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[INST] Here is a database schema:
state :
StateCode [ TEXT ] primary_key
State [ TEXT ]
Region [ TEXT ]
callcenterlogs :
Date received [ DATE ]
Complaint ID [ TEXT ] primary_key
rand client [ TEXT ] callcenterlogs.rand client = client.client_id
phonefinal [ TEXT ]
vru+line [ TEXT ]
call_id [ INTEGER ]
priority [ INTEGER ]
type [ TEXT ]
outcome [ TEXT ]
server [ TEXT ]
ser_start [ TEXT ]
ser_exit [ TEXT ]
ser_time [ TEXT ]
client :
client_id [ TEXT ] primary_key
sex [ TEXT ]
day [ INTEGER ]
month [ INTEGER ]
year [ INTEGER ]
age [ INTEGER ]
social [ TEXT ]
first [ TEXT ]
middle [ TEXT ]
last [ TEXT ]
phone [ TEXT ]
email [ TEXT ]
address_1 [ TEXT ]
address_2 [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zipcode [ INTEGER ]
district_id [ INTEGER ] client.district_id = district.district_id
district :
district_id [ INTEGER ] primary_key
city [ TEXT ]
state_abbrev [ TEXT ] district.state_abbrev = state.StateCode
division [ TEXT ]
events :
Date received [ DATE ]
Product [ TEXT ]
Sub-product [ TEXT ]
Issue [ TEXT ]
Sub-issue [ TEXT ]
Consumer complaint narrative [ TEXT ]
Tags [ TEXT ]
Consumer consent provided? [ TEXT ]
Submitted via [ TEXT ]
Date sent to company [ TEXT ]
Company response to consumer [ TEXT ]
Timely response? [ TEXT ]
Consumer disputed? [ TEXT ]
Complaint ID [ TEXT ] events.Complaint ID = callcenterlogs.Complaint ID
Client_ID [ TEXT ] events.Client_ID = client.client_id
reviews :
Date [ DATE ] primary_key
Stars [ INTEGER ]
Reviews [ TEXT ]
Product [ TEXT ]
district_id [ INTEGER ] reviews.district_id = district.district_id
Please write me a SQL statement that answers the following question: Lists the last name of all clients who made a PS-type complaint and were served by TOVA. [/INST] | SELECT t1.last FROM client AS T1 INNER JOIN callcenterlogs AS T2 ON T1.client_id = T2.`rand client` WHERE T2.type = 'PS' AND T2.server = 'TOVA'; |
[INST] Here is a database schema:
state :
StateCode [ TEXT ] primary_key
State [ TEXT ]
Region [ TEXT ]
callcenterlogs :
Date received [ DATE ]
Complaint ID [ TEXT ] primary_key
rand client [ TEXT ] callcenterlogs.rand client = client.client_id
phonefinal [ TEXT ]
vru+line [ TEXT ]
call_id [ INTEGER ]
priority [ INTEGER ]
type [ TEXT ]
outcome [ TEXT ]
server [ TEXT ]
ser_start [ TEXT ]
ser_exit [ TEXT ]
ser_time [ TEXT ]
client :
client_id [ TEXT ] primary_key
sex [ TEXT ]
day [ INTEGER ]
month [ INTEGER ]
year [ INTEGER ]
age [ INTEGER ]
social [ TEXT ]
first [ TEXT ]
middle [ TEXT ]
last [ TEXT ]
phone [ TEXT ]
email [ TEXT ]
address_1 [ TEXT ]
address_2 [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zipcode [ INTEGER ]
district_id [ INTEGER ] client.district_id = district.district_id
district :
district_id [ INTEGER ] primary_key
city [ TEXT ]
state_abbrev [ TEXT ] district.state_abbrev = state.StateCode
division [ TEXT ]
events :
Date received [ DATE ]
Product [ TEXT ]
Sub-product [ TEXT ]
Issue [ TEXT ]
Sub-issue [ TEXT ]
Consumer complaint narrative [ TEXT ]
Tags [ TEXT ]
Consumer consent provided? [ TEXT ]
Submitted via [ TEXT ]
Date sent to company [ TEXT ]
Company response to consumer [ TEXT ]
Timely response? [ TEXT ]
Consumer disputed? [ TEXT ]
Complaint ID [ TEXT ] events.Complaint ID = callcenterlogs.Complaint ID
Client_ID [ TEXT ] events.Client_ID = client.client_id
reviews :
Date [ DATE ] primary_key
Stars [ INTEGER ]
Reviews [ TEXT ]
Product [ TEXT ]
district_id [ INTEGER ] reviews.district_id = district.district_id
Please write me a SQL statement that answers the following question: How many clients under the age of 35 gave Eagle National Mortgage 1 star? [/INST] | SELECT COUNT(T2.age) FROM reviews AS T1 INNER JOIN client AS T2 ON T1.district_id = T2.district_id WHERE T1.Product = 'Eagle National Mortgage' AND T1.Stars = 1 AND T2.age < 35; |
[INST] Here is a database schema:
state :
StateCode [ TEXT ] primary_key
State [ TEXT ]
Region [ TEXT ]
callcenterlogs :
Date received [ DATE ]
Complaint ID [ TEXT ] primary_key
rand client [ TEXT ] callcenterlogs.rand client = client.client_id
phonefinal [ TEXT ]
vru+line [ TEXT ]
call_id [ INTEGER ]
priority [ INTEGER ]
type [ TEXT ]
outcome [ TEXT ]
server [ TEXT ]
ser_start [ TEXT ]
ser_exit [ TEXT ]
ser_time [ TEXT ]
client :
client_id [ TEXT ] primary_key
sex [ TEXT ]
day [ INTEGER ]
month [ INTEGER ]
year [ INTEGER ]
age [ INTEGER ]
social [ TEXT ]
first [ TEXT ]
middle [ TEXT ]
last [ TEXT ]
phone [ TEXT ]
email [ TEXT ]
address_1 [ TEXT ]
address_2 [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zipcode [ INTEGER ]
district_id [ INTEGER ] client.district_id = district.district_id
district :
district_id [ INTEGER ] primary_key
city [ TEXT ]
state_abbrev [ TEXT ] district.state_abbrev = state.StateCode
division [ TEXT ]
events :
Date received [ DATE ]
Product [ TEXT ]
Sub-product [ TEXT ]
Issue [ TEXT ]
Sub-issue [ TEXT ]
Consumer complaint narrative [ TEXT ]
Tags [ TEXT ]
Consumer consent provided? [ TEXT ]
Submitted via [ TEXT ]
Date sent to company [ TEXT ]
Company response to consumer [ TEXT ]
Timely response? [ TEXT ]
Consumer disputed? [ TEXT ]
Complaint ID [ TEXT ] events.Complaint ID = callcenterlogs.Complaint ID
Client_ID [ TEXT ] events.Client_ID = client.client_id
reviews :
Date [ DATE ] primary_key
Stars [ INTEGER ]
Reviews [ TEXT ]
Product [ TEXT ]
district_id [ INTEGER ] reviews.district_id = district.district_id
Please write me a SQL statement that answers the following question: How many male clients born in the year 1977 were given priority 0 in their complaints? [/INST] | SELECT COUNT(T1.sex) FROM client AS T1 INNER JOIN callcenterlogs AS T2 ON T1.client_id = T2.`rand client` WHERE T1.sex = 'Male' AND T2.priority = 0 AND T1.year = 1997; |
[INST] Here is a database schema:
state :
StateCode [ TEXT ] primary_key
State [ TEXT ]
Region [ TEXT ]
callcenterlogs :
Date received [ DATE ]
Complaint ID [ TEXT ] primary_key
rand client [ TEXT ] callcenterlogs.rand client = client.client_id
phonefinal [ TEXT ]
vru+line [ TEXT ]
call_id [ INTEGER ]
priority [ INTEGER ]
type [ TEXT ]
outcome [ TEXT ]
server [ TEXT ]
ser_start [ TEXT ]
ser_exit [ TEXT ]
ser_time [ TEXT ]
client :
client_id [ TEXT ] primary_key
sex [ TEXT ]
day [ INTEGER ]
month [ INTEGER ]
year [ INTEGER ]
age [ INTEGER ]
social [ TEXT ]
first [ TEXT ]
middle [ TEXT ]
last [ TEXT ]
phone [ TEXT ]
email [ TEXT ]
address_1 [ TEXT ]
address_2 [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zipcode [ INTEGER ]
district_id [ INTEGER ] client.district_id = district.district_id
district :
district_id [ INTEGER ] primary_key
city [ TEXT ]
state_abbrev [ TEXT ] district.state_abbrev = state.StateCode
division [ TEXT ]
events :
Date received [ DATE ]
Product [ TEXT ]
Sub-product [ TEXT ]
Issue [ TEXT ]
Sub-issue [ TEXT ]
Consumer complaint narrative [ TEXT ]
Tags [ TEXT ]
Consumer consent provided? [ TEXT ]
Submitted via [ TEXT ]
Date sent to company [ TEXT ]
Company response to consumer [ TEXT ]
Timely response? [ TEXT ]
Consumer disputed? [ TEXT ]
Complaint ID [ TEXT ] events.Complaint ID = callcenterlogs.Complaint ID
Client_ID [ TEXT ] events.Client_ID = client.client_id
reviews :
Date [ DATE ] primary_key
Stars [ INTEGER ]
Reviews [ TEXT ]
Product [ TEXT ]
district_id [ INTEGER ] reviews.district_id = district.district_id
Please write me a SQL statement that answers the following question: List by name all customers who provided consent for the tag Older American. [/INST] | SELECT T1.first, T1.middle, T1.last FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T2.Tags = 'Older American' AND T2.`Consumer consent provided?` != 'N/A' AND T2.`Consumer consent provided?` IS NOT NULL AND T2.`Consumer consent provided?` != ''; |
[INST] Here is a database schema:
state :
StateCode [ TEXT ] primary_key
State [ TEXT ]
Region [ TEXT ]
callcenterlogs :
Date received [ DATE ]
Complaint ID [ TEXT ] primary_key
rand client [ TEXT ] callcenterlogs.rand client = client.client_id
phonefinal [ TEXT ]
vru+line [ TEXT ]
call_id [ INTEGER ]
priority [ INTEGER ]
type [ TEXT ]
outcome [ TEXT ]
server [ TEXT ]
ser_start [ TEXT ]
ser_exit [ TEXT ]
ser_time [ TEXT ]
client :
client_id [ TEXT ] primary_key
sex [ TEXT ]
day [ INTEGER ]
month [ INTEGER ]
year [ INTEGER ]
age [ INTEGER ]
social [ TEXT ]
first [ TEXT ]
middle [ TEXT ]
last [ TEXT ]
phone [ TEXT ]
email [ TEXT ]
address_1 [ TEXT ]
address_2 [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zipcode [ INTEGER ]
district_id [ INTEGER ] client.district_id = district.district_id
district :
district_id [ INTEGER ] primary_key
city [ TEXT ]
state_abbrev [ TEXT ] district.state_abbrev = state.StateCode
division [ TEXT ]
events :
Date received [ DATE ]
Product [ TEXT ]
Sub-product [ TEXT ]
Issue [ TEXT ]
Sub-issue [ TEXT ]
Consumer complaint narrative [ TEXT ]
Tags [ TEXT ]
Consumer consent provided? [ TEXT ]
Submitted via [ TEXT ]
Date sent to company [ TEXT ]
Company response to consumer [ TEXT ]
Timely response? [ TEXT ]
Consumer disputed? [ TEXT ]
Complaint ID [ TEXT ] events.Complaint ID = callcenterlogs.Complaint ID
Client_ID [ TEXT ] events.Client_ID = client.client_id
reviews :
Date [ DATE ] primary_key
Stars [ INTEGER ]
Reviews [ TEXT ]
Product [ TEXT ]
district_id [ INTEGER ] reviews.district_id = district.district_id
Please write me a SQL statement that answers the following question: What is the name of the state in which there have been the largest number of complaints with priority 0? [/INST] | SELECT T2.state FROM callcenterlogs AS T1 INNER JOIN client AS T2 ON T1.`rand client` = T2.client_id INNER JOIN district AS T3 ON T2.district_id = T3.district_id INNER JOIN state AS T4 ON T3.state_abbrev = T4.StateCode WHERE T1.priority = 0 GROUP BY T2.state ORDER BY COUNT(T2.state) DESC LIMIT 1; |
[INST] Here is a database schema:
state :
StateCode [ TEXT ] primary_key
State [ TEXT ]
Region [ TEXT ]
callcenterlogs :
Date received [ DATE ]
Complaint ID [ TEXT ] primary_key
rand client [ TEXT ] callcenterlogs.rand client = client.client_id
phonefinal [ TEXT ]
vru+line [ TEXT ]
call_id [ INTEGER ]
priority [ INTEGER ]
type [ TEXT ]
outcome [ TEXT ]
server [ TEXT ]
ser_start [ TEXT ]
ser_exit [ TEXT ]
ser_time [ TEXT ]
client :
client_id [ TEXT ] primary_key
sex [ TEXT ]
day [ INTEGER ]
month [ INTEGER ]
year [ INTEGER ]
age [ INTEGER ]
social [ TEXT ]
first [ TEXT ]
middle [ TEXT ]
last [ TEXT ]
phone [ TEXT ]
email [ TEXT ]
address_1 [ TEXT ]
address_2 [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zipcode [ INTEGER ]
district_id [ INTEGER ] client.district_id = district.district_id
district :
district_id [ INTEGER ] primary_key
city [ TEXT ]
state_abbrev [ TEXT ] district.state_abbrev = state.StateCode
division [ TEXT ]
events :
Date received [ DATE ]
Product [ TEXT ]
Sub-product [ TEXT ]
Issue [ TEXT ]
Sub-issue [ TEXT ]
Consumer complaint narrative [ TEXT ]
Tags [ TEXT ]
Consumer consent provided? [ TEXT ]
Submitted via [ TEXT ]
Date sent to company [ TEXT ]
Company response to consumer [ TEXT ]
Timely response? [ TEXT ]
Consumer disputed? [ TEXT ]
Complaint ID [ TEXT ] events.Complaint ID = callcenterlogs.Complaint ID
Client_ID [ TEXT ] events.Client_ID = client.client_id
reviews :
Date [ DATE ] primary_key
Stars [ INTEGER ]
Reviews [ TEXT ]
Product [ TEXT ]
district_id [ INTEGER ] reviews.district_id = district.district_id
Please write me a SQL statement that answers the following question: How many complaints made by women and served after 3 pm received a timely response from the company? [/INST] | SELECT COUNT(T1.`Complaint ID`) FROM callcenterlogs AS T1 INNER JOIN client AS T2 ON T1.`rand client` = T2.client_id INNER JOIN events AS T3 ON T1.`Complaint ID` = T3.`Complaint ID` WHERE T2.sex = 'Female' AND T1.ser_start BETWEEN '15:00:01' AND '23:59:59' AND T3.`Timely response?` = 'Yes'; |
[INST] Here is a database schema:
state :
StateCode [ TEXT ] primary_key
State [ TEXT ]
Region [ TEXT ]
callcenterlogs :
Date received [ DATE ]
Complaint ID [ TEXT ] primary_key
rand client [ TEXT ] callcenterlogs.rand client = client.client_id
phonefinal [ TEXT ]
vru+line [ TEXT ]
call_id [ INTEGER ]
priority [ INTEGER ]
type [ TEXT ]
outcome [ TEXT ]
server [ TEXT ]
ser_start [ TEXT ]
ser_exit [ TEXT ]
ser_time [ TEXT ]
client :
client_id [ TEXT ] primary_key
sex [ TEXT ]
day [ INTEGER ]
month [ INTEGER ]
year [ INTEGER ]
age [ INTEGER ]
social [ TEXT ]
first [ TEXT ]
middle [ TEXT ]
last [ TEXT ]
phone [ TEXT ]
email [ TEXT ]
address_1 [ TEXT ]
address_2 [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zipcode [ INTEGER ]
district_id [ INTEGER ] client.district_id = district.district_id
district :
district_id [ INTEGER ] primary_key
city [ TEXT ]
state_abbrev [ TEXT ] district.state_abbrev = state.StateCode
division [ TEXT ]
events :
Date received [ DATE ]
Product [ TEXT ]
Sub-product [ TEXT ]
Issue [ TEXT ]
Sub-issue [ TEXT ]
Consumer complaint narrative [ TEXT ]
Tags [ TEXT ]
Consumer consent provided? [ TEXT ]
Submitted via [ TEXT ]
Date sent to company [ TEXT ]
Company response to consumer [ TEXT ]
Timely response? [ TEXT ]
Consumer disputed? [ TEXT ]
Complaint ID [ TEXT ] events.Complaint ID = callcenterlogs.Complaint ID
Client_ID [ TEXT ] events.Client_ID = client.client_id
reviews :
Date [ DATE ] primary_key
Stars [ INTEGER ]
Reviews [ TEXT ]
Product [ TEXT ]
district_id [ INTEGER ] reviews.district_id = district.district_id
Please write me a SQL statement that answers the following question: How many complaints were served in 5 minutes or less by DORIT and responded to the customer with an explanation, were made by phone? [/INST] | SELECT COUNT(T1.`Complaint ID`) FROM callcenterlogs AS T1 INNER JOIN events AS T2 ON T1.`Complaint ID` = T2.`Complaint ID` WHERE T1.ser_time < '00:05:00' AND T1.server = 'DORIT' AND T2.`Submitted via` = 'Phone' AND T2.`Company response to consumer` = 'Closed with explanation'; |
[INST] Here is a database schema:
state :
StateCode [ TEXT ] primary_key
State [ TEXT ]
Region [ TEXT ]
callcenterlogs :
Date received [ DATE ]
Complaint ID [ TEXT ] primary_key
rand client [ TEXT ] callcenterlogs.rand client = client.client_id
phonefinal [ TEXT ]
vru+line [ TEXT ]
call_id [ INTEGER ]
priority [ INTEGER ]
type [ TEXT ]
outcome [ TEXT ]
server [ TEXT ]
ser_start [ TEXT ]
ser_exit [ TEXT ]
ser_time [ TEXT ]
client :
client_id [ TEXT ] primary_key
sex [ TEXT ]
day [ INTEGER ]
month [ INTEGER ]
year [ INTEGER ]
age [ INTEGER ]
social [ TEXT ]
first [ TEXT ]
middle [ TEXT ]
last [ TEXT ]
phone [ TEXT ]
email [ TEXT ]
address_1 [ TEXT ]
address_2 [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zipcode [ INTEGER ]
district_id [ INTEGER ] client.district_id = district.district_id
district :
district_id [ INTEGER ] primary_key
city [ TEXT ]
state_abbrev [ TEXT ] district.state_abbrev = state.StateCode
division [ TEXT ]
events :
Date received [ DATE ]
Product [ TEXT ]
Sub-product [ TEXT ]
Issue [ TEXT ]
Sub-issue [ TEXT ]
Consumer complaint narrative [ TEXT ]
Tags [ TEXT ]
Consumer consent provided? [ TEXT ]
Submitted via [ TEXT ]
Date sent to company [ TEXT ]
Company response to consumer [ TEXT ]
Timely response? [ TEXT ]
Consumer disputed? [ TEXT ]
Complaint ID [ TEXT ] events.Complaint ID = callcenterlogs.Complaint ID
Client_ID [ TEXT ] events.Client_ID = client.client_id
reviews :
Date [ DATE ] primary_key
Stars [ INTEGER ]
Reviews [ TEXT ]
Product [ TEXT ]
district_id [ INTEGER ] reviews.district_id = district.district_id
Please write me a SQL statement that answers the following question: How many clients with the last name Alvarado are from Maryland? [/INST] | SELECT COUNT(T2.client_id) FROM district AS T1 INNER JOIN client AS T2 ON T1.district_id = T2.district_id INNER JOIN state AS T3 ON T1.state_abbrev = T3.StateCode WHERE T2.last = 'Alvarado' AND T2.state = 'MD'; |
[INST] Here is a database schema:
state :
StateCode [ TEXT ] primary_key
State [ TEXT ]
Region [ TEXT ]
callcenterlogs :
Date received [ DATE ]
Complaint ID [ TEXT ] primary_key
rand client [ TEXT ] callcenterlogs.rand client = client.client_id
phonefinal [ TEXT ]
vru+line [ TEXT ]
call_id [ INTEGER ]
priority [ INTEGER ]
type [ TEXT ]
outcome [ TEXT ]
server [ TEXT ]
ser_start [ TEXT ]
ser_exit [ TEXT ]
ser_time [ TEXT ]
client :
client_id [ TEXT ] primary_key
sex [ TEXT ]
day [ INTEGER ]
month [ INTEGER ]
year [ INTEGER ]
age [ INTEGER ]
social [ TEXT ]
first [ TEXT ]
middle [ TEXT ]
last [ TEXT ]
phone [ TEXT ]
email [ TEXT ]
address_1 [ TEXT ]
address_2 [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zipcode [ INTEGER ]
district_id [ INTEGER ] client.district_id = district.district_id
district :
district_id [ INTEGER ] primary_key
city [ TEXT ]
state_abbrev [ TEXT ] district.state_abbrev = state.StateCode
division [ TEXT ]
events :
Date received [ DATE ]
Product [ TEXT ]
Sub-product [ TEXT ]
Issue [ TEXT ]
Sub-issue [ TEXT ]
Consumer complaint narrative [ TEXT ]
Tags [ TEXT ]
Consumer consent provided? [ TEXT ]
Submitted via [ TEXT ]
Date sent to company [ TEXT ]
Company response to consumer [ TEXT ]
Timely response? [ TEXT ]
Consumer disputed? [ TEXT ]
Complaint ID [ TEXT ] events.Complaint ID = callcenterlogs.Complaint ID
Client_ID [ TEXT ] events.Client_ID = client.client_id
reviews :
Date [ DATE ] primary_key
Stars [ INTEGER ]
Reviews [ TEXT ]
Product [ TEXT ]
district_id [ INTEGER ] reviews.district_id = district.district_id
Please write me a SQL statement that answers the following question: How many reviews by people between 30 and 50 years include the word 'great'? [/INST] | SELECT COUNT(T1.Reviews) FROM reviews AS T1 INNER JOIN client AS T2 ON T1.district_id = T2.district_id WHERE T2.age BETWEEN 30 AND 50 AND T1.Reviews LIKE '%great%'; |
[INST] Here is a database schema:
state :
StateCode [ TEXT ] primary_key
State [ TEXT ]
Region [ TEXT ]
callcenterlogs :
Date received [ DATE ]
Complaint ID [ TEXT ] primary_key
rand client [ TEXT ] callcenterlogs.rand client = client.client_id
phonefinal [ TEXT ]
vru+line [ TEXT ]
call_id [ INTEGER ]
priority [ INTEGER ]
type [ TEXT ]
outcome [ TEXT ]
server [ TEXT ]
ser_start [ TEXT ]
ser_exit [ TEXT ]
ser_time [ TEXT ]
client :
client_id [ TEXT ] primary_key
sex [ TEXT ]
day [ INTEGER ]
month [ INTEGER ]
year [ INTEGER ]
age [ INTEGER ]
social [ TEXT ]
first [ TEXT ]
middle [ TEXT ]
last [ TEXT ]
phone [ TEXT ]
email [ TEXT ]
address_1 [ TEXT ]
address_2 [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zipcode [ INTEGER ]
district_id [ INTEGER ] client.district_id = district.district_id
district :
district_id [ INTEGER ] primary_key
city [ TEXT ]
state_abbrev [ TEXT ] district.state_abbrev = state.StateCode
division [ TEXT ]
events :
Date received [ DATE ]
Product [ TEXT ]
Sub-product [ TEXT ]
Issue [ TEXT ]
Sub-issue [ TEXT ]
Consumer complaint narrative [ TEXT ]
Tags [ TEXT ]
Consumer consent provided? [ TEXT ]
Submitted via [ TEXT ]
Date sent to company [ TEXT ]
Company response to consumer [ TEXT ]
Timely response? [ TEXT ]
Consumer disputed? [ TEXT ]
Complaint ID [ TEXT ] events.Complaint ID = callcenterlogs.Complaint ID
Client_ID [ TEXT ] events.Client_ID = client.client_id
reviews :
Date [ DATE ] primary_key
Stars [ INTEGER ]
Reviews [ TEXT ]
Product [ TEXT ]
district_id [ INTEGER ] reviews.district_id = district.district_id
Please write me a SQL statement that answers the following question: What is the full address of the customers who, having received a timely response from the company, have dispute about that response? [/INST] | SELECT T1.address_1, T1.address_2 FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T2.`Timely response?` = 'Yes' AND T2.`Consumer disputed?` = 'Yes'; |
[INST] Here is a database schema:
state :
StateCode [ TEXT ] primary_key
State [ TEXT ]
Region [ TEXT ]
callcenterlogs :
Date received [ DATE ]
Complaint ID [ TEXT ] primary_key
rand client [ TEXT ] callcenterlogs.rand client = client.client_id
phonefinal [ TEXT ]
vru+line [ TEXT ]
call_id [ INTEGER ]
priority [ INTEGER ]
type [ TEXT ]
outcome [ TEXT ]
server [ TEXT ]
ser_start [ TEXT ]
ser_exit [ TEXT ]
ser_time [ TEXT ]
client :
client_id [ TEXT ] primary_key
sex [ TEXT ]
day [ INTEGER ]
month [ INTEGER ]
year [ INTEGER ]
age [ INTEGER ]
social [ TEXT ]
first [ TEXT ]
middle [ TEXT ]
last [ TEXT ]
phone [ TEXT ]
email [ TEXT ]
address_1 [ TEXT ]
address_2 [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zipcode [ INTEGER ]
district_id [ INTEGER ] client.district_id = district.district_id
district :
district_id [ INTEGER ] primary_key
city [ TEXT ]
state_abbrev [ TEXT ] district.state_abbrev = state.StateCode
division [ TEXT ]
events :
Date received [ DATE ]
Product [ TEXT ]
Sub-product [ TEXT ]
Issue [ TEXT ]
Sub-issue [ TEXT ]
Consumer complaint narrative [ TEXT ]
Tags [ TEXT ]
Consumer consent provided? [ TEXT ]
Submitted via [ TEXT ]
Date sent to company [ TEXT ]
Company response to consumer [ TEXT ]
Timely response? [ TEXT ]
Consumer disputed? [ TEXT ]
Complaint ID [ TEXT ] events.Complaint ID = callcenterlogs.Complaint ID
Client_ID [ TEXT ] events.Client_ID = client.client_id
reviews :
Date [ DATE ] primary_key
Stars [ INTEGER ]
Reviews [ TEXT ]
Product [ TEXT ]
district_id [ INTEGER ] reviews.district_id = district.district_id
Please write me a SQL statement that answers the following question: How many complaints from female clients born in the year 2000 were not sent through the web? [/INST] | SELECT COUNT(T2.`Submitted via`) FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T1.sex = 'Female' AND T1.year = 2000 AND T2.`Submitted via` != 'Web'; |
[INST] Here is a database schema:
state :
StateCode [ TEXT ] primary_key
State [ TEXT ]
Region [ TEXT ]
callcenterlogs :
Date received [ DATE ]
Complaint ID [ TEXT ] primary_key
rand client [ TEXT ] callcenterlogs.rand client = client.client_id
phonefinal [ TEXT ]
vru+line [ TEXT ]
call_id [ INTEGER ]
priority [ INTEGER ]
type [ TEXT ]
outcome [ TEXT ]
server [ TEXT ]
ser_start [ TEXT ]
ser_exit [ TEXT ]
ser_time [ TEXT ]
client :
client_id [ TEXT ] primary_key
sex [ TEXT ]
day [ INTEGER ]
month [ INTEGER ]
year [ INTEGER ]
age [ INTEGER ]
social [ TEXT ]
first [ TEXT ]
middle [ TEXT ]
last [ TEXT ]
phone [ TEXT ]
email [ TEXT ]
address_1 [ TEXT ]
address_2 [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zipcode [ INTEGER ]
district_id [ INTEGER ] client.district_id = district.district_id
district :
district_id [ INTEGER ] primary_key
city [ TEXT ]
state_abbrev [ TEXT ] district.state_abbrev = state.StateCode
division [ TEXT ]
events :
Date received [ DATE ]
Product [ TEXT ]
Sub-product [ TEXT ]
Issue [ TEXT ]
Sub-issue [ TEXT ]
Consumer complaint narrative [ TEXT ]
Tags [ TEXT ]
Consumer consent provided? [ TEXT ]
Submitted via [ TEXT ]
Date sent to company [ TEXT ]
Company response to consumer [ TEXT ]
Timely response? [ TEXT ]
Consumer disputed? [ TEXT ]
Complaint ID [ TEXT ] events.Complaint ID = callcenterlogs.Complaint ID
Client_ID [ TEXT ] events.Client_ID = client.client_id
reviews :
Date [ DATE ] primary_key
Stars [ INTEGER ]
Reviews [ TEXT ]
Product [ TEXT ]
district_id [ INTEGER ] reviews.district_id = district.district_id
Please write me a SQL statement that answers the following question: List all the complaints narratives made by the customer named Brenda and last name Mayer. [/INST] | SELECT T2.`Consumer complaint narrative` FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T1.first = 'Brenda' AND T1.last = 'Mayer'; |
[INST] Here is a database schema:
state :
StateCode [ TEXT ] primary_key
State [ TEXT ]
Region [ TEXT ]
callcenterlogs :
Date received [ DATE ]
Complaint ID [ TEXT ] primary_key
rand client [ TEXT ] callcenterlogs.rand client = client.client_id
phonefinal [ TEXT ]
vru+line [ TEXT ]
call_id [ INTEGER ]
priority [ INTEGER ]
type [ TEXT ]
outcome [ TEXT ]
server [ TEXT ]
ser_start [ TEXT ]
ser_exit [ TEXT ]
ser_time [ TEXT ]
client :
client_id [ TEXT ] primary_key
sex [ TEXT ]
day [ INTEGER ]
month [ INTEGER ]
year [ INTEGER ]
age [ INTEGER ]
social [ TEXT ]
first [ TEXT ]
middle [ TEXT ]
last [ TEXT ]
phone [ TEXT ]
email [ TEXT ]
address_1 [ TEXT ]
address_2 [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zipcode [ INTEGER ]
district_id [ INTEGER ] client.district_id = district.district_id
district :
district_id [ INTEGER ] primary_key
city [ TEXT ]
state_abbrev [ TEXT ] district.state_abbrev = state.StateCode
division [ TEXT ]
events :
Date received [ DATE ]
Product [ TEXT ]
Sub-product [ TEXT ]
Issue [ TEXT ]
Sub-issue [ TEXT ]
Consumer complaint narrative [ TEXT ]
Tags [ TEXT ]
Consumer consent provided? [ TEXT ]
Submitted via [ TEXT ]
Date sent to company [ TEXT ]
Company response to consumer [ TEXT ]
Timely response? [ TEXT ]
Consumer disputed? [ TEXT ]
Complaint ID [ TEXT ] events.Complaint ID = callcenterlogs.Complaint ID
Client_ID [ TEXT ] events.Client_ID = client.client_id
reviews :
Date [ DATE ] primary_key
Stars [ INTEGER ]
Reviews [ TEXT ]
Product [ TEXT ]
district_id [ INTEGER ] reviews.district_id = district.district_id
Please write me a SQL statement that answers the following question: How many complaints from customers with a gmail.com email were received by the company in February 2017? [/INST] | SELECT COUNT(T1.email) FROM client AS T1 INNER JOIN callcenterlogs AS T2 ON T1.client_id = T2.`rand client` WHERE (T2.`Date received` LIKE '2017-02%' OR T2.`Date received` LIKE '2017-01%') AND T1.email LIKE '%@gmail.com'; |
[INST] Here is a database schema:
state :
StateCode [ TEXT ] primary_key
State [ TEXT ]
Region [ TEXT ]
callcenterlogs :
Date received [ DATE ]
Complaint ID [ TEXT ] primary_key
rand client [ TEXT ] callcenterlogs.rand client = client.client_id
phonefinal [ TEXT ]
vru+line [ TEXT ]
call_id [ INTEGER ]
priority [ INTEGER ]
type [ TEXT ]
outcome [ TEXT ]
server [ TEXT ]
ser_start [ TEXT ]
ser_exit [ TEXT ]
ser_time [ TEXT ]
client :
client_id [ TEXT ] primary_key
sex [ TEXT ]
day [ INTEGER ]
month [ INTEGER ]
year [ INTEGER ]
age [ INTEGER ]
social [ TEXT ]
first [ TEXT ]
middle [ TEXT ]
last [ TEXT ]
phone [ TEXT ]
email [ TEXT ]
address_1 [ TEXT ]
address_2 [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zipcode [ INTEGER ]
district_id [ INTEGER ] client.district_id = district.district_id
district :
district_id [ INTEGER ] primary_key
city [ TEXT ]
state_abbrev [ TEXT ] district.state_abbrev = state.StateCode
division [ TEXT ]
events :
Date received [ DATE ]
Product [ TEXT ]
Sub-product [ TEXT ]
Issue [ TEXT ]
Sub-issue [ TEXT ]
Consumer complaint narrative [ TEXT ]
Tags [ TEXT ]
Consumer consent provided? [ TEXT ]
Submitted via [ TEXT ]
Date sent to company [ TEXT ]
Company response to consumer [ TEXT ]
Timely response? [ TEXT ]
Consumer disputed? [ TEXT ]
Complaint ID [ TEXT ] events.Complaint ID = callcenterlogs.Complaint ID
Client_ID [ TEXT ] events.Client_ID = client.client_id
reviews :
Date [ DATE ] primary_key
Stars [ INTEGER ]
Reviews [ TEXT ]
Product [ TEXT ]
district_id [ INTEGER ] reviews.district_id = district.district_id
Please write me a SQL statement that answers the following question: What is the average number of stars given by Oregon clients in their reviews? [/INST] | SELECT CAST(SUM(T3.Stars) AS REAL) / COUNT(T3.Stars) AS average FROM state AS T1 INNER JOIN district AS T2 ON T1.StateCode = T2.state_abbrev INNER JOIN reviews AS T3 ON T2.district_id = T3.district_id WHERE T1.State = 'Oregon'; |
[INST] Here is a database schema:
state :
StateCode [ TEXT ] primary_key
State [ TEXT ]
Region [ TEXT ]
callcenterlogs :
Date received [ DATE ]
Complaint ID [ TEXT ] primary_key
rand client [ TEXT ] callcenterlogs.rand client = client.client_id
phonefinal [ TEXT ]
vru+line [ TEXT ]
call_id [ INTEGER ]
priority [ INTEGER ]
type [ TEXT ]
outcome [ TEXT ]
server [ TEXT ]
ser_start [ TEXT ]
ser_exit [ TEXT ]
ser_time [ TEXT ]
client :
client_id [ TEXT ] primary_key
sex [ TEXT ]
day [ INTEGER ]
month [ INTEGER ]
year [ INTEGER ]
age [ INTEGER ]
social [ TEXT ]
first [ TEXT ]
middle [ TEXT ]
last [ TEXT ]
phone [ TEXT ]
email [ TEXT ]
address_1 [ TEXT ]
address_2 [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zipcode [ INTEGER ]
district_id [ INTEGER ] client.district_id = district.district_id
district :
district_id [ INTEGER ] primary_key
city [ TEXT ]
state_abbrev [ TEXT ] district.state_abbrev = state.StateCode
division [ TEXT ]
events :
Date received [ DATE ]
Product [ TEXT ]
Sub-product [ TEXT ]
Issue [ TEXT ]
Sub-issue [ TEXT ]
Consumer complaint narrative [ TEXT ]
Tags [ TEXT ]
Consumer consent provided? [ TEXT ]
Submitted via [ TEXT ]
Date sent to company [ TEXT ]
Company response to consumer [ TEXT ]
Timely response? [ TEXT ]
Consumer disputed? [ TEXT ]
Complaint ID [ TEXT ] events.Complaint ID = callcenterlogs.Complaint ID
Client_ID [ TEXT ] events.Client_ID = client.client_id
reviews :
Date [ DATE ] primary_key
Stars [ INTEGER ]
Reviews [ TEXT ]
Product [ TEXT ]
district_id [ INTEGER ] reviews.district_id = district.district_id
Please write me a SQL statement that answers the following question: What percentage of clients who sent their complaints by postal mail are age 50 and older? [/INST] | SELECT CAST(SUM(CASE WHEN T1.age > 50 THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T2.`Submitted via`) FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T2.`Submitted via` = 'Postal mail'; |
[INST] Here is a database schema:
state :
StateCode [ TEXT ] primary_key
State [ TEXT ]
Region [ TEXT ]
callcenterlogs :
Date received [ DATE ]
Complaint ID [ TEXT ] primary_key
rand client [ TEXT ] callcenterlogs.rand client = client.client_id
phonefinal [ TEXT ]
vru+line [ TEXT ]
call_id [ INTEGER ]
priority [ INTEGER ]
type [ TEXT ]
outcome [ TEXT ]
server [ TEXT ]
ser_start [ TEXT ]
ser_exit [ TEXT ]
ser_time [ TEXT ]
client :
client_id [ TEXT ] primary_key
sex [ TEXT ]
day [ INTEGER ]
month [ INTEGER ]
year [ INTEGER ]
age [ INTEGER ]
social [ TEXT ]
first [ TEXT ]
middle [ TEXT ]
last [ TEXT ]
phone [ TEXT ]
email [ TEXT ]
address_1 [ TEXT ]
address_2 [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zipcode [ INTEGER ]
district_id [ INTEGER ] client.district_id = district.district_id
district :
district_id [ INTEGER ] primary_key
city [ TEXT ]
state_abbrev [ TEXT ] district.state_abbrev = state.StateCode
division [ TEXT ]
events :
Date received [ DATE ]
Product [ TEXT ]
Sub-product [ TEXT ]
Issue [ TEXT ]
Sub-issue [ TEXT ]
Consumer complaint narrative [ TEXT ]
Tags [ TEXT ]
Consumer consent provided? [ TEXT ]
Submitted via [ TEXT ]
Date sent to company [ TEXT ]
Company response to consumer [ TEXT ]
Timely response? [ TEXT ]
Consumer disputed? [ TEXT ]
Complaint ID [ TEXT ] events.Complaint ID = callcenterlogs.Complaint ID
Client_ID [ TEXT ] events.Client_ID = client.client_id
reviews :
Date [ DATE ] primary_key
Stars [ INTEGER ]
Reviews [ TEXT ]
Product [ TEXT ]
district_id [ INTEGER ] reviews.district_id = district.district_id
Please write me a SQL statement that answers the following question: What is the average age of Norwalk clients? [/INST] | SELECT CAST(SUM(T1.age) AS REAL) / COUNT(T1.age) AS average FROM client AS T1 INNER JOIN district AS T2 ON T1.district_id = T2.district_id WHERE T2.city = 'Norwalk'; |
[INST] Here is a database schema:
state :
StateCode [ TEXT ] primary_key
State [ TEXT ]
Region [ TEXT ]
callcenterlogs :
Date received [ DATE ]
Complaint ID [ TEXT ] primary_key
rand client [ TEXT ] callcenterlogs.rand client = client.client_id
phonefinal [ TEXT ]
vru+line [ TEXT ]
call_id [ INTEGER ]
priority [ INTEGER ]
type [ TEXT ]
outcome [ TEXT ]
server [ TEXT ]
ser_start [ TEXT ]
ser_exit [ TEXT ]
ser_time [ TEXT ]
client :
client_id [ TEXT ] primary_key
sex [ TEXT ]
day [ INTEGER ]
month [ INTEGER ]
year [ INTEGER ]
age [ INTEGER ]
social [ TEXT ]
first [ TEXT ]
middle [ TEXT ]
last [ TEXT ]
phone [ TEXT ]
email [ TEXT ]
address_1 [ TEXT ]
address_2 [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zipcode [ INTEGER ]
district_id [ INTEGER ] client.district_id = district.district_id
district :
district_id [ INTEGER ] primary_key
city [ TEXT ]
state_abbrev [ TEXT ] district.state_abbrev = state.StateCode
division [ TEXT ]
events :
Date received [ DATE ]
Product [ TEXT ]
Sub-product [ TEXT ]
Issue [ TEXT ]
Sub-issue [ TEXT ]
Consumer complaint narrative [ TEXT ]
Tags [ TEXT ]
Consumer consent provided? [ TEXT ]
Submitted via [ TEXT ]
Date sent to company [ TEXT ]
Company response to consumer [ TEXT ]
Timely response? [ TEXT ]
Consumer disputed? [ TEXT ]
Complaint ID [ TEXT ] events.Complaint ID = callcenterlogs.Complaint ID
Client_ID [ TEXT ] events.Client_ID = client.client_id
reviews :
Date [ DATE ] primary_key
Stars [ INTEGER ]
Reviews [ TEXT ]
Product [ TEXT ]
district_id [ INTEGER ] reviews.district_id = district.district_id
Please write me a SQL statement that answers the following question: How many clients who live in Kansas City provided a 1-star review? [/INST] | SELECT COUNT(T1.Stars) FROM reviews AS T1 INNER JOIN district AS T2 ON T1.district_id = T2.district_id WHERE T2.city = 'Kansas City' AND T1.Stars = 1; |
[INST] Here is a database schema:
state :
StateCode [ TEXT ] primary_key
State [ TEXT ]
Region [ TEXT ]
callcenterlogs :
Date received [ DATE ]
Complaint ID [ TEXT ] primary_key
rand client [ TEXT ] callcenterlogs.rand client = client.client_id
phonefinal [ TEXT ]
vru+line [ TEXT ]
call_id [ INTEGER ]
priority [ INTEGER ]
type [ TEXT ]
outcome [ TEXT ]
server [ TEXT ]
ser_start [ TEXT ]
ser_exit [ TEXT ]
ser_time [ TEXT ]
client :
client_id [ TEXT ] primary_key
sex [ TEXT ]
day [ INTEGER ]
month [ INTEGER ]
year [ INTEGER ]
age [ INTEGER ]
social [ TEXT ]
first [ TEXT ]
middle [ TEXT ]
last [ TEXT ]
phone [ TEXT ]
email [ TEXT ]
address_1 [ TEXT ]
address_2 [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zipcode [ INTEGER ]
district_id [ INTEGER ] client.district_id = district.district_id
district :
district_id [ INTEGER ] primary_key
city [ TEXT ]
state_abbrev [ TEXT ] district.state_abbrev = state.StateCode
division [ TEXT ]
events :
Date received [ DATE ]
Product [ TEXT ]
Sub-product [ TEXT ]
Issue [ TEXT ]
Sub-issue [ TEXT ]
Consumer complaint narrative [ TEXT ]
Tags [ TEXT ]
Consumer consent provided? [ TEXT ]
Submitted via [ TEXT ]
Date sent to company [ TEXT ]
Company response to consumer [ TEXT ]
Timely response? [ TEXT ]
Consumer disputed? [ TEXT ]
Complaint ID [ TEXT ] events.Complaint ID = callcenterlogs.Complaint ID
Client_ID [ TEXT ] events.Client_ID = client.client_id
reviews :
Date [ DATE ] primary_key
Stars [ INTEGER ]
Reviews [ TEXT ]
Product [ TEXT ]
district_id [ INTEGER ] reviews.district_id = district.district_id
Please write me a SQL statement that answers the following question: Which state has the highest number of clients who gave a 5-star review? [/INST] | SELECT T2.state_abbrev FROM reviews AS T1 INNER JOIN district AS T2 ON T1.district_id = T2.district_id WHERE T1.Stars = 5 GROUP BY T2.state_abbrev ORDER BY COUNT(T2.state_abbrev) DESC LIMIT 1; |
[INST] Here is a database schema:
state :
StateCode [ TEXT ] primary_key
State [ TEXT ]
Region [ TEXT ]
callcenterlogs :
Date received [ DATE ]
Complaint ID [ TEXT ] primary_key
rand client [ TEXT ] callcenterlogs.rand client = client.client_id
phonefinal [ TEXT ]
vru+line [ TEXT ]
call_id [ INTEGER ]
priority [ INTEGER ]
type [ TEXT ]
outcome [ TEXT ]
server [ TEXT ]
ser_start [ TEXT ]
ser_exit [ TEXT ]
ser_time [ TEXT ]
client :
client_id [ TEXT ] primary_key
sex [ TEXT ]
day [ INTEGER ]
month [ INTEGER ]
year [ INTEGER ]
age [ INTEGER ]
social [ TEXT ]
first [ TEXT ]
middle [ TEXT ]
last [ TEXT ]
phone [ TEXT ]
email [ TEXT ]
address_1 [ TEXT ]
address_2 [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zipcode [ INTEGER ]
district_id [ INTEGER ] client.district_id = district.district_id
district :
district_id [ INTEGER ] primary_key
city [ TEXT ]
state_abbrev [ TEXT ] district.state_abbrev = state.StateCode
division [ TEXT ]
events :
Date received [ DATE ]
Product [ TEXT ]
Sub-product [ TEXT ]
Issue [ TEXT ]
Sub-issue [ TEXT ]
Consumer complaint narrative [ TEXT ]
Tags [ TEXT ]
Consumer consent provided? [ TEXT ]
Submitted via [ TEXT ]
Date sent to company [ TEXT ]
Company response to consumer [ TEXT ]
Timely response? [ TEXT ]
Consumer disputed? [ TEXT ]
Complaint ID [ TEXT ] events.Complaint ID = callcenterlogs.Complaint ID
Client_ID [ TEXT ] events.Client_ID = client.client_id
reviews :
Date [ DATE ] primary_key
Stars [ INTEGER ]
Reviews [ TEXT ]
Product [ TEXT ]
district_id [ INTEGER ] reviews.district_id = district.district_id
Please write me a SQL statement that answers the following question: Which region does Noah Thompson live in? [/INST] | SELECT T2.division FROM client AS T1 INNER JOIN district AS T2 ON T1.district_id = T2.district_id WHERE T1.first = 'Noah' AND T1.last = 'Thompson'; |
[INST] Here is a database schema:
state :
StateCode [ TEXT ] primary_key
State [ TEXT ]
Region [ TEXT ]
callcenterlogs :
Date received [ DATE ]
Complaint ID [ TEXT ] primary_key
rand client [ TEXT ] callcenterlogs.rand client = client.client_id
phonefinal [ TEXT ]
vru+line [ TEXT ]
call_id [ INTEGER ]
priority [ INTEGER ]
type [ TEXT ]
outcome [ TEXT ]
server [ TEXT ]
ser_start [ TEXT ]
ser_exit [ TEXT ]
ser_time [ TEXT ]
client :
client_id [ TEXT ] primary_key
sex [ TEXT ]
day [ INTEGER ]
month [ INTEGER ]
year [ INTEGER ]
age [ INTEGER ]
social [ TEXT ]
first [ TEXT ]
middle [ TEXT ]
last [ TEXT ]
phone [ TEXT ]
email [ TEXT ]
address_1 [ TEXT ]
address_2 [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zipcode [ INTEGER ]
district_id [ INTEGER ] client.district_id = district.district_id
district :
district_id [ INTEGER ] primary_key
city [ TEXT ]
state_abbrev [ TEXT ] district.state_abbrev = state.StateCode
division [ TEXT ]
events :
Date received [ DATE ]
Product [ TEXT ]
Sub-product [ TEXT ]
Issue [ TEXT ]
Sub-issue [ TEXT ]
Consumer complaint narrative [ TEXT ]
Tags [ TEXT ]
Consumer consent provided? [ TEXT ]
Submitted via [ TEXT ]
Date sent to company [ TEXT ]
Company response to consumer [ TEXT ]
Timely response? [ TEXT ]
Consumer disputed? [ TEXT ]
Complaint ID [ TEXT ] events.Complaint ID = callcenterlogs.Complaint ID
Client_ID [ TEXT ] events.Client_ID = client.client_id
reviews :
Date [ DATE ] primary_key
Stars [ INTEGER ]
Reviews [ TEXT ]
Product [ TEXT ]
district_id [ INTEGER ] reviews.district_id = district.district_id
Please write me a SQL statement that answers the following question: How did Kyran Muller submit his complaint? [/INST] | SELECT DISTINCT T2.`Submitted via` FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T1.first = 'Kyran' AND T1.last = 'Muller'; |
[INST] Here is a database schema:
state :
StateCode [ TEXT ] primary_key
State [ TEXT ]
Region [ TEXT ]
callcenterlogs :
Date received [ DATE ]
Complaint ID [ TEXT ] primary_key
rand client [ TEXT ] callcenterlogs.rand client = client.client_id
phonefinal [ TEXT ]
vru+line [ TEXT ]
call_id [ INTEGER ]
priority [ INTEGER ]
type [ TEXT ]
outcome [ TEXT ]
server [ TEXT ]
ser_start [ TEXT ]
ser_exit [ TEXT ]
ser_time [ TEXT ]
client :
client_id [ TEXT ] primary_key
sex [ TEXT ]
day [ INTEGER ]
month [ INTEGER ]
year [ INTEGER ]
age [ INTEGER ]
social [ TEXT ]
first [ TEXT ]
middle [ TEXT ]
last [ TEXT ]
phone [ TEXT ]
email [ TEXT ]
address_1 [ TEXT ]
address_2 [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zipcode [ INTEGER ]
district_id [ INTEGER ] client.district_id = district.district_id
district :
district_id [ INTEGER ] primary_key
city [ TEXT ]
state_abbrev [ TEXT ] district.state_abbrev = state.StateCode
division [ TEXT ]
events :
Date received [ DATE ]
Product [ TEXT ]
Sub-product [ TEXT ]
Issue [ TEXT ]
Sub-issue [ TEXT ]
Consumer complaint narrative [ TEXT ]
Tags [ TEXT ]
Consumer consent provided? [ TEXT ]
Submitted via [ TEXT ]
Date sent to company [ TEXT ]
Company response to consumer [ TEXT ]
Timely response? [ TEXT ]
Consumer disputed? [ TEXT ]
Complaint ID [ TEXT ] events.Complaint ID = callcenterlogs.Complaint ID
Client_ID [ TEXT ] events.Client_ID = client.client_id
reviews :
Date [ DATE ] primary_key
Stars [ INTEGER ]
Reviews [ TEXT ]
Product [ TEXT ]
district_id [ INTEGER ] reviews.district_id = district.district_id
Please write me a SQL statement that answers the following question: What are the products that people who were born after 2005 complain about? [/INST] | SELECT DISTINCT T2.Product FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T1.year > 2005; |
[INST] Here is a database schema:
state :
StateCode [ TEXT ] primary_key
State [ TEXT ]
Region [ TEXT ]
callcenterlogs :
Date received [ DATE ]
Complaint ID [ TEXT ] primary_key
rand client [ TEXT ] callcenterlogs.rand client = client.client_id
phonefinal [ TEXT ]
vru+line [ TEXT ]
call_id [ INTEGER ]
priority [ INTEGER ]
type [ TEXT ]
outcome [ TEXT ]
server [ TEXT ]
ser_start [ TEXT ]
ser_exit [ TEXT ]
ser_time [ TEXT ]
client :
client_id [ TEXT ] primary_key
sex [ TEXT ]
day [ INTEGER ]
month [ INTEGER ]
year [ INTEGER ]
age [ INTEGER ]
social [ TEXT ]
first [ TEXT ]
middle [ TEXT ]
last [ TEXT ]
phone [ TEXT ]
email [ TEXT ]
address_1 [ TEXT ]
address_2 [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zipcode [ INTEGER ]
district_id [ INTEGER ] client.district_id = district.district_id
district :
district_id [ INTEGER ] primary_key
city [ TEXT ]
state_abbrev [ TEXT ] district.state_abbrev = state.StateCode
division [ TEXT ]
events :
Date received [ DATE ]
Product [ TEXT ]
Sub-product [ TEXT ]
Issue [ TEXT ]
Sub-issue [ TEXT ]
Consumer complaint narrative [ TEXT ]
Tags [ TEXT ]
Consumer consent provided? [ TEXT ]
Submitted via [ TEXT ]
Date sent to company [ TEXT ]
Company response to consumer [ TEXT ]
Timely response? [ TEXT ]
Consumer disputed? [ TEXT ]
Complaint ID [ TEXT ] events.Complaint ID = callcenterlogs.Complaint ID
Client_ID [ TEXT ] events.Client_ID = client.client_id
reviews :
Date [ DATE ] primary_key
Stars [ INTEGER ]
Reviews [ TEXT ]
Product [ TEXT ]
district_id [ INTEGER ] reviews.district_id = district.district_id
Please write me a SQL statement that answers the following question: How long was Kendall Allen's complaint about her credit card? [/INST] | SELECT T3.ser_time FROM events AS T1 INNER JOIN client AS T2 ON T1.Client_ID = T2.client_id INNER JOIN callcenterlogs AS T3 ON T1.`Complaint ID` = T3.`Complaint ID` WHERE T2.first = 'Kendall' AND T2.last = 'Allen' AND T2.sex = 'Female' AND T1.Product = 'Credit card'; |
[INST] Here is a database schema:
state :
StateCode [ TEXT ] primary_key
State [ TEXT ]
Region [ TEXT ]
callcenterlogs :
Date received [ DATE ]
Complaint ID [ TEXT ] primary_key
rand client [ TEXT ] callcenterlogs.rand client = client.client_id
phonefinal [ TEXT ]
vru+line [ TEXT ]
call_id [ INTEGER ]
priority [ INTEGER ]
type [ TEXT ]
outcome [ TEXT ]
server [ TEXT ]
ser_start [ TEXT ]
ser_exit [ TEXT ]
ser_time [ TEXT ]
client :
client_id [ TEXT ] primary_key
sex [ TEXT ]
day [ INTEGER ]
month [ INTEGER ]
year [ INTEGER ]
age [ INTEGER ]
social [ TEXT ]
first [ TEXT ]
middle [ TEXT ]
last [ TEXT ]
phone [ TEXT ]
email [ TEXT ]
address_1 [ TEXT ]
address_2 [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zipcode [ INTEGER ]
district_id [ INTEGER ] client.district_id = district.district_id
district :
district_id [ INTEGER ] primary_key
city [ TEXT ]
state_abbrev [ TEXT ] district.state_abbrev = state.StateCode
division [ TEXT ]
events :
Date received [ DATE ]
Product [ TEXT ]
Sub-product [ TEXT ]
Issue [ TEXT ]
Sub-issue [ TEXT ]
Consumer complaint narrative [ TEXT ]
Tags [ TEXT ]
Consumer consent provided? [ TEXT ]
Submitted via [ TEXT ]
Date sent to company [ TEXT ]
Company response to consumer [ TEXT ]
Timely response? [ TEXT ]
Consumer disputed? [ TEXT ]
Complaint ID [ TEXT ] events.Complaint ID = callcenterlogs.Complaint ID
Client_ID [ TEXT ] events.Client_ID = client.client_id
reviews :
Date [ DATE ] primary_key
Stars [ INTEGER ]
Reviews [ TEXT ]
Product [ TEXT ]
district_id [ INTEGER ] reviews.district_id = district.district_id
Please write me a SQL statement that answers the following question: What was the issue that the client with the longest server time faced? [/INST] | SELECT T2.Issue FROM callcenterlogs AS T1 INNER JOIN events AS T2 ON T1.`Complaint ID` = T2.`Complaint ID` WHERE T1.ser_time = ( SELECT MAX(ser_time) FROM callcenterlogs ); |
[INST] Here is a database schema:
state :
StateCode [ TEXT ] primary_key
State [ TEXT ]
Region [ TEXT ]
callcenterlogs :
Date received [ DATE ]
Complaint ID [ TEXT ] primary_key
rand client [ TEXT ] callcenterlogs.rand client = client.client_id
phonefinal [ TEXT ]
vru+line [ TEXT ]
call_id [ INTEGER ]
priority [ INTEGER ]
type [ TEXT ]
outcome [ TEXT ]
server [ TEXT ]
ser_start [ TEXT ]
ser_exit [ TEXT ]
ser_time [ TEXT ]
client :
client_id [ TEXT ] primary_key
sex [ TEXT ]
day [ INTEGER ]
month [ INTEGER ]
year [ INTEGER ]
age [ INTEGER ]
social [ TEXT ]
first [ TEXT ]
middle [ TEXT ]
last [ TEXT ]
phone [ TEXT ]
email [ TEXT ]
address_1 [ TEXT ]
address_2 [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zipcode [ INTEGER ]
district_id [ INTEGER ] client.district_id = district.district_id
district :
district_id [ INTEGER ] primary_key
city [ TEXT ]
state_abbrev [ TEXT ] district.state_abbrev = state.StateCode
division [ TEXT ]
events :
Date received [ DATE ]
Product [ TEXT ]
Sub-product [ TEXT ]
Issue [ TEXT ]
Sub-issue [ TEXT ]
Consumer complaint narrative [ TEXT ]
Tags [ TEXT ]
Consumer consent provided? [ TEXT ]
Submitted via [ TEXT ]
Date sent to company [ TEXT ]
Company response to consumer [ TEXT ]
Timely response? [ TEXT ]
Consumer disputed? [ TEXT ]
Complaint ID [ TEXT ] events.Complaint ID = callcenterlogs.Complaint ID
Client_ID [ TEXT ] events.Client_ID = client.client_id
reviews :
Date [ DATE ] primary_key
Stars [ INTEGER ]
Reviews [ TEXT ]
Product [ TEXT ]
district_id [ INTEGER ] reviews.district_id = district.district_id
Please write me a SQL statement that answers the following question: How many clients who live in New York City submitted their complaints via fax? [/INST] | SELECT COUNT(T1.client_id) FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T1.city = 'New York City' AND T2.`Submitted via` = 'Fax'; |
[INST] Here is a database schema:
state :
StateCode [ TEXT ] primary_key
State [ TEXT ]
Region [ TEXT ]
callcenterlogs :
Date received [ DATE ]
Complaint ID [ TEXT ] primary_key
rand client [ TEXT ] callcenterlogs.rand client = client.client_id
phonefinal [ TEXT ]
vru+line [ TEXT ]
call_id [ INTEGER ]
priority [ INTEGER ]
type [ TEXT ]
outcome [ TEXT ]
server [ TEXT ]
ser_start [ TEXT ]
ser_exit [ TEXT ]
ser_time [ TEXT ]
client :
client_id [ TEXT ] primary_key
sex [ TEXT ]
day [ INTEGER ]
month [ INTEGER ]
year [ INTEGER ]
age [ INTEGER ]
social [ TEXT ]
first [ TEXT ]
middle [ TEXT ]
last [ TEXT ]
phone [ TEXT ]
email [ TEXT ]
address_1 [ TEXT ]
address_2 [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zipcode [ INTEGER ]
district_id [ INTEGER ] client.district_id = district.district_id
district :
district_id [ INTEGER ] primary_key
city [ TEXT ]
state_abbrev [ TEXT ] district.state_abbrev = state.StateCode
division [ TEXT ]
events :
Date received [ DATE ]
Product [ TEXT ]
Sub-product [ TEXT ]
Issue [ TEXT ]
Sub-issue [ TEXT ]
Consumer complaint narrative [ TEXT ]
Tags [ TEXT ]
Consumer consent provided? [ TEXT ]
Submitted via [ TEXT ]
Date sent to company [ TEXT ]
Company response to consumer [ TEXT ]
Timely response? [ TEXT ]
Consumer disputed? [ TEXT ]
Complaint ID [ TEXT ] events.Complaint ID = callcenterlogs.Complaint ID
Client_ID [ TEXT ] events.Client_ID = client.client_id
reviews :
Date [ DATE ] primary_key
Stars [ INTEGER ]
Reviews [ TEXT ]
Product [ TEXT ]
district_id [ INTEGER ] reviews.district_id = district.district_id
Please write me a SQL statement that answers the following question: What is the percentage of male clients complaining about their credit cards? [/INST] | SELECT CAST(SUM(CASE WHEN T1.sex = 'Male' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.sex) FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T2.Product = 'Credit card'; |
[INST] Here is a database schema:
state :
StateCode [ TEXT ] primary_key
State [ TEXT ]
Region [ TEXT ]
callcenterlogs :
Date received [ DATE ]
Complaint ID [ TEXT ] primary_key
rand client [ TEXT ] callcenterlogs.rand client = client.client_id
phonefinal [ TEXT ]
vru+line [ TEXT ]
call_id [ INTEGER ]
priority [ INTEGER ]
type [ TEXT ]
outcome [ TEXT ]
server [ TEXT ]
ser_start [ TEXT ]
ser_exit [ TEXT ]
ser_time [ TEXT ]
client :
client_id [ TEXT ] primary_key
sex [ TEXT ]
day [ INTEGER ]
month [ INTEGER ]
year [ INTEGER ]
age [ INTEGER ]
social [ TEXT ]
first [ TEXT ]
middle [ TEXT ]
last [ TEXT ]
phone [ TEXT ]
email [ TEXT ]
address_1 [ TEXT ]
address_2 [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zipcode [ INTEGER ]
district_id [ INTEGER ] client.district_id = district.district_id
district :
district_id [ INTEGER ] primary_key
city [ TEXT ]
state_abbrev [ TEXT ] district.state_abbrev = state.StateCode
division [ TEXT ]
events :
Date received [ DATE ]
Product [ TEXT ]
Sub-product [ TEXT ]
Issue [ TEXT ]
Sub-issue [ TEXT ]
Consumer complaint narrative [ TEXT ]
Tags [ TEXT ]
Consumer consent provided? [ TEXT ]
Submitted via [ TEXT ]
Date sent to company [ TEXT ]
Company response to consumer [ TEXT ]
Timely response? [ TEXT ]
Consumer disputed? [ TEXT ]
Complaint ID [ TEXT ] events.Complaint ID = callcenterlogs.Complaint ID
Client_ID [ TEXT ] events.Client_ID = client.client_id
reviews :
Date [ DATE ] primary_key
Stars [ INTEGER ]
Reviews [ TEXT ]
Product [ TEXT ]
district_id [ INTEGER ] reviews.district_id = district.district_id
Please write me a SQL statement that answers the following question: Please list any two clients with their full names who have been tagged as "Older American" by the company without seeking their permission. [/INST] | SELECT T1.first, T1.middle, T1.last FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T2.Tags = 'Older American' AND T2.`Consumer consent provided?` IN (NULL, 'N/A', '') LIMIT 2; |
[INST] Here is a database schema:
state :
StateCode [ TEXT ] primary_key
State [ TEXT ]
Region [ TEXT ]
callcenterlogs :
Date received [ DATE ]
Complaint ID [ TEXT ] primary_key
rand client [ TEXT ] callcenterlogs.rand client = client.client_id
phonefinal [ TEXT ]
vru+line [ TEXT ]
call_id [ INTEGER ]
priority [ INTEGER ]
type [ TEXT ]
outcome [ TEXT ]
server [ TEXT ]
ser_start [ TEXT ]
ser_exit [ TEXT ]
ser_time [ TEXT ]
client :
client_id [ TEXT ] primary_key
sex [ TEXT ]
day [ INTEGER ]
month [ INTEGER ]
year [ INTEGER ]
age [ INTEGER ]
social [ TEXT ]
first [ TEXT ]
middle [ TEXT ]
last [ TEXT ]
phone [ TEXT ]
email [ TEXT ]
address_1 [ TEXT ]
address_2 [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zipcode [ INTEGER ]
district_id [ INTEGER ] client.district_id = district.district_id
district :
district_id [ INTEGER ] primary_key
city [ TEXT ]
state_abbrev [ TEXT ] district.state_abbrev = state.StateCode
division [ TEXT ]
events :
Date received [ DATE ]
Product [ TEXT ]
Sub-product [ TEXT ]
Issue [ TEXT ]
Sub-issue [ TEXT ]
Consumer complaint narrative [ TEXT ]
Tags [ TEXT ]
Consumer consent provided? [ TEXT ]
Submitted via [ TEXT ]
Date sent to company [ TEXT ]
Company response to consumer [ TEXT ]
Timely response? [ TEXT ]
Consumer disputed? [ TEXT ]
Complaint ID [ TEXT ] events.Complaint ID = callcenterlogs.Complaint ID
Client_ID [ TEXT ] events.Client_ID = client.client_id
reviews :
Date [ DATE ] primary_key
Stars [ INTEGER ]
Reviews [ TEXT ]
Product [ TEXT ]
district_id [ INTEGER ] reviews.district_id = district.district_id
Please write me a SQL statement that answers the following question: What is the birth date of the youngest client? [/INST] | SELECT day, month, year FROM client ORDER BY year DESC, month DESC, day DESC LIMIT 1; |
[INST] Here is a database schema:
state :
StateCode [ TEXT ] primary_key
State [ TEXT ]
Region [ TEXT ]
callcenterlogs :
Date received [ DATE ]
Complaint ID [ TEXT ] primary_key
rand client [ TEXT ] callcenterlogs.rand client = client.client_id
phonefinal [ TEXT ]
vru+line [ TEXT ]
call_id [ INTEGER ]
priority [ INTEGER ]
type [ TEXT ]
outcome [ TEXT ]
server [ TEXT ]
ser_start [ TEXT ]
ser_exit [ TEXT ]
ser_time [ TEXT ]
client :
client_id [ TEXT ] primary_key
sex [ TEXT ]
day [ INTEGER ]
month [ INTEGER ]
year [ INTEGER ]
age [ INTEGER ]
social [ TEXT ]
first [ TEXT ]
middle [ TEXT ]
last [ TEXT ]
phone [ TEXT ]
email [ TEXT ]
address_1 [ TEXT ]
address_2 [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zipcode [ INTEGER ]
district_id [ INTEGER ] client.district_id = district.district_id
district :
district_id [ INTEGER ] primary_key
city [ TEXT ]
state_abbrev [ TEXT ] district.state_abbrev = state.StateCode
division [ TEXT ]
events :
Date received [ DATE ]
Product [ TEXT ]
Sub-product [ TEXT ]
Issue [ TEXT ]
Sub-issue [ TEXT ]
Consumer complaint narrative [ TEXT ]
Tags [ TEXT ]
Consumer consent provided? [ TEXT ]
Submitted via [ TEXT ]
Date sent to company [ TEXT ]
Company response to consumer [ TEXT ]
Timely response? [ TEXT ]
Consumer disputed? [ TEXT ]
Complaint ID [ TEXT ] events.Complaint ID = callcenterlogs.Complaint ID
Client_ID [ TEXT ] events.Client_ID = client.client_id
reviews :
Date [ DATE ] primary_key
Stars [ INTEGER ]
Reviews [ TEXT ]
Product [ TEXT ]
district_id [ INTEGER ] reviews.district_id = district.district_id
Please write me a SQL statement that answers the following question: How many times does the consumer have no dispute over a non-timely response from the company? [/INST] | SELECT COUNT(`Timely response?`) FROM events WHERE `Timely response?` = 'No' AND `Consumer disputed?` = 'No'; |
[INST] Here is a database schema:
state :
StateCode [ TEXT ] primary_key
State [ TEXT ]
Region [ TEXT ]
callcenterlogs :
Date received [ DATE ]
Complaint ID [ TEXT ] primary_key
rand client [ TEXT ] callcenterlogs.rand client = client.client_id
phonefinal [ TEXT ]
vru+line [ TEXT ]
call_id [ INTEGER ]
priority [ INTEGER ]
type [ TEXT ]
outcome [ TEXT ]
server [ TEXT ]
ser_start [ TEXT ]
ser_exit [ TEXT ]
ser_time [ TEXT ]
client :
client_id [ TEXT ] primary_key
sex [ TEXT ]
day [ INTEGER ]
month [ INTEGER ]
year [ INTEGER ]
age [ INTEGER ]
social [ TEXT ]
first [ TEXT ]
middle [ TEXT ]
last [ TEXT ]
phone [ TEXT ]
email [ TEXT ]
address_1 [ TEXT ]
address_2 [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zipcode [ INTEGER ]
district_id [ INTEGER ] client.district_id = district.district_id
district :
district_id [ INTEGER ] primary_key
city [ TEXT ]
state_abbrev [ TEXT ] district.state_abbrev = state.StateCode
division [ TEXT ]
events :
Date received [ DATE ]
Product [ TEXT ]
Sub-product [ TEXT ]
Issue [ TEXT ]
Sub-issue [ TEXT ]
Consumer complaint narrative [ TEXT ]
Tags [ TEXT ]
Consumer consent provided? [ TEXT ]
Submitted via [ TEXT ]
Date sent to company [ TEXT ]
Company response to consumer [ TEXT ]
Timely response? [ TEXT ]
Consumer disputed? [ TEXT ]
Complaint ID [ TEXT ] events.Complaint ID = callcenterlogs.Complaint ID
Client_ID [ TEXT ] events.Client_ID = client.client_id
reviews :
Date [ DATE ] primary_key
Stars [ INTEGER ]
Reviews [ TEXT ]
Product [ TEXT ]
district_id [ INTEGER ] reviews.district_id = district.district_id
Please write me a SQL statement that answers the following question: How many of the complaints are longer than 15 minutes? [/INST] | SELECT COUNT(ser_time) FROM callcenterlogs WHERE strftime('%M', ser_time) > '15'; |
[INST] Here is a database schema:
state :
StateCode [ TEXT ] primary_key
State [ TEXT ]
Region [ TEXT ]
callcenterlogs :
Date received [ DATE ]
Complaint ID [ TEXT ] primary_key
rand client [ TEXT ] callcenterlogs.rand client = client.client_id
phonefinal [ TEXT ]
vru+line [ TEXT ]
call_id [ INTEGER ]
priority [ INTEGER ]
type [ TEXT ]
outcome [ TEXT ]
server [ TEXT ]
ser_start [ TEXT ]
ser_exit [ TEXT ]
ser_time [ TEXT ]
client :
client_id [ TEXT ] primary_key
sex [ TEXT ]
day [ INTEGER ]
month [ INTEGER ]
year [ INTEGER ]
age [ INTEGER ]
social [ TEXT ]
first [ TEXT ]
middle [ TEXT ]
last [ TEXT ]
phone [ TEXT ]
email [ TEXT ]
address_1 [ TEXT ]
address_2 [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zipcode [ INTEGER ]
district_id [ INTEGER ] client.district_id = district.district_id
district :
district_id [ INTEGER ] primary_key
city [ TEXT ]
state_abbrev [ TEXT ] district.state_abbrev = state.StateCode
division [ TEXT ]
events :
Date received [ DATE ]
Product [ TEXT ]
Sub-product [ TEXT ]
Issue [ TEXT ]
Sub-issue [ TEXT ]
Consumer complaint narrative [ TEXT ]
Tags [ TEXT ]
Consumer consent provided? [ TEXT ]
Submitted via [ TEXT ]
Date sent to company [ TEXT ]
Company response to consumer [ TEXT ]
Timely response? [ TEXT ]
Consumer disputed? [ TEXT ]
Complaint ID [ TEXT ] events.Complaint ID = callcenterlogs.Complaint ID
Client_ID [ TEXT ] events.Client_ID = client.client_id
reviews :
Date [ DATE ] primary_key
Stars [ INTEGER ]
Reviews [ TEXT ]
Product [ TEXT ]
district_id [ INTEGER ] reviews.district_id = district.district_id
Please write me a SQL statement that answers the following question: What is the most common issue for the highest priority complaints? [/INST] | SELECT T1.Issue FROM events AS T1 INNER JOIN callcenterlogs AS T2 ON T1.`Complaint ID` = T2.`Complaint ID` WHERE T2.priority = 2 GROUP BY T1.Issue ORDER BY COUNT(T1.Issue) DESC LIMIT 1; |
[INST] Here is a database schema:
state :
StateCode [ TEXT ] primary_key
State [ TEXT ]
Region [ TEXT ]
callcenterlogs :
Date received [ DATE ]
Complaint ID [ TEXT ] primary_key
rand client [ TEXT ] callcenterlogs.rand client = client.client_id
phonefinal [ TEXT ]
vru+line [ TEXT ]
call_id [ INTEGER ]
priority [ INTEGER ]
type [ TEXT ]
outcome [ TEXT ]
server [ TEXT ]
ser_start [ TEXT ]
ser_exit [ TEXT ]
ser_time [ TEXT ]
client :
client_id [ TEXT ] primary_key
sex [ TEXT ]
day [ INTEGER ]
month [ INTEGER ]
year [ INTEGER ]
age [ INTEGER ]
social [ TEXT ]
first [ TEXT ]
middle [ TEXT ]
last [ TEXT ]
phone [ TEXT ]
email [ TEXT ]
address_1 [ TEXT ]
address_2 [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zipcode [ INTEGER ]
district_id [ INTEGER ] client.district_id = district.district_id
district :
district_id [ INTEGER ] primary_key
city [ TEXT ]
state_abbrev [ TEXT ] district.state_abbrev = state.StateCode
division [ TEXT ]
events :
Date received [ DATE ]
Product [ TEXT ]
Sub-product [ TEXT ]
Issue [ TEXT ]
Sub-issue [ TEXT ]
Consumer complaint narrative [ TEXT ]
Tags [ TEXT ]
Consumer consent provided? [ TEXT ]
Submitted via [ TEXT ]
Date sent to company [ TEXT ]
Company response to consumer [ TEXT ]
Timely response? [ TEXT ]
Consumer disputed? [ TEXT ]
Complaint ID [ TEXT ] events.Complaint ID = callcenterlogs.Complaint ID
Client_ID [ TEXT ] events.Client_ID = client.client_id
reviews :
Date [ DATE ] primary_key
Stars [ INTEGER ]
Reviews [ TEXT ]
Product [ TEXT ]
district_id [ INTEGER ] reviews.district_id = district.district_id
Please write me a SQL statement that answers the following question: List the full names of all clients who live in the Pacific division. [/INST] | SELECT T2.first, T2.middle, T2.last FROM district AS T1 INNER JOIN client AS T2 ON T1.district_id = T2.district_id WHERE T1.division = 'Pacific'; |
[INST] Here is a database schema:
state :
StateCode [ TEXT ] primary_key
State [ TEXT ]
Region [ TEXT ]
callcenterlogs :
Date received [ DATE ]
Complaint ID [ TEXT ] primary_key
rand client [ TEXT ] callcenterlogs.rand client = client.client_id
phonefinal [ TEXT ]
vru+line [ TEXT ]
call_id [ INTEGER ]
priority [ INTEGER ]
type [ TEXT ]
outcome [ TEXT ]
server [ TEXT ]
ser_start [ TEXT ]
ser_exit [ TEXT ]
ser_time [ TEXT ]
client :
client_id [ TEXT ] primary_key
sex [ TEXT ]
day [ INTEGER ]
month [ INTEGER ]
year [ INTEGER ]
age [ INTEGER ]
social [ TEXT ]
first [ TEXT ]
middle [ TEXT ]
last [ TEXT ]
phone [ TEXT ]
email [ TEXT ]
address_1 [ TEXT ]
address_2 [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zipcode [ INTEGER ]
district_id [ INTEGER ] client.district_id = district.district_id
district :
district_id [ INTEGER ] primary_key
city [ TEXT ]
state_abbrev [ TEXT ] district.state_abbrev = state.StateCode
division [ TEXT ]
events :
Date received [ DATE ]
Product [ TEXT ]
Sub-product [ TEXT ]
Issue [ TEXT ]
Sub-issue [ TEXT ]
Consumer complaint narrative [ TEXT ]
Tags [ TEXT ]
Consumer consent provided? [ TEXT ]
Submitted via [ TEXT ]
Date sent to company [ TEXT ]
Company response to consumer [ TEXT ]
Timely response? [ TEXT ]
Consumer disputed? [ TEXT ]
Complaint ID [ TEXT ] events.Complaint ID = callcenterlogs.Complaint ID
Client_ID [ TEXT ] events.Client_ID = client.client_id
reviews :
Date [ DATE ] primary_key
Stars [ INTEGER ]
Reviews [ TEXT ]
Product [ TEXT ]
district_id [ INTEGER ] reviews.district_id = district.district_id
Please write me a SQL statement that answers the following question: What is the social number of the person who made the most complaints? [/INST] | SELECT T1.social FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID GROUP BY T1.client_id ORDER BY COUNT(T1.client_id) DESC LIMIT 1; |
[INST] Here is a database schema:
state :
StateCode [ TEXT ] primary_key
State [ TEXT ]
Region [ TEXT ]
callcenterlogs :
Date received [ DATE ]
Complaint ID [ TEXT ] primary_key
rand client [ TEXT ] callcenterlogs.rand client = client.client_id
phonefinal [ TEXT ]
vru+line [ TEXT ]
call_id [ INTEGER ]
priority [ INTEGER ]
type [ TEXT ]
outcome [ TEXT ]
server [ TEXT ]
ser_start [ TEXT ]
ser_exit [ TEXT ]
ser_time [ TEXT ]
client :
client_id [ TEXT ] primary_key
sex [ TEXT ]
day [ INTEGER ]
month [ INTEGER ]
year [ INTEGER ]
age [ INTEGER ]
social [ TEXT ]
first [ TEXT ]
middle [ TEXT ]
last [ TEXT ]
phone [ TEXT ]
email [ TEXT ]
address_1 [ TEXT ]
address_2 [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zipcode [ INTEGER ]
district_id [ INTEGER ] client.district_id = district.district_id
district :
district_id [ INTEGER ] primary_key
city [ TEXT ]
state_abbrev [ TEXT ] district.state_abbrev = state.StateCode
division [ TEXT ]
events :
Date received [ DATE ]
Product [ TEXT ]
Sub-product [ TEXT ]
Issue [ TEXT ]
Sub-issue [ TEXT ]
Consumer complaint narrative [ TEXT ]
Tags [ TEXT ]
Consumer consent provided? [ TEXT ]
Submitted via [ TEXT ]
Date sent to company [ TEXT ]
Company response to consumer [ TEXT ]
Timely response? [ TEXT ]
Consumer disputed? [ TEXT ]
Complaint ID [ TEXT ] events.Complaint ID = callcenterlogs.Complaint ID
Client_ID [ TEXT ] events.Client_ID = client.client_id
reviews :
Date [ DATE ] primary_key
Stars [ INTEGER ]
Reviews [ TEXT ]
Product [ TEXT ]
district_id [ INTEGER ] reviews.district_id = district.district_id
Please write me a SQL statement that answers the following question: Which is the city where most of the 1 star reviews come from? [/INST] | SELECT T2.city FROM reviews AS T1 INNER JOIN district AS T2 ON T1.district_id = T2.district_id WHERE T1.Stars = 1 GROUP BY T2.city ORDER BY COUNT(T2.city) DESC LIMIT 1; |
[INST] Here is a database schema:
state :
StateCode [ TEXT ] primary_key
State [ TEXT ]
Region [ TEXT ]
callcenterlogs :
Date received [ DATE ]
Complaint ID [ TEXT ] primary_key
rand client [ TEXT ] callcenterlogs.rand client = client.client_id
phonefinal [ TEXT ]
vru+line [ TEXT ]
call_id [ INTEGER ]
priority [ INTEGER ]
type [ TEXT ]
outcome [ TEXT ]
server [ TEXT ]
ser_start [ TEXT ]
ser_exit [ TEXT ]
ser_time [ TEXT ]
client :
client_id [ TEXT ] primary_key
sex [ TEXT ]
day [ INTEGER ]
month [ INTEGER ]
year [ INTEGER ]
age [ INTEGER ]
social [ TEXT ]
first [ TEXT ]
middle [ TEXT ]
last [ TEXT ]
phone [ TEXT ]
email [ TEXT ]
address_1 [ TEXT ]
address_2 [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zipcode [ INTEGER ]
district_id [ INTEGER ] client.district_id = district.district_id
district :
district_id [ INTEGER ] primary_key
city [ TEXT ]
state_abbrev [ TEXT ] district.state_abbrev = state.StateCode
division [ TEXT ]
events :
Date received [ DATE ]
Product [ TEXT ]
Sub-product [ TEXT ]
Issue [ TEXT ]
Sub-issue [ TEXT ]
Consumer complaint narrative [ TEXT ]
Tags [ TEXT ]
Consumer consent provided? [ TEXT ]
Submitted via [ TEXT ]
Date sent to company [ TEXT ]
Company response to consumer [ TEXT ]
Timely response? [ TEXT ]
Consumer disputed? [ TEXT ]
Complaint ID [ TEXT ] events.Complaint ID = callcenterlogs.Complaint ID
Client_ID [ TEXT ] events.Client_ID = client.client_id
reviews :
Date [ DATE ] primary_key
Stars [ INTEGER ]
Reviews [ TEXT ]
Product [ TEXT ]
district_id [ INTEGER ] reviews.district_id = district.district_id
Please write me a SQL statement that answers the following question: What is the address of the client who made a complaint via postal mail on March 14, 2012? [/INST] | SELECT T1.address_1, T1.address_2 FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T2.`Date received` = '2012-03-14' AND T2.`Submitted via` = 'Postal mail'; |
[INST] Here is a database schema:
state :
StateCode [ TEXT ] primary_key
State [ TEXT ]
Region [ TEXT ]
callcenterlogs :
Date received [ DATE ]
Complaint ID [ TEXT ] primary_key
rand client [ TEXT ] callcenterlogs.rand client = client.client_id
phonefinal [ TEXT ]
vru+line [ TEXT ]
call_id [ INTEGER ]
priority [ INTEGER ]
type [ TEXT ]
outcome [ TEXT ]
server [ TEXT ]
ser_start [ TEXT ]
ser_exit [ TEXT ]
ser_time [ TEXT ]
client :
client_id [ TEXT ] primary_key
sex [ TEXT ]
day [ INTEGER ]
month [ INTEGER ]
year [ INTEGER ]
age [ INTEGER ]
social [ TEXT ]
first [ TEXT ]
middle [ TEXT ]
last [ TEXT ]
phone [ TEXT ]
email [ TEXT ]
address_1 [ TEXT ]
address_2 [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zipcode [ INTEGER ]
district_id [ INTEGER ] client.district_id = district.district_id
district :
district_id [ INTEGER ] primary_key
city [ TEXT ]
state_abbrev [ TEXT ] district.state_abbrev = state.StateCode
division [ TEXT ]
events :
Date received [ DATE ]
Product [ TEXT ]
Sub-product [ TEXT ]
Issue [ TEXT ]
Sub-issue [ TEXT ]
Consumer complaint narrative [ TEXT ]
Tags [ TEXT ]
Consumer consent provided? [ TEXT ]
Submitted via [ TEXT ]
Date sent to company [ TEXT ]
Company response to consumer [ TEXT ]
Timely response? [ TEXT ]
Consumer disputed? [ TEXT ]
Complaint ID [ TEXT ] events.Complaint ID = callcenterlogs.Complaint ID
Client_ID [ TEXT ] events.Client_ID = client.client_id
reviews :
Date [ DATE ] primary_key
Stars [ INTEGER ]
Reviews [ TEXT ]
Product [ TEXT ]
district_id [ INTEGER ] reviews.district_id = district.district_id
Please write me a SQL statement that answers the following question: Among the female clients, how many of them have a complaint with a priority of 1? [/INST] | SELECT COUNT(T1.client_id) FROM client AS T1 INNER JOIN callcenterlogs AS T2 ON T1.client_id = T2.`rand client` WHERE T1.sex = 'Female' AND T2.priority = 1; |
[INST] Here is a database schema:
state :
StateCode [ TEXT ] primary_key
State [ TEXT ]
Region [ TEXT ]
callcenterlogs :
Date received [ DATE ]
Complaint ID [ TEXT ] primary_key
rand client [ TEXT ] callcenterlogs.rand client = client.client_id
phonefinal [ TEXT ]
vru+line [ TEXT ]
call_id [ INTEGER ]
priority [ INTEGER ]
type [ TEXT ]
outcome [ TEXT ]
server [ TEXT ]
ser_start [ TEXT ]
ser_exit [ TEXT ]
ser_time [ TEXT ]
client :
client_id [ TEXT ] primary_key
sex [ TEXT ]
day [ INTEGER ]
month [ INTEGER ]
year [ INTEGER ]
age [ INTEGER ]
social [ TEXT ]
first [ TEXT ]
middle [ TEXT ]
last [ TEXT ]
phone [ TEXT ]
email [ TEXT ]
address_1 [ TEXT ]
address_2 [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zipcode [ INTEGER ]
district_id [ INTEGER ] client.district_id = district.district_id
district :
district_id [ INTEGER ] primary_key
city [ TEXT ]
state_abbrev [ TEXT ] district.state_abbrev = state.StateCode
division [ TEXT ]
events :
Date received [ DATE ]
Product [ TEXT ]
Sub-product [ TEXT ]
Issue [ TEXT ]
Sub-issue [ TEXT ]
Consumer complaint narrative [ TEXT ]
Tags [ TEXT ]
Consumer consent provided? [ TEXT ]
Submitted via [ TEXT ]
Date sent to company [ TEXT ]
Company response to consumer [ TEXT ]
Timely response? [ TEXT ]
Consumer disputed? [ TEXT ]
Complaint ID [ TEXT ] events.Complaint ID = callcenterlogs.Complaint ID
Client_ID [ TEXT ] events.Client_ID = client.client_id
reviews :
Date [ DATE ] primary_key
Stars [ INTEGER ]
Reviews [ TEXT ]
Product [ TEXT ]
district_id [ INTEGER ] reviews.district_id = district.district_id
Please write me a SQL statement that answers the following question: List all the server of the phone complaints with a late response from the company. [/INST] | SELECT DISTINCT T2.server FROM events AS T1 INNER JOIN callcenterlogs AS T2 ON T1.`Complaint ID` = T2.`Complaint ID` WHERE T1.`Submitted via` = 'Phone' AND T1.`Timely response?` = 'No'; |
[INST] Here is a database schema:
state :
StateCode [ TEXT ] primary_key
State [ TEXT ]
Region [ TEXT ]
callcenterlogs :
Date received [ DATE ]
Complaint ID [ TEXT ] primary_key
rand client [ TEXT ] callcenterlogs.rand client = client.client_id
phonefinal [ TEXT ]
vru+line [ TEXT ]
call_id [ INTEGER ]
priority [ INTEGER ]
type [ TEXT ]
outcome [ TEXT ]
server [ TEXT ]
ser_start [ TEXT ]
ser_exit [ TEXT ]
ser_time [ TEXT ]
client :
client_id [ TEXT ] primary_key
sex [ TEXT ]
day [ INTEGER ]
month [ INTEGER ]
year [ INTEGER ]
age [ INTEGER ]
social [ TEXT ]
first [ TEXT ]
middle [ TEXT ]
last [ TEXT ]
phone [ TEXT ]
email [ TEXT ]
address_1 [ TEXT ]
address_2 [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zipcode [ INTEGER ]
district_id [ INTEGER ] client.district_id = district.district_id
district :
district_id [ INTEGER ] primary_key
city [ TEXT ]
state_abbrev [ TEXT ] district.state_abbrev = state.StateCode
division [ TEXT ]
events :
Date received [ DATE ]
Product [ TEXT ]
Sub-product [ TEXT ]
Issue [ TEXT ]
Sub-issue [ TEXT ]
Consumer complaint narrative [ TEXT ]
Tags [ TEXT ]
Consumer consent provided? [ TEXT ]
Submitted via [ TEXT ]
Date sent to company [ TEXT ]
Company response to consumer [ TEXT ]
Timely response? [ TEXT ]
Consumer disputed? [ TEXT ]
Complaint ID [ TEXT ] events.Complaint ID = callcenterlogs.Complaint ID
Client_ID [ TEXT ] events.Client_ID = client.client_id
reviews :
Date [ DATE ] primary_key
Stars [ INTEGER ]
Reviews [ TEXT ]
Product [ TEXT ]
district_id [ INTEGER ] reviews.district_id = district.district_id
Please write me a SQL statement that answers the following question: List all the issues of the complaints made by Kaitlyn Eliza Elliott. [/INST] | SELECT DISTINCT T2.Issue FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T1.first = 'Kaitlyn' AND T1.middle = 'Eliza' AND T1.last = 'Elliott'; |
[INST] Here is a database schema:
state :
StateCode [ TEXT ] primary_key
State [ TEXT ]
Region [ TEXT ]
callcenterlogs :
Date received [ DATE ]
Complaint ID [ TEXT ] primary_key
rand client [ TEXT ] callcenterlogs.rand client = client.client_id
phonefinal [ TEXT ]
vru+line [ TEXT ]
call_id [ INTEGER ]
priority [ INTEGER ]
type [ TEXT ]
outcome [ TEXT ]
server [ TEXT ]
ser_start [ TEXT ]
ser_exit [ TEXT ]
ser_time [ TEXT ]
client :
client_id [ TEXT ] primary_key
sex [ TEXT ]
day [ INTEGER ]
month [ INTEGER ]
year [ INTEGER ]
age [ INTEGER ]
social [ TEXT ]
first [ TEXT ]
middle [ TEXT ]
last [ TEXT ]
phone [ TEXT ]
email [ TEXT ]
address_1 [ TEXT ]
address_2 [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zipcode [ INTEGER ]
district_id [ INTEGER ] client.district_id = district.district_id
district :
district_id [ INTEGER ] primary_key
city [ TEXT ]
state_abbrev [ TEXT ] district.state_abbrev = state.StateCode
division [ TEXT ]
events :
Date received [ DATE ]
Product [ TEXT ]
Sub-product [ TEXT ]
Issue [ TEXT ]
Sub-issue [ TEXT ]
Consumer complaint narrative [ TEXT ]
Tags [ TEXT ]
Consumer consent provided? [ TEXT ]
Submitted via [ TEXT ]
Date sent to company [ TEXT ]
Company response to consumer [ TEXT ]
Timely response? [ TEXT ]
Consumer disputed? [ TEXT ]
Complaint ID [ TEXT ] events.Complaint ID = callcenterlogs.Complaint ID
Client_ID [ TEXT ] events.Client_ID = client.client_id
reviews :
Date [ DATE ] primary_key
Stars [ INTEGER ]
Reviews [ TEXT ]
Product [ TEXT ]
district_id [ INTEGER ] reviews.district_id = district.district_id
Please write me a SQL statement that answers the following question: What is the name of the state that the client with the email "skylar.ramirez@gmail.com" lives in? [/INST] | SELECT T3.state FROM state AS T1 INNER JOIN district AS T2 ON T1.StateCode = T2.state_abbrev INNER JOIN client AS T3 ON T2.district_id = T3.district_id WHERE T3.email = 'skylar.ramirez@gmail.com'; |
[INST] Here is a database schema:
state :
StateCode [ TEXT ] primary_key
State [ TEXT ]
Region [ TEXT ]
callcenterlogs :
Date received [ DATE ]
Complaint ID [ TEXT ] primary_key
rand client [ TEXT ] callcenterlogs.rand client = client.client_id
phonefinal [ TEXT ]
vru+line [ TEXT ]
call_id [ INTEGER ]
priority [ INTEGER ]
type [ TEXT ]
outcome [ TEXT ]
server [ TEXT ]
ser_start [ TEXT ]
ser_exit [ TEXT ]
ser_time [ TEXT ]
client :
client_id [ TEXT ] primary_key
sex [ TEXT ]
day [ INTEGER ]
month [ INTEGER ]
year [ INTEGER ]
age [ INTEGER ]
social [ TEXT ]
first [ TEXT ]
middle [ TEXT ]
last [ TEXT ]
phone [ TEXT ]
email [ TEXT ]
address_1 [ TEXT ]
address_2 [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zipcode [ INTEGER ]
district_id [ INTEGER ] client.district_id = district.district_id
district :
district_id [ INTEGER ] primary_key
city [ TEXT ]
state_abbrev [ TEXT ] district.state_abbrev = state.StateCode
division [ TEXT ]
events :
Date received [ DATE ]
Product [ TEXT ]
Sub-product [ TEXT ]
Issue [ TEXT ]
Sub-issue [ TEXT ]
Consumer complaint narrative [ TEXT ]
Tags [ TEXT ]
Consumer consent provided? [ TEXT ]
Submitted via [ TEXT ]
Date sent to company [ TEXT ]
Company response to consumer [ TEXT ]
Timely response? [ TEXT ]
Consumer disputed? [ TEXT ]
Complaint ID [ TEXT ] events.Complaint ID = callcenterlogs.Complaint ID
Client_ID [ TEXT ] events.Client_ID = client.client_id
reviews :
Date [ DATE ] primary_key
Stars [ INTEGER ]
Reviews [ TEXT ]
Product [ TEXT ]
district_id [ INTEGER ] reviews.district_id = district.district_id
Please write me a SQL statement that answers the following question: Which region has the second most clients? [/INST] | SELECT T2.division FROM client AS T1 INNER JOIN district AS T2 ON T1.district_id = T2.district_id GROUP BY T2.division ORDER BY COUNT(T2.division) DESC LIMIT 1, 1; |
[INST] Here is a database schema:
state :
StateCode [ TEXT ] primary_key
State [ TEXT ]
Region [ TEXT ]
callcenterlogs :
Date received [ DATE ]
Complaint ID [ TEXT ] primary_key
rand client [ TEXT ] callcenterlogs.rand client = client.client_id
phonefinal [ TEXT ]
vru+line [ TEXT ]
call_id [ INTEGER ]
priority [ INTEGER ]
type [ TEXT ]
outcome [ TEXT ]
server [ TEXT ]
ser_start [ TEXT ]
ser_exit [ TEXT ]
ser_time [ TEXT ]
client :
client_id [ TEXT ] primary_key
sex [ TEXT ]
day [ INTEGER ]
month [ INTEGER ]
year [ INTEGER ]
age [ INTEGER ]
social [ TEXT ]
first [ TEXT ]
middle [ TEXT ]
last [ TEXT ]
phone [ TEXT ]
email [ TEXT ]
address_1 [ TEXT ]
address_2 [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zipcode [ INTEGER ]
district_id [ INTEGER ] client.district_id = district.district_id
district :
district_id [ INTEGER ] primary_key
city [ TEXT ]
state_abbrev [ TEXT ] district.state_abbrev = state.StateCode
division [ TEXT ]
events :
Date received [ DATE ]
Product [ TEXT ]
Sub-product [ TEXT ]
Issue [ TEXT ]
Sub-issue [ TEXT ]
Consumer complaint narrative [ TEXT ]
Tags [ TEXT ]
Consumer consent provided? [ TEXT ]
Submitted via [ TEXT ]
Date sent to company [ TEXT ]
Company response to consumer [ TEXT ]
Timely response? [ TEXT ]
Consumer disputed? [ TEXT ]
Complaint ID [ TEXT ] events.Complaint ID = callcenterlogs.Complaint ID
Client_ID [ TEXT ] events.Client_ID = client.client_id
reviews :
Date [ DATE ] primary_key
Stars [ INTEGER ]
Reviews [ TEXT ]
Product [ TEXT ]
district_id [ INTEGER ] reviews.district_id = district.district_id
Please write me a SQL statement that answers the following question: Who is the owner of the final phone number for the complaints on server "MORIAH" on 9/11/2013? [/INST] | SELECT T1.first, T1.middle, T1.last FROM client AS T1 INNER JOIN callcenterlogs AS T2 ON T1.client_id = T2.`rand client` WHERE T2.server = 'MORIAH' AND T2.`Date received` = '2013-09-11'; |
[INST] Here is a database schema:
state :
StateCode [ TEXT ] primary_key
State [ TEXT ]
Region [ TEXT ]
callcenterlogs :
Date received [ DATE ]
Complaint ID [ TEXT ] primary_key
rand client [ TEXT ] callcenterlogs.rand client = client.client_id
phonefinal [ TEXT ]
vru+line [ TEXT ]
call_id [ INTEGER ]
priority [ INTEGER ]
type [ TEXT ]
outcome [ TEXT ]
server [ TEXT ]
ser_start [ TEXT ]
ser_exit [ TEXT ]
ser_time [ TEXT ]
client :
client_id [ TEXT ] primary_key
sex [ TEXT ]
day [ INTEGER ]
month [ INTEGER ]
year [ INTEGER ]
age [ INTEGER ]
social [ TEXT ]
first [ TEXT ]
middle [ TEXT ]
last [ TEXT ]
phone [ TEXT ]
email [ TEXT ]
address_1 [ TEXT ]
address_2 [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zipcode [ INTEGER ]
district_id [ INTEGER ] client.district_id = district.district_id
district :
district_id [ INTEGER ] primary_key
city [ TEXT ]
state_abbrev [ TEXT ] district.state_abbrev = state.StateCode
division [ TEXT ]
events :
Date received [ DATE ]
Product [ TEXT ]
Sub-product [ TEXT ]
Issue [ TEXT ]
Sub-issue [ TEXT ]
Consumer complaint narrative [ TEXT ]
Tags [ TEXT ]
Consumer consent provided? [ TEXT ]
Submitted via [ TEXT ]
Date sent to company [ TEXT ]
Company response to consumer [ TEXT ]
Timely response? [ TEXT ]
Consumer disputed? [ TEXT ]
Complaint ID [ TEXT ] events.Complaint ID = callcenterlogs.Complaint ID
Client_ID [ TEXT ] events.Client_ID = client.client_id
reviews :
Date [ DATE ] primary_key
Stars [ INTEGER ]
Reviews [ TEXT ]
Product [ TEXT ]
district_id [ INTEGER ] reviews.district_id = district.district_id
Please write me a SQL statement that answers the following question: Compute the average time in minute for each age group [/INST] | SELECT CAST(SUM(CASE WHEN T1.age > 13 AND T1.age <= 19 THEN 60 * strftime('%H', ser_time) + strftime('%M', ser_time) + strftime('%S', ser_time) / 60 ELSE 0 END) AS REAL) / SUM(CASE WHEN T1.age > 13 AND T1.age <= 19 THEN 1 ELSE 0 END) AS teenagerAverageMins, CAST(SUM(CASE WHEN T1.age > 19 AND T1.age <= 65 THEN 60 * strftime('%H', ser_time) + strftime('%M', ser_time) + strftime('%S', ser_time) / 60 ELSE 0 END) AS REAL) / SUM(CASE WHEN T1.age > 19 AND T1.age <= 65 THEN 1 ELSE 0 END) AS adultAverageMins , CAST(SUM(CASE WHEN T1.age > 65 THEN 60 * strftime('%H', ser_time) + strftime('%M', ser_time) + strftime('%S', ser_time) / 60 ELSE 0 END) AS REAL) / SUM(CASE WHEN T1.age > 65 THEN 1 ELSE 0 END) AS elderAverageMins FROM client AS T1 INNER JOIN callcenterlogs AS T2 ON T1.client_id = T2.`rand client`; |
[INST] Here is a database schema:
state :
StateCode [ TEXT ] primary_key
State [ TEXT ]
Region [ TEXT ]
callcenterlogs :
Date received [ DATE ]
Complaint ID [ TEXT ] primary_key
rand client [ TEXT ] callcenterlogs.rand client = client.client_id
phonefinal [ TEXT ]
vru+line [ TEXT ]
call_id [ INTEGER ]
priority [ INTEGER ]
type [ TEXT ]
outcome [ TEXT ]
server [ TEXT ]
ser_start [ TEXT ]
ser_exit [ TEXT ]
ser_time [ TEXT ]
client :
client_id [ TEXT ] primary_key
sex [ TEXT ]
day [ INTEGER ]
month [ INTEGER ]
year [ INTEGER ]
age [ INTEGER ]
social [ TEXT ]
first [ TEXT ]
middle [ TEXT ]
last [ TEXT ]
phone [ TEXT ]
email [ TEXT ]
address_1 [ TEXT ]
address_2 [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zipcode [ INTEGER ]
district_id [ INTEGER ] client.district_id = district.district_id
district :
district_id [ INTEGER ] primary_key
city [ TEXT ]
state_abbrev [ TEXT ] district.state_abbrev = state.StateCode
division [ TEXT ]
events :
Date received [ DATE ]
Product [ TEXT ]
Sub-product [ TEXT ]
Issue [ TEXT ]
Sub-issue [ TEXT ]
Consumer complaint narrative [ TEXT ]
Tags [ TEXT ]
Consumer consent provided? [ TEXT ]
Submitted via [ TEXT ]
Date sent to company [ TEXT ]
Company response to consumer [ TEXT ]
Timely response? [ TEXT ]
Consumer disputed? [ TEXT ]
Complaint ID [ TEXT ] events.Complaint ID = callcenterlogs.Complaint ID
Client_ID [ TEXT ] events.Client_ID = client.client_id
reviews :
Date [ DATE ] primary_key
Stars [ INTEGER ]
Reviews [ TEXT ]
Product [ TEXT ]
district_id [ INTEGER ] reviews.district_id = district.district_id
Please write me a SQL statement that answers the following question: What percentage of complaints are from the elderly? [/INST] | SELECT CAST(SUM(CASE WHEN T1.age > 65 THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.age) FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID; |
[INST] Here is a database schema:
state :
StateCode [ TEXT ] primary_key
State [ TEXT ]
Region [ TEXT ]
callcenterlogs :
Date received [ DATE ]
Complaint ID [ TEXT ] primary_key
rand client [ TEXT ] callcenterlogs.rand client = client.client_id
phonefinal [ TEXT ]
vru+line [ TEXT ]
call_id [ INTEGER ]
priority [ INTEGER ]
type [ TEXT ]
outcome [ TEXT ]
server [ TEXT ]
ser_start [ TEXT ]
ser_exit [ TEXT ]
ser_time [ TEXT ]
client :
client_id [ TEXT ] primary_key
sex [ TEXT ]
day [ INTEGER ]
month [ INTEGER ]
year [ INTEGER ]
age [ INTEGER ]
social [ TEXT ]
first [ TEXT ]
middle [ TEXT ]
last [ TEXT ]
phone [ TEXT ]
email [ TEXT ]
address_1 [ TEXT ]
address_2 [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zipcode [ INTEGER ]
district_id [ INTEGER ] client.district_id = district.district_id
district :
district_id [ INTEGER ] primary_key
city [ TEXT ]
state_abbrev [ TEXT ] district.state_abbrev = state.StateCode
division [ TEXT ]
events :
Date received [ DATE ]
Product [ TEXT ]
Sub-product [ TEXT ]
Issue [ TEXT ]
Sub-issue [ TEXT ]
Consumer complaint narrative [ TEXT ]
Tags [ TEXT ]
Consumer consent provided? [ TEXT ]
Submitted via [ TEXT ]
Date sent to company [ TEXT ]
Company response to consumer [ TEXT ]
Timely response? [ TEXT ]
Consumer disputed? [ TEXT ]
Complaint ID [ TEXT ] events.Complaint ID = callcenterlogs.Complaint ID
Client_ID [ TEXT ] events.Client_ID = client.client_id
reviews :
Date [ DATE ] primary_key
Stars [ INTEGER ]
Reviews [ TEXT ]
Product [ TEXT ]
district_id [ INTEGER ] reviews.district_id = district.district_id
Please write me a SQL statement that answers the following question: Calculate the percentage of male clients from Indianapolis City. [/INST] | SELECT CAST(SUM(CASE WHEN sex = 'Male' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(client_id) FROM client WHERE city = 'Indianapolis'; |
[INST] Here is a database schema:
state :
StateCode [ TEXT ] primary_key
State [ TEXT ]
Region [ TEXT ]
callcenterlogs :
Date received [ DATE ]
Complaint ID [ TEXT ] primary_key
rand client [ TEXT ] callcenterlogs.rand client = client.client_id
phonefinal [ TEXT ]
vru+line [ TEXT ]
call_id [ INTEGER ]
priority [ INTEGER ]
type [ TEXT ]
outcome [ TEXT ]
server [ TEXT ]
ser_start [ TEXT ]
ser_exit [ TEXT ]
ser_time [ TEXT ]
client :
client_id [ TEXT ] primary_key
sex [ TEXT ]
day [ INTEGER ]
month [ INTEGER ]
year [ INTEGER ]
age [ INTEGER ]
social [ TEXT ]
first [ TEXT ]
middle [ TEXT ]
last [ TEXT ]
phone [ TEXT ]
email [ TEXT ]
address_1 [ TEXT ]
address_2 [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zipcode [ INTEGER ]
district_id [ INTEGER ] client.district_id = district.district_id
district :
district_id [ INTEGER ] primary_key
city [ TEXT ]
state_abbrev [ TEXT ] district.state_abbrev = state.StateCode
division [ TEXT ]
events :
Date received [ DATE ]
Product [ TEXT ]
Sub-product [ TEXT ]
Issue [ TEXT ]
Sub-issue [ TEXT ]
Consumer complaint narrative [ TEXT ]
Tags [ TEXT ]
Consumer consent provided? [ TEXT ]
Submitted via [ TEXT ]
Date sent to company [ TEXT ]
Company response to consumer [ TEXT ]
Timely response? [ TEXT ]
Consumer disputed? [ TEXT ]
Complaint ID [ TEXT ] events.Complaint ID = callcenterlogs.Complaint ID
Client_ID [ TEXT ] events.Client_ID = client.client_id
reviews :
Date [ DATE ] primary_key
Stars [ INTEGER ]
Reviews [ TEXT ]
Product [ TEXT ]
district_id [ INTEGER ] reviews.district_id = district.district_id
Please write me a SQL statement that answers the following question: Among the teenager clients who use Google account and Microsoft account, which group of client is more than the other? [/INST] | SELECT CASE WHEN SUM(CASE WHEN email LIKE '%@gmail.com' THEN 1 ELSE 0 END) > SUM(CASE WHEN email LIKE '%@outlook.com' THEN 1 ELSE 0 END) THEN 'Google account' ELSE 'Microsoft account' END FROM client WHERE age BETWEEN 13 AND 19; |
[INST] Here is a database schema:
state :
StateCode [ TEXT ] primary_key
State [ TEXT ]
Region [ TEXT ]
callcenterlogs :
Date received [ DATE ]
Complaint ID [ TEXT ] primary_key
rand client [ TEXT ] callcenterlogs.rand client = client.client_id
phonefinal [ TEXT ]
vru+line [ TEXT ]
call_id [ INTEGER ]
priority [ INTEGER ]
type [ TEXT ]
outcome [ TEXT ]
server [ TEXT ]
ser_start [ TEXT ]
ser_exit [ TEXT ]
ser_time [ TEXT ]
client :
client_id [ TEXT ] primary_key
sex [ TEXT ]
day [ INTEGER ]
month [ INTEGER ]
year [ INTEGER ]
age [ INTEGER ]
social [ TEXT ]
first [ TEXT ]
middle [ TEXT ]
last [ TEXT ]
phone [ TEXT ]
email [ TEXT ]
address_1 [ TEXT ]
address_2 [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zipcode [ INTEGER ]
district_id [ INTEGER ] client.district_id = district.district_id
district :
district_id [ INTEGER ] primary_key
city [ TEXT ]
state_abbrev [ TEXT ] district.state_abbrev = state.StateCode
division [ TEXT ]
events :
Date received [ DATE ]
Product [ TEXT ]
Sub-product [ TEXT ]
Issue [ TEXT ]
Sub-issue [ TEXT ]
Consumer complaint narrative [ TEXT ]
Tags [ TEXT ]
Consumer consent provided? [ TEXT ]
Submitted via [ TEXT ]
Date sent to company [ TEXT ]
Company response to consumer [ TEXT ]
Timely response? [ TEXT ]
Consumer disputed? [ TEXT ]
Complaint ID [ TEXT ] events.Complaint ID = callcenterlogs.Complaint ID
Client_ID [ TEXT ] events.Client_ID = client.client_id
reviews :
Date [ DATE ] primary_key
Stars [ INTEGER ]
Reviews [ TEXT ]
Product [ TEXT ]
district_id [ INTEGER ] reviews.district_id = district.district_id
Please write me a SQL statement that answers the following question: What is the full name of client whose email address is emily.garcia43@outlook.com? [/INST] | SELECT first, middle, last FROM client WHERE email = 'emily.garcia43@outlook.com'; |
[INST] Here is a database schema:
state :
StateCode [ TEXT ] primary_key
State [ TEXT ]
Region [ TEXT ]
callcenterlogs :
Date received [ DATE ]
Complaint ID [ TEXT ] primary_key
rand client [ TEXT ] callcenterlogs.rand client = client.client_id
phonefinal [ TEXT ]
vru+line [ TEXT ]
call_id [ INTEGER ]
priority [ INTEGER ]
type [ TEXT ]
outcome [ TEXT ]
server [ TEXT ]
ser_start [ TEXT ]
ser_exit [ TEXT ]
ser_time [ TEXT ]
client :
client_id [ TEXT ] primary_key
sex [ TEXT ]
day [ INTEGER ]
month [ INTEGER ]
year [ INTEGER ]
age [ INTEGER ]
social [ TEXT ]
first [ TEXT ]
middle [ TEXT ]
last [ TEXT ]
phone [ TEXT ]
email [ TEXT ]
address_1 [ TEXT ]
address_2 [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zipcode [ INTEGER ]
district_id [ INTEGER ] client.district_id = district.district_id
district :
district_id [ INTEGER ] primary_key
city [ TEXT ]
state_abbrev [ TEXT ] district.state_abbrev = state.StateCode
division [ TEXT ]
events :
Date received [ DATE ]
Product [ TEXT ]
Sub-product [ TEXT ]
Issue [ TEXT ]
Sub-issue [ TEXT ]
Consumer complaint narrative [ TEXT ]
Tags [ TEXT ]
Consumer consent provided? [ TEXT ]
Submitted via [ TEXT ]
Date sent to company [ TEXT ]
Company response to consumer [ TEXT ]
Timely response? [ TEXT ]
Consumer disputed? [ TEXT ]
Complaint ID [ TEXT ] events.Complaint ID = callcenterlogs.Complaint ID
Client_ID [ TEXT ] events.Client_ID = client.client_id
reviews :
Date [ DATE ] primary_key
Stars [ INTEGER ]
Reviews [ TEXT ]
Product [ TEXT ]
district_id [ INTEGER ] reviews.district_id = district.district_id
Please write me a SQL statement that answers the following question: What is the first name of clients who have the highest priority? [/INST] | SELECT T1.first FROM client AS T1 INNER JOIN callcenterlogs AS T2 ON T1.client_id = T2.`rand client` WHERE T2.priority = ( SELECT MAX(priority) FROM callcenterlogs ); |
[INST] Here is a database schema:
state :
StateCode [ TEXT ] primary_key
State [ TEXT ]
Region [ TEXT ]
callcenterlogs :
Date received [ DATE ]
Complaint ID [ TEXT ] primary_key
rand client [ TEXT ] callcenterlogs.rand client = client.client_id
phonefinal [ TEXT ]
vru+line [ TEXT ]
call_id [ INTEGER ]
priority [ INTEGER ]
type [ TEXT ]
outcome [ TEXT ]
server [ TEXT ]
ser_start [ TEXT ]
ser_exit [ TEXT ]
ser_time [ TEXT ]
client :
client_id [ TEXT ] primary_key
sex [ TEXT ]
day [ INTEGER ]
month [ INTEGER ]
year [ INTEGER ]
age [ INTEGER ]
social [ TEXT ]
first [ TEXT ]
middle [ TEXT ]
last [ TEXT ]
phone [ TEXT ]
email [ TEXT ]
address_1 [ TEXT ]
address_2 [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zipcode [ INTEGER ]
district_id [ INTEGER ] client.district_id = district.district_id
district :
district_id [ INTEGER ] primary_key
city [ TEXT ]
state_abbrev [ TEXT ] district.state_abbrev = state.StateCode
division [ TEXT ]
events :
Date received [ DATE ]
Product [ TEXT ]
Sub-product [ TEXT ]
Issue [ TEXT ]
Sub-issue [ TEXT ]
Consumer complaint narrative [ TEXT ]
Tags [ TEXT ]
Consumer consent provided? [ TEXT ]
Submitted via [ TEXT ]
Date sent to company [ TEXT ]
Company response to consumer [ TEXT ]
Timely response? [ TEXT ]
Consumer disputed? [ TEXT ]
Complaint ID [ TEXT ] events.Complaint ID = callcenterlogs.Complaint ID
Client_ID [ TEXT ] events.Client_ID = client.client_id
reviews :
Date [ DATE ] primary_key
Stars [ INTEGER ]
Reviews [ TEXT ]
Product [ TEXT ]
district_id [ INTEGER ] reviews.district_id = district.district_id
Please write me a SQL statement that answers the following question: List down the email of client whose complaint is type "PS". [/INST] | SELECT T1.email FROM client AS T1 INNER JOIN callcenterlogs AS T2 ON T1.client_id = T2.`rand client` WHERE T2.type = 'PS'; |
[INST] Here is a database schema:
state :
StateCode [ TEXT ] primary_key
State [ TEXT ]
Region [ TEXT ]
callcenterlogs :
Date received [ DATE ]
Complaint ID [ TEXT ] primary_key
rand client [ TEXT ] callcenterlogs.rand client = client.client_id
phonefinal [ TEXT ]
vru+line [ TEXT ]
call_id [ INTEGER ]
priority [ INTEGER ]
type [ TEXT ]
outcome [ TEXT ]
server [ TEXT ]
ser_start [ TEXT ]
ser_exit [ TEXT ]
ser_time [ TEXT ]
client :
client_id [ TEXT ] primary_key
sex [ TEXT ]
day [ INTEGER ]
month [ INTEGER ]
year [ INTEGER ]
age [ INTEGER ]
social [ TEXT ]
first [ TEXT ]
middle [ TEXT ]
last [ TEXT ]
phone [ TEXT ]
email [ TEXT ]
address_1 [ TEXT ]
address_2 [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zipcode [ INTEGER ]
district_id [ INTEGER ] client.district_id = district.district_id
district :
district_id [ INTEGER ] primary_key
city [ TEXT ]
state_abbrev [ TEXT ] district.state_abbrev = state.StateCode
division [ TEXT ]
events :
Date received [ DATE ]
Product [ TEXT ]
Sub-product [ TEXT ]
Issue [ TEXT ]
Sub-issue [ TEXT ]
Consumer complaint narrative [ TEXT ]
Tags [ TEXT ]
Consumer consent provided? [ TEXT ]
Submitted via [ TEXT ]
Date sent to company [ TEXT ]
Company response to consumer [ TEXT ]
Timely response? [ TEXT ]
Consumer disputed? [ TEXT ]
Complaint ID [ TEXT ] events.Complaint ID = callcenterlogs.Complaint ID
Client_ID [ TEXT ] events.Client_ID = client.client_id
reviews :
Date [ DATE ] primary_key
Stars [ INTEGER ]
Reviews [ TEXT ]
Product [ TEXT ]
district_id [ INTEGER ] reviews.district_id = district.district_id
Please write me a SQL statement that answers the following question: Among the elderlies, state the last name of whose complaint is handled in server YIFAT? [/INST] | SELECT T1.last FROM client AS T1 INNER JOIN callcenterlogs AS T2 ON T1.client_id = T2.`rand client` WHERE T1.age > 65 AND T2.server = 'YIFAT'; |
[INST] Here is a database schema:
state :
StateCode [ TEXT ] primary_key
State [ TEXT ]
Region [ TEXT ]
callcenterlogs :
Date received [ DATE ]
Complaint ID [ TEXT ] primary_key
rand client [ TEXT ] callcenterlogs.rand client = client.client_id
phonefinal [ TEXT ]
vru+line [ TEXT ]
call_id [ INTEGER ]
priority [ INTEGER ]
type [ TEXT ]
outcome [ TEXT ]
server [ TEXT ]
ser_start [ TEXT ]
ser_exit [ TEXT ]
ser_time [ TEXT ]
client :
client_id [ TEXT ] primary_key
sex [ TEXT ]
day [ INTEGER ]
month [ INTEGER ]
year [ INTEGER ]
age [ INTEGER ]
social [ TEXT ]
first [ TEXT ]
middle [ TEXT ]
last [ TEXT ]
phone [ TEXT ]
email [ TEXT ]
address_1 [ TEXT ]
address_2 [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zipcode [ INTEGER ]
district_id [ INTEGER ] client.district_id = district.district_id
district :
district_id [ INTEGER ] primary_key
city [ TEXT ]
state_abbrev [ TEXT ] district.state_abbrev = state.StateCode
division [ TEXT ]
events :
Date received [ DATE ]
Product [ TEXT ]
Sub-product [ TEXT ]
Issue [ TEXT ]
Sub-issue [ TEXT ]
Consumer complaint narrative [ TEXT ]
Tags [ TEXT ]
Consumer consent provided? [ TEXT ]
Submitted via [ TEXT ]
Date sent to company [ TEXT ]
Company response to consumer [ TEXT ]
Timely response? [ TEXT ]
Consumer disputed? [ TEXT ]
Complaint ID [ TEXT ] events.Complaint ID = callcenterlogs.Complaint ID
Client_ID [ TEXT ] events.Client_ID = client.client_id
reviews :
Date [ DATE ] primary_key
Stars [ INTEGER ]
Reviews [ TEXT ]
Product [ TEXT ]
district_id [ INTEGER ] reviews.district_id = district.district_id
Please write me a SQL statement that answers the following question: How many clients who live in New York City have the complaint outcome as "AGENT"? [/INST] | SELECT COUNT(T2.`rand client`) FROM client AS T1 INNER JOIN callcenterlogs AS T2 ON T1.client_id = T2.`rand client` WHERE T1.city = 'New York City' AND T2.outcome = 'AGENT'; |
[INST] Here is a database schema:
state :
StateCode [ TEXT ] primary_key
State [ TEXT ]
Region [ TEXT ]
callcenterlogs :
Date received [ DATE ]
Complaint ID [ TEXT ] primary_key
rand client [ TEXT ] callcenterlogs.rand client = client.client_id
phonefinal [ TEXT ]
vru+line [ TEXT ]
call_id [ INTEGER ]
priority [ INTEGER ]
type [ TEXT ]
outcome [ TEXT ]
server [ TEXT ]
ser_start [ TEXT ]
ser_exit [ TEXT ]
ser_time [ TEXT ]
client :
client_id [ TEXT ] primary_key
sex [ TEXT ]
day [ INTEGER ]
month [ INTEGER ]
year [ INTEGER ]
age [ INTEGER ]
social [ TEXT ]
first [ TEXT ]
middle [ TEXT ]
last [ TEXT ]
phone [ TEXT ]
email [ TEXT ]
address_1 [ TEXT ]
address_2 [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zipcode [ INTEGER ]
district_id [ INTEGER ] client.district_id = district.district_id
district :
district_id [ INTEGER ] primary_key
city [ TEXT ]
state_abbrev [ TEXT ] district.state_abbrev = state.StateCode
division [ TEXT ]
events :
Date received [ DATE ]
Product [ TEXT ]
Sub-product [ TEXT ]
Issue [ TEXT ]
Sub-issue [ TEXT ]
Consumer complaint narrative [ TEXT ]
Tags [ TEXT ]
Consumer consent provided? [ TEXT ]
Submitted via [ TEXT ]
Date sent to company [ TEXT ]
Company response to consumer [ TEXT ]
Timely response? [ TEXT ]
Consumer disputed? [ TEXT ]
Complaint ID [ TEXT ] events.Complaint ID = callcenterlogs.Complaint ID
Client_ID [ TEXT ] events.Client_ID = client.client_id
reviews :
Date [ DATE ] primary_key
Stars [ INTEGER ]
Reviews [ TEXT ]
Product [ TEXT ]
district_id [ INTEGER ] reviews.district_id = district.district_id
Please write me a SQL statement that answers the following question: List down the full name of clients who have disputed the response from company. [/INST] | SELECT T1.first, T1.middle, T1.last FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T2.`Consumer disputed?` = 'Yes'; |
[INST] Here is a database schema:
state :
StateCode [ TEXT ] primary_key
State [ TEXT ]
Region [ TEXT ]
callcenterlogs :
Date received [ DATE ]
Complaint ID [ TEXT ] primary_key
rand client [ TEXT ] callcenterlogs.rand client = client.client_id
phonefinal [ TEXT ]
vru+line [ TEXT ]
call_id [ INTEGER ]
priority [ INTEGER ]
type [ TEXT ]
outcome [ TEXT ]
server [ TEXT ]
ser_start [ TEXT ]
ser_exit [ TEXT ]
ser_time [ TEXT ]
client :
client_id [ TEXT ] primary_key
sex [ TEXT ]
day [ INTEGER ]
month [ INTEGER ]
year [ INTEGER ]
age [ INTEGER ]
social [ TEXT ]
first [ TEXT ]
middle [ TEXT ]
last [ TEXT ]
phone [ TEXT ]
email [ TEXT ]
address_1 [ TEXT ]
address_2 [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zipcode [ INTEGER ]
district_id [ INTEGER ] client.district_id = district.district_id
district :
district_id [ INTEGER ] primary_key
city [ TEXT ]
state_abbrev [ TEXT ] district.state_abbrev = state.StateCode
division [ TEXT ]
events :
Date received [ DATE ]
Product [ TEXT ]
Sub-product [ TEXT ]
Issue [ TEXT ]
Sub-issue [ TEXT ]
Consumer complaint narrative [ TEXT ]
Tags [ TEXT ]
Consumer consent provided? [ TEXT ]
Submitted via [ TEXT ]
Date sent to company [ TEXT ]
Company response to consumer [ TEXT ]
Timely response? [ TEXT ]
Consumer disputed? [ TEXT ]
Complaint ID [ TEXT ] events.Complaint ID = callcenterlogs.Complaint ID
Client_ID [ TEXT ] events.Client_ID = client.client_id
reviews :
Date [ DATE ] primary_key
Stars [ INTEGER ]
Reviews [ TEXT ]
Product [ TEXT ]
district_id [ INTEGER ] reviews.district_id = district.district_id
Please write me a SQL statement that answers the following question: What are the complaint id of client who were born in 1931? [/INST] | SELECT T2.`Complaint ID` FROM client AS T1 INNER JOIN callcenterlogs AS T2 ON T1.client_id = T2.`rand client` WHERE T1.year = 1931; |
[INST] Here is a database schema:
state :
StateCode [ TEXT ] primary_key
State [ TEXT ]
Region [ TEXT ]
callcenterlogs :
Date received [ DATE ]
Complaint ID [ TEXT ] primary_key
rand client [ TEXT ] callcenterlogs.rand client = client.client_id
phonefinal [ TEXT ]
vru+line [ TEXT ]
call_id [ INTEGER ]
priority [ INTEGER ]
type [ TEXT ]
outcome [ TEXT ]
server [ TEXT ]
ser_start [ TEXT ]
ser_exit [ TEXT ]
ser_time [ TEXT ]
client :
client_id [ TEXT ] primary_key
sex [ TEXT ]
day [ INTEGER ]
month [ INTEGER ]
year [ INTEGER ]
age [ INTEGER ]
social [ TEXT ]
first [ TEXT ]
middle [ TEXT ]
last [ TEXT ]
phone [ TEXT ]
email [ TEXT ]
address_1 [ TEXT ]
address_2 [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zipcode [ INTEGER ]
district_id [ INTEGER ] client.district_id = district.district_id
district :
district_id [ INTEGER ] primary_key
city [ TEXT ]
state_abbrev [ TEXT ] district.state_abbrev = state.StateCode
division [ TEXT ]
events :
Date received [ DATE ]
Product [ TEXT ]
Sub-product [ TEXT ]
Issue [ TEXT ]
Sub-issue [ TEXT ]
Consumer complaint narrative [ TEXT ]
Tags [ TEXT ]
Consumer consent provided? [ TEXT ]
Submitted via [ TEXT ]
Date sent to company [ TEXT ]
Company response to consumer [ TEXT ]
Timely response? [ TEXT ]
Consumer disputed? [ TEXT ]
Complaint ID [ TEXT ] events.Complaint ID = callcenterlogs.Complaint ID
Client_ID [ TEXT ] events.Client_ID = client.client_id
reviews :
Date [ DATE ] primary_key
Stars [ INTEGER ]
Reviews [ TEXT ]
Product [ TEXT ]
district_id [ INTEGER ] reviews.district_id = district.district_id
Please write me a SQL statement that answers the following question: Calculate the percentage of complaints made by Google account client in server ZOHARI. [/INST] | SELECT CAST(SUM(CASE WHEN T1.email LIKE '%@gmail.com' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.email) FROM client AS T1 INNER JOIN callcenterlogs AS T2 ON T1.client_id = T2.`rand client` WHERE T2.server = 'ZOHARI'; |
[INST] Here is a database schema:
state :
StateCode [ TEXT ] primary_key
State [ TEXT ]
Region [ TEXT ]
callcenterlogs :
Date received [ DATE ]
Complaint ID [ TEXT ] primary_key
rand client [ TEXT ] callcenterlogs.rand client = client.client_id
phonefinal [ TEXT ]
vru+line [ TEXT ]
call_id [ INTEGER ]
priority [ INTEGER ]
type [ TEXT ]
outcome [ TEXT ]
server [ TEXT ]
ser_start [ TEXT ]
ser_exit [ TEXT ]
ser_time [ TEXT ]
client :
client_id [ TEXT ] primary_key
sex [ TEXT ]
day [ INTEGER ]
month [ INTEGER ]
year [ INTEGER ]
age [ INTEGER ]
social [ TEXT ]
first [ TEXT ]
middle [ TEXT ]
last [ TEXT ]
phone [ TEXT ]
email [ TEXT ]
address_1 [ TEXT ]
address_2 [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zipcode [ INTEGER ]
district_id [ INTEGER ] client.district_id = district.district_id
district :
district_id [ INTEGER ] primary_key
city [ TEXT ]
state_abbrev [ TEXT ] district.state_abbrev = state.StateCode
division [ TEXT ]
events :
Date received [ DATE ]
Product [ TEXT ]
Sub-product [ TEXT ]
Issue [ TEXT ]
Sub-issue [ TEXT ]
Consumer complaint narrative [ TEXT ]
Tags [ TEXT ]
Consumer consent provided? [ TEXT ]
Submitted via [ TEXT ]
Date sent to company [ TEXT ]
Company response to consumer [ TEXT ]
Timely response? [ TEXT ]
Consumer disputed? [ TEXT ]
Complaint ID [ TEXT ] events.Complaint ID = callcenterlogs.Complaint ID
Client_ID [ TEXT ] events.Client_ID = client.client_id
reviews :
Date [ DATE ] primary_key
Stars [ INTEGER ]
Reviews [ TEXT ]
Product [ TEXT ]
district_id [ INTEGER ] reviews.district_id = district.district_id
Please write me a SQL statement that answers the following question: State the full name of clients with server time of 20 minutes and above. [/INST] | SELECT T1.first, T1.middle, T1.last FROM client AS T1 INNER JOIN callcenterlogs AS T2 ON T1.client_id = T2.`rand client` WHERE strftime('%M', T2.ser_time) > '20'; |
[INST] Here is a database schema:
state :
StateCode [ TEXT ] primary_key
State [ TEXT ]
Region [ TEXT ]
callcenterlogs :
Date received [ DATE ]
Complaint ID [ TEXT ] primary_key
rand client [ TEXT ] callcenterlogs.rand client = client.client_id
phonefinal [ TEXT ]
vru+line [ TEXT ]
call_id [ INTEGER ]
priority [ INTEGER ]
type [ TEXT ]
outcome [ TEXT ]
server [ TEXT ]
ser_start [ TEXT ]
ser_exit [ TEXT ]
ser_time [ TEXT ]
client :
client_id [ TEXT ] primary_key
sex [ TEXT ]
day [ INTEGER ]
month [ INTEGER ]
year [ INTEGER ]
age [ INTEGER ]
social [ TEXT ]
first [ TEXT ]
middle [ TEXT ]
last [ TEXT ]
phone [ TEXT ]
email [ TEXT ]
address_1 [ TEXT ]
address_2 [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zipcode [ INTEGER ]
district_id [ INTEGER ] client.district_id = district.district_id
district :
district_id [ INTEGER ] primary_key
city [ TEXT ]
state_abbrev [ TEXT ] district.state_abbrev = state.StateCode
division [ TEXT ]
events :
Date received [ DATE ]
Product [ TEXT ]
Sub-product [ TEXT ]
Issue [ TEXT ]
Sub-issue [ TEXT ]
Consumer complaint narrative [ TEXT ]
Tags [ TEXT ]
Consumer consent provided? [ TEXT ]
Submitted via [ TEXT ]
Date sent to company [ TEXT ]
Company response to consumer [ TEXT ]
Timely response? [ TEXT ]
Consumer disputed? [ TEXT ]
Complaint ID [ TEXT ] events.Complaint ID = callcenterlogs.Complaint ID
Client_ID [ TEXT ] events.Client_ID = client.client_id
reviews :
Date [ DATE ] primary_key
Stars [ INTEGER ]
Reviews [ TEXT ]
Product [ TEXT ]
district_id [ INTEGER ] reviews.district_id = district.district_id
Please write me a SQL statement that answers the following question: Pick 5 clients with 0 priority and write down their last name. [/INST] | SELECT T1.last FROM client AS T1 INNER JOIN callcenterlogs AS T2 ON T1.client_id = T2.`rand client` WHERE T2.priority = 0 LIMIT 5; |
[INST] Here is a database schema:
state :
StateCode [ TEXT ] primary_key
State [ TEXT ]
Region [ TEXT ]
callcenterlogs :
Date received [ DATE ]
Complaint ID [ TEXT ] primary_key
rand client [ TEXT ] callcenterlogs.rand client = client.client_id
phonefinal [ TEXT ]
vru+line [ TEXT ]
call_id [ INTEGER ]
priority [ INTEGER ]
type [ TEXT ]
outcome [ TEXT ]
server [ TEXT ]
ser_start [ TEXT ]
ser_exit [ TEXT ]
ser_time [ TEXT ]
client :
client_id [ TEXT ] primary_key
sex [ TEXT ]
day [ INTEGER ]
month [ INTEGER ]
year [ INTEGER ]
age [ INTEGER ]
social [ TEXT ]
first [ TEXT ]
middle [ TEXT ]
last [ TEXT ]
phone [ TEXT ]
email [ TEXT ]
address_1 [ TEXT ]
address_2 [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zipcode [ INTEGER ]
district_id [ INTEGER ] client.district_id = district.district_id
district :
district_id [ INTEGER ] primary_key
city [ TEXT ]
state_abbrev [ TEXT ] district.state_abbrev = state.StateCode
division [ TEXT ]
events :
Date received [ DATE ]
Product [ TEXT ]
Sub-product [ TEXT ]
Issue [ TEXT ]
Sub-issue [ TEXT ]
Consumer complaint narrative [ TEXT ]
Tags [ TEXT ]
Consumer consent provided? [ TEXT ]
Submitted via [ TEXT ]
Date sent to company [ TEXT ]
Company response to consumer [ TEXT ]
Timely response? [ TEXT ]
Consumer disputed? [ TEXT ]
Complaint ID [ TEXT ] events.Complaint ID = callcenterlogs.Complaint ID
Client_ID [ TEXT ] events.Client_ID = client.client_id
reviews :
Date [ DATE ] primary_key
Stars [ INTEGER ]
Reviews [ TEXT ]
Product [ TEXT ]
district_id [ INTEGER ] reviews.district_id = district.district_id
Please write me a SQL statement that answers the following question: Write down the call id of clients whose first name start with alphabet "B". [/INST] | SELECT T2.call_id FROM client AS T1 INNER JOIN callcenterlogs AS T2 ON T1.client_id = T2.`rand client` WHERE T1.first LIKE 'B%'; |
[INST] Here is a database schema:
state :
StateCode [ TEXT ] primary_key
State [ TEXT ]
Region [ TEXT ]
callcenterlogs :
Date received [ DATE ]
Complaint ID [ TEXT ] primary_key
rand client [ TEXT ] callcenterlogs.rand client = client.client_id
phonefinal [ TEXT ]
vru+line [ TEXT ]
call_id [ INTEGER ]
priority [ INTEGER ]
type [ TEXT ]
outcome [ TEXT ]
server [ TEXT ]
ser_start [ TEXT ]
ser_exit [ TEXT ]
ser_time [ TEXT ]
client :
client_id [ TEXT ] primary_key
sex [ TEXT ]
day [ INTEGER ]
month [ INTEGER ]
year [ INTEGER ]
age [ INTEGER ]
social [ TEXT ]
first [ TEXT ]
middle [ TEXT ]
last [ TEXT ]
phone [ TEXT ]
email [ TEXT ]
address_1 [ TEXT ]
address_2 [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zipcode [ INTEGER ]
district_id [ INTEGER ] client.district_id = district.district_id
district :
district_id [ INTEGER ] primary_key
city [ TEXT ]
state_abbrev [ TEXT ] district.state_abbrev = state.StateCode
division [ TEXT ]
events :
Date received [ DATE ]
Product [ TEXT ]
Sub-product [ TEXT ]
Issue [ TEXT ]
Sub-issue [ TEXT ]
Consumer complaint narrative [ TEXT ]
Tags [ TEXT ]
Consumer consent provided? [ TEXT ]
Submitted via [ TEXT ]
Date sent to company [ TEXT ]
Company response to consumer [ TEXT ]
Timely response? [ TEXT ]
Consumer disputed? [ TEXT ]
Complaint ID [ TEXT ] events.Complaint ID = callcenterlogs.Complaint ID
Client_ID [ TEXT ] events.Client_ID = client.client_id
reviews :
Date [ DATE ] primary_key
Stars [ INTEGER ]
Reviews [ TEXT ]
Product [ TEXT ]
district_id [ INTEGER ] reviews.district_id = district.district_id
Please write me a SQL statement that answers the following question: What is the product complained by Alexander Bronx Lewis? [/INST] | SELECT DISTINCT T2.Product FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T1.first = 'Alexander' AND T1.middle = 'Bronx' AND T1.last = 'Lewis'; |
[INST] Here is a database schema:
state :
StateCode [ TEXT ] primary_key
State [ TEXT ]
Region [ TEXT ]
callcenterlogs :
Date received [ DATE ]
Complaint ID [ TEXT ] primary_key
rand client [ TEXT ] callcenterlogs.rand client = client.client_id
phonefinal [ TEXT ]
vru+line [ TEXT ]
call_id [ INTEGER ]
priority [ INTEGER ]
type [ TEXT ]
outcome [ TEXT ]
server [ TEXT ]
ser_start [ TEXT ]
ser_exit [ TEXT ]
ser_time [ TEXT ]
client :
client_id [ TEXT ] primary_key
sex [ TEXT ]
day [ INTEGER ]
month [ INTEGER ]
year [ INTEGER ]
age [ INTEGER ]
social [ TEXT ]
first [ TEXT ]
middle [ TEXT ]
last [ TEXT ]
phone [ TEXT ]
email [ TEXT ]
address_1 [ TEXT ]
address_2 [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zipcode [ INTEGER ]
district_id [ INTEGER ] client.district_id = district.district_id
district :
district_id [ INTEGER ] primary_key
city [ TEXT ]
state_abbrev [ TEXT ] district.state_abbrev = state.StateCode
division [ TEXT ]
events :
Date received [ DATE ]
Product [ TEXT ]
Sub-product [ TEXT ]
Issue [ TEXT ]
Sub-issue [ TEXT ]
Consumer complaint narrative [ TEXT ]
Tags [ TEXT ]
Consumer consent provided? [ TEXT ]
Submitted via [ TEXT ]
Date sent to company [ TEXT ]
Company response to consumer [ TEXT ]
Timely response? [ TEXT ]
Consumer disputed? [ TEXT ]
Complaint ID [ TEXT ] events.Complaint ID = callcenterlogs.Complaint ID
Client_ID [ TEXT ] events.Client_ID = client.client_id
reviews :
Date [ DATE ] primary_key
Stars [ INTEGER ]
Reviews [ TEXT ]
Product [ TEXT ]
district_id [ INTEGER ] reviews.district_id = district.district_id
Please write me a SQL statement that answers the following question: State the first name of male clients who did not receive timely response from the call center. [/INST] | SELECT T1.first FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T2.`Timely response?` = 'No' AND T1.sex = 'Male'; |
[INST] Here is a database schema:
state :
StateCode [ TEXT ] primary_key
State [ TEXT ]
Region [ TEXT ]
callcenterlogs :
Date received [ DATE ]
Complaint ID [ TEXT ] primary_key
rand client [ TEXT ] callcenterlogs.rand client = client.client_id
phonefinal [ TEXT ]
vru+line [ TEXT ]
call_id [ INTEGER ]
priority [ INTEGER ]
type [ TEXT ]
outcome [ TEXT ]
server [ TEXT ]
ser_start [ TEXT ]
ser_exit [ TEXT ]
ser_time [ TEXT ]
client :
client_id [ TEXT ] primary_key
sex [ TEXT ]
day [ INTEGER ]
month [ INTEGER ]
year [ INTEGER ]
age [ INTEGER ]
social [ TEXT ]
first [ TEXT ]
middle [ TEXT ]
last [ TEXT ]
phone [ TEXT ]
email [ TEXT ]
address_1 [ TEXT ]
address_2 [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zipcode [ INTEGER ]
district_id [ INTEGER ] client.district_id = district.district_id
district :
district_id [ INTEGER ] primary_key
city [ TEXT ]
state_abbrev [ TEXT ] district.state_abbrev = state.StateCode
division [ TEXT ]
events :
Date received [ DATE ]
Product [ TEXT ]
Sub-product [ TEXT ]
Issue [ TEXT ]
Sub-issue [ TEXT ]
Consumer complaint narrative [ TEXT ]
Tags [ TEXT ]
Consumer consent provided? [ TEXT ]
Submitted via [ TEXT ]
Date sent to company [ TEXT ]
Company response to consumer [ TEXT ]
Timely response? [ TEXT ]
Consumer disputed? [ TEXT ]
Complaint ID [ TEXT ] events.Complaint ID = callcenterlogs.Complaint ID
Client_ID [ TEXT ] events.Client_ID = client.client_id
reviews :
Date [ DATE ] primary_key
Stars [ INTEGER ]
Reviews [ TEXT ]
Product [ TEXT ]
district_id [ INTEGER ] reviews.district_id = district.district_id
Please write me a SQL statement that answers the following question: Which product received the most complaints from elder clients? [/INST] | SELECT T2.Product FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T1.age > 65 ORDER BY T1.client_id DESC LIMIT 1; |
[INST] Here is a database schema:
state :
StateCode [ TEXT ] primary_key
State [ TEXT ]
Region [ TEXT ]
callcenterlogs :
Date received [ DATE ]
Complaint ID [ TEXT ] primary_key
rand client [ TEXT ] callcenterlogs.rand client = client.client_id
phonefinal [ TEXT ]
vru+line [ TEXT ]
call_id [ INTEGER ]
priority [ INTEGER ]
type [ TEXT ]
outcome [ TEXT ]
server [ TEXT ]
ser_start [ TEXT ]
ser_exit [ TEXT ]
ser_time [ TEXT ]
client :
client_id [ TEXT ] primary_key
sex [ TEXT ]
day [ INTEGER ]
month [ INTEGER ]
year [ INTEGER ]
age [ INTEGER ]
social [ TEXT ]
first [ TEXT ]
middle [ TEXT ]
last [ TEXT ]
phone [ TEXT ]
email [ TEXT ]
address_1 [ TEXT ]
address_2 [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zipcode [ INTEGER ]
district_id [ INTEGER ] client.district_id = district.district_id
district :
district_id [ INTEGER ] primary_key
city [ TEXT ]
state_abbrev [ TEXT ] district.state_abbrev = state.StateCode
division [ TEXT ]
events :
Date received [ DATE ]
Product [ TEXT ]
Sub-product [ TEXT ]
Issue [ TEXT ]
Sub-issue [ TEXT ]
Consumer complaint narrative [ TEXT ]
Tags [ TEXT ]
Consumer consent provided? [ TEXT ]
Submitted via [ TEXT ]
Date sent to company [ TEXT ]
Company response to consumer [ TEXT ]
Timely response? [ TEXT ]
Consumer disputed? [ TEXT ]
Complaint ID [ TEXT ] events.Complaint ID = callcenterlogs.Complaint ID
Client_ID [ TEXT ] events.Client_ID = client.client_id
reviews :
Date [ DATE ] primary_key
Stars [ INTEGER ]
Reviews [ TEXT ]
Product [ TEXT ]
district_id [ INTEGER ] reviews.district_id = district.district_id
Please write me a SQL statement that answers the following question: Complaint about Credit Card mostly came from clients of which age group? [/INST] | SELECT SUM(CASE WHEN T1.age > 13 AND T1.age <= 19 THEN 1 ELSE 0 END), SUM(CASE WHEN T1.age > 19 AND T1.age <= 65 THEN 1 ELSE 0 END) AS adult , SUM(CASE WHEN T1.age > 65 THEN 1 ELSE 0 END) AS elder FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T2.Product = 'Credit card'; |
[INST] Here is a database schema:
state :
StateCode [ TEXT ] primary_key
State [ TEXT ]
Region [ TEXT ]
callcenterlogs :
Date received [ DATE ]
Complaint ID [ TEXT ] primary_key
rand client [ TEXT ] callcenterlogs.rand client = client.client_id
phonefinal [ TEXT ]
vru+line [ TEXT ]
call_id [ INTEGER ]
priority [ INTEGER ]
type [ TEXT ]
outcome [ TEXT ]
server [ TEXT ]
ser_start [ TEXT ]
ser_exit [ TEXT ]
ser_time [ TEXT ]
client :
client_id [ TEXT ] primary_key
sex [ TEXT ]
day [ INTEGER ]
month [ INTEGER ]
year [ INTEGER ]
age [ INTEGER ]
social [ TEXT ]
first [ TEXT ]
middle [ TEXT ]
last [ TEXT ]
phone [ TEXT ]
email [ TEXT ]
address_1 [ TEXT ]
address_2 [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zipcode [ INTEGER ]
district_id [ INTEGER ] client.district_id = district.district_id
district :
district_id [ INTEGER ] primary_key
city [ TEXT ]
state_abbrev [ TEXT ] district.state_abbrev = state.StateCode
division [ TEXT ]
events :
Date received [ DATE ]
Product [ TEXT ]
Sub-product [ TEXT ]
Issue [ TEXT ]
Sub-issue [ TEXT ]
Consumer complaint narrative [ TEXT ]
Tags [ TEXT ]
Consumer consent provided? [ TEXT ]
Submitted via [ TEXT ]
Date sent to company [ TEXT ]
Company response to consumer [ TEXT ]
Timely response? [ TEXT ]
Consumer disputed? [ TEXT ]
Complaint ID [ TEXT ] events.Complaint ID = callcenterlogs.Complaint ID
Client_ID [ TEXT ] events.Client_ID = client.client_id
reviews :
Date [ DATE ] primary_key
Stars [ INTEGER ]
Reviews [ TEXT ]
Product [ TEXT ]
district_id [ INTEGER ] reviews.district_id = district.district_id
Please write me a SQL statement that answers the following question: List down the issues for complaint with server time of below 10 minutes. [/INST] | SELECT T2.Issue FROM callcenterlogs AS T1 INNER JOIN events AS T2 ON T1.`Complaint ID` = T2.`Complaint ID` WHERE strftime('%M', T1.ser_time) < '10'; |
[INST] Here is a database schema:
state :
StateCode [ TEXT ] primary_key
State [ TEXT ]
Region [ TEXT ]
callcenterlogs :
Date received [ DATE ]
Complaint ID [ TEXT ] primary_key
rand client [ TEXT ] callcenterlogs.rand client = client.client_id
phonefinal [ TEXT ]
vru+line [ TEXT ]
call_id [ INTEGER ]
priority [ INTEGER ]
type [ TEXT ]
outcome [ TEXT ]
server [ TEXT ]
ser_start [ TEXT ]
ser_exit [ TEXT ]
ser_time [ TEXT ]
client :
client_id [ TEXT ] primary_key
sex [ TEXT ]
day [ INTEGER ]
month [ INTEGER ]
year [ INTEGER ]
age [ INTEGER ]
social [ TEXT ]
first [ TEXT ]
middle [ TEXT ]
last [ TEXT ]
phone [ TEXT ]
email [ TEXT ]
address_1 [ TEXT ]
address_2 [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zipcode [ INTEGER ]
district_id [ INTEGER ] client.district_id = district.district_id
district :
district_id [ INTEGER ] primary_key
city [ TEXT ]
state_abbrev [ TEXT ] district.state_abbrev = state.StateCode
division [ TEXT ]
events :
Date received [ DATE ]
Product [ TEXT ]
Sub-product [ TEXT ]
Issue [ TEXT ]
Sub-issue [ TEXT ]
Consumer complaint narrative [ TEXT ]
Tags [ TEXT ]
Consumer consent provided? [ TEXT ]
Submitted via [ TEXT ]
Date sent to company [ TEXT ]
Company response to consumer [ TEXT ]
Timely response? [ TEXT ]
Consumer disputed? [ TEXT ]
Complaint ID [ TEXT ] events.Complaint ID = callcenterlogs.Complaint ID
Client_ID [ TEXT ] events.Client_ID = client.client_id
reviews :
Date [ DATE ] primary_key
Stars [ INTEGER ]
Reviews [ TEXT ]
Product [ TEXT ]
district_id [ INTEGER ] reviews.district_id = district.district_id
Please write me a SQL statement that answers the following question: Write down the date received of complaints sent via Fax. [/INST] | SELECT T1.`Date received` FROM callcenterlogs AS T1 INNER JOIN events AS T2 ON T1.`Complaint ID` = T2.`Complaint ID` WHERE T2.`Submitted via` = 'Fax'; |
[INST] Here is a database schema:
state :
StateCode [ TEXT ] primary_key
State [ TEXT ]
Region [ TEXT ]
callcenterlogs :
Date received [ DATE ]
Complaint ID [ TEXT ] primary_key
rand client [ TEXT ] callcenterlogs.rand client = client.client_id
phonefinal [ TEXT ]
vru+line [ TEXT ]
call_id [ INTEGER ]
priority [ INTEGER ]
type [ TEXT ]
outcome [ TEXT ]
server [ TEXT ]
ser_start [ TEXT ]
ser_exit [ TEXT ]
ser_time [ TEXT ]
client :
client_id [ TEXT ] primary_key
sex [ TEXT ]
day [ INTEGER ]
month [ INTEGER ]
year [ INTEGER ]
age [ INTEGER ]
social [ TEXT ]
first [ TEXT ]
middle [ TEXT ]
last [ TEXT ]
phone [ TEXT ]
email [ TEXT ]
address_1 [ TEXT ]
address_2 [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zipcode [ INTEGER ]
district_id [ INTEGER ] client.district_id = district.district_id
district :
district_id [ INTEGER ] primary_key
city [ TEXT ]
state_abbrev [ TEXT ] district.state_abbrev = state.StateCode
division [ TEXT ]
events :
Date received [ DATE ]
Product [ TEXT ]
Sub-product [ TEXT ]
Issue [ TEXT ]
Sub-issue [ TEXT ]
Consumer complaint narrative [ TEXT ]
Tags [ TEXT ]
Consumer consent provided? [ TEXT ]
Submitted via [ TEXT ]
Date sent to company [ TEXT ]
Company response to consumer [ TEXT ]
Timely response? [ TEXT ]
Consumer disputed? [ TEXT ]
Complaint ID [ TEXT ] events.Complaint ID = callcenterlogs.Complaint ID
Client_ID [ TEXT ] events.Client_ID = client.client_id
reviews :
Date [ DATE ] primary_key
Stars [ INTEGER ]
Reviews [ TEXT ]
Product [ TEXT ]
district_id [ INTEGER ] reviews.district_id = district.district_id
Please write me a SQL statement that answers the following question: What is the full name of clients who have issue about balance transfer? [/INST] | SELECT T1.first, T1.middle, T1.last FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T2.Issue = 'Balance transfer'; |
[INST] Here is a database schema:
state :
StateCode [ TEXT ] primary_key
State [ TEXT ]
Region [ TEXT ]
callcenterlogs :
Date received [ DATE ]
Complaint ID [ TEXT ] primary_key
rand client [ TEXT ] callcenterlogs.rand client = client.client_id
phonefinal [ TEXT ]
vru+line [ TEXT ]
call_id [ INTEGER ]
priority [ INTEGER ]
type [ TEXT ]
outcome [ TEXT ]
server [ TEXT ]
ser_start [ TEXT ]
ser_exit [ TEXT ]
ser_time [ TEXT ]
client :
client_id [ TEXT ] primary_key
sex [ TEXT ]
day [ INTEGER ]
month [ INTEGER ]
year [ INTEGER ]
age [ INTEGER ]
social [ TEXT ]
first [ TEXT ]
middle [ TEXT ]
last [ TEXT ]
phone [ TEXT ]
email [ TEXT ]
address_1 [ TEXT ]
address_2 [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zipcode [ INTEGER ]
district_id [ INTEGER ] client.district_id = district.district_id
district :
district_id [ INTEGER ] primary_key
city [ TEXT ]
state_abbrev [ TEXT ] district.state_abbrev = state.StateCode
division [ TEXT ]
events :
Date received [ DATE ]
Product [ TEXT ]
Sub-product [ TEXT ]
Issue [ TEXT ]
Sub-issue [ TEXT ]
Consumer complaint narrative [ TEXT ]
Tags [ TEXT ]
Consumer consent provided? [ TEXT ]
Submitted via [ TEXT ]
Date sent to company [ TEXT ]
Company response to consumer [ TEXT ]
Timely response? [ TEXT ]
Consumer disputed? [ TEXT ]
Complaint ID [ TEXT ] events.Complaint ID = callcenterlogs.Complaint ID
Client_ID [ TEXT ] events.Client_ID = client.client_id
reviews :
Date [ DATE ] primary_key
Stars [ INTEGER ]
Reviews [ TEXT ]
Product [ TEXT ]
district_id [ INTEGER ] reviews.district_id = district.district_id
Please write me a SQL statement that answers the following question: What is the email address of clients who submitted their complaints via postal mail? [/INST] | SELECT T1.email FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T2.`Submitted via` = 'Postal mail'; |
[INST] Here is a database schema:
state :
StateCode [ TEXT ] primary_key
State [ TEXT ]
Region [ TEXT ]
callcenterlogs :
Date received [ DATE ]
Complaint ID [ TEXT ] primary_key
rand client [ TEXT ] callcenterlogs.rand client = client.client_id
phonefinal [ TEXT ]
vru+line [ TEXT ]
call_id [ INTEGER ]
priority [ INTEGER ]
type [ TEXT ]
outcome [ TEXT ]
server [ TEXT ]
ser_start [ TEXT ]
ser_exit [ TEXT ]
ser_time [ TEXT ]
client :
client_id [ TEXT ] primary_key
sex [ TEXT ]
day [ INTEGER ]
month [ INTEGER ]
year [ INTEGER ]
age [ INTEGER ]
social [ TEXT ]
first [ TEXT ]
middle [ TEXT ]
last [ TEXT ]
phone [ TEXT ]
email [ TEXT ]
address_1 [ TEXT ]
address_2 [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zipcode [ INTEGER ]
district_id [ INTEGER ] client.district_id = district.district_id
district :
district_id [ INTEGER ] primary_key
city [ TEXT ]
state_abbrev [ TEXT ] district.state_abbrev = state.StateCode
division [ TEXT ]
events :
Date received [ DATE ]
Product [ TEXT ]
Sub-product [ TEXT ]
Issue [ TEXT ]
Sub-issue [ TEXT ]
Consumer complaint narrative [ TEXT ]
Tags [ TEXT ]
Consumer consent provided? [ TEXT ]
Submitted via [ TEXT ]
Date sent to company [ TEXT ]
Company response to consumer [ TEXT ]
Timely response? [ TEXT ]
Consumer disputed? [ TEXT ]
Complaint ID [ TEXT ] events.Complaint ID = callcenterlogs.Complaint ID
Client_ID [ TEXT ] events.Client_ID = client.client_id
reviews :
Date [ DATE ] primary_key
Stars [ INTEGER ]
Reviews [ TEXT ]
Product [ TEXT ]
district_id [ INTEGER ] reviews.district_id = district.district_id
Please write me a SQL statement that answers the following question: Calculate the average age of clients whose response is "Closed with relief". [/INST] | SELECT AVG(T1.age) FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T2.`Company response to consumer` = 'Closed with relief'; |
[INST] Here is a database schema:
state :
StateCode [ TEXT ] primary_key
State [ TEXT ]
Region [ TEXT ]
callcenterlogs :
Date received [ DATE ]
Complaint ID [ TEXT ] primary_key
rand client [ TEXT ] callcenterlogs.rand client = client.client_id
phonefinal [ TEXT ]
vru+line [ TEXT ]
call_id [ INTEGER ]
priority [ INTEGER ]
type [ TEXT ]
outcome [ TEXT ]
server [ TEXT ]
ser_start [ TEXT ]
ser_exit [ TEXT ]
ser_time [ TEXT ]
client :
client_id [ TEXT ] primary_key
sex [ TEXT ]
day [ INTEGER ]
month [ INTEGER ]
year [ INTEGER ]
age [ INTEGER ]
social [ TEXT ]
first [ TEXT ]
middle [ TEXT ]
last [ TEXT ]
phone [ TEXT ]
email [ TEXT ]
address_1 [ TEXT ]
address_2 [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zipcode [ INTEGER ]
district_id [ INTEGER ] client.district_id = district.district_id
district :
district_id [ INTEGER ] primary_key
city [ TEXT ]
state_abbrev [ TEXT ] district.state_abbrev = state.StateCode
division [ TEXT ]
events :
Date received [ DATE ]
Product [ TEXT ]
Sub-product [ TEXT ]
Issue [ TEXT ]
Sub-issue [ TEXT ]
Consumer complaint narrative [ TEXT ]
Tags [ TEXT ]
Consumer consent provided? [ TEXT ]
Submitted via [ TEXT ]
Date sent to company [ TEXT ]
Company response to consumer [ TEXT ]
Timely response? [ TEXT ]
Consumer disputed? [ TEXT ]
Complaint ID [ TEXT ] events.Complaint ID = callcenterlogs.Complaint ID
Client_ID [ TEXT ] events.Client_ID = client.client_id
reviews :
Date [ DATE ] primary_key
Stars [ INTEGER ]
Reviews [ TEXT ]
Product [ TEXT ]
district_id [ INTEGER ] reviews.district_id = district.district_id
Please write me a SQL statement that answers the following question: What is the average age of clients whose complaint type is "TT"? [/INST] | SELECT AVG(T1.age) FROM client AS T1 INNER JOIN callcenterlogs AS T2 ON T1.client_id = T2.`rand client` WHERE T2.type = 'TT'; |
[INST] Here is a database schema:
state :
StateCode [ TEXT ] primary_key
State [ TEXT ]
Region [ TEXT ]
callcenterlogs :
Date received [ DATE ]
Complaint ID [ TEXT ] primary_key
rand client [ TEXT ] callcenterlogs.rand client = client.client_id
phonefinal [ TEXT ]
vru+line [ TEXT ]
call_id [ INTEGER ]
priority [ INTEGER ]
type [ TEXT ]
outcome [ TEXT ]
server [ TEXT ]
ser_start [ TEXT ]
ser_exit [ TEXT ]
ser_time [ TEXT ]
client :
client_id [ TEXT ] primary_key
sex [ TEXT ]
day [ INTEGER ]
month [ INTEGER ]
year [ INTEGER ]
age [ INTEGER ]
social [ TEXT ]
first [ TEXT ]
middle [ TEXT ]
last [ TEXT ]
phone [ TEXT ]
email [ TEXT ]
address_1 [ TEXT ]
address_2 [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zipcode [ INTEGER ]
district_id [ INTEGER ] client.district_id = district.district_id
district :
district_id [ INTEGER ] primary_key
city [ TEXT ]
state_abbrev [ TEXT ] district.state_abbrev = state.StateCode
division [ TEXT ]
events :
Date received [ DATE ]
Product [ TEXT ]
Sub-product [ TEXT ]
Issue [ TEXT ]
Sub-issue [ TEXT ]
Consumer complaint narrative [ TEXT ]
Tags [ TEXT ]
Consumer consent provided? [ TEXT ]
Submitted via [ TEXT ]
Date sent to company [ TEXT ]
Company response to consumer [ TEXT ]
Timely response? [ TEXT ]
Consumer disputed? [ TEXT ]
Complaint ID [ TEXT ] events.Complaint ID = callcenterlogs.Complaint ID
Client_ID [ TEXT ] events.Client_ID = client.client_id
reviews :
Date [ DATE ] primary_key
Stars [ INTEGER ]
Reviews [ TEXT ]
Product [ TEXT ]
district_id [ INTEGER ] reviews.district_id = district.district_id
Please write me a SQL statement that answers the following question: Write the complaint ID, call ID, and final phone number of complaints through AVIDAN server from 1/1/2014 to 12/30/2014. [/INST] | SELECT `Complaint ID`, call_id, phonefinal FROM callcenterlogs WHERE strftime('%Y', `Date received`) = '2014' AND server = 'AVIDAN'; |
[INST] Here is a database schema:
state :
StateCode [ TEXT ] primary_key
State [ TEXT ]
Region [ TEXT ]
callcenterlogs :
Date received [ DATE ]
Complaint ID [ TEXT ] primary_key
rand client [ TEXT ] callcenterlogs.rand client = client.client_id
phonefinal [ TEXT ]
vru+line [ TEXT ]
call_id [ INTEGER ]
priority [ INTEGER ]
type [ TEXT ]
outcome [ TEXT ]
server [ TEXT ]
ser_start [ TEXT ]
ser_exit [ TEXT ]
ser_time [ TEXT ]
client :
client_id [ TEXT ] primary_key
sex [ TEXT ]
day [ INTEGER ]
month [ INTEGER ]
year [ INTEGER ]
age [ INTEGER ]
social [ TEXT ]
first [ TEXT ]
middle [ TEXT ]
last [ TEXT ]
phone [ TEXT ]
email [ TEXT ]
address_1 [ TEXT ]
address_2 [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zipcode [ INTEGER ]
district_id [ INTEGER ] client.district_id = district.district_id
district :
district_id [ INTEGER ] primary_key
city [ TEXT ]
state_abbrev [ TEXT ] district.state_abbrev = state.StateCode
division [ TEXT ]
events :
Date received [ DATE ]
Product [ TEXT ]
Sub-product [ TEXT ]
Issue [ TEXT ]
Sub-issue [ TEXT ]
Consumer complaint narrative [ TEXT ]
Tags [ TEXT ]
Consumer consent provided? [ TEXT ]
Submitted via [ TEXT ]
Date sent to company [ TEXT ]
Company response to consumer [ TEXT ]
Timely response? [ TEXT ]
Consumer disputed? [ TEXT ]
Complaint ID [ TEXT ] events.Complaint ID = callcenterlogs.Complaint ID
Client_ID [ TEXT ] events.Client_ID = client.client_id
reviews :
Date [ DATE ] primary_key
Stars [ INTEGER ]
Reviews [ TEXT ]
Product [ TEXT ]
district_id [ INTEGER ] reviews.district_id = district.district_id
Please write me a SQL statement that answers the following question: Between 1/1/2017 and 4/1/2017, what is the average server time of calls under the server DARMON? [/INST] | SELECT AVG(CAST(SUBSTR(ser_time, 4, 2) AS REAL)) FROM callcenterlogs WHERE `Date received` BETWEEN '2017-01-01' AND '2017-04-01'; |
[INST] Here is a database schema:
state :
StateCode [ TEXT ] primary_key
State [ TEXT ]
Region [ TEXT ]
callcenterlogs :
Date received [ DATE ]
Complaint ID [ TEXT ] primary_key
rand client [ TEXT ] callcenterlogs.rand client = client.client_id
phonefinal [ TEXT ]
vru+line [ TEXT ]
call_id [ INTEGER ]
priority [ INTEGER ]
type [ TEXT ]
outcome [ TEXT ]
server [ TEXT ]
ser_start [ TEXT ]
ser_exit [ TEXT ]
ser_time [ TEXT ]
client :
client_id [ TEXT ] primary_key
sex [ TEXT ]
day [ INTEGER ]
month [ INTEGER ]
year [ INTEGER ]
age [ INTEGER ]
social [ TEXT ]
first [ TEXT ]
middle [ TEXT ]
last [ TEXT ]
phone [ TEXT ]
email [ TEXT ]
address_1 [ TEXT ]
address_2 [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zipcode [ INTEGER ]
district_id [ INTEGER ] client.district_id = district.district_id
district :
district_id [ INTEGER ] primary_key
city [ TEXT ]
state_abbrev [ TEXT ] district.state_abbrev = state.StateCode
division [ TEXT ]
events :
Date received [ DATE ]
Product [ TEXT ]
Sub-product [ TEXT ]
Issue [ TEXT ]
Sub-issue [ TEXT ]
Consumer complaint narrative [ TEXT ]
Tags [ TEXT ]
Consumer consent provided? [ TEXT ]
Submitted via [ TEXT ]
Date sent to company [ TEXT ]
Company response to consumer [ TEXT ]
Timely response? [ TEXT ]
Consumer disputed? [ TEXT ]
Complaint ID [ TEXT ] events.Complaint ID = callcenterlogs.Complaint ID
Client_ID [ TEXT ] events.Client_ID = client.client_id
reviews :
Date [ DATE ] primary_key
Stars [ INTEGER ]
Reviews [ TEXT ]
Product [ TEXT ]
district_id [ INTEGER ] reviews.district_id = district.district_id
Please write me a SQL statement that answers the following question: How many times per year does a credit card customer complain about overlimit fees? [/INST] | SELECT strftime('%Y', `Date received`), COUNT(`Date received`) FROM events WHERE product = 'Credit card' AND issue = 'Overlimit fee' GROUP BY strftime('%Y', `Date received`) HAVING COUNT(`Date received`); |
[INST] Here is a database schema:
state :
StateCode [ TEXT ] primary_key
State [ TEXT ]
Region [ TEXT ]
callcenterlogs :
Date received [ DATE ]
Complaint ID [ TEXT ] primary_key
rand client [ TEXT ] callcenterlogs.rand client = client.client_id
phonefinal [ TEXT ]
vru+line [ TEXT ]
call_id [ INTEGER ]
priority [ INTEGER ]
type [ TEXT ]
outcome [ TEXT ]
server [ TEXT ]
ser_start [ TEXT ]
ser_exit [ TEXT ]
ser_time [ TEXT ]
client :
client_id [ TEXT ] primary_key
sex [ TEXT ]
day [ INTEGER ]
month [ INTEGER ]
year [ INTEGER ]
age [ INTEGER ]
social [ TEXT ]
first [ TEXT ]
middle [ TEXT ]
last [ TEXT ]
phone [ TEXT ]
email [ TEXT ]
address_1 [ TEXT ]
address_2 [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zipcode [ INTEGER ]
district_id [ INTEGER ] client.district_id = district.district_id
district :
district_id [ INTEGER ] primary_key
city [ TEXT ]
state_abbrev [ TEXT ] district.state_abbrev = state.StateCode
division [ TEXT ]
events :
Date received [ DATE ]
Product [ TEXT ]
Sub-product [ TEXT ]
Issue [ TEXT ]
Sub-issue [ TEXT ]
Consumer complaint narrative [ TEXT ]
Tags [ TEXT ]
Consumer consent provided? [ TEXT ]
Submitted via [ TEXT ]
Date sent to company [ TEXT ]
Company response to consumer [ TEXT ]
Timely response? [ TEXT ]
Consumer disputed? [ TEXT ]
Complaint ID [ TEXT ] events.Complaint ID = callcenterlogs.Complaint ID
Client_ID [ TEXT ] events.Client_ID = client.client_id
reviews :
Date [ DATE ] primary_key
Stars [ INTEGER ]
Reviews [ TEXT ]
Product [ TEXT ]
district_id [ INTEGER ] reviews.district_id = district.district_id
Please write me a SQL statement that answers the following question: Among the clients in Middle Atlantic, how many are them are female and no more than 18 years old? [/INST] | SELECT COUNT(T1.sex) FROM client AS T1 INNER JOIN district AS T2 ON T1.district_id = T2.district_id WHERE T2.division = 'Middle Atlantic' AND T1.sex = 'Female' AND T1.age < 18; |
[INST] Here is a database schema:
state :
StateCode [ TEXT ] primary_key
State [ TEXT ]
Region [ TEXT ]
callcenterlogs :
Date received [ DATE ]
Complaint ID [ TEXT ] primary_key
rand client [ TEXT ] callcenterlogs.rand client = client.client_id
phonefinal [ TEXT ]
vru+line [ TEXT ]
call_id [ INTEGER ]
priority [ INTEGER ]
type [ TEXT ]
outcome [ TEXT ]
server [ TEXT ]
ser_start [ TEXT ]
ser_exit [ TEXT ]
ser_time [ TEXT ]
client :
client_id [ TEXT ] primary_key
sex [ TEXT ]
day [ INTEGER ]
month [ INTEGER ]
year [ INTEGER ]
age [ INTEGER ]
social [ TEXT ]
first [ TEXT ]
middle [ TEXT ]
last [ TEXT ]
phone [ TEXT ]
email [ TEXT ]
address_1 [ TEXT ]
address_2 [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zipcode [ INTEGER ]
district_id [ INTEGER ] client.district_id = district.district_id
district :
district_id [ INTEGER ] primary_key
city [ TEXT ]
state_abbrev [ TEXT ] district.state_abbrev = state.StateCode
division [ TEXT ]
events :
Date received [ DATE ]
Product [ TEXT ]
Sub-product [ TEXT ]
Issue [ TEXT ]
Sub-issue [ TEXT ]
Consumer complaint narrative [ TEXT ]
Tags [ TEXT ]
Consumer consent provided? [ TEXT ]
Submitted via [ TEXT ]
Date sent to company [ TEXT ]
Company response to consumer [ TEXT ]
Timely response? [ TEXT ]
Consumer disputed? [ TEXT ]
Complaint ID [ TEXT ] events.Complaint ID = callcenterlogs.Complaint ID
Client_ID [ TEXT ] events.Client_ID = client.client_id
reviews :
Date [ DATE ] primary_key
Stars [ INTEGER ]
Reviews [ TEXT ]
Product [ TEXT ]
district_id [ INTEGER ] reviews.district_id = district.district_id
Please write me a SQL statement that answers the following question: Give me the full birthdate, email and phone number of the youngest client in Indianapolis . [/INST] | SELECT T1.year, T1.month, T1.day, T1.email, T1.phone FROM client AS T1 INNER JOIN district AS T2 ON T1.district_id = T2.district_id WHERE T2.city = 'Indianapolis' ORDER BY T1.year DESC, T1.month DESC, T1.day DESC LIMIT 1; |
[INST] Here is a database schema:
state :
StateCode [ TEXT ] primary_key
State [ TEXT ]
Region [ TEXT ]
callcenterlogs :
Date received [ DATE ]
Complaint ID [ TEXT ] primary_key
rand client [ TEXT ] callcenterlogs.rand client = client.client_id
phonefinal [ TEXT ]
vru+line [ TEXT ]
call_id [ INTEGER ]
priority [ INTEGER ]
type [ TEXT ]
outcome [ TEXT ]
server [ TEXT ]
ser_start [ TEXT ]
ser_exit [ TEXT ]
ser_time [ TEXT ]
client :
client_id [ TEXT ] primary_key
sex [ TEXT ]
day [ INTEGER ]
month [ INTEGER ]
year [ INTEGER ]
age [ INTEGER ]
social [ TEXT ]
first [ TEXT ]
middle [ TEXT ]
last [ TEXT ]
phone [ TEXT ]
email [ TEXT ]
address_1 [ TEXT ]
address_2 [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zipcode [ INTEGER ]
district_id [ INTEGER ] client.district_id = district.district_id
district :
district_id [ INTEGER ] primary_key
city [ TEXT ]
state_abbrev [ TEXT ] district.state_abbrev = state.StateCode
division [ TEXT ]
events :
Date received [ DATE ]
Product [ TEXT ]
Sub-product [ TEXT ]
Issue [ TEXT ]
Sub-issue [ TEXT ]
Consumer complaint narrative [ TEXT ]
Tags [ TEXT ]
Consumer consent provided? [ TEXT ]
Submitted via [ TEXT ]
Date sent to company [ TEXT ]
Company response to consumer [ TEXT ]
Timely response? [ TEXT ]
Consumer disputed? [ TEXT ]
Complaint ID [ TEXT ] events.Complaint ID = callcenterlogs.Complaint ID
Client_ID [ TEXT ] events.Client_ID = client.client_id
reviews :
Date [ DATE ] primary_key
Stars [ INTEGER ]
Reviews [ TEXT ]
Product [ TEXT ]
district_id [ INTEGER ] reviews.district_id = district.district_id
Please write me a SQL statement that answers the following question: List the top five cities in terms of the number of 5-star ratings in 2016 reviews, in descending order. [/INST] | SELECT T2.city FROM reviews AS T1 INNER JOIN district AS T2 ON T1.district_id = T2.district_id WHERE T1.Stars = 5 AND T1.Date LIKE '2016%' ORDER BY T1.Date DESC LIMIT 5; |
[INST] Here is a database schema:
state :
StateCode [ TEXT ] primary_key
State [ TEXT ]
Region [ TEXT ]
callcenterlogs :
Date received [ DATE ]
Complaint ID [ TEXT ] primary_key
rand client [ TEXT ] callcenterlogs.rand client = client.client_id
phonefinal [ TEXT ]
vru+line [ TEXT ]
call_id [ INTEGER ]
priority [ INTEGER ]
type [ TEXT ]
outcome [ TEXT ]
server [ TEXT ]
ser_start [ TEXT ]
ser_exit [ TEXT ]
ser_time [ TEXT ]
client :
client_id [ TEXT ] primary_key
sex [ TEXT ]
day [ INTEGER ]
month [ INTEGER ]
year [ INTEGER ]
age [ INTEGER ]
social [ TEXT ]
first [ TEXT ]
middle [ TEXT ]
last [ TEXT ]
phone [ TEXT ]
email [ TEXT ]
address_1 [ TEXT ]
address_2 [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zipcode [ INTEGER ]
district_id [ INTEGER ] client.district_id = district.district_id
district :
district_id [ INTEGER ] primary_key
city [ TEXT ]
state_abbrev [ TEXT ] district.state_abbrev = state.StateCode
division [ TEXT ]
events :
Date received [ DATE ]
Product [ TEXT ]
Sub-product [ TEXT ]
Issue [ TEXT ]
Sub-issue [ TEXT ]
Consumer complaint narrative [ TEXT ]
Tags [ TEXT ]
Consumer consent provided? [ TEXT ]
Submitted via [ TEXT ]
Date sent to company [ TEXT ]
Company response to consumer [ TEXT ]
Timely response? [ TEXT ]
Consumer disputed? [ TEXT ]
Complaint ID [ TEXT ] events.Complaint ID = callcenterlogs.Complaint ID
Client_ID [ TEXT ] events.Client_ID = client.client_id
reviews :
Date [ DATE ] primary_key
Stars [ INTEGER ]
Reviews [ TEXT ]
Product [ TEXT ]
district_id [ INTEGER ] reviews.district_id = district.district_id
Please write me a SQL statement that answers the following question: What is the longest server time when the call is about the issue of arbitration? [/INST] | SELECT MAX(T1.ser_time) FROM callcenterlogs AS T1 INNER JOIN events AS T2 ON T1.`Complaint ID` = T2.`Complaint ID` WHERE T2.issue = 'Arbitration'; |
[INST] Here is a database schema:
state :
StateCode [ TEXT ] primary_key
State [ TEXT ]
Region [ TEXT ]
callcenterlogs :
Date received [ DATE ]
Complaint ID [ TEXT ] primary_key
rand client [ TEXT ] callcenterlogs.rand client = client.client_id
phonefinal [ TEXT ]
vru+line [ TEXT ]
call_id [ INTEGER ]
priority [ INTEGER ]
type [ TEXT ]
outcome [ TEXT ]
server [ TEXT ]
ser_start [ TEXT ]
ser_exit [ TEXT ]
ser_time [ TEXT ]
client :
client_id [ TEXT ] primary_key
sex [ TEXT ]
day [ INTEGER ]
month [ INTEGER ]
year [ INTEGER ]
age [ INTEGER ]
social [ TEXT ]
first [ TEXT ]
middle [ TEXT ]
last [ TEXT ]
phone [ TEXT ]
email [ TEXT ]
address_1 [ TEXT ]
address_2 [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zipcode [ INTEGER ]
district_id [ INTEGER ] client.district_id = district.district_id
district :
district_id [ INTEGER ] primary_key
city [ TEXT ]
state_abbrev [ TEXT ] district.state_abbrev = state.StateCode
division [ TEXT ]
events :
Date received [ DATE ]
Product [ TEXT ]
Sub-product [ TEXT ]
Issue [ TEXT ]
Sub-issue [ TEXT ]
Consumer complaint narrative [ TEXT ]
Tags [ TEXT ]
Consumer consent provided? [ TEXT ]
Submitted via [ TEXT ]
Date sent to company [ TEXT ]
Company response to consumer [ TEXT ]
Timely response? [ TEXT ]
Consumer disputed? [ TEXT ]
Complaint ID [ TEXT ] events.Complaint ID = callcenterlogs.Complaint ID
Client_ID [ TEXT ] events.Client_ID = client.client_id
reviews :
Date [ DATE ] primary_key
Stars [ INTEGER ]
Reviews [ TEXT ]
Product [ TEXT ]
district_id [ INTEGER ] reviews.district_id = district.district_id
Please write me a SQL statement that answers the following question: Give me the social number and state of the client whose phone number is 100-121-8371. [/INST] | SELECT T1.social, T1.state FROM client AS T1 INNER JOIN district AS T2 ON T1.district_id = T2.district_id INNER JOIN state AS T3 ON T2.state_abbrev = T3.StateCode WHERE T1.phone = '100-121-8371'; |
[INST] Here is a database schema:
state :
StateCode [ TEXT ] primary_key
State [ TEXT ]
Region [ TEXT ]
callcenterlogs :
Date received [ DATE ]
Complaint ID [ TEXT ] primary_key
rand client [ TEXT ] callcenterlogs.rand client = client.client_id
phonefinal [ TEXT ]
vru+line [ TEXT ]
call_id [ INTEGER ]
priority [ INTEGER ]
type [ TEXT ]
outcome [ TEXT ]
server [ TEXT ]
ser_start [ TEXT ]
ser_exit [ TEXT ]
ser_time [ TEXT ]
client :
client_id [ TEXT ] primary_key
sex [ TEXT ]
day [ INTEGER ]
month [ INTEGER ]
year [ INTEGER ]
age [ INTEGER ]
social [ TEXT ]
first [ TEXT ]
middle [ TEXT ]
last [ TEXT ]
phone [ TEXT ]
email [ TEXT ]
address_1 [ TEXT ]
address_2 [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zipcode [ INTEGER ]
district_id [ INTEGER ] client.district_id = district.district_id
district :
district_id [ INTEGER ] primary_key
city [ TEXT ]
state_abbrev [ TEXT ] district.state_abbrev = state.StateCode
division [ TEXT ]
events :
Date received [ DATE ]
Product [ TEXT ]
Sub-product [ TEXT ]
Issue [ TEXT ]
Sub-issue [ TEXT ]
Consumer complaint narrative [ TEXT ]
Tags [ TEXT ]
Consumer consent provided? [ TEXT ]
Submitted via [ TEXT ]
Date sent to company [ TEXT ]
Company response to consumer [ TEXT ]
Timely response? [ TEXT ]
Consumer disputed? [ TEXT ]
Complaint ID [ TEXT ] events.Complaint ID = callcenterlogs.Complaint ID
Client_ID [ TEXT ] events.Client_ID = client.client_id
reviews :
Date [ DATE ] primary_key
Stars [ INTEGER ]
Reviews [ TEXT ]
Product [ TEXT ]
district_id [ INTEGER ] reviews.district_id = district.district_id
Please write me a SQL statement that answers the following question: List the full names and phone numbers of clients that were from the Pacific. [/INST] | SELECT T1.first, T1.middle, T1.last, T1.phone FROM client AS T1 INNER JOIN district AS T2 ON T1.district_id = T2.district_id WHERE T2.division = 'Pacific'; |
[INST] Here is a database schema:
state :
StateCode [ TEXT ] primary_key
State [ TEXT ]
Region [ TEXT ]
callcenterlogs :
Date received [ DATE ]
Complaint ID [ TEXT ] primary_key
rand client [ TEXT ] callcenterlogs.rand client = client.client_id
phonefinal [ TEXT ]
vru+line [ TEXT ]
call_id [ INTEGER ]
priority [ INTEGER ]
type [ TEXT ]
outcome [ TEXT ]
server [ TEXT ]
ser_start [ TEXT ]
ser_exit [ TEXT ]
ser_time [ TEXT ]
client :
client_id [ TEXT ] primary_key
sex [ TEXT ]
day [ INTEGER ]
month [ INTEGER ]
year [ INTEGER ]
age [ INTEGER ]
social [ TEXT ]
first [ TEXT ]
middle [ TEXT ]
last [ TEXT ]
phone [ TEXT ]
email [ TEXT ]
address_1 [ TEXT ]
address_2 [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zipcode [ INTEGER ]
district_id [ INTEGER ] client.district_id = district.district_id
district :
district_id [ INTEGER ] primary_key
city [ TEXT ]
state_abbrev [ TEXT ] district.state_abbrev = state.StateCode
division [ TEXT ]
events :
Date received [ DATE ]
Product [ TEXT ]
Sub-product [ TEXT ]
Issue [ TEXT ]
Sub-issue [ TEXT ]
Consumer complaint narrative [ TEXT ]
Tags [ TEXT ]
Consumer consent provided? [ TEXT ]
Submitted via [ TEXT ]
Date sent to company [ TEXT ]
Company response to consumer [ TEXT ]
Timely response? [ TEXT ]
Consumer disputed? [ TEXT ]
Complaint ID [ TEXT ] events.Complaint ID = callcenterlogs.Complaint ID
Client_ID [ TEXT ] events.Client_ID = client.client_id
reviews :
Date [ DATE ] primary_key
Stars [ INTEGER ]
Reviews [ TEXT ]
Product [ TEXT ]
district_id [ INTEGER ] reviews.district_id = district.district_id
Please write me a SQL statement that answers the following question: What is the social number of the client who has the longest delay in his/her complaint? Calculate the days of delay and state the company's response to the consumer. [/INST] | SELECT T1.social , 365 * (strftime('%Y', T2.`Date sent to company`) - strftime('%Y', T2.`Date received`)) + 30 * (strftime('%M', T2.`Date sent to company`) - strftime('%M', T2.`Date received`)) + (strftime('%d', T2.`Date sent to company`) - strftime('%d', T2.`Date received`)), T2.`Company response to consumer` FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID ORDER BY 365 * (strftime('%Y', T2.`Date sent to company`) - strftime('%Y', T2.`Date received`)) + 30 * (strftime('%M', T2.`Date sent to company`) - strftime('%M', T2.`Date received`)) + (strftime('%d', T2.`Date sent to company`) - strftime('%d', T2.`Date received`)) DESC LIMIT 1; |
[INST] Here is a database schema:
state :
StateCode [ TEXT ] primary_key
State [ TEXT ]
Region [ TEXT ]
callcenterlogs :
Date received [ DATE ]
Complaint ID [ TEXT ] primary_key
rand client [ TEXT ] callcenterlogs.rand client = client.client_id
phonefinal [ TEXT ]
vru+line [ TEXT ]
call_id [ INTEGER ]
priority [ INTEGER ]
type [ TEXT ]
outcome [ TEXT ]
server [ TEXT ]
ser_start [ TEXT ]
ser_exit [ TEXT ]
ser_time [ TEXT ]
client :
client_id [ TEXT ] primary_key
sex [ TEXT ]
day [ INTEGER ]
month [ INTEGER ]
year [ INTEGER ]
age [ INTEGER ]
social [ TEXT ]
first [ TEXT ]
middle [ TEXT ]
last [ TEXT ]
phone [ TEXT ]
email [ TEXT ]
address_1 [ TEXT ]
address_2 [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zipcode [ INTEGER ]
district_id [ INTEGER ] client.district_id = district.district_id
district :
district_id [ INTEGER ] primary_key
city [ TEXT ]
state_abbrev [ TEXT ] district.state_abbrev = state.StateCode
division [ TEXT ]
events :
Date received [ DATE ]
Product [ TEXT ]
Sub-product [ TEXT ]
Issue [ TEXT ]
Sub-issue [ TEXT ]
Consumer complaint narrative [ TEXT ]
Tags [ TEXT ]
Consumer consent provided? [ TEXT ]
Submitted via [ TEXT ]
Date sent to company [ TEXT ]
Company response to consumer [ TEXT ]
Timely response? [ TEXT ]
Consumer disputed? [ TEXT ]
Complaint ID [ TEXT ] events.Complaint ID = callcenterlogs.Complaint ID
Client_ID [ TEXT ] events.Client_ID = client.client_id
reviews :
Date [ DATE ] primary_key
Stars [ INTEGER ]
Reviews [ TEXT ]
Product [ TEXT ]
district_id [ INTEGER ] reviews.district_id = district.district_id
Please write me a SQL statement that answers the following question: How many female clients are there older than 30? [/INST] | SELECT COUNT(sex) FROM client WHERE sex = 'Female' AND age > 30; |
[INST] Here is a database schema:
state :
StateCode [ TEXT ] primary_key
State [ TEXT ]
Region [ TEXT ]
callcenterlogs :
Date received [ DATE ]
Complaint ID [ TEXT ] primary_key
rand client [ TEXT ] callcenterlogs.rand client = client.client_id
phonefinal [ TEXT ]
vru+line [ TEXT ]
call_id [ INTEGER ]
priority [ INTEGER ]
type [ TEXT ]
outcome [ TEXT ]
server [ TEXT ]
ser_start [ TEXT ]
ser_exit [ TEXT ]
ser_time [ TEXT ]
client :
client_id [ TEXT ] primary_key
sex [ TEXT ]
day [ INTEGER ]
month [ INTEGER ]
year [ INTEGER ]
age [ INTEGER ]
social [ TEXT ]
first [ TEXT ]
middle [ TEXT ]
last [ TEXT ]
phone [ TEXT ]
email [ TEXT ]
address_1 [ TEXT ]
address_2 [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zipcode [ INTEGER ]
district_id [ INTEGER ] client.district_id = district.district_id
district :
district_id [ INTEGER ] primary_key
city [ TEXT ]
state_abbrev [ TEXT ] district.state_abbrev = state.StateCode
division [ TEXT ]
events :
Date received [ DATE ]
Product [ TEXT ]
Sub-product [ TEXT ]
Issue [ TEXT ]
Sub-issue [ TEXT ]
Consumer complaint narrative [ TEXT ]
Tags [ TEXT ]
Consumer consent provided? [ TEXT ]
Submitted via [ TEXT ]
Date sent to company [ TEXT ]
Company response to consumer [ TEXT ]
Timely response? [ TEXT ]
Consumer disputed? [ TEXT ]
Complaint ID [ TEXT ] events.Complaint ID = callcenterlogs.Complaint ID
Client_ID [ TEXT ] events.Client_ID = client.client_id
reviews :
Date [ DATE ] primary_key
Stars [ INTEGER ]
Reviews [ TEXT ]
Product [ TEXT ]
district_id [ INTEGER ] reviews.district_id = district.district_id
Please write me a SQL statement that answers the following question: Please list all first and last names of clients who live in New York city. [/INST] | SELECT first, last FROM client WHERE city = 'New York City'; |
[INST] Here is a database schema:
state :
StateCode [ TEXT ] primary_key
State [ TEXT ]
Region [ TEXT ]
callcenterlogs :
Date received [ DATE ]
Complaint ID [ TEXT ] primary_key
rand client [ TEXT ] callcenterlogs.rand client = client.client_id
phonefinal [ TEXT ]
vru+line [ TEXT ]
call_id [ INTEGER ]
priority [ INTEGER ]
type [ TEXT ]
outcome [ TEXT ]
server [ TEXT ]
ser_start [ TEXT ]
ser_exit [ TEXT ]
ser_time [ TEXT ]
client :
client_id [ TEXT ] primary_key
sex [ TEXT ]
day [ INTEGER ]
month [ INTEGER ]
year [ INTEGER ]
age [ INTEGER ]
social [ TEXT ]
first [ TEXT ]
middle [ TEXT ]
last [ TEXT ]
phone [ TEXT ]
email [ TEXT ]
address_1 [ TEXT ]
address_2 [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zipcode [ INTEGER ]
district_id [ INTEGER ] client.district_id = district.district_id
district :
district_id [ INTEGER ] primary_key
city [ TEXT ]
state_abbrev [ TEXT ] district.state_abbrev = state.StateCode
division [ TEXT ]
events :
Date received [ DATE ]
Product [ TEXT ]
Sub-product [ TEXT ]
Issue [ TEXT ]
Sub-issue [ TEXT ]
Consumer complaint narrative [ TEXT ]
Tags [ TEXT ]
Consumer consent provided? [ TEXT ]
Submitted via [ TEXT ]
Date sent to company [ TEXT ]
Company response to consumer [ TEXT ]
Timely response? [ TEXT ]
Consumer disputed? [ TEXT ]
Complaint ID [ TEXT ] events.Complaint ID = callcenterlogs.Complaint ID
Client_ID [ TEXT ] events.Client_ID = client.client_id
reviews :
Date [ DATE ] primary_key
Stars [ INTEGER ]
Reviews [ TEXT ]
Product [ TEXT ]
district_id [ INTEGER ] reviews.district_id = district.district_id
Please write me a SQL statement that answers the following question: What is the oldest age of male clients? [/INST] | SELECT MAX(age) FROM client WHERE sex = 'Male'; |
[INST] Here is a database schema:
state :
StateCode [ TEXT ] primary_key
State [ TEXT ]
Region [ TEXT ]
callcenterlogs :
Date received [ DATE ]
Complaint ID [ TEXT ] primary_key
rand client [ TEXT ] callcenterlogs.rand client = client.client_id
phonefinal [ TEXT ]
vru+line [ TEXT ]
call_id [ INTEGER ]
priority [ INTEGER ]
type [ TEXT ]
outcome [ TEXT ]
server [ TEXT ]
ser_start [ TEXT ]
ser_exit [ TEXT ]
ser_time [ TEXT ]
client :
client_id [ TEXT ] primary_key
sex [ TEXT ]
day [ INTEGER ]
month [ INTEGER ]
year [ INTEGER ]
age [ INTEGER ]
social [ TEXT ]
first [ TEXT ]
middle [ TEXT ]
last [ TEXT ]
phone [ TEXT ]
email [ TEXT ]
address_1 [ TEXT ]
address_2 [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zipcode [ INTEGER ]
district_id [ INTEGER ] client.district_id = district.district_id
district :
district_id [ INTEGER ] primary_key
city [ TEXT ]
state_abbrev [ TEXT ] district.state_abbrev = state.StateCode
division [ TEXT ]
events :
Date received [ DATE ]
Product [ TEXT ]
Sub-product [ TEXT ]
Issue [ TEXT ]
Sub-issue [ TEXT ]
Consumer complaint narrative [ TEXT ]
Tags [ TEXT ]
Consumer consent provided? [ TEXT ]
Submitted via [ TEXT ]
Date sent to company [ TEXT ]
Company response to consumer [ TEXT ]
Timely response? [ TEXT ]
Consumer disputed? [ TEXT ]
Complaint ID [ TEXT ] events.Complaint ID = callcenterlogs.Complaint ID
Client_ID [ TEXT ] events.Client_ID = client.client_id
reviews :
Date [ DATE ] primary_key
Stars [ INTEGER ]
Reviews [ TEXT ]
Product [ TEXT ]
district_id [ INTEGER ] reviews.district_id = district.district_id
Please write me a SQL statement that answers the following question: Please calculate the number of clients by each division. [/INST] | SELECT T2.division, COUNT(T2.division) FROM client AS T1 INNER JOIN district AS T2 ON T1.district_id = T2.district_id GROUP BY T2.division; |
[INST] Here is a database schema:
state :
StateCode [ TEXT ] primary_key
State [ TEXT ]
Region [ TEXT ]
callcenterlogs :
Date received [ DATE ]
Complaint ID [ TEXT ] primary_key
rand client [ TEXT ] callcenterlogs.rand client = client.client_id
phonefinal [ TEXT ]
vru+line [ TEXT ]
call_id [ INTEGER ]
priority [ INTEGER ]
type [ TEXT ]
outcome [ TEXT ]
server [ TEXT ]
ser_start [ TEXT ]
ser_exit [ TEXT ]
ser_time [ TEXT ]
client :
client_id [ TEXT ] primary_key
sex [ TEXT ]
day [ INTEGER ]
month [ INTEGER ]
year [ INTEGER ]
age [ INTEGER ]
social [ TEXT ]
first [ TEXT ]
middle [ TEXT ]
last [ TEXT ]
phone [ TEXT ]
email [ TEXT ]
address_1 [ TEXT ]
address_2 [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zipcode [ INTEGER ]
district_id [ INTEGER ] client.district_id = district.district_id
district :
district_id [ INTEGER ] primary_key
city [ TEXT ]
state_abbrev [ TEXT ] district.state_abbrev = state.StateCode
division [ TEXT ]
events :
Date received [ DATE ]
Product [ TEXT ]
Sub-product [ TEXT ]
Issue [ TEXT ]
Sub-issue [ TEXT ]
Consumer complaint narrative [ TEXT ]
Tags [ TEXT ]
Consumer consent provided? [ TEXT ]
Submitted via [ TEXT ]
Date sent to company [ TEXT ]
Company response to consumer [ TEXT ]
Timely response? [ TEXT ]
Consumer disputed? [ TEXT ]
Complaint ID [ TEXT ] events.Complaint ID = callcenterlogs.Complaint ID
Client_ID [ TEXT ] events.Client_ID = client.client_id
reviews :
Date [ DATE ] primary_key
Stars [ INTEGER ]
Reviews [ TEXT ]
Product [ TEXT ]
district_id [ INTEGER ] reviews.district_id = district.district_id
Please write me a SQL statement that answers the following question: What is the percentage of female clients in the Middle Atlantic? [/INST] | SELECT CAST(SUM(CASE WHEN T1.sex = 'Female' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.sex) FROM client AS T1 INNER JOIN district AS T2 ON T1.district_id = T2.district_id WHERE T2.division = 'South Atlantic'; |
[INST] Here is a database schema:
state :
StateCode [ TEXT ] primary_key
State [ TEXT ]
Region [ TEXT ]
callcenterlogs :
Date received [ DATE ]
Complaint ID [ TEXT ] primary_key
rand client [ TEXT ] callcenterlogs.rand client = client.client_id
phonefinal [ TEXT ]
vru+line [ TEXT ]
call_id [ INTEGER ]
priority [ INTEGER ]
type [ TEXT ]
outcome [ TEXT ]
server [ TEXT ]
ser_start [ TEXT ]
ser_exit [ TEXT ]
ser_time [ TEXT ]
client :
client_id [ TEXT ] primary_key
sex [ TEXT ]
day [ INTEGER ]
month [ INTEGER ]
year [ INTEGER ]
age [ INTEGER ]
social [ TEXT ]
first [ TEXT ]
middle [ TEXT ]
last [ TEXT ]
phone [ TEXT ]
email [ TEXT ]
address_1 [ TEXT ]
address_2 [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zipcode [ INTEGER ]
district_id [ INTEGER ] client.district_id = district.district_id
district :
district_id [ INTEGER ] primary_key
city [ TEXT ]
state_abbrev [ TEXT ] district.state_abbrev = state.StateCode
division [ TEXT ]
events :
Date received [ DATE ]
Product [ TEXT ]
Sub-product [ TEXT ]
Issue [ TEXT ]
Sub-issue [ TEXT ]
Consumer complaint narrative [ TEXT ]
Tags [ TEXT ]
Consumer consent provided? [ TEXT ]
Submitted via [ TEXT ]
Date sent to company [ TEXT ]
Company response to consumer [ TEXT ]
Timely response? [ TEXT ]
Consumer disputed? [ TEXT ]
Complaint ID [ TEXT ] events.Complaint ID = callcenterlogs.Complaint ID
Client_ID [ TEXT ] events.Client_ID = client.client_id
reviews :
Date [ DATE ] primary_key
Stars [ INTEGER ]
Reviews [ TEXT ]
Product [ TEXT ]
district_id [ INTEGER ] reviews.district_id = district.district_id
Please write me a SQL statement that answers the following question: What is the average age of clients in South Atlantic? [/INST] | SELECT AVG(T1.age) FROM client AS T1 INNER JOIN district AS T2 ON T1.district_id = T2.district_id WHERE T2.division = 'South Atlantic'; |
[INST] Here is a database schema:
state :
StateCode [ TEXT ] primary_key
State [ TEXT ]
Region [ TEXT ]
callcenterlogs :
Date received [ DATE ]
Complaint ID [ TEXT ] primary_key
rand client [ TEXT ] callcenterlogs.rand client = client.client_id
phonefinal [ TEXT ]
vru+line [ TEXT ]
call_id [ INTEGER ]
priority [ INTEGER ]
type [ TEXT ]
outcome [ TEXT ]
server [ TEXT ]
ser_start [ TEXT ]
ser_exit [ TEXT ]
ser_time [ TEXT ]
client :
client_id [ TEXT ] primary_key
sex [ TEXT ]
day [ INTEGER ]
month [ INTEGER ]
year [ INTEGER ]
age [ INTEGER ]
social [ TEXT ]
first [ TEXT ]
middle [ TEXT ]
last [ TEXT ]
phone [ TEXT ]
email [ TEXT ]
address_1 [ TEXT ]
address_2 [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zipcode [ INTEGER ]
district_id [ INTEGER ] client.district_id = district.district_id
district :
district_id [ INTEGER ] primary_key
city [ TEXT ]
state_abbrev [ TEXT ] district.state_abbrev = state.StateCode
division [ TEXT ]
events :
Date received [ DATE ]
Product [ TEXT ]
Sub-product [ TEXT ]
Issue [ TEXT ]
Sub-issue [ TEXT ]
Consumer complaint narrative [ TEXT ]
Tags [ TEXT ]
Consumer consent provided? [ TEXT ]
Submitted via [ TEXT ]
Date sent to company [ TEXT ]
Company response to consumer [ TEXT ]
Timely response? [ TEXT ]
Consumer disputed? [ TEXT ]
Complaint ID [ TEXT ] events.Complaint ID = callcenterlogs.Complaint ID
Client_ID [ TEXT ] events.Client_ID = client.client_id
reviews :
Date [ DATE ] primary_key
Stars [ INTEGER ]
Reviews [ TEXT ]
Product [ TEXT ]
district_id [ INTEGER ] reviews.district_id = district.district_id
Please write me a SQL statement that answers the following question: Which city in the Midwest region has the least number of clients? [/INST] | SELECT T2.city FROM client AS T1 INNER JOIN district AS T2 ON T1.district_id = T2.district_id INNER JOIN state AS T3 ON T2.state_abbrev = T3.StateCode WHERE T3.Region = 'Midwest' GROUP BY T2.city ORDER BY COUNT(T2.city) LIMIT 1; |
[INST] Here is a database schema:
state :
StateCode [ TEXT ] primary_key
State [ TEXT ]
Region [ TEXT ]
callcenterlogs :
Date received [ DATE ]
Complaint ID [ TEXT ] primary_key
rand client [ TEXT ] callcenterlogs.rand client = client.client_id
phonefinal [ TEXT ]
vru+line [ TEXT ]
call_id [ INTEGER ]
priority [ INTEGER ]
type [ TEXT ]
outcome [ TEXT ]
server [ TEXT ]
ser_start [ TEXT ]
ser_exit [ TEXT ]
ser_time [ TEXT ]
client :
client_id [ TEXT ] primary_key
sex [ TEXT ]
day [ INTEGER ]
month [ INTEGER ]
year [ INTEGER ]
age [ INTEGER ]
social [ TEXT ]
first [ TEXT ]
middle [ TEXT ]
last [ TEXT ]
phone [ TEXT ]
email [ TEXT ]
address_1 [ TEXT ]
address_2 [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zipcode [ INTEGER ]
district_id [ INTEGER ] client.district_id = district.district_id
district :
district_id [ INTEGER ] primary_key
city [ TEXT ]
state_abbrev [ TEXT ] district.state_abbrev = state.StateCode
division [ TEXT ]
events :
Date received [ DATE ]
Product [ TEXT ]
Sub-product [ TEXT ]
Issue [ TEXT ]
Sub-issue [ TEXT ]
Consumer complaint narrative [ TEXT ]
Tags [ TEXT ]
Consumer consent provided? [ TEXT ]
Submitted via [ TEXT ]
Date sent to company [ TEXT ]
Company response to consumer [ TEXT ]
Timely response? [ TEXT ]
Consumer disputed? [ TEXT ]
Complaint ID [ TEXT ] events.Complaint ID = callcenterlogs.Complaint ID
Client_ID [ TEXT ] events.Client_ID = client.client_id
reviews :
Date [ DATE ] primary_key
Stars [ INTEGER ]
Reviews [ TEXT ]
Product [ TEXT ]
district_id [ INTEGER ] reviews.district_id = district.district_id
Please write me a SQL statement that answers the following question: How many customers in the Northeast use Microsoft email? [/INST] | SELECT COUNT(T1.email) FROM client AS T1 INNER JOIN district AS T2 ON T1.district_id = T2.district_id INNER JOIN state AS T3 ON T2.state_abbrev = T3.StateCode WHERE T3.Region = 'Northeast' AND T1.email LIKE '%@outlook.com'; |
[INST] Here is a database schema:
state :
StateCode [ TEXT ] primary_key
State [ TEXT ]
Region [ TEXT ]
callcenterlogs :
Date received [ DATE ]
Complaint ID [ TEXT ] primary_key
rand client [ TEXT ] callcenterlogs.rand client = client.client_id
phonefinal [ TEXT ]
vru+line [ TEXT ]
call_id [ INTEGER ]
priority [ INTEGER ]
type [ TEXT ]
outcome [ TEXT ]
server [ TEXT ]
ser_start [ TEXT ]
ser_exit [ TEXT ]
ser_time [ TEXT ]
client :
client_id [ TEXT ] primary_key
sex [ TEXT ]
day [ INTEGER ]
month [ INTEGER ]
year [ INTEGER ]
age [ INTEGER ]
social [ TEXT ]
first [ TEXT ]
middle [ TEXT ]
last [ TEXT ]
phone [ TEXT ]
email [ TEXT ]
address_1 [ TEXT ]
address_2 [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zipcode [ INTEGER ]
district_id [ INTEGER ] client.district_id = district.district_id
district :
district_id [ INTEGER ] primary_key
city [ TEXT ]
state_abbrev [ TEXT ] district.state_abbrev = state.StateCode
division [ TEXT ]
events :
Date received [ DATE ]
Product [ TEXT ]
Sub-product [ TEXT ]
Issue [ TEXT ]
Sub-issue [ TEXT ]
Consumer complaint narrative [ TEXT ]
Tags [ TEXT ]
Consumer consent provided? [ TEXT ]
Submitted via [ TEXT ]
Date sent to company [ TEXT ]
Company response to consumer [ TEXT ]
Timely response? [ TEXT ]
Consumer disputed? [ TEXT ]
Complaint ID [ TEXT ] events.Complaint ID = callcenterlogs.Complaint ID
Client_ID [ TEXT ] events.Client_ID = client.client_id
reviews :
Date [ DATE ] primary_key
Stars [ INTEGER ]
Reviews [ TEXT ]
Product [ TEXT ]
district_id [ INTEGER ] reviews.district_id = district.district_id
Please write me a SQL statement that answers the following question: Which city in West North Central has the highest number of customers over the age of 60? [/INST] | SELECT T2.city FROM client AS T1 INNER JOIN district AS T2 ON T1.district_id = T2.district_id WHERE T2.division = 'West North Central' AND T1.age > 60 GROUP BY T2.city ORDER BY COUNT(T2.city) DESC LIMIT 1; |
[INST] Here is a database schema:
state :
StateCode [ TEXT ] primary_key
State [ TEXT ]
Region [ TEXT ]
callcenterlogs :
Date received [ DATE ]
Complaint ID [ TEXT ] primary_key
rand client [ TEXT ] callcenterlogs.rand client = client.client_id
phonefinal [ TEXT ]
vru+line [ TEXT ]
call_id [ INTEGER ]
priority [ INTEGER ]
type [ TEXT ]
outcome [ TEXT ]
server [ TEXT ]
ser_start [ TEXT ]
ser_exit [ TEXT ]
ser_time [ TEXT ]
client :
client_id [ TEXT ] primary_key
sex [ TEXT ]
day [ INTEGER ]
month [ INTEGER ]
year [ INTEGER ]
age [ INTEGER ]
social [ TEXT ]
first [ TEXT ]
middle [ TEXT ]
last [ TEXT ]
phone [ TEXT ]
email [ TEXT ]
address_1 [ TEXT ]
address_2 [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zipcode [ INTEGER ]
district_id [ INTEGER ] client.district_id = district.district_id
district :
district_id [ INTEGER ] primary_key
city [ TEXT ]
state_abbrev [ TEXT ] district.state_abbrev = state.StateCode
division [ TEXT ]
events :
Date received [ DATE ]
Product [ TEXT ]
Sub-product [ TEXT ]
Issue [ TEXT ]
Sub-issue [ TEXT ]
Consumer complaint narrative [ TEXT ]
Tags [ TEXT ]
Consumer consent provided? [ TEXT ]
Submitted via [ TEXT ]
Date sent to company [ TEXT ]
Company response to consumer [ TEXT ]
Timely response? [ TEXT ]
Consumer disputed? [ TEXT ]
Complaint ID [ TEXT ] events.Complaint ID = callcenterlogs.Complaint ID
Client_ID [ TEXT ] events.Client_ID = client.client_id
reviews :
Date [ DATE ] primary_key
Stars [ INTEGER ]
Reviews [ TEXT ]
Product [ TEXT ]
district_id [ INTEGER ] reviews.district_id = district.district_id
Please write me a SQL statement that answers the following question: What is the percentage of complaints about the late fee issue whose priority is 2 in 2017? [/INST] | SELECT CAST(SUM(CASE WHEN T1.priority = 2 THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.`Complaint ID`) FROM callcenterlogs AS T1 INNER JOIN events AS T2 ON T1.`Complaint ID` = T2.`Complaint ID` WHERE strftime('%Y', T1.`Date received`) = '2017'; |
[INST] Here is a database schema:
state :
StateCode [ TEXT ] primary_key
State [ TEXT ]
Region [ TEXT ]
callcenterlogs :
Date received [ DATE ]
Complaint ID [ TEXT ] primary_key
rand client [ TEXT ] callcenterlogs.rand client = client.client_id
phonefinal [ TEXT ]
vru+line [ TEXT ]
call_id [ INTEGER ]
priority [ INTEGER ]
type [ TEXT ]
outcome [ TEXT ]
server [ TEXT ]
ser_start [ TEXT ]
ser_exit [ TEXT ]
ser_time [ TEXT ]
client :
client_id [ TEXT ] primary_key
sex [ TEXT ]
day [ INTEGER ]
month [ INTEGER ]
year [ INTEGER ]
age [ INTEGER ]
social [ TEXT ]
first [ TEXT ]
middle [ TEXT ]
last [ TEXT ]
phone [ TEXT ]
email [ TEXT ]
address_1 [ TEXT ]
address_2 [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zipcode [ INTEGER ]
district_id [ INTEGER ] client.district_id = district.district_id
district :
district_id [ INTEGER ] primary_key
city [ TEXT ]
state_abbrev [ TEXT ] district.state_abbrev = state.StateCode
division [ TEXT ]
events :
Date received [ DATE ]
Product [ TEXT ]
Sub-product [ TEXT ]
Issue [ TEXT ]
Sub-issue [ TEXT ]
Consumer complaint narrative [ TEXT ]
Tags [ TEXT ]
Consumer consent provided? [ TEXT ]
Submitted via [ TEXT ]
Date sent to company [ TEXT ]
Company response to consumer [ TEXT ]
Timely response? [ TEXT ]
Consumer disputed? [ TEXT ]
Complaint ID [ TEXT ] events.Complaint ID = callcenterlogs.Complaint ID
Client_ID [ TEXT ] events.Client_ID = client.client_id
reviews :
Date [ DATE ] primary_key
Stars [ INTEGER ]
Reviews [ TEXT ]
Product [ TEXT ]
district_id [ INTEGER ] reviews.district_id = district.district_id
Please write me a SQL statement that answers the following question: Which state has the most cities? [/INST] | SELECT state_abbrev FROM district GROUP BY state_abbrev ORDER BY COUNT(city) DESC LIMIT 1; |
[INST] Here is a database schema:
state :
StateCode [ TEXT ] primary_key
State [ TEXT ]
Region [ TEXT ]
callcenterlogs :
Date received [ DATE ]
Complaint ID [ TEXT ] primary_key
rand client [ TEXT ] callcenterlogs.rand client = client.client_id
phonefinal [ TEXT ]
vru+line [ TEXT ]
call_id [ INTEGER ]
priority [ INTEGER ]
type [ TEXT ]
outcome [ TEXT ]
server [ TEXT ]
ser_start [ TEXT ]
ser_exit [ TEXT ]
ser_time [ TEXT ]
client :
client_id [ TEXT ] primary_key
sex [ TEXT ]
day [ INTEGER ]
month [ INTEGER ]
year [ INTEGER ]
age [ INTEGER ]
social [ TEXT ]
first [ TEXT ]
middle [ TEXT ]
last [ TEXT ]
phone [ TEXT ]
email [ TEXT ]
address_1 [ TEXT ]
address_2 [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zipcode [ INTEGER ]
district_id [ INTEGER ] client.district_id = district.district_id
district :
district_id [ INTEGER ] primary_key
city [ TEXT ]
state_abbrev [ TEXT ] district.state_abbrev = state.StateCode
division [ TEXT ]
events :
Date received [ DATE ]
Product [ TEXT ]
Sub-product [ TEXT ]
Issue [ TEXT ]
Sub-issue [ TEXT ]
Consumer complaint narrative [ TEXT ]
Tags [ TEXT ]
Consumer consent provided? [ TEXT ]
Submitted via [ TEXT ]
Date sent to company [ TEXT ]
Company response to consumer [ TEXT ]
Timely response? [ TEXT ]
Consumer disputed? [ TEXT ]
Complaint ID [ TEXT ] events.Complaint ID = callcenterlogs.Complaint ID
Client_ID [ TEXT ] events.Client_ID = client.client_id
reviews :
Date [ DATE ] primary_key
Stars [ INTEGER ]
Reviews [ TEXT ]
Product [ TEXT ]
district_id [ INTEGER ] reviews.district_id = district.district_id
Please write me a SQL statement that answers the following question: Please give the first name and phone number of the client whose complaint id is CR0922485. [/INST] | SELECT T1.first, T1.phone FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T2.`Complaint ID` = 'CR0922485'; |
[INST] Here is a database schema:
state :
StateCode [ TEXT ] primary_key
State [ TEXT ]
Region [ TEXT ]
callcenterlogs :
Date received [ DATE ]
Complaint ID [ TEXT ] primary_key
rand client [ TEXT ] callcenterlogs.rand client = client.client_id
phonefinal [ TEXT ]
vru+line [ TEXT ]
call_id [ INTEGER ]
priority [ INTEGER ]
type [ TEXT ]
outcome [ TEXT ]
server [ TEXT ]
ser_start [ TEXT ]
ser_exit [ TEXT ]
ser_time [ TEXT ]
client :
client_id [ TEXT ] primary_key
sex [ TEXT ]
day [ INTEGER ]
month [ INTEGER ]
year [ INTEGER ]
age [ INTEGER ]
social [ TEXT ]
first [ TEXT ]
middle [ TEXT ]
last [ TEXT ]
phone [ TEXT ]
email [ TEXT ]
address_1 [ TEXT ]
address_2 [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zipcode [ INTEGER ]
district_id [ INTEGER ] client.district_id = district.district_id
district :
district_id [ INTEGER ] primary_key
city [ TEXT ]
state_abbrev [ TEXT ] district.state_abbrev = state.StateCode
division [ TEXT ]
events :
Date received [ DATE ]
Product [ TEXT ]
Sub-product [ TEXT ]
Issue [ TEXT ]
Sub-issue [ TEXT ]
Consumer complaint narrative [ TEXT ]
Tags [ TEXT ]
Consumer consent provided? [ TEXT ]
Submitted via [ TEXT ]
Date sent to company [ TEXT ]
Company response to consumer [ TEXT ]
Timely response? [ TEXT ]
Consumer disputed? [ TEXT ]
Complaint ID [ TEXT ] events.Complaint ID = callcenterlogs.Complaint ID
Client_ID [ TEXT ] events.Client_ID = client.client_id
reviews :
Date [ DATE ] primary_key
Stars [ INTEGER ]
Reviews [ TEXT ]
Product [ TEXT ]
district_id [ INTEGER ] reviews.district_id = district.district_id
Please write me a SQL statement that answers the following question: Please list the emails of the clients whose complaint date received is 7/3/2014. [/INST] | SELECT T1.email FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T2.`Date received` = '2014-07-03'; |
[INST] Here is a database schema:
state :
StateCode [ TEXT ] primary_key
State [ TEXT ]
Region [ TEXT ]
callcenterlogs :
Date received [ DATE ]
Complaint ID [ TEXT ] primary_key
rand client [ TEXT ] callcenterlogs.rand client = client.client_id
phonefinal [ TEXT ]
vru+line [ TEXT ]
call_id [ INTEGER ]
priority [ INTEGER ]
type [ TEXT ]
outcome [ TEXT ]
server [ TEXT ]
ser_start [ TEXT ]
ser_exit [ TEXT ]
ser_time [ TEXT ]
client :
client_id [ TEXT ] primary_key
sex [ TEXT ]
day [ INTEGER ]
month [ INTEGER ]
year [ INTEGER ]
age [ INTEGER ]
social [ TEXT ]
first [ TEXT ]
middle [ TEXT ]
last [ TEXT ]
phone [ TEXT ]
email [ TEXT ]
address_1 [ TEXT ]
address_2 [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zipcode [ INTEGER ]
district_id [ INTEGER ] client.district_id = district.district_id
district :
district_id [ INTEGER ] primary_key
city [ TEXT ]
state_abbrev [ TEXT ] district.state_abbrev = state.StateCode
division [ TEXT ]
events :
Date received [ DATE ]
Product [ TEXT ]
Sub-product [ TEXT ]
Issue [ TEXT ]
Sub-issue [ TEXT ]
Consumer complaint narrative [ TEXT ]
Tags [ TEXT ]
Consumer consent provided? [ TEXT ]
Submitted via [ TEXT ]
Date sent to company [ TEXT ]
Company response to consumer [ TEXT ]
Timely response? [ TEXT ]
Consumer disputed? [ TEXT ]
Complaint ID [ TEXT ] events.Complaint ID = callcenterlogs.Complaint ID
Client_ID [ TEXT ] events.Client_ID = client.client_id
reviews :
Date [ DATE ] primary_key
Stars [ INTEGER ]
Reviews [ TEXT ]
Product [ TEXT ]
district_id [ INTEGER ] reviews.district_id = district.district_id
Please write me a SQL statement that answers the following question: In 2012, how many complaints about Credit card product came from clients in Omaha? [/INST] | SELECT COUNT(T1.client_id) FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T1.city = 'Omaha' AND strftime('%Y', T2.`Date received`) = '2012' AND T2.Product = 'Credit card'; |
[INST] Here is a database schema:
state :
StateCode [ TEXT ] primary_key
State [ TEXT ]
Region [ TEXT ]
callcenterlogs :
Date received [ DATE ]
Complaint ID [ TEXT ] primary_key
rand client [ TEXT ] callcenterlogs.rand client = client.client_id
phonefinal [ TEXT ]
vru+line [ TEXT ]
call_id [ INTEGER ]
priority [ INTEGER ]
type [ TEXT ]
outcome [ TEXT ]
server [ TEXT ]
ser_start [ TEXT ]
ser_exit [ TEXT ]
ser_time [ TEXT ]
client :
client_id [ TEXT ] primary_key
sex [ TEXT ]
day [ INTEGER ]
month [ INTEGER ]
year [ INTEGER ]
age [ INTEGER ]
social [ TEXT ]
first [ TEXT ]
middle [ TEXT ]
last [ TEXT ]
phone [ TEXT ]
email [ TEXT ]
address_1 [ TEXT ]
address_2 [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zipcode [ INTEGER ]
district_id [ INTEGER ] client.district_id = district.district_id
district :
district_id [ INTEGER ] primary_key
city [ TEXT ]
state_abbrev [ TEXT ] district.state_abbrev = state.StateCode
division [ TEXT ]
events :
Date received [ DATE ]
Product [ TEXT ]
Sub-product [ TEXT ]
Issue [ TEXT ]
Sub-issue [ TEXT ]
Consumer complaint narrative [ TEXT ]
Tags [ TEXT ]
Consumer consent provided? [ TEXT ]
Submitted via [ TEXT ]
Date sent to company [ TEXT ]
Company response to consumer [ TEXT ]
Timely response? [ TEXT ]
Consumer disputed? [ TEXT ]
Complaint ID [ TEXT ] events.Complaint ID = callcenterlogs.Complaint ID
Client_ID [ TEXT ] events.Client_ID = client.client_id
reviews :
Date [ DATE ] primary_key
Stars [ INTEGER ]
Reviews [ TEXT ]
Product [ TEXT ]
district_id [ INTEGER ] reviews.district_id = district.district_id
Please write me a SQL statement that answers the following question: From 2012 to 2015, how many complaints were submitted via email from female clients? [/INST] | SELECT COUNT(T1.client_id) FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE strftime('%Y', T2.`Date received`) BETWEEN '2012' AND '2015' AND T2.`Submitted via` = 'Email' AND T1.sex = 'Male'; |
[INST] Here is a database schema:
state :
StateCode [ TEXT ] primary_key
State [ TEXT ]
Region [ TEXT ]
callcenterlogs :
Date received [ DATE ]
Complaint ID [ TEXT ] primary_key
rand client [ TEXT ] callcenterlogs.rand client = client.client_id
phonefinal [ TEXT ]
vru+line [ TEXT ]
call_id [ INTEGER ]
priority [ INTEGER ]
type [ TEXT ]
outcome [ TEXT ]
server [ TEXT ]
ser_start [ TEXT ]
ser_exit [ TEXT ]
ser_time [ TEXT ]
client :
client_id [ TEXT ] primary_key
sex [ TEXT ]
day [ INTEGER ]
month [ INTEGER ]
year [ INTEGER ]
age [ INTEGER ]
social [ TEXT ]
first [ TEXT ]
middle [ TEXT ]
last [ TEXT ]
phone [ TEXT ]
email [ TEXT ]
address_1 [ TEXT ]
address_2 [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zipcode [ INTEGER ]
district_id [ INTEGER ] client.district_id = district.district_id
district :
district_id [ INTEGER ] primary_key
city [ TEXT ]
state_abbrev [ TEXT ] district.state_abbrev = state.StateCode
division [ TEXT ]
events :
Date received [ DATE ]
Product [ TEXT ]
Sub-product [ TEXT ]
Issue [ TEXT ]
Sub-issue [ TEXT ]
Consumer complaint narrative [ TEXT ]
Tags [ TEXT ]
Consumer consent provided? [ TEXT ]
Submitted via [ TEXT ]
Date sent to company [ TEXT ]
Company response to consumer [ TEXT ]
Timely response? [ TEXT ]
Consumer disputed? [ TEXT ]
Complaint ID [ TEXT ] events.Complaint ID = callcenterlogs.Complaint ID
Client_ID [ TEXT ] events.Client_ID = client.client_id
reviews :
Date [ DATE ] primary_key
Stars [ INTEGER ]
Reviews [ TEXT ]
Product [ TEXT ]
district_id [ INTEGER ] reviews.district_id = district.district_id
Please write me a SQL statement that answers the following question: Please list all clients' phone numbers and complaint IDs which are still in progress. [/INST] | SELECT T1.phone, T2.`Complaint ID` FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T2.`Company response to consumer` = 'In progress'; |
[INST] Here is a database schema:
state :
StateCode [ TEXT ] primary_key
State [ TEXT ]
Region [ TEXT ]
callcenterlogs :
Date received [ DATE ]
Complaint ID [ TEXT ] primary_key
rand client [ TEXT ] callcenterlogs.rand client = client.client_id
phonefinal [ TEXT ]
vru+line [ TEXT ]
call_id [ INTEGER ]
priority [ INTEGER ]
type [ TEXT ]
outcome [ TEXT ]
server [ TEXT ]
ser_start [ TEXT ]
ser_exit [ TEXT ]
ser_time [ TEXT ]
client :
client_id [ TEXT ] primary_key
sex [ TEXT ]
day [ INTEGER ]
month [ INTEGER ]
year [ INTEGER ]
age [ INTEGER ]
social [ TEXT ]
first [ TEXT ]
middle [ TEXT ]
last [ TEXT ]
phone [ TEXT ]
email [ TEXT ]
address_1 [ TEXT ]
address_2 [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zipcode [ INTEGER ]
district_id [ INTEGER ] client.district_id = district.district_id
district :
district_id [ INTEGER ] primary_key
city [ TEXT ]
state_abbrev [ TEXT ] district.state_abbrev = state.StateCode
division [ TEXT ]
events :
Date received [ DATE ]
Product [ TEXT ]
Sub-product [ TEXT ]
Issue [ TEXT ]
Sub-issue [ TEXT ]
Consumer complaint narrative [ TEXT ]
Tags [ TEXT ]
Consumer consent provided? [ TEXT ]
Submitted via [ TEXT ]
Date sent to company [ TEXT ]
Company response to consumer [ TEXT ]
Timely response? [ TEXT ]
Consumer disputed? [ TEXT ]
Complaint ID [ TEXT ] events.Complaint ID = callcenterlogs.Complaint ID
Client_ID [ TEXT ] events.Client_ID = client.client_id
reviews :
Date [ DATE ] primary_key
Stars [ INTEGER ]
Reviews [ TEXT ]
Product [ TEXT ]
district_id [ INTEGER ] reviews.district_id = district.district_id
Please write me a SQL statement that answers the following question: In 2015, how many complaints about Billing disputes were sent by clients in Portland? [/INST] | SELECT COUNT(T1.client_id) FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T1.city = 'Portland' AND T2.`Date received` LIKE '2015%' AND T2.Issue = 'Billing disputes'; |
[INST] Here is a database schema:
state :
StateCode [ TEXT ] primary_key
State [ TEXT ]
Region [ TEXT ]
callcenterlogs :
Date received [ DATE ]
Complaint ID [ TEXT ] primary_key
rand client [ TEXT ] callcenterlogs.rand client = client.client_id
phonefinal [ TEXT ]
vru+line [ TEXT ]
call_id [ INTEGER ]
priority [ INTEGER ]
type [ TEXT ]
outcome [ TEXT ]
server [ TEXT ]
ser_start [ TEXT ]
ser_exit [ TEXT ]
ser_time [ TEXT ]
client :
client_id [ TEXT ] primary_key
sex [ TEXT ]
day [ INTEGER ]
month [ INTEGER ]
year [ INTEGER ]
age [ INTEGER ]
social [ TEXT ]
first [ TEXT ]
middle [ TEXT ]
last [ TEXT ]
phone [ TEXT ]
email [ TEXT ]
address_1 [ TEXT ]
address_2 [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zipcode [ INTEGER ]
district_id [ INTEGER ] client.district_id = district.district_id
district :
district_id [ INTEGER ] primary_key
city [ TEXT ]
state_abbrev [ TEXT ] district.state_abbrev = state.StateCode
division [ TEXT ]
events :
Date received [ DATE ]
Product [ TEXT ]
Sub-product [ TEXT ]
Issue [ TEXT ]
Sub-issue [ TEXT ]
Consumer complaint narrative [ TEXT ]
Tags [ TEXT ]
Consumer consent provided? [ TEXT ]
Submitted via [ TEXT ]
Date sent to company [ TEXT ]
Company response to consumer [ TEXT ]
Timely response? [ TEXT ]
Consumer disputed? [ TEXT ]
Complaint ID [ TEXT ] events.Complaint ID = callcenterlogs.Complaint ID
Client_ID [ TEXT ] events.Client_ID = client.client_id
reviews :
Date [ DATE ] primary_key
Stars [ INTEGER ]
Reviews [ TEXT ]
Product [ TEXT ]
district_id [ INTEGER ] reviews.district_id = district.district_id
Please write me a SQL statement that answers the following question: In 2014, what is the percentage of complaints from consumers in Houston that the delay was over 5 days? [/INST] | SELECT CAST((SUM(CASE WHEN strftime('%J', T2.`Date sent to company`) - strftime('%J', T2.`Date received`) > 5 THEN 1 ELSE 0 END)) AS REAL) * 100 / COUNT(T1.client_id) FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T1.city = 'Houston' AND strftime('%Y', T2.`Date received`) = '2014'; |
[INST] Here is a database schema:
state :
StateCode [ TEXT ] primary_key
State [ TEXT ]
Region [ TEXT ]
callcenterlogs :
Date received [ DATE ]
Complaint ID [ TEXT ] primary_key
rand client [ TEXT ] callcenterlogs.rand client = client.client_id
phonefinal [ TEXT ]
vru+line [ TEXT ]
call_id [ INTEGER ]
priority [ INTEGER ]
type [ TEXT ]
outcome [ TEXT ]
server [ TEXT ]
ser_start [ TEXT ]
ser_exit [ TEXT ]
ser_time [ TEXT ]
client :
client_id [ TEXT ] primary_key
sex [ TEXT ]
day [ INTEGER ]
month [ INTEGER ]
year [ INTEGER ]
age [ INTEGER ]
social [ TEXT ]
first [ TEXT ]
middle [ TEXT ]
last [ TEXT ]
phone [ TEXT ]
email [ TEXT ]
address_1 [ TEXT ]
address_2 [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zipcode [ INTEGER ]
district_id [ INTEGER ] client.district_id = district.district_id
district :
district_id [ INTEGER ] primary_key
city [ TEXT ]
state_abbrev [ TEXT ] district.state_abbrev = state.StateCode
division [ TEXT ]
events :
Date received [ DATE ]
Product [ TEXT ]
Sub-product [ TEXT ]
Issue [ TEXT ]
Sub-issue [ TEXT ]
Consumer complaint narrative [ TEXT ]
Tags [ TEXT ]
Consumer consent provided? [ TEXT ]
Submitted via [ TEXT ]
Date sent to company [ TEXT ]
Company response to consumer [ TEXT ]
Timely response? [ TEXT ]
Consumer disputed? [ TEXT ]
Complaint ID [ TEXT ] events.Complaint ID = callcenterlogs.Complaint ID
Client_ID [ TEXT ] events.Client_ID = client.client_id
reviews :
Date [ DATE ] primary_key
Stars [ INTEGER ]
Reviews [ TEXT ]
Product [ TEXT ]
district_id [ INTEGER ] reviews.district_id = district.district_id
Please write me a SQL statement that answers the following question: In the complains received in 2012, how many of them are submitted through email? [/INST] | SELECT COUNT(`Submitted via`) FROM events WHERE strftime('%Y', `Date received`) = '2012' AND `Submitted via` = 'Email'; |
[INST] Here is a database schema:
state :
StateCode [ TEXT ] primary_key
State [ TEXT ]
Region [ TEXT ]
callcenterlogs :
Date received [ DATE ]
Complaint ID [ TEXT ] primary_key
rand client [ TEXT ] callcenterlogs.rand client = client.client_id
phonefinal [ TEXT ]
vru+line [ TEXT ]
call_id [ INTEGER ]
priority [ INTEGER ]
type [ TEXT ]
outcome [ TEXT ]
server [ TEXT ]
ser_start [ TEXT ]
ser_exit [ TEXT ]
ser_time [ TEXT ]
client :
client_id [ TEXT ] primary_key
sex [ TEXT ]
day [ INTEGER ]
month [ INTEGER ]
year [ INTEGER ]
age [ INTEGER ]
social [ TEXT ]
first [ TEXT ]
middle [ TEXT ]
last [ TEXT ]
phone [ TEXT ]
email [ TEXT ]
address_1 [ TEXT ]
address_2 [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zipcode [ INTEGER ]
district_id [ INTEGER ] client.district_id = district.district_id
district :
district_id [ INTEGER ] primary_key
city [ TEXT ]
state_abbrev [ TEXT ] district.state_abbrev = state.StateCode
division [ TEXT ]
events :
Date received [ DATE ]
Product [ TEXT ]
Sub-product [ TEXT ]
Issue [ TEXT ]
Sub-issue [ TEXT ]
Consumer complaint narrative [ TEXT ]
Tags [ TEXT ]
Consumer consent provided? [ TEXT ]
Submitted via [ TEXT ]
Date sent to company [ TEXT ]
Company response to consumer [ TEXT ]
Timely response? [ TEXT ]
Consumer disputed? [ TEXT ]
Complaint ID [ TEXT ] events.Complaint ID = callcenterlogs.Complaint ID
Client_ID [ TEXT ] events.Client_ID = client.client_id
reviews :
Date [ DATE ] primary_key
Stars [ INTEGER ]
Reviews [ TEXT ]
Product [ TEXT ]
district_id [ INTEGER ] reviews.district_id = district.district_id
Please write me a SQL statement that answers the following question: Give the client ID of the complaint received on April 16, 2014 and submitted through fax. [/INST] | SELECT T2.Client_ID FROM callcenterlogs AS T1 INNER JOIN events AS T2 ON T1.`Complaint ID` = T2.`Complaint ID` WHERE T2.`Submitted via` = 'Fax' AND T1.`Date received` = '2014-04-16'; |
[INST] Here is a database schema:
state :
StateCode [ TEXT ] primary_key
State [ TEXT ]
Region [ TEXT ]
callcenterlogs :
Date received [ DATE ]
Complaint ID [ TEXT ] primary_key
rand client [ TEXT ] callcenterlogs.rand client = client.client_id
phonefinal [ TEXT ]
vru+line [ TEXT ]
call_id [ INTEGER ]
priority [ INTEGER ]
type [ TEXT ]
outcome [ TEXT ]
server [ TEXT ]
ser_start [ TEXT ]
ser_exit [ TEXT ]
ser_time [ TEXT ]
client :
client_id [ TEXT ] primary_key
sex [ TEXT ]
day [ INTEGER ]
month [ INTEGER ]
year [ INTEGER ]
age [ INTEGER ]
social [ TEXT ]
first [ TEXT ]
middle [ TEXT ]
last [ TEXT ]
phone [ TEXT ]
email [ TEXT ]
address_1 [ TEXT ]
address_2 [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zipcode [ INTEGER ]
district_id [ INTEGER ] client.district_id = district.district_id
district :
district_id [ INTEGER ] primary_key
city [ TEXT ]
state_abbrev [ TEXT ] district.state_abbrev = state.StateCode
division [ TEXT ]
events :
Date received [ DATE ]
Product [ TEXT ]
Sub-product [ TEXT ]
Issue [ TEXT ]
Sub-issue [ TEXT ]
Consumer complaint narrative [ TEXT ]
Tags [ TEXT ]
Consumer consent provided? [ TEXT ]
Submitted via [ TEXT ]
Date sent to company [ TEXT ]
Company response to consumer [ TEXT ]
Timely response? [ TEXT ]
Consumer disputed? [ TEXT ]
Complaint ID [ TEXT ] events.Complaint ID = callcenterlogs.Complaint ID
Client_ID [ TEXT ] events.Client_ID = client.client_id
reviews :
Date [ DATE ] primary_key
Stars [ INTEGER ]
Reviews [ TEXT ]
Product [ TEXT ]
district_id [ INTEGER ] reviews.district_id = district.district_id
Please write me a SQL statement that answers the following question: List date of the review of the Eagle Capital from Indianapolis, Indiana. [/INST] | SELECT T2.Date FROM district AS T1 INNER JOIN reviews AS T2 ON T1.district_id = T2.district_id WHERE T2.Product = 'Eagle Capital' AND T1.city = 'Indianapolis' AND T1.state_abbrev = 'IN'; |
[INST] Here is a database schema:
state :
StateCode [ TEXT ] primary_key
State [ TEXT ]
Region [ TEXT ]
callcenterlogs :
Date received [ DATE ]
Complaint ID [ TEXT ] primary_key
rand client [ TEXT ] callcenterlogs.rand client = client.client_id
phonefinal [ TEXT ]
vru+line [ TEXT ]
call_id [ INTEGER ]
priority [ INTEGER ]
type [ TEXT ]
outcome [ TEXT ]
server [ TEXT ]
ser_start [ TEXT ]
ser_exit [ TEXT ]
ser_time [ TEXT ]
client :
client_id [ TEXT ] primary_key
sex [ TEXT ]
day [ INTEGER ]
month [ INTEGER ]
year [ INTEGER ]
age [ INTEGER ]
social [ TEXT ]
first [ TEXT ]
middle [ TEXT ]
last [ TEXT ]
phone [ TEXT ]
email [ TEXT ]
address_1 [ TEXT ]
address_2 [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zipcode [ INTEGER ]
district_id [ INTEGER ] client.district_id = district.district_id
district :
district_id [ INTEGER ] primary_key
city [ TEXT ]
state_abbrev [ TEXT ] district.state_abbrev = state.StateCode
division [ TEXT ]
events :
Date received [ DATE ]
Product [ TEXT ]
Sub-product [ TEXT ]
Issue [ TEXT ]
Sub-issue [ TEXT ]
Consumer complaint narrative [ TEXT ]
Tags [ TEXT ]
Consumer consent provided? [ TEXT ]
Submitted via [ TEXT ]
Date sent to company [ TEXT ]
Company response to consumer [ TEXT ]
Timely response? [ TEXT ]
Consumer disputed? [ TEXT ]
Complaint ID [ TEXT ] events.Complaint ID = callcenterlogs.Complaint ID
Client_ID [ TEXT ] events.Client_ID = client.client_id
reviews :
Date [ DATE ] primary_key
Stars [ INTEGER ]
Reviews [ TEXT ]
Product [ TEXT ]
district_id [ INTEGER ] reviews.district_id = district.district_id
Please write me a SQL statement that answers the following question: Among the complaints received in year 2015, what is total number of complaints timely response and closed with an explanation? [/INST] | SELECT COUNT(T1.`Complaint ID`) FROM callcenterlogs AS T1 INNER JOIN events AS T2 ON T1.`Complaint ID` = T2.`Complaint ID` WHERE strftime('%Y', T1.`Date received`) = '2015' AND T2.`Timely response?` = 'Yes' AND T2.`Company response to consumer` = 'Closed with explanation'; |
[INST] Here is a database schema:
state :
StateCode [ TEXT ] primary_key
State [ TEXT ]
Region [ TEXT ]
callcenterlogs :
Date received [ DATE ]
Complaint ID [ TEXT ] primary_key
rand client [ TEXT ] callcenterlogs.rand client = client.client_id
phonefinal [ TEXT ]
vru+line [ TEXT ]
call_id [ INTEGER ]
priority [ INTEGER ]
type [ TEXT ]
outcome [ TEXT ]
server [ TEXT ]
ser_start [ TEXT ]
ser_exit [ TEXT ]
ser_time [ TEXT ]
client :
client_id [ TEXT ] primary_key
sex [ TEXT ]
day [ INTEGER ]
month [ INTEGER ]
year [ INTEGER ]
age [ INTEGER ]
social [ TEXT ]
first [ TEXT ]
middle [ TEXT ]
last [ TEXT ]
phone [ TEXT ]
email [ TEXT ]
address_1 [ TEXT ]
address_2 [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zipcode [ INTEGER ]
district_id [ INTEGER ] client.district_id = district.district_id
district :
district_id [ INTEGER ] primary_key
city [ TEXT ]
state_abbrev [ TEXT ] district.state_abbrev = state.StateCode
division [ TEXT ]
events :
Date received [ DATE ]
Product [ TEXT ]
Sub-product [ TEXT ]
Issue [ TEXT ]
Sub-issue [ TEXT ]
Consumer complaint narrative [ TEXT ]
Tags [ TEXT ]
Consumer consent provided? [ TEXT ]
Submitted via [ TEXT ]
Date sent to company [ TEXT ]
Company response to consumer [ TEXT ]
Timely response? [ TEXT ]
Consumer disputed? [ TEXT ]
Complaint ID [ TEXT ] events.Complaint ID = callcenterlogs.Complaint ID
Client_ID [ TEXT ] events.Client_ID = client.client_id
reviews :
Date [ DATE ] primary_key
Stars [ INTEGER ]
Reviews [ TEXT ]
Product [ TEXT ]
district_id [ INTEGER ] reviews.district_id = district.district_id
Please write me a SQL statement that answers the following question: Among the female clients that age between 20 to 40, list the date when their complaints were received. [/INST] | SELECT DISTINCT T3.`Date received` FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID INNER JOIN callcenterlogs AS T3 ON T2.`Complaint ID` = T3.`Complaint ID` WHERE T1.age BETWEEN 20 AND 40 AND T1.sex = 'Female'; |
[INST] Here is a database schema:
state :
StateCode [ TEXT ] primary_key
State [ TEXT ]
Region [ TEXT ]
callcenterlogs :
Date received [ DATE ]
Complaint ID [ TEXT ] primary_key
rand client [ TEXT ] callcenterlogs.rand client = client.client_id
phonefinal [ TEXT ]
vru+line [ TEXT ]
call_id [ INTEGER ]
priority [ INTEGER ]
type [ TEXT ]
outcome [ TEXT ]
server [ TEXT ]
ser_start [ TEXT ]
ser_exit [ TEXT ]
ser_time [ TEXT ]
client :
client_id [ TEXT ] primary_key
sex [ TEXT ]
day [ INTEGER ]
month [ INTEGER ]
year [ INTEGER ]
age [ INTEGER ]
social [ TEXT ]
first [ TEXT ]
middle [ TEXT ]
last [ TEXT ]
phone [ TEXT ]
email [ TEXT ]
address_1 [ TEXT ]
address_2 [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zipcode [ INTEGER ]
district_id [ INTEGER ] client.district_id = district.district_id
district :
district_id [ INTEGER ] primary_key
city [ TEXT ]
state_abbrev [ TEXT ] district.state_abbrev = state.StateCode
division [ TEXT ]
events :
Date received [ DATE ]
Product [ TEXT ]
Sub-product [ TEXT ]
Issue [ TEXT ]
Sub-issue [ TEXT ]
Consumer complaint narrative [ TEXT ]
Tags [ TEXT ]
Consumer consent provided? [ TEXT ]
Submitted via [ TEXT ]
Date sent to company [ TEXT ]
Company response to consumer [ TEXT ]
Timely response? [ TEXT ]
Consumer disputed? [ TEXT ]
Complaint ID [ TEXT ] events.Complaint ID = callcenterlogs.Complaint ID
Client_ID [ TEXT ] events.Client_ID = client.client_id
reviews :
Date [ DATE ] primary_key
Stars [ INTEGER ]
Reviews [ TEXT ]
Product [ TEXT ]
district_id [ INTEGER ] reviews.district_id = district.district_id
Please write me a SQL statement that answers the following question: List the product reviewed with 1 star on March 14, 2016 from Newton, Massachusetts. [/INST] | SELECT T2.Product FROM district AS T1 INNER JOIN reviews AS T2 ON T1.district_id = T2.district_id WHERE T1.city = 'Newton' AND T1.state_abbrev = 'MA' AND T2.Date = '2016-03-14' AND T2.Stars = 1; |
[INST] Here is a database schema:
state :
StateCode [ TEXT ] primary_key
State [ TEXT ]
Region [ TEXT ]
callcenterlogs :
Date received [ DATE ]
Complaint ID [ TEXT ] primary_key
rand client [ TEXT ] callcenterlogs.rand client = client.client_id
phonefinal [ TEXT ]
vru+line [ TEXT ]
call_id [ INTEGER ]
priority [ INTEGER ]
type [ TEXT ]
outcome [ TEXT ]
server [ TEXT ]
ser_start [ TEXT ]
ser_exit [ TEXT ]
ser_time [ TEXT ]
client :
client_id [ TEXT ] primary_key
sex [ TEXT ]
day [ INTEGER ]
month [ INTEGER ]
year [ INTEGER ]
age [ INTEGER ]
social [ TEXT ]
first [ TEXT ]
middle [ TEXT ]
last [ TEXT ]
phone [ TEXT ]
email [ TEXT ]
address_1 [ TEXT ]
address_2 [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zipcode [ INTEGER ]
district_id [ INTEGER ] client.district_id = district.district_id
district :
district_id [ INTEGER ] primary_key
city [ TEXT ]
state_abbrev [ TEXT ] district.state_abbrev = state.StateCode
division [ TEXT ]
events :
Date received [ DATE ]
Product [ TEXT ]
Sub-product [ TEXT ]
Issue [ TEXT ]
Sub-issue [ TEXT ]
Consumer complaint narrative [ TEXT ]
Tags [ TEXT ]
Consumer consent provided? [ TEXT ]
Submitted via [ TEXT ]
Date sent to company [ TEXT ]
Company response to consumer [ TEXT ]
Timely response? [ TEXT ]
Consumer disputed? [ TEXT ]
Complaint ID [ TEXT ] events.Complaint ID = callcenterlogs.Complaint ID
Client_ID [ TEXT ] events.Client_ID = client.client_id
reviews :
Date [ DATE ] primary_key
Stars [ INTEGER ]
Reviews [ TEXT ]
Product [ TEXT ]
district_id [ INTEGER ] reviews.district_id = district.district_id
Please write me a SQL statement that answers the following question: In reviews for the Eagle National Bank product, how many of the 5 star reviews where from Nashville, Tennessee? [/INST] | SELECT COUNT(T2.Stars) FROM district AS T1 INNER JOIN reviews AS T2 ON T1.district_id = T2.district_id WHERE T1.city = 'Nashville' AND T1.state_abbrev = 'TN' AND T2.Product = 'Eagle National Mortgage' AND T2.Stars = 5; |