 |