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-- Database schema
| Customers : Customer_ID [ INT ] primary_key , Customer_name [ TEXT ] | Services : Service_ID [ INT ] primary_key , Service_name [ TEXT ] | Available_Policies : Policy_ID [ INT ] primary_key , policy_type_code [ TEXT ] , Customer_Phone [ TEXT ] | Customers_Policies : Customer_ID [ INT ] primary_key Customers_Policies.Customer_ID = Customers.Customer_ID , Policy_ID [ INT ] Customers_Policies.Policy_ID = Available_Policies.Policy_ID , Date_Opened [ TEXT ] , Date_Closed [ TEXT ] | First_Notification_of_Loss : FNOL_ID [ INT ] primary_key , Customer_ID [ INT ] First_Notification_of_Loss.Customer_ID = Customers_Policies.Customer_ID , Policy_ID [ INT ] First_Notification_of_Loss.Policy_ID = Customers_Policies.Policy_ID , Service_ID [ INT ] First_Notification_of_Loss.Service_ID = Services.Service_ID | Claims : Claim_ID [ INT ] primary_key , FNOL_ID [ INT ] Claims.FNOL_ID = First_Notification_of_Loss.FNOL_ID , Effective_Date [ TEXT ] | Settlements : Settlement_ID [ INT ] primary_key , Claim_ID [ INT ] Settlements.Claim_ID = Claims.Claim_ID , Effective_Date [ TEXT ] , Settlement_Amount [ INT ] |
-- -- Find the policy types more than 4 customers use. Show their type code.
| SELECT policy_type_code FROM available_policies GROUP BY policy_type_code HAVING count(*) > 4; |
-- Database schema
| Customers : Customer_ID [ INT ] primary_key , Customer_name [ TEXT ] | Services : Service_ID [ INT ] primary_key , Service_name [ TEXT ] | Available_Policies : Policy_ID [ INT ] primary_key , policy_type_code [ TEXT ] , Customer_Phone [ TEXT ] | Customers_Policies : Customer_ID [ INT ] primary_key Customers_Policies.Customer_ID = Customers.Customer_ID , Policy_ID [ INT ] Customers_Policies.Policy_ID = Available_Policies.Policy_ID , Date_Opened [ TEXT ] , Date_Closed [ TEXT ] | First_Notification_of_Loss : FNOL_ID [ INT ] primary_key , Customer_ID [ INT ] First_Notification_of_Loss.Customer_ID = Customers_Policies.Customer_ID , Policy_ID [ INT ] First_Notification_of_Loss.Policy_ID = Customers_Policies.Policy_ID , Service_ID [ INT ] First_Notification_of_Loss.Service_ID = Services.Service_ID | Claims : Claim_ID [ INT ] primary_key , FNOL_ID [ INT ] Claims.FNOL_ID = First_Notification_of_Loss.FNOL_ID , Effective_Date [ TEXT ] | Settlements : Settlement_ID [ INT ] primary_key , Claim_ID [ INT ] Settlements.Claim_ID = Claims.Claim_ID , Effective_Date [ TEXT ] , Settlement_Amount [ INT ] |
-- -- Find the total and average amount of settlements.
| SELECT sum(settlement_amount) , avg(settlement_amount) FROM settlements; |
-- Database schema
| Customers : Customer_ID [ INT ] primary_key , Customer_name [ TEXT ] | Services : Service_ID [ INT ] primary_key , Service_name [ TEXT ] | Available_Policies : Policy_ID [ INT ] primary_key , policy_type_code [ TEXT ] , Customer_Phone [ TEXT ] | Customers_Policies : Customer_ID [ INT ] primary_key Customers_Policies.Customer_ID = Customers.Customer_ID , Policy_ID [ INT ] Customers_Policies.Policy_ID = Available_Policies.Policy_ID , Date_Opened [ TEXT ] , Date_Closed [ TEXT ] | First_Notification_of_Loss : FNOL_ID [ INT ] primary_key , Customer_ID [ INT ] First_Notification_of_Loss.Customer_ID = Customers_Policies.Customer_ID , Policy_ID [ INT ] First_Notification_of_Loss.Policy_ID = Customers_Policies.Policy_ID , Service_ID [ INT ] First_Notification_of_Loss.Service_ID = Services.Service_ID | Claims : Claim_ID [ INT ] primary_key , FNOL_ID [ INT ] Claims.FNOL_ID = First_Notification_of_Loss.FNOL_ID , Effective_Date [ TEXT ] | Settlements : Settlement_ID [ INT ] primary_key , Claim_ID [ INT ] Settlements.Claim_ID = Claims.Claim_ID , Effective_Date [ TEXT ] , Settlement_Amount [ INT ] |
-- -- Return the sum and average of all settlement amounts.
| SELECT sum(settlement_amount) , avg(settlement_amount) FROM settlements; |
-- Database schema
| Customers : Customer_ID [ INT ] primary_key , Customer_name [ TEXT ] | Services : Service_ID [ INT ] primary_key , Service_name [ TEXT ] | Available_Policies : Policy_ID [ INT ] primary_key , policy_type_code [ TEXT ] , Customer_Phone [ TEXT ] | Customers_Policies : Customer_ID [ INT ] primary_key Customers_Policies.Customer_ID = Customers.Customer_ID , Policy_ID [ INT ] Customers_Policies.Policy_ID = Available_Policies.Policy_ID , Date_Opened [ TEXT ] , Date_Closed [ TEXT ] | First_Notification_of_Loss : FNOL_ID [ INT ] primary_key , Customer_ID [ INT ] First_Notification_of_Loss.Customer_ID = Customers_Policies.Customer_ID , Policy_ID [ INT ] First_Notification_of_Loss.Policy_ID = Customers_Policies.Policy_ID , Service_ID [ INT ] First_Notification_of_Loss.Service_ID = Services.Service_ID | Claims : Claim_ID [ INT ] primary_key , FNOL_ID [ INT ] Claims.FNOL_ID = First_Notification_of_Loss.FNOL_ID , Effective_Date [ TEXT ] | Settlements : Settlement_ID [ INT ] primary_key , Claim_ID [ INT ] Settlements.Claim_ID = Claims.Claim_ID , Effective_Date [ TEXT ] , Settlement_Amount [ INT ] |
-- -- Find the name of services that have been used for more than 2 times in first notification of loss.
| 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; |
-- Database schema
| Customers : Customer_ID [ INT ] primary_key , Customer_name [ TEXT ] | Services : Service_ID [ INT ] primary_key , Service_name [ TEXT ] | Available_Policies : Policy_ID [ INT ] primary_key , policy_type_code [ TEXT ] , Customer_Phone [ TEXT ] | Customers_Policies : Customer_ID [ INT ] primary_key Customers_Policies.Customer_ID = Customers.Customer_ID , Policy_ID [ INT ] Customers_Policies.Policy_ID = Available_Policies.Policy_ID , Date_Opened [ TEXT ] , Date_Closed [ TEXT ] | First_Notification_of_Loss : FNOL_ID [ INT ] primary_key , Customer_ID [ INT ] First_Notification_of_Loss.Customer_ID = Customers_Policies.Customer_ID , Policy_ID [ INT ] First_Notification_of_Loss.Policy_ID = Customers_Policies.Policy_ID , Service_ID [ INT ] First_Notification_of_Loss.Service_ID = Services.Service_ID | Claims : Claim_ID [ INT ] primary_key , FNOL_ID [ INT ] Claims.FNOL_ID = First_Notification_of_Loss.FNOL_ID , Effective_Date [ TEXT ] | Settlements : Settlement_ID [ INT ] primary_key , Claim_ID [ INT ] Settlements.Claim_ID = Claims.Claim_ID , Effective_Date [ TEXT ] , Settlement_Amount [ INT ] |
-- -- Which services have been used more than twice in first notification of loss? Return the service name.
| 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; |
-- Database schema
| Customers : Customer_ID [ INT ] primary_key , Customer_name [ TEXT ] | Services : Service_ID [ INT ] primary_key , Service_name [ TEXT ] | Available_Policies : Policy_ID [ INT ] primary_key , policy_type_code [ TEXT ] , Customer_Phone [ TEXT ] | Customers_Policies : Customer_ID [ INT ] primary_key Customers_Policies.Customer_ID = Customers.Customer_ID , Policy_ID [ INT ] Customers_Policies.Policy_ID = Available_Policies.Policy_ID , Date_Opened [ TEXT ] , Date_Closed [ TEXT ] | First_Notification_of_Loss : FNOL_ID [ INT ] primary_key , Customer_ID [ INT ] First_Notification_of_Loss.Customer_ID = Customers_Policies.Customer_ID , Policy_ID [ INT ] First_Notification_of_Loss.Policy_ID = Customers_Policies.Policy_ID , Service_ID [ INT ] First_Notification_of_Loss.Service_ID = Services.Service_ID | Claims : Claim_ID [ INT ] primary_key , FNOL_ID [ INT ] Claims.FNOL_ID = First_Notification_of_Loss.FNOL_ID , Effective_Date [ TEXT ] | Settlements : Settlement_ID [ INT ] primary_key , Claim_ID [ INT ] Settlements.Claim_ID = Claims.Claim_ID , Effective_Date [ TEXT ] , Settlement_Amount [ INT ] |
-- -- What is the effective date of the claim that has the largest amount of total settlement?
| 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; |
-- Database schema
| Customers : Customer_ID [ INT ] primary_key , Customer_name [ TEXT ] | Services : Service_ID [ INT ] primary_key , Service_name [ TEXT ] | Available_Policies : Policy_ID [ INT ] primary_key , policy_type_code [ TEXT ] , Customer_Phone [ TEXT ] | Customers_Policies : Customer_ID [ INT ] primary_key Customers_Policies.Customer_ID = Customers.Customer_ID , Policy_ID [ INT ] Customers_Policies.Policy_ID = Available_Policies.Policy_ID , Date_Opened [ TEXT ] , Date_Closed [ TEXT ] | First_Notification_of_Loss : FNOL_ID [ INT ] primary_key , Customer_ID [ INT ] First_Notification_of_Loss.Customer_ID = Customers_Policies.Customer_ID , Policy_ID [ INT ] First_Notification_of_Loss.Policy_ID = Customers_Policies.Policy_ID , Service_ID [ INT ] First_Notification_of_Loss.Service_ID = Services.Service_ID | Claims : Claim_ID [ INT ] primary_key , FNOL_ID [ INT ] Claims.FNOL_ID = First_Notification_of_Loss.FNOL_ID , Effective_Date [ TEXT ] | Settlements : Settlement_ID [ INT ] primary_key , Claim_ID [ INT ] Settlements.Claim_ID = Claims.Claim_ID , Effective_Date [ TEXT ] , Settlement_Amount [ INT ] |
-- -- Find the claim that has the largest total settlement amount. Return the effective date of the claim.
| 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; |
-- Database schema
| Customers : Customer_ID [ INT ] primary_key , Customer_name [ TEXT ] | Services : Service_ID [ INT ] primary_key , Service_name [ TEXT ] | Available_Policies : Policy_ID [ INT ] primary_key , policy_type_code [ TEXT ] , Customer_Phone [ TEXT ] | Customers_Policies : Customer_ID [ INT ] primary_key Customers_Policies.Customer_ID = Customers.Customer_ID , Policy_ID [ INT ] Customers_Policies.Policy_ID = Available_Policies.Policy_ID , Date_Opened [ TEXT ] , Date_Closed [ TEXT ] | First_Notification_of_Loss : FNOL_ID [ INT ] primary_key , Customer_ID [ INT ] First_Notification_of_Loss.Customer_ID = Customers_Policies.Customer_ID , Policy_ID [ INT ] First_Notification_of_Loss.Policy_ID = Customers_Policies.Policy_ID , Service_ID [ INT ] First_Notification_of_Loss.Service_ID = Services.Service_ID | Claims : Claim_ID [ INT ] primary_key , FNOL_ID [ INT ] Claims.FNOL_ID = First_Notification_of_Loss.FNOL_ID , Effective_Date [ TEXT ] | Settlements : Settlement_ID [ INT ] primary_key , Claim_ID [ INT ] Settlements.Claim_ID = Claims.Claim_ID , Effective_Date [ TEXT ] , Settlement_Amount [ INT ] |
-- -- How many policies are listed for the customer named "Dayana Robel"?
| SELECT count(*) FROM customers AS t1 JOIN customers_policies AS t2 ON t1.customer_id = t2.customer_id WHERE t1.customer_name = "Dayana Robel"; |
-- Database schema
| Customers : Customer_ID [ INT ] primary_key , Customer_name [ TEXT ] | Services : Service_ID [ INT ] primary_key , Service_name [ TEXT ] | Available_Policies : Policy_ID [ INT ] primary_key , policy_type_code [ TEXT ] , Customer_Phone [ TEXT ] | Customers_Policies : Customer_ID [ INT ] primary_key Customers_Policies.Customer_ID = Customers.Customer_ID , Policy_ID [ INT ] Customers_Policies.Policy_ID = Available_Policies.Policy_ID , Date_Opened [ TEXT ] , Date_Closed [ TEXT ] | First_Notification_of_Loss : FNOL_ID [ INT ] primary_key , Customer_ID [ INT ] First_Notification_of_Loss.Customer_ID = Customers_Policies.Customer_ID , Policy_ID [ INT ] First_Notification_of_Loss.Policy_ID = Customers_Policies.Policy_ID , Service_ID [ INT ] First_Notification_of_Loss.Service_ID = Services.Service_ID | Claims : Claim_ID [ INT ] primary_key , FNOL_ID [ INT ] Claims.FNOL_ID = First_Notification_of_Loss.FNOL_ID , Effective_Date [ TEXT ] | Settlements : Settlement_ID [ INT ] primary_key , Claim_ID [ INT ] Settlements.Claim_ID = Claims.Claim_ID , Effective_Date [ TEXT ] , Settlement_Amount [ INT ] |
-- -- Count the total number of policies used by the customer named "Dayana Robel".
| SELECT count(*) FROM customers AS t1 JOIN customers_policies AS t2 ON t1.customer_id = t2.customer_id WHERE t1.customer_name = "Dayana Robel"; |
-- Database schema
| Customers : Customer_ID [ INT ] primary_key , Customer_name [ TEXT ] | Services : Service_ID [ INT ] primary_key , Service_name [ TEXT ] | Available_Policies : Policy_ID [ INT ] primary_key , policy_type_code [ TEXT ] , Customer_Phone [ TEXT ] | Customers_Policies : Customer_ID [ INT ] primary_key Customers_Policies.Customer_ID = Customers.Customer_ID , Policy_ID [ INT ] Customers_Policies.Policy_ID = Available_Policies.Policy_ID , Date_Opened [ TEXT ] , Date_Closed [ TEXT ] | First_Notification_of_Loss : FNOL_ID [ INT ] primary_key , Customer_ID [ INT ] First_Notification_of_Loss.Customer_ID = Customers_Policies.Customer_ID , Policy_ID [ INT ] First_Notification_of_Loss.Policy_ID = Customers_Policies.Policy_ID , Service_ID [ INT ] First_Notification_of_Loss.Service_ID = Services.Service_ID | Claims : Claim_ID [ INT ] primary_key , FNOL_ID [ INT ] Claims.FNOL_ID = First_Notification_of_Loss.FNOL_ID , Effective_Date [ TEXT ] | Settlements : Settlement_ID [ INT ] primary_key , Claim_ID [ INT ] Settlements.Claim_ID = Claims.Claim_ID , Effective_Date [ TEXT ] , Settlement_Amount [ INT ] |
-- -- What is the name of the customer who has the most policies listed?
| 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; |
-- Database schema
| Customers : Customer_ID [ INT ] primary_key , Customer_name [ TEXT ] | Services : Service_ID [ INT ] primary_key , Service_name [ TEXT ] | Available_Policies : Policy_ID [ INT ] primary_key , policy_type_code [ TEXT ] , Customer_Phone [ TEXT ] | Customers_Policies : Customer_ID [ INT ] primary_key Customers_Policies.Customer_ID = Customers.Customer_ID , Policy_ID [ INT ] Customers_Policies.Policy_ID = Available_Policies.Policy_ID , Date_Opened [ TEXT ] , Date_Closed [ TEXT ] | First_Notification_of_Loss : FNOL_ID [ INT ] primary_key , Customer_ID [ INT ] First_Notification_of_Loss.Customer_ID = Customers_Policies.Customer_ID , Policy_ID [ INT ] First_Notification_of_Loss.Policy_ID = Customers_Policies.Policy_ID , Service_ID [ INT ] First_Notification_of_Loss.Service_ID = Services.Service_ID | Claims : Claim_ID [ INT ] primary_key , FNOL_ID [ INT ] Claims.FNOL_ID = First_Notification_of_Loss.FNOL_ID , Effective_Date [ TEXT ] | Settlements : Settlement_ID [ INT ] primary_key , Claim_ID [ INT ] Settlements.Claim_ID = Claims.Claim_ID , Effective_Date [ TEXT ] , Settlement_Amount [ INT ] |
-- -- Which customer uses the most policies? Give me the customer name.
| 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; |
-- Database schema
| Customers : Customer_ID [ INT ] primary_key , Customer_name [ TEXT ] | Services : Service_ID [ INT ] primary_key , Service_name [ TEXT ] | Available_Policies : Policy_ID [ INT ] primary_key , policy_type_code [ TEXT ] , Customer_Phone [ TEXT ] | Customers_Policies : Customer_ID [ INT ] primary_key Customers_Policies.Customer_ID = Customers.Customer_ID , Policy_ID [ INT ] Customers_Policies.Policy_ID = Available_Policies.Policy_ID , Date_Opened [ TEXT ] , Date_Closed [ TEXT ] | First_Notification_of_Loss : FNOL_ID [ INT ] primary_key , Customer_ID [ INT ] First_Notification_of_Loss.Customer_ID = Customers_Policies.Customer_ID , Policy_ID [ INT ] First_Notification_of_Loss.Policy_ID = Customers_Policies.Policy_ID , Service_ID [ INT ] First_Notification_of_Loss.Service_ID = Services.Service_ID | Claims : Claim_ID [ INT ] primary_key , FNOL_ID [ INT ] Claims.FNOL_ID = First_Notification_of_Loss.FNOL_ID , Effective_Date [ TEXT ] | Settlements : Settlement_ID [ INT ] primary_key , Claim_ID [ INT ] Settlements.Claim_ID = Claims.Claim_ID , Effective_Date [ TEXT ] , Settlement_Amount [ INT ] |
-- -- What are all the policy types of the customer named "Dayana Robel"?
| SELECT DISTINCT t3.policy_type_code FROM customers AS t1 JOIN customers_policies AS t2 ON t1.customer_id = t2.customer_id JOIN available_policies AS t3 ON t2.policy_id = t3.policy_id WHERE t1.customer_name = "Dayana Robel"; |
-- Database schema
| Customers : Customer_ID [ INT ] primary_key , Customer_name [ TEXT ] | Services : Service_ID [ INT ] primary_key , Service_name [ TEXT ] | Available_Policies : Policy_ID [ INT ] primary_key , policy_type_code [ TEXT ] , Customer_Phone [ TEXT ] | Customers_Policies : Customer_ID [ INT ] primary_key Customers_Policies.Customer_ID = Customers.Customer_ID , Policy_ID [ INT ] Customers_Policies.Policy_ID = Available_Policies.Policy_ID , Date_Opened [ TEXT ] , Date_Closed [ TEXT ] | First_Notification_of_Loss : FNOL_ID [ INT ] primary_key , Customer_ID [ INT ] First_Notification_of_Loss.Customer_ID = Customers_Policies.Customer_ID , Policy_ID [ INT ] First_Notification_of_Loss.Policy_ID = Customers_Policies.Policy_ID , Service_ID [ INT ] First_Notification_of_Loss.Service_ID = Services.Service_ID | Claims : Claim_ID [ INT ] primary_key , FNOL_ID [ INT ] Claims.FNOL_ID = First_Notification_of_Loss.FNOL_ID , Effective_Date [ TEXT ] | Settlements : Settlement_ID [ INT ] primary_key , Claim_ID [ INT ] Settlements.Claim_ID = Claims.Claim_ID , Effective_Date [ TEXT ] , Settlement_Amount [ INT ] |
-- -- Tell me the types of the policy used by the customer named "Dayana Robel".
| SELECT DISTINCT t3.policy_type_code FROM customers AS t1 JOIN customers_policies AS t2 ON t1.customer_id = t2.customer_id JOIN available_policies AS t3 ON t2.policy_id = t3.policy_id WHERE t1.customer_name = "Dayana Robel"; |
-- Database schema
| Customers : Customer_ID [ INT ] primary_key , Customer_name [ TEXT ] | Services : Service_ID [ INT ] primary_key , Service_name [ TEXT ] | Available_Policies : Policy_ID [ INT ] primary_key , policy_type_code [ TEXT ] , Customer_Phone [ TEXT ] | Customers_Policies : Customer_ID [ INT ] primary_key Customers_Policies.Customer_ID = Customers.Customer_ID , Policy_ID [ INT ] Customers_Policies.Policy_ID = Available_Policies.Policy_ID , Date_Opened [ TEXT ] , Date_Closed [ TEXT ] | First_Notification_of_Loss : FNOL_ID [ INT ] primary_key , Customer_ID [ INT ] First_Notification_of_Loss.Customer_ID = Customers_Policies.Customer_ID , Policy_ID [ INT ] First_Notification_of_Loss.Policy_ID = Customers_Policies.Policy_ID , Service_ID [ INT ] First_Notification_of_Loss.Service_ID = Services.Service_ID | Claims : Claim_ID [ INT ] primary_key , FNOL_ID [ INT ] Claims.FNOL_ID = First_Notification_of_Loss.FNOL_ID , Effective_Date [ TEXT ] | Settlements : Settlement_ID [ INT ] primary_key , Claim_ID [ INT ] Settlements.Claim_ID = Claims.Claim_ID , Effective_Date [ TEXT ] , Settlement_Amount [ INT ] |
-- -- What are all the policy types of the customer that has the most policies listed?
| SELECT DISTINCT t3.policy_type_code FROM customers AS t1 JOIN customers_policies AS t2 ON t1.customer_id = t2.customer_id JOIN available_policies AS t3 ON t2.policy_id = t3.policy_id WHERE t1.customer_name = (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); |
-- Database schema
| Customers : Customer_ID [ INT ] primary_key , Customer_name [ TEXT ] | Services : Service_ID [ INT ] primary_key , Service_name [ TEXT ] | Available_Policies : Policy_ID [ INT ] primary_key , policy_type_code [ TEXT ] , Customer_Phone [ TEXT ] | Customers_Policies : Customer_ID [ INT ] primary_key Customers_Policies.Customer_ID = Customers.Customer_ID , Policy_ID [ INT ] Customers_Policies.Policy_ID = Available_Policies.Policy_ID , Date_Opened [ TEXT ] , Date_Closed [ TEXT ] | First_Notification_of_Loss : FNOL_ID [ INT ] primary_key , Customer_ID [ INT ] First_Notification_of_Loss.Customer_ID = Customers_Policies.Customer_ID , Policy_ID [ INT ] First_Notification_of_Loss.Policy_ID = Customers_Policies.Policy_ID , Service_ID [ INT ] First_Notification_of_Loss.Service_ID = Services.Service_ID | Claims : Claim_ID [ INT ] primary_key , FNOL_ID [ INT ] Claims.FNOL_ID = First_Notification_of_Loss.FNOL_ID , Effective_Date [ TEXT ] | Settlements : Settlement_ID [ INT ] primary_key , Claim_ID [ INT ] Settlements.Claim_ID = Claims.Claim_ID , Effective_Date [ TEXT ] , Settlement_Amount [ INT ] |
-- -- List all the policy types used by the customer enrolled in the most policies.
| SELECT DISTINCT t3.policy_type_code FROM customers AS t1 JOIN customers_policies AS t2 ON t1.customer_id = t2.customer_id JOIN available_policies AS t3 ON t2.policy_id = t3.policy_id WHERE t1.customer_name = (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); |
-- Database schema
| Customers : Customer_ID [ INT ] primary_key , Customer_name [ TEXT ] | Services : Service_ID [ INT ] primary_key , Service_name [ TEXT ] | Available_Policies : Policy_ID [ INT ] primary_key , policy_type_code [ TEXT ] , Customer_Phone [ TEXT ] | Customers_Policies : Customer_ID [ INT ] primary_key Customers_Policies.Customer_ID = Customers.Customer_ID , Policy_ID [ INT ] Customers_Policies.Policy_ID = Available_Policies.Policy_ID , Date_Opened [ TEXT ] , Date_Closed [ TEXT ] | First_Notification_of_Loss : FNOL_ID [ INT ] primary_key , Customer_ID [ INT ] First_Notification_of_Loss.Customer_ID = Customers_Policies.Customer_ID , Policy_ID [ INT ] First_Notification_of_Loss.Policy_ID = Customers_Policies.Policy_ID , Service_ID [ INT ] First_Notification_of_Loss.Service_ID = Services.Service_ID | Claims : Claim_ID [ INT ] primary_key , FNOL_ID [ INT ] Claims.FNOL_ID = First_Notification_of_Loss.FNOL_ID , Effective_Date [ TEXT ] | Settlements : Settlement_ID [ INT ] primary_key , Claim_ID [ INT ] Settlements.Claim_ID = Claims.Claim_ID , Effective_Date [ TEXT ] , Settlement_Amount [ INT ] |
-- -- List all the services in the alphabetical order.
| SELECT service_name FROM services ORDER BY service_name; |
-- Database schema
| Customers : Customer_ID [ INT ] primary_key , Customer_name [ TEXT ] | Services : Service_ID [ INT ] primary_key , Service_name [ TEXT ] | Available_Policies : Policy_ID [ INT ] primary_key , policy_type_code [ TEXT ] , Customer_Phone [ TEXT ] | Customers_Policies : Customer_ID [ INT ] primary_key Customers_Policies.Customer_ID = Customers.Customer_ID , Policy_ID [ INT ] Customers_Policies.Policy_ID = Available_Policies.Policy_ID , Date_Opened [ TEXT ] , Date_Closed [ TEXT ] | First_Notification_of_Loss : FNOL_ID [ INT ] primary_key , Customer_ID [ INT ] First_Notification_of_Loss.Customer_ID = Customers_Policies.Customer_ID , Policy_ID [ INT ] First_Notification_of_Loss.Policy_ID = Customers_Policies.Policy_ID , Service_ID [ INT ] First_Notification_of_Loss.Service_ID = Services.Service_ID | Claims : Claim_ID [ INT ] primary_key , FNOL_ID [ INT ] Claims.FNOL_ID = First_Notification_of_Loss.FNOL_ID , Effective_Date [ TEXT ] | Settlements : Settlement_ID [ INT ] primary_key , Claim_ID [ INT ] Settlements.Claim_ID = Claims.Claim_ID , Effective_Date [ TEXT ] , Settlement_Amount [ INT ] |
-- -- Give me a list of all the service names sorted alphabetically.
| SELECT service_name FROM services ORDER BY service_name; |
-- Database schema
| Customers : Customer_ID [ INT ] primary_key , Customer_name [ TEXT ] | Services : Service_ID [ INT ] primary_key , Service_name [ TEXT ] | Available_Policies : Policy_ID [ INT ] primary_key , policy_type_code [ TEXT ] , Customer_Phone [ TEXT ] | Customers_Policies : Customer_ID [ INT ] primary_key Customers_Policies.Customer_ID = Customers.Customer_ID , Policy_ID [ INT ] Customers_Policies.Policy_ID = Available_Policies.Policy_ID , Date_Opened [ TEXT ] , Date_Closed [ TEXT ] | First_Notification_of_Loss : FNOL_ID [ INT ] primary_key , Customer_ID [ INT ] First_Notification_of_Loss.Customer_ID = Customers_Policies.Customer_ID , Policy_ID [ INT ] First_Notification_of_Loss.Policy_ID = Customers_Policies.Policy_ID , Service_ID [ INT ] First_Notification_of_Loss.Service_ID = Services.Service_ID | Claims : Claim_ID [ INT ] primary_key , FNOL_ID [ INT ] Claims.FNOL_ID = First_Notification_of_Loss.FNOL_ID , Effective_Date [ TEXT ] | Settlements : Settlement_ID [ INT ] primary_key , Claim_ID [ INT ] Settlements.Claim_ID = Claims.Claim_ID , Effective_Date [ TEXT ] , Settlement_Amount [ INT ] |
-- -- How many services are there?
| SELECT count(*) FROM services; |
-- Database schema
| Customers : Customer_ID [ INT ] primary_key , Customer_name [ TEXT ] | Services : Service_ID [ INT ] primary_key , Service_name [ TEXT ] | Available_Policies : Policy_ID [ INT ] primary_key , policy_type_code [ TEXT ] , Customer_Phone [ TEXT ] | Customers_Policies : Customer_ID [ INT ] primary_key Customers_Policies.Customer_ID = Customers.Customer_ID , Policy_ID [ INT ] Customers_Policies.Policy_ID = Available_Policies.Policy_ID , Date_Opened [ TEXT ] , Date_Closed [ TEXT ] | First_Notification_of_Loss : FNOL_ID [ INT ] primary_key , Customer_ID [ INT ] First_Notification_of_Loss.Customer_ID = Customers_Policies.Customer_ID , Policy_ID [ INT ] First_Notification_of_Loss.Policy_ID = Customers_Policies.Policy_ID , Service_ID [ INT ] First_Notification_of_Loss.Service_ID = Services.Service_ID | Claims : Claim_ID [ INT ] primary_key , FNOL_ID [ INT ] Claims.FNOL_ID = First_Notification_of_Loss.FNOL_ID , Effective_Date [ TEXT ] | Settlements : Settlement_ID [ INT ] primary_key , Claim_ID [ INT ] Settlements.Claim_ID = Claims.Claim_ID , Effective_Date [ TEXT ] , Settlement_Amount [ INT ] |
-- -- Count the total number of available services.
| SELECT count(*) FROM services; |
-- Database schema
| Customers : Customer_ID [ INT ] primary_key , Customer_name [ TEXT ] | Services : Service_ID [ INT ] primary_key , Service_name [ TEXT ] | Available_Policies : Policy_ID [ INT ] primary_key , policy_type_code [ TEXT ] , Customer_Phone [ TEXT ] | Customers_Policies : Customer_ID [ INT ] primary_key Customers_Policies.Customer_ID = Customers.Customer_ID , Policy_ID [ INT ] Customers_Policies.Policy_ID = Available_Policies.Policy_ID , Date_Opened [ TEXT ] , Date_Closed [ TEXT ] | First_Notification_of_Loss : FNOL_ID [ INT ] primary_key , Customer_ID [ INT ] First_Notification_of_Loss.Customer_ID = Customers_Policies.Customer_ID , Policy_ID [ INT ] First_Notification_of_Loss.Policy_ID = Customers_Policies.Policy_ID , Service_ID [ INT ] First_Notification_of_Loss.Service_ID = Services.Service_ID | Claims : Claim_ID [ INT ] primary_key , FNOL_ID [ INT ] Claims.FNOL_ID = First_Notification_of_Loss.FNOL_ID , Effective_Date [ TEXT ] | Settlements : Settlement_ID [ INT ] primary_key , Claim_ID [ INT ] Settlements.Claim_ID = Claims.Claim_ID , Effective_Date [ TEXT ] , Settlement_Amount [ INT ] |
-- -- Find the names of users who do not have a first notification of loss record.
| SELECT customer_name FROM customers EXCEPT SELECT t1.customer_name FROM customers AS t1 JOIN first_notification_of_loss AS t2 ON t1.customer_id = t2.customer_id; |
-- Database schema
| Customers : Customer_ID [ INT ] primary_key , Customer_name [ TEXT ] | Services : Service_ID [ INT ] primary_key , Service_name [ TEXT ] | Available_Policies : Policy_ID [ INT ] primary_key , policy_type_code [ TEXT ] , Customer_Phone [ TEXT ] | Customers_Policies : Customer_ID [ INT ] primary_key Customers_Policies.Customer_ID = Customers.Customer_ID , Policy_ID [ INT ] Customers_Policies.Policy_ID = Available_Policies.Policy_ID , Date_Opened [ TEXT ] , Date_Closed [ TEXT ] | First_Notification_of_Loss : FNOL_ID [ INT ] primary_key , Customer_ID [ INT ] First_Notification_of_Loss.Customer_ID = Customers_Policies.Customer_ID , Policy_ID [ INT ] First_Notification_of_Loss.Policy_ID = Customers_Policies.Policy_ID , Service_ID [ INT ] First_Notification_of_Loss.Service_ID = Services.Service_ID | Claims : Claim_ID [ INT ] primary_key , FNOL_ID [ INT ] Claims.FNOL_ID = First_Notification_of_Loss.FNOL_ID , Effective_Date [ TEXT ] | Settlements : Settlement_ID [ INT ] primary_key , Claim_ID [ INT ] Settlements.Claim_ID = Claims.Claim_ID , Effective_Date [ TEXT ] , Settlement_Amount [ INT ] |
-- -- Which customers do not have a first notification of loss record? Give me the customer names.
| SELECT customer_name FROM customers EXCEPT SELECT t1.customer_name FROM customers AS t1 JOIN first_notification_of_loss AS t2 ON t1.customer_id = t2.customer_id; |
-- Database schema
| Customers : Customer_ID [ INT ] primary_key , Customer_name [ TEXT ] | Services : Service_ID [ INT ] primary_key , Service_name [ TEXT ] | Available_Policies : Policy_ID [ INT ] primary_key , policy_type_code [ TEXT ] , Customer_Phone [ TEXT ] | Customers_Policies : Customer_ID [ INT ] primary_key Customers_Policies.Customer_ID = Customers.Customer_ID , Policy_ID [ INT ] Customers_Policies.Policy_ID = Available_Policies.Policy_ID , Date_Opened [ TEXT ] , Date_Closed [ TEXT ] | First_Notification_of_Loss : FNOL_ID [ INT ] primary_key , Customer_ID [ INT ] First_Notification_of_Loss.Customer_ID = Customers_Policies.Customer_ID , Policy_ID [ INT ] First_Notification_of_Loss.Policy_ID = Customers_Policies.Policy_ID , Service_ID [ INT ] First_Notification_of_Loss.Service_ID = Services.Service_ID | Claims : Claim_ID [ INT ] primary_key , FNOL_ID [ INT ] Claims.FNOL_ID = First_Notification_of_Loss.FNOL_ID , Effective_Date [ TEXT ] | Settlements : Settlement_ID [ INT ] primary_key , Claim_ID [ INT ] Settlements.Claim_ID = Claims.Claim_ID , Effective_Date [ TEXT ] , Settlement_Amount [ INT ] |
-- -- Find the names of customers who have used either the service "Close a policy" or the service "Upgrade a policy".
| SELECT t1.customer_name FROM customers AS t1 JOIN first_notification_of_loss AS t2 ON t1.customer_id = t2.customer_id JOIN services AS t3 ON t2.service_id = t3.service_id WHERE t3.service_name = "Close a policy" OR t3.service_name = "Upgrade a policy"; |
-- Database schema
| Customers : Customer_ID [ INT ] primary_key , Customer_name [ TEXT ] | Services : Service_ID [ INT ] primary_key , Service_name [ TEXT ] | Available_Policies : Policy_ID [ INT ] primary_key , policy_type_code [ TEXT ] , Customer_Phone [ TEXT ] | Customers_Policies : Customer_ID [ INT ] primary_key Customers_Policies.Customer_ID = Customers.Customer_ID , Policy_ID [ INT ] Customers_Policies.Policy_ID = Available_Policies.Policy_ID , Date_Opened [ TEXT ] , Date_Closed [ TEXT ] | First_Notification_of_Loss : FNOL_ID [ INT ] primary_key , Customer_ID [ INT ] First_Notification_of_Loss.Customer_ID = Customers_Policies.Customer_ID , Policy_ID [ INT ] First_Notification_of_Loss.Policy_ID = Customers_Policies.Policy_ID , Service_ID [ INT ] First_Notification_of_Loss.Service_ID = Services.Service_ID | Claims : Claim_ID [ INT ] primary_key , FNOL_ID [ INT ] Claims.FNOL_ID = First_Notification_of_Loss.FNOL_ID , Effective_Date [ TEXT ] | Settlements : Settlement_ID [ INT ] primary_key , Claim_ID [ INT ] Settlements.Claim_ID = Claims.Claim_ID , Effective_Date [ TEXT ] , Settlement_Amount [ INT ] |
-- -- Which customers have used the service named "Close a policy" or "Upgrade a policy"? Give me the customer names.
| SELECT t1.customer_name FROM customers AS t1 JOIN first_notification_of_loss AS t2 ON t1.customer_id = t2.customer_id JOIN services AS t3 ON t2.service_id = t3.service_id WHERE t3.service_name = "Close a policy" OR t3.service_name = "Upgrade a policy"; |
-- Database schema
| Customers : Customer_ID [ INT ] primary_key , Customer_name [ TEXT ] | Services : Service_ID [ INT ] primary_key , Service_name [ TEXT ] | Available_Policies : Policy_ID [ INT ] primary_key , policy_type_code [ TEXT ] , Customer_Phone [ TEXT ] | Customers_Policies : Customer_ID [ INT ] primary_key Customers_Policies.Customer_ID = Customers.Customer_ID , Policy_ID [ INT ] Customers_Policies.Policy_ID = Available_Policies.Policy_ID , Date_Opened [ TEXT ] , Date_Closed [ TEXT ] | First_Notification_of_Loss : FNOL_ID [ INT ] primary_key , Customer_ID [ INT ] First_Notification_of_Loss.Customer_ID = Customers_Policies.Customer_ID , Policy_ID [ INT ] First_Notification_of_Loss.Policy_ID = Customers_Policies.Policy_ID , Service_ID [ INT ] First_Notification_of_Loss.Service_ID = Services.Service_ID | Claims : Claim_ID [ INT ] primary_key , FNOL_ID [ INT ] Claims.FNOL_ID = First_Notification_of_Loss.FNOL_ID , Effective_Date [ TEXT ] | Settlements : Settlement_ID [ INT ] primary_key , Claim_ID [ INT ] Settlements.Claim_ID = Claims.Claim_ID , Effective_Date [ TEXT ] , Settlement_Amount [ INT ] |
-- -- Find the names of customers who have used both the service "Close a policy" and the service "New policy application".
| SELECT t1.customer_name FROM customers AS t1 JOIN first_notification_of_loss AS t2 ON t1.customer_id = t2.customer_id JOIN services AS t3 ON t2.service_id = t3.service_id WHERE t3.service_name = "Close a policy" INTERSECT SELECT t1.customer_name FROM customers AS t1 JOIN first_notification_of_loss AS t2 ON t1.customer_id = t2.customer_id JOIN services AS t3 ON t2.service_id = t3.service_id WHERE t3.service_name = "New policy application"; |
-- Database schema
| Customers : Customer_ID [ INT ] primary_key , Customer_name [ TEXT ] | Services : Service_ID [ INT ] primary_key , Service_name [ TEXT ] | Available_Policies : Policy_ID [ INT ] primary_key , policy_type_code [ TEXT ] , Customer_Phone [ TEXT ] | Customers_Policies : Customer_ID [ INT ] primary_key Customers_Policies.Customer_ID = Customers.Customer_ID , Policy_ID [ INT ] Customers_Policies.Policy_ID = Available_Policies.Policy_ID , Date_Opened [ TEXT ] , Date_Closed [ TEXT ] | First_Notification_of_Loss : FNOL_ID [ INT ] primary_key , Customer_ID [ INT ] First_Notification_of_Loss.Customer_ID = Customers_Policies.Customer_ID , Policy_ID [ INT ] First_Notification_of_Loss.Policy_ID = Customers_Policies.Policy_ID , Service_ID [ INT ] First_Notification_of_Loss.Service_ID = Services.Service_ID | Claims : Claim_ID [ INT ] primary_key , FNOL_ID [ INT ] Claims.FNOL_ID = First_Notification_of_Loss.FNOL_ID , Effective_Date [ TEXT ] | Settlements : Settlement_ID [ INT ] primary_key , Claim_ID [ INT ] Settlements.Claim_ID = Claims.Claim_ID , Effective_Date [ TEXT ] , Settlement_Amount [ INT ] |
-- -- Which customers have used both the service named "Close a policy" and the service named "Upgrade a policy"? Give me the customer names.
| SELECT t1.customer_name FROM customers AS t1 JOIN first_notification_of_loss AS t2 ON t1.customer_id = t2.customer_id JOIN services AS t3 ON t2.service_id = t3.service_id WHERE t3.service_name = "Close a policy" INTERSECT SELECT t1.customer_name FROM customers AS t1 JOIN first_notification_of_loss AS t2 ON t1.customer_id = t2.customer_id JOIN services AS t3 ON t2.service_id = t3.service_id WHERE t3.service_name = "New policy application"; |
-- Database schema
| Customers : Customer_ID [ INT ] primary_key , Customer_name [ TEXT ] | Services : Service_ID [ INT ] primary_key , Service_name [ TEXT ] | Available_Policies : Policy_ID [ INT ] primary_key , policy_type_code [ TEXT ] , Customer_Phone [ TEXT ] | Customers_Policies : Customer_ID [ INT ] primary_key Customers_Policies.Customer_ID = Customers.Customer_ID , Policy_ID [ INT ] Customers_Policies.Policy_ID = Available_Policies.Policy_ID , Date_Opened [ TEXT ] , Date_Closed [ TEXT ] | First_Notification_of_Loss : FNOL_ID [ INT ] primary_key , Customer_ID [ INT ] First_Notification_of_Loss.Customer_ID = Customers_Policies.Customer_ID , Policy_ID [ INT ] First_Notification_of_Loss.Policy_ID = Customers_Policies.Policy_ID , Service_ID [ INT ] First_Notification_of_Loss.Service_ID = Services.Service_ID | Claims : Claim_ID [ INT ] primary_key , FNOL_ID [ INT ] Claims.FNOL_ID = First_Notification_of_Loss.FNOL_ID , Effective_Date [ TEXT ] | Settlements : Settlement_ID [ INT ] primary_key , Claim_ID [ INT ] Settlements.Claim_ID = Claims.Claim_ID , Effective_Date [ TEXT ] , Settlement_Amount [ INT ] |
-- -- Find the IDs of customers whose name contains "Diana".
| SELECT customer_id FROM customers WHERE customer_name LIKE "%Diana%"; |
-- Database schema
| Customers : Customer_ID [ INT ] primary_key , Customer_name [ TEXT ] | Services : Service_ID [ INT ] primary_key , Service_name [ TEXT ] | Available_Policies : Policy_ID [ INT ] primary_key , policy_type_code [ TEXT ] , Customer_Phone [ TEXT ] | Customers_Policies : Customer_ID [ INT ] primary_key Customers_Policies.Customer_ID = Customers.Customer_ID , Policy_ID [ INT ] Customers_Policies.Policy_ID = Available_Policies.Policy_ID , Date_Opened [ TEXT ] , Date_Closed [ TEXT ] | First_Notification_of_Loss : FNOL_ID [ INT ] primary_key , Customer_ID [ INT ] First_Notification_of_Loss.Customer_ID = Customers_Policies.Customer_ID , Policy_ID [ INT ] First_Notification_of_Loss.Policy_ID = Customers_Policies.Policy_ID , Service_ID [ INT ] First_Notification_of_Loss.Service_ID = Services.Service_ID | Claims : Claim_ID [ INT ] primary_key , FNOL_ID [ INT ] Claims.FNOL_ID = First_Notification_of_Loss.FNOL_ID , Effective_Date [ TEXT ] | Settlements : Settlement_ID [ INT ] primary_key , Claim_ID [ INT ] Settlements.Claim_ID = Claims.Claim_ID , Effective_Date [ TEXT ] , Settlement_Amount [ INT ] |
-- -- What are the IDs of customers who have "Diana" in part of their names?
| SELECT customer_id FROM customers WHERE customer_name LIKE "%Diana%"; |
-- Database schema
| Customers : Customer_ID [ INT ] primary_key , Customer_name [ TEXT ] | Services : Service_ID [ INT ] primary_key , Service_name [ TEXT ] | Available_Policies : Policy_ID [ INT ] primary_key , policy_type_code [ TEXT ] , Customer_Phone [ TEXT ] | Customers_Policies : Customer_ID [ INT ] primary_key Customers_Policies.Customer_ID = Customers.Customer_ID , Policy_ID [ INT ] Customers_Policies.Policy_ID = Available_Policies.Policy_ID , Date_Opened [ TEXT ] , Date_Closed [ TEXT ] | First_Notification_of_Loss : FNOL_ID [ INT ] primary_key , Customer_ID [ INT ] First_Notification_of_Loss.Customer_ID = Customers_Policies.Customer_ID , Policy_ID [ INT ] First_Notification_of_Loss.Policy_ID = Customers_Policies.Policy_ID , Service_ID [ INT ] First_Notification_of_Loss.Service_ID = Services.Service_ID | Claims : Claim_ID [ INT ] primary_key , FNOL_ID [ INT ] Claims.FNOL_ID = First_Notification_of_Loss.FNOL_ID , Effective_Date [ TEXT ] | Settlements : Settlement_ID [ INT ] primary_key , Claim_ID [ INT ] Settlements.Claim_ID = Claims.Claim_ID , Effective_Date [ TEXT ] , Settlement_Amount [ INT ] |
-- -- What are the maximum and minimum settlement amount on record?
| SELECT max(settlement_amount) , min(settlement_amount) FROM settlements; |
-- Database schema
| Customers : Customer_ID [ INT ] primary_key , Customer_name [ TEXT ] | Services : Service_ID [ INT ] primary_key , Service_name [ TEXT ] | Available_Policies : Policy_ID [ INT ] primary_key , policy_type_code [ TEXT ] , Customer_Phone [ TEXT ] | Customers_Policies : Customer_ID [ INT ] primary_key Customers_Policies.Customer_ID = Customers.Customer_ID , Policy_ID [ INT ] Customers_Policies.Policy_ID = Available_Policies.Policy_ID , Date_Opened [ TEXT ] , Date_Closed [ TEXT ] | First_Notification_of_Loss : FNOL_ID [ INT ] primary_key , Customer_ID [ INT ] First_Notification_of_Loss.Customer_ID = Customers_Policies.Customer_ID , Policy_ID [ INT ] First_Notification_of_Loss.Policy_ID = Customers_Policies.Policy_ID , Service_ID [ INT ] First_Notification_of_Loss.Service_ID = Services.Service_ID | Claims : Claim_ID [ INT ] primary_key , FNOL_ID [ INT ] Claims.FNOL_ID = First_Notification_of_Loss.FNOL_ID , Effective_Date [ TEXT ] | Settlements : Settlement_ID [ INT ] primary_key , Claim_ID [ INT ] Settlements.Claim_ID = Claims.Claim_ID , Effective_Date [ TEXT ] , Settlement_Amount [ INT ] |
-- -- Find the maximum and minimum settlement amount.
| SELECT max(settlement_amount) , min(settlement_amount) FROM settlements; |
-- Database schema
| Customers : Customer_ID [ INT ] primary_key , Customer_name [ TEXT ] | Services : Service_ID [ INT ] primary_key , Service_name [ TEXT ] | Available_Policies : Policy_ID [ INT ] primary_key , policy_type_code [ TEXT ] , Customer_Phone [ TEXT ] | Customers_Policies : Customer_ID [ INT ] primary_key Customers_Policies.Customer_ID = Customers.Customer_ID , Policy_ID [ INT ] Customers_Policies.Policy_ID = Available_Policies.Policy_ID , Date_Opened [ TEXT ] , Date_Closed [ TEXT ] | First_Notification_of_Loss : FNOL_ID [ INT ] primary_key , Customer_ID [ INT ] First_Notification_of_Loss.Customer_ID = Customers_Policies.Customer_ID , Policy_ID [ INT ] First_Notification_of_Loss.Policy_ID = Customers_Policies.Policy_ID , Service_ID [ INT ] First_Notification_of_Loss.Service_ID = Services.Service_ID | Claims : Claim_ID [ INT ] primary_key , FNOL_ID [ INT ] Claims.FNOL_ID = First_Notification_of_Loss.FNOL_ID , Effective_Date [ TEXT ] | Settlements : Settlement_ID [ INT ] primary_key , Claim_ID [ INT ] Settlements.Claim_ID = Claims.Claim_ID , Effective_Date [ TEXT ] , Settlement_Amount [ INT ] |
-- -- List all the customers in increasing order of IDs.
| SELECT customer_id , customer_name FROM customers ORDER BY customer_id ASC; |
-- Database schema
| Customers : Customer_ID [ INT ] primary_key , Customer_name [ TEXT ] | Services : Service_ID [ INT ] primary_key , Service_name [ TEXT ] | Available_Policies : Policy_ID [ INT ] primary_key , policy_type_code [ TEXT ] , Customer_Phone [ TEXT ] | Customers_Policies : Customer_ID [ INT ] primary_key Customers_Policies.Customer_ID = Customers.Customer_ID , Policy_ID [ INT ] Customers_Policies.Policy_ID = Available_Policies.Policy_ID , Date_Opened [ TEXT ] , Date_Closed [ TEXT ] | First_Notification_of_Loss : FNOL_ID [ INT ] primary_key , Customer_ID [ INT ] First_Notification_of_Loss.Customer_ID = Customers_Policies.Customer_ID , Policy_ID [ INT ] First_Notification_of_Loss.Policy_ID = Customers_Policies.Policy_ID , Service_ID [ INT ] First_Notification_of_Loss.Service_ID = Services.Service_ID | Claims : Claim_ID [ INT ] primary_key , FNOL_ID [ INT ] Claims.FNOL_ID = First_Notification_of_Loss.FNOL_ID , Effective_Date [ TEXT ] | Settlements : Settlement_ID [ INT ] primary_key , Claim_ID [ INT ] Settlements.Claim_ID = Claims.Claim_ID , Effective_Date [ TEXT ] , Settlement_Amount [ INT ] |
-- -- What is the ordered list of customer ids?
| SELECT customer_id , customer_name FROM customers ORDER BY customer_id ASC; |
-- Database schema
| Customers : Customer_ID [ INT ] primary_key , Customer_name [ TEXT ] | Services : Service_ID [ INT ] primary_key , Service_name [ TEXT ] | Available_Policies : Policy_ID [ INT ] primary_key , policy_type_code [ TEXT ] , Customer_Phone [ TEXT ] | Customers_Policies : Customer_ID [ INT ] primary_key Customers_Policies.Customer_ID = Customers.Customer_ID , Policy_ID [ INT ] Customers_Policies.Policy_ID = Available_Policies.Policy_ID , Date_Opened [ TEXT ] , Date_Closed [ TEXT ] | First_Notification_of_Loss : FNOL_ID [ INT ] primary_key , Customer_ID [ INT ] First_Notification_of_Loss.Customer_ID = Customers_Policies.Customer_ID , Policy_ID [ INT ] First_Notification_of_Loss.Policy_ID = Customers_Policies.Policy_ID , Service_ID [ INT ] First_Notification_of_Loss.Service_ID = Services.Service_ID | Claims : Claim_ID [ INT ] primary_key , FNOL_ID [ INT ] Claims.FNOL_ID = First_Notification_of_Loss.FNOL_ID , Effective_Date [ TEXT ] | Settlements : Settlement_ID [ INT ] primary_key , Claim_ID [ INT ] Settlements.Claim_ID = Claims.Claim_ID , Effective_Date [ TEXT ] , Settlement_Amount [ INT ] |
-- -- Retrieve the open and close dates of all the policies associated with the customer whose name contains "Diana"
| SELECT t2.date_opened , t2.date_closed FROM customers AS t1 JOIN customers_policies AS t2 ON t1.customer_id = t2.customer_id WHERE t1.customer_name LIKE "%Diana%"; |
-- Database schema
| Customers : Customer_ID [ INT ] primary_key , Customer_name [ TEXT ] | Services : Service_ID [ INT ] primary_key , Service_name [ TEXT ] | Available_Policies : Policy_ID [ INT ] primary_key , policy_type_code [ TEXT ] , Customer_Phone [ TEXT ] | Customers_Policies : Customer_ID [ INT ] primary_key Customers_Policies.Customer_ID = Customers.Customer_ID , Policy_ID [ INT ] Customers_Policies.Policy_ID = Available_Policies.Policy_ID , Date_Opened [ TEXT ] , Date_Closed [ TEXT ] | First_Notification_of_Loss : FNOL_ID [ INT ] primary_key , Customer_ID [ INT ] First_Notification_of_Loss.Customer_ID = Customers_Policies.Customer_ID , Policy_ID [ INT ] First_Notification_of_Loss.Policy_ID = Customers_Policies.Policy_ID , Service_ID [ INT ] First_Notification_of_Loss.Service_ID = Services.Service_ID | Claims : Claim_ID [ INT ] primary_key , FNOL_ID [ INT ] Claims.FNOL_ID = First_Notification_of_Loss.FNOL_ID , Effective_Date [ TEXT ] | Settlements : Settlement_ID [ INT ] primary_key , Claim_ID [ INT ] Settlements.Claim_ID = Claims.Claim_ID , Effective_Date [ TEXT ] , Settlement_Amount [ INT ] |
-- -- What are the open and close dates of all the policies used by the customer who have "Diana" in part of their names?
| SELECT t2.date_opened , t2.date_closed FROM customers AS t1 JOIN customers_policies AS t2 ON t1.customer_id = t2.customer_id WHERE t1.customer_name LIKE "%Diana%"; |
-- Database schema
| medicine : id [ INT ] primary_key , name [ TEXT ] , Trade_Name [ TEXT ] , FDA_approved [ TEXT ] | enzyme : id [ INT ] primary_key , name [ TEXT ] , Location [ TEXT ] , Product [ TEXT ] , Chromosome [ TEXT ] , OMIM [ INT ] , Porphyria [ TEXT ] | medicine_enzyme_interaction : enzyme_id [ INT ] primary_key medicine_enzyme_interaction.enzyme_id = enzyme.id , medicine_id [ INT ] medicine_enzyme_interaction.medicine_id = medicine.id , interaction_type [ TEXT ] |
-- -- How many kinds of enzymes are there?
| SELECT count(*) FROM enzyme; |
-- Database schema
| medicine : id [ INT ] primary_key , name [ TEXT ] , Trade_Name [ TEXT ] , FDA_approved [ TEXT ] | enzyme : id [ INT ] primary_key , name [ TEXT ] , Location [ TEXT ] , Product [ TEXT ] , Chromosome [ TEXT ] , OMIM [ INT ] , Porphyria [ TEXT ] | medicine_enzyme_interaction : enzyme_id [ INT ] primary_key medicine_enzyme_interaction.enzyme_id = enzyme.id , medicine_id [ INT ] medicine_enzyme_interaction.medicine_id = medicine.id , interaction_type [ TEXT ] |
-- -- What is the total count of enzymes?
| SELECT count(*) FROM enzyme; |
-- Database schema
| medicine : id [ INT ] primary_key , name [ TEXT ] , Trade_Name [ TEXT ] , FDA_approved [ TEXT ] | enzyme : id [ INT ] primary_key , name [ TEXT ] , Location [ TEXT ] , Product [ TEXT ] , Chromosome [ TEXT ] , OMIM [ INT ] , Porphyria [ TEXT ] | medicine_enzyme_interaction : enzyme_id [ INT ] primary_key medicine_enzyme_interaction.enzyme_id = enzyme.id , medicine_id [ INT ] medicine_enzyme_interaction.medicine_id = medicine.id , interaction_type [ TEXT ] |
-- -- List the name of enzymes in descending lexicographical order.
| SELECT name FROM enzyme ORDER BY name DESC; |
-- Database schema
| medicine : id [ INT ] primary_key , name [ TEXT ] , Trade_Name [ TEXT ] , FDA_approved [ TEXT ] | enzyme : id [ INT ] primary_key , name [ TEXT ] , Location [ TEXT ] , Product [ TEXT ] , Chromosome [ TEXT ] , OMIM [ INT ] , Porphyria [ TEXT ] | medicine_enzyme_interaction : enzyme_id [ INT ] primary_key medicine_enzyme_interaction.enzyme_id = enzyme.id , medicine_id [ INT ] medicine_enzyme_interaction.medicine_id = medicine.id , interaction_type [ TEXT ] |
-- -- What are the names of enzymes in descending order?
| SELECT name FROM enzyme ORDER BY name DESC; |
-- Database schema
| medicine : id [ INT ] primary_key , name [ TEXT ] , Trade_Name [ TEXT ] , FDA_approved [ TEXT ] | enzyme : id [ INT ] primary_key , name [ TEXT ] , Location [ TEXT ] , Product [ TEXT ] , Chromosome [ TEXT ] , OMIM [ INT ] , Porphyria [ TEXT ] | medicine_enzyme_interaction : enzyme_id [ INT ] primary_key medicine_enzyme_interaction.enzyme_id = enzyme.id , medicine_id [ INT ] medicine_enzyme_interaction.medicine_id = medicine.id , interaction_type [ TEXT ] |
-- -- List the names and the locations that the enzymes can make an effect.
| SELECT name , LOCATION FROM enzyme; |
-- Database schema
| medicine : id [ INT ] primary_key , name [ TEXT ] , Trade_Name [ TEXT ] , FDA_approved [ TEXT ] | enzyme : id [ INT ] primary_key , name [ TEXT ] , Location [ TEXT ] , Product [ TEXT ] , Chromosome [ TEXT ] , OMIM [ INT ] , Porphyria [ TEXT ] | medicine_enzyme_interaction : enzyme_id [ INT ] primary_key medicine_enzyme_interaction.enzyme_id = enzyme.id , medicine_id [ INT ] medicine_enzyme_interaction.medicine_id = medicine.id , interaction_type [ TEXT ] |
-- -- What are the names and locations of all enzymes listed?
| SELECT name , LOCATION FROM enzyme; |
-- Database schema
| medicine : id [ INT ] primary_key , name [ TEXT ] , Trade_Name [ TEXT ] , FDA_approved [ TEXT ] | enzyme : id [ INT ] primary_key , name [ TEXT ] , Location [ TEXT ] , Product [ TEXT ] , Chromosome [ TEXT ] , OMIM [ INT ] , Porphyria [ TEXT ] | medicine_enzyme_interaction : enzyme_id [ INT ] primary_key medicine_enzyme_interaction.enzyme_id = enzyme.id , medicine_id [ INT ] medicine_enzyme_interaction.medicine_id = medicine.id , interaction_type [ TEXT ] |
-- -- What is the maximum Online Mendelian Inheritance in Man (OMIM) value of the enzymes?
| SELECT max(OMIM) FROM enzyme; |
-- Database schema
| medicine : id [ INT ] primary_key , name [ TEXT ] , Trade_Name [ TEXT ] , FDA_approved [ TEXT ] | enzyme : id [ INT ] primary_key , name [ TEXT ] , Location [ TEXT ] , Product [ TEXT ] , Chromosome [ TEXT ] , OMIM [ INT ] , Porphyria [ TEXT ] | medicine_enzyme_interaction : enzyme_id [ INT ] primary_key medicine_enzyme_interaction.enzyme_id = enzyme.id , medicine_id [ INT ] medicine_enzyme_interaction.medicine_id = medicine.id , interaction_type [ TEXT ] |
-- -- What is the maximum OMIM value in the database?
| SELECT max(OMIM) FROM enzyme; |
-- Database schema
| medicine : id [ INT ] primary_key , name [ TEXT ] , Trade_Name [ TEXT ] , FDA_approved [ TEXT ] | enzyme : id [ INT ] primary_key , name [ TEXT ] , Location [ TEXT ] , Product [ TEXT ] , Chromosome [ TEXT ] , OMIM [ INT ] , Porphyria [ TEXT ] | medicine_enzyme_interaction : enzyme_id [ INT ] primary_key medicine_enzyme_interaction.enzyme_id = enzyme.id , medicine_id [ INT ] medicine_enzyme_interaction.medicine_id = medicine.id , interaction_type [ TEXT ] |
-- -- What is the product, chromosome and porphyria related to the enzymes which take effect at the location 'Cytosol'?
| SELECT product , chromosome , porphyria FROM enzyme WHERE LOCATION = 'Cytosol'; |
-- Database schema
| medicine : id [ INT ] primary_key , name [ TEXT ] , Trade_Name [ TEXT ] , FDA_approved [ TEXT ] | enzyme : id [ INT ] primary_key , name [ TEXT ] , Location [ TEXT ] , Product [ TEXT ] , Chromosome [ TEXT ] , OMIM [ INT ] , Porphyria [ TEXT ] | medicine_enzyme_interaction : enzyme_id [ INT ] primary_key medicine_enzyme_interaction.enzyme_id = enzyme.id , medicine_id [ INT ] medicine_enzyme_interaction.medicine_id = medicine.id , interaction_type [ TEXT ] |
-- -- What is the product, chromosome, and porphyria of the enzymes located at 'Cytosol'?
| SELECT product , chromosome , porphyria FROM enzyme WHERE LOCATION = 'Cytosol'; |
-- Database schema
| medicine : id [ INT ] primary_key , name [ TEXT ] , Trade_Name [ TEXT ] , FDA_approved [ TEXT ] | enzyme : id [ INT ] primary_key , name [ TEXT ] , Location [ TEXT ] , Product [ TEXT ] , Chromosome [ TEXT ] , OMIM [ INT ] , Porphyria [ TEXT ] | medicine_enzyme_interaction : enzyme_id [ INT ] primary_key medicine_enzyme_interaction.enzyme_id = enzyme.id , medicine_id [ INT ] medicine_enzyme_interaction.medicine_id = medicine.id , interaction_type [ TEXT ] |
-- -- What are the names of enzymes who does not produce 'Heme'?
| SELECT name FROM enzyme WHERE product != 'Heme'; |
-- Database schema
| medicine : id [ INT ] primary_key , name [ TEXT ] , Trade_Name [ TEXT ] , FDA_approved [ TEXT ] | enzyme : id [ INT ] primary_key , name [ TEXT ] , Location [ TEXT ] , Product [ TEXT ] , Chromosome [ TEXT ] , OMIM [ INT ] , Porphyria [ TEXT ] | medicine_enzyme_interaction : enzyme_id [ INT ] primary_key medicine_enzyme_interaction.enzyme_id = enzyme.id , medicine_id [ INT ] medicine_enzyme_interaction.medicine_id = medicine.id , interaction_type [ TEXT ] |
-- -- What are the names of enzymes whose product is not 'Heme'?
| SELECT name FROM enzyme WHERE product != 'Heme'; |
-- Database schema
| medicine : id [ INT ] primary_key , name [ TEXT ] , Trade_Name [ TEXT ] , FDA_approved [ TEXT ] | enzyme : id [ INT ] primary_key , name [ TEXT ] , Location [ TEXT ] , Product [ TEXT ] , Chromosome [ TEXT ] , OMIM [ INT ] , Porphyria [ TEXT ] | medicine_enzyme_interaction : enzyme_id [ INT ] primary_key medicine_enzyme_interaction.enzyme_id = enzyme.id , medicine_id [ INT ] medicine_enzyme_interaction.medicine_id = medicine.id , interaction_type [ TEXT ] |
-- -- What are the names and trade names of the medicines which has 'Yes' value in the FDA record?
| SELECT name , trade_name FROM medicine WHERE FDA_approved = 'Yes'; |
-- Database schema
| medicine : id [ INT ] primary_key , name [ TEXT ] , Trade_Name [ TEXT ] , FDA_approved [ TEXT ] | enzyme : id [ INT ] primary_key , name [ TEXT ] , Location [ TEXT ] , Product [ TEXT ] , Chromosome [ TEXT ] , OMIM [ INT ] , Porphyria [ TEXT ] | medicine_enzyme_interaction : enzyme_id [ INT ] primary_key medicine_enzyme_interaction.enzyme_id = enzyme.id , medicine_id [ INT ] medicine_enzyme_interaction.medicine_id = medicine.id , interaction_type [ TEXT ] |
-- -- What are the names and trade names of the medcines that are FDA approved?
| SELECT name , trade_name FROM medicine WHERE FDA_approved = 'Yes'; |
-- Database schema
| medicine : id [ INT ] primary_key , name [ TEXT ] , Trade_Name [ TEXT ] , FDA_approved [ TEXT ] | enzyme : id [ INT ] primary_key , name [ TEXT ] , Location [ TEXT ] , Product [ TEXT ] , Chromosome [ TEXT ] , OMIM [ INT ] , Porphyria [ TEXT ] | medicine_enzyme_interaction : enzyme_id [ INT ] primary_key medicine_enzyme_interaction.enzyme_id = enzyme.id , medicine_id [ INT ] medicine_enzyme_interaction.medicine_id = medicine.id , interaction_type [ TEXT ] |
-- -- What are the names of enzymes in the medicine named 'Amisulpride' that can serve as an 'inhibitor'?
| SELECT T1.name FROM enzyme AS T1 JOIN medicine_enzyme_interaction AS T2 ON T1.id = T2.enzyme_id JOIN medicine AS T3 ON T2.medicine_id = T3.id WHERE T3.name = 'Amisulpride' AND T2.interaction_type = 'inhibitor'; |
-- Database schema
| medicine : id [ INT ] primary_key , name [ TEXT ] , Trade_Name [ TEXT ] , FDA_approved [ TEXT ] | enzyme : id [ INT ] primary_key , name [ TEXT ] , Location [ TEXT ] , Product [ TEXT ] , Chromosome [ TEXT ] , OMIM [ INT ] , Porphyria [ TEXT ] | medicine_enzyme_interaction : enzyme_id [ INT ] primary_key medicine_enzyme_interaction.enzyme_id = enzyme.id , medicine_id [ INT ] medicine_enzyme_interaction.medicine_id = medicine.id , interaction_type [ TEXT ] |
-- -- What are the names of the enzymes used in the medicine Amisulpride that acts as inhibitors?
| SELECT T1.name FROM enzyme AS T1 JOIN medicine_enzyme_interaction AS T2 ON T1.id = T2.enzyme_id JOIN medicine AS T3 ON T2.medicine_id = T3.id WHERE T3.name = 'Amisulpride' AND T2.interaction_type = 'inhibitor'; |
-- Database schema
| medicine : id [ INT ] primary_key , name [ TEXT ] , Trade_Name [ TEXT ] , FDA_approved [ TEXT ] | enzyme : id [ INT ] primary_key , name [ TEXT ] , Location [ TEXT ] , Product [ TEXT ] , Chromosome [ TEXT ] , OMIM [ INT ] , Porphyria [ TEXT ] | medicine_enzyme_interaction : enzyme_id [ INT ] primary_key medicine_enzyme_interaction.enzyme_id = enzyme.id , medicine_id [ INT ] medicine_enzyme_interaction.medicine_id = medicine.id , interaction_type [ TEXT ] |
-- -- What are the ids and names of the medicine that can interact with two or more enzymes?
| SELECT T1.id , T1.Name FROM medicine AS T1 JOIN medicine_enzyme_interaction AS T2 ON T2.medicine_id = T1.id GROUP BY T1.id HAVING count(*) >= 2; |
-- Database schema
| medicine : id [ INT ] primary_key , name [ TEXT ] , Trade_Name [ TEXT ] , FDA_approved [ TEXT ] | enzyme : id [ INT ] primary_key , name [ TEXT ] , Location [ TEXT ] , Product [ TEXT ] , Chromosome [ TEXT ] , OMIM [ INT ] , Porphyria [ TEXT ] | medicine_enzyme_interaction : enzyme_id [ INT ] primary_key medicine_enzyme_interaction.enzyme_id = enzyme.id , medicine_id [ INT ] medicine_enzyme_interaction.medicine_id = medicine.id , interaction_type [ TEXT ] |
-- -- For every medicine id, what are the names of the medicines that can interact with more than one enzyme?
| SELECT T1.id , T1.Name FROM medicine AS T1 JOIN medicine_enzyme_interaction AS T2 ON T2.medicine_id = T1.id GROUP BY T1.id HAVING count(*) >= 2; |
-- Database schema
| medicine : id [ INT ] primary_key , name [ TEXT ] , Trade_Name [ TEXT ] , FDA_approved [ TEXT ] | enzyme : id [ INT ] primary_key , name [ TEXT ] , Location [ TEXT ] , Product [ TEXT ] , Chromosome [ TEXT ] , OMIM [ INT ] , Porphyria [ TEXT ] | medicine_enzyme_interaction : enzyme_id [ INT ] primary_key medicine_enzyme_interaction.enzyme_id = enzyme.id , medicine_id [ INT ] medicine_enzyme_interaction.medicine_id = medicine.id , interaction_type [ TEXT ] |
-- -- What are the ids, names and FDA approval status of medicines in descending order of the number of enzymes that it can interact with.
| SELECT T1.id , T1.Name , T1.FDA_approved FROM medicine AS T1 JOIN medicine_enzyme_interaction AS T2 ON T2.medicine_id = T1.id GROUP BY T1.id ORDER BY count(*) DESC; |
-- Database schema
| medicine : id [ INT ] primary_key , name [ TEXT ] , Trade_Name [ TEXT ] , FDA_approved [ TEXT ] | enzyme : id [ INT ] primary_key , name [ TEXT ] , Location [ TEXT ] , Product [ TEXT ] , Chromosome [ TEXT ] , OMIM [ INT ] , Porphyria [ TEXT ] | medicine_enzyme_interaction : enzyme_id [ INT ] primary_key medicine_enzyme_interaction.enzyme_id = enzyme.id , medicine_id [ INT ] medicine_enzyme_interaction.medicine_id = medicine.id , interaction_type [ TEXT ] |
-- -- What are the ids, names, and FDA approval status for medicines ordered by descending number of possible enzyme interactions?
| SELECT T1.id , T1.Name , T1.FDA_approved FROM medicine AS T1 JOIN medicine_enzyme_interaction AS T2 ON T2.medicine_id = T1.id GROUP BY T1.id ORDER BY count(*) DESC; |
-- Database schema
| medicine : id [ INT ] primary_key , name [ TEXT ] , Trade_Name [ TEXT ] , FDA_approved [ TEXT ] | enzyme : id [ INT ] primary_key , name [ TEXT ] , Location [ TEXT ] , Product [ TEXT ] , Chromosome [ TEXT ] , OMIM [ INT ] , Porphyria [ TEXT ] | medicine_enzyme_interaction : enzyme_id [ INT ] primary_key medicine_enzyme_interaction.enzyme_id = enzyme.id , medicine_id [ INT ] medicine_enzyme_interaction.medicine_id = medicine.id , interaction_type [ TEXT ] |
-- -- What is the id and name of the enzyme with most number of medicines that can interact as 'activator'?
| SELECT T1.id , T1.name FROM enzyme AS T1 JOIN medicine_enzyme_interaction AS T2 ON T1.id = T2.enzyme_id WHERE T2.interaction_type = 'activitor' GROUP BY T1.id ORDER BY count(*) DESC LIMIT 1; |
-- Database schema
| medicine : id [ INT ] primary_key , name [ TEXT ] , Trade_Name [ TEXT ] , FDA_approved [ TEXT ] | enzyme : id [ INT ] primary_key , name [ TEXT ] , Location [ TEXT ] , Product [ TEXT ] , Chromosome [ TEXT ] , OMIM [ INT ] , Porphyria [ TEXT ] | medicine_enzyme_interaction : enzyme_id [ INT ] primary_key medicine_enzyme_interaction.enzyme_id = enzyme.id , medicine_id [ INT ] medicine_enzyme_interaction.medicine_id = medicine.id , interaction_type [ TEXT ] |
-- -- What is the id and name of the enzyme that can interact with the most medicines as an activator?
| SELECT T1.id , T1.name FROM enzyme AS T1 JOIN medicine_enzyme_interaction AS T2 ON T1.id = T2.enzyme_id WHERE T2.interaction_type = 'activitor' GROUP BY T1.id ORDER BY count(*) DESC LIMIT 1; |
-- Database schema
| medicine : id [ INT ] primary_key , name [ TEXT ] , Trade_Name [ TEXT ] , FDA_approved [ TEXT ] | enzyme : id [ INT ] primary_key , name [ TEXT ] , Location [ TEXT ] , Product [ TEXT ] , Chromosome [ TEXT ] , OMIM [ INT ] , Porphyria [ TEXT ] | medicine_enzyme_interaction : enzyme_id [ INT ] primary_key medicine_enzyme_interaction.enzyme_id = enzyme.id , medicine_id [ INT ] medicine_enzyme_interaction.medicine_id = medicine.id , interaction_type [ TEXT ] |
-- -- What is the interaction type of the enzyme named 'ALA synthase' and the medicine named 'Aripiprazole'?
| SELECT T1.interaction_type FROM medicine_enzyme_interaction AS T1 JOIN medicine AS T2 ON T1.medicine_id = T2.id JOIN enzyme AS T3 ON T1.enzyme_id = T3.id WHERE T3.name = 'ALA synthase' AND T2.name = 'Aripiprazole'; |
-- Database schema
| medicine : id [ INT ] primary_key , name [ TEXT ] , Trade_Name [ TEXT ] , FDA_approved [ TEXT ] | enzyme : id [ INT ] primary_key , name [ TEXT ] , Location [ TEXT ] , Product [ TEXT ] , Chromosome [ TEXT ] , OMIM [ INT ] , Porphyria [ TEXT ] | medicine_enzyme_interaction : enzyme_id [ INT ] primary_key medicine_enzyme_interaction.enzyme_id = enzyme.id , medicine_id [ INT ] medicine_enzyme_interaction.medicine_id = medicine.id , interaction_type [ TEXT ] |
-- -- What is the type of interaction for the enzyme named 'ALA synthase' and the medicine named 'Aripiprazole'?
| SELECT T1.interaction_type FROM medicine_enzyme_interaction AS T1 JOIN medicine AS T2 ON T1.medicine_id = T2.id JOIN enzyme AS T3 ON T1.enzyme_id = T3.id WHERE T3.name = 'ALA synthase' AND T2.name = 'Aripiprazole'; |
-- Database schema
| medicine : id [ INT ] primary_key , name [ TEXT ] , Trade_Name [ TEXT ] , FDA_approved [ TEXT ] | enzyme : id [ INT ] primary_key , name [ TEXT ] , Location [ TEXT ] , Product [ TEXT ] , Chromosome [ TEXT ] , OMIM [ INT ] , Porphyria [ TEXT ] | medicine_enzyme_interaction : enzyme_id [ INT ] primary_key medicine_enzyme_interaction.enzyme_id = enzyme.id , medicine_id [ INT ] medicine_enzyme_interaction.medicine_id = medicine.id , interaction_type [ TEXT ] |
-- -- What is the most common interaction type between enzymes and medicine? And how many are there?
| SELECT interaction_type , count(*) FROM medicine_enzyme_interaction GROUP BY interaction_type ORDER BY count(*) DESC LIMIT 1; |
-- Database schema
| medicine : id [ INT ] primary_key , name [ TEXT ] , Trade_Name [ TEXT ] , FDA_approved [ TEXT ] | enzyme : id [ INT ] primary_key , name [ TEXT ] , Location [ TEXT ] , Product [ TEXT ] , Chromosome [ TEXT ] , OMIM [ INT ] , Porphyria [ TEXT ] | medicine_enzyme_interaction : enzyme_id [ INT ] primary_key medicine_enzyme_interaction.enzyme_id = enzyme.id , medicine_id [ INT ] medicine_enzyme_interaction.medicine_id = medicine.id , interaction_type [ TEXT ] |
-- -- What are the most common types of interactions between enzymes and medicine, and how many types are there?
| SELECT interaction_type , count(*) FROM medicine_enzyme_interaction GROUP BY interaction_type ORDER BY count(*) DESC LIMIT 1; |
-- Database schema
| medicine : id [ INT ] primary_key , name [ TEXT ] , Trade_Name [ TEXT ] , FDA_approved [ TEXT ] | enzyme : id [ INT ] primary_key , name [ TEXT ] , Location [ TEXT ] , Product [ TEXT ] , Chromosome [ TEXT ] , OMIM [ INT ] , Porphyria [ TEXT ] | medicine_enzyme_interaction : enzyme_id [ INT ] primary_key medicine_enzyme_interaction.enzyme_id = enzyme.id , medicine_id [ INT ] medicine_enzyme_interaction.medicine_id = medicine.id , interaction_type [ TEXT ] |
-- -- How many medicines have the FDA approval status 'No' ?
| SELECT count(*) FROM medicine WHERE FDA_approved = 'No'; |
-- Database schema
| medicine : id [ INT ] primary_key , name [ TEXT ] , Trade_Name [ TEXT ] , FDA_approved [ TEXT ] | enzyme : id [ INT ] primary_key , name [ TEXT ] , Location [ TEXT ] , Product [ TEXT ] , Chromosome [ TEXT ] , OMIM [ INT ] , Porphyria [ TEXT ] | medicine_enzyme_interaction : enzyme_id [ INT ] primary_key medicine_enzyme_interaction.enzyme_id = enzyme.id , medicine_id [ INT ] medicine_enzyme_interaction.medicine_id = medicine.id , interaction_type [ TEXT ] |
-- -- How many medicines were not approved by the FDA?
| SELECT count(*) FROM medicine WHERE FDA_approved = 'No'; |
-- Database schema
| medicine : id [ INT ] primary_key , name [ TEXT ] , Trade_Name [ TEXT ] , FDA_approved [ TEXT ] | enzyme : id [ INT ] primary_key , name [ TEXT ] , Location [ TEXT ] , Product [ TEXT ] , Chromosome [ TEXT ] , OMIM [ INT ] , Porphyria [ TEXT ] | medicine_enzyme_interaction : enzyme_id [ INT ] primary_key medicine_enzyme_interaction.enzyme_id = enzyme.id , medicine_id [ INT ] medicine_enzyme_interaction.medicine_id = medicine.id , interaction_type [ TEXT ] |
-- -- How many enzymes do not have any interactions?
| SELECT count(*) FROM enzyme WHERE id NOT IN ( SELECT enzyme_id FROM medicine_enzyme_interaction ); |
-- Database schema
| medicine : id [ INT ] primary_key , name [ TEXT ] , Trade_Name [ TEXT ] , FDA_approved [ TEXT ] | enzyme : id [ INT ] primary_key , name [ TEXT ] , Location [ TEXT ] , Product [ TEXT ] , Chromosome [ TEXT ] , OMIM [ INT ] , Porphyria [ TEXT ] | medicine_enzyme_interaction : enzyme_id [ INT ] primary_key medicine_enzyme_interaction.enzyme_id = enzyme.id , medicine_id [ INT ] medicine_enzyme_interaction.medicine_id = medicine.id , interaction_type [ TEXT ] |
-- -- What is the count of enzymes without any interactions?
| SELECT count(*) FROM enzyme WHERE id NOT IN ( SELECT enzyme_id FROM medicine_enzyme_interaction ); |
-- Database schema
| medicine : id [ INT ] primary_key , name [ TEXT ] , Trade_Name [ TEXT ] , FDA_approved [ TEXT ] | enzyme : id [ INT ] primary_key , name [ TEXT ] , Location [ TEXT ] , Product [ TEXT ] , Chromosome [ TEXT ] , OMIM [ INT ] , Porphyria [ TEXT ] | medicine_enzyme_interaction : enzyme_id [ INT ] primary_key medicine_enzyme_interaction.enzyme_id = enzyme.id , medicine_id [ INT ] medicine_enzyme_interaction.medicine_id = medicine.id , interaction_type [ TEXT ] |
-- -- What is the id and trade name of the medicines can interact with at least 3 enzymes?
| SELECT T1.id , T1.trade_name FROM medicine AS T1 JOIN medicine_enzyme_interaction AS T2 ON T2.medicine_id = T1.id GROUP BY T1.id HAVING COUNT(*) >= 3; |
-- Database schema
| medicine : id [ INT ] primary_key , name [ TEXT ] , Trade_Name [ TEXT ] , FDA_approved [ TEXT ] | enzyme : id [ INT ] primary_key , name [ TEXT ] , Location [ TEXT ] , Product [ TEXT ] , Chromosome [ TEXT ] , OMIM [ INT ] , Porphyria [ TEXT ] | medicine_enzyme_interaction : enzyme_id [ INT ] primary_key medicine_enzyme_interaction.enzyme_id = enzyme.id , medicine_id [ INT ] medicine_enzyme_interaction.medicine_id = medicine.id , interaction_type [ TEXT ] |
-- -- What are the ids and trade names of the medicine that can interact with at least 3 enzymes?
| SELECT T1.id , T1.trade_name FROM medicine AS T1 JOIN medicine_enzyme_interaction AS T2 ON T2.medicine_id = T1.id GROUP BY T1.id HAVING COUNT(*) >= 3; |
-- Database schema
| medicine : id [ INT ] primary_key , name [ TEXT ] , Trade_Name [ TEXT ] , FDA_approved [ TEXT ] | enzyme : id [ INT ] primary_key , name [ TEXT ] , Location [ TEXT ] , Product [ TEXT ] , Chromosome [ TEXT ] , OMIM [ INT ] , Porphyria [ TEXT ] | medicine_enzyme_interaction : enzyme_id [ INT ] primary_key medicine_enzyme_interaction.enzyme_id = enzyme.id , medicine_id [ INT ] medicine_enzyme_interaction.medicine_id = medicine.id , interaction_type [ TEXT ] |
-- -- What are the distinct name, location and products of the enzymes which has any 'inhibitor' interaction?
| SELECT DISTINCT T1.name , T1.location , T1.product FROM enzyme AS T1 JOIN medicine_enzyme_interaction AS T2 ON T2.enzyme_id = T1.id WHERE T2.interaction_type = 'inhibitor'; |
-- Database schema
| medicine : id [ INT ] primary_key , name [ TEXT ] , Trade_Name [ TEXT ] , FDA_approved [ TEXT ] | enzyme : id [ INT ] primary_key , name [ TEXT ] , Location [ TEXT ] , Product [ TEXT ] , Chromosome [ TEXT ] , OMIM [ INT ] , Porphyria [ TEXT ] | medicine_enzyme_interaction : enzyme_id [ INT ] primary_key medicine_enzyme_interaction.enzyme_id = enzyme.id , medicine_id [ INT ] medicine_enzyme_interaction.medicine_id = medicine.id , interaction_type [ TEXT ] |
-- -- What are the different names, locations, and products of the enzymes that are capable inhibitor interactions?
| SELECT DISTINCT T1.name , T1.location , T1.product FROM enzyme AS T1 JOIN medicine_enzyme_interaction AS T2 ON T2.enzyme_id = T1.id WHERE T2.interaction_type = 'inhibitor'; |
-- Database schema
| medicine : id [ INT ] primary_key , name [ TEXT ] , Trade_Name [ TEXT ] , FDA_approved [ TEXT ] | enzyme : id [ INT ] primary_key , name [ TEXT ] , Location [ TEXT ] , Product [ TEXT ] , Chromosome [ TEXT ] , OMIM [ INT ] , Porphyria [ TEXT ] | medicine_enzyme_interaction : enzyme_id [ INT ] primary_key medicine_enzyme_interaction.enzyme_id = enzyme.id , medicine_id [ INT ] medicine_enzyme_interaction.medicine_id = medicine.id , interaction_type [ TEXT ] |
-- -- List the medicine name and trade name which can both interact as 'inhibitor' and 'activitor' with enzymes.
| SELECT T1.name , T1.trade_name FROM medicine AS T1 JOIN medicine_enzyme_interaction AS T2 ON T2.medicine_id = T1.id WHERE interaction_type = 'inhibitor' INTERSECT SELECT T1.name , T1.trade_name FROM medicine AS T1 JOIN medicine_enzyme_interaction AS T2 ON T2.medicine_id = T1.id WHERE interaction_type = 'activitor'; |
-- Database schema
| medicine : id [ INT ] primary_key , name [ TEXT ] , Trade_Name [ TEXT ] , FDA_approved [ TEXT ] | enzyme : id [ INT ] primary_key , name [ TEXT ] , Location [ TEXT ] , Product [ TEXT ] , Chromosome [ TEXT ] , OMIM [ INT ] , Porphyria [ TEXT ] | medicine_enzyme_interaction : enzyme_id [ INT ] primary_key medicine_enzyme_interaction.enzyme_id = enzyme.id , medicine_id [ INT ] medicine_enzyme_interaction.medicine_id = medicine.id , interaction_type [ TEXT ] |
-- -- What are the medicine and trade names that can interact as an inhibitor and activitor with enzymes?
| SELECT T1.name , T1.trade_name FROM medicine AS T1 JOIN medicine_enzyme_interaction AS T2 ON T2.medicine_id = T1.id WHERE interaction_type = 'inhibitor' INTERSECT SELECT T1.name , T1.trade_name FROM medicine AS T1 JOIN medicine_enzyme_interaction AS T2 ON T2.medicine_id = T1.id WHERE interaction_type = 'activitor'; |
-- Database schema
| medicine : id [ INT ] primary_key , name [ TEXT ] , Trade_Name [ TEXT ] , FDA_approved [ TEXT ] | enzyme : id [ INT ] primary_key , name [ TEXT ] , Location [ TEXT ] , Product [ TEXT ] , Chromosome [ TEXT ] , OMIM [ INT ] , Porphyria [ TEXT ] | medicine_enzyme_interaction : enzyme_id [ INT ] primary_key medicine_enzyme_interaction.enzyme_id = enzyme.id , medicine_id [ INT ] medicine_enzyme_interaction.medicine_id = medicine.id , interaction_type [ TEXT ] |
-- -- Show the medicine names and trade names that cannot interact with the enzyme with product 'Heme'.
| SELECT name , trade_name FROM medicine EXCEPT SELECT T1.name , T1.trade_name FROM medicine AS T1 JOIN medicine_enzyme_interaction AS T2 ON T2.medicine_id = T1.id JOIN enzyme AS T3 ON T3.id = T2.enzyme_id WHERE T3.product = 'Protoporphyrinogen IX'; |
-- Database schema
| medicine : id [ INT ] primary_key , name [ TEXT ] , Trade_Name [ TEXT ] , FDA_approved [ TEXT ] | enzyme : id [ INT ] primary_key , name [ TEXT ] , Location [ TEXT ] , Product [ TEXT ] , Chromosome [ TEXT ] , OMIM [ INT ] , Porphyria [ TEXT ] | medicine_enzyme_interaction : enzyme_id [ INT ] primary_key medicine_enzyme_interaction.enzyme_id = enzyme.id , medicine_id [ INT ] medicine_enzyme_interaction.medicine_id = medicine.id , interaction_type [ TEXT ] |
-- -- What are the medicine and trade names that cannot interact with the enzyme with the product 'Heme'?
| SELECT name , trade_name FROM medicine EXCEPT SELECT T1.name , T1.trade_name FROM medicine AS T1 JOIN medicine_enzyme_interaction AS T2 ON T2.medicine_id = T1.id JOIN enzyme AS T3 ON T3.id = T2.enzyme_id WHERE T3.product = 'Protoporphyrinogen IX'; |
-- Database schema
| medicine : id [ INT ] primary_key , name [ TEXT ] , Trade_Name [ TEXT ] , FDA_approved [ TEXT ] | enzyme : id [ INT ] primary_key , name [ TEXT ] , Location [ TEXT ] , Product [ TEXT ] , Chromosome [ TEXT ] , OMIM [ INT ] , Porphyria [ TEXT ] | medicine_enzyme_interaction : enzyme_id [ INT ] primary_key medicine_enzyme_interaction.enzyme_id = enzyme.id , medicine_id [ INT ] medicine_enzyme_interaction.medicine_id = medicine.id , interaction_type [ TEXT ] |
-- -- How many distinct FDA approval statuses are there for the medicines?
| SELECT count(DISTINCT FDA_approved) FROM medicine; |
-- Database schema
| medicine : id [ INT ] primary_key , name [ TEXT ] , Trade_Name [ TEXT ] , FDA_approved [ TEXT ] | enzyme : id [ INT ] primary_key , name [ TEXT ] , Location [ TEXT ] , Product [ TEXT ] , Chromosome [ TEXT ] , OMIM [ INT ] , Porphyria [ TEXT ] | medicine_enzyme_interaction : enzyme_id [ INT ] primary_key medicine_enzyme_interaction.enzyme_id = enzyme.id , medicine_id [ INT ] medicine_enzyme_interaction.medicine_id = medicine.id , interaction_type [ TEXT ] |
-- -- How many different FDA approval statuses exist for medicines?
| SELECT count(DISTINCT FDA_approved) FROM medicine; |
-- Database schema
| medicine : id [ INT ] primary_key , name [ TEXT ] , Trade_Name [ TEXT ] , FDA_approved [ TEXT ] | enzyme : id [ INT ] primary_key , name [ TEXT ] , Location [ TEXT ] , Product [ TEXT ] , Chromosome [ TEXT ] , OMIM [ INT ] , Porphyria [ TEXT ] | medicine_enzyme_interaction : enzyme_id [ INT ] primary_key medicine_enzyme_interaction.enzyme_id = enzyme.id , medicine_id [ INT ] medicine_enzyme_interaction.medicine_id = medicine.id , interaction_type [ TEXT ] |
-- -- Which enzyme names have the substring "ALA"?
| SELECT name FROM enzyme WHERE name LIKE "%ALA%"; |
-- Database schema
| medicine : id [ INT ] primary_key , name [ TEXT ] , Trade_Name [ TEXT ] , FDA_approved [ TEXT ] | enzyme : id [ INT ] primary_key , name [ TEXT ] , Location [ TEXT ] , Product [ TEXT ] , Chromosome [ TEXT ] , OMIM [ INT ] , Porphyria [ TEXT ] | medicine_enzyme_interaction : enzyme_id [ INT ] primary_key medicine_enzyme_interaction.enzyme_id = enzyme.id , medicine_id [ INT ] medicine_enzyme_interaction.medicine_id = medicine.id , interaction_type [ TEXT ] |
-- -- What are the names of enzymes that include the string 'ALA'?
| SELECT name FROM enzyme WHERE name LIKE "%ALA%"; |
-- Database schema
| medicine : id [ INT ] primary_key , name [ TEXT ] , Trade_Name [ TEXT ] , FDA_approved [ TEXT ] | enzyme : id [ INT ] primary_key , name [ TEXT ] , Location [ TEXT ] , Product [ TEXT ] , Chromosome [ TEXT ] , OMIM [ INT ] , Porphyria [ TEXT ] | medicine_enzyme_interaction : enzyme_id [ INT ] primary_key medicine_enzyme_interaction.enzyme_id = enzyme.id , medicine_id [ INT ] medicine_enzyme_interaction.medicine_id = medicine.id , interaction_type [ TEXT ] |
-- -- find the number of medicines offered by each trade.
| SELECT trade_name , count(*) FROM medicine GROUP BY trade_name; |
-- Database schema
| medicine : id [ INT ] primary_key , name [ TEXT ] , Trade_Name [ TEXT ] , FDA_approved [ TEXT ] | enzyme : id [ INT ] primary_key , name [ TEXT ] , Location [ TEXT ] , Product [ TEXT ] , Chromosome [ TEXT ] , OMIM [ INT ] , Porphyria [ TEXT ] | medicine_enzyme_interaction : enzyme_id [ INT ] primary_key medicine_enzyme_interaction.enzyme_id = enzyme.id , medicine_id [ INT ] medicine_enzyme_interaction.medicine_id = medicine.id , interaction_type [ TEXT ] |
-- -- How many medicines are offered by each trade name?
| SELECT trade_name , count(*) FROM medicine GROUP BY trade_name; |
-- Database schema
| basketball_match : Team_ID [ INT ] primary_key , School_ID [ INT ] basketball_match.School_ID = university.School_ID , Team_Name [ TEXT ] , ACC_Regular_Season [ TEXT ] , ACC_Percent [ TEXT ] , ACC_Home [ TEXT ] , ACC_Road [ TEXT ] , All_Games [ TEXT ] , All_Games_Percent [ INT ] , All_Home [ TEXT ] , All_Road [ TEXT ] , All_Neutral [ TEXT ] | university : School_ID [ INT ] primary_key , School [ TEXT ] , Location [ TEXT ] , Founded [ INT ] , Affiliation [ TEXT ] , Enrollment [ INT ] , Nickname [ TEXT ] , Primary_conference [ TEXT ] |
-- -- List all schools and their nicknames in the order of founded year.
| SELECT school , nickname FROM university ORDER BY founded; |
-- Database schema
| basketball_match : Team_ID [ INT ] primary_key , School_ID [ INT ] basketball_match.School_ID = university.School_ID , Team_Name [ TEXT ] , ACC_Regular_Season [ TEXT ] , ACC_Percent [ TEXT ] , ACC_Home [ TEXT ] , ACC_Road [ TEXT ] , All_Games [ TEXT ] , All_Games_Percent [ INT ] , All_Home [ TEXT ] , All_Road [ TEXT ] , All_Neutral [ TEXT ] | university : School_ID [ INT ] primary_key , School [ TEXT ] , Location [ TEXT ] , Founded [ INT ] , Affiliation [ TEXT ] , Enrollment [ INT ] , Nickname [ TEXT ] , Primary_conference [ TEXT ] |
-- -- What are the different schools and their nicknames, ordered by their founding years?
| SELECT school , nickname FROM university ORDER BY founded; |
-- Database schema
| basketball_match : Team_ID [ INT ] primary_key , School_ID [ INT ] basketball_match.School_ID = university.School_ID , Team_Name [ TEXT ] , ACC_Regular_Season [ TEXT ] , ACC_Percent [ TEXT ] , ACC_Home [ TEXT ] , ACC_Road [ TEXT ] , All_Games [ TEXT ] , All_Games_Percent [ INT ] , All_Home [ TEXT ] , All_Road [ TEXT ] , All_Neutral [ TEXT ] | university : School_ID [ INT ] primary_key , School [ TEXT ] , Location [ TEXT ] , Founded [ INT ] , Affiliation [ TEXT ] , Enrollment [ INT ] , Nickname [ TEXT ] , Primary_conference [ TEXT ] |
-- -- List all public schools and their locations.
| SELECT school , LOCATION FROM university WHERE affiliation = 'Public'; |
-- Database schema
| basketball_match : Team_ID [ INT ] primary_key , School_ID [ INT ] basketball_match.School_ID = university.School_ID , Team_Name [ TEXT ] , ACC_Regular_Season [ TEXT ] , ACC_Percent [ TEXT ] , ACC_Home [ TEXT ] , ACC_Road [ TEXT ] , All_Games [ TEXT ] , All_Games_Percent [ INT ] , All_Home [ TEXT ] , All_Road [ TEXT ] , All_Neutral [ TEXT ] | university : School_ID [ INT ] primary_key , School [ TEXT ] , Location [ TEXT ] , Founded [ INT ] , Affiliation [ TEXT ] , Enrollment [ INT ] , Nickname [ TEXT ] , Primary_conference [ TEXT ] |
-- -- What are the public schools and what are their locations?
| SELECT school , LOCATION FROM university WHERE affiliation = 'Public'; |
-- Database schema
| basketball_match : Team_ID [ INT ] primary_key , School_ID [ INT ] basketball_match.School_ID = university.School_ID , Team_Name [ TEXT ] , ACC_Regular_Season [ TEXT ] , ACC_Percent [ TEXT ] , ACC_Home [ TEXT ] , ACC_Road [ TEXT ] , All_Games [ TEXT ] , All_Games_Percent [ INT ] , All_Home [ TEXT ] , All_Road [ TEXT ] , All_Neutral [ TEXT ] | university : School_ID [ INT ] primary_key , School [ TEXT ] , Location [ TEXT ] , Founded [ INT ] , Affiliation [ TEXT ] , Enrollment [ INT ] , Nickname [ TEXT ] , Primary_conference [ TEXT ] |
-- -- When was the school with the largest enrollment founded?
| SELECT founded FROM university ORDER BY enrollment DESC LIMIT 1; |
-- Database schema
| basketball_match : Team_ID [ INT ] primary_key , School_ID [ INT ] basketball_match.School_ID = university.School_ID , Team_Name [ TEXT ] , ACC_Regular_Season [ TEXT ] , ACC_Percent [ TEXT ] , ACC_Home [ TEXT ] , ACC_Road [ TEXT ] , All_Games [ TEXT ] , All_Games_Percent [ INT ] , All_Home [ TEXT ] , All_Road [ TEXT ] , All_Neutral [ TEXT ] | university : School_ID [ INT ] primary_key , School [ TEXT ] , Location [ TEXT ] , Founded [ INT ] , Affiliation [ TEXT ] , Enrollment [ INT ] , Nickname [ TEXT ] , Primary_conference [ TEXT ] |
-- -- Return the founded year for the school with the largest enrollment.
| SELECT founded FROM university ORDER BY enrollment DESC LIMIT 1; |
-- Database schema
| basketball_match : Team_ID [ INT ] primary_key , School_ID [ INT ] basketball_match.School_ID = university.School_ID , Team_Name [ TEXT ] , ACC_Regular_Season [ TEXT ] , ACC_Percent [ TEXT ] , ACC_Home [ TEXT ] , ACC_Road [ TEXT ] , All_Games [ TEXT ] , All_Games_Percent [ INT ] , All_Home [ TEXT ] , All_Road [ TEXT ] , All_Neutral [ TEXT ] | university : School_ID [ INT ] primary_key , School [ TEXT ] , Location [ TEXT ] , Founded [ INT ] , Affiliation [ TEXT ] , Enrollment [ INT ] , Nickname [ TEXT ] , Primary_conference [ TEXT ] |
-- -- Find the founded year of the newest non public school.
| SELECT founded FROM university WHERE affiliation != 'Public' ORDER BY founded DESC LIMIT 1; |
-- Database schema
| basketball_match : Team_ID [ INT ] primary_key , School_ID [ INT ] basketball_match.School_ID = university.School_ID , Team_Name [ TEXT ] , ACC_Regular_Season [ TEXT ] , ACC_Percent [ TEXT ] , ACC_Home [ TEXT ] , ACC_Road [ TEXT ] , All_Games [ TEXT ] , All_Games_Percent [ INT ] , All_Home [ TEXT ] , All_Road [ TEXT ] , All_Neutral [ TEXT ] | university : School_ID [ INT ] primary_key , School [ TEXT ] , Location [ TEXT ] , Founded [ INT ] , Affiliation [ TEXT ] , Enrollment [ INT ] , Nickname [ TEXT ] , Primary_conference [ TEXT ] |
-- -- What is the founded year of the non public school that was founded most recently?
| SELECT founded FROM university WHERE affiliation != 'Public' ORDER BY founded DESC LIMIT 1; |
-- Database schema
| basketball_match : Team_ID [ INT ] primary_key , School_ID [ INT ] basketball_match.School_ID = university.School_ID , Team_Name [ TEXT ] , ACC_Regular_Season [ TEXT ] , ACC_Percent [ TEXT ] , ACC_Home [ TEXT ] , ACC_Road [ TEXT ] , All_Games [ TEXT ] , All_Games_Percent [ INT ] , All_Home [ TEXT ] , All_Road [ TEXT ] , All_Neutral [ TEXT ] | university : School_ID [ INT ] primary_key , School [ TEXT ] , Location [ TEXT ] , Founded [ INT ] , Affiliation [ TEXT ] , Enrollment [ INT ] , Nickname [ TEXT ] , Primary_conference [ TEXT ] |
-- -- How many schools are in the basketball match?
| SELECT count(DISTINCT school_id) FROM basketball_match; |
-- Database schema
| basketball_match : Team_ID [ INT ] primary_key , School_ID [ INT ] basketball_match.School_ID = university.School_ID , Team_Name [ TEXT ] , ACC_Regular_Season [ TEXT ] , ACC_Percent [ TEXT ] , ACC_Home [ TEXT ] , ACC_Road [ TEXT ] , All_Games [ TEXT ] , All_Games_Percent [ INT ] , All_Home [ TEXT ] , All_Road [ TEXT ] , All_Neutral [ TEXT ] | university : School_ID [ INT ] primary_key , School [ TEXT ] , Location [ TEXT ] , Founded [ INT ] , Affiliation [ TEXT ] , Enrollment [ INT ] , Nickname [ TEXT ] , Primary_conference [ TEXT ] |
-- -- Count the number of schools that have had basketball matches.
| SELECT count(DISTINCT school_id) FROM basketball_match; |
-- Database schema
| basketball_match : Team_ID [ INT ] primary_key , School_ID [ INT ] basketball_match.School_ID = university.School_ID , Team_Name [ TEXT ] , ACC_Regular_Season [ TEXT ] , ACC_Percent [ TEXT ] , ACC_Home [ TEXT ] , ACC_Road [ TEXT ] , All_Games [ TEXT ] , All_Games_Percent [ INT ] , All_Home [ TEXT ] , All_Road [ TEXT ] , All_Neutral [ TEXT ] | university : School_ID [ INT ] primary_key , School [ TEXT ] , Location [ TEXT ] , Founded [ INT ] , Affiliation [ TEXT ] , Enrollment [ INT ] , Nickname [ TEXT ] , Primary_conference [ TEXT ] |
-- -- What is the highest acc percent score in the competition?
| SELECT acc_percent FROM basketball_match ORDER BY acc_percent DESC LIMIT 1; |
-- Database schema
| basketball_match : Team_ID [ INT ] primary_key , School_ID [ INT ] basketball_match.School_ID = university.School_ID , Team_Name [ TEXT ] , ACC_Regular_Season [ TEXT ] , ACC_Percent [ TEXT ] , ACC_Home [ TEXT ] , ACC_Road [ TEXT ] , All_Games [ TEXT ] , All_Games_Percent [ INT ] , All_Home [ TEXT ] , All_Road [ TEXT ] , All_Neutral [ TEXT ] | university : School_ID [ INT ] primary_key , School [ TEXT ] , Location [ TEXT ] , Founded [ INT ] , Affiliation [ TEXT ] , Enrollment [ INT ] , Nickname [ TEXT ] , Primary_conference [ TEXT ] |
-- -- Return the highest acc percent across all basketball matches.
| SELECT acc_percent FROM basketball_match ORDER BY acc_percent DESC LIMIT 1; |
-- Database schema
| basketball_match : Team_ID [ INT ] primary_key , School_ID [ INT ] basketball_match.School_ID = university.School_ID , Team_Name [ TEXT ] , ACC_Regular_Season [ TEXT ] , ACC_Percent [ TEXT ] , ACC_Home [ TEXT ] , ACC_Road [ TEXT ] , All_Games [ TEXT ] , All_Games_Percent [ INT ] , All_Home [ TEXT ] , All_Road [ TEXT ] , All_Neutral [ TEXT ] | university : School_ID [ INT ] primary_key , School [ TEXT ] , Location [ TEXT ] , Founded [ INT ] , Affiliation [ TEXT ] , Enrollment [ INT ] , Nickname [ TEXT ] , Primary_conference [ TEXT ] |
-- -- What is the primary conference of the school that has the lowest acc percent score in the competition?
| SELECT t1.Primary_conference FROM university AS t1 JOIN basketball_match AS t2 ON t1.school_id = t2.school_id ORDER BY t2.acc_percent LIMIT 1; |
-- Database schema
| basketball_match : Team_ID [ INT ] primary_key , School_ID [ INT ] basketball_match.School_ID = university.School_ID , Team_Name [ TEXT ] , ACC_Regular_Season [ TEXT ] , ACC_Percent [ TEXT ] , ACC_Home [ TEXT ] , ACC_Road [ TEXT ] , All_Games [ TEXT ] , All_Games_Percent [ INT ] , All_Home [ TEXT ] , All_Road [ TEXT ] , All_Neutral [ TEXT ] | university : School_ID [ INT ] primary_key , School [ TEXT ] , Location [ TEXT ] , Founded [ INT ] , Affiliation [ TEXT ] , Enrollment [ INT ] , Nickname [ TEXT ] , Primary_conference [ TEXT ] |
-- -- Return the primary conference of the school with the lowest acc percentage score.
| SELECT t1.Primary_conference FROM university AS t1 JOIN basketball_match AS t2 ON t1.school_id = t2.school_id ORDER BY t2.acc_percent LIMIT 1; |
-- Database schema
| basketball_match : Team_ID [ INT ] primary_key , School_ID [ INT ] basketball_match.School_ID = university.School_ID , Team_Name [ TEXT ] , ACC_Regular_Season [ TEXT ] , ACC_Percent [ TEXT ] , ACC_Home [ TEXT ] , ACC_Road [ TEXT ] , All_Games [ TEXT ] , All_Games_Percent [ INT ] , All_Home [ TEXT ] , All_Road [ TEXT ] , All_Neutral [ TEXT ] | university : School_ID [ INT ] primary_key , School [ TEXT ] , Location [ TEXT ] , Founded [ INT ] , Affiliation [ TEXT ] , Enrollment [ INT ] , Nickname [ TEXT ] , Primary_conference [ TEXT ] |
-- -- What is the team name and acc regular season score of the school that was founded for the longest time?
| SELECT t2.team_name , t2.ACC_Regular_Season FROM university AS t1 JOIN basketball_match AS t2 ON t1.school_id = t2.school_id ORDER BY t1.founded LIMIT 1; |
-- Database schema
| basketball_match : Team_ID [ INT ] primary_key , School_ID [ INT ] basketball_match.School_ID = university.School_ID , Team_Name [ TEXT ] , ACC_Regular_Season [ TEXT ] , ACC_Percent [ TEXT ] , ACC_Home [ TEXT ] , ACC_Road [ TEXT ] , All_Games [ TEXT ] , All_Games_Percent [ INT ] , All_Home [ TEXT ] , All_Road [ TEXT ] , All_Neutral [ TEXT ] | university : School_ID [ INT ] primary_key , School [ TEXT ] , Location [ TEXT ] , Founded [ INT ] , Affiliation [ TEXT ] , Enrollment [ INT ] , Nickname [ TEXT ] , Primary_conference [ TEXT ] |
-- -- Return the name of the team and the acc during the regular season for the school that was founded the earliest.
| SELECT t2.team_name , t2.ACC_Regular_Season FROM university AS t1 JOIN basketball_match AS t2 ON t1.school_id = t2.school_id ORDER BY t1.founded LIMIT 1; |
-- Database schema
| basketball_match : Team_ID [ INT ] primary_key , School_ID [ INT ] basketball_match.School_ID = university.School_ID , Team_Name [ TEXT ] , ACC_Regular_Season [ TEXT ] , ACC_Percent [ TEXT ] , ACC_Home [ TEXT ] , ACC_Road [ TEXT ] , All_Games [ TEXT ] , All_Games_Percent [ INT ] , All_Home [ TEXT ] , All_Road [ TEXT ] , All_Neutral [ TEXT ] | university : School_ID [ INT ] primary_key , School [ TEXT ] , Location [ TEXT ] , Founded [ INT ] , Affiliation [ TEXT ] , Enrollment [ INT ] , Nickname [ TEXT ] , Primary_conference [ TEXT ] |
-- -- Find the location and all games score of the school that has Clemson as its team name.
| SELECT t2.All_Games , t1.location FROM university AS t1 JOIN basketball_match AS t2 ON t1.school_id = t2.school_id WHERE team_name = 'Clemson'; |
-- Database schema
| basketball_match : Team_ID [ INT ] primary_key , School_ID [ INT ] basketball_match.School_ID = university.School_ID , Team_Name [ TEXT ] , ACC_Regular_Season [ TEXT ] , ACC_Percent [ TEXT ] , ACC_Home [ TEXT ] , ACC_Road [ TEXT ] , All_Games [ TEXT ] , All_Games_Percent [ INT ] , All_Home [ TEXT ] , All_Road [ TEXT ] , All_Neutral [ TEXT ] | university : School_ID [ INT ] primary_key , School [ TEXT ] , Location [ TEXT ] , Founded [ INT ] , Affiliation [ TEXT ] , Enrollment [ INT ] , Nickname [ TEXT ] , Primary_conference [ TEXT ] |
-- -- What are the all games score and location of the school called Clemson?
| SELECT t2.All_Games , t1.location FROM university AS t1 JOIN basketball_match AS t2 ON t1.school_id = t2.school_id WHERE team_name = 'Clemson'; |
-- Database schema
| basketball_match : Team_ID [ INT ] primary_key , School_ID [ INT ] basketball_match.School_ID = university.School_ID , Team_Name [ TEXT ] , ACC_Regular_Season [ TEXT ] , ACC_Percent [ TEXT ] , ACC_Home [ TEXT ] , ACC_Road [ TEXT ] , All_Games [ TEXT ] , All_Games_Percent [ INT ] , All_Home [ TEXT ] , All_Road [ TEXT ] , All_Neutral [ TEXT ] | university : School_ID [ INT ] primary_key , School [ TEXT ] , Location [ TEXT ] , Founded [ INT ] , Affiliation [ TEXT ] , Enrollment [ INT ] , Nickname [ TEXT ] , Primary_conference [ TEXT ] |
-- -- What are the average enrollment size of the universities that are founded before 1850?
| SELECT avg(enrollment) FROM university WHERE founded < 1850; |
-- Database schema
| basketball_match : Team_ID [ INT ] primary_key , School_ID [ INT ] basketball_match.School_ID = university.School_ID , Team_Name [ TEXT ] , ACC_Regular_Season [ TEXT ] , ACC_Percent [ TEXT ] , ACC_Home [ TEXT ] , ACC_Road [ TEXT ] , All_Games [ TEXT ] , All_Games_Percent [ INT ] , All_Home [ TEXT ] , All_Road [ TEXT ] , All_Neutral [ TEXT ] | university : School_ID [ INT ] primary_key , School [ TEXT ] , Location [ TEXT ] , Founded [ INT ] , Affiliation [ TEXT ] , Enrollment [ INT ] , Nickname [ TEXT ] , Primary_conference [ TEXT ] |
-- -- Return the average enrollment of universities founded before 1850.
| SELECT avg(enrollment) FROM university WHERE founded < 1850; |
-- Database schema
| basketball_match : Team_ID [ INT ] primary_key , School_ID [ INT ] basketball_match.School_ID = university.School_ID , Team_Name [ TEXT ] , ACC_Regular_Season [ TEXT ] , ACC_Percent [ TEXT ] , ACC_Home [ TEXT ] , ACC_Road [ TEXT ] , All_Games [ TEXT ] , All_Games_Percent [ INT ] , All_Home [ TEXT ] , All_Road [ TEXT ] , All_Neutral [ TEXT ] | university : School_ID [ INT ] primary_key , School [ TEXT ] , Location [ TEXT ] , Founded [ INT ] , Affiliation [ TEXT ] , Enrollment [ INT ] , Nickname [ TEXT ] , Primary_conference [ TEXT ] |
-- -- Show the enrollment and primary_conference of the oldest college.
| SELECT enrollment , primary_conference FROM university ORDER BY founded LIMIT 1; |
-- Database schema
| basketball_match : Team_ID [ INT ] primary_key , School_ID [ INT ] basketball_match.School_ID = university.School_ID , Team_Name [ TEXT ] , ACC_Regular_Season [ TEXT ] , ACC_Percent [ TEXT ] , ACC_Home [ TEXT ] , ACC_Road [ TEXT ] , All_Games [ TEXT ] , All_Games_Percent [ INT ] , All_Home [ TEXT ] , All_Road [ TEXT ] , All_Neutral [ TEXT ] | university : School_ID [ INT ] primary_key , School [ TEXT ] , Location [ TEXT ] , Founded [ INT ] , Affiliation [ TEXT ] , Enrollment [ INT ] , Nickname [ TEXT ] , Primary_conference [ TEXT ] |
-- -- What are the enrollment and primary conference for the university which was founded the earliest?
| SELECT enrollment , primary_conference FROM university ORDER BY founded LIMIT 1; |
-- Database schema
| basketball_match : Team_ID [ INT ] primary_key , School_ID [ INT ] basketball_match.School_ID = university.School_ID , Team_Name [ TEXT ] , ACC_Regular_Season [ TEXT ] , ACC_Percent [ TEXT ] , ACC_Home [ TEXT ] , ACC_Road [ TEXT ] , All_Games [ TEXT ] , All_Games_Percent [ INT ] , All_Home [ TEXT ] , All_Road [ TEXT ] , All_Neutral [ TEXT ] | university : School_ID [ INT ] primary_key , School [ TEXT ] , Location [ TEXT ] , Founded [ INT ] , Affiliation [ TEXT ] , Enrollment [ INT ] , Nickname [ TEXT ] , Primary_conference [ TEXT ] |
-- -- What is the total and minimum enrollment of all schools?
| SELECT sum(enrollment) , min(enrollment) FROM university; |
Subsets and Splits