db_id stringclasses 146 values | question stringlengths 3 224 | sql stringlengths 18 577 | database_schema stringclasses 146 values |
|---|---|---|---|
insurance_fnol | 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 | CREATE TABLE Customers (
Customer_ID INTEGER NOT NULL,
Customer_name VARCHAR(40),
PRIMARY KEY (Customer_ID)
)
3 rows from Customers table:
Customer_ID Customer_name
194 America Jaskolski
214 Ellsworth Paucek
256 Mrs. Hanna Willms
CREATE TABLE Services (
Service_ID INTEGER NOT NULL,
Service_name VARCHAR(40),
PRIMARY KEY (Service_ID)
)
3 rows from Services table:
Service_ID Service_name
1 New policy application
4 Close a policy
6 Change a policy
CREATE TABLE Available_Policies (
Policy_ID INTEGER NOT NULL,
policy_type_code CHAR(15),
Customer_Phone VARCHAR(255),
PRIMARY KEY (Policy_ID),
UNIQUE (Policy_ID)
)
3 rows from Available_Policies table:
Policy_ID policy_type_code Customer_Phone
246 Life Insurance +16(2)5838999222
257 Property Insurance 242.763.9214
300 Property Insurance 1-416-503-7735x94204
CREATE TABLE Customers_Policies (
Customer_ID INTEGER NOT NULL,
Policy_ID INTEGER NOT NULL,
Date_Opened DATE,
Date_Closed DATE,
PRIMARY KEY (Customer_ID, Policy_ID),
FOREIGN KEY (Customer_ID) REFERENCES Customers (Customer_ID),
FOREIGN KEY (Policy_ID) REFERENCES Available_Policies (Policy_ID)
)
3 rows from Customers_Policies table:
Customer_ID Policy_ID Date_Opened Date_Closed
214 257 2016-11-19 2018-03-04
214 301 2016-04-12 2018-02-07
256 583 2016-07-22 2018-02-20
CREATE TABLE First_Notification_of_Loss (
FNOL_ID INTEGER NOT NULL,
Customer_ID INTEGER NOT NULL,
Policy_ID INTEGER NOT NULL,
Service_ID INTEGER NOT NULL,
PRIMARY KEY (FNOL_ID),
UNIQUE (FNOL_ID),
FOREIGN KEY (Service_ID) REFERENCES Services (Service_ID),
FOREIGN KEY (Customer_ID, Policy_ID) REFERENCES Customers_Policies (Customer_ID,Policy_ID)
)
3 rows from First_Notification_of_Loss table:
FNOL_ID Customer_ID Policy_ID Service_ID
532 214 257 6
1611 996 993 9
1722 996 879 6
CREATE TABLE Claims (
Claim_ID INTEGER NOT NULL,
FNOL_ID INTEGER NOT NULL,
Effective_Date DATE,
PRIMARY KEY (Claim_ID),
UNIQUE (Claim_ID),
FOREIGN KEY (FNOL_ID) REFERENCES First_Notification_of_Loss (FNOL_ID)
)
3 rows from Claims table:
Claim_ID FNOL_ID Effective_Date
134 1722 1973-08-18
145 1611 2014-10-19
228 532 1975-05-07
CREATE TABLE Settlements (
Settlement_ID INTEGER NOT NULL,
Claim_ID INTEGER,
Effective_Date DATE,
Settlement_Amount REAL,
PRIMARY KEY (Settlement_ID),
UNIQUE (Settlement_ID),
FOREIGN KEY (Claim_ID) REFERENCES Claims (Claim_ID)
)
3 rows from Settlements table:
Settlement_ID Claim_ID Effective_Date Settlement_Amount
161 717 2009-11-20 6451.65
176 641 1971-06-29 1588.45
205 604 1978-09-09 9814.39
|
insurance_fnol | Find the total and average amount of settlements. | SELECT sum(settlement_amount) , avg(settlement_amount) FROM settlements | CREATE TABLE Customers (
Customer_ID INTEGER NOT NULL,
Customer_name VARCHAR(40),
PRIMARY KEY (Customer_ID)
)
3 rows from Customers table:
Customer_ID Customer_name
194 America Jaskolski
214 Ellsworth Paucek
256 Mrs. Hanna Willms
CREATE TABLE Services (
Service_ID INTEGER NOT NULL,
Service_name VARCHAR(40),
PRIMARY KEY (Service_ID)
)
3 rows from Services table:
Service_ID Service_name
1 New policy application
4 Close a policy
6 Change a policy
CREATE TABLE Available_Policies (
Policy_ID INTEGER NOT NULL,
policy_type_code CHAR(15),
Customer_Phone VARCHAR(255),
PRIMARY KEY (Policy_ID),
UNIQUE (Policy_ID)
)
3 rows from Available_Policies table:
Policy_ID policy_type_code Customer_Phone
246 Life Insurance +16(2)5838999222
257 Property Insurance 242.763.9214
300 Property Insurance 1-416-503-7735x94204
CREATE TABLE Customers_Policies (
Customer_ID INTEGER NOT NULL,
Policy_ID INTEGER NOT NULL,
Date_Opened DATE,
Date_Closed DATE,
PRIMARY KEY (Customer_ID, Policy_ID),
FOREIGN KEY (Customer_ID) REFERENCES Customers (Customer_ID),
FOREIGN KEY (Policy_ID) REFERENCES Available_Policies (Policy_ID)
)
3 rows from Customers_Policies table:
Customer_ID Policy_ID Date_Opened Date_Closed
214 257 2016-11-19 2018-03-04
214 301 2016-04-12 2018-02-07
256 583 2016-07-22 2018-02-20
CREATE TABLE First_Notification_of_Loss (
FNOL_ID INTEGER NOT NULL,
Customer_ID INTEGER NOT NULL,
Policy_ID INTEGER NOT NULL,
Service_ID INTEGER NOT NULL,
PRIMARY KEY (FNOL_ID),
UNIQUE (FNOL_ID),
FOREIGN KEY (Service_ID) REFERENCES Services (Service_ID),
FOREIGN KEY (Customer_ID, Policy_ID) REFERENCES Customers_Policies (Customer_ID,Policy_ID)
)
3 rows from First_Notification_of_Loss table:
FNOL_ID Customer_ID Policy_ID Service_ID
532 214 257 6
1611 996 993 9
1722 996 879 6
CREATE TABLE Claims (
Claim_ID INTEGER NOT NULL,
FNOL_ID INTEGER NOT NULL,
Effective_Date DATE,
PRIMARY KEY (Claim_ID),
UNIQUE (Claim_ID),
FOREIGN KEY (FNOL_ID) REFERENCES First_Notification_of_Loss (FNOL_ID)
)
3 rows from Claims table:
Claim_ID FNOL_ID Effective_Date
134 1722 1973-08-18
145 1611 2014-10-19
228 532 1975-05-07
CREATE TABLE Settlements (
Settlement_ID INTEGER NOT NULL,
Claim_ID INTEGER,
Effective_Date DATE,
Settlement_Amount REAL,
PRIMARY KEY (Settlement_ID),
UNIQUE (Settlement_ID),
FOREIGN KEY (Claim_ID) REFERENCES Claims (Claim_ID)
)
3 rows from Settlements table:
Settlement_ID Claim_ID Effective_Date Settlement_Amount
161 717 2009-11-20 6451.65
176 641 1971-06-29 1588.45
205 604 1978-09-09 9814.39
|
insurance_fnol | Return the sum and average of all settlement amounts. | SELECT sum(settlement_amount) , avg(settlement_amount) FROM settlements | CREATE TABLE Customers (
Customer_ID INTEGER NOT NULL,
Customer_name VARCHAR(40),
PRIMARY KEY (Customer_ID)
)
3 rows from Customers table:
Customer_ID Customer_name
194 America Jaskolski
214 Ellsworth Paucek
256 Mrs. Hanna Willms
CREATE TABLE Services (
Service_ID INTEGER NOT NULL,
Service_name VARCHAR(40),
PRIMARY KEY (Service_ID)
)
3 rows from Services table:
Service_ID Service_name
1 New policy application
4 Close a policy
6 Change a policy
CREATE TABLE Available_Policies (
Policy_ID INTEGER NOT NULL,
policy_type_code CHAR(15),
Customer_Phone VARCHAR(255),
PRIMARY KEY (Policy_ID),
UNIQUE (Policy_ID)
)
3 rows from Available_Policies table:
Policy_ID policy_type_code Customer_Phone
246 Life Insurance +16(2)5838999222
257 Property Insurance 242.763.9214
300 Property Insurance 1-416-503-7735x94204
CREATE TABLE Customers_Policies (
Customer_ID INTEGER NOT NULL,
Policy_ID INTEGER NOT NULL,
Date_Opened DATE,
Date_Closed DATE,
PRIMARY KEY (Customer_ID, Policy_ID),
FOREIGN KEY (Customer_ID) REFERENCES Customers (Customer_ID),
FOREIGN KEY (Policy_ID) REFERENCES Available_Policies (Policy_ID)
)
3 rows from Customers_Policies table:
Customer_ID Policy_ID Date_Opened Date_Closed
214 257 2016-11-19 2018-03-04
214 301 2016-04-12 2018-02-07
256 583 2016-07-22 2018-02-20
CREATE TABLE First_Notification_of_Loss (
FNOL_ID INTEGER NOT NULL,
Customer_ID INTEGER NOT NULL,
Policy_ID INTEGER NOT NULL,
Service_ID INTEGER NOT NULL,
PRIMARY KEY (FNOL_ID),
UNIQUE (FNOL_ID),
FOREIGN KEY (Service_ID) REFERENCES Services (Service_ID),
FOREIGN KEY (Customer_ID, Policy_ID) REFERENCES Customers_Policies (Customer_ID,Policy_ID)
)
3 rows from First_Notification_of_Loss table:
FNOL_ID Customer_ID Policy_ID Service_ID
532 214 257 6
1611 996 993 9
1722 996 879 6
CREATE TABLE Claims (
Claim_ID INTEGER NOT NULL,
FNOL_ID INTEGER NOT NULL,
Effective_Date DATE,
PRIMARY KEY (Claim_ID),
UNIQUE (Claim_ID),
FOREIGN KEY (FNOL_ID) REFERENCES First_Notification_of_Loss (FNOL_ID)
)
3 rows from Claims table:
Claim_ID FNOL_ID Effective_Date
134 1722 1973-08-18
145 1611 2014-10-19
228 532 1975-05-07
CREATE TABLE Settlements (
Settlement_ID INTEGER NOT NULL,
Claim_ID INTEGER,
Effective_Date DATE,
Settlement_Amount REAL,
PRIMARY KEY (Settlement_ID),
UNIQUE (Settlement_ID),
FOREIGN KEY (Claim_ID) REFERENCES Claims (Claim_ID)
)
3 rows from Settlements table:
Settlement_ID Claim_ID Effective_Date Settlement_Amount
161 717 2009-11-20 6451.65
176 641 1971-06-29 1588.45
205 604 1978-09-09 9814.39
|
insurance_fnol | 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 | CREATE TABLE Customers (
Customer_ID INTEGER NOT NULL,
Customer_name VARCHAR(40),
PRIMARY KEY (Customer_ID)
)
3 rows from Customers table:
Customer_ID Customer_name
194 America Jaskolski
214 Ellsworth Paucek
256 Mrs. Hanna Willms
CREATE TABLE Services (
Service_ID INTEGER NOT NULL,
Service_name VARCHAR(40),
PRIMARY KEY (Service_ID)
)
3 rows from Services table:
Service_ID Service_name
1 New policy application
4 Close a policy
6 Change a policy
CREATE TABLE Available_Policies (
Policy_ID INTEGER NOT NULL,
policy_type_code CHAR(15),
Customer_Phone VARCHAR(255),
PRIMARY KEY (Policy_ID),
UNIQUE (Policy_ID)
)
3 rows from Available_Policies table:
Policy_ID policy_type_code Customer_Phone
246 Life Insurance +16(2)5838999222
257 Property Insurance 242.763.9214
300 Property Insurance 1-416-503-7735x94204
CREATE TABLE Customers_Policies (
Customer_ID INTEGER NOT NULL,
Policy_ID INTEGER NOT NULL,
Date_Opened DATE,
Date_Closed DATE,
PRIMARY KEY (Customer_ID, Policy_ID),
FOREIGN KEY (Customer_ID) REFERENCES Customers (Customer_ID),
FOREIGN KEY (Policy_ID) REFERENCES Available_Policies (Policy_ID)
)
3 rows from Customers_Policies table:
Customer_ID Policy_ID Date_Opened Date_Closed
214 257 2016-11-19 2018-03-04
214 301 2016-04-12 2018-02-07
256 583 2016-07-22 2018-02-20
CREATE TABLE First_Notification_of_Loss (
FNOL_ID INTEGER NOT NULL,
Customer_ID INTEGER NOT NULL,
Policy_ID INTEGER NOT NULL,
Service_ID INTEGER NOT NULL,
PRIMARY KEY (FNOL_ID),
UNIQUE (FNOL_ID),
FOREIGN KEY (Service_ID) REFERENCES Services (Service_ID),
FOREIGN KEY (Customer_ID, Policy_ID) REFERENCES Customers_Policies (Customer_ID,Policy_ID)
)
3 rows from First_Notification_of_Loss table:
FNOL_ID Customer_ID Policy_ID Service_ID
532 214 257 6
1611 996 993 9
1722 996 879 6
CREATE TABLE Claims (
Claim_ID INTEGER NOT NULL,
FNOL_ID INTEGER NOT NULL,
Effective_Date DATE,
PRIMARY KEY (Claim_ID),
UNIQUE (Claim_ID),
FOREIGN KEY (FNOL_ID) REFERENCES First_Notification_of_Loss (FNOL_ID)
)
3 rows from Claims table:
Claim_ID FNOL_ID Effective_Date
134 1722 1973-08-18
145 1611 2014-10-19
228 532 1975-05-07
CREATE TABLE Settlements (
Settlement_ID INTEGER NOT NULL,
Claim_ID INTEGER,
Effective_Date DATE,
Settlement_Amount REAL,
PRIMARY KEY (Settlement_ID),
UNIQUE (Settlement_ID),
FOREIGN KEY (Claim_ID) REFERENCES Claims (Claim_ID)
)
3 rows from Settlements table:
Settlement_ID Claim_ID Effective_Date Settlement_Amount
161 717 2009-11-20 6451.65
176 641 1971-06-29 1588.45
205 604 1978-09-09 9814.39
|
insurance_fnol | 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 | CREATE TABLE Customers (
Customer_ID INTEGER NOT NULL,
Customer_name VARCHAR(40),
PRIMARY KEY (Customer_ID)
)
3 rows from Customers table:
Customer_ID Customer_name
194 America Jaskolski
214 Ellsworth Paucek
256 Mrs. Hanna Willms
CREATE TABLE Services (
Service_ID INTEGER NOT NULL,
Service_name VARCHAR(40),
PRIMARY KEY (Service_ID)
)
3 rows from Services table:
Service_ID Service_name
1 New policy application
4 Close a policy
6 Change a policy
CREATE TABLE Available_Policies (
Policy_ID INTEGER NOT NULL,
policy_type_code CHAR(15),
Customer_Phone VARCHAR(255),
PRIMARY KEY (Policy_ID),
UNIQUE (Policy_ID)
)
3 rows from Available_Policies table:
Policy_ID policy_type_code Customer_Phone
246 Life Insurance +16(2)5838999222
257 Property Insurance 242.763.9214
300 Property Insurance 1-416-503-7735x94204
CREATE TABLE Customers_Policies (
Customer_ID INTEGER NOT NULL,
Policy_ID INTEGER NOT NULL,
Date_Opened DATE,
Date_Closed DATE,
PRIMARY KEY (Customer_ID, Policy_ID),
FOREIGN KEY (Customer_ID) REFERENCES Customers (Customer_ID),
FOREIGN KEY (Policy_ID) REFERENCES Available_Policies (Policy_ID)
)
3 rows from Customers_Policies table:
Customer_ID Policy_ID Date_Opened Date_Closed
214 257 2016-11-19 2018-03-04
214 301 2016-04-12 2018-02-07
256 583 2016-07-22 2018-02-20
CREATE TABLE First_Notification_of_Loss (
FNOL_ID INTEGER NOT NULL,
Customer_ID INTEGER NOT NULL,
Policy_ID INTEGER NOT NULL,
Service_ID INTEGER NOT NULL,
PRIMARY KEY (FNOL_ID),
UNIQUE (FNOL_ID),
FOREIGN KEY (Service_ID) REFERENCES Services (Service_ID),
FOREIGN KEY (Customer_ID, Policy_ID) REFERENCES Customers_Policies (Customer_ID,Policy_ID)
)
3 rows from First_Notification_of_Loss table:
FNOL_ID Customer_ID Policy_ID Service_ID
532 214 257 6
1611 996 993 9
1722 996 879 6
CREATE TABLE Claims (
Claim_ID INTEGER NOT NULL,
FNOL_ID INTEGER NOT NULL,
Effective_Date DATE,
PRIMARY KEY (Claim_ID),
UNIQUE (Claim_ID),
FOREIGN KEY (FNOL_ID) REFERENCES First_Notification_of_Loss (FNOL_ID)
)
3 rows from Claims table:
Claim_ID FNOL_ID Effective_Date
134 1722 1973-08-18
145 1611 2014-10-19
228 532 1975-05-07
CREATE TABLE Settlements (
Settlement_ID INTEGER NOT NULL,
Claim_ID INTEGER,
Effective_Date DATE,
Settlement_Amount REAL,
PRIMARY KEY (Settlement_ID),
UNIQUE (Settlement_ID),
FOREIGN KEY (Claim_ID) REFERENCES Claims (Claim_ID)
)
3 rows from Settlements table:
Settlement_ID Claim_ID Effective_Date Settlement_Amount
161 717 2009-11-20 6451.65
176 641 1971-06-29 1588.45
205 604 1978-09-09 9814.39
|
insurance_fnol | 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 | CREATE TABLE Customers (
Customer_ID INTEGER NOT NULL,
Customer_name VARCHAR(40),
PRIMARY KEY (Customer_ID)
)
3 rows from Customers table:
Customer_ID Customer_name
194 America Jaskolski
214 Ellsworth Paucek
256 Mrs. Hanna Willms
CREATE TABLE Services (
Service_ID INTEGER NOT NULL,
Service_name VARCHAR(40),
PRIMARY KEY (Service_ID)
)
3 rows from Services table:
Service_ID Service_name
1 New policy application
4 Close a policy
6 Change a policy
CREATE TABLE Available_Policies (
Policy_ID INTEGER NOT NULL,
policy_type_code CHAR(15),
Customer_Phone VARCHAR(255),
PRIMARY KEY (Policy_ID),
UNIQUE (Policy_ID)
)
3 rows from Available_Policies table:
Policy_ID policy_type_code Customer_Phone
246 Life Insurance +16(2)5838999222
257 Property Insurance 242.763.9214
300 Property Insurance 1-416-503-7735x94204
CREATE TABLE Customers_Policies (
Customer_ID INTEGER NOT NULL,
Policy_ID INTEGER NOT NULL,
Date_Opened DATE,
Date_Closed DATE,
PRIMARY KEY (Customer_ID, Policy_ID),
FOREIGN KEY (Customer_ID) REFERENCES Customers (Customer_ID),
FOREIGN KEY (Policy_ID) REFERENCES Available_Policies (Policy_ID)
)
3 rows from Customers_Policies table:
Customer_ID Policy_ID Date_Opened Date_Closed
214 257 2016-11-19 2018-03-04
214 301 2016-04-12 2018-02-07
256 583 2016-07-22 2018-02-20
CREATE TABLE First_Notification_of_Loss (
FNOL_ID INTEGER NOT NULL,
Customer_ID INTEGER NOT NULL,
Policy_ID INTEGER NOT NULL,
Service_ID INTEGER NOT NULL,
PRIMARY KEY (FNOL_ID),
UNIQUE (FNOL_ID),
FOREIGN KEY (Service_ID) REFERENCES Services (Service_ID),
FOREIGN KEY (Customer_ID, Policy_ID) REFERENCES Customers_Policies (Customer_ID,Policy_ID)
)
3 rows from First_Notification_of_Loss table:
FNOL_ID Customer_ID Policy_ID Service_ID
532 214 257 6
1611 996 993 9
1722 996 879 6
CREATE TABLE Claims (
Claim_ID INTEGER NOT NULL,
FNOL_ID INTEGER NOT NULL,
Effective_Date DATE,
PRIMARY KEY (Claim_ID),
UNIQUE (Claim_ID),
FOREIGN KEY (FNOL_ID) REFERENCES First_Notification_of_Loss (FNOL_ID)
)
3 rows from Claims table:
Claim_ID FNOL_ID Effective_Date
134 1722 1973-08-18
145 1611 2014-10-19
228 532 1975-05-07
CREATE TABLE Settlements (
Settlement_ID INTEGER NOT NULL,
Claim_ID INTEGER,
Effective_Date DATE,
Settlement_Amount REAL,
PRIMARY KEY (Settlement_ID),
UNIQUE (Settlement_ID),
FOREIGN KEY (Claim_ID) REFERENCES Claims (Claim_ID)
)
3 rows from Settlements table:
Settlement_ID Claim_ID Effective_Date Settlement_Amount
161 717 2009-11-20 6451.65
176 641 1971-06-29 1588.45
205 604 1978-09-09 9814.39
|
insurance_fnol | 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 | CREATE TABLE Customers (
Customer_ID INTEGER NOT NULL,
Customer_name VARCHAR(40),
PRIMARY KEY (Customer_ID)
)
3 rows from Customers table:
Customer_ID Customer_name
194 America Jaskolski
214 Ellsworth Paucek
256 Mrs. Hanna Willms
CREATE TABLE Services (
Service_ID INTEGER NOT NULL,
Service_name VARCHAR(40),
PRIMARY KEY (Service_ID)
)
3 rows from Services table:
Service_ID Service_name
1 New policy application
4 Close a policy
6 Change a policy
CREATE TABLE Available_Policies (
Policy_ID INTEGER NOT NULL,
policy_type_code CHAR(15),
Customer_Phone VARCHAR(255),
PRIMARY KEY (Policy_ID),
UNIQUE (Policy_ID)
)
3 rows from Available_Policies table:
Policy_ID policy_type_code Customer_Phone
246 Life Insurance +16(2)5838999222
257 Property Insurance 242.763.9214
300 Property Insurance 1-416-503-7735x94204
CREATE TABLE Customers_Policies (
Customer_ID INTEGER NOT NULL,
Policy_ID INTEGER NOT NULL,
Date_Opened DATE,
Date_Closed DATE,
PRIMARY KEY (Customer_ID, Policy_ID),
FOREIGN KEY (Customer_ID) REFERENCES Customers (Customer_ID),
FOREIGN KEY (Policy_ID) REFERENCES Available_Policies (Policy_ID)
)
3 rows from Customers_Policies table:
Customer_ID Policy_ID Date_Opened Date_Closed
214 257 2016-11-19 2018-03-04
214 301 2016-04-12 2018-02-07
256 583 2016-07-22 2018-02-20
CREATE TABLE First_Notification_of_Loss (
FNOL_ID INTEGER NOT NULL,
Customer_ID INTEGER NOT NULL,
Policy_ID INTEGER NOT NULL,
Service_ID INTEGER NOT NULL,
PRIMARY KEY (FNOL_ID),
UNIQUE (FNOL_ID),
FOREIGN KEY (Service_ID) REFERENCES Services (Service_ID),
FOREIGN KEY (Customer_ID, Policy_ID) REFERENCES Customers_Policies (Customer_ID,Policy_ID)
)
3 rows from First_Notification_of_Loss table:
FNOL_ID Customer_ID Policy_ID Service_ID
532 214 257 6
1611 996 993 9
1722 996 879 6
CREATE TABLE Claims (
Claim_ID INTEGER NOT NULL,
FNOL_ID INTEGER NOT NULL,
Effective_Date DATE,
PRIMARY KEY (Claim_ID),
UNIQUE (Claim_ID),
FOREIGN KEY (FNOL_ID) REFERENCES First_Notification_of_Loss (FNOL_ID)
)
3 rows from Claims table:
Claim_ID FNOL_ID Effective_Date
134 1722 1973-08-18
145 1611 2014-10-19
228 532 1975-05-07
CREATE TABLE Settlements (
Settlement_ID INTEGER NOT NULL,
Claim_ID INTEGER,
Effective_Date DATE,
Settlement_Amount REAL,
PRIMARY KEY (Settlement_ID),
UNIQUE (Settlement_ID),
FOREIGN KEY (Claim_ID) REFERENCES Claims (Claim_ID)
)
3 rows from Settlements table:
Settlement_ID Claim_ID Effective_Date Settlement_Amount
161 717 2009-11-20 6451.65
176 641 1971-06-29 1588.45
205 604 1978-09-09 9814.39
|
insurance_fnol | 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" | CREATE TABLE Customers (
Customer_ID INTEGER NOT NULL,
Customer_name VARCHAR(40),
PRIMARY KEY (Customer_ID)
)
3 rows from Customers table:
Customer_ID Customer_name
194 America Jaskolski
214 Ellsworth Paucek
256 Mrs. Hanna Willms
CREATE TABLE Services (
Service_ID INTEGER NOT NULL,
Service_name VARCHAR(40),
PRIMARY KEY (Service_ID)
)
3 rows from Services table:
Service_ID Service_name
1 New policy application
4 Close a policy
6 Change a policy
CREATE TABLE Available_Policies (
Policy_ID INTEGER NOT NULL,
policy_type_code CHAR(15),
Customer_Phone VARCHAR(255),
PRIMARY KEY (Policy_ID),
UNIQUE (Policy_ID)
)
3 rows from Available_Policies table:
Policy_ID policy_type_code Customer_Phone
246 Life Insurance +16(2)5838999222
257 Property Insurance 242.763.9214
300 Property Insurance 1-416-503-7735x94204
CREATE TABLE Customers_Policies (
Customer_ID INTEGER NOT NULL,
Policy_ID INTEGER NOT NULL,
Date_Opened DATE,
Date_Closed DATE,
PRIMARY KEY (Customer_ID, Policy_ID),
FOREIGN KEY (Customer_ID) REFERENCES Customers (Customer_ID),
FOREIGN KEY (Policy_ID) REFERENCES Available_Policies (Policy_ID)
)
3 rows from Customers_Policies table:
Customer_ID Policy_ID Date_Opened Date_Closed
214 257 2016-11-19 2018-03-04
214 301 2016-04-12 2018-02-07
256 583 2016-07-22 2018-02-20
CREATE TABLE First_Notification_of_Loss (
FNOL_ID INTEGER NOT NULL,
Customer_ID INTEGER NOT NULL,
Policy_ID INTEGER NOT NULL,
Service_ID INTEGER NOT NULL,
PRIMARY KEY (FNOL_ID),
UNIQUE (FNOL_ID),
FOREIGN KEY (Service_ID) REFERENCES Services (Service_ID),
FOREIGN KEY (Customer_ID, Policy_ID) REFERENCES Customers_Policies (Customer_ID,Policy_ID)
)
3 rows from First_Notification_of_Loss table:
FNOL_ID Customer_ID Policy_ID Service_ID
532 214 257 6
1611 996 993 9
1722 996 879 6
CREATE TABLE Claims (
Claim_ID INTEGER NOT NULL,
FNOL_ID INTEGER NOT NULL,
Effective_Date DATE,
PRIMARY KEY (Claim_ID),
UNIQUE (Claim_ID),
FOREIGN KEY (FNOL_ID) REFERENCES First_Notification_of_Loss (FNOL_ID)
)
3 rows from Claims table:
Claim_ID FNOL_ID Effective_Date
134 1722 1973-08-18
145 1611 2014-10-19
228 532 1975-05-07
CREATE TABLE Settlements (
Settlement_ID INTEGER NOT NULL,
Claim_ID INTEGER,
Effective_Date DATE,
Settlement_Amount REAL,
PRIMARY KEY (Settlement_ID),
UNIQUE (Settlement_ID),
FOREIGN KEY (Claim_ID) REFERENCES Claims (Claim_ID)
)
3 rows from Settlements table:
Settlement_ID Claim_ID Effective_Date Settlement_Amount
161 717 2009-11-20 6451.65
176 641 1971-06-29 1588.45
205 604 1978-09-09 9814.39
|
insurance_fnol | 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" | CREATE TABLE Customers (
Customer_ID INTEGER NOT NULL,
Customer_name VARCHAR(40),
PRIMARY KEY (Customer_ID)
)
3 rows from Customers table:
Customer_ID Customer_name
194 America Jaskolski
214 Ellsworth Paucek
256 Mrs. Hanna Willms
CREATE TABLE Services (
Service_ID INTEGER NOT NULL,
Service_name VARCHAR(40),
PRIMARY KEY (Service_ID)
)
3 rows from Services table:
Service_ID Service_name
1 New policy application
4 Close a policy
6 Change a policy
CREATE TABLE Available_Policies (
Policy_ID INTEGER NOT NULL,
policy_type_code CHAR(15),
Customer_Phone VARCHAR(255),
PRIMARY KEY (Policy_ID),
UNIQUE (Policy_ID)
)
3 rows from Available_Policies table:
Policy_ID policy_type_code Customer_Phone
246 Life Insurance +16(2)5838999222
257 Property Insurance 242.763.9214
300 Property Insurance 1-416-503-7735x94204
CREATE TABLE Customers_Policies (
Customer_ID INTEGER NOT NULL,
Policy_ID INTEGER NOT NULL,
Date_Opened DATE,
Date_Closed DATE,
PRIMARY KEY (Customer_ID, Policy_ID),
FOREIGN KEY (Customer_ID) REFERENCES Customers (Customer_ID),
FOREIGN KEY (Policy_ID) REFERENCES Available_Policies (Policy_ID)
)
3 rows from Customers_Policies table:
Customer_ID Policy_ID Date_Opened Date_Closed
214 257 2016-11-19 2018-03-04
214 301 2016-04-12 2018-02-07
256 583 2016-07-22 2018-02-20
CREATE TABLE First_Notification_of_Loss (
FNOL_ID INTEGER NOT NULL,
Customer_ID INTEGER NOT NULL,
Policy_ID INTEGER NOT NULL,
Service_ID INTEGER NOT NULL,
PRIMARY KEY (FNOL_ID),
UNIQUE (FNOL_ID),
FOREIGN KEY (Service_ID) REFERENCES Services (Service_ID),
FOREIGN KEY (Customer_ID, Policy_ID) REFERENCES Customers_Policies (Customer_ID,Policy_ID)
)
3 rows from First_Notification_of_Loss table:
FNOL_ID Customer_ID Policy_ID Service_ID
532 214 257 6
1611 996 993 9
1722 996 879 6
CREATE TABLE Claims (
Claim_ID INTEGER NOT NULL,
FNOL_ID INTEGER NOT NULL,
Effective_Date DATE,
PRIMARY KEY (Claim_ID),
UNIQUE (Claim_ID),
FOREIGN KEY (FNOL_ID) REFERENCES First_Notification_of_Loss (FNOL_ID)
)
3 rows from Claims table:
Claim_ID FNOL_ID Effective_Date
134 1722 1973-08-18
145 1611 2014-10-19
228 532 1975-05-07
CREATE TABLE Settlements (
Settlement_ID INTEGER NOT NULL,
Claim_ID INTEGER,
Effective_Date DATE,
Settlement_Amount REAL,
PRIMARY KEY (Settlement_ID),
UNIQUE (Settlement_ID),
FOREIGN KEY (Claim_ID) REFERENCES Claims (Claim_ID)
)
3 rows from Settlements table:
Settlement_ID Claim_ID Effective_Date Settlement_Amount
161 717 2009-11-20 6451.65
176 641 1971-06-29 1588.45
205 604 1978-09-09 9814.39
|
insurance_fnol | 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 | CREATE TABLE Customers (
Customer_ID INTEGER NOT NULL,
Customer_name VARCHAR(40),
PRIMARY KEY (Customer_ID)
)
3 rows from Customers table:
Customer_ID Customer_name
194 America Jaskolski
214 Ellsworth Paucek
256 Mrs. Hanna Willms
CREATE TABLE Services (
Service_ID INTEGER NOT NULL,
Service_name VARCHAR(40),
PRIMARY KEY (Service_ID)
)
3 rows from Services table:
Service_ID Service_name
1 New policy application
4 Close a policy
6 Change a policy
CREATE TABLE Available_Policies (
Policy_ID INTEGER NOT NULL,
policy_type_code CHAR(15),
Customer_Phone VARCHAR(255),
PRIMARY KEY (Policy_ID),
UNIQUE (Policy_ID)
)
3 rows from Available_Policies table:
Policy_ID policy_type_code Customer_Phone
246 Life Insurance +16(2)5838999222
257 Property Insurance 242.763.9214
300 Property Insurance 1-416-503-7735x94204
CREATE TABLE Customers_Policies (
Customer_ID INTEGER NOT NULL,
Policy_ID INTEGER NOT NULL,
Date_Opened DATE,
Date_Closed DATE,
PRIMARY KEY (Customer_ID, Policy_ID),
FOREIGN KEY (Customer_ID) REFERENCES Customers (Customer_ID),
FOREIGN KEY (Policy_ID) REFERENCES Available_Policies (Policy_ID)
)
3 rows from Customers_Policies table:
Customer_ID Policy_ID Date_Opened Date_Closed
214 257 2016-11-19 2018-03-04
214 301 2016-04-12 2018-02-07
256 583 2016-07-22 2018-02-20
CREATE TABLE First_Notification_of_Loss (
FNOL_ID INTEGER NOT NULL,
Customer_ID INTEGER NOT NULL,
Policy_ID INTEGER NOT NULL,
Service_ID INTEGER NOT NULL,
PRIMARY KEY (FNOL_ID),
UNIQUE (FNOL_ID),
FOREIGN KEY (Service_ID) REFERENCES Services (Service_ID),
FOREIGN KEY (Customer_ID, Policy_ID) REFERENCES Customers_Policies (Customer_ID,Policy_ID)
)
3 rows from First_Notification_of_Loss table:
FNOL_ID Customer_ID Policy_ID Service_ID
532 214 257 6
1611 996 993 9
1722 996 879 6
CREATE TABLE Claims (
Claim_ID INTEGER NOT NULL,
FNOL_ID INTEGER NOT NULL,
Effective_Date DATE,
PRIMARY KEY (Claim_ID),
UNIQUE (Claim_ID),
FOREIGN KEY (FNOL_ID) REFERENCES First_Notification_of_Loss (FNOL_ID)
)
3 rows from Claims table:
Claim_ID FNOL_ID Effective_Date
134 1722 1973-08-18
145 1611 2014-10-19
228 532 1975-05-07
CREATE TABLE Settlements (
Settlement_ID INTEGER NOT NULL,
Claim_ID INTEGER,
Effective_Date DATE,
Settlement_Amount REAL,
PRIMARY KEY (Settlement_ID),
UNIQUE (Settlement_ID),
FOREIGN KEY (Claim_ID) REFERENCES Claims (Claim_ID)
)
3 rows from Settlements table:
Settlement_ID Claim_ID Effective_Date Settlement_Amount
161 717 2009-11-20 6451.65
176 641 1971-06-29 1588.45
205 604 1978-09-09 9814.39
|
insurance_fnol | 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 | CREATE TABLE Customers (
Customer_ID INTEGER NOT NULL,
Customer_name VARCHAR(40),
PRIMARY KEY (Customer_ID)
)
3 rows from Customers table:
Customer_ID Customer_name
194 America Jaskolski
214 Ellsworth Paucek
256 Mrs. Hanna Willms
CREATE TABLE Services (
Service_ID INTEGER NOT NULL,
Service_name VARCHAR(40),
PRIMARY KEY (Service_ID)
)
3 rows from Services table:
Service_ID Service_name
1 New policy application
4 Close a policy
6 Change a policy
CREATE TABLE Available_Policies (
Policy_ID INTEGER NOT NULL,
policy_type_code CHAR(15),
Customer_Phone VARCHAR(255),
PRIMARY KEY (Policy_ID),
UNIQUE (Policy_ID)
)
3 rows from Available_Policies table:
Policy_ID policy_type_code Customer_Phone
246 Life Insurance +16(2)5838999222
257 Property Insurance 242.763.9214
300 Property Insurance 1-416-503-7735x94204
CREATE TABLE Customers_Policies (
Customer_ID INTEGER NOT NULL,
Policy_ID INTEGER NOT NULL,
Date_Opened DATE,
Date_Closed DATE,
PRIMARY KEY (Customer_ID, Policy_ID),
FOREIGN KEY (Customer_ID) REFERENCES Customers (Customer_ID),
FOREIGN KEY (Policy_ID) REFERENCES Available_Policies (Policy_ID)
)
3 rows from Customers_Policies table:
Customer_ID Policy_ID Date_Opened Date_Closed
214 257 2016-11-19 2018-03-04
214 301 2016-04-12 2018-02-07
256 583 2016-07-22 2018-02-20
CREATE TABLE First_Notification_of_Loss (
FNOL_ID INTEGER NOT NULL,
Customer_ID INTEGER NOT NULL,
Policy_ID INTEGER NOT NULL,
Service_ID INTEGER NOT NULL,
PRIMARY KEY (FNOL_ID),
UNIQUE (FNOL_ID),
FOREIGN KEY (Service_ID) REFERENCES Services (Service_ID),
FOREIGN KEY (Customer_ID, Policy_ID) REFERENCES Customers_Policies (Customer_ID,Policy_ID)
)
3 rows from First_Notification_of_Loss table:
FNOL_ID Customer_ID Policy_ID Service_ID
532 214 257 6
1611 996 993 9
1722 996 879 6
CREATE TABLE Claims (
Claim_ID INTEGER NOT NULL,
FNOL_ID INTEGER NOT NULL,
Effective_Date DATE,
PRIMARY KEY (Claim_ID),
UNIQUE (Claim_ID),
FOREIGN KEY (FNOL_ID) REFERENCES First_Notification_of_Loss (FNOL_ID)
)
3 rows from Claims table:
Claim_ID FNOL_ID Effective_Date
134 1722 1973-08-18
145 1611 2014-10-19
228 532 1975-05-07
CREATE TABLE Settlements (
Settlement_ID INTEGER NOT NULL,
Claim_ID INTEGER,
Effective_Date DATE,
Settlement_Amount REAL,
PRIMARY KEY (Settlement_ID),
UNIQUE (Settlement_ID),
FOREIGN KEY (Claim_ID) REFERENCES Claims (Claim_ID)
)
3 rows from Settlements table:
Settlement_ID Claim_ID Effective_Date Settlement_Amount
161 717 2009-11-20 6451.65
176 641 1971-06-29 1588.45
205 604 1978-09-09 9814.39
|
insurance_fnol | 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" | CREATE TABLE Customers (
Customer_ID INTEGER NOT NULL,
Customer_name VARCHAR(40),
PRIMARY KEY (Customer_ID)
)
3 rows from Customers table:
Customer_ID Customer_name
194 America Jaskolski
214 Ellsworth Paucek
256 Mrs. Hanna Willms
CREATE TABLE Services (
Service_ID INTEGER NOT NULL,
Service_name VARCHAR(40),
PRIMARY KEY (Service_ID)
)
3 rows from Services table:
Service_ID Service_name
1 New policy application
4 Close a policy
6 Change a policy
CREATE TABLE Available_Policies (
Policy_ID INTEGER NOT NULL,
policy_type_code CHAR(15),
Customer_Phone VARCHAR(255),
PRIMARY KEY (Policy_ID),
UNIQUE (Policy_ID)
)
3 rows from Available_Policies table:
Policy_ID policy_type_code Customer_Phone
246 Life Insurance +16(2)5838999222
257 Property Insurance 242.763.9214
300 Property Insurance 1-416-503-7735x94204
CREATE TABLE Customers_Policies (
Customer_ID INTEGER NOT NULL,
Policy_ID INTEGER NOT NULL,
Date_Opened DATE,
Date_Closed DATE,
PRIMARY KEY (Customer_ID, Policy_ID),
FOREIGN KEY (Customer_ID) REFERENCES Customers (Customer_ID),
FOREIGN KEY (Policy_ID) REFERENCES Available_Policies (Policy_ID)
)
3 rows from Customers_Policies table:
Customer_ID Policy_ID Date_Opened Date_Closed
214 257 2016-11-19 2018-03-04
214 301 2016-04-12 2018-02-07
256 583 2016-07-22 2018-02-20
CREATE TABLE First_Notification_of_Loss (
FNOL_ID INTEGER NOT NULL,
Customer_ID INTEGER NOT NULL,
Policy_ID INTEGER NOT NULL,
Service_ID INTEGER NOT NULL,
PRIMARY KEY (FNOL_ID),
UNIQUE (FNOL_ID),
FOREIGN KEY (Service_ID) REFERENCES Services (Service_ID),
FOREIGN KEY (Customer_ID, Policy_ID) REFERENCES Customers_Policies (Customer_ID,Policy_ID)
)
3 rows from First_Notification_of_Loss table:
FNOL_ID Customer_ID Policy_ID Service_ID
532 214 257 6
1611 996 993 9
1722 996 879 6
CREATE TABLE Claims (
Claim_ID INTEGER NOT NULL,
FNOL_ID INTEGER NOT NULL,
Effective_Date DATE,
PRIMARY KEY (Claim_ID),
UNIQUE (Claim_ID),
FOREIGN KEY (FNOL_ID) REFERENCES First_Notification_of_Loss (FNOL_ID)
)
3 rows from Claims table:
Claim_ID FNOL_ID Effective_Date
134 1722 1973-08-18
145 1611 2014-10-19
228 532 1975-05-07
CREATE TABLE Settlements (
Settlement_ID INTEGER NOT NULL,
Claim_ID INTEGER,
Effective_Date DATE,
Settlement_Amount REAL,
PRIMARY KEY (Settlement_ID),
UNIQUE (Settlement_ID),
FOREIGN KEY (Claim_ID) REFERENCES Claims (Claim_ID)
)
3 rows from Settlements table:
Settlement_ID Claim_ID Effective_Date Settlement_Amount
161 717 2009-11-20 6451.65
176 641 1971-06-29 1588.45
205 604 1978-09-09 9814.39
|
insurance_fnol | 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" | CREATE TABLE Customers (
Customer_ID INTEGER NOT NULL,
Customer_name VARCHAR(40),
PRIMARY KEY (Customer_ID)
)
3 rows from Customers table:
Customer_ID Customer_name
194 America Jaskolski
214 Ellsworth Paucek
256 Mrs. Hanna Willms
CREATE TABLE Services (
Service_ID INTEGER NOT NULL,
Service_name VARCHAR(40),
PRIMARY KEY (Service_ID)
)
3 rows from Services table:
Service_ID Service_name
1 New policy application
4 Close a policy
6 Change a policy
CREATE TABLE Available_Policies (
Policy_ID INTEGER NOT NULL,
policy_type_code CHAR(15),
Customer_Phone VARCHAR(255),
PRIMARY KEY (Policy_ID),
UNIQUE (Policy_ID)
)
3 rows from Available_Policies table:
Policy_ID policy_type_code Customer_Phone
246 Life Insurance +16(2)5838999222
257 Property Insurance 242.763.9214
300 Property Insurance 1-416-503-7735x94204
CREATE TABLE Customers_Policies (
Customer_ID INTEGER NOT NULL,
Policy_ID INTEGER NOT NULL,
Date_Opened DATE,
Date_Closed DATE,
PRIMARY KEY (Customer_ID, Policy_ID),
FOREIGN KEY (Customer_ID) REFERENCES Customers (Customer_ID),
FOREIGN KEY (Policy_ID) REFERENCES Available_Policies (Policy_ID)
)
3 rows from Customers_Policies table:
Customer_ID Policy_ID Date_Opened Date_Closed
214 257 2016-11-19 2018-03-04
214 301 2016-04-12 2018-02-07
256 583 2016-07-22 2018-02-20
CREATE TABLE First_Notification_of_Loss (
FNOL_ID INTEGER NOT NULL,
Customer_ID INTEGER NOT NULL,
Policy_ID INTEGER NOT NULL,
Service_ID INTEGER NOT NULL,
PRIMARY KEY (FNOL_ID),
UNIQUE (FNOL_ID),
FOREIGN KEY (Service_ID) REFERENCES Services (Service_ID),
FOREIGN KEY (Customer_ID, Policy_ID) REFERENCES Customers_Policies (Customer_ID,Policy_ID)
)
3 rows from First_Notification_of_Loss table:
FNOL_ID Customer_ID Policy_ID Service_ID
532 214 257 6
1611 996 993 9
1722 996 879 6
CREATE TABLE Claims (
Claim_ID INTEGER NOT NULL,
FNOL_ID INTEGER NOT NULL,
Effective_Date DATE,
PRIMARY KEY (Claim_ID),
UNIQUE (Claim_ID),
FOREIGN KEY (FNOL_ID) REFERENCES First_Notification_of_Loss (FNOL_ID)
)
3 rows from Claims table:
Claim_ID FNOL_ID Effective_Date
134 1722 1973-08-18
145 1611 2014-10-19
228 532 1975-05-07
CREATE TABLE Settlements (
Settlement_ID INTEGER NOT NULL,
Claim_ID INTEGER,
Effective_Date DATE,
Settlement_Amount REAL,
PRIMARY KEY (Settlement_ID),
UNIQUE (Settlement_ID),
FOREIGN KEY (Claim_ID) REFERENCES Claims (Claim_ID)
)
3 rows from Settlements table:
Settlement_ID Claim_ID Effective_Date Settlement_Amount
161 717 2009-11-20 6451.65
176 641 1971-06-29 1588.45
205 604 1978-09-09 9814.39
|
insurance_fnol | 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) | CREATE TABLE Customers (
Customer_ID INTEGER NOT NULL,
Customer_name VARCHAR(40),
PRIMARY KEY (Customer_ID)
)
3 rows from Customers table:
Customer_ID Customer_name
194 America Jaskolski
214 Ellsworth Paucek
256 Mrs. Hanna Willms
CREATE TABLE Services (
Service_ID INTEGER NOT NULL,
Service_name VARCHAR(40),
PRIMARY KEY (Service_ID)
)
3 rows from Services table:
Service_ID Service_name
1 New policy application
4 Close a policy
6 Change a policy
CREATE TABLE Available_Policies (
Policy_ID INTEGER NOT NULL,
policy_type_code CHAR(15),
Customer_Phone VARCHAR(255),
PRIMARY KEY (Policy_ID),
UNIQUE (Policy_ID)
)
3 rows from Available_Policies table:
Policy_ID policy_type_code Customer_Phone
246 Life Insurance +16(2)5838999222
257 Property Insurance 242.763.9214
300 Property Insurance 1-416-503-7735x94204
CREATE TABLE Customers_Policies (
Customer_ID INTEGER NOT NULL,
Policy_ID INTEGER NOT NULL,
Date_Opened DATE,
Date_Closed DATE,
PRIMARY KEY (Customer_ID, Policy_ID),
FOREIGN KEY (Customer_ID) REFERENCES Customers (Customer_ID),
FOREIGN KEY (Policy_ID) REFERENCES Available_Policies (Policy_ID)
)
3 rows from Customers_Policies table:
Customer_ID Policy_ID Date_Opened Date_Closed
214 257 2016-11-19 2018-03-04
214 301 2016-04-12 2018-02-07
256 583 2016-07-22 2018-02-20
CREATE TABLE First_Notification_of_Loss (
FNOL_ID INTEGER NOT NULL,
Customer_ID INTEGER NOT NULL,
Policy_ID INTEGER NOT NULL,
Service_ID INTEGER NOT NULL,
PRIMARY KEY (FNOL_ID),
UNIQUE (FNOL_ID),
FOREIGN KEY (Service_ID) REFERENCES Services (Service_ID),
FOREIGN KEY (Customer_ID, Policy_ID) REFERENCES Customers_Policies (Customer_ID,Policy_ID)
)
3 rows from First_Notification_of_Loss table:
FNOL_ID Customer_ID Policy_ID Service_ID
532 214 257 6
1611 996 993 9
1722 996 879 6
CREATE TABLE Claims (
Claim_ID INTEGER NOT NULL,
FNOL_ID INTEGER NOT NULL,
Effective_Date DATE,
PRIMARY KEY (Claim_ID),
UNIQUE (Claim_ID),
FOREIGN KEY (FNOL_ID) REFERENCES First_Notification_of_Loss (FNOL_ID)
)
3 rows from Claims table:
Claim_ID FNOL_ID Effective_Date
134 1722 1973-08-18
145 1611 2014-10-19
228 532 1975-05-07
CREATE TABLE Settlements (
Settlement_ID INTEGER NOT NULL,
Claim_ID INTEGER,
Effective_Date DATE,
Settlement_Amount REAL,
PRIMARY KEY (Settlement_ID),
UNIQUE (Settlement_ID),
FOREIGN KEY (Claim_ID) REFERENCES Claims (Claim_ID)
)
3 rows from Settlements table:
Settlement_ID Claim_ID Effective_Date Settlement_Amount
161 717 2009-11-20 6451.65
176 641 1971-06-29 1588.45
205 604 1978-09-09 9814.39
|
insurance_fnol | 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) | CREATE TABLE Customers (
Customer_ID INTEGER NOT NULL,
Customer_name VARCHAR(40),
PRIMARY KEY (Customer_ID)
)
3 rows from Customers table:
Customer_ID Customer_name
194 America Jaskolski
214 Ellsworth Paucek
256 Mrs. Hanna Willms
CREATE TABLE Services (
Service_ID INTEGER NOT NULL,
Service_name VARCHAR(40),
PRIMARY KEY (Service_ID)
)
3 rows from Services table:
Service_ID Service_name
1 New policy application
4 Close a policy
6 Change a policy
CREATE TABLE Available_Policies (
Policy_ID INTEGER NOT NULL,
policy_type_code CHAR(15),
Customer_Phone VARCHAR(255),
PRIMARY KEY (Policy_ID),
UNIQUE (Policy_ID)
)
3 rows from Available_Policies table:
Policy_ID policy_type_code Customer_Phone
246 Life Insurance +16(2)5838999222
257 Property Insurance 242.763.9214
300 Property Insurance 1-416-503-7735x94204
CREATE TABLE Customers_Policies (
Customer_ID INTEGER NOT NULL,
Policy_ID INTEGER NOT NULL,
Date_Opened DATE,
Date_Closed DATE,
PRIMARY KEY (Customer_ID, Policy_ID),
FOREIGN KEY (Customer_ID) REFERENCES Customers (Customer_ID),
FOREIGN KEY (Policy_ID) REFERENCES Available_Policies (Policy_ID)
)
3 rows from Customers_Policies table:
Customer_ID Policy_ID Date_Opened Date_Closed
214 257 2016-11-19 2018-03-04
214 301 2016-04-12 2018-02-07
256 583 2016-07-22 2018-02-20
CREATE TABLE First_Notification_of_Loss (
FNOL_ID INTEGER NOT NULL,
Customer_ID INTEGER NOT NULL,
Policy_ID INTEGER NOT NULL,
Service_ID INTEGER NOT NULL,
PRIMARY KEY (FNOL_ID),
UNIQUE (FNOL_ID),
FOREIGN KEY (Service_ID) REFERENCES Services (Service_ID),
FOREIGN KEY (Customer_ID, Policy_ID) REFERENCES Customers_Policies (Customer_ID,Policy_ID)
)
3 rows from First_Notification_of_Loss table:
FNOL_ID Customer_ID Policy_ID Service_ID
532 214 257 6
1611 996 993 9
1722 996 879 6
CREATE TABLE Claims (
Claim_ID INTEGER NOT NULL,
FNOL_ID INTEGER NOT NULL,
Effective_Date DATE,
PRIMARY KEY (Claim_ID),
UNIQUE (Claim_ID),
FOREIGN KEY (FNOL_ID) REFERENCES First_Notification_of_Loss (FNOL_ID)
)
3 rows from Claims table:
Claim_ID FNOL_ID Effective_Date
134 1722 1973-08-18
145 1611 2014-10-19
228 532 1975-05-07
CREATE TABLE Settlements (
Settlement_ID INTEGER NOT NULL,
Claim_ID INTEGER,
Effective_Date DATE,
Settlement_Amount REAL,
PRIMARY KEY (Settlement_ID),
UNIQUE (Settlement_ID),
FOREIGN KEY (Claim_ID) REFERENCES Claims (Claim_ID)
)
3 rows from Settlements table:
Settlement_ID Claim_ID Effective_Date Settlement_Amount
161 717 2009-11-20 6451.65
176 641 1971-06-29 1588.45
205 604 1978-09-09 9814.39
|
insurance_fnol | List all the services in the alphabetical order. | SELECT service_name FROM services ORDER BY service_name | CREATE TABLE Customers (
Customer_ID INTEGER NOT NULL,
Customer_name VARCHAR(40),
PRIMARY KEY (Customer_ID)
)
3 rows from Customers table:
Customer_ID Customer_name
194 America Jaskolski
214 Ellsworth Paucek
256 Mrs. Hanna Willms
CREATE TABLE Services (
Service_ID INTEGER NOT NULL,
Service_name VARCHAR(40),
PRIMARY KEY (Service_ID)
)
3 rows from Services table:
Service_ID Service_name
1 New policy application
4 Close a policy
6 Change a policy
CREATE TABLE Available_Policies (
Policy_ID INTEGER NOT NULL,
policy_type_code CHAR(15),
Customer_Phone VARCHAR(255),
PRIMARY KEY (Policy_ID),
UNIQUE (Policy_ID)
)
3 rows from Available_Policies table:
Policy_ID policy_type_code Customer_Phone
246 Life Insurance +16(2)5838999222
257 Property Insurance 242.763.9214
300 Property Insurance 1-416-503-7735x94204
CREATE TABLE Customers_Policies (
Customer_ID INTEGER NOT NULL,
Policy_ID INTEGER NOT NULL,
Date_Opened DATE,
Date_Closed DATE,
PRIMARY KEY (Customer_ID, Policy_ID),
FOREIGN KEY (Customer_ID) REFERENCES Customers (Customer_ID),
FOREIGN KEY (Policy_ID) REFERENCES Available_Policies (Policy_ID)
)
3 rows from Customers_Policies table:
Customer_ID Policy_ID Date_Opened Date_Closed
214 257 2016-11-19 2018-03-04
214 301 2016-04-12 2018-02-07
256 583 2016-07-22 2018-02-20
CREATE TABLE First_Notification_of_Loss (
FNOL_ID INTEGER NOT NULL,
Customer_ID INTEGER NOT NULL,
Policy_ID INTEGER NOT NULL,
Service_ID INTEGER NOT NULL,
PRIMARY KEY (FNOL_ID),
UNIQUE (FNOL_ID),
FOREIGN KEY (Service_ID) REFERENCES Services (Service_ID),
FOREIGN KEY (Customer_ID, Policy_ID) REFERENCES Customers_Policies (Customer_ID,Policy_ID)
)
3 rows from First_Notification_of_Loss table:
FNOL_ID Customer_ID Policy_ID Service_ID
532 214 257 6
1611 996 993 9
1722 996 879 6
CREATE TABLE Claims (
Claim_ID INTEGER NOT NULL,
FNOL_ID INTEGER NOT NULL,
Effective_Date DATE,
PRIMARY KEY (Claim_ID),
UNIQUE (Claim_ID),
FOREIGN KEY (FNOL_ID) REFERENCES First_Notification_of_Loss (FNOL_ID)
)
3 rows from Claims table:
Claim_ID FNOL_ID Effective_Date
134 1722 1973-08-18
145 1611 2014-10-19
228 532 1975-05-07
CREATE TABLE Settlements (
Settlement_ID INTEGER NOT NULL,
Claim_ID INTEGER,
Effective_Date DATE,
Settlement_Amount REAL,
PRIMARY KEY (Settlement_ID),
UNIQUE (Settlement_ID),
FOREIGN KEY (Claim_ID) REFERENCES Claims (Claim_ID)
)
3 rows from Settlements table:
Settlement_ID Claim_ID Effective_Date Settlement_Amount
161 717 2009-11-20 6451.65
176 641 1971-06-29 1588.45
205 604 1978-09-09 9814.39
|
insurance_fnol | Give me a list of all the service names sorted alphabetically. | SELECT service_name FROM services ORDER BY service_name | CREATE TABLE Customers (
Customer_ID INTEGER NOT NULL,
Customer_name VARCHAR(40),
PRIMARY KEY (Customer_ID)
)
3 rows from Customers table:
Customer_ID Customer_name
194 America Jaskolski
214 Ellsworth Paucek
256 Mrs. Hanna Willms
CREATE TABLE Services (
Service_ID INTEGER NOT NULL,
Service_name VARCHAR(40),
PRIMARY KEY (Service_ID)
)
3 rows from Services table:
Service_ID Service_name
1 New policy application
4 Close a policy
6 Change a policy
CREATE TABLE Available_Policies (
Policy_ID INTEGER NOT NULL,
policy_type_code CHAR(15),
Customer_Phone VARCHAR(255),
PRIMARY KEY (Policy_ID),
UNIQUE (Policy_ID)
)
3 rows from Available_Policies table:
Policy_ID policy_type_code Customer_Phone
246 Life Insurance +16(2)5838999222
257 Property Insurance 242.763.9214
300 Property Insurance 1-416-503-7735x94204
CREATE TABLE Customers_Policies (
Customer_ID INTEGER NOT NULL,
Policy_ID INTEGER NOT NULL,
Date_Opened DATE,
Date_Closed DATE,
PRIMARY KEY (Customer_ID, Policy_ID),
FOREIGN KEY (Customer_ID) REFERENCES Customers (Customer_ID),
FOREIGN KEY (Policy_ID) REFERENCES Available_Policies (Policy_ID)
)
3 rows from Customers_Policies table:
Customer_ID Policy_ID Date_Opened Date_Closed
214 257 2016-11-19 2018-03-04
214 301 2016-04-12 2018-02-07
256 583 2016-07-22 2018-02-20
CREATE TABLE First_Notification_of_Loss (
FNOL_ID INTEGER NOT NULL,
Customer_ID INTEGER NOT NULL,
Policy_ID INTEGER NOT NULL,
Service_ID INTEGER NOT NULL,
PRIMARY KEY (FNOL_ID),
UNIQUE (FNOL_ID),
FOREIGN KEY (Service_ID) REFERENCES Services (Service_ID),
FOREIGN KEY (Customer_ID, Policy_ID) REFERENCES Customers_Policies (Customer_ID,Policy_ID)
)
3 rows from First_Notification_of_Loss table:
FNOL_ID Customer_ID Policy_ID Service_ID
532 214 257 6
1611 996 993 9
1722 996 879 6
CREATE TABLE Claims (
Claim_ID INTEGER NOT NULL,
FNOL_ID INTEGER NOT NULL,
Effective_Date DATE,
PRIMARY KEY (Claim_ID),
UNIQUE (Claim_ID),
FOREIGN KEY (FNOL_ID) REFERENCES First_Notification_of_Loss (FNOL_ID)
)
3 rows from Claims table:
Claim_ID FNOL_ID Effective_Date
134 1722 1973-08-18
145 1611 2014-10-19
228 532 1975-05-07
CREATE TABLE Settlements (
Settlement_ID INTEGER NOT NULL,
Claim_ID INTEGER,
Effective_Date DATE,
Settlement_Amount REAL,
PRIMARY KEY (Settlement_ID),
UNIQUE (Settlement_ID),
FOREIGN KEY (Claim_ID) REFERENCES Claims (Claim_ID)
)
3 rows from Settlements table:
Settlement_ID Claim_ID Effective_Date Settlement_Amount
161 717 2009-11-20 6451.65
176 641 1971-06-29 1588.45
205 604 1978-09-09 9814.39
|
insurance_fnol | How many services are there? | SELECT count(*) FROM services | CREATE TABLE Customers (
Customer_ID INTEGER NOT NULL,
Customer_name VARCHAR(40),
PRIMARY KEY (Customer_ID)
)
3 rows from Customers table:
Customer_ID Customer_name
194 America Jaskolski
214 Ellsworth Paucek
256 Mrs. Hanna Willms
CREATE TABLE Services (
Service_ID INTEGER NOT NULL,
Service_name VARCHAR(40),
PRIMARY KEY (Service_ID)
)
3 rows from Services table:
Service_ID Service_name
1 New policy application
4 Close a policy
6 Change a policy
CREATE TABLE Available_Policies (
Policy_ID INTEGER NOT NULL,
policy_type_code CHAR(15),
Customer_Phone VARCHAR(255),
PRIMARY KEY (Policy_ID),
UNIQUE (Policy_ID)
)
3 rows from Available_Policies table:
Policy_ID policy_type_code Customer_Phone
246 Life Insurance +16(2)5838999222
257 Property Insurance 242.763.9214
300 Property Insurance 1-416-503-7735x94204
CREATE TABLE Customers_Policies (
Customer_ID INTEGER NOT NULL,
Policy_ID INTEGER NOT NULL,
Date_Opened DATE,
Date_Closed DATE,
PRIMARY KEY (Customer_ID, Policy_ID),
FOREIGN KEY (Customer_ID) REFERENCES Customers (Customer_ID),
FOREIGN KEY (Policy_ID) REFERENCES Available_Policies (Policy_ID)
)
3 rows from Customers_Policies table:
Customer_ID Policy_ID Date_Opened Date_Closed
214 257 2016-11-19 2018-03-04
214 301 2016-04-12 2018-02-07
256 583 2016-07-22 2018-02-20
CREATE TABLE First_Notification_of_Loss (
FNOL_ID INTEGER NOT NULL,
Customer_ID INTEGER NOT NULL,
Policy_ID INTEGER NOT NULL,
Service_ID INTEGER NOT NULL,
PRIMARY KEY (FNOL_ID),
UNIQUE (FNOL_ID),
FOREIGN KEY (Service_ID) REFERENCES Services (Service_ID),
FOREIGN KEY (Customer_ID, Policy_ID) REFERENCES Customers_Policies (Customer_ID,Policy_ID)
)
3 rows from First_Notification_of_Loss table:
FNOL_ID Customer_ID Policy_ID Service_ID
532 214 257 6
1611 996 993 9
1722 996 879 6
CREATE TABLE Claims (
Claim_ID INTEGER NOT NULL,
FNOL_ID INTEGER NOT NULL,
Effective_Date DATE,
PRIMARY KEY (Claim_ID),
UNIQUE (Claim_ID),
FOREIGN KEY (FNOL_ID) REFERENCES First_Notification_of_Loss (FNOL_ID)
)
3 rows from Claims table:
Claim_ID FNOL_ID Effective_Date
134 1722 1973-08-18
145 1611 2014-10-19
228 532 1975-05-07
CREATE TABLE Settlements (
Settlement_ID INTEGER NOT NULL,
Claim_ID INTEGER,
Effective_Date DATE,
Settlement_Amount REAL,
PRIMARY KEY (Settlement_ID),
UNIQUE (Settlement_ID),
FOREIGN KEY (Claim_ID) REFERENCES Claims (Claim_ID)
)
3 rows from Settlements table:
Settlement_ID Claim_ID Effective_Date Settlement_Amount
161 717 2009-11-20 6451.65
176 641 1971-06-29 1588.45
205 604 1978-09-09 9814.39
|
insurance_fnol | Count the total number of available services. | SELECT count(*) FROM services | CREATE TABLE Customers (
Customer_ID INTEGER NOT NULL,
Customer_name VARCHAR(40),
PRIMARY KEY (Customer_ID)
)
3 rows from Customers table:
Customer_ID Customer_name
194 America Jaskolski
214 Ellsworth Paucek
256 Mrs. Hanna Willms
CREATE TABLE Services (
Service_ID INTEGER NOT NULL,
Service_name VARCHAR(40),
PRIMARY KEY (Service_ID)
)
3 rows from Services table:
Service_ID Service_name
1 New policy application
4 Close a policy
6 Change a policy
CREATE TABLE Available_Policies (
Policy_ID INTEGER NOT NULL,
policy_type_code CHAR(15),
Customer_Phone VARCHAR(255),
PRIMARY KEY (Policy_ID),
UNIQUE (Policy_ID)
)
3 rows from Available_Policies table:
Policy_ID policy_type_code Customer_Phone
246 Life Insurance +16(2)5838999222
257 Property Insurance 242.763.9214
300 Property Insurance 1-416-503-7735x94204
CREATE TABLE Customers_Policies (
Customer_ID INTEGER NOT NULL,
Policy_ID INTEGER NOT NULL,
Date_Opened DATE,
Date_Closed DATE,
PRIMARY KEY (Customer_ID, Policy_ID),
FOREIGN KEY (Customer_ID) REFERENCES Customers (Customer_ID),
FOREIGN KEY (Policy_ID) REFERENCES Available_Policies (Policy_ID)
)
3 rows from Customers_Policies table:
Customer_ID Policy_ID Date_Opened Date_Closed
214 257 2016-11-19 2018-03-04
214 301 2016-04-12 2018-02-07
256 583 2016-07-22 2018-02-20
CREATE TABLE First_Notification_of_Loss (
FNOL_ID INTEGER NOT NULL,
Customer_ID INTEGER NOT NULL,
Policy_ID INTEGER NOT NULL,
Service_ID INTEGER NOT NULL,
PRIMARY KEY (FNOL_ID),
UNIQUE (FNOL_ID),
FOREIGN KEY (Service_ID) REFERENCES Services (Service_ID),
FOREIGN KEY (Customer_ID, Policy_ID) REFERENCES Customers_Policies (Customer_ID,Policy_ID)
)
3 rows from First_Notification_of_Loss table:
FNOL_ID Customer_ID Policy_ID Service_ID
532 214 257 6
1611 996 993 9
1722 996 879 6
CREATE TABLE Claims (
Claim_ID INTEGER NOT NULL,
FNOL_ID INTEGER NOT NULL,
Effective_Date DATE,
PRIMARY KEY (Claim_ID),
UNIQUE (Claim_ID),
FOREIGN KEY (FNOL_ID) REFERENCES First_Notification_of_Loss (FNOL_ID)
)
3 rows from Claims table:
Claim_ID FNOL_ID Effective_Date
134 1722 1973-08-18
145 1611 2014-10-19
228 532 1975-05-07
CREATE TABLE Settlements (
Settlement_ID INTEGER NOT NULL,
Claim_ID INTEGER,
Effective_Date DATE,
Settlement_Amount REAL,
PRIMARY KEY (Settlement_ID),
UNIQUE (Settlement_ID),
FOREIGN KEY (Claim_ID) REFERENCES Claims (Claim_ID)
)
3 rows from Settlements table:
Settlement_ID Claim_ID Effective_Date Settlement_Amount
161 717 2009-11-20 6451.65
176 641 1971-06-29 1588.45
205 604 1978-09-09 9814.39
|
insurance_fnol | 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 | CREATE TABLE Customers (
Customer_ID INTEGER NOT NULL,
Customer_name VARCHAR(40),
PRIMARY KEY (Customer_ID)
)
3 rows from Customers table:
Customer_ID Customer_name
194 America Jaskolski
214 Ellsworth Paucek
256 Mrs. Hanna Willms
CREATE TABLE Services (
Service_ID INTEGER NOT NULL,
Service_name VARCHAR(40),
PRIMARY KEY (Service_ID)
)
3 rows from Services table:
Service_ID Service_name
1 New policy application
4 Close a policy
6 Change a policy
CREATE TABLE Available_Policies (
Policy_ID INTEGER NOT NULL,
policy_type_code CHAR(15),
Customer_Phone VARCHAR(255),
PRIMARY KEY (Policy_ID),
UNIQUE (Policy_ID)
)
3 rows from Available_Policies table:
Policy_ID policy_type_code Customer_Phone
246 Life Insurance +16(2)5838999222
257 Property Insurance 242.763.9214
300 Property Insurance 1-416-503-7735x94204
CREATE TABLE Customers_Policies (
Customer_ID INTEGER NOT NULL,
Policy_ID INTEGER NOT NULL,
Date_Opened DATE,
Date_Closed DATE,
PRIMARY KEY (Customer_ID, Policy_ID),
FOREIGN KEY (Customer_ID) REFERENCES Customers (Customer_ID),
FOREIGN KEY (Policy_ID) REFERENCES Available_Policies (Policy_ID)
)
3 rows from Customers_Policies table:
Customer_ID Policy_ID Date_Opened Date_Closed
214 257 2016-11-19 2018-03-04
214 301 2016-04-12 2018-02-07
256 583 2016-07-22 2018-02-20
CREATE TABLE First_Notification_of_Loss (
FNOL_ID INTEGER NOT NULL,
Customer_ID INTEGER NOT NULL,
Policy_ID INTEGER NOT NULL,
Service_ID INTEGER NOT NULL,
PRIMARY KEY (FNOL_ID),
UNIQUE (FNOL_ID),
FOREIGN KEY (Service_ID) REFERENCES Services (Service_ID),
FOREIGN KEY (Customer_ID, Policy_ID) REFERENCES Customers_Policies (Customer_ID,Policy_ID)
)
3 rows from First_Notification_of_Loss table:
FNOL_ID Customer_ID Policy_ID Service_ID
532 214 257 6
1611 996 993 9
1722 996 879 6
CREATE TABLE Claims (
Claim_ID INTEGER NOT NULL,
FNOL_ID INTEGER NOT NULL,
Effective_Date DATE,
PRIMARY KEY (Claim_ID),
UNIQUE (Claim_ID),
FOREIGN KEY (FNOL_ID) REFERENCES First_Notification_of_Loss (FNOL_ID)
)
3 rows from Claims table:
Claim_ID FNOL_ID Effective_Date
134 1722 1973-08-18
145 1611 2014-10-19
228 532 1975-05-07
CREATE TABLE Settlements (
Settlement_ID INTEGER NOT NULL,
Claim_ID INTEGER,
Effective_Date DATE,
Settlement_Amount REAL,
PRIMARY KEY (Settlement_ID),
UNIQUE (Settlement_ID),
FOREIGN KEY (Claim_ID) REFERENCES Claims (Claim_ID)
)
3 rows from Settlements table:
Settlement_ID Claim_ID Effective_Date Settlement_Amount
161 717 2009-11-20 6451.65
176 641 1971-06-29 1588.45
205 604 1978-09-09 9814.39
|
insurance_fnol | 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 | CREATE TABLE Customers (
Customer_ID INTEGER NOT NULL,
Customer_name VARCHAR(40),
PRIMARY KEY (Customer_ID)
)
3 rows from Customers table:
Customer_ID Customer_name
194 America Jaskolski
214 Ellsworth Paucek
256 Mrs. Hanna Willms
CREATE TABLE Services (
Service_ID INTEGER NOT NULL,
Service_name VARCHAR(40),
PRIMARY KEY (Service_ID)
)
3 rows from Services table:
Service_ID Service_name
1 New policy application
4 Close a policy
6 Change a policy
CREATE TABLE Available_Policies (
Policy_ID INTEGER NOT NULL,
policy_type_code CHAR(15),
Customer_Phone VARCHAR(255),
PRIMARY KEY (Policy_ID),
UNIQUE (Policy_ID)
)
3 rows from Available_Policies table:
Policy_ID policy_type_code Customer_Phone
246 Life Insurance +16(2)5838999222
257 Property Insurance 242.763.9214
300 Property Insurance 1-416-503-7735x94204
CREATE TABLE Customers_Policies (
Customer_ID INTEGER NOT NULL,
Policy_ID INTEGER NOT NULL,
Date_Opened DATE,
Date_Closed DATE,
PRIMARY KEY (Customer_ID, Policy_ID),
FOREIGN KEY (Customer_ID) REFERENCES Customers (Customer_ID),
FOREIGN KEY (Policy_ID) REFERENCES Available_Policies (Policy_ID)
)
3 rows from Customers_Policies table:
Customer_ID Policy_ID Date_Opened Date_Closed
214 257 2016-11-19 2018-03-04
214 301 2016-04-12 2018-02-07
256 583 2016-07-22 2018-02-20
CREATE TABLE First_Notification_of_Loss (
FNOL_ID INTEGER NOT NULL,
Customer_ID INTEGER NOT NULL,
Policy_ID INTEGER NOT NULL,
Service_ID INTEGER NOT NULL,
PRIMARY KEY (FNOL_ID),
UNIQUE (FNOL_ID),
FOREIGN KEY (Service_ID) REFERENCES Services (Service_ID),
FOREIGN KEY (Customer_ID, Policy_ID) REFERENCES Customers_Policies (Customer_ID,Policy_ID)
)
3 rows from First_Notification_of_Loss table:
FNOL_ID Customer_ID Policy_ID Service_ID
532 214 257 6
1611 996 993 9
1722 996 879 6
CREATE TABLE Claims (
Claim_ID INTEGER NOT NULL,
FNOL_ID INTEGER NOT NULL,
Effective_Date DATE,
PRIMARY KEY (Claim_ID),
UNIQUE (Claim_ID),
FOREIGN KEY (FNOL_ID) REFERENCES First_Notification_of_Loss (FNOL_ID)
)
3 rows from Claims table:
Claim_ID FNOL_ID Effective_Date
134 1722 1973-08-18
145 1611 2014-10-19
228 532 1975-05-07
CREATE TABLE Settlements (
Settlement_ID INTEGER NOT NULL,
Claim_ID INTEGER,
Effective_Date DATE,
Settlement_Amount REAL,
PRIMARY KEY (Settlement_ID),
UNIQUE (Settlement_ID),
FOREIGN KEY (Claim_ID) REFERENCES Claims (Claim_ID)
)
3 rows from Settlements table:
Settlement_ID Claim_ID Effective_Date Settlement_Amount
161 717 2009-11-20 6451.65
176 641 1971-06-29 1588.45
205 604 1978-09-09 9814.39
|
insurance_fnol | 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" | CREATE TABLE Customers (
Customer_ID INTEGER NOT NULL,
Customer_name VARCHAR(40),
PRIMARY KEY (Customer_ID)
)
3 rows from Customers table:
Customer_ID Customer_name
194 America Jaskolski
214 Ellsworth Paucek
256 Mrs. Hanna Willms
CREATE TABLE Services (
Service_ID INTEGER NOT NULL,
Service_name VARCHAR(40),
PRIMARY KEY (Service_ID)
)
3 rows from Services table:
Service_ID Service_name
1 New policy application
4 Close a policy
6 Change a policy
CREATE TABLE Available_Policies (
Policy_ID INTEGER NOT NULL,
policy_type_code CHAR(15),
Customer_Phone VARCHAR(255),
PRIMARY KEY (Policy_ID),
UNIQUE (Policy_ID)
)
3 rows from Available_Policies table:
Policy_ID policy_type_code Customer_Phone
246 Life Insurance +16(2)5838999222
257 Property Insurance 242.763.9214
300 Property Insurance 1-416-503-7735x94204
CREATE TABLE Customers_Policies (
Customer_ID INTEGER NOT NULL,
Policy_ID INTEGER NOT NULL,
Date_Opened DATE,
Date_Closed DATE,
PRIMARY KEY (Customer_ID, Policy_ID),
FOREIGN KEY (Customer_ID) REFERENCES Customers (Customer_ID),
FOREIGN KEY (Policy_ID) REFERENCES Available_Policies (Policy_ID)
)
3 rows from Customers_Policies table:
Customer_ID Policy_ID Date_Opened Date_Closed
214 257 2016-11-19 2018-03-04
214 301 2016-04-12 2018-02-07
256 583 2016-07-22 2018-02-20
CREATE TABLE First_Notification_of_Loss (
FNOL_ID INTEGER NOT NULL,
Customer_ID INTEGER NOT NULL,
Policy_ID INTEGER NOT NULL,
Service_ID INTEGER NOT NULL,
PRIMARY KEY (FNOL_ID),
UNIQUE (FNOL_ID),
FOREIGN KEY (Service_ID) REFERENCES Services (Service_ID),
FOREIGN KEY (Customer_ID, Policy_ID) REFERENCES Customers_Policies (Customer_ID,Policy_ID)
)
3 rows from First_Notification_of_Loss table:
FNOL_ID Customer_ID Policy_ID Service_ID
532 214 257 6
1611 996 993 9
1722 996 879 6
CREATE TABLE Claims (
Claim_ID INTEGER NOT NULL,
FNOL_ID INTEGER NOT NULL,
Effective_Date DATE,
PRIMARY KEY (Claim_ID),
UNIQUE (Claim_ID),
FOREIGN KEY (FNOL_ID) REFERENCES First_Notification_of_Loss (FNOL_ID)
)
3 rows from Claims table:
Claim_ID FNOL_ID Effective_Date
134 1722 1973-08-18
145 1611 2014-10-19
228 532 1975-05-07
CREATE TABLE Settlements (
Settlement_ID INTEGER NOT NULL,
Claim_ID INTEGER,
Effective_Date DATE,
Settlement_Amount REAL,
PRIMARY KEY (Settlement_ID),
UNIQUE (Settlement_ID),
FOREIGN KEY (Claim_ID) REFERENCES Claims (Claim_ID)
)
3 rows from Settlements table:
Settlement_ID Claim_ID Effective_Date Settlement_Amount
161 717 2009-11-20 6451.65
176 641 1971-06-29 1588.45
205 604 1978-09-09 9814.39
|
insurance_fnol | 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" | CREATE TABLE Customers (
Customer_ID INTEGER NOT NULL,
Customer_name VARCHAR(40),
PRIMARY KEY (Customer_ID)
)
3 rows from Customers table:
Customer_ID Customer_name
194 America Jaskolski
214 Ellsworth Paucek
256 Mrs. Hanna Willms
CREATE TABLE Services (
Service_ID INTEGER NOT NULL,
Service_name VARCHAR(40),
PRIMARY KEY (Service_ID)
)
3 rows from Services table:
Service_ID Service_name
1 New policy application
4 Close a policy
6 Change a policy
CREATE TABLE Available_Policies (
Policy_ID INTEGER NOT NULL,
policy_type_code CHAR(15),
Customer_Phone VARCHAR(255),
PRIMARY KEY (Policy_ID),
UNIQUE (Policy_ID)
)
3 rows from Available_Policies table:
Policy_ID policy_type_code Customer_Phone
246 Life Insurance +16(2)5838999222
257 Property Insurance 242.763.9214
300 Property Insurance 1-416-503-7735x94204
CREATE TABLE Customers_Policies (
Customer_ID INTEGER NOT NULL,
Policy_ID INTEGER NOT NULL,
Date_Opened DATE,
Date_Closed DATE,
PRIMARY KEY (Customer_ID, Policy_ID),
FOREIGN KEY (Customer_ID) REFERENCES Customers (Customer_ID),
FOREIGN KEY (Policy_ID) REFERENCES Available_Policies (Policy_ID)
)
3 rows from Customers_Policies table:
Customer_ID Policy_ID Date_Opened Date_Closed
214 257 2016-11-19 2018-03-04
214 301 2016-04-12 2018-02-07
256 583 2016-07-22 2018-02-20
CREATE TABLE First_Notification_of_Loss (
FNOL_ID INTEGER NOT NULL,
Customer_ID INTEGER NOT NULL,
Policy_ID INTEGER NOT NULL,
Service_ID INTEGER NOT NULL,
PRIMARY KEY (FNOL_ID),
UNIQUE (FNOL_ID),
FOREIGN KEY (Service_ID) REFERENCES Services (Service_ID),
FOREIGN KEY (Customer_ID, Policy_ID) REFERENCES Customers_Policies (Customer_ID,Policy_ID)
)
3 rows from First_Notification_of_Loss table:
FNOL_ID Customer_ID Policy_ID Service_ID
532 214 257 6
1611 996 993 9
1722 996 879 6
CREATE TABLE Claims (
Claim_ID INTEGER NOT NULL,
FNOL_ID INTEGER NOT NULL,
Effective_Date DATE,
PRIMARY KEY (Claim_ID),
UNIQUE (Claim_ID),
FOREIGN KEY (FNOL_ID) REFERENCES First_Notification_of_Loss (FNOL_ID)
)
3 rows from Claims table:
Claim_ID FNOL_ID Effective_Date
134 1722 1973-08-18
145 1611 2014-10-19
228 532 1975-05-07
CREATE TABLE Settlements (
Settlement_ID INTEGER NOT NULL,
Claim_ID INTEGER,
Effective_Date DATE,
Settlement_Amount REAL,
PRIMARY KEY (Settlement_ID),
UNIQUE (Settlement_ID),
FOREIGN KEY (Claim_ID) REFERENCES Claims (Claim_ID)
)
3 rows from Settlements table:
Settlement_ID Claim_ID Effective_Date Settlement_Amount
161 717 2009-11-20 6451.65
176 641 1971-06-29 1588.45
205 604 1978-09-09 9814.39
|
insurance_fnol | 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" | CREATE TABLE Customers (
Customer_ID INTEGER NOT NULL,
Customer_name VARCHAR(40),
PRIMARY KEY (Customer_ID)
)
3 rows from Customers table:
Customer_ID Customer_name
194 America Jaskolski
214 Ellsworth Paucek
256 Mrs. Hanna Willms
CREATE TABLE Services (
Service_ID INTEGER NOT NULL,
Service_name VARCHAR(40),
PRIMARY KEY (Service_ID)
)
3 rows from Services table:
Service_ID Service_name
1 New policy application
4 Close a policy
6 Change a policy
CREATE TABLE Available_Policies (
Policy_ID INTEGER NOT NULL,
policy_type_code CHAR(15),
Customer_Phone VARCHAR(255),
PRIMARY KEY (Policy_ID),
UNIQUE (Policy_ID)
)
3 rows from Available_Policies table:
Policy_ID policy_type_code Customer_Phone
246 Life Insurance +16(2)5838999222
257 Property Insurance 242.763.9214
300 Property Insurance 1-416-503-7735x94204
CREATE TABLE Customers_Policies (
Customer_ID INTEGER NOT NULL,
Policy_ID INTEGER NOT NULL,
Date_Opened DATE,
Date_Closed DATE,
PRIMARY KEY (Customer_ID, Policy_ID),
FOREIGN KEY (Customer_ID) REFERENCES Customers (Customer_ID),
FOREIGN KEY (Policy_ID) REFERENCES Available_Policies (Policy_ID)
)
3 rows from Customers_Policies table:
Customer_ID Policy_ID Date_Opened Date_Closed
214 257 2016-11-19 2018-03-04
214 301 2016-04-12 2018-02-07
256 583 2016-07-22 2018-02-20
CREATE TABLE First_Notification_of_Loss (
FNOL_ID INTEGER NOT NULL,
Customer_ID INTEGER NOT NULL,
Policy_ID INTEGER NOT NULL,
Service_ID INTEGER NOT NULL,
PRIMARY KEY (FNOL_ID),
UNIQUE (FNOL_ID),
FOREIGN KEY (Service_ID) REFERENCES Services (Service_ID),
FOREIGN KEY (Customer_ID, Policy_ID) REFERENCES Customers_Policies (Customer_ID,Policy_ID)
)
3 rows from First_Notification_of_Loss table:
FNOL_ID Customer_ID Policy_ID Service_ID
532 214 257 6
1611 996 993 9
1722 996 879 6
CREATE TABLE Claims (
Claim_ID INTEGER NOT NULL,
FNOL_ID INTEGER NOT NULL,
Effective_Date DATE,
PRIMARY KEY (Claim_ID),
UNIQUE (Claim_ID),
FOREIGN KEY (FNOL_ID) REFERENCES First_Notification_of_Loss (FNOL_ID)
)
3 rows from Claims table:
Claim_ID FNOL_ID Effective_Date
134 1722 1973-08-18
145 1611 2014-10-19
228 532 1975-05-07
CREATE TABLE Settlements (
Settlement_ID INTEGER NOT NULL,
Claim_ID INTEGER,
Effective_Date DATE,
Settlement_Amount REAL,
PRIMARY KEY (Settlement_ID),
UNIQUE (Settlement_ID),
FOREIGN KEY (Claim_ID) REFERENCES Claims (Claim_ID)
)
3 rows from Settlements table:
Settlement_ID Claim_ID Effective_Date Settlement_Amount
161 717 2009-11-20 6451.65
176 641 1971-06-29 1588.45
205 604 1978-09-09 9814.39
|
insurance_fnol | 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" | CREATE TABLE Customers (
Customer_ID INTEGER NOT NULL,
Customer_name VARCHAR(40),
PRIMARY KEY (Customer_ID)
)
3 rows from Customers table:
Customer_ID Customer_name
194 America Jaskolski
214 Ellsworth Paucek
256 Mrs. Hanna Willms
CREATE TABLE Services (
Service_ID INTEGER NOT NULL,
Service_name VARCHAR(40),
PRIMARY KEY (Service_ID)
)
3 rows from Services table:
Service_ID Service_name
1 New policy application
4 Close a policy
6 Change a policy
CREATE TABLE Available_Policies (
Policy_ID INTEGER NOT NULL,
policy_type_code CHAR(15),
Customer_Phone VARCHAR(255),
PRIMARY KEY (Policy_ID),
UNIQUE (Policy_ID)
)
3 rows from Available_Policies table:
Policy_ID policy_type_code Customer_Phone
246 Life Insurance +16(2)5838999222
257 Property Insurance 242.763.9214
300 Property Insurance 1-416-503-7735x94204
CREATE TABLE Customers_Policies (
Customer_ID INTEGER NOT NULL,
Policy_ID INTEGER NOT NULL,
Date_Opened DATE,
Date_Closed DATE,
PRIMARY KEY (Customer_ID, Policy_ID),
FOREIGN KEY (Customer_ID) REFERENCES Customers (Customer_ID),
FOREIGN KEY (Policy_ID) REFERENCES Available_Policies (Policy_ID)
)
3 rows from Customers_Policies table:
Customer_ID Policy_ID Date_Opened Date_Closed
214 257 2016-11-19 2018-03-04
214 301 2016-04-12 2018-02-07
256 583 2016-07-22 2018-02-20
CREATE TABLE First_Notification_of_Loss (
FNOL_ID INTEGER NOT NULL,
Customer_ID INTEGER NOT NULL,
Policy_ID INTEGER NOT NULL,
Service_ID INTEGER NOT NULL,
PRIMARY KEY (FNOL_ID),
UNIQUE (FNOL_ID),
FOREIGN KEY (Service_ID) REFERENCES Services (Service_ID),
FOREIGN KEY (Customer_ID, Policy_ID) REFERENCES Customers_Policies (Customer_ID,Policy_ID)
)
3 rows from First_Notification_of_Loss table:
FNOL_ID Customer_ID Policy_ID Service_ID
532 214 257 6
1611 996 993 9
1722 996 879 6
CREATE TABLE Claims (
Claim_ID INTEGER NOT NULL,
FNOL_ID INTEGER NOT NULL,
Effective_Date DATE,
PRIMARY KEY (Claim_ID),
UNIQUE (Claim_ID),
FOREIGN KEY (FNOL_ID) REFERENCES First_Notification_of_Loss (FNOL_ID)
)
3 rows from Claims table:
Claim_ID FNOL_ID Effective_Date
134 1722 1973-08-18
145 1611 2014-10-19
228 532 1975-05-07
CREATE TABLE Settlements (
Settlement_ID INTEGER NOT NULL,
Claim_ID INTEGER,
Effective_Date DATE,
Settlement_Amount REAL,
PRIMARY KEY (Settlement_ID),
UNIQUE (Settlement_ID),
FOREIGN KEY (Claim_ID) REFERENCES Claims (Claim_ID)
)
3 rows from Settlements table:
Settlement_ID Claim_ID Effective_Date Settlement_Amount
161 717 2009-11-20 6451.65
176 641 1971-06-29 1588.45
205 604 1978-09-09 9814.39
|
insurance_fnol | Find the IDs of customers whose name contains "Diana". | SELECT customer_id FROM customers WHERE customer_name LIKE "%Diana%" | CREATE TABLE Customers (
Customer_ID INTEGER NOT NULL,
Customer_name VARCHAR(40),
PRIMARY KEY (Customer_ID)
)
3 rows from Customers table:
Customer_ID Customer_name
194 America Jaskolski
214 Ellsworth Paucek
256 Mrs. Hanna Willms
CREATE TABLE Services (
Service_ID INTEGER NOT NULL,
Service_name VARCHAR(40),
PRIMARY KEY (Service_ID)
)
3 rows from Services table:
Service_ID Service_name
1 New policy application
4 Close a policy
6 Change a policy
CREATE TABLE Available_Policies (
Policy_ID INTEGER NOT NULL,
policy_type_code CHAR(15),
Customer_Phone VARCHAR(255),
PRIMARY KEY (Policy_ID),
UNIQUE (Policy_ID)
)
3 rows from Available_Policies table:
Policy_ID policy_type_code Customer_Phone
246 Life Insurance +16(2)5838999222
257 Property Insurance 242.763.9214
300 Property Insurance 1-416-503-7735x94204
CREATE TABLE Customers_Policies (
Customer_ID INTEGER NOT NULL,
Policy_ID INTEGER NOT NULL,
Date_Opened DATE,
Date_Closed DATE,
PRIMARY KEY (Customer_ID, Policy_ID),
FOREIGN KEY (Customer_ID) REFERENCES Customers (Customer_ID),
FOREIGN KEY (Policy_ID) REFERENCES Available_Policies (Policy_ID)
)
3 rows from Customers_Policies table:
Customer_ID Policy_ID Date_Opened Date_Closed
214 257 2016-11-19 2018-03-04
214 301 2016-04-12 2018-02-07
256 583 2016-07-22 2018-02-20
CREATE TABLE First_Notification_of_Loss (
FNOL_ID INTEGER NOT NULL,
Customer_ID INTEGER NOT NULL,
Policy_ID INTEGER NOT NULL,
Service_ID INTEGER NOT NULL,
PRIMARY KEY (FNOL_ID),
UNIQUE (FNOL_ID),
FOREIGN KEY (Service_ID) REFERENCES Services (Service_ID),
FOREIGN KEY (Customer_ID, Policy_ID) REFERENCES Customers_Policies (Customer_ID,Policy_ID)
)
3 rows from First_Notification_of_Loss table:
FNOL_ID Customer_ID Policy_ID Service_ID
532 214 257 6
1611 996 993 9
1722 996 879 6
CREATE TABLE Claims (
Claim_ID INTEGER NOT NULL,
FNOL_ID INTEGER NOT NULL,
Effective_Date DATE,
PRIMARY KEY (Claim_ID),
UNIQUE (Claim_ID),
FOREIGN KEY (FNOL_ID) REFERENCES First_Notification_of_Loss (FNOL_ID)
)
3 rows from Claims table:
Claim_ID FNOL_ID Effective_Date
134 1722 1973-08-18
145 1611 2014-10-19
228 532 1975-05-07
CREATE TABLE Settlements (
Settlement_ID INTEGER NOT NULL,
Claim_ID INTEGER,
Effective_Date DATE,
Settlement_Amount REAL,
PRIMARY KEY (Settlement_ID),
UNIQUE (Settlement_ID),
FOREIGN KEY (Claim_ID) REFERENCES Claims (Claim_ID)
)
3 rows from Settlements table:
Settlement_ID Claim_ID Effective_Date Settlement_Amount
161 717 2009-11-20 6451.65
176 641 1971-06-29 1588.45
205 604 1978-09-09 9814.39
|
insurance_fnol | What are the IDs of customers who have "Diana" in part of their names? | SELECT customer_id FROM customers WHERE customer_name LIKE "%Diana%" | CREATE TABLE Customers (
Customer_ID INTEGER NOT NULL,
Customer_name VARCHAR(40),
PRIMARY KEY (Customer_ID)
)
3 rows from Customers table:
Customer_ID Customer_name
194 America Jaskolski
214 Ellsworth Paucek
256 Mrs. Hanna Willms
CREATE TABLE Services (
Service_ID INTEGER NOT NULL,
Service_name VARCHAR(40),
PRIMARY KEY (Service_ID)
)
3 rows from Services table:
Service_ID Service_name
1 New policy application
4 Close a policy
6 Change a policy
CREATE TABLE Available_Policies (
Policy_ID INTEGER NOT NULL,
policy_type_code CHAR(15),
Customer_Phone VARCHAR(255),
PRIMARY KEY (Policy_ID),
UNIQUE (Policy_ID)
)
3 rows from Available_Policies table:
Policy_ID policy_type_code Customer_Phone
246 Life Insurance +16(2)5838999222
257 Property Insurance 242.763.9214
300 Property Insurance 1-416-503-7735x94204
CREATE TABLE Customers_Policies (
Customer_ID INTEGER NOT NULL,
Policy_ID INTEGER NOT NULL,
Date_Opened DATE,
Date_Closed DATE,
PRIMARY KEY (Customer_ID, Policy_ID),
FOREIGN KEY (Customer_ID) REFERENCES Customers (Customer_ID),
FOREIGN KEY (Policy_ID) REFERENCES Available_Policies (Policy_ID)
)
3 rows from Customers_Policies table:
Customer_ID Policy_ID Date_Opened Date_Closed
214 257 2016-11-19 2018-03-04
214 301 2016-04-12 2018-02-07
256 583 2016-07-22 2018-02-20
CREATE TABLE First_Notification_of_Loss (
FNOL_ID INTEGER NOT NULL,
Customer_ID INTEGER NOT NULL,
Policy_ID INTEGER NOT NULL,
Service_ID INTEGER NOT NULL,
PRIMARY KEY (FNOL_ID),
UNIQUE (FNOL_ID),
FOREIGN KEY (Service_ID) REFERENCES Services (Service_ID),
FOREIGN KEY (Customer_ID, Policy_ID) REFERENCES Customers_Policies (Customer_ID,Policy_ID)
)
3 rows from First_Notification_of_Loss table:
FNOL_ID Customer_ID Policy_ID Service_ID
532 214 257 6
1611 996 993 9
1722 996 879 6
CREATE TABLE Claims (
Claim_ID INTEGER NOT NULL,
FNOL_ID INTEGER NOT NULL,
Effective_Date DATE,
PRIMARY KEY (Claim_ID),
UNIQUE (Claim_ID),
FOREIGN KEY (FNOL_ID) REFERENCES First_Notification_of_Loss (FNOL_ID)
)
3 rows from Claims table:
Claim_ID FNOL_ID Effective_Date
134 1722 1973-08-18
145 1611 2014-10-19
228 532 1975-05-07
CREATE TABLE Settlements (
Settlement_ID INTEGER NOT NULL,
Claim_ID INTEGER,
Effective_Date DATE,
Settlement_Amount REAL,
PRIMARY KEY (Settlement_ID),
UNIQUE (Settlement_ID),
FOREIGN KEY (Claim_ID) REFERENCES Claims (Claim_ID)
)
3 rows from Settlements table:
Settlement_ID Claim_ID Effective_Date Settlement_Amount
161 717 2009-11-20 6451.65
176 641 1971-06-29 1588.45
205 604 1978-09-09 9814.39
|
insurance_fnol | What are the maximum and minimum settlement amount on record? | SELECT max(settlement_amount) , min(settlement_amount) FROM settlements | CREATE TABLE Customers (
Customer_ID INTEGER NOT NULL,
Customer_name VARCHAR(40),
PRIMARY KEY (Customer_ID)
)
3 rows from Customers table:
Customer_ID Customer_name
194 America Jaskolski
214 Ellsworth Paucek
256 Mrs. Hanna Willms
CREATE TABLE Services (
Service_ID INTEGER NOT NULL,
Service_name VARCHAR(40),
PRIMARY KEY (Service_ID)
)
3 rows from Services table:
Service_ID Service_name
1 New policy application
4 Close a policy
6 Change a policy
CREATE TABLE Available_Policies (
Policy_ID INTEGER NOT NULL,
policy_type_code CHAR(15),
Customer_Phone VARCHAR(255),
PRIMARY KEY (Policy_ID),
UNIQUE (Policy_ID)
)
3 rows from Available_Policies table:
Policy_ID policy_type_code Customer_Phone
246 Life Insurance +16(2)5838999222
257 Property Insurance 242.763.9214
300 Property Insurance 1-416-503-7735x94204
CREATE TABLE Customers_Policies (
Customer_ID INTEGER NOT NULL,
Policy_ID INTEGER NOT NULL,
Date_Opened DATE,
Date_Closed DATE,
PRIMARY KEY (Customer_ID, Policy_ID),
FOREIGN KEY (Customer_ID) REFERENCES Customers (Customer_ID),
FOREIGN KEY (Policy_ID) REFERENCES Available_Policies (Policy_ID)
)
3 rows from Customers_Policies table:
Customer_ID Policy_ID Date_Opened Date_Closed
214 257 2016-11-19 2018-03-04
214 301 2016-04-12 2018-02-07
256 583 2016-07-22 2018-02-20
CREATE TABLE First_Notification_of_Loss (
FNOL_ID INTEGER NOT NULL,
Customer_ID INTEGER NOT NULL,
Policy_ID INTEGER NOT NULL,
Service_ID INTEGER NOT NULL,
PRIMARY KEY (FNOL_ID),
UNIQUE (FNOL_ID),
FOREIGN KEY (Service_ID) REFERENCES Services (Service_ID),
FOREIGN KEY (Customer_ID, Policy_ID) REFERENCES Customers_Policies (Customer_ID,Policy_ID)
)
3 rows from First_Notification_of_Loss table:
FNOL_ID Customer_ID Policy_ID Service_ID
532 214 257 6
1611 996 993 9
1722 996 879 6
CREATE TABLE Claims (
Claim_ID INTEGER NOT NULL,
FNOL_ID INTEGER NOT NULL,
Effective_Date DATE,
PRIMARY KEY (Claim_ID),
UNIQUE (Claim_ID),
FOREIGN KEY (FNOL_ID) REFERENCES First_Notification_of_Loss (FNOL_ID)
)
3 rows from Claims table:
Claim_ID FNOL_ID Effective_Date
134 1722 1973-08-18
145 1611 2014-10-19
228 532 1975-05-07
CREATE TABLE Settlements (
Settlement_ID INTEGER NOT NULL,
Claim_ID INTEGER,
Effective_Date DATE,
Settlement_Amount REAL,
PRIMARY KEY (Settlement_ID),
UNIQUE (Settlement_ID),
FOREIGN KEY (Claim_ID) REFERENCES Claims (Claim_ID)
)
3 rows from Settlements table:
Settlement_ID Claim_ID Effective_Date Settlement_Amount
161 717 2009-11-20 6451.65
176 641 1971-06-29 1588.45
205 604 1978-09-09 9814.39
|
insurance_fnol | Find the maximum and minimum settlement amount. | SELECT max(settlement_amount) , min(settlement_amount) FROM settlements | CREATE TABLE Customers (
Customer_ID INTEGER NOT NULL,
Customer_name VARCHAR(40),
PRIMARY KEY (Customer_ID)
)
3 rows from Customers table:
Customer_ID Customer_name
194 America Jaskolski
214 Ellsworth Paucek
256 Mrs. Hanna Willms
CREATE TABLE Services (
Service_ID INTEGER NOT NULL,
Service_name VARCHAR(40),
PRIMARY KEY (Service_ID)
)
3 rows from Services table:
Service_ID Service_name
1 New policy application
4 Close a policy
6 Change a policy
CREATE TABLE Available_Policies (
Policy_ID INTEGER NOT NULL,
policy_type_code CHAR(15),
Customer_Phone VARCHAR(255),
PRIMARY KEY (Policy_ID),
UNIQUE (Policy_ID)
)
3 rows from Available_Policies table:
Policy_ID policy_type_code Customer_Phone
246 Life Insurance +16(2)5838999222
257 Property Insurance 242.763.9214
300 Property Insurance 1-416-503-7735x94204
CREATE TABLE Customers_Policies (
Customer_ID INTEGER NOT NULL,
Policy_ID INTEGER NOT NULL,
Date_Opened DATE,
Date_Closed DATE,
PRIMARY KEY (Customer_ID, Policy_ID),
FOREIGN KEY (Customer_ID) REFERENCES Customers (Customer_ID),
FOREIGN KEY (Policy_ID) REFERENCES Available_Policies (Policy_ID)
)
3 rows from Customers_Policies table:
Customer_ID Policy_ID Date_Opened Date_Closed
214 257 2016-11-19 2018-03-04
214 301 2016-04-12 2018-02-07
256 583 2016-07-22 2018-02-20
CREATE TABLE First_Notification_of_Loss (
FNOL_ID INTEGER NOT NULL,
Customer_ID INTEGER NOT NULL,
Policy_ID INTEGER NOT NULL,
Service_ID INTEGER NOT NULL,
PRIMARY KEY (FNOL_ID),
UNIQUE (FNOL_ID),
FOREIGN KEY (Service_ID) REFERENCES Services (Service_ID),
FOREIGN KEY (Customer_ID, Policy_ID) REFERENCES Customers_Policies (Customer_ID,Policy_ID)
)
3 rows from First_Notification_of_Loss table:
FNOL_ID Customer_ID Policy_ID Service_ID
532 214 257 6
1611 996 993 9
1722 996 879 6
CREATE TABLE Claims (
Claim_ID INTEGER NOT NULL,
FNOL_ID INTEGER NOT NULL,
Effective_Date DATE,
PRIMARY KEY (Claim_ID),
UNIQUE (Claim_ID),
FOREIGN KEY (FNOL_ID) REFERENCES First_Notification_of_Loss (FNOL_ID)
)
3 rows from Claims table:
Claim_ID FNOL_ID Effective_Date
134 1722 1973-08-18
145 1611 2014-10-19
228 532 1975-05-07
CREATE TABLE Settlements (
Settlement_ID INTEGER NOT NULL,
Claim_ID INTEGER,
Effective_Date DATE,
Settlement_Amount REAL,
PRIMARY KEY (Settlement_ID),
UNIQUE (Settlement_ID),
FOREIGN KEY (Claim_ID) REFERENCES Claims (Claim_ID)
)
3 rows from Settlements table:
Settlement_ID Claim_ID Effective_Date Settlement_Amount
161 717 2009-11-20 6451.65
176 641 1971-06-29 1588.45
205 604 1978-09-09 9814.39
|
insurance_fnol | List all the customers in increasing order of IDs. | SELECT customer_id , customer_name FROM customers ORDER BY customer_id ASC | CREATE TABLE Customers (
Customer_ID INTEGER NOT NULL,
Customer_name VARCHAR(40),
PRIMARY KEY (Customer_ID)
)
3 rows from Customers table:
Customer_ID Customer_name
194 America Jaskolski
214 Ellsworth Paucek
256 Mrs. Hanna Willms
CREATE TABLE Services (
Service_ID INTEGER NOT NULL,
Service_name VARCHAR(40),
PRIMARY KEY (Service_ID)
)
3 rows from Services table:
Service_ID Service_name
1 New policy application
4 Close a policy
6 Change a policy
CREATE TABLE Available_Policies (
Policy_ID INTEGER NOT NULL,
policy_type_code CHAR(15),
Customer_Phone VARCHAR(255),
PRIMARY KEY (Policy_ID),
UNIQUE (Policy_ID)
)
3 rows from Available_Policies table:
Policy_ID policy_type_code Customer_Phone
246 Life Insurance +16(2)5838999222
257 Property Insurance 242.763.9214
300 Property Insurance 1-416-503-7735x94204
CREATE TABLE Customers_Policies (
Customer_ID INTEGER NOT NULL,
Policy_ID INTEGER NOT NULL,
Date_Opened DATE,
Date_Closed DATE,
PRIMARY KEY (Customer_ID, Policy_ID),
FOREIGN KEY (Customer_ID) REFERENCES Customers (Customer_ID),
FOREIGN KEY (Policy_ID) REFERENCES Available_Policies (Policy_ID)
)
3 rows from Customers_Policies table:
Customer_ID Policy_ID Date_Opened Date_Closed
214 257 2016-11-19 2018-03-04
214 301 2016-04-12 2018-02-07
256 583 2016-07-22 2018-02-20
CREATE TABLE First_Notification_of_Loss (
FNOL_ID INTEGER NOT NULL,
Customer_ID INTEGER NOT NULL,
Policy_ID INTEGER NOT NULL,
Service_ID INTEGER NOT NULL,
PRIMARY KEY (FNOL_ID),
UNIQUE (FNOL_ID),
FOREIGN KEY (Service_ID) REFERENCES Services (Service_ID),
FOREIGN KEY (Customer_ID, Policy_ID) REFERENCES Customers_Policies (Customer_ID,Policy_ID)
)
3 rows from First_Notification_of_Loss table:
FNOL_ID Customer_ID Policy_ID Service_ID
532 214 257 6
1611 996 993 9
1722 996 879 6
CREATE TABLE Claims (
Claim_ID INTEGER NOT NULL,
FNOL_ID INTEGER NOT NULL,
Effective_Date DATE,
PRIMARY KEY (Claim_ID),
UNIQUE (Claim_ID),
FOREIGN KEY (FNOL_ID) REFERENCES First_Notification_of_Loss (FNOL_ID)
)
3 rows from Claims table:
Claim_ID FNOL_ID Effective_Date
134 1722 1973-08-18
145 1611 2014-10-19
228 532 1975-05-07
CREATE TABLE Settlements (
Settlement_ID INTEGER NOT NULL,
Claim_ID INTEGER,
Effective_Date DATE,
Settlement_Amount REAL,
PRIMARY KEY (Settlement_ID),
UNIQUE (Settlement_ID),
FOREIGN KEY (Claim_ID) REFERENCES Claims (Claim_ID)
)
3 rows from Settlements table:
Settlement_ID Claim_ID Effective_Date Settlement_Amount
161 717 2009-11-20 6451.65
176 641 1971-06-29 1588.45
205 604 1978-09-09 9814.39
|
insurance_fnol | What is the ordered list of customer ids? | SELECT customer_id , customer_name FROM customers ORDER BY customer_id ASC | CREATE TABLE Customers (
Customer_ID INTEGER NOT NULL,
Customer_name VARCHAR(40),
PRIMARY KEY (Customer_ID)
)
3 rows from Customers table:
Customer_ID Customer_name
194 America Jaskolski
214 Ellsworth Paucek
256 Mrs. Hanna Willms
CREATE TABLE Services (
Service_ID INTEGER NOT NULL,
Service_name VARCHAR(40),
PRIMARY KEY (Service_ID)
)
3 rows from Services table:
Service_ID Service_name
1 New policy application
4 Close a policy
6 Change a policy
CREATE TABLE Available_Policies (
Policy_ID INTEGER NOT NULL,
policy_type_code CHAR(15),
Customer_Phone VARCHAR(255),
PRIMARY KEY (Policy_ID),
UNIQUE (Policy_ID)
)
3 rows from Available_Policies table:
Policy_ID policy_type_code Customer_Phone
246 Life Insurance +16(2)5838999222
257 Property Insurance 242.763.9214
300 Property Insurance 1-416-503-7735x94204
CREATE TABLE Customers_Policies (
Customer_ID INTEGER NOT NULL,
Policy_ID INTEGER NOT NULL,
Date_Opened DATE,
Date_Closed DATE,
PRIMARY KEY (Customer_ID, Policy_ID),
FOREIGN KEY (Customer_ID) REFERENCES Customers (Customer_ID),
FOREIGN KEY (Policy_ID) REFERENCES Available_Policies (Policy_ID)
)
3 rows from Customers_Policies table:
Customer_ID Policy_ID Date_Opened Date_Closed
214 257 2016-11-19 2018-03-04
214 301 2016-04-12 2018-02-07
256 583 2016-07-22 2018-02-20
CREATE TABLE First_Notification_of_Loss (
FNOL_ID INTEGER NOT NULL,
Customer_ID INTEGER NOT NULL,
Policy_ID INTEGER NOT NULL,
Service_ID INTEGER NOT NULL,
PRIMARY KEY (FNOL_ID),
UNIQUE (FNOL_ID),
FOREIGN KEY (Service_ID) REFERENCES Services (Service_ID),
FOREIGN KEY (Customer_ID, Policy_ID) REFERENCES Customers_Policies (Customer_ID,Policy_ID)
)
3 rows from First_Notification_of_Loss table:
FNOL_ID Customer_ID Policy_ID Service_ID
532 214 257 6
1611 996 993 9
1722 996 879 6
CREATE TABLE Claims (
Claim_ID INTEGER NOT NULL,
FNOL_ID INTEGER NOT NULL,
Effective_Date DATE,
PRIMARY KEY (Claim_ID),
UNIQUE (Claim_ID),
FOREIGN KEY (FNOL_ID) REFERENCES First_Notification_of_Loss (FNOL_ID)
)
3 rows from Claims table:
Claim_ID FNOL_ID Effective_Date
134 1722 1973-08-18
145 1611 2014-10-19
228 532 1975-05-07
CREATE TABLE Settlements (
Settlement_ID INTEGER NOT NULL,
Claim_ID INTEGER,
Effective_Date DATE,
Settlement_Amount REAL,
PRIMARY KEY (Settlement_ID),
UNIQUE (Settlement_ID),
FOREIGN KEY (Claim_ID) REFERENCES Claims (Claim_ID)
)
3 rows from Settlements table:
Settlement_ID Claim_ID Effective_Date Settlement_Amount
161 717 2009-11-20 6451.65
176 641 1971-06-29 1588.45
205 604 1978-09-09 9814.39
|
insurance_fnol | 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%" | CREATE TABLE Customers (
Customer_ID INTEGER NOT NULL,
Customer_name VARCHAR(40),
PRIMARY KEY (Customer_ID)
)
3 rows from Customers table:
Customer_ID Customer_name
194 America Jaskolski
214 Ellsworth Paucek
256 Mrs. Hanna Willms
CREATE TABLE Services (
Service_ID INTEGER NOT NULL,
Service_name VARCHAR(40),
PRIMARY KEY (Service_ID)
)
3 rows from Services table:
Service_ID Service_name
1 New policy application
4 Close a policy
6 Change a policy
CREATE TABLE Available_Policies (
Policy_ID INTEGER NOT NULL,
policy_type_code CHAR(15),
Customer_Phone VARCHAR(255),
PRIMARY KEY (Policy_ID),
UNIQUE (Policy_ID)
)
3 rows from Available_Policies table:
Policy_ID policy_type_code Customer_Phone
246 Life Insurance +16(2)5838999222
257 Property Insurance 242.763.9214
300 Property Insurance 1-416-503-7735x94204
CREATE TABLE Customers_Policies (
Customer_ID INTEGER NOT NULL,
Policy_ID INTEGER NOT NULL,
Date_Opened DATE,
Date_Closed DATE,
PRIMARY KEY (Customer_ID, Policy_ID),
FOREIGN KEY (Customer_ID) REFERENCES Customers (Customer_ID),
FOREIGN KEY (Policy_ID) REFERENCES Available_Policies (Policy_ID)
)
3 rows from Customers_Policies table:
Customer_ID Policy_ID Date_Opened Date_Closed
214 257 2016-11-19 2018-03-04
214 301 2016-04-12 2018-02-07
256 583 2016-07-22 2018-02-20
CREATE TABLE First_Notification_of_Loss (
FNOL_ID INTEGER NOT NULL,
Customer_ID INTEGER NOT NULL,
Policy_ID INTEGER NOT NULL,
Service_ID INTEGER NOT NULL,
PRIMARY KEY (FNOL_ID),
UNIQUE (FNOL_ID),
FOREIGN KEY (Service_ID) REFERENCES Services (Service_ID),
FOREIGN KEY (Customer_ID, Policy_ID) REFERENCES Customers_Policies (Customer_ID,Policy_ID)
)
3 rows from First_Notification_of_Loss table:
FNOL_ID Customer_ID Policy_ID Service_ID
532 214 257 6
1611 996 993 9
1722 996 879 6
CREATE TABLE Claims (
Claim_ID INTEGER NOT NULL,
FNOL_ID INTEGER NOT NULL,
Effective_Date DATE,
PRIMARY KEY (Claim_ID),
UNIQUE (Claim_ID),
FOREIGN KEY (FNOL_ID) REFERENCES First_Notification_of_Loss (FNOL_ID)
)
3 rows from Claims table:
Claim_ID FNOL_ID Effective_Date
134 1722 1973-08-18
145 1611 2014-10-19
228 532 1975-05-07
CREATE TABLE Settlements (
Settlement_ID INTEGER NOT NULL,
Claim_ID INTEGER,
Effective_Date DATE,
Settlement_Amount REAL,
PRIMARY KEY (Settlement_ID),
UNIQUE (Settlement_ID),
FOREIGN KEY (Claim_ID) REFERENCES Claims (Claim_ID)
)
3 rows from Settlements table:
Settlement_ID Claim_ID Effective_Date Settlement_Amount
161 717 2009-11-20 6451.65
176 641 1971-06-29 1588.45
205 604 1978-09-09 9814.39
|
insurance_fnol | 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%" | CREATE TABLE Customers (
Customer_ID INTEGER NOT NULL,
Customer_name VARCHAR(40),
PRIMARY KEY (Customer_ID)
)
3 rows from Customers table:
Customer_ID Customer_name
194 America Jaskolski
214 Ellsworth Paucek
256 Mrs. Hanna Willms
CREATE TABLE Services (
Service_ID INTEGER NOT NULL,
Service_name VARCHAR(40),
PRIMARY KEY (Service_ID)
)
3 rows from Services table:
Service_ID Service_name
1 New policy application
4 Close a policy
6 Change a policy
CREATE TABLE Available_Policies (
Policy_ID INTEGER NOT NULL,
policy_type_code CHAR(15),
Customer_Phone VARCHAR(255),
PRIMARY KEY (Policy_ID),
UNIQUE (Policy_ID)
)
3 rows from Available_Policies table:
Policy_ID policy_type_code Customer_Phone
246 Life Insurance +16(2)5838999222
257 Property Insurance 242.763.9214
300 Property Insurance 1-416-503-7735x94204
CREATE TABLE Customers_Policies (
Customer_ID INTEGER NOT NULL,
Policy_ID INTEGER NOT NULL,
Date_Opened DATE,
Date_Closed DATE,
PRIMARY KEY (Customer_ID, Policy_ID),
FOREIGN KEY (Customer_ID) REFERENCES Customers (Customer_ID),
FOREIGN KEY (Policy_ID) REFERENCES Available_Policies (Policy_ID)
)
3 rows from Customers_Policies table:
Customer_ID Policy_ID Date_Opened Date_Closed
214 257 2016-11-19 2018-03-04
214 301 2016-04-12 2018-02-07
256 583 2016-07-22 2018-02-20
CREATE TABLE First_Notification_of_Loss (
FNOL_ID INTEGER NOT NULL,
Customer_ID INTEGER NOT NULL,
Policy_ID INTEGER NOT NULL,
Service_ID INTEGER NOT NULL,
PRIMARY KEY (FNOL_ID),
UNIQUE (FNOL_ID),
FOREIGN KEY (Service_ID) REFERENCES Services (Service_ID),
FOREIGN KEY (Customer_ID, Policy_ID) REFERENCES Customers_Policies (Customer_ID,Policy_ID)
)
3 rows from First_Notification_of_Loss table:
FNOL_ID Customer_ID Policy_ID Service_ID
532 214 257 6
1611 996 993 9
1722 996 879 6
CREATE TABLE Claims (
Claim_ID INTEGER NOT NULL,
FNOL_ID INTEGER NOT NULL,
Effective_Date DATE,
PRIMARY KEY (Claim_ID),
UNIQUE (Claim_ID),
FOREIGN KEY (FNOL_ID) REFERENCES First_Notification_of_Loss (FNOL_ID)
)
3 rows from Claims table:
Claim_ID FNOL_ID Effective_Date
134 1722 1973-08-18
145 1611 2014-10-19
228 532 1975-05-07
CREATE TABLE Settlements (
Settlement_ID INTEGER NOT NULL,
Claim_ID INTEGER,
Effective_Date DATE,
Settlement_Amount REAL,
PRIMARY KEY (Settlement_ID),
UNIQUE (Settlement_ID),
FOREIGN KEY (Claim_ID) REFERENCES Claims (Claim_ID)
)
3 rows from Settlements table:
Settlement_ID Claim_ID Effective_Date Settlement_Amount
161 717 2009-11-20 6451.65
176 641 1971-06-29 1588.45
205 604 1978-09-09 9814.39
|
medicine_enzyme_interaction | How many kinds of enzymes are there? | SELECT count(*) FROM enzyme | CREATE TABLE "medicine" (
"id" int,
"name" text,
"Trade_Name" text,
"FDA_approved" text,
primary key ("id")
)
3 rows from medicine table:
id name Trade_Name FDA_approved
1 Amisulpride Solian No
2 Aripiprazole Abilify Yes
3 Asenapine Saphris Yes
CREATE TABLE "enzyme" (
"id" int,
"name" text,
"Location" text,
"Product" text,
"Chromosome" text,
"OMIM" int,
"Porphyria" text,
primary key ("id")
)
3 rows from enzyme table:
id name Location Product Chromosome OMIM Porphyria
1 ALA synthase Mitochondrion Ξ΄-Aminolevulinic acid 3p21.1 125290 none
2 ALA dehydratase Cytosol Porphobilinogen 9q34 125270 ALA-Dehydratase deficiency
3 PBG deaminase Cytosol Hydroxymethyl bilane 11q23.3 176000 acute intermittent porphyria
CREATE TABLE "medicine_enzyme_interaction" (
"enzyme_id" int,
"medicine_id" int,
"interaction_type" text,
primary key ("enzyme_id", "medicine_id"),
foreign key ("enzyme_id") references `enzyme`("id"),
foreign key ("medicine_id") references `medicine`("id")
)
3 rows from medicine_enzyme_interaction table:
enzyme_id medicine_id interaction_type
1 1 inhibitor
1 2 inhibitor
1 3 inhibitor
|
medicine_enzyme_interaction | What is the total count of enzymes? | SELECT count(*) FROM enzyme | CREATE TABLE "medicine" (
"id" int,
"name" text,
"Trade_Name" text,
"FDA_approved" text,
primary key ("id")
)
3 rows from medicine table:
id name Trade_Name FDA_approved
1 Amisulpride Solian No
2 Aripiprazole Abilify Yes
3 Asenapine Saphris Yes
CREATE TABLE "enzyme" (
"id" int,
"name" text,
"Location" text,
"Product" text,
"Chromosome" text,
"OMIM" int,
"Porphyria" text,
primary key ("id")
)
3 rows from enzyme table:
id name Location Product Chromosome OMIM Porphyria
1 ALA synthase Mitochondrion Ξ΄-Aminolevulinic acid 3p21.1 125290 none
2 ALA dehydratase Cytosol Porphobilinogen 9q34 125270 ALA-Dehydratase deficiency
3 PBG deaminase Cytosol Hydroxymethyl bilane 11q23.3 176000 acute intermittent porphyria
CREATE TABLE "medicine_enzyme_interaction" (
"enzyme_id" int,
"medicine_id" int,
"interaction_type" text,
primary key ("enzyme_id", "medicine_id"),
foreign key ("enzyme_id") references `enzyme`("id"),
foreign key ("medicine_id") references `medicine`("id")
)
3 rows from medicine_enzyme_interaction table:
enzyme_id medicine_id interaction_type
1 1 inhibitor
1 2 inhibitor
1 3 inhibitor
|
medicine_enzyme_interaction | List the name of enzymes in descending lexicographical order. | SELECT name FROM enzyme ORDER BY name DESC | CREATE TABLE "medicine" (
"id" int,
"name" text,
"Trade_Name" text,
"FDA_approved" text,
primary key ("id")
)
3 rows from medicine table:
id name Trade_Name FDA_approved
1 Amisulpride Solian No
2 Aripiprazole Abilify Yes
3 Asenapine Saphris Yes
CREATE TABLE "enzyme" (
"id" int,
"name" text,
"Location" text,
"Product" text,
"Chromosome" text,
"OMIM" int,
"Porphyria" text,
primary key ("id")
)
3 rows from enzyme table:
id name Location Product Chromosome OMIM Porphyria
1 ALA synthase Mitochondrion Ξ΄-Aminolevulinic acid 3p21.1 125290 none
2 ALA dehydratase Cytosol Porphobilinogen 9q34 125270 ALA-Dehydratase deficiency
3 PBG deaminase Cytosol Hydroxymethyl bilane 11q23.3 176000 acute intermittent porphyria
CREATE TABLE "medicine_enzyme_interaction" (
"enzyme_id" int,
"medicine_id" int,
"interaction_type" text,
primary key ("enzyme_id", "medicine_id"),
foreign key ("enzyme_id") references `enzyme`("id"),
foreign key ("medicine_id") references `medicine`("id")
)
3 rows from medicine_enzyme_interaction table:
enzyme_id medicine_id interaction_type
1 1 inhibitor
1 2 inhibitor
1 3 inhibitor
|
medicine_enzyme_interaction | What are the names of enzymes in descending order? | SELECT name FROM enzyme ORDER BY name DESC | CREATE TABLE "medicine" (
"id" int,
"name" text,
"Trade_Name" text,
"FDA_approved" text,
primary key ("id")
)
3 rows from medicine table:
id name Trade_Name FDA_approved
1 Amisulpride Solian No
2 Aripiprazole Abilify Yes
3 Asenapine Saphris Yes
CREATE TABLE "enzyme" (
"id" int,
"name" text,
"Location" text,
"Product" text,
"Chromosome" text,
"OMIM" int,
"Porphyria" text,
primary key ("id")
)
3 rows from enzyme table:
id name Location Product Chromosome OMIM Porphyria
1 ALA synthase Mitochondrion Ξ΄-Aminolevulinic acid 3p21.1 125290 none
2 ALA dehydratase Cytosol Porphobilinogen 9q34 125270 ALA-Dehydratase deficiency
3 PBG deaminase Cytosol Hydroxymethyl bilane 11q23.3 176000 acute intermittent porphyria
CREATE TABLE "medicine_enzyme_interaction" (
"enzyme_id" int,
"medicine_id" int,
"interaction_type" text,
primary key ("enzyme_id", "medicine_id"),
foreign key ("enzyme_id") references `enzyme`("id"),
foreign key ("medicine_id") references `medicine`("id")
)
3 rows from medicine_enzyme_interaction table:
enzyme_id medicine_id interaction_type
1 1 inhibitor
1 2 inhibitor
1 3 inhibitor
|
medicine_enzyme_interaction | List the names and the locations that the enzymes can make an effect. | SELECT name , LOCATION FROM enzyme | CREATE TABLE "medicine" (
"id" int,
"name" text,
"Trade_Name" text,
"FDA_approved" text,
primary key ("id")
)
3 rows from medicine table:
id name Trade_Name FDA_approved
1 Amisulpride Solian No
2 Aripiprazole Abilify Yes
3 Asenapine Saphris Yes
CREATE TABLE "enzyme" (
"id" int,
"name" text,
"Location" text,
"Product" text,
"Chromosome" text,
"OMIM" int,
"Porphyria" text,
primary key ("id")
)
3 rows from enzyme table:
id name Location Product Chromosome OMIM Porphyria
1 ALA synthase Mitochondrion Ξ΄-Aminolevulinic acid 3p21.1 125290 none
2 ALA dehydratase Cytosol Porphobilinogen 9q34 125270 ALA-Dehydratase deficiency
3 PBG deaminase Cytosol Hydroxymethyl bilane 11q23.3 176000 acute intermittent porphyria
CREATE TABLE "medicine_enzyme_interaction" (
"enzyme_id" int,
"medicine_id" int,
"interaction_type" text,
primary key ("enzyme_id", "medicine_id"),
foreign key ("enzyme_id") references `enzyme`("id"),
foreign key ("medicine_id") references `medicine`("id")
)
3 rows from medicine_enzyme_interaction table:
enzyme_id medicine_id interaction_type
1 1 inhibitor
1 2 inhibitor
1 3 inhibitor
|
medicine_enzyme_interaction | What are the names and locations of all enzymes listed? | SELECT name , LOCATION FROM enzyme | CREATE TABLE "medicine" (
"id" int,
"name" text,
"Trade_Name" text,
"FDA_approved" text,
primary key ("id")
)
3 rows from medicine table:
id name Trade_Name FDA_approved
1 Amisulpride Solian No
2 Aripiprazole Abilify Yes
3 Asenapine Saphris Yes
CREATE TABLE "enzyme" (
"id" int,
"name" text,
"Location" text,
"Product" text,
"Chromosome" text,
"OMIM" int,
"Porphyria" text,
primary key ("id")
)
3 rows from enzyme table:
id name Location Product Chromosome OMIM Porphyria
1 ALA synthase Mitochondrion Ξ΄-Aminolevulinic acid 3p21.1 125290 none
2 ALA dehydratase Cytosol Porphobilinogen 9q34 125270 ALA-Dehydratase deficiency
3 PBG deaminase Cytosol Hydroxymethyl bilane 11q23.3 176000 acute intermittent porphyria
CREATE TABLE "medicine_enzyme_interaction" (
"enzyme_id" int,
"medicine_id" int,
"interaction_type" text,
primary key ("enzyme_id", "medicine_id"),
foreign key ("enzyme_id") references `enzyme`("id"),
foreign key ("medicine_id") references `medicine`("id")
)
3 rows from medicine_enzyme_interaction table:
enzyme_id medicine_id interaction_type
1 1 inhibitor
1 2 inhibitor
1 3 inhibitor
|
medicine_enzyme_interaction | What is the maximum Online Mendelian Inheritance in Man (OMIM) value of the enzymes? | SELECT max(OMIM) FROM enzyme | CREATE TABLE "medicine" (
"id" int,
"name" text,
"Trade_Name" text,
"FDA_approved" text,
primary key ("id")
)
3 rows from medicine table:
id name Trade_Name FDA_approved
1 Amisulpride Solian No
2 Aripiprazole Abilify Yes
3 Asenapine Saphris Yes
CREATE TABLE "enzyme" (
"id" int,
"name" text,
"Location" text,
"Product" text,
"Chromosome" text,
"OMIM" int,
"Porphyria" text,
primary key ("id")
)
3 rows from enzyme table:
id name Location Product Chromosome OMIM Porphyria
1 ALA synthase Mitochondrion Ξ΄-Aminolevulinic acid 3p21.1 125290 none
2 ALA dehydratase Cytosol Porphobilinogen 9q34 125270 ALA-Dehydratase deficiency
3 PBG deaminase Cytosol Hydroxymethyl bilane 11q23.3 176000 acute intermittent porphyria
CREATE TABLE "medicine_enzyme_interaction" (
"enzyme_id" int,
"medicine_id" int,
"interaction_type" text,
primary key ("enzyme_id", "medicine_id"),
foreign key ("enzyme_id") references `enzyme`("id"),
foreign key ("medicine_id") references `medicine`("id")
)
3 rows from medicine_enzyme_interaction table:
enzyme_id medicine_id interaction_type
1 1 inhibitor
1 2 inhibitor
1 3 inhibitor
|
medicine_enzyme_interaction | What is the maximum OMIM value in the database? | SELECT max(OMIM) FROM enzyme | CREATE TABLE "medicine" (
"id" int,
"name" text,
"Trade_Name" text,
"FDA_approved" text,
primary key ("id")
)
3 rows from medicine table:
id name Trade_Name FDA_approved
1 Amisulpride Solian No
2 Aripiprazole Abilify Yes
3 Asenapine Saphris Yes
CREATE TABLE "enzyme" (
"id" int,
"name" text,
"Location" text,
"Product" text,
"Chromosome" text,
"OMIM" int,
"Porphyria" text,
primary key ("id")
)
3 rows from enzyme table:
id name Location Product Chromosome OMIM Porphyria
1 ALA synthase Mitochondrion Ξ΄-Aminolevulinic acid 3p21.1 125290 none
2 ALA dehydratase Cytosol Porphobilinogen 9q34 125270 ALA-Dehydratase deficiency
3 PBG deaminase Cytosol Hydroxymethyl bilane 11q23.3 176000 acute intermittent porphyria
CREATE TABLE "medicine_enzyme_interaction" (
"enzyme_id" int,
"medicine_id" int,
"interaction_type" text,
primary key ("enzyme_id", "medicine_id"),
foreign key ("enzyme_id") references `enzyme`("id"),
foreign key ("medicine_id") references `medicine`("id")
)
3 rows from medicine_enzyme_interaction table:
enzyme_id medicine_id interaction_type
1 1 inhibitor
1 2 inhibitor
1 3 inhibitor
|
medicine_enzyme_interaction | 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' | CREATE TABLE "medicine" (
"id" int,
"name" text,
"Trade_Name" text,
"FDA_approved" text,
primary key ("id")
)
3 rows from medicine table:
id name Trade_Name FDA_approved
1 Amisulpride Solian No
2 Aripiprazole Abilify Yes
3 Asenapine Saphris Yes
CREATE TABLE "enzyme" (
"id" int,
"name" text,
"Location" text,
"Product" text,
"Chromosome" text,
"OMIM" int,
"Porphyria" text,
primary key ("id")
)
3 rows from enzyme table:
id name Location Product Chromosome OMIM Porphyria
1 ALA synthase Mitochondrion Ξ΄-Aminolevulinic acid 3p21.1 125290 none
2 ALA dehydratase Cytosol Porphobilinogen 9q34 125270 ALA-Dehydratase deficiency
3 PBG deaminase Cytosol Hydroxymethyl bilane 11q23.3 176000 acute intermittent porphyria
CREATE TABLE "medicine_enzyme_interaction" (
"enzyme_id" int,
"medicine_id" int,
"interaction_type" text,
primary key ("enzyme_id", "medicine_id"),
foreign key ("enzyme_id") references `enzyme`("id"),
foreign key ("medicine_id") references `medicine`("id")
)
3 rows from medicine_enzyme_interaction table:
enzyme_id medicine_id interaction_type
1 1 inhibitor
1 2 inhibitor
1 3 inhibitor
|
medicine_enzyme_interaction | What is the product, chromosome, and porphyria of the enzymes located at 'Cytosol'? | SELECT product , chromosome , porphyria FROM enzyme WHERE LOCATION = 'Cytosol' | CREATE TABLE "medicine" (
"id" int,
"name" text,
"Trade_Name" text,
"FDA_approved" text,
primary key ("id")
)
3 rows from medicine table:
id name Trade_Name FDA_approved
1 Amisulpride Solian No
2 Aripiprazole Abilify Yes
3 Asenapine Saphris Yes
CREATE TABLE "enzyme" (
"id" int,
"name" text,
"Location" text,
"Product" text,
"Chromosome" text,
"OMIM" int,
"Porphyria" text,
primary key ("id")
)
3 rows from enzyme table:
id name Location Product Chromosome OMIM Porphyria
1 ALA synthase Mitochondrion Ξ΄-Aminolevulinic acid 3p21.1 125290 none
2 ALA dehydratase Cytosol Porphobilinogen 9q34 125270 ALA-Dehydratase deficiency
3 PBG deaminase Cytosol Hydroxymethyl bilane 11q23.3 176000 acute intermittent porphyria
CREATE TABLE "medicine_enzyme_interaction" (
"enzyme_id" int,
"medicine_id" int,
"interaction_type" text,
primary key ("enzyme_id", "medicine_id"),
foreign key ("enzyme_id") references `enzyme`("id"),
foreign key ("medicine_id") references `medicine`("id")
)
3 rows from medicine_enzyme_interaction table:
enzyme_id medicine_id interaction_type
1 1 inhibitor
1 2 inhibitor
1 3 inhibitor
|
medicine_enzyme_interaction | What are the names of enzymes who does not produce 'Heme'? | SELECT name FROM enzyme WHERE product != 'Heme' | CREATE TABLE "medicine" (
"id" int,
"name" text,
"Trade_Name" text,
"FDA_approved" text,
primary key ("id")
)
3 rows from medicine table:
id name Trade_Name FDA_approved
1 Amisulpride Solian No
2 Aripiprazole Abilify Yes
3 Asenapine Saphris Yes
CREATE TABLE "enzyme" (
"id" int,
"name" text,
"Location" text,
"Product" text,
"Chromosome" text,
"OMIM" int,
"Porphyria" text,
primary key ("id")
)
3 rows from enzyme table:
id name Location Product Chromosome OMIM Porphyria
1 ALA synthase Mitochondrion Ξ΄-Aminolevulinic acid 3p21.1 125290 none
2 ALA dehydratase Cytosol Porphobilinogen 9q34 125270 ALA-Dehydratase deficiency
3 PBG deaminase Cytosol Hydroxymethyl bilane 11q23.3 176000 acute intermittent porphyria
CREATE TABLE "medicine_enzyme_interaction" (
"enzyme_id" int,
"medicine_id" int,
"interaction_type" text,
primary key ("enzyme_id", "medicine_id"),
foreign key ("enzyme_id") references `enzyme`("id"),
foreign key ("medicine_id") references `medicine`("id")
)
3 rows from medicine_enzyme_interaction table:
enzyme_id medicine_id interaction_type
1 1 inhibitor
1 2 inhibitor
1 3 inhibitor
|
medicine_enzyme_interaction | What are the names of enzymes whose product is not 'Heme'? | SELECT name FROM enzyme WHERE product != 'Heme' | CREATE TABLE "medicine" (
"id" int,
"name" text,
"Trade_Name" text,
"FDA_approved" text,
primary key ("id")
)
3 rows from medicine table:
id name Trade_Name FDA_approved
1 Amisulpride Solian No
2 Aripiprazole Abilify Yes
3 Asenapine Saphris Yes
CREATE TABLE "enzyme" (
"id" int,
"name" text,
"Location" text,
"Product" text,
"Chromosome" text,
"OMIM" int,
"Porphyria" text,
primary key ("id")
)
3 rows from enzyme table:
id name Location Product Chromosome OMIM Porphyria
1 ALA synthase Mitochondrion Ξ΄-Aminolevulinic acid 3p21.1 125290 none
2 ALA dehydratase Cytosol Porphobilinogen 9q34 125270 ALA-Dehydratase deficiency
3 PBG deaminase Cytosol Hydroxymethyl bilane 11q23.3 176000 acute intermittent porphyria
CREATE TABLE "medicine_enzyme_interaction" (
"enzyme_id" int,
"medicine_id" int,
"interaction_type" text,
primary key ("enzyme_id", "medicine_id"),
foreign key ("enzyme_id") references `enzyme`("id"),
foreign key ("medicine_id") references `medicine`("id")
)
3 rows from medicine_enzyme_interaction table:
enzyme_id medicine_id interaction_type
1 1 inhibitor
1 2 inhibitor
1 3 inhibitor
|
medicine_enzyme_interaction | 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' | CREATE TABLE "medicine" (
"id" int,
"name" text,
"Trade_Name" text,
"FDA_approved" text,
primary key ("id")
)
3 rows from medicine table:
id name Trade_Name FDA_approved
1 Amisulpride Solian No
2 Aripiprazole Abilify Yes
3 Asenapine Saphris Yes
CREATE TABLE "enzyme" (
"id" int,
"name" text,
"Location" text,
"Product" text,
"Chromosome" text,
"OMIM" int,
"Porphyria" text,
primary key ("id")
)
3 rows from enzyme table:
id name Location Product Chromosome OMIM Porphyria
1 ALA synthase Mitochondrion Ξ΄-Aminolevulinic acid 3p21.1 125290 none
2 ALA dehydratase Cytosol Porphobilinogen 9q34 125270 ALA-Dehydratase deficiency
3 PBG deaminase Cytosol Hydroxymethyl bilane 11q23.3 176000 acute intermittent porphyria
CREATE TABLE "medicine_enzyme_interaction" (
"enzyme_id" int,
"medicine_id" int,
"interaction_type" text,
primary key ("enzyme_id", "medicine_id"),
foreign key ("enzyme_id") references `enzyme`("id"),
foreign key ("medicine_id") references `medicine`("id")
)
3 rows from medicine_enzyme_interaction table:
enzyme_id medicine_id interaction_type
1 1 inhibitor
1 2 inhibitor
1 3 inhibitor
|
medicine_enzyme_interaction | What are the names and trade names of the medcines that are FDA approved? | SELECT name , trade_name FROM medicine WHERE FDA_approved = 'Yes' | CREATE TABLE "medicine" (
"id" int,
"name" text,
"Trade_Name" text,
"FDA_approved" text,
primary key ("id")
)
3 rows from medicine table:
id name Trade_Name FDA_approved
1 Amisulpride Solian No
2 Aripiprazole Abilify Yes
3 Asenapine Saphris Yes
CREATE TABLE "enzyme" (
"id" int,
"name" text,
"Location" text,
"Product" text,
"Chromosome" text,
"OMIM" int,
"Porphyria" text,
primary key ("id")
)
3 rows from enzyme table:
id name Location Product Chromosome OMIM Porphyria
1 ALA synthase Mitochondrion Ξ΄-Aminolevulinic acid 3p21.1 125290 none
2 ALA dehydratase Cytosol Porphobilinogen 9q34 125270 ALA-Dehydratase deficiency
3 PBG deaminase Cytosol Hydroxymethyl bilane 11q23.3 176000 acute intermittent porphyria
CREATE TABLE "medicine_enzyme_interaction" (
"enzyme_id" int,
"medicine_id" int,
"interaction_type" text,
primary key ("enzyme_id", "medicine_id"),
foreign key ("enzyme_id") references `enzyme`("id"),
foreign key ("medicine_id") references `medicine`("id")
)
3 rows from medicine_enzyme_interaction table:
enzyme_id medicine_id interaction_type
1 1 inhibitor
1 2 inhibitor
1 3 inhibitor
|
medicine_enzyme_interaction | 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' | CREATE TABLE "medicine" (
"id" int,
"name" text,
"Trade_Name" text,
"FDA_approved" text,
primary key ("id")
)
3 rows from medicine table:
id name Trade_Name FDA_approved
1 Amisulpride Solian No
2 Aripiprazole Abilify Yes
3 Asenapine Saphris Yes
CREATE TABLE "enzyme" (
"id" int,
"name" text,
"Location" text,
"Product" text,
"Chromosome" text,
"OMIM" int,
"Porphyria" text,
primary key ("id")
)
3 rows from enzyme table:
id name Location Product Chromosome OMIM Porphyria
1 ALA synthase Mitochondrion Ξ΄-Aminolevulinic acid 3p21.1 125290 none
2 ALA dehydratase Cytosol Porphobilinogen 9q34 125270 ALA-Dehydratase deficiency
3 PBG deaminase Cytosol Hydroxymethyl bilane 11q23.3 176000 acute intermittent porphyria
CREATE TABLE "medicine_enzyme_interaction" (
"enzyme_id" int,
"medicine_id" int,
"interaction_type" text,
primary key ("enzyme_id", "medicine_id"),
foreign key ("enzyme_id") references `enzyme`("id"),
foreign key ("medicine_id") references `medicine`("id")
)
3 rows from medicine_enzyme_interaction table:
enzyme_id medicine_id interaction_type
1 1 inhibitor
1 2 inhibitor
1 3 inhibitor
|
medicine_enzyme_interaction | 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' | CREATE TABLE "medicine" (
"id" int,
"name" text,
"Trade_Name" text,
"FDA_approved" text,
primary key ("id")
)
3 rows from medicine table:
id name Trade_Name FDA_approved
1 Amisulpride Solian No
2 Aripiprazole Abilify Yes
3 Asenapine Saphris Yes
CREATE TABLE "enzyme" (
"id" int,
"name" text,
"Location" text,
"Product" text,
"Chromosome" text,
"OMIM" int,
"Porphyria" text,
primary key ("id")
)
3 rows from enzyme table:
id name Location Product Chromosome OMIM Porphyria
1 ALA synthase Mitochondrion Ξ΄-Aminolevulinic acid 3p21.1 125290 none
2 ALA dehydratase Cytosol Porphobilinogen 9q34 125270 ALA-Dehydratase deficiency
3 PBG deaminase Cytosol Hydroxymethyl bilane 11q23.3 176000 acute intermittent porphyria
CREATE TABLE "medicine_enzyme_interaction" (
"enzyme_id" int,
"medicine_id" int,
"interaction_type" text,
primary key ("enzyme_id", "medicine_id"),
foreign key ("enzyme_id") references `enzyme`("id"),
foreign key ("medicine_id") references `medicine`("id")
)
3 rows from medicine_enzyme_interaction table:
enzyme_id medicine_id interaction_type
1 1 inhibitor
1 2 inhibitor
1 3 inhibitor
|
medicine_enzyme_interaction | 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 | CREATE TABLE "medicine" (
"id" int,
"name" text,
"Trade_Name" text,
"FDA_approved" text,
primary key ("id")
)
3 rows from medicine table:
id name Trade_Name FDA_approved
1 Amisulpride Solian No
2 Aripiprazole Abilify Yes
3 Asenapine Saphris Yes
CREATE TABLE "enzyme" (
"id" int,
"name" text,
"Location" text,
"Product" text,
"Chromosome" text,
"OMIM" int,
"Porphyria" text,
primary key ("id")
)
3 rows from enzyme table:
id name Location Product Chromosome OMIM Porphyria
1 ALA synthase Mitochondrion Ξ΄-Aminolevulinic acid 3p21.1 125290 none
2 ALA dehydratase Cytosol Porphobilinogen 9q34 125270 ALA-Dehydratase deficiency
3 PBG deaminase Cytosol Hydroxymethyl bilane 11q23.3 176000 acute intermittent porphyria
CREATE TABLE "medicine_enzyme_interaction" (
"enzyme_id" int,
"medicine_id" int,
"interaction_type" text,
primary key ("enzyme_id", "medicine_id"),
foreign key ("enzyme_id") references `enzyme`("id"),
foreign key ("medicine_id") references `medicine`("id")
)
3 rows from medicine_enzyme_interaction table:
enzyme_id medicine_id interaction_type
1 1 inhibitor
1 2 inhibitor
1 3 inhibitor
|
medicine_enzyme_interaction | 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 | CREATE TABLE "medicine" (
"id" int,
"name" text,
"Trade_Name" text,
"FDA_approved" text,
primary key ("id")
)
3 rows from medicine table:
id name Trade_Name FDA_approved
1 Amisulpride Solian No
2 Aripiprazole Abilify Yes
3 Asenapine Saphris Yes
CREATE TABLE "enzyme" (
"id" int,
"name" text,
"Location" text,
"Product" text,
"Chromosome" text,
"OMIM" int,
"Porphyria" text,
primary key ("id")
)
3 rows from enzyme table:
id name Location Product Chromosome OMIM Porphyria
1 ALA synthase Mitochondrion Ξ΄-Aminolevulinic acid 3p21.1 125290 none
2 ALA dehydratase Cytosol Porphobilinogen 9q34 125270 ALA-Dehydratase deficiency
3 PBG deaminase Cytosol Hydroxymethyl bilane 11q23.3 176000 acute intermittent porphyria
CREATE TABLE "medicine_enzyme_interaction" (
"enzyme_id" int,
"medicine_id" int,
"interaction_type" text,
primary key ("enzyme_id", "medicine_id"),
foreign key ("enzyme_id") references `enzyme`("id"),
foreign key ("medicine_id") references `medicine`("id")
)
3 rows from medicine_enzyme_interaction table:
enzyme_id medicine_id interaction_type
1 1 inhibitor
1 2 inhibitor
1 3 inhibitor
|
medicine_enzyme_interaction | 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 | CREATE TABLE "medicine" (
"id" int,
"name" text,
"Trade_Name" text,
"FDA_approved" text,
primary key ("id")
)
3 rows from medicine table:
id name Trade_Name FDA_approved
1 Amisulpride Solian No
2 Aripiprazole Abilify Yes
3 Asenapine Saphris Yes
CREATE TABLE "enzyme" (
"id" int,
"name" text,
"Location" text,
"Product" text,
"Chromosome" text,
"OMIM" int,
"Porphyria" text,
primary key ("id")
)
3 rows from enzyme table:
id name Location Product Chromosome OMIM Porphyria
1 ALA synthase Mitochondrion Ξ΄-Aminolevulinic acid 3p21.1 125290 none
2 ALA dehydratase Cytosol Porphobilinogen 9q34 125270 ALA-Dehydratase deficiency
3 PBG deaminase Cytosol Hydroxymethyl bilane 11q23.3 176000 acute intermittent porphyria
CREATE TABLE "medicine_enzyme_interaction" (
"enzyme_id" int,
"medicine_id" int,
"interaction_type" text,
primary key ("enzyme_id", "medicine_id"),
foreign key ("enzyme_id") references `enzyme`("id"),
foreign key ("medicine_id") references `medicine`("id")
)
3 rows from medicine_enzyme_interaction table:
enzyme_id medicine_id interaction_type
1 1 inhibitor
1 2 inhibitor
1 3 inhibitor
|
medicine_enzyme_interaction | 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 | CREATE TABLE "medicine" (
"id" int,
"name" text,
"Trade_Name" text,
"FDA_approved" text,
primary key ("id")
)
3 rows from medicine table:
id name Trade_Name FDA_approved
1 Amisulpride Solian No
2 Aripiprazole Abilify Yes
3 Asenapine Saphris Yes
CREATE TABLE "enzyme" (
"id" int,
"name" text,
"Location" text,
"Product" text,
"Chromosome" text,
"OMIM" int,
"Porphyria" text,
primary key ("id")
)
3 rows from enzyme table:
id name Location Product Chromosome OMIM Porphyria
1 ALA synthase Mitochondrion Ξ΄-Aminolevulinic acid 3p21.1 125290 none
2 ALA dehydratase Cytosol Porphobilinogen 9q34 125270 ALA-Dehydratase deficiency
3 PBG deaminase Cytosol Hydroxymethyl bilane 11q23.3 176000 acute intermittent porphyria
CREATE TABLE "medicine_enzyme_interaction" (
"enzyme_id" int,
"medicine_id" int,
"interaction_type" text,
primary key ("enzyme_id", "medicine_id"),
foreign key ("enzyme_id") references `enzyme`("id"),
foreign key ("medicine_id") references `medicine`("id")
)
3 rows from medicine_enzyme_interaction table:
enzyme_id medicine_id interaction_type
1 1 inhibitor
1 2 inhibitor
1 3 inhibitor
|
medicine_enzyme_interaction | 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 | CREATE TABLE "medicine" (
"id" int,
"name" text,
"Trade_Name" text,
"FDA_approved" text,
primary key ("id")
)
3 rows from medicine table:
id name Trade_Name FDA_approved
1 Amisulpride Solian No
2 Aripiprazole Abilify Yes
3 Asenapine Saphris Yes
CREATE TABLE "enzyme" (
"id" int,
"name" text,
"Location" text,
"Product" text,
"Chromosome" text,
"OMIM" int,
"Porphyria" text,
primary key ("id")
)
3 rows from enzyme table:
id name Location Product Chromosome OMIM Porphyria
1 ALA synthase Mitochondrion Ξ΄-Aminolevulinic acid 3p21.1 125290 none
2 ALA dehydratase Cytosol Porphobilinogen 9q34 125270 ALA-Dehydratase deficiency
3 PBG deaminase Cytosol Hydroxymethyl bilane 11q23.3 176000 acute intermittent porphyria
CREATE TABLE "medicine_enzyme_interaction" (
"enzyme_id" int,
"medicine_id" int,
"interaction_type" text,
primary key ("enzyme_id", "medicine_id"),
foreign key ("enzyme_id") references `enzyme`("id"),
foreign key ("medicine_id") references `medicine`("id")
)
3 rows from medicine_enzyme_interaction table:
enzyme_id medicine_id interaction_type
1 1 inhibitor
1 2 inhibitor
1 3 inhibitor
|
medicine_enzyme_interaction | 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 | CREATE TABLE "medicine" (
"id" int,
"name" text,
"Trade_Name" text,
"FDA_approved" text,
primary key ("id")
)
3 rows from medicine table:
id name Trade_Name FDA_approved
1 Amisulpride Solian No
2 Aripiprazole Abilify Yes
3 Asenapine Saphris Yes
CREATE TABLE "enzyme" (
"id" int,
"name" text,
"Location" text,
"Product" text,
"Chromosome" text,
"OMIM" int,
"Porphyria" text,
primary key ("id")
)
3 rows from enzyme table:
id name Location Product Chromosome OMIM Porphyria
1 ALA synthase Mitochondrion Ξ΄-Aminolevulinic acid 3p21.1 125290 none
2 ALA dehydratase Cytosol Porphobilinogen 9q34 125270 ALA-Dehydratase deficiency
3 PBG deaminase Cytosol Hydroxymethyl bilane 11q23.3 176000 acute intermittent porphyria
CREATE TABLE "medicine_enzyme_interaction" (
"enzyme_id" int,
"medicine_id" int,
"interaction_type" text,
primary key ("enzyme_id", "medicine_id"),
foreign key ("enzyme_id") references `enzyme`("id"),
foreign key ("medicine_id") references `medicine`("id")
)
3 rows from medicine_enzyme_interaction table:
enzyme_id medicine_id interaction_type
1 1 inhibitor
1 2 inhibitor
1 3 inhibitor
|
medicine_enzyme_interaction | 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' | CREATE TABLE "medicine" (
"id" int,
"name" text,
"Trade_Name" text,
"FDA_approved" text,
primary key ("id")
)
3 rows from medicine table:
id name Trade_Name FDA_approved
1 Amisulpride Solian No
2 Aripiprazole Abilify Yes
3 Asenapine Saphris Yes
CREATE TABLE "enzyme" (
"id" int,
"name" text,
"Location" text,
"Product" text,
"Chromosome" text,
"OMIM" int,
"Porphyria" text,
primary key ("id")
)
3 rows from enzyme table:
id name Location Product Chromosome OMIM Porphyria
1 ALA synthase Mitochondrion Ξ΄-Aminolevulinic acid 3p21.1 125290 none
2 ALA dehydratase Cytosol Porphobilinogen 9q34 125270 ALA-Dehydratase deficiency
3 PBG deaminase Cytosol Hydroxymethyl bilane 11q23.3 176000 acute intermittent porphyria
CREATE TABLE "medicine_enzyme_interaction" (
"enzyme_id" int,
"medicine_id" int,
"interaction_type" text,
primary key ("enzyme_id", "medicine_id"),
foreign key ("enzyme_id") references `enzyme`("id"),
foreign key ("medicine_id") references `medicine`("id")
)
3 rows from medicine_enzyme_interaction table:
enzyme_id medicine_id interaction_type
1 1 inhibitor
1 2 inhibitor
1 3 inhibitor
|
medicine_enzyme_interaction | 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' | CREATE TABLE "medicine" (
"id" int,
"name" text,
"Trade_Name" text,
"FDA_approved" text,
primary key ("id")
)
3 rows from medicine table:
id name Trade_Name FDA_approved
1 Amisulpride Solian No
2 Aripiprazole Abilify Yes
3 Asenapine Saphris Yes
CREATE TABLE "enzyme" (
"id" int,
"name" text,
"Location" text,
"Product" text,
"Chromosome" text,
"OMIM" int,
"Porphyria" text,
primary key ("id")
)
3 rows from enzyme table:
id name Location Product Chromosome OMIM Porphyria
1 ALA synthase Mitochondrion Ξ΄-Aminolevulinic acid 3p21.1 125290 none
2 ALA dehydratase Cytosol Porphobilinogen 9q34 125270 ALA-Dehydratase deficiency
3 PBG deaminase Cytosol Hydroxymethyl bilane 11q23.3 176000 acute intermittent porphyria
CREATE TABLE "medicine_enzyme_interaction" (
"enzyme_id" int,
"medicine_id" int,
"interaction_type" text,
primary key ("enzyme_id", "medicine_id"),
foreign key ("enzyme_id") references `enzyme`("id"),
foreign key ("medicine_id") references `medicine`("id")
)
3 rows from medicine_enzyme_interaction table:
enzyme_id medicine_id interaction_type
1 1 inhibitor
1 2 inhibitor
1 3 inhibitor
|
medicine_enzyme_interaction | 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 | CREATE TABLE "medicine" (
"id" int,
"name" text,
"Trade_Name" text,
"FDA_approved" text,
primary key ("id")
)
3 rows from medicine table:
id name Trade_Name FDA_approved
1 Amisulpride Solian No
2 Aripiprazole Abilify Yes
3 Asenapine Saphris Yes
CREATE TABLE "enzyme" (
"id" int,
"name" text,
"Location" text,
"Product" text,
"Chromosome" text,
"OMIM" int,
"Porphyria" text,
primary key ("id")
)
3 rows from enzyme table:
id name Location Product Chromosome OMIM Porphyria
1 ALA synthase Mitochondrion Ξ΄-Aminolevulinic acid 3p21.1 125290 none
2 ALA dehydratase Cytosol Porphobilinogen 9q34 125270 ALA-Dehydratase deficiency
3 PBG deaminase Cytosol Hydroxymethyl bilane 11q23.3 176000 acute intermittent porphyria
CREATE TABLE "medicine_enzyme_interaction" (
"enzyme_id" int,
"medicine_id" int,
"interaction_type" text,
primary key ("enzyme_id", "medicine_id"),
foreign key ("enzyme_id") references `enzyme`("id"),
foreign key ("medicine_id") references `medicine`("id")
)
3 rows from medicine_enzyme_interaction table:
enzyme_id medicine_id interaction_type
1 1 inhibitor
1 2 inhibitor
1 3 inhibitor
|
medicine_enzyme_interaction | 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 | CREATE TABLE "medicine" (
"id" int,
"name" text,
"Trade_Name" text,
"FDA_approved" text,
primary key ("id")
)
3 rows from medicine table:
id name Trade_Name FDA_approved
1 Amisulpride Solian No
2 Aripiprazole Abilify Yes
3 Asenapine Saphris Yes
CREATE TABLE "enzyme" (
"id" int,
"name" text,
"Location" text,
"Product" text,
"Chromosome" text,
"OMIM" int,
"Porphyria" text,
primary key ("id")
)
3 rows from enzyme table:
id name Location Product Chromosome OMIM Porphyria
1 ALA synthase Mitochondrion Ξ΄-Aminolevulinic acid 3p21.1 125290 none
2 ALA dehydratase Cytosol Porphobilinogen 9q34 125270 ALA-Dehydratase deficiency
3 PBG deaminase Cytosol Hydroxymethyl bilane 11q23.3 176000 acute intermittent porphyria
CREATE TABLE "medicine_enzyme_interaction" (
"enzyme_id" int,
"medicine_id" int,
"interaction_type" text,
primary key ("enzyme_id", "medicine_id"),
foreign key ("enzyme_id") references `enzyme`("id"),
foreign key ("medicine_id") references `medicine`("id")
)
3 rows from medicine_enzyme_interaction table:
enzyme_id medicine_id interaction_type
1 1 inhibitor
1 2 inhibitor
1 3 inhibitor
|
medicine_enzyme_interaction | How many medicines have the FDA approval status 'No' ? | SELECT count(*) FROM medicine WHERE FDA_approved = 'No' | CREATE TABLE "medicine" (
"id" int,
"name" text,
"Trade_Name" text,
"FDA_approved" text,
primary key ("id")
)
3 rows from medicine table:
id name Trade_Name FDA_approved
1 Amisulpride Solian No
2 Aripiprazole Abilify Yes
3 Asenapine Saphris Yes
CREATE TABLE "enzyme" (
"id" int,
"name" text,
"Location" text,
"Product" text,
"Chromosome" text,
"OMIM" int,
"Porphyria" text,
primary key ("id")
)
3 rows from enzyme table:
id name Location Product Chromosome OMIM Porphyria
1 ALA synthase Mitochondrion Ξ΄-Aminolevulinic acid 3p21.1 125290 none
2 ALA dehydratase Cytosol Porphobilinogen 9q34 125270 ALA-Dehydratase deficiency
3 PBG deaminase Cytosol Hydroxymethyl bilane 11q23.3 176000 acute intermittent porphyria
CREATE TABLE "medicine_enzyme_interaction" (
"enzyme_id" int,
"medicine_id" int,
"interaction_type" text,
primary key ("enzyme_id", "medicine_id"),
foreign key ("enzyme_id") references `enzyme`("id"),
foreign key ("medicine_id") references `medicine`("id")
)
3 rows from medicine_enzyme_interaction table:
enzyme_id medicine_id interaction_type
1 1 inhibitor
1 2 inhibitor
1 3 inhibitor
|
medicine_enzyme_interaction | How many medicines were not approved by the FDA? | SELECT count(*) FROM medicine WHERE FDA_approved = 'No' | CREATE TABLE "medicine" (
"id" int,
"name" text,
"Trade_Name" text,
"FDA_approved" text,
primary key ("id")
)
3 rows from medicine table:
id name Trade_Name FDA_approved
1 Amisulpride Solian No
2 Aripiprazole Abilify Yes
3 Asenapine Saphris Yes
CREATE TABLE "enzyme" (
"id" int,
"name" text,
"Location" text,
"Product" text,
"Chromosome" text,
"OMIM" int,
"Porphyria" text,
primary key ("id")
)
3 rows from enzyme table:
id name Location Product Chromosome OMIM Porphyria
1 ALA synthase Mitochondrion Ξ΄-Aminolevulinic acid 3p21.1 125290 none
2 ALA dehydratase Cytosol Porphobilinogen 9q34 125270 ALA-Dehydratase deficiency
3 PBG deaminase Cytosol Hydroxymethyl bilane 11q23.3 176000 acute intermittent porphyria
CREATE TABLE "medicine_enzyme_interaction" (
"enzyme_id" int,
"medicine_id" int,
"interaction_type" text,
primary key ("enzyme_id", "medicine_id"),
foreign key ("enzyme_id") references `enzyme`("id"),
foreign key ("medicine_id") references `medicine`("id")
)
3 rows from medicine_enzyme_interaction table:
enzyme_id medicine_id interaction_type
1 1 inhibitor
1 2 inhibitor
1 3 inhibitor
|
medicine_enzyme_interaction | How many enzymes do not have any interactions? | SELECT count(*) FROM enzyme WHERE id NOT IN ( SELECT enzyme_id FROM medicine_enzyme_interaction ); | CREATE TABLE "medicine" (
"id" int,
"name" text,
"Trade_Name" text,
"FDA_approved" text,
primary key ("id")
)
3 rows from medicine table:
id name Trade_Name FDA_approved
1 Amisulpride Solian No
2 Aripiprazole Abilify Yes
3 Asenapine Saphris Yes
CREATE TABLE "enzyme" (
"id" int,
"name" text,
"Location" text,
"Product" text,
"Chromosome" text,
"OMIM" int,
"Porphyria" text,
primary key ("id")
)
3 rows from enzyme table:
id name Location Product Chromosome OMIM Porphyria
1 ALA synthase Mitochondrion Ξ΄-Aminolevulinic acid 3p21.1 125290 none
2 ALA dehydratase Cytosol Porphobilinogen 9q34 125270 ALA-Dehydratase deficiency
3 PBG deaminase Cytosol Hydroxymethyl bilane 11q23.3 176000 acute intermittent porphyria
CREATE TABLE "medicine_enzyme_interaction" (
"enzyme_id" int,
"medicine_id" int,
"interaction_type" text,
primary key ("enzyme_id", "medicine_id"),
foreign key ("enzyme_id") references `enzyme`("id"),
foreign key ("medicine_id") references `medicine`("id")
)
3 rows from medicine_enzyme_interaction table:
enzyme_id medicine_id interaction_type
1 1 inhibitor
1 2 inhibitor
1 3 inhibitor
|
medicine_enzyme_interaction | What is the count of enzymes without any interactions? | SELECT count(*) FROM enzyme WHERE id NOT IN ( SELECT enzyme_id FROM medicine_enzyme_interaction ); | CREATE TABLE "medicine" (
"id" int,
"name" text,
"Trade_Name" text,
"FDA_approved" text,
primary key ("id")
)
3 rows from medicine table:
id name Trade_Name FDA_approved
1 Amisulpride Solian No
2 Aripiprazole Abilify Yes
3 Asenapine Saphris Yes
CREATE TABLE "enzyme" (
"id" int,
"name" text,
"Location" text,
"Product" text,
"Chromosome" text,
"OMIM" int,
"Porphyria" text,
primary key ("id")
)
3 rows from enzyme table:
id name Location Product Chromosome OMIM Porphyria
1 ALA synthase Mitochondrion Ξ΄-Aminolevulinic acid 3p21.1 125290 none
2 ALA dehydratase Cytosol Porphobilinogen 9q34 125270 ALA-Dehydratase deficiency
3 PBG deaminase Cytosol Hydroxymethyl bilane 11q23.3 176000 acute intermittent porphyria
CREATE TABLE "medicine_enzyme_interaction" (
"enzyme_id" int,
"medicine_id" int,
"interaction_type" text,
primary key ("enzyme_id", "medicine_id"),
foreign key ("enzyme_id") references `enzyme`("id"),
foreign key ("medicine_id") references `medicine`("id")
)
3 rows from medicine_enzyme_interaction table:
enzyme_id medicine_id interaction_type
1 1 inhibitor
1 2 inhibitor
1 3 inhibitor
|
medicine_enzyme_interaction | 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 | CREATE TABLE "medicine" (
"id" int,
"name" text,
"Trade_Name" text,
"FDA_approved" text,
primary key ("id")
)
3 rows from medicine table:
id name Trade_Name FDA_approved
1 Amisulpride Solian No
2 Aripiprazole Abilify Yes
3 Asenapine Saphris Yes
CREATE TABLE "enzyme" (
"id" int,
"name" text,
"Location" text,
"Product" text,
"Chromosome" text,
"OMIM" int,
"Porphyria" text,
primary key ("id")
)
3 rows from enzyme table:
id name Location Product Chromosome OMIM Porphyria
1 ALA synthase Mitochondrion Ξ΄-Aminolevulinic acid 3p21.1 125290 none
2 ALA dehydratase Cytosol Porphobilinogen 9q34 125270 ALA-Dehydratase deficiency
3 PBG deaminase Cytosol Hydroxymethyl bilane 11q23.3 176000 acute intermittent porphyria
CREATE TABLE "medicine_enzyme_interaction" (
"enzyme_id" int,
"medicine_id" int,
"interaction_type" text,
primary key ("enzyme_id", "medicine_id"),
foreign key ("enzyme_id") references `enzyme`("id"),
foreign key ("medicine_id") references `medicine`("id")
)
3 rows from medicine_enzyme_interaction table:
enzyme_id medicine_id interaction_type
1 1 inhibitor
1 2 inhibitor
1 3 inhibitor
|
medicine_enzyme_interaction | 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 | CREATE TABLE "medicine" (
"id" int,
"name" text,
"Trade_Name" text,
"FDA_approved" text,
primary key ("id")
)
3 rows from medicine table:
id name Trade_Name FDA_approved
1 Amisulpride Solian No
2 Aripiprazole Abilify Yes
3 Asenapine Saphris Yes
CREATE TABLE "enzyme" (
"id" int,
"name" text,
"Location" text,
"Product" text,
"Chromosome" text,
"OMIM" int,
"Porphyria" text,
primary key ("id")
)
3 rows from enzyme table:
id name Location Product Chromosome OMIM Porphyria
1 ALA synthase Mitochondrion Ξ΄-Aminolevulinic acid 3p21.1 125290 none
2 ALA dehydratase Cytosol Porphobilinogen 9q34 125270 ALA-Dehydratase deficiency
3 PBG deaminase Cytosol Hydroxymethyl bilane 11q23.3 176000 acute intermittent porphyria
CREATE TABLE "medicine_enzyme_interaction" (
"enzyme_id" int,
"medicine_id" int,
"interaction_type" text,
primary key ("enzyme_id", "medicine_id"),
foreign key ("enzyme_id") references `enzyme`("id"),
foreign key ("medicine_id") references `medicine`("id")
)
3 rows from medicine_enzyme_interaction table:
enzyme_id medicine_id interaction_type
1 1 inhibitor
1 2 inhibitor
1 3 inhibitor
|
medicine_enzyme_interaction | 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' | CREATE TABLE "medicine" (
"id" int,
"name" text,
"Trade_Name" text,
"FDA_approved" text,
primary key ("id")
)
3 rows from medicine table:
id name Trade_Name FDA_approved
1 Amisulpride Solian No
2 Aripiprazole Abilify Yes
3 Asenapine Saphris Yes
CREATE TABLE "enzyme" (
"id" int,
"name" text,
"Location" text,
"Product" text,
"Chromosome" text,
"OMIM" int,
"Porphyria" text,
primary key ("id")
)
3 rows from enzyme table:
id name Location Product Chromosome OMIM Porphyria
1 ALA synthase Mitochondrion Ξ΄-Aminolevulinic acid 3p21.1 125290 none
2 ALA dehydratase Cytosol Porphobilinogen 9q34 125270 ALA-Dehydratase deficiency
3 PBG deaminase Cytosol Hydroxymethyl bilane 11q23.3 176000 acute intermittent porphyria
CREATE TABLE "medicine_enzyme_interaction" (
"enzyme_id" int,
"medicine_id" int,
"interaction_type" text,
primary key ("enzyme_id", "medicine_id"),
foreign key ("enzyme_id") references `enzyme`("id"),
foreign key ("medicine_id") references `medicine`("id")
)
3 rows from medicine_enzyme_interaction table:
enzyme_id medicine_id interaction_type
1 1 inhibitor
1 2 inhibitor
1 3 inhibitor
|
medicine_enzyme_interaction | 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' | CREATE TABLE "medicine" (
"id" int,
"name" text,
"Trade_Name" text,
"FDA_approved" text,
primary key ("id")
)
3 rows from medicine table:
id name Trade_Name FDA_approved
1 Amisulpride Solian No
2 Aripiprazole Abilify Yes
3 Asenapine Saphris Yes
CREATE TABLE "enzyme" (
"id" int,
"name" text,
"Location" text,
"Product" text,
"Chromosome" text,
"OMIM" int,
"Porphyria" text,
primary key ("id")
)
3 rows from enzyme table:
id name Location Product Chromosome OMIM Porphyria
1 ALA synthase Mitochondrion Ξ΄-Aminolevulinic acid 3p21.1 125290 none
2 ALA dehydratase Cytosol Porphobilinogen 9q34 125270 ALA-Dehydratase deficiency
3 PBG deaminase Cytosol Hydroxymethyl bilane 11q23.3 176000 acute intermittent porphyria
CREATE TABLE "medicine_enzyme_interaction" (
"enzyme_id" int,
"medicine_id" int,
"interaction_type" text,
primary key ("enzyme_id", "medicine_id"),
foreign key ("enzyme_id") references `enzyme`("id"),
foreign key ("medicine_id") references `medicine`("id")
)
3 rows from medicine_enzyme_interaction table:
enzyme_id medicine_id interaction_type
1 1 inhibitor
1 2 inhibitor
1 3 inhibitor
|
medicine_enzyme_interaction | 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' | CREATE TABLE "medicine" (
"id" int,
"name" text,
"Trade_Name" text,
"FDA_approved" text,
primary key ("id")
)
3 rows from medicine table:
id name Trade_Name FDA_approved
1 Amisulpride Solian No
2 Aripiprazole Abilify Yes
3 Asenapine Saphris Yes
CREATE TABLE "enzyme" (
"id" int,
"name" text,
"Location" text,
"Product" text,
"Chromosome" text,
"OMIM" int,
"Porphyria" text,
primary key ("id")
)
3 rows from enzyme table:
id name Location Product Chromosome OMIM Porphyria
1 ALA synthase Mitochondrion Ξ΄-Aminolevulinic acid 3p21.1 125290 none
2 ALA dehydratase Cytosol Porphobilinogen 9q34 125270 ALA-Dehydratase deficiency
3 PBG deaminase Cytosol Hydroxymethyl bilane 11q23.3 176000 acute intermittent porphyria
CREATE TABLE "medicine_enzyme_interaction" (
"enzyme_id" int,
"medicine_id" int,
"interaction_type" text,
primary key ("enzyme_id", "medicine_id"),
foreign key ("enzyme_id") references `enzyme`("id"),
foreign key ("medicine_id") references `medicine`("id")
)
3 rows from medicine_enzyme_interaction table:
enzyme_id medicine_id interaction_type
1 1 inhibitor
1 2 inhibitor
1 3 inhibitor
|
medicine_enzyme_interaction | 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' | CREATE TABLE "medicine" (
"id" int,
"name" text,
"Trade_Name" text,
"FDA_approved" text,
primary key ("id")
)
3 rows from medicine table:
id name Trade_Name FDA_approved
1 Amisulpride Solian No
2 Aripiprazole Abilify Yes
3 Asenapine Saphris Yes
CREATE TABLE "enzyme" (
"id" int,
"name" text,
"Location" text,
"Product" text,
"Chromosome" text,
"OMIM" int,
"Porphyria" text,
primary key ("id")
)
3 rows from enzyme table:
id name Location Product Chromosome OMIM Porphyria
1 ALA synthase Mitochondrion Ξ΄-Aminolevulinic acid 3p21.1 125290 none
2 ALA dehydratase Cytosol Porphobilinogen 9q34 125270 ALA-Dehydratase deficiency
3 PBG deaminase Cytosol Hydroxymethyl bilane 11q23.3 176000 acute intermittent porphyria
CREATE TABLE "medicine_enzyme_interaction" (
"enzyme_id" int,
"medicine_id" int,
"interaction_type" text,
primary key ("enzyme_id", "medicine_id"),
foreign key ("enzyme_id") references `enzyme`("id"),
foreign key ("medicine_id") references `medicine`("id")
)
3 rows from medicine_enzyme_interaction table:
enzyme_id medicine_id interaction_type
1 1 inhibitor
1 2 inhibitor
1 3 inhibitor
|
medicine_enzyme_interaction | 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' | CREATE TABLE "medicine" (
"id" int,
"name" text,
"Trade_Name" text,
"FDA_approved" text,
primary key ("id")
)
3 rows from medicine table:
id name Trade_Name FDA_approved
1 Amisulpride Solian No
2 Aripiprazole Abilify Yes
3 Asenapine Saphris Yes
CREATE TABLE "enzyme" (
"id" int,
"name" text,
"Location" text,
"Product" text,
"Chromosome" text,
"OMIM" int,
"Porphyria" text,
primary key ("id")
)
3 rows from enzyme table:
id name Location Product Chromosome OMIM Porphyria
1 ALA synthase Mitochondrion Ξ΄-Aminolevulinic acid 3p21.1 125290 none
2 ALA dehydratase Cytosol Porphobilinogen 9q34 125270 ALA-Dehydratase deficiency
3 PBG deaminase Cytosol Hydroxymethyl bilane 11q23.3 176000 acute intermittent porphyria
CREATE TABLE "medicine_enzyme_interaction" (
"enzyme_id" int,
"medicine_id" int,
"interaction_type" text,
primary key ("enzyme_id", "medicine_id"),
foreign key ("enzyme_id") references `enzyme`("id"),
foreign key ("medicine_id") references `medicine`("id")
)
3 rows from medicine_enzyme_interaction table:
enzyme_id medicine_id interaction_type
1 1 inhibitor
1 2 inhibitor
1 3 inhibitor
|
medicine_enzyme_interaction | 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' | CREATE TABLE "medicine" (
"id" int,
"name" text,
"Trade_Name" text,
"FDA_approved" text,
primary key ("id")
)
3 rows from medicine table:
id name Trade_Name FDA_approved
1 Amisulpride Solian No
2 Aripiprazole Abilify Yes
3 Asenapine Saphris Yes
CREATE TABLE "enzyme" (
"id" int,
"name" text,
"Location" text,
"Product" text,
"Chromosome" text,
"OMIM" int,
"Porphyria" text,
primary key ("id")
)
3 rows from enzyme table:
id name Location Product Chromosome OMIM Porphyria
1 ALA synthase Mitochondrion Ξ΄-Aminolevulinic acid 3p21.1 125290 none
2 ALA dehydratase Cytosol Porphobilinogen 9q34 125270 ALA-Dehydratase deficiency
3 PBG deaminase Cytosol Hydroxymethyl bilane 11q23.3 176000 acute intermittent porphyria
CREATE TABLE "medicine_enzyme_interaction" (
"enzyme_id" int,
"medicine_id" int,
"interaction_type" text,
primary key ("enzyme_id", "medicine_id"),
foreign key ("enzyme_id") references `enzyme`("id"),
foreign key ("medicine_id") references `medicine`("id")
)
3 rows from medicine_enzyme_interaction table:
enzyme_id medicine_id interaction_type
1 1 inhibitor
1 2 inhibitor
1 3 inhibitor
|
medicine_enzyme_interaction | How many distinct FDA approval statuses are there for the medicines? | SELECT count(DISTINCT FDA_approved) FROM medicine | CREATE TABLE "medicine" (
"id" int,
"name" text,
"Trade_Name" text,
"FDA_approved" text,
primary key ("id")
)
3 rows from medicine table:
id name Trade_Name FDA_approved
1 Amisulpride Solian No
2 Aripiprazole Abilify Yes
3 Asenapine Saphris Yes
CREATE TABLE "enzyme" (
"id" int,
"name" text,
"Location" text,
"Product" text,
"Chromosome" text,
"OMIM" int,
"Porphyria" text,
primary key ("id")
)
3 rows from enzyme table:
id name Location Product Chromosome OMIM Porphyria
1 ALA synthase Mitochondrion Ξ΄-Aminolevulinic acid 3p21.1 125290 none
2 ALA dehydratase Cytosol Porphobilinogen 9q34 125270 ALA-Dehydratase deficiency
3 PBG deaminase Cytosol Hydroxymethyl bilane 11q23.3 176000 acute intermittent porphyria
CREATE TABLE "medicine_enzyme_interaction" (
"enzyme_id" int,
"medicine_id" int,
"interaction_type" text,
primary key ("enzyme_id", "medicine_id"),
foreign key ("enzyme_id") references `enzyme`("id"),
foreign key ("medicine_id") references `medicine`("id")
)
3 rows from medicine_enzyme_interaction table:
enzyme_id medicine_id interaction_type
1 1 inhibitor
1 2 inhibitor
1 3 inhibitor
|
medicine_enzyme_interaction | How many different FDA approval statuses exist for medicines? | SELECT count(DISTINCT FDA_approved) FROM medicine | CREATE TABLE "medicine" (
"id" int,
"name" text,
"Trade_Name" text,
"FDA_approved" text,
primary key ("id")
)
3 rows from medicine table:
id name Trade_Name FDA_approved
1 Amisulpride Solian No
2 Aripiprazole Abilify Yes
3 Asenapine Saphris Yes
CREATE TABLE "enzyme" (
"id" int,
"name" text,
"Location" text,
"Product" text,
"Chromosome" text,
"OMIM" int,
"Porphyria" text,
primary key ("id")
)
3 rows from enzyme table:
id name Location Product Chromosome OMIM Porphyria
1 ALA synthase Mitochondrion Ξ΄-Aminolevulinic acid 3p21.1 125290 none
2 ALA dehydratase Cytosol Porphobilinogen 9q34 125270 ALA-Dehydratase deficiency
3 PBG deaminase Cytosol Hydroxymethyl bilane 11q23.3 176000 acute intermittent porphyria
CREATE TABLE "medicine_enzyme_interaction" (
"enzyme_id" int,
"medicine_id" int,
"interaction_type" text,
primary key ("enzyme_id", "medicine_id"),
foreign key ("enzyme_id") references `enzyme`("id"),
foreign key ("medicine_id") references `medicine`("id")
)
3 rows from medicine_enzyme_interaction table:
enzyme_id medicine_id interaction_type
1 1 inhibitor
1 2 inhibitor
1 3 inhibitor
|
medicine_enzyme_interaction | Which enzyme names have the substring "ALA"? | SELECT name FROM enzyme WHERE name LIKE "%ALA%" | CREATE TABLE "medicine" (
"id" int,
"name" text,
"Trade_Name" text,
"FDA_approved" text,
primary key ("id")
)
3 rows from medicine table:
id name Trade_Name FDA_approved
1 Amisulpride Solian No
2 Aripiprazole Abilify Yes
3 Asenapine Saphris Yes
CREATE TABLE "enzyme" (
"id" int,
"name" text,
"Location" text,
"Product" text,
"Chromosome" text,
"OMIM" int,
"Porphyria" text,
primary key ("id")
)
3 rows from enzyme table:
id name Location Product Chromosome OMIM Porphyria
1 ALA synthase Mitochondrion Ξ΄-Aminolevulinic acid 3p21.1 125290 none
2 ALA dehydratase Cytosol Porphobilinogen 9q34 125270 ALA-Dehydratase deficiency
3 PBG deaminase Cytosol Hydroxymethyl bilane 11q23.3 176000 acute intermittent porphyria
CREATE TABLE "medicine_enzyme_interaction" (
"enzyme_id" int,
"medicine_id" int,
"interaction_type" text,
primary key ("enzyme_id", "medicine_id"),
foreign key ("enzyme_id") references `enzyme`("id"),
foreign key ("medicine_id") references `medicine`("id")
)
3 rows from medicine_enzyme_interaction table:
enzyme_id medicine_id interaction_type
1 1 inhibitor
1 2 inhibitor
1 3 inhibitor
|
medicine_enzyme_interaction | What are the names of enzymes that include the string 'ALA'? | SELECT name FROM enzyme WHERE name LIKE "%ALA%" | CREATE TABLE "medicine" (
"id" int,
"name" text,
"Trade_Name" text,
"FDA_approved" text,
primary key ("id")
)
3 rows from medicine table:
id name Trade_Name FDA_approved
1 Amisulpride Solian No
2 Aripiprazole Abilify Yes
3 Asenapine Saphris Yes
CREATE TABLE "enzyme" (
"id" int,
"name" text,
"Location" text,
"Product" text,
"Chromosome" text,
"OMIM" int,
"Porphyria" text,
primary key ("id")
)
3 rows from enzyme table:
id name Location Product Chromosome OMIM Porphyria
1 ALA synthase Mitochondrion Ξ΄-Aminolevulinic acid 3p21.1 125290 none
2 ALA dehydratase Cytosol Porphobilinogen 9q34 125270 ALA-Dehydratase deficiency
3 PBG deaminase Cytosol Hydroxymethyl bilane 11q23.3 176000 acute intermittent porphyria
CREATE TABLE "medicine_enzyme_interaction" (
"enzyme_id" int,
"medicine_id" int,
"interaction_type" text,
primary key ("enzyme_id", "medicine_id"),
foreign key ("enzyme_id") references `enzyme`("id"),
foreign key ("medicine_id") references `medicine`("id")
)
3 rows from medicine_enzyme_interaction table:
enzyme_id medicine_id interaction_type
1 1 inhibitor
1 2 inhibitor
1 3 inhibitor
|
medicine_enzyme_interaction | find the number of medicines offered by each trade. | SELECT trade_name , count(*) FROM medicine GROUP BY trade_name | CREATE TABLE "medicine" (
"id" int,
"name" text,
"Trade_Name" text,
"FDA_approved" text,
primary key ("id")
)
3 rows from medicine table:
id name Trade_Name FDA_approved
1 Amisulpride Solian No
2 Aripiprazole Abilify Yes
3 Asenapine Saphris Yes
CREATE TABLE "enzyme" (
"id" int,
"name" text,
"Location" text,
"Product" text,
"Chromosome" text,
"OMIM" int,
"Porphyria" text,
primary key ("id")
)
3 rows from enzyme table:
id name Location Product Chromosome OMIM Porphyria
1 ALA synthase Mitochondrion Ξ΄-Aminolevulinic acid 3p21.1 125290 none
2 ALA dehydratase Cytosol Porphobilinogen 9q34 125270 ALA-Dehydratase deficiency
3 PBG deaminase Cytosol Hydroxymethyl bilane 11q23.3 176000 acute intermittent porphyria
CREATE TABLE "medicine_enzyme_interaction" (
"enzyme_id" int,
"medicine_id" int,
"interaction_type" text,
primary key ("enzyme_id", "medicine_id"),
foreign key ("enzyme_id") references `enzyme`("id"),
foreign key ("medicine_id") references `medicine`("id")
)
3 rows from medicine_enzyme_interaction table:
enzyme_id medicine_id interaction_type
1 1 inhibitor
1 2 inhibitor
1 3 inhibitor
|
medicine_enzyme_interaction | How many medicines are offered by each trade name? | SELECT trade_name , count(*) FROM medicine GROUP BY trade_name | CREATE TABLE "medicine" (
"id" int,
"name" text,
"Trade_Name" text,
"FDA_approved" text,
primary key ("id")
)
3 rows from medicine table:
id name Trade_Name FDA_approved
1 Amisulpride Solian No
2 Aripiprazole Abilify Yes
3 Asenapine Saphris Yes
CREATE TABLE "enzyme" (
"id" int,
"name" text,
"Location" text,
"Product" text,
"Chromosome" text,
"OMIM" int,
"Porphyria" text,
primary key ("id")
)
3 rows from enzyme table:
id name Location Product Chromosome OMIM Porphyria
1 ALA synthase Mitochondrion Ξ΄-Aminolevulinic acid 3p21.1 125290 none
2 ALA dehydratase Cytosol Porphobilinogen 9q34 125270 ALA-Dehydratase deficiency
3 PBG deaminase Cytosol Hydroxymethyl bilane 11q23.3 176000 acute intermittent porphyria
CREATE TABLE "medicine_enzyme_interaction" (
"enzyme_id" int,
"medicine_id" int,
"interaction_type" text,
primary key ("enzyme_id", "medicine_id"),
foreign key ("enzyme_id") references `enzyme`("id"),
foreign key ("medicine_id") references `medicine`("id")
)
3 rows from medicine_enzyme_interaction table:
enzyme_id medicine_id interaction_type
1 1 inhibitor
1 2 inhibitor
1 3 inhibitor
|
university_basketball | List all schools and their nicknames in the order of founded year. | SELECT school , nickname FROM university ORDER BY founded | CREATE TABLE "basketball_match" (
"Team_ID" int,
"School_ID" int,
"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,
PRIMARY KEY ("Team_ID"),
FOREIGN KEY (`School_ID`) REFERENCES `university`(`School_ID`)
)
3 rows from basketball_match table:
Team_ID School_ID Team_Name ACC_Regular_Season ACC_Percent ACC_Home ACC_Road All_Games All_Games_Percent All_Home All_Road All_Neutral
1 1 North Carolina 14β2 .875 6β2 8β0 35β2 0.946 14β2 13β0 9β1
2 2 Duke 13β3 .813 7β1 6β2 28β6 0.824 15β1 8β2 5β3
3 4 Clemson 10β6 .625 7β1 3β5 24β10 0.706 14β2 6β5 4β3
CREATE TABLE "university" (
"School_ID" int,
"School" text,
"Location" text,
"Founded" real,
"Affiliation" text,
"Enrollment" real,
"Nickname" text,
"Primary_conference" text,
PRIMARY KEY ("School_ID")
)
3 rows from university table:
School_ID School Location Founded Affiliation Enrollment Nickname Primary_conference
1 University of Delaware Newark, DE 1743.0 Public 19067.0 Fightin' Blue Hens Colonial Athletic Association ( D-I )
2 Lebanon Valley College Annville, PA 1866.0 Private/Methodist 2100.0 Flying Dutchmen MAC Commonwealth Conference ( D-III )
3 University of Rhode Island Kingston, RI 1892.0 Public 19095.0 Rams Atlantic 10 Conference ( D-I )
|
university_basketball | What are the different schools and their nicknames, ordered by their founding years? | SELECT school , nickname FROM university ORDER BY founded | CREATE TABLE "basketball_match" (
"Team_ID" int,
"School_ID" int,
"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,
PRIMARY KEY ("Team_ID"),
FOREIGN KEY (`School_ID`) REFERENCES `university`(`School_ID`)
)
3 rows from basketball_match table:
Team_ID School_ID Team_Name ACC_Regular_Season ACC_Percent ACC_Home ACC_Road All_Games All_Games_Percent All_Home All_Road All_Neutral
1 1 North Carolina 14β2 .875 6β2 8β0 35β2 0.946 14β2 13β0 9β1
2 2 Duke 13β3 .813 7β1 6β2 28β6 0.824 15β1 8β2 5β3
3 4 Clemson 10β6 .625 7β1 3β5 24β10 0.706 14β2 6β5 4β3
CREATE TABLE "university" (
"School_ID" int,
"School" text,
"Location" text,
"Founded" real,
"Affiliation" text,
"Enrollment" real,
"Nickname" text,
"Primary_conference" text,
PRIMARY KEY ("School_ID")
)
3 rows from university table:
School_ID School Location Founded Affiliation Enrollment Nickname Primary_conference
1 University of Delaware Newark, DE 1743.0 Public 19067.0 Fightin' Blue Hens Colonial Athletic Association ( D-I )
2 Lebanon Valley College Annville, PA 1866.0 Private/Methodist 2100.0 Flying Dutchmen MAC Commonwealth Conference ( D-III )
3 University of Rhode Island Kingston, RI 1892.0 Public 19095.0 Rams Atlantic 10 Conference ( D-I )
|
university_basketball | List all public schools and their locations. | SELECT school , LOCATION FROM university WHERE affiliation = 'Public' | CREATE TABLE "basketball_match" (
"Team_ID" int,
"School_ID" int,
"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,
PRIMARY KEY ("Team_ID"),
FOREIGN KEY (`School_ID`) REFERENCES `university`(`School_ID`)
)
3 rows from basketball_match table:
Team_ID School_ID Team_Name ACC_Regular_Season ACC_Percent ACC_Home ACC_Road All_Games All_Games_Percent All_Home All_Road All_Neutral
1 1 North Carolina 14β2 .875 6β2 8β0 35β2 0.946 14β2 13β0 9β1
2 2 Duke 13β3 .813 7β1 6β2 28β6 0.824 15β1 8β2 5β3
3 4 Clemson 10β6 .625 7β1 3β5 24β10 0.706 14β2 6β5 4β3
CREATE TABLE "university" (
"School_ID" int,
"School" text,
"Location" text,
"Founded" real,
"Affiliation" text,
"Enrollment" real,
"Nickname" text,
"Primary_conference" text,
PRIMARY KEY ("School_ID")
)
3 rows from university table:
School_ID School Location Founded Affiliation Enrollment Nickname Primary_conference
1 University of Delaware Newark, DE 1743.0 Public 19067.0 Fightin' Blue Hens Colonial Athletic Association ( D-I )
2 Lebanon Valley College Annville, PA 1866.0 Private/Methodist 2100.0 Flying Dutchmen MAC Commonwealth Conference ( D-III )
3 University of Rhode Island Kingston, RI 1892.0 Public 19095.0 Rams Atlantic 10 Conference ( D-I )
|
university_basketball | What are the public schools and what are their locations? | SELECT school , LOCATION FROM university WHERE affiliation = 'Public' | CREATE TABLE "basketball_match" (
"Team_ID" int,
"School_ID" int,
"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,
PRIMARY KEY ("Team_ID"),
FOREIGN KEY (`School_ID`) REFERENCES `university`(`School_ID`)
)
3 rows from basketball_match table:
Team_ID School_ID Team_Name ACC_Regular_Season ACC_Percent ACC_Home ACC_Road All_Games All_Games_Percent All_Home All_Road All_Neutral
1 1 North Carolina 14β2 .875 6β2 8β0 35β2 0.946 14β2 13β0 9β1
2 2 Duke 13β3 .813 7β1 6β2 28β6 0.824 15β1 8β2 5β3
3 4 Clemson 10β6 .625 7β1 3β5 24β10 0.706 14β2 6β5 4β3
CREATE TABLE "university" (
"School_ID" int,
"School" text,
"Location" text,
"Founded" real,
"Affiliation" text,
"Enrollment" real,
"Nickname" text,
"Primary_conference" text,
PRIMARY KEY ("School_ID")
)
3 rows from university table:
School_ID School Location Founded Affiliation Enrollment Nickname Primary_conference
1 University of Delaware Newark, DE 1743.0 Public 19067.0 Fightin' Blue Hens Colonial Athletic Association ( D-I )
2 Lebanon Valley College Annville, PA 1866.0 Private/Methodist 2100.0 Flying Dutchmen MAC Commonwealth Conference ( D-III )
3 University of Rhode Island Kingston, RI 1892.0 Public 19095.0 Rams Atlantic 10 Conference ( D-I )
|
university_basketball | When was the school with the largest enrollment founded? | SELECT founded FROM university ORDER BY enrollment DESC LIMIT 1 | CREATE TABLE "basketball_match" (
"Team_ID" int,
"School_ID" int,
"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,
PRIMARY KEY ("Team_ID"),
FOREIGN KEY (`School_ID`) REFERENCES `university`(`School_ID`)
)
3 rows from basketball_match table:
Team_ID School_ID Team_Name ACC_Regular_Season ACC_Percent ACC_Home ACC_Road All_Games All_Games_Percent All_Home All_Road All_Neutral
1 1 North Carolina 14β2 .875 6β2 8β0 35β2 0.946 14β2 13β0 9β1
2 2 Duke 13β3 .813 7β1 6β2 28β6 0.824 15β1 8β2 5β3
3 4 Clemson 10β6 .625 7β1 3β5 24β10 0.706 14β2 6β5 4β3
CREATE TABLE "university" (
"School_ID" int,
"School" text,
"Location" text,
"Founded" real,
"Affiliation" text,
"Enrollment" real,
"Nickname" text,
"Primary_conference" text,
PRIMARY KEY ("School_ID")
)
3 rows from university table:
School_ID School Location Founded Affiliation Enrollment Nickname Primary_conference
1 University of Delaware Newark, DE 1743.0 Public 19067.0 Fightin' Blue Hens Colonial Athletic Association ( D-I )
2 Lebanon Valley College Annville, PA 1866.0 Private/Methodist 2100.0 Flying Dutchmen MAC Commonwealth Conference ( D-III )
3 University of Rhode Island Kingston, RI 1892.0 Public 19095.0 Rams Atlantic 10 Conference ( D-I )
|
university_basketball | Return the founded year for the school with the largest enrollment. | SELECT founded FROM university ORDER BY enrollment DESC LIMIT 1 | CREATE TABLE "basketball_match" (
"Team_ID" int,
"School_ID" int,
"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,
PRIMARY KEY ("Team_ID"),
FOREIGN KEY (`School_ID`) REFERENCES `university`(`School_ID`)
)
3 rows from basketball_match table:
Team_ID School_ID Team_Name ACC_Regular_Season ACC_Percent ACC_Home ACC_Road All_Games All_Games_Percent All_Home All_Road All_Neutral
1 1 North Carolina 14β2 .875 6β2 8β0 35β2 0.946 14β2 13β0 9β1
2 2 Duke 13β3 .813 7β1 6β2 28β6 0.824 15β1 8β2 5β3
3 4 Clemson 10β6 .625 7β1 3β5 24β10 0.706 14β2 6β5 4β3
CREATE TABLE "university" (
"School_ID" int,
"School" text,
"Location" text,
"Founded" real,
"Affiliation" text,
"Enrollment" real,
"Nickname" text,
"Primary_conference" text,
PRIMARY KEY ("School_ID")
)
3 rows from university table:
School_ID School Location Founded Affiliation Enrollment Nickname Primary_conference
1 University of Delaware Newark, DE 1743.0 Public 19067.0 Fightin' Blue Hens Colonial Athletic Association ( D-I )
2 Lebanon Valley College Annville, PA 1866.0 Private/Methodist 2100.0 Flying Dutchmen MAC Commonwealth Conference ( D-III )
3 University of Rhode Island Kingston, RI 1892.0 Public 19095.0 Rams Atlantic 10 Conference ( D-I )
|
university_basketball | Find the founded year of the newest non public school. | SELECT founded FROM university WHERE affiliation != 'Public' ORDER BY founded DESC LIMIT 1 | CREATE TABLE "basketball_match" (
"Team_ID" int,
"School_ID" int,
"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,
PRIMARY KEY ("Team_ID"),
FOREIGN KEY (`School_ID`) REFERENCES `university`(`School_ID`)
)
3 rows from basketball_match table:
Team_ID School_ID Team_Name ACC_Regular_Season ACC_Percent ACC_Home ACC_Road All_Games All_Games_Percent All_Home All_Road All_Neutral
1 1 North Carolina 14β2 .875 6β2 8β0 35β2 0.946 14β2 13β0 9β1
2 2 Duke 13β3 .813 7β1 6β2 28β6 0.824 15β1 8β2 5β3
3 4 Clemson 10β6 .625 7β1 3β5 24β10 0.706 14β2 6β5 4β3
CREATE TABLE "university" (
"School_ID" int,
"School" text,
"Location" text,
"Founded" real,
"Affiliation" text,
"Enrollment" real,
"Nickname" text,
"Primary_conference" text,
PRIMARY KEY ("School_ID")
)
3 rows from university table:
School_ID School Location Founded Affiliation Enrollment Nickname Primary_conference
1 University of Delaware Newark, DE 1743.0 Public 19067.0 Fightin' Blue Hens Colonial Athletic Association ( D-I )
2 Lebanon Valley College Annville, PA 1866.0 Private/Methodist 2100.0 Flying Dutchmen MAC Commonwealth Conference ( D-III )
3 University of Rhode Island Kingston, RI 1892.0 Public 19095.0 Rams Atlantic 10 Conference ( D-I )
|
university_basketball | 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 | CREATE TABLE "basketball_match" (
"Team_ID" int,
"School_ID" int,
"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,
PRIMARY KEY ("Team_ID"),
FOREIGN KEY (`School_ID`) REFERENCES `university`(`School_ID`)
)
3 rows from basketball_match table:
Team_ID School_ID Team_Name ACC_Regular_Season ACC_Percent ACC_Home ACC_Road All_Games All_Games_Percent All_Home All_Road All_Neutral
1 1 North Carolina 14β2 .875 6β2 8β0 35β2 0.946 14β2 13β0 9β1
2 2 Duke 13β3 .813 7β1 6β2 28β6 0.824 15β1 8β2 5β3
3 4 Clemson 10β6 .625 7β1 3β5 24β10 0.706 14β2 6β5 4β3
CREATE TABLE "university" (
"School_ID" int,
"School" text,
"Location" text,
"Founded" real,
"Affiliation" text,
"Enrollment" real,
"Nickname" text,
"Primary_conference" text,
PRIMARY KEY ("School_ID")
)
3 rows from university table:
School_ID School Location Founded Affiliation Enrollment Nickname Primary_conference
1 University of Delaware Newark, DE 1743.0 Public 19067.0 Fightin' Blue Hens Colonial Athletic Association ( D-I )
2 Lebanon Valley College Annville, PA 1866.0 Private/Methodist 2100.0 Flying Dutchmen MAC Commonwealth Conference ( D-III )
3 University of Rhode Island Kingston, RI 1892.0 Public 19095.0 Rams Atlantic 10 Conference ( D-I )
|
university_basketball | How many schools are in the basketball match? | SELECT count(DISTINCT school_id) FROM basketball_match | CREATE TABLE "basketball_match" (
"Team_ID" int,
"School_ID" int,
"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,
PRIMARY KEY ("Team_ID"),
FOREIGN KEY (`School_ID`) REFERENCES `university`(`School_ID`)
)
3 rows from basketball_match table:
Team_ID School_ID Team_Name ACC_Regular_Season ACC_Percent ACC_Home ACC_Road All_Games All_Games_Percent All_Home All_Road All_Neutral
1 1 North Carolina 14β2 .875 6β2 8β0 35β2 0.946 14β2 13β0 9β1
2 2 Duke 13β3 .813 7β1 6β2 28β6 0.824 15β1 8β2 5β3
3 4 Clemson 10β6 .625 7β1 3β5 24β10 0.706 14β2 6β5 4β3
CREATE TABLE "university" (
"School_ID" int,
"School" text,
"Location" text,
"Founded" real,
"Affiliation" text,
"Enrollment" real,
"Nickname" text,
"Primary_conference" text,
PRIMARY KEY ("School_ID")
)
3 rows from university table:
School_ID School Location Founded Affiliation Enrollment Nickname Primary_conference
1 University of Delaware Newark, DE 1743.0 Public 19067.0 Fightin' Blue Hens Colonial Athletic Association ( D-I )
2 Lebanon Valley College Annville, PA 1866.0 Private/Methodist 2100.0 Flying Dutchmen MAC Commonwealth Conference ( D-III )
3 University of Rhode Island Kingston, RI 1892.0 Public 19095.0 Rams Atlantic 10 Conference ( D-I )
|
university_basketball | Count the number of schools that have had basketball matches. | SELECT count(DISTINCT school_id) FROM basketball_match | CREATE TABLE "basketball_match" (
"Team_ID" int,
"School_ID" int,
"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,
PRIMARY KEY ("Team_ID"),
FOREIGN KEY (`School_ID`) REFERENCES `university`(`School_ID`)
)
3 rows from basketball_match table:
Team_ID School_ID Team_Name ACC_Regular_Season ACC_Percent ACC_Home ACC_Road All_Games All_Games_Percent All_Home All_Road All_Neutral
1 1 North Carolina 14β2 .875 6β2 8β0 35β2 0.946 14β2 13β0 9β1
2 2 Duke 13β3 .813 7β1 6β2 28β6 0.824 15β1 8β2 5β3
3 4 Clemson 10β6 .625 7β1 3β5 24β10 0.706 14β2 6β5 4β3
CREATE TABLE "university" (
"School_ID" int,
"School" text,
"Location" text,
"Founded" real,
"Affiliation" text,
"Enrollment" real,
"Nickname" text,
"Primary_conference" text,
PRIMARY KEY ("School_ID")
)
3 rows from university table:
School_ID School Location Founded Affiliation Enrollment Nickname Primary_conference
1 University of Delaware Newark, DE 1743.0 Public 19067.0 Fightin' Blue Hens Colonial Athletic Association ( D-I )
2 Lebanon Valley College Annville, PA 1866.0 Private/Methodist 2100.0 Flying Dutchmen MAC Commonwealth Conference ( D-III )
3 University of Rhode Island Kingston, RI 1892.0 Public 19095.0 Rams Atlantic 10 Conference ( D-I )
|
university_basketball | What is the highest acc percent score in the competition? | SELECT acc_percent FROM basketball_match ORDER BY acc_percent DESC LIMIT 1 | CREATE TABLE "basketball_match" (
"Team_ID" int,
"School_ID" int,
"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,
PRIMARY KEY ("Team_ID"),
FOREIGN KEY (`School_ID`) REFERENCES `university`(`School_ID`)
)
3 rows from basketball_match table:
Team_ID School_ID Team_Name ACC_Regular_Season ACC_Percent ACC_Home ACC_Road All_Games All_Games_Percent All_Home All_Road All_Neutral
1 1 North Carolina 14β2 .875 6β2 8β0 35β2 0.946 14β2 13β0 9β1
2 2 Duke 13β3 .813 7β1 6β2 28β6 0.824 15β1 8β2 5β3
3 4 Clemson 10β6 .625 7β1 3β5 24β10 0.706 14β2 6β5 4β3
CREATE TABLE "university" (
"School_ID" int,
"School" text,
"Location" text,
"Founded" real,
"Affiliation" text,
"Enrollment" real,
"Nickname" text,
"Primary_conference" text,
PRIMARY KEY ("School_ID")
)
3 rows from university table:
School_ID School Location Founded Affiliation Enrollment Nickname Primary_conference
1 University of Delaware Newark, DE 1743.0 Public 19067.0 Fightin' Blue Hens Colonial Athletic Association ( D-I )
2 Lebanon Valley College Annville, PA 1866.0 Private/Methodist 2100.0 Flying Dutchmen MAC Commonwealth Conference ( D-III )
3 University of Rhode Island Kingston, RI 1892.0 Public 19095.0 Rams Atlantic 10 Conference ( D-I )
|
university_basketball | Return the highest acc percent across all basketball matches. | SELECT acc_percent FROM basketball_match ORDER BY acc_percent DESC LIMIT 1 | CREATE TABLE "basketball_match" (
"Team_ID" int,
"School_ID" int,
"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,
PRIMARY KEY ("Team_ID"),
FOREIGN KEY (`School_ID`) REFERENCES `university`(`School_ID`)
)
3 rows from basketball_match table:
Team_ID School_ID Team_Name ACC_Regular_Season ACC_Percent ACC_Home ACC_Road All_Games All_Games_Percent All_Home All_Road All_Neutral
1 1 North Carolina 14β2 .875 6β2 8β0 35β2 0.946 14β2 13β0 9β1
2 2 Duke 13β3 .813 7β1 6β2 28β6 0.824 15β1 8β2 5β3
3 4 Clemson 10β6 .625 7β1 3β5 24β10 0.706 14β2 6β5 4β3
CREATE TABLE "university" (
"School_ID" int,
"School" text,
"Location" text,
"Founded" real,
"Affiliation" text,
"Enrollment" real,
"Nickname" text,
"Primary_conference" text,
PRIMARY KEY ("School_ID")
)
3 rows from university table:
School_ID School Location Founded Affiliation Enrollment Nickname Primary_conference
1 University of Delaware Newark, DE 1743.0 Public 19067.0 Fightin' Blue Hens Colonial Athletic Association ( D-I )
2 Lebanon Valley College Annville, PA 1866.0 Private/Methodist 2100.0 Flying Dutchmen MAC Commonwealth Conference ( D-III )
3 University of Rhode Island Kingston, RI 1892.0 Public 19095.0 Rams Atlantic 10 Conference ( D-I )
|
university_basketball | 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 | CREATE TABLE "basketball_match" (
"Team_ID" int,
"School_ID" int,
"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,
PRIMARY KEY ("Team_ID"),
FOREIGN KEY (`School_ID`) REFERENCES `university`(`School_ID`)
)
3 rows from basketball_match table:
Team_ID School_ID Team_Name ACC_Regular_Season ACC_Percent ACC_Home ACC_Road All_Games All_Games_Percent All_Home All_Road All_Neutral
1 1 North Carolina 14β2 .875 6β2 8β0 35β2 0.946 14β2 13β0 9β1
2 2 Duke 13β3 .813 7β1 6β2 28β6 0.824 15β1 8β2 5β3
3 4 Clemson 10β6 .625 7β1 3β5 24β10 0.706 14β2 6β5 4β3
CREATE TABLE "university" (
"School_ID" int,
"School" text,
"Location" text,
"Founded" real,
"Affiliation" text,
"Enrollment" real,
"Nickname" text,
"Primary_conference" text,
PRIMARY KEY ("School_ID")
)
3 rows from university table:
School_ID School Location Founded Affiliation Enrollment Nickname Primary_conference
1 University of Delaware Newark, DE 1743.0 Public 19067.0 Fightin' Blue Hens Colonial Athletic Association ( D-I )
2 Lebanon Valley College Annville, PA 1866.0 Private/Methodist 2100.0 Flying Dutchmen MAC Commonwealth Conference ( D-III )
3 University of Rhode Island Kingston, RI 1892.0 Public 19095.0 Rams Atlantic 10 Conference ( D-I )
|
university_basketball | 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 | CREATE TABLE "basketball_match" (
"Team_ID" int,
"School_ID" int,
"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,
PRIMARY KEY ("Team_ID"),
FOREIGN KEY (`School_ID`) REFERENCES `university`(`School_ID`)
)
3 rows from basketball_match table:
Team_ID School_ID Team_Name ACC_Regular_Season ACC_Percent ACC_Home ACC_Road All_Games All_Games_Percent All_Home All_Road All_Neutral
1 1 North Carolina 14β2 .875 6β2 8β0 35β2 0.946 14β2 13β0 9β1
2 2 Duke 13β3 .813 7β1 6β2 28β6 0.824 15β1 8β2 5β3
3 4 Clemson 10β6 .625 7β1 3β5 24β10 0.706 14β2 6β5 4β3
CREATE TABLE "university" (
"School_ID" int,
"School" text,
"Location" text,
"Founded" real,
"Affiliation" text,
"Enrollment" real,
"Nickname" text,
"Primary_conference" text,
PRIMARY KEY ("School_ID")
)
3 rows from university table:
School_ID School Location Founded Affiliation Enrollment Nickname Primary_conference
1 University of Delaware Newark, DE 1743.0 Public 19067.0 Fightin' Blue Hens Colonial Athletic Association ( D-I )
2 Lebanon Valley College Annville, PA 1866.0 Private/Methodist 2100.0 Flying Dutchmen MAC Commonwealth Conference ( D-III )
3 University of Rhode Island Kingston, RI 1892.0 Public 19095.0 Rams Atlantic 10 Conference ( D-I )
|
university_basketball | 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 | CREATE TABLE "basketball_match" (
"Team_ID" int,
"School_ID" int,
"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,
PRIMARY KEY ("Team_ID"),
FOREIGN KEY (`School_ID`) REFERENCES `university`(`School_ID`)
)
3 rows from basketball_match table:
Team_ID School_ID Team_Name ACC_Regular_Season ACC_Percent ACC_Home ACC_Road All_Games All_Games_Percent All_Home All_Road All_Neutral
1 1 North Carolina 14β2 .875 6β2 8β0 35β2 0.946 14β2 13β0 9β1
2 2 Duke 13β3 .813 7β1 6β2 28β6 0.824 15β1 8β2 5β3
3 4 Clemson 10β6 .625 7β1 3β5 24β10 0.706 14β2 6β5 4β3
CREATE TABLE "university" (
"School_ID" int,
"School" text,
"Location" text,
"Founded" real,
"Affiliation" text,
"Enrollment" real,
"Nickname" text,
"Primary_conference" text,
PRIMARY KEY ("School_ID")
)
3 rows from university table:
School_ID School Location Founded Affiliation Enrollment Nickname Primary_conference
1 University of Delaware Newark, DE 1743.0 Public 19067.0 Fightin' Blue Hens Colonial Athletic Association ( D-I )
2 Lebanon Valley College Annville, PA 1866.0 Private/Methodist 2100.0 Flying Dutchmen MAC Commonwealth Conference ( D-III )
3 University of Rhode Island Kingston, RI 1892.0 Public 19095.0 Rams Atlantic 10 Conference ( D-I )
|
university_basketball | 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 | CREATE TABLE "basketball_match" (
"Team_ID" int,
"School_ID" int,
"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,
PRIMARY KEY ("Team_ID"),
FOREIGN KEY (`School_ID`) REFERENCES `university`(`School_ID`)
)
3 rows from basketball_match table:
Team_ID School_ID Team_Name ACC_Regular_Season ACC_Percent ACC_Home ACC_Road All_Games All_Games_Percent All_Home All_Road All_Neutral
1 1 North Carolina 14β2 .875 6β2 8β0 35β2 0.946 14β2 13β0 9β1
2 2 Duke 13β3 .813 7β1 6β2 28β6 0.824 15β1 8β2 5β3
3 4 Clemson 10β6 .625 7β1 3β5 24β10 0.706 14β2 6β5 4β3
CREATE TABLE "university" (
"School_ID" int,
"School" text,
"Location" text,
"Founded" real,
"Affiliation" text,
"Enrollment" real,
"Nickname" text,
"Primary_conference" text,
PRIMARY KEY ("School_ID")
)
3 rows from university table:
School_ID School Location Founded Affiliation Enrollment Nickname Primary_conference
1 University of Delaware Newark, DE 1743.0 Public 19067.0 Fightin' Blue Hens Colonial Athletic Association ( D-I )
2 Lebanon Valley College Annville, PA 1866.0 Private/Methodist 2100.0 Flying Dutchmen MAC Commonwealth Conference ( D-III )
3 University of Rhode Island Kingston, RI 1892.0 Public 19095.0 Rams Atlantic 10 Conference ( D-I )
|
university_basketball | 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' | CREATE TABLE "basketball_match" (
"Team_ID" int,
"School_ID" int,
"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,
PRIMARY KEY ("Team_ID"),
FOREIGN KEY (`School_ID`) REFERENCES `university`(`School_ID`)
)
3 rows from basketball_match table:
Team_ID School_ID Team_Name ACC_Regular_Season ACC_Percent ACC_Home ACC_Road All_Games All_Games_Percent All_Home All_Road All_Neutral
1 1 North Carolina 14β2 .875 6β2 8β0 35β2 0.946 14β2 13β0 9β1
2 2 Duke 13β3 .813 7β1 6β2 28β6 0.824 15β1 8β2 5β3
3 4 Clemson 10β6 .625 7β1 3β5 24β10 0.706 14β2 6β5 4β3
CREATE TABLE "university" (
"School_ID" int,
"School" text,
"Location" text,
"Founded" real,
"Affiliation" text,
"Enrollment" real,
"Nickname" text,
"Primary_conference" text,
PRIMARY KEY ("School_ID")
)
3 rows from university table:
School_ID School Location Founded Affiliation Enrollment Nickname Primary_conference
1 University of Delaware Newark, DE 1743.0 Public 19067.0 Fightin' Blue Hens Colonial Athletic Association ( D-I )
2 Lebanon Valley College Annville, PA 1866.0 Private/Methodist 2100.0 Flying Dutchmen MAC Commonwealth Conference ( D-III )
3 University of Rhode Island Kingston, RI 1892.0 Public 19095.0 Rams Atlantic 10 Conference ( D-I )
|
university_basketball | 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' | CREATE TABLE "basketball_match" (
"Team_ID" int,
"School_ID" int,
"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,
PRIMARY KEY ("Team_ID"),
FOREIGN KEY (`School_ID`) REFERENCES `university`(`School_ID`)
)
3 rows from basketball_match table:
Team_ID School_ID Team_Name ACC_Regular_Season ACC_Percent ACC_Home ACC_Road All_Games All_Games_Percent All_Home All_Road All_Neutral
1 1 North Carolina 14β2 .875 6β2 8β0 35β2 0.946 14β2 13β0 9β1
2 2 Duke 13β3 .813 7β1 6β2 28β6 0.824 15β1 8β2 5β3
3 4 Clemson 10β6 .625 7β1 3β5 24β10 0.706 14β2 6β5 4β3
CREATE TABLE "university" (
"School_ID" int,
"School" text,
"Location" text,
"Founded" real,
"Affiliation" text,
"Enrollment" real,
"Nickname" text,
"Primary_conference" text,
PRIMARY KEY ("School_ID")
)
3 rows from university table:
School_ID School Location Founded Affiliation Enrollment Nickname Primary_conference
1 University of Delaware Newark, DE 1743.0 Public 19067.0 Fightin' Blue Hens Colonial Athletic Association ( D-I )
2 Lebanon Valley College Annville, PA 1866.0 Private/Methodist 2100.0 Flying Dutchmen MAC Commonwealth Conference ( D-III )
3 University of Rhode Island Kingston, RI 1892.0 Public 19095.0 Rams Atlantic 10 Conference ( D-I )
|
university_basketball | What are the average enrollment size of the universities that are founded before 1850? | SELECT avg(enrollment) FROM university WHERE founded < 1850 | CREATE TABLE "basketball_match" (
"Team_ID" int,
"School_ID" int,
"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,
PRIMARY KEY ("Team_ID"),
FOREIGN KEY (`School_ID`) REFERENCES `university`(`School_ID`)
)
3 rows from basketball_match table:
Team_ID School_ID Team_Name ACC_Regular_Season ACC_Percent ACC_Home ACC_Road All_Games All_Games_Percent All_Home All_Road All_Neutral
1 1 North Carolina 14β2 .875 6β2 8β0 35β2 0.946 14β2 13β0 9β1
2 2 Duke 13β3 .813 7β1 6β2 28β6 0.824 15β1 8β2 5β3
3 4 Clemson 10β6 .625 7β1 3β5 24β10 0.706 14β2 6β5 4β3
CREATE TABLE "university" (
"School_ID" int,
"School" text,
"Location" text,
"Founded" real,
"Affiliation" text,
"Enrollment" real,
"Nickname" text,
"Primary_conference" text,
PRIMARY KEY ("School_ID")
)
3 rows from university table:
School_ID School Location Founded Affiliation Enrollment Nickname Primary_conference
1 University of Delaware Newark, DE 1743.0 Public 19067.0 Fightin' Blue Hens Colonial Athletic Association ( D-I )
2 Lebanon Valley College Annville, PA 1866.0 Private/Methodist 2100.0 Flying Dutchmen MAC Commonwealth Conference ( D-III )
3 University of Rhode Island Kingston, RI 1892.0 Public 19095.0 Rams Atlantic 10 Conference ( D-I )
|
university_basketball | Return the average enrollment of universities founded before 1850. | SELECT avg(enrollment) FROM university WHERE founded < 1850 | CREATE TABLE "basketball_match" (
"Team_ID" int,
"School_ID" int,
"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,
PRIMARY KEY ("Team_ID"),
FOREIGN KEY (`School_ID`) REFERENCES `university`(`School_ID`)
)
3 rows from basketball_match table:
Team_ID School_ID Team_Name ACC_Regular_Season ACC_Percent ACC_Home ACC_Road All_Games All_Games_Percent All_Home All_Road All_Neutral
1 1 North Carolina 14β2 .875 6β2 8β0 35β2 0.946 14β2 13β0 9β1
2 2 Duke 13β3 .813 7β1 6β2 28β6 0.824 15β1 8β2 5β3
3 4 Clemson 10β6 .625 7β1 3β5 24β10 0.706 14β2 6β5 4β3
CREATE TABLE "university" (
"School_ID" int,
"School" text,
"Location" text,
"Founded" real,
"Affiliation" text,
"Enrollment" real,
"Nickname" text,
"Primary_conference" text,
PRIMARY KEY ("School_ID")
)
3 rows from university table:
School_ID School Location Founded Affiliation Enrollment Nickname Primary_conference
1 University of Delaware Newark, DE 1743.0 Public 19067.0 Fightin' Blue Hens Colonial Athletic Association ( D-I )
2 Lebanon Valley College Annville, PA 1866.0 Private/Methodist 2100.0 Flying Dutchmen MAC Commonwealth Conference ( D-III )
3 University of Rhode Island Kingston, RI 1892.0 Public 19095.0 Rams Atlantic 10 Conference ( D-I )
|
university_basketball | Show the enrollment and primary_conference of the oldest college. | SELECT enrollment , primary_conference FROM university ORDER BY founded LIMIT 1 | CREATE TABLE "basketball_match" (
"Team_ID" int,
"School_ID" int,
"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,
PRIMARY KEY ("Team_ID"),
FOREIGN KEY (`School_ID`) REFERENCES `university`(`School_ID`)
)
3 rows from basketball_match table:
Team_ID School_ID Team_Name ACC_Regular_Season ACC_Percent ACC_Home ACC_Road All_Games All_Games_Percent All_Home All_Road All_Neutral
1 1 North Carolina 14β2 .875 6β2 8β0 35β2 0.946 14β2 13β0 9β1
2 2 Duke 13β3 .813 7β1 6β2 28β6 0.824 15β1 8β2 5β3
3 4 Clemson 10β6 .625 7β1 3β5 24β10 0.706 14β2 6β5 4β3
CREATE TABLE "university" (
"School_ID" int,
"School" text,
"Location" text,
"Founded" real,
"Affiliation" text,
"Enrollment" real,
"Nickname" text,
"Primary_conference" text,
PRIMARY KEY ("School_ID")
)
3 rows from university table:
School_ID School Location Founded Affiliation Enrollment Nickname Primary_conference
1 University of Delaware Newark, DE 1743.0 Public 19067.0 Fightin' Blue Hens Colonial Athletic Association ( D-I )
2 Lebanon Valley College Annville, PA 1866.0 Private/Methodist 2100.0 Flying Dutchmen MAC Commonwealth Conference ( D-III )
3 University of Rhode Island Kingston, RI 1892.0 Public 19095.0 Rams Atlantic 10 Conference ( D-I )
|
university_basketball | 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 | CREATE TABLE "basketball_match" (
"Team_ID" int,
"School_ID" int,
"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,
PRIMARY KEY ("Team_ID"),
FOREIGN KEY (`School_ID`) REFERENCES `university`(`School_ID`)
)
3 rows from basketball_match table:
Team_ID School_ID Team_Name ACC_Regular_Season ACC_Percent ACC_Home ACC_Road All_Games All_Games_Percent All_Home All_Road All_Neutral
1 1 North Carolina 14β2 .875 6β2 8β0 35β2 0.946 14β2 13β0 9β1
2 2 Duke 13β3 .813 7β1 6β2 28β6 0.824 15β1 8β2 5β3
3 4 Clemson 10β6 .625 7β1 3β5 24β10 0.706 14β2 6β5 4β3
CREATE TABLE "university" (
"School_ID" int,
"School" text,
"Location" text,
"Founded" real,
"Affiliation" text,
"Enrollment" real,
"Nickname" text,
"Primary_conference" text,
PRIMARY KEY ("School_ID")
)
3 rows from university table:
School_ID School Location Founded Affiliation Enrollment Nickname Primary_conference
1 University of Delaware Newark, DE 1743.0 Public 19067.0 Fightin' Blue Hens Colonial Athletic Association ( D-I )
2 Lebanon Valley College Annville, PA 1866.0 Private/Methodist 2100.0 Flying Dutchmen MAC Commonwealth Conference ( D-III )
3 University of Rhode Island Kingston, RI 1892.0 Public 19095.0 Rams Atlantic 10 Conference ( D-I )
|
university_basketball | What is the total and minimum enrollment of all schools? | SELECT sum(enrollment) , min(enrollment) FROM university | CREATE TABLE "basketball_match" (
"Team_ID" int,
"School_ID" int,
"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,
PRIMARY KEY ("Team_ID"),
FOREIGN KEY (`School_ID`) REFERENCES `university`(`School_ID`)
)
3 rows from basketball_match table:
Team_ID School_ID Team_Name ACC_Regular_Season ACC_Percent ACC_Home ACC_Road All_Games All_Games_Percent All_Home All_Road All_Neutral
1 1 North Carolina 14β2 .875 6β2 8β0 35β2 0.946 14β2 13β0 9β1
2 2 Duke 13β3 .813 7β1 6β2 28β6 0.824 15β1 8β2 5β3
3 4 Clemson 10β6 .625 7β1 3β5 24β10 0.706 14β2 6β5 4β3
CREATE TABLE "university" (
"School_ID" int,
"School" text,
"Location" text,
"Founded" real,
"Affiliation" text,
"Enrollment" real,
"Nickname" text,
"Primary_conference" text,
PRIMARY KEY ("School_ID")
)
3 rows from university table:
School_ID School Location Founded Affiliation Enrollment Nickname Primary_conference
1 University of Delaware Newark, DE 1743.0 Public 19067.0 Fightin' Blue Hens Colonial Athletic Association ( D-I )
2 Lebanon Valley College Annville, PA 1866.0 Private/Methodist 2100.0 Flying Dutchmen MAC Commonwealth Conference ( D-III )
3 University of Rhode Island Kingston, RI 1892.0 Public 19095.0 Rams Atlantic 10 Conference ( D-I )
|
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.