input
stringlengths 358
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[INST] Here is a database schema:
authors :
au_id [ TEXT ] primary_key
au_lname [ TEXT ]
au_fname [ TEXT ]
phone [ TEXT ]
address [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zip [ TEXT ]
contract [ TEXT ]
jobs :
job_id [ INTEGER ] primary_key
job_desc [ TEXT ]
min_lvl [ INTEGER ]
max_lvl [ INTEGER ]
publishers :
pub_id [ TEXT ] primary_key
pub_name [ TEXT ]
city [ TEXT ]
state [ TEXT ]
country [ TEXT ]
employee :
emp_id [ TEXT ] primary_key
fname [ TEXT ]
minit [ TEXT ]
lname [ TEXT ]
job_id [ INTEGER ] employee.job_id = jobs.job_id
job_lvl [ INTEGER ]
pub_id [ TEXT ] employee.pub_id = publishers.pub_id
hire_date [ DATETIME ]
pub_info :
pub_id [ TEXT ] primary_key pub_info.pub_id = publishers.pub_id
logo [ BLOB ]
pr_info [ TEXT ]
stores :
stor_id [ TEXT ] primary_key
stor_name [ TEXT ]
stor_address [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zip [ TEXT ]
discounts :
discounttype [ TEXT ]
stor_id [ TEXT ] discounts.stor_id = stores.stor_id
lowqty [ INTEGER ]
highqty [ INTEGER ]
discount [ REAL ]
titles :
title_id [ TEXT ] primary_key
title [ TEXT ]
type [ TEXT ]
pub_id [ TEXT ] titles.pub_id = publishers.pub_id
price [ REAL ]
advance [ REAL ]
royalty [ INTEGER ]
ytd_sales [ INTEGER ]
notes [ TEXT ]
pubdate [ DATETIME ]
roysched :
title_id [ TEXT ] roysched.title_id = titles.title_id
lorange [ INTEGER ]
hirange [ INTEGER ]
royalty [ INTEGER ]
sales :
stor_id [ TEXT ] sales.stor_id = stores.stor_id
ord_num [ TEXT ]
ord_date [ DATETIME ]
qty [ INTEGER ]
payterms [ TEXT ]
title_id [ TEXT ] sales.title_id = titles.title_id
titleauthor :
au_id [ TEXT ] titleauthor.au_id = authors.au_id
title_id [ TEXT ] titleauthor.title_id = titles.title_id
au_ord [ INTEGER ]
royaltyper [ INTEGER ]
Please write me a SQL statement that answers the following question: Please list the first names of the employees who work as Managing Editor. [/INST] | SELECT T1.fname FROM employee AS T1 INNER JOIN jobs AS T2 ON T1.job_id = T2.job_id WHERE T2.job_desc = 'Managing Editor'; |
[INST] Here is a database schema:
authors :
au_id [ TEXT ] primary_key
au_lname [ TEXT ]
au_fname [ TEXT ]
phone [ TEXT ]
address [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zip [ TEXT ]
contract [ TEXT ]
jobs :
job_id [ INTEGER ] primary_key
job_desc [ TEXT ]
min_lvl [ INTEGER ]
max_lvl [ INTEGER ]
publishers :
pub_id [ TEXT ] primary_key
pub_name [ TEXT ]
city [ TEXT ]
state [ TEXT ]
country [ TEXT ]
employee :
emp_id [ TEXT ] primary_key
fname [ TEXT ]
minit [ TEXT ]
lname [ TEXT ]
job_id [ INTEGER ] employee.job_id = jobs.job_id
job_lvl [ INTEGER ]
pub_id [ TEXT ] employee.pub_id = publishers.pub_id
hire_date [ DATETIME ]
pub_info :
pub_id [ TEXT ] primary_key pub_info.pub_id = publishers.pub_id
logo [ BLOB ]
pr_info [ TEXT ]
stores :
stor_id [ TEXT ] primary_key
stor_name [ TEXT ]
stor_address [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zip [ TEXT ]
discounts :
discounttype [ TEXT ]
stor_id [ TEXT ] discounts.stor_id = stores.stor_id
lowqty [ INTEGER ]
highqty [ INTEGER ]
discount [ REAL ]
titles :
title_id [ TEXT ] primary_key
title [ TEXT ]
type [ TEXT ]
pub_id [ TEXT ] titles.pub_id = publishers.pub_id
price [ REAL ]
advance [ REAL ]
royalty [ INTEGER ]
ytd_sales [ INTEGER ]
notes [ TEXT ]
pubdate [ DATETIME ]
roysched :
title_id [ TEXT ] roysched.title_id = titles.title_id
lorange [ INTEGER ]
hirange [ INTEGER ]
royalty [ INTEGER ]
sales :
stor_id [ TEXT ] sales.stor_id = stores.stor_id
ord_num [ TEXT ]
ord_date [ DATETIME ]
qty [ INTEGER ]
payterms [ TEXT ]
title_id [ TEXT ] sales.title_id = titles.title_id
titleauthor :
au_id [ TEXT ] titleauthor.au_id = authors.au_id
title_id [ TEXT ] titleauthor.title_id = titles.title_id
au_ord [ INTEGER ]
royaltyper [ INTEGER ]
Please write me a SQL statement that answers the following question: What is the highest level of job to get to for the employee who got hired the earliest? [/INST] | SELECT T2.max_lvl FROM employee AS T1 INNER JOIN jobs AS T2 ON T1.job_id = T2.job_id ORDER BY T1.hire_date LIMIT 1; |
[INST] Here is a database schema:
authors :
au_id [ TEXT ] primary_key
au_lname [ TEXT ]
au_fname [ TEXT ]
phone [ TEXT ]
address [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zip [ TEXT ]
contract [ TEXT ]
jobs :
job_id [ INTEGER ] primary_key
job_desc [ TEXT ]
min_lvl [ INTEGER ]
max_lvl [ INTEGER ]
publishers :
pub_id [ TEXT ] primary_key
pub_name [ TEXT ]
city [ TEXT ]
state [ TEXT ]
country [ TEXT ]
employee :
emp_id [ TEXT ] primary_key
fname [ TEXT ]
minit [ TEXT ]
lname [ TEXT ]
job_id [ INTEGER ] employee.job_id = jobs.job_id
job_lvl [ INTEGER ]
pub_id [ TEXT ] employee.pub_id = publishers.pub_id
hire_date [ DATETIME ]
pub_info :
pub_id [ TEXT ] primary_key pub_info.pub_id = publishers.pub_id
logo [ BLOB ]
pr_info [ TEXT ]
stores :
stor_id [ TEXT ] primary_key
stor_name [ TEXT ]
stor_address [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zip [ TEXT ]
discounts :
discounttype [ TEXT ]
stor_id [ TEXT ] discounts.stor_id = stores.stor_id
lowqty [ INTEGER ]
highqty [ INTEGER ]
discount [ REAL ]
titles :
title_id [ TEXT ] primary_key
title [ TEXT ]
type [ TEXT ]
pub_id [ TEXT ] titles.pub_id = publishers.pub_id
price [ REAL ]
advance [ REAL ]
royalty [ INTEGER ]
ytd_sales [ INTEGER ]
notes [ TEXT ]
pubdate [ DATETIME ]
roysched :
title_id [ TEXT ] roysched.title_id = titles.title_id
lorange [ INTEGER ]
hirange [ INTEGER ]
royalty [ INTEGER ]
sales :
stor_id [ TEXT ] sales.stor_id = stores.stor_id
ord_num [ TEXT ]
ord_date [ DATETIME ]
qty [ INTEGER ]
payterms [ TEXT ]
title_id [ TEXT ] sales.title_id = titles.title_id
titleauthor :
au_id [ TEXT ] titleauthor.au_id = authors.au_id
title_id [ TEXT ] titleauthor.title_id = titles.title_id
au_ord [ INTEGER ]
royaltyper [ INTEGER ]
Please write me a SQL statement that answers the following question: In which city is the store with the highest total sales quantity located? [/INST] | SELECT T2.city FROM sales AS T1 INNER JOIN stores AS T2 ON T1.stor_id = T2.stor_id GROUP BY T2.city ORDER BY SUM(T1.qty) DESC LIMIT 1; |
[INST] Here is a database schema:
authors :
au_id [ TEXT ] primary_key
au_lname [ TEXT ]
au_fname [ TEXT ]
phone [ TEXT ]
address [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zip [ TEXT ]
contract [ TEXT ]
jobs :
job_id [ INTEGER ] primary_key
job_desc [ TEXT ]
min_lvl [ INTEGER ]
max_lvl [ INTEGER ]
publishers :
pub_id [ TEXT ] primary_key
pub_name [ TEXT ]
city [ TEXT ]
state [ TEXT ]
country [ TEXT ]
employee :
emp_id [ TEXT ] primary_key
fname [ TEXT ]
minit [ TEXT ]
lname [ TEXT ]
job_id [ INTEGER ] employee.job_id = jobs.job_id
job_lvl [ INTEGER ]
pub_id [ TEXT ] employee.pub_id = publishers.pub_id
hire_date [ DATETIME ]
pub_info :
pub_id [ TEXT ] primary_key pub_info.pub_id = publishers.pub_id
logo [ BLOB ]
pr_info [ TEXT ]
stores :
stor_id [ TEXT ] primary_key
stor_name [ TEXT ]
stor_address [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zip [ TEXT ]
discounts :
discounttype [ TEXT ]
stor_id [ TEXT ] discounts.stor_id = stores.stor_id
lowqty [ INTEGER ]
highqty [ INTEGER ]
discount [ REAL ]
titles :
title_id [ TEXT ] primary_key
title [ TEXT ]
type [ TEXT ]
pub_id [ TEXT ] titles.pub_id = publishers.pub_id
price [ REAL ]
advance [ REAL ]
royalty [ INTEGER ]
ytd_sales [ INTEGER ]
notes [ TEXT ]
pubdate [ DATETIME ]
roysched :
title_id [ TEXT ] roysched.title_id = titles.title_id
lorange [ INTEGER ]
hirange [ INTEGER ]
royalty [ INTEGER ]
sales :
stor_id [ TEXT ] sales.stor_id = stores.stor_id
ord_num [ TEXT ]
ord_date [ DATETIME ]
qty [ INTEGER ]
payterms [ TEXT ]
title_id [ TEXT ] sales.title_id = titles.title_id
titleauthor :
au_id [ TEXT ] titleauthor.au_id = authors.au_id
title_id [ TEXT ] titleauthor.title_id = titles.title_id
au_ord [ INTEGER ]
royaltyper [ INTEGER ]
Please write me a SQL statement that answers the following question: What is the price of the book that sells the best? [/INST] | SELECT T2.price FROM sales AS T1 INNER JOIN titles AS T2 ON T1.title_id = T2.title_id ORDER BY T1.qty DESC LIMIT 1; |
[INST] Here is a database schema:
authors :
au_id [ TEXT ] primary_key
au_lname [ TEXT ]
au_fname [ TEXT ]
phone [ TEXT ]
address [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zip [ TEXT ]
contract [ TEXT ]
jobs :
job_id [ INTEGER ] primary_key
job_desc [ TEXT ]
min_lvl [ INTEGER ]
max_lvl [ INTEGER ]
publishers :
pub_id [ TEXT ] primary_key
pub_name [ TEXT ]
city [ TEXT ]
state [ TEXT ]
country [ TEXT ]
employee :
emp_id [ TEXT ] primary_key
fname [ TEXT ]
minit [ TEXT ]
lname [ TEXT ]
job_id [ INTEGER ] employee.job_id = jobs.job_id
job_lvl [ INTEGER ]
pub_id [ TEXT ] employee.pub_id = publishers.pub_id
hire_date [ DATETIME ]
pub_info :
pub_id [ TEXT ] primary_key pub_info.pub_id = publishers.pub_id
logo [ BLOB ]
pr_info [ TEXT ]
stores :
stor_id [ TEXT ] primary_key
stor_name [ TEXT ]
stor_address [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zip [ TEXT ]
discounts :
discounttype [ TEXT ]
stor_id [ TEXT ] discounts.stor_id = stores.stor_id
lowqty [ INTEGER ]
highqty [ INTEGER ]
discount [ REAL ]
titles :
title_id [ TEXT ] primary_key
title [ TEXT ]
type [ TEXT ]
pub_id [ TEXT ] titles.pub_id = publishers.pub_id
price [ REAL ]
advance [ REAL ]
royalty [ INTEGER ]
ytd_sales [ INTEGER ]
notes [ TEXT ]
pubdate [ DATETIME ]
roysched :
title_id [ TEXT ] roysched.title_id = titles.title_id
lorange [ INTEGER ]
hirange [ INTEGER ]
royalty [ INTEGER ]
sales :
stor_id [ TEXT ] sales.stor_id = stores.stor_id
ord_num [ TEXT ]
ord_date [ DATETIME ]
qty [ INTEGER ]
payterms [ TEXT ]
title_id [ TEXT ] sales.title_id = titles.title_id
titleauthor :
au_id [ TEXT ] titleauthor.au_id = authors.au_id
title_id [ TEXT ] titleauthor.title_id = titles.title_id
au_ord [ INTEGER ]
royaltyper [ INTEGER ]
Please write me a SQL statement that answers the following question: Please list the stores that ordered the book "Life Without Fear". [/INST] | SELECT T2.stor_name FROM sales AS T1 INNER JOIN stores AS T2 ON T1.stor_id = T2.stor_id INNER JOIN titles AS T3 ON T1.title_id = T3.title_id WHERE T3.title = 'Life Without Fear'; |
[INST] Here is a database schema:
authors :
au_id [ TEXT ] primary_key
au_lname [ TEXT ]
au_fname [ TEXT ]
phone [ TEXT ]
address [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zip [ TEXT ]
contract [ TEXT ]
jobs :
job_id [ INTEGER ] primary_key
job_desc [ TEXT ]
min_lvl [ INTEGER ]
max_lvl [ INTEGER ]
publishers :
pub_id [ TEXT ] primary_key
pub_name [ TEXT ]
city [ TEXT ]
state [ TEXT ]
country [ TEXT ]
employee :
emp_id [ TEXT ] primary_key
fname [ TEXT ]
minit [ TEXT ]
lname [ TEXT ]
job_id [ INTEGER ] employee.job_id = jobs.job_id
job_lvl [ INTEGER ]
pub_id [ TEXT ] employee.pub_id = publishers.pub_id
hire_date [ DATETIME ]
pub_info :
pub_id [ TEXT ] primary_key pub_info.pub_id = publishers.pub_id
logo [ BLOB ]
pr_info [ TEXT ]
stores :
stor_id [ TEXT ] primary_key
stor_name [ TEXT ]
stor_address [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zip [ TEXT ]
discounts :
discounttype [ TEXT ]
stor_id [ TEXT ] discounts.stor_id = stores.stor_id
lowqty [ INTEGER ]
highqty [ INTEGER ]
discount [ REAL ]
titles :
title_id [ TEXT ] primary_key
title [ TEXT ]
type [ TEXT ]
pub_id [ TEXT ] titles.pub_id = publishers.pub_id
price [ REAL ]
advance [ REAL ]
royalty [ INTEGER ]
ytd_sales [ INTEGER ]
notes [ TEXT ]
pubdate [ DATETIME ]
roysched :
title_id [ TEXT ] roysched.title_id = titles.title_id
lorange [ INTEGER ]
hirange [ INTEGER ]
royalty [ INTEGER ]
sales :
stor_id [ TEXT ] sales.stor_id = stores.stor_id
ord_num [ TEXT ]
ord_date [ DATETIME ]
qty [ INTEGER ]
payterms [ TEXT ]
title_id [ TEXT ] sales.title_id = titles.title_id
titleauthor :
au_id [ TEXT ] titleauthor.au_id = authors.au_id
title_id [ TEXT ] titleauthor.title_id = titles.title_id
au_ord [ INTEGER ]
royaltyper [ INTEGER ]
Please write me a SQL statement that answers the following question: Among the stores that have ordered the book "Life Without Fear", how many of them are located in Massachusetts? [/INST] | SELECT COUNT(T1.stor_id) FROM sales AS T1 INNER JOIN stores AS T2 ON T1.stor_id = T2.stor_id INNER JOIN titles AS T3 ON T1.title_id = T3.title_id WHERE T2.state = 'Massachusetts'; |
[INST] Here is a database schema:
authors :
au_id [ TEXT ] primary_key
au_lname [ TEXT ]
au_fname [ TEXT ]
phone [ TEXT ]
address [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zip [ TEXT ]
contract [ TEXT ]
jobs :
job_id [ INTEGER ] primary_key
job_desc [ TEXT ]
min_lvl [ INTEGER ]
max_lvl [ INTEGER ]
publishers :
pub_id [ TEXT ] primary_key
pub_name [ TEXT ]
city [ TEXT ]
state [ TEXT ]
country [ TEXT ]
employee :
emp_id [ TEXT ] primary_key
fname [ TEXT ]
minit [ TEXT ]
lname [ TEXT ]
job_id [ INTEGER ] employee.job_id = jobs.job_id
job_lvl [ INTEGER ]
pub_id [ TEXT ] employee.pub_id = publishers.pub_id
hire_date [ DATETIME ]
pub_info :
pub_id [ TEXT ] primary_key pub_info.pub_id = publishers.pub_id
logo [ BLOB ]
pr_info [ TEXT ]
stores :
stor_id [ TEXT ] primary_key
stor_name [ TEXT ]
stor_address [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zip [ TEXT ]
discounts :
discounttype [ TEXT ]
stor_id [ TEXT ] discounts.stor_id = stores.stor_id
lowqty [ INTEGER ]
highqty [ INTEGER ]
discount [ REAL ]
titles :
title_id [ TEXT ] primary_key
title [ TEXT ]
type [ TEXT ]
pub_id [ TEXT ] titles.pub_id = publishers.pub_id
price [ REAL ]
advance [ REAL ]
royalty [ INTEGER ]
ytd_sales [ INTEGER ]
notes [ TEXT ]
pubdate [ DATETIME ]
roysched :
title_id [ TEXT ] roysched.title_id = titles.title_id
lorange [ INTEGER ]
hirange [ INTEGER ]
royalty [ INTEGER ]
sales :
stor_id [ TEXT ] sales.stor_id = stores.stor_id
ord_num [ TEXT ]
ord_date [ DATETIME ]
qty [ INTEGER ]
payterms [ TEXT ]
title_id [ TEXT ] sales.title_id = titles.title_id
titleauthor :
au_id [ TEXT ] titleauthor.au_id = authors.au_id
title_id [ TEXT ] titleauthor.title_id = titles.title_id
au_ord [ INTEGER ]
royaltyper [ INTEGER ]
Please write me a SQL statement that answers the following question: In which country is the publisher of the book "Life Without Fear" located? [/INST] | SELECT T2.country FROM titles AS T1 INNER JOIN publishers AS T2 ON T1.pub_id = T2.pub_id WHERE T1.title = 'Life Without Fear'; |
[INST] Here is a database schema:
authors :
au_id [ TEXT ] primary_key
au_lname [ TEXT ]
au_fname [ TEXT ]
phone [ TEXT ]
address [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zip [ TEXT ]
contract [ TEXT ]
jobs :
job_id [ INTEGER ] primary_key
job_desc [ TEXT ]
min_lvl [ INTEGER ]
max_lvl [ INTEGER ]
publishers :
pub_id [ TEXT ] primary_key
pub_name [ TEXT ]
city [ TEXT ]
state [ TEXT ]
country [ TEXT ]
employee :
emp_id [ TEXT ] primary_key
fname [ TEXT ]
minit [ TEXT ]
lname [ TEXT ]
job_id [ INTEGER ] employee.job_id = jobs.job_id
job_lvl [ INTEGER ]
pub_id [ TEXT ] employee.pub_id = publishers.pub_id
hire_date [ DATETIME ]
pub_info :
pub_id [ TEXT ] primary_key pub_info.pub_id = publishers.pub_id
logo [ BLOB ]
pr_info [ TEXT ]
stores :
stor_id [ TEXT ] primary_key
stor_name [ TEXT ]
stor_address [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zip [ TEXT ]
discounts :
discounttype [ TEXT ]
stor_id [ TEXT ] discounts.stor_id = stores.stor_id
lowqty [ INTEGER ]
highqty [ INTEGER ]
discount [ REAL ]
titles :
title_id [ TEXT ] primary_key
title [ TEXT ]
type [ TEXT ]
pub_id [ TEXT ] titles.pub_id = publishers.pub_id
price [ REAL ]
advance [ REAL ]
royalty [ INTEGER ]
ytd_sales [ INTEGER ]
notes [ TEXT ]
pubdate [ DATETIME ]
roysched :
title_id [ TEXT ] roysched.title_id = titles.title_id
lorange [ INTEGER ]
hirange [ INTEGER ]
royalty [ INTEGER ]
sales :
stor_id [ TEXT ] sales.stor_id = stores.stor_id
ord_num [ TEXT ]
ord_date [ DATETIME ]
qty [ INTEGER ]
payterms [ TEXT ]
title_id [ TEXT ] sales.title_id = titles.title_id
titleauthor :
au_id [ TEXT ] titleauthor.au_id = authors.au_id
title_id [ TEXT ] titleauthor.title_id = titles.title_id
au_ord [ INTEGER ]
royaltyper [ INTEGER ]
Please write me a SQL statement that answers the following question: What is the publisher that has published the most expensive book? [/INST] | SELECT T2.pub_name FROM titles AS T1 INNER JOIN publishers AS T2 ON T1.pub_id = T2.pub_id ORDER BY T1.price DESC LIMIT 1; |
[INST] Here is a database schema:
authors :
au_id [ TEXT ] primary_key
au_lname [ TEXT ]
au_fname [ TEXT ]
phone [ TEXT ]
address [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zip [ TEXT ]
contract [ TEXT ]
jobs :
job_id [ INTEGER ] primary_key
job_desc [ TEXT ]
min_lvl [ INTEGER ]
max_lvl [ INTEGER ]
publishers :
pub_id [ TEXT ] primary_key
pub_name [ TEXT ]
city [ TEXT ]
state [ TEXT ]
country [ TEXT ]
employee :
emp_id [ TEXT ] primary_key
fname [ TEXT ]
minit [ TEXT ]
lname [ TEXT ]
job_id [ INTEGER ] employee.job_id = jobs.job_id
job_lvl [ INTEGER ]
pub_id [ TEXT ] employee.pub_id = publishers.pub_id
hire_date [ DATETIME ]
pub_info :
pub_id [ TEXT ] primary_key pub_info.pub_id = publishers.pub_id
logo [ BLOB ]
pr_info [ TEXT ]
stores :
stor_id [ TEXT ] primary_key
stor_name [ TEXT ]
stor_address [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zip [ TEXT ]
discounts :
discounttype [ TEXT ]
stor_id [ TEXT ] discounts.stor_id = stores.stor_id
lowqty [ INTEGER ]
highqty [ INTEGER ]
discount [ REAL ]
titles :
title_id [ TEXT ] primary_key
title [ TEXT ]
type [ TEXT ]
pub_id [ TEXT ] titles.pub_id = publishers.pub_id
price [ REAL ]
advance [ REAL ]
royalty [ INTEGER ]
ytd_sales [ INTEGER ]
notes [ TEXT ]
pubdate [ DATETIME ]
roysched :
title_id [ TEXT ] roysched.title_id = titles.title_id
lorange [ INTEGER ]
hirange [ INTEGER ]
royalty [ INTEGER ]
sales :
stor_id [ TEXT ] sales.stor_id = stores.stor_id
ord_num [ TEXT ]
ord_date [ DATETIME ]
qty [ INTEGER ]
payterms [ TEXT ]
title_id [ TEXT ] sales.title_id = titles.title_id
titleauthor :
au_id [ TEXT ] titleauthor.au_id = authors.au_id
title_id [ TEXT ] titleauthor.title_id = titles.title_id
au_ord [ INTEGER ]
royaltyper [ INTEGER ]
Please write me a SQL statement that answers the following question: Among the publishers in the USA, how many of them have published books that are over $15? [/INST] | SELECT COUNT(DISTINCT T1.pub_id) FROM titles AS T1 INNER JOIN publishers AS T2 ON T1.pub_id = T2.pub_id WHERE T2.country = 'USA' AND T1.price > 15; |
[INST] Here is a database schema:
authors :
au_id [ TEXT ] primary_key
au_lname [ TEXT ]
au_fname [ TEXT ]
phone [ TEXT ]
address [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zip [ TEXT ]
contract [ TEXT ]
jobs :
job_id [ INTEGER ] primary_key
job_desc [ TEXT ]
min_lvl [ INTEGER ]
max_lvl [ INTEGER ]
publishers :
pub_id [ TEXT ] primary_key
pub_name [ TEXT ]
city [ TEXT ]
state [ TEXT ]
country [ TEXT ]
employee :
emp_id [ TEXT ] primary_key
fname [ TEXT ]
minit [ TEXT ]
lname [ TEXT ]
job_id [ INTEGER ] employee.job_id = jobs.job_id
job_lvl [ INTEGER ]
pub_id [ TEXT ] employee.pub_id = publishers.pub_id
hire_date [ DATETIME ]
pub_info :
pub_id [ TEXT ] primary_key pub_info.pub_id = publishers.pub_id
logo [ BLOB ]
pr_info [ TEXT ]
stores :
stor_id [ TEXT ] primary_key
stor_name [ TEXT ]
stor_address [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zip [ TEXT ]
discounts :
discounttype [ TEXT ]
stor_id [ TEXT ] discounts.stor_id = stores.stor_id
lowqty [ INTEGER ]
highqty [ INTEGER ]
discount [ REAL ]
titles :
title_id [ TEXT ] primary_key
title [ TEXT ]
type [ TEXT ]
pub_id [ TEXT ] titles.pub_id = publishers.pub_id
price [ REAL ]
advance [ REAL ]
royalty [ INTEGER ]
ytd_sales [ INTEGER ]
notes [ TEXT ]
pubdate [ DATETIME ]
roysched :
title_id [ TEXT ] roysched.title_id = titles.title_id
lorange [ INTEGER ]
hirange [ INTEGER ]
royalty [ INTEGER ]
sales :
stor_id [ TEXT ] sales.stor_id = stores.stor_id
ord_num [ TEXT ]
ord_date [ DATETIME ]
qty [ INTEGER ]
payterms [ TEXT ]
title_id [ TEXT ] sales.title_id = titles.title_id
titleauthor :
au_id [ TEXT ] titleauthor.au_id = authors.au_id
title_id [ TEXT ] titleauthor.title_id = titles.title_id
au_ord [ INTEGER ]
royaltyper [ INTEGER ]
Please write me a SQL statement that answers the following question: Please give more detailed information about the first three books that sell the best. [/INST] | SELECT T1.notes FROM titles AS T1 INNER JOIN sales AS T2 ON T1.title_id = T2.title_id ORDER BY T2.qty DESC LIMIT 3; |
[INST] Here is a database schema:
authors :
au_id [ TEXT ] primary_key
au_lname [ TEXT ]
au_fname [ TEXT ]
phone [ TEXT ]
address [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zip [ TEXT ]
contract [ TEXT ]
jobs :
job_id [ INTEGER ] primary_key
job_desc [ TEXT ]
min_lvl [ INTEGER ]
max_lvl [ INTEGER ]
publishers :
pub_id [ TEXT ] primary_key
pub_name [ TEXT ]
city [ TEXT ]
state [ TEXT ]
country [ TEXT ]
employee :
emp_id [ TEXT ] primary_key
fname [ TEXT ]
minit [ TEXT ]
lname [ TEXT ]
job_id [ INTEGER ] employee.job_id = jobs.job_id
job_lvl [ INTEGER ]
pub_id [ TEXT ] employee.pub_id = publishers.pub_id
hire_date [ DATETIME ]
pub_info :
pub_id [ TEXT ] primary_key pub_info.pub_id = publishers.pub_id
logo [ BLOB ]
pr_info [ TEXT ]
stores :
stor_id [ TEXT ] primary_key
stor_name [ TEXT ]
stor_address [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zip [ TEXT ]
discounts :
discounttype [ TEXT ]
stor_id [ TEXT ] discounts.stor_id = stores.stor_id
lowqty [ INTEGER ]
highqty [ INTEGER ]
discount [ REAL ]
titles :
title_id [ TEXT ] primary_key
title [ TEXT ]
type [ TEXT ]
pub_id [ TEXT ] titles.pub_id = publishers.pub_id
price [ REAL ]
advance [ REAL ]
royalty [ INTEGER ]
ytd_sales [ INTEGER ]
notes [ TEXT ]
pubdate [ DATETIME ]
roysched :
title_id [ TEXT ] roysched.title_id = titles.title_id
lorange [ INTEGER ]
hirange [ INTEGER ]
royalty [ INTEGER ]
sales :
stor_id [ TEXT ] sales.stor_id = stores.stor_id
ord_num [ TEXT ]
ord_date [ DATETIME ]
qty [ INTEGER ]
payterms [ TEXT ]
title_id [ TEXT ] sales.title_id = titles.title_id
titleauthor :
au_id [ TEXT ] titleauthor.au_id = authors.au_id
title_id [ TEXT ] titleauthor.title_id = titles.title_id
au_ord [ INTEGER ]
royaltyper [ INTEGER ]
Please write me a SQL statement that answers the following question: How many books on business have the bookstores in Massachusetts ordered? [/INST] | SELECT SUM(T1.qty) FROM sales AS T1 INNER JOIN stores AS T2 ON T1.stor_id = T2.stor_id INNER JOIN titles AS T3 ON T1.title_id = T3.title_id WHERE T2.state = 'Massachusetts' AND T3.type = 'business'; |
[INST] Here is a database schema:
authors :
au_id [ TEXT ] primary_key
au_lname [ TEXT ]
au_fname [ TEXT ]
phone [ TEXT ]
address [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zip [ TEXT ]
contract [ TEXT ]
jobs :
job_id [ INTEGER ] primary_key
job_desc [ TEXT ]
min_lvl [ INTEGER ]
max_lvl [ INTEGER ]
publishers :
pub_id [ TEXT ] primary_key
pub_name [ TEXT ]
city [ TEXT ]
state [ TEXT ]
country [ TEXT ]
employee :
emp_id [ TEXT ] primary_key
fname [ TEXT ]
minit [ TEXT ]
lname [ TEXT ]
job_id [ INTEGER ] employee.job_id = jobs.job_id
job_lvl [ INTEGER ]
pub_id [ TEXT ] employee.pub_id = publishers.pub_id
hire_date [ DATETIME ]
pub_info :
pub_id [ TEXT ] primary_key pub_info.pub_id = publishers.pub_id
logo [ BLOB ]
pr_info [ TEXT ]
stores :
stor_id [ TEXT ] primary_key
stor_name [ TEXT ]
stor_address [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zip [ TEXT ]
discounts :
discounttype [ TEXT ]
stor_id [ TEXT ] discounts.stor_id = stores.stor_id
lowqty [ INTEGER ]
highqty [ INTEGER ]
discount [ REAL ]
titles :
title_id [ TEXT ] primary_key
title [ TEXT ]
type [ TEXT ]
pub_id [ TEXT ] titles.pub_id = publishers.pub_id
price [ REAL ]
advance [ REAL ]
royalty [ INTEGER ]
ytd_sales [ INTEGER ]
notes [ TEXT ]
pubdate [ DATETIME ]
roysched :
title_id [ TEXT ] roysched.title_id = titles.title_id
lorange [ INTEGER ]
hirange [ INTEGER ]
royalty [ INTEGER ]
sales :
stor_id [ TEXT ] sales.stor_id = stores.stor_id
ord_num [ TEXT ]
ord_date [ DATETIME ]
qty [ INTEGER ]
payterms [ TEXT ]
title_id [ TEXT ] sales.title_id = titles.title_id
titleauthor :
au_id [ TEXT ] titleauthor.au_id = authors.au_id
title_id [ TEXT ] titleauthor.title_id = titles.title_id
au_ord [ INTEGER ]
royaltyper [ INTEGER ]
Please write me a SQL statement that answers the following question: What is the average quantity of each order for the book "Life Without Fear"? [/INST] | SELECT CAST(SUM(T2.qty) AS REAL) / COUNT(T1.title_id) FROM titles AS T1 INNER JOIN sales AS T2 ON T1.title_id = T2.title_id WHERE T1.title = 'Life Without Fear'; |
[INST] Here is a database schema:
authors :
au_id [ TEXT ] primary_key
au_lname [ TEXT ]
au_fname [ TEXT ]
phone [ TEXT ]
address [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zip [ TEXT ]
contract [ TEXT ]
jobs :
job_id [ INTEGER ] primary_key
job_desc [ TEXT ]
min_lvl [ INTEGER ]
max_lvl [ INTEGER ]
publishers :
pub_id [ TEXT ] primary_key
pub_name [ TEXT ]
city [ TEXT ]
state [ TEXT ]
country [ TEXT ]
employee :
emp_id [ TEXT ] primary_key
fname [ TEXT ]
minit [ TEXT ]
lname [ TEXT ]
job_id [ INTEGER ] employee.job_id = jobs.job_id
job_lvl [ INTEGER ]
pub_id [ TEXT ] employee.pub_id = publishers.pub_id
hire_date [ DATETIME ]
pub_info :
pub_id [ TEXT ] primary_key pub_info.pub_id = publishers.pub_id
logo [ BLOB ]
pr_info [ TEXT ]
stores :
stor_id [ TEXT ] primary_key
stor_name [ TEXT ]
stor_address [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zip [ TEXT ]
discounts :
discounttype [ TEXT ]
stor_id [ TEXT ] discounts.stor_id = stores.stor_id
lowqty [ INTEGER ]
highqty [ INTEGER ]
discount [ REAL ]
titles :
title_id [ TEXT ] primary_key
title [ TEXT ]
type [ TEXT ]
pub_id [ TEXT ] titles.pub_id = publishers.pub_id
price [ REAL ]
advance [ REAL ]
royalty [ INTEGER ]
ytd_sales [ INTEGER ]
notes [ TEXT ]
pubdate [ DATETIME ]
roysched :
title_id [ TEXT ] roysched.title_id = titles.title_id
lorange [ INTEGER ]
hirange [ INTEGER ]
royalty [ INTEGER ]
sales :
stor_id [ TEXT ] sales.stor_id = stores.stor_id
ord_num [ TEXT ]
ord_date [ DATETIME ]
qty [ INTEGER ]
payterms [ TEXT ]
title_id [ TEXT ] sales.title_id = titles.title_id
titleauthor :
au_id [ TEXT ] titleauthor.au_id = authors.au_id
title_id [ TEXT ] titleauthor.title_id = titles.title_id
au_ord [ INTEGER ]
royaltyper [ INTEGER ]
Please write me a SQL statement that answers the following question: What is the average level employees working as Managing Editor are at? How many levels are there between the average level and the highest level? [/INST] | SELECT AVG(T2.job_lvl), T1.max_lvl - AVG(T2.job_lvl) FROM jobs AS T1 INNER JOIN employee AS T2 ON T1.job_id = T2.job_id WHERE T1.job_desc = 'Managing Editor' GROUP BY T2.job_id, T1.max_lvl; |
[INST] Here is a database schema:
authors :
au_id [ TEXT ] primary_key
au_lname [ TEXT ]
au_fname [ TEXT ]
phone [ TEXT ]
address [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zip [ TEXT ]
contract [ TEXT ]
jobs :
job_id [ INTEGER ] primary_key
job_desc [ TEXT ]
min_lvl [ INTEGER ]
max_lvl [ INTEGER ]
publishers :
pub_id [ TEXT ] primary_key
pub_name [ TEXT ]
city [ TEXT ]
state [ TEXT ]
country [ TEXT ]
employee :
emp_id [ TEXT ] primary_key
fname [ TEXT ]
minit [ TEXT ]
lname [ TEXT ]
job_id [ INTEGER ] employee.job_id = jobs.job_id
job_lvl [ INTEGER ]
pub_id [ TEXT ] employee.pub_id = publishers.pub_id
hire_date [ DATETIME ]
pub_info :
pub_id [ TEXT ] primary_key pub_info.pub_id = publishers.pub_id
logo [ BLOB ]
pr_info [ TEXT ]
stores :
stor_id [ TEXT ] primary_key
stor_name [ TEXT ]
stor_address [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zip [ TEXT ]
discounts :
discounttype [ TEXT ]
stor_id [ TEXT ] discounts.stor_id = stores.stor_id
lowqty [ INTEGER ]
highqty [ INTEGER ]
discount [ REAL ]
titles :
title_id [ TEXT ] primary_key
title [ TEXT ]
type [ TEXT ]
pub_id [ TEXT ] titles.pub_id = publishers.pub_id
price [ REAL ]
advance [ REAL ]
royalty [ INTEGER ]
ytd_sales [ INTEGER ]
notes [ TEXT ]
pubdate [ DATETIME ]
roysched :
title_id [ TEXT ] roysched.title_id = titles.title_id
lorange [ INTEGER ]
hirange [ INTEGER ]
royalty [ INTEGER ]
sales :
stor_id [ TEXT ] sales.stor_id = stores.stor_id
ord_num [ TEXT ]
ord_date [ DATETIME ]
qty [ INTEGER ]
payterms [ TEXT ]
title_id [ TEXT ] sales.title_id = titles.title_id
titleauthor :
au_id [ TEXT ] titleauthor.au_id = authors.au_id
title_id [ TEXT ] titleauthor.title_id = titles.title_id
au_ord [ INTEGER ]
royaltyper [ INTEGER ]
Please write me a SQL statement that answers the following question: Which one is the cheapest business book? [/INST] | SELECT title FROM titles WHERE type = 'business' ORDER BY price LIMIT 1; |
[INST] Here is a database schema:
authors :
au_id [ TEXT ] primary_key
au_lname [ TEXT ]
au_fname [ TEXT ]
phone [ TEXT ]
address [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zip [ TEXT ]
contract [ TEXT ]
jobs :
job_id [ INTEGER ] primary_key
job_desc [ TEXT ]
min_lvl [ INTEGER ]
max_lvl [ INTEGER ]
publishers :
pub_id [ TEXT ] primary_key
pub_name [ TEXT ]
city [ TEXT ]
state [ TEXT ]
country [ TEXT ]
employee :
emp_id [ TEXT ] primary_key
fname [ TEXT ]
minit [ TEXT ]
lname [ TEXT ]
job_id [ INTEGER ] employee.job_id = jobs.job_id
job_lvl [ INTEGER ]
pub_id [ TEXT ] employee.pub_id = publishers.pub_id
hire_date [ DATETIME ]
pub_info :
pub_id [ TEXT ] primary_key pub_info.pub_id = publishers.pub_id
logo [ BLOB ]
pr_info [ TEXT ]
stores :
stor_id [ TEXT ] primary_key
stor_name [ TEXT ]
stor_address [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zip [ TEXT ]
discounts :
discounttype [ TEXT ]
stor_id [ TEXT ] discounts.stor_id = stores.stor_id
lowqty [ INTEGER ]
highqty [ INTEGER ]
discount [ REAL ]
titles :
title_id [ TEXT ] primary_key
title [ TEXT ]
type [ TEXT ]
pub_id [ TEXT ] titles.pub_id = publishers.pub_id
price [ REAL ]
advance [ REAL ]
royalty [ INTEGER ]
ytd_sales [ INTEGER ]
notes [ TEXT ]
pubdate [ DATETIME ]
roysched :
title_id [ TEXT ] roysched.title_id = titles.title_id
lorange [ INTEGER ]
hirange [ INTEGER ]
royalty [ INTEGER ]
sales :
stor_id [ TEXT ] sales.stor_id = stores.stor_id
ord_num [ TEXT ]
ord_date [ DATETIME ]
qty [ INTEGER ]
payterms [ TEXT ]
title_id [ TEXT ] sales.title_id = titles.title_id
titleauthor :
au_id [ TEXT ] titleauthor.au_id = authors.au_id
title_id [ TEXT ] titleauthor.title_id = titles.title_id
au_ord [ INTEGER ]
royaltyper [ INTEGER ]
Please write me a SQL statement that answers the following question: Which type of book had the most pre-paid amount? [/INST] | SELECT type FROM titles ORDER BY advance DESC LIMIT 1; |
[INST] Here is a database schema:
authors :
au_id [ TEXT ] primary_key
au_lname [ TEXT ]
au_fname [ TEXT ]
phone [ TEXT ]
address [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zip [ TEXT ]
contract [ TEXT ]
jobs :
job_id [ INTEGER ] primary_key
job_desc [ TEXT ]
min_lvl [ INTEGER ]
max_lvl [ INTEGER ]
publishers :
pub_id [ TEXT ] primary_key
pub_name [ TEXT ]
city [ TEXT ]
state [ TEXT ]
country [ TEXT ]
employee :
emp_id [ TEXT ] primary_key
fname [ TEXT ]
minit [ TEXT ]
lname [ TEXT ]
job_id [ INTEGER ] employee.job_id = jobs.job_id
job_lvl [ INTEGER ]
pub_id [ TEXT ] employee.pub_id = publishers.pub_id
hire_date [ DATETIME ]
pub_info :
pub_id [ TEXT ] primary_key pub_info.pub_id = publishers.pub_id
logo [ BLOB ]
pr_info [ TEXT ]
stores :
stor_id [ TEXT ] primary_key
stor_name [ TEXT ]
stor_address [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zip [ TEXT ]
discounts :
discounttype [ TEXT ]
stor_id [ TEXT ] discounts.stor_id = stores.stor_id
lowqty [ INTEGER ]
highqty [ INTEGER ]
discount [ REAL ]
titles :
title_id [ TEXT ] primary_key
title [ TEXT ]
type [ TEXT ]
pub_id [ TEXT ] titles.pub_id = publishers.pub_id
price [ REAL ]
advance [ REAL ]
royalty [ INTEGER ]
ytd_sales [ INTEGER ]
notes [ TEXT ]
pubdate [ DATETIME ]
roysched :
title_id [ TEXT ] roysched.title_id = titles.title_id
lorange [ INTEGER ]
hirange [ INTEGER ]
royalty [ INTEGER ]
sales :
stor_id [ TEXT ] sales.stor_id = stores.stor_id
ord_num [ TEXT ]
ord_date [ DATETIME ]
qty [ INTEGER ]
payterms [ TEXT ]
title_id [ TEXT ] sales.title_id = titles.title_id
titleauthor :
au_id [ TEXT ] titleauthor.au_id = authors.au_id
title_id [ TEXT ] titleauthor.title_id = titles.title_id
au_ord [ INTEGER ]
royaltyper [ INTEGER ]
Please write me a SQL statement that answers the following question: What's the royalty for the bestseller book? [/INST] | SELECT royalty FROM titles ORDER BY ytd_sales DESC LIMIT 1; |
[INST] Here is a database schema:
authors :
au_id [ TEXT ] primary_key
au_lname [ TEXT ]
au_fname [ TEXT ]
phone [ TEXT ]
address [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zip [ TEXT ]
contract [ TEXT ]
jobs :
job_id [ INTEGER ] primary_key
job_desc [ TEXT ]
min_lvl [ INTEGER ]
max_lvl [ INTEGER ]
publishers :
pub_id [ TEXT ] primary_key
pub_name [ TEXT ]
city [ TEXT ]
state [ TEXT ]
country [ TEXT ]
employee :
emp_id [ TEXT ] primary_key
fname [ TEXT ]
minit [ TEXT ]
lname [ TEXT ]
job_id [ INTEGER ] employee.job_id = jobs.job_id
job_lvl [ INTEGER ]
pub_id [ TEXT ] employee.pub_id = publishers.pub_id
hire_date [ DATETIME ]
pub_info :
pub_id [ TEXT ] primary_key pub_info.pub_id = publishers.pub_id
logo [ BLOB ]
pr_info [ TEXT ]
stores :
stor_id [ TEXT ] primary_key
stor_name [ TEXT ]
stor_address [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zip [ TEXT ]
discounts :
discounttype [ TEXT ]
stor_id [ TEXT ] discounts.stor_id = stores.stor_id
lowqty [ INTEGER ]
highqty [ INTEGER ]
discount [ REAL ]
titles :
title_id [ TEXT ] primary_key
title [ TEXT ]
type [ TEXT ]
pub_id [ TEXT ] titles.pub_id = publishers.pub_id
price [ REAL ]
advance [ REAL ]
royalty [ INTEGER ]
ytd_sales [ INTEGER ]
notes [ TEXT ]
pubdate [ DATETIME ]
roysched :
title_id [ TEXT ] roysched.title_id = titles.title_id
lorange [ INTEGER ]
hirange [ INTEGER ]
royalty [ INTEGER ]
sales :
stor_id [ TEXT ] sales.stor_id = stores.stor_id
ord_num [ TEXT ]
ord_date [ DATETIME ]
qty [ INTEGER ]
payterms [ TEXT ]
title_id [ TEXT ] sales.title_id = titles.title_id
titleauthor :
au_id [ TEXT ] titleauthor.au_id = authors.au_id
title_id [ TEXT ] titleauthor.title_id = titles.title_id
au_ord [ INTEGER ]
royaltyper [ INTEGER ]
Please write me a SQL statement that answers the following question: Which job level is O'Rourke at? [/INST] | SELECT job_lvl FROM employee WHERE lname = 'O''Rourke'; |
[INST] Here is a database schema:
authors :
au_id [ TEXT ] primary_key
au_lname [ TEXT ]
au_fname [ TEXT ]
phone [ TEXT ]
address [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zip [ TEXT ]
contract [ TEXT ]
jobs :
job_id [ INTEGER ] primary_key
job_desc [ TEXT ]
min_lvl [ INTEGER ]
max_lvl [ INTEGER ]
publishers :
pub_id [ TEXT ] primary_key
pub_name [ TEXT ]
city [ TEXT ]
state [ TEXT ]
country [ TEXT ]
employee :
emp_id [ TEXT ] primary_key
fname [ TEXT ]
minit [ TEXT ]
lname [ TEXT ]
job_id [ INTEGER ] employee.job_id = jobs.job_id
job_lvl [ INTEGER ]
pub_id [ TEXT ] employee.pub_id = publishers.pub_id
hire_date [ DATETIME ]
pub_info :
pub_id [ TEXT ] primary_key pub_info.pub_id = publishers.pub_id
logo [ BLOB ]
pr_info [ TEXT ]
stores :
stor_id [ TEXT ] primary_key
stor_name [ TEXT ]
stor_address [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zip [ TEXT ]
discounts :
discounttype [ TEXT ]
stor_id [ TEXT ] discounts.stor_id = stores.stor_id
lowqty [ INTEGER ]
highqty [ INTEGER ]
discount [ REAL ]
titles :
title_id [ TEXT ] primary_key
title [ TEXT ]
type [ TEXT ]
pub_id [ TEXT ] titles.pub_id = publishers.pub_id
price [ REAL ]
advance [ REAL ]
royalty [ INTEGER ]
ytd_sales [ INTEGER ]
notes [ TEXT ]
pubdate [ DATETIME ]
roysched :
title_id [ TEXT ] roysched.title_id = titles.title_id
lorange [ INTEGER ]
hirange [ INTEGER ]
royalty [ INTEGER ]
sales :
stor_id [ TEXT ] sales.stor_id = stores.stor_id
ord_num [ TEXT ]
ord_date [ DATETIME ]
qty [ INTEGER ]
payterms [ TEXT ]
title_id [ TEXT ] sales.title_id = titles.title_id
titleauthor :
au_id [ TEXT ] titleauthor.au_id = authors.au_id
title_id [ TEXT ] titleauthor.title_id = titles.title_id
au_ord [ INTEGER ]
royaltyper [ INTEGER ]
Please write me a SQL statement that answers the following question: Show me the employ id of the highest employee who doesn't have a middle name. [/INST] | SELECT emp_id FROM employee WHERE minit = '' ORDER BY job_lvl DESC LIMIT 1; |
[INST] Here is a database schema:
authors :
au_id [ TEXT ] primary_key
au_lname [ TEXT ]
au_fname [ TEXT ]
phone [ TEXT ]
address [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zip [ TEXT ]
contract [ TEXT ]
jobs :
job_id [ INTEGER ] primary_key
job_desc [ TEXT ]
min_lvl [ INTEGER ]
max_lvl [ INTEGER ]
publishers :
pub_id [ TEXT ] primary_key
pub_name [ TEXT ]
city [ TEXT ]
state [ TEXT ]
country [ TEXT ]
employee :
emp_id [ TEXT ] primary_key
fname [ TEXT ]
minit [ TEXT ]
lname [ TEXT ]
job_id [ INTEGER ] employee.job_id = jobs.job_id
job_lvl [ INTEGER ]
pub_id [ TEXT ] employee.pub_id = publishers.pub_id
hire_date [ DATETIME ]
pub_info :
pub_id [ TEXT ] primary_key pub_info.pub_id = publishers.pub_id
logo [ BLOB ]
pr_info [ TEXT ]
stores :
stor_id [ TEXT ] primary_key
stor_name [ TEXT ]
stor_address [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zip [ TEXT ]
discounts :
discounttype [ TEXT ]
stor_id [ TEXT ] discounts.stor_id = stores.stor_id
lowqty [ INTEGER ]
highqty [ INTEGER ]
discount [ REAL ]
titles :
title_id [ TEXT ] primary_key
title [ TEXT ]
type [ TEXT ]
pub_id [ TEXT ] titles.pub_id = publishers.pub_id
price [ REAL ]
advance [ REAL ]
royalty [ INTEGER ]
ytd_sales [ INTEGER ]
notes [ TEXT ]
pubdate [ DATETIME ]
roysched :
title_id [ TEXT ] roysched.title_id = titles.title_id
lorange [ INTEGER ]
hirange [ INTEGER ]
royalty [ INTEGER ]
sales :
stor_id [ TEXT ] sales.stor_id = stores.stor_id
ord_num [ TEXT ]
ord_date [ DATETIME ]
qty [ INTEGER ]
payterms [ TEXT ]
title_id [ TEXT ] sales.title_id = titles.title_id
titleauthor :
au_id [ TEXT ] titleauthor.au_id = authors.au_id
title_id [ TEXT ] titleauthor.title_id = titles.title_id
au_ord [ INTEGER ]
royaltyper [ INTEGER ]
Please write me a SQL statement that answers the following question: Is the author of "Sushi, Anyone?" on the contract? [/INST] | SELECT T1.contract FROM authors AS T1 INNER JOIN titleauthor AS T2 ON T1.au_id = T2.au_id INNER JOIN titles AS T3 ON T2.title_id = T3.title_id WHERE T3.title = 'Sushi, Anyone?'; |
[INST] Here is a database schema:
authors :
au_id [ TEXT ] primary_key
au_lname [ TEXT ]
au_fname [ TEXT ]
phone [ TEXT ]
address [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zip [ TEXT ]
contract [ TEXT ]
jobs :
job_id [ INTEGER ] primary_key
job_desc [ TEXT ]
min_lvl [ INTEGER ]
max_lvl [ INTEGER ]
publishers :
pub_id [ TEXT ] primary_key
pub_name [ TEXT ]
city [ TEXT ]
state [ TEXT ]
country [ TEXT ]
employee :
emp_id [ TEXT ] primary_key
fname [ TEXT ]
minit [ TEXT ]
lname [ TEXT ]
job_id [ INTEGER ] employee.job_id = jobs.job_id
job_lvl [ INTEGER ]
pub_id [ TEXT ] employee.pub_id = publishers.pub_id
hire_date [ DATETIME ]
pub_info :
pub_id [ TEXT ] primary_key pub_info.pub_id = publishers.pub_id
logo [ BLOB ]
pr_info [ TEXT ]
stores :
stor_id [ TEXT ] primary_key
stor_name [ TEXT ]
stor_address [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zip [ TEXT ]
discounts :
discounttype [ TEXT ]
stor_id [ TEXT ] discounts.stor_id = stores.stor_id
lowqty [ INTEGER ]
highqty [ INTEGER ]
discount [ REAL ]
titles :
title_id [ TEXT ] primary_key
title [ TEXT ]
type [ TEXT ]
pub_id [ TEXT ] titles.pub_id = publishers.pub_id
price [ REAL ]
advance [ REAL ]
royalty [ INTEGER ]
ytd_sales [ INTEGER ]
notes [ TEXT ]
pubdate [ DATETIME ]
roysched :
title_id [ TEXT ] roysched.title_id = titles.title_id
lorange [ INTEGER ]
hirange [ INTEGER ]
royalty [ INTEGER ]
sales :
stor_id [ TEXT ] sales.stor_id = stores.stor_id
ord_num [ TEXT ]
ord_date [ DATETIME ]
qty [ INTEGER ]
payterms [ TEXT ]
title_id [ TEXT ] sales.title_id = titles.title_id
titleauthor :
au_id [ TEXT ] titleauthor.au_id = authors.au_id
title_id [ TEXT ] titleauthor.title_id = titles.title_id
au_ord [ INTEGER ]
royaltyper [ INTEGER ]
Please write me a SQL statement that answers the following question: Which publisher had the highest job level? Give his/her full name. [/INST] | SELECT T1.fname, T1.minit, T1.lname FROM employee AS T1 INNER JOIN jobs AS T2 ON T1.job_id = T2.job_id ORDER BY T1.job_lvl DESC LIMIT 1; |
[INST] Here is a database schema:
authors :
au_id [ TEXT ] primary_key
au_lname [ TEXT ]
au_fname [ TEXT ]
phone [ TEXT ]
address [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zip [ TEXT ]
contract [ TEXT ]
jobs :
job_id [ INTEGER ] primary_key
job_desc [ TEXT ]
min_lvl [ INTEGER ]
max_lvl [ INTEGER ]
publishers :
pub_id [ TEXT ] primary_key
pub_name [ TEXT ]
city [ TEXT ]
state [ TEXT ]
country [ TEXT ]
employee :
emp_id [ TEXT ] primary_key
fname [ TEXT ]
minit [ TEXT ]
lname [ TEXT ]
job_id [ INTEGER ] employee.job_id = jobs.job_id
job_lvl [ INTEGER ]
pub_id [ TEXT ] employee.pub_id = publishers.pub_id
hire_date [ DATETIME ]
pub_info :
pub_id [ TEXT ] primary_key pub_info.pub_id = publishers.pub_id
logo [ BLOB ]
pr_info [ TEXT ]
stores :
stor_id [ TEXT ] primary_key
stor_name [ TEXT ]
stor_address [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zip [ TEXT ]
discounts :
discounttype [ TEXT ]
stor_id [ TEXT ] discounts.stor_id = stores.stor_id
lowqty [ INTEGER ]
highqty [ INTEGER ]
discount [ REAL ]
titles :
title_id [ TEXT ] primary_key
title [ TEXT ]
type [ TEXT ]
pub_id [ TEXT ] titles.pub_id = publishers.pub_id
price [ REAL ]
advance [ REAL ]
royalty [ INTEGER ]
ytd_sales [ INTEGER ]
notes [ TEXT ]
pubdate [ DATETIME ]
roysched :
title_id [ TEXT ] roysched.title_id = titles.title_id
lorange [ INTEGER ]
hirange [ INTEGER ]
royalty [ INTEGER ]
sales :
stor_id [ TEXT ] sales.stor_id = stores.stor_id
ord_num [ TEXT ]
ord_date [ DATETIME ]
qty [ INTEGER ]
payterms [ TEXT ]
title_id [ TEXT ] sales.title_id = titles.title_id
titleauthor :
au_id [ TEXT ] titleauthor.au_id = authors.au_id
title_id [ TEXT ] titleauthor.title_id = titles.title_id
au_ord [ INTEGER ]
royaltyper [ INTEGER ]
Please write me a SQL statement that answers the following question: What's Pedro S Afonso's job title? [/INST] | SELECT T2.job_desc FROM employee AS T1 INNER JOIN jobs AS T2 ON T1.job_id = T2.job_id WHERE T1.fname = 'Pedro' AND T1.minit = 'S' AND T1.lname = 'Afonso'; |
[INST] Here is a database schema:
authors :
au_id [ TEXT ] primary_key
au_lname [ TEXT ]
au_fname [ TEXT ]
phone [ TEXT ]
address [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zip [ TEXT ]
contract [ TEXT ]
jobs :
job_id [ INTEGER ] primary_key
job_desc [ TEXT ]
min_lvl [ INTEGER ]
max_lvl [ INTEGER ]
publishers :
pub_id [ TEXT ] primary_key
pub_name [ TEXT ]
city [ TEXT ]
state [ TEXT ]
country [ TEXT ]
employee :
emp_id [ TEXT ] primary_key
fname [ TEXT ]
minit [ TEXT ]
lname [ TEXT ]
job_id [ INTEGER ] employee.job_id = jobs.job_id
job_lvl [ INTEGER ]
pub_id [ TEXT ] employee.pub_id = publishers.pub_id
hire_date [ DATETIME ]
pub_info :
pub_id [ TEXT ] primary_key pub_info.pub_id = publishers.pub_id
logo [ BLOB ]
pr_info [ TEXT ]
stores :
stor_id [ TEXT ] primary_key
stor_name [ TEXT ]
stor_address [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zip [ TEXT ]
discounts :
discounttype [ TEXT ]
stor_id [ TEXT ] discounts.stor_id = stores.stor_id
lowqty [ INTEGER ]
highqty [ INTEGER ]
discount [ REAL ]
titles :
title_id [ TEXT ] primary_key
title [ TEXT ]
type [ TEXT ]
pub_id [ TEXT ] titles.pub_id = publishers.pub_id
price [ REAL ]
advance [ REAL ]
royalty [ INTEGER ]
ytd_sales [ INTEGER ]
notes [ TEXT ]
pubdate [ DATETIME ]
roysched :
title_id [ TEXT ] roysched.title_id = titles.title_id
lorange [ INTEGER ]
hirange [ INTEGER ]
royalty [ INTEGER ]
sales :
stor_id [ TEXT ] sales.stor_id = stores.stor_id
ord_num [ TEXT ]
ord_date [ DATETIME ]
qty [ INTEGER ]
payterms [ TEXT ]
title_id [ TEXT ] sales.title_id = titles.title_id
titleauthor :
au_id [ TEXT ] titleauthor.au_id = authors.au_id
title_id [ TEXT ] titleauthor.title_id = titles.title_id
au_ord [ INTEGER ]
royaltyper [ INTEGER ]
Please write me a SQL statement that answers the following question: How many levels are there left for Diego W Roel to reach if he/she could go to the max level for his/her position? [/INST] | SELECT T2.max_lvl - T1.job_lvl FROM employee AS T1 INNER JOIN jobs AS T2 ON T1.job_id = T2.job_id WHERE T1.fname = 'Diego' AND T1.minit = 'W' AND T1.lname = 'Roel'; |
[INST] Here is a database schema:
authors :
au_id [ TEXT ] primary_key
au_lname [ TEXT ]
au_fname [ TEXT ]
phone [ TEXT ]
address [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zip [ TEXT ]
contract [ TEXT ]
jobs :
job_id [ INTEGER ] primary_key
job_desc [ TEXT ]
min_lvl [ INTEGER ]
max_lvl [ INTEGER ]
publishers :
pub_id [ TEXT ] primary_key
pub_name [ TEXT ]
city [ TEXT ]
state [ TEXT ]
country [ TEXT ]
employee :
emp_id [ TEXT ] primary_key
fname [ TEXT ]
minit [ TEXT ]
lname [ TEXT ]
job_id [ INTEGER ] employee.job_id = jobs.job_id
job_lvl [ INTEGER ]
pub_id [ TEXT ] employee.pub_id = publishers.pub_id
hire_date [ DATETIME ]
pub_info :
pub_id [ TEXT ] primary_key pub_info.pub_id = publishers.pub_id
logo [ BLOB ]
pr_info [ TEXT ]
stores :
stor_id [ TEXT ] primary_key
stor_name [ TEXT ]
stor_address [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zip [ TEXT ]
discounts :
discounttype [ TEXT ]
stor_id [ TEXT ] discounts.stor_id = stores.stor_id
lowqty [ INTEGER ]
highqty [ INTEGER ]
discount [ REAL ]
titles :
title_id [ TEXT ] primary_key
title [ TEXT ]
type [ TEXT ]
pub_id [ TEXT ] titles.pub_id = publishers.pub_id
price [ REAL ]
advance [ REAL ]
royalty [ INTEGER ]
ytd_sales [ INTEGER ]
notes [ TEXT ]
pubdate [ DATETIME ]
roysched :
title_id [ TEXT ] roysched.title_id = titles.title_id
lorange [ INTEGER ]
hirange [ INTEGER ]
royalty [ INTEGER ]
sales :
stor_id [ TEXT ] sales.stor_id = stores.stor_id
ord_num [ TEXT ]
ord_date [ DATETIME ]
qty [ INTEGER ]
payterms [ TEXT ]
title_id [ TEXT ] sales.title_id = titles.title_id
titleauthor :
au_id [ TEXT ] titleauthor.au_id = authors.au_id
title_id [ TEXT ] titleauthor.title_id = titles.title_id
au_ord [ INTEGER ]
royaltyper [ INTEGER ]
Please write me a SQL statement that answers the following question: What's on the notes for the order happened on 1994/9/14? [/INST] | SELECT T1.notes FROM titles AS T1 INNER JOIN sales AS T2 ON T1.title_id = T2.title_id WHERE STRFTIME('%Y-%m-%d', T2.ord_date) = '1994-09-14'; |
[INST] Here is a database schema:
authors :
au_id [ TEXT ] primary_key
au_lname [ TEXT ]
au_fname [ TEXT ]
phone [ TEXT ]
address [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zip [ TEXT ]
contract [ TEXT ]
jobs :
job_id [ INTEGER ] primary_key
job_desc [ TEXT ]
min_lvl [ INTEGER ]
max_lvl [ INTEGER ]
publishers :
pub_id [ TEXT ] primary_key
pub_name [ TEXT ]
city [ TEXT ]
state [ TEXT ]
country [ TEXT ]
employee :
emp_id [ TEXT ] primary_key
fname [ TEXT ]
minit [ TEXT ]
lname [ TEXT ]
job_id [ INTEGER ] employee.job_id = jobs.job_id
job_lvl [ INTEGER ]
pub_id [ TEXT ] employee.pub_id = publishers.pub_id
hire_date [ DATETIME ]
pub_info :
pub_id [ TEXT ] primary_key pub_info.pub_id = publishers.pub_id
logo [ BLOB ]
pr_info [ TEXT ]
stores :
stor_id [ TEXT ] primary_key
stor_name [ TEXT ]
stor_address [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zip [ TEXT ]
discounts :
discounttype [ TEXT ]
stor_id [ TEXT ] discounts.stor_id = stores.stor_id
lowqty [ INTEGER ]
highqty [ INTEGER ]
discount [ REAL ]
titles :
title_id [ TEXT ] primary_key
title [ TEXT ]
type [ TEXT ]
pub_id [ TEXT ] titles.pub_id = publishers.pub_id
price [ REAL ]
advance [ REAL ]
royalty [ INTEGER ]
ytd_sales [ INTEGER ]
notes [ TEXT ]
pubdate [ DATETIME ]
roysched :
title_id [ TEXT ] roysched.title_id = titles.title_id
lorange [ INTEGER ]
hirange [ INTEGER ]
royalty [ INTEGER ]
sales :
stor_id [ TEXT ] sales.stor_id = stores.stor_id
ord_num [ TEXT ]
ord_date [ DATETIME ]
qty [ INTEGER ]
payterms [ TEXT ]
title_id [ TEXT ] sales.title_id = titles.title_id
titleauthor :
au_id [ TEXT ] titleauthor.au_id = authors.au_id
title_id [ TEXT ] titleauthor.title_id = titles.title_id
au_ord [ INTEGER ]
royaltyper [ INTEGER ]
Please write me a SQL statement that answers the following question: List the type of the book for the order which was sold on 1993/5/29. [/INST] | SELECT DISTINCT T1.type FROM titles AS T1 INNER JOIN sales AS T2 ON T1.title_id = T2.title_id WHERE STRFTIME('%Y-%m-%d', T2.ord_date) = '1993-05-29'; |
[INST] Here is a database schema:
authors :
au_id [ TEXT ] primary_key
au_lname [ TEXT ]
au_fname [ TEXT ]
phone [ TEXT ]
address [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zip [ TEXT ]
contract [ TEXT ]
jobs :
job_id [ INTEGER ] primary_key
job_desc [ TEXT ]
min_lvl [ INTEGER ]
max_lvl [ INTEGER ]
publishers :
pub_id [ TEXT ] primary_key
pub_name [ TEXT ]
city [ TEXT ]
state [ TEXT ]
country [ TEXT ]
employee :
emp_id [ TEXT ] primary_key
fname [ TEXT ]
minit [ TEXT ]
lname [ TEXT ]
job_id [ INTEGER ] employee.job_id = jobs.job_id
job_lvl [ INTEGER ]
pub_id [ TEXT ] employee.pub_id = publishers.pub_id
hire_date [ DATETIME ]
pub_info :
pub_id [ TEXT ] primary_key pub_info.pub_id = publishers.pub_id
logo [ BLOB ]
pr_info [ TEXT ]
stores :
stor_id [ TEXT ] primary_key
stor_name [ TEXT ]
stor_address [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zip [ TEXT ]
discounts :
discounttype [ TEXT ]
stor_id [ TEXT ] discounts.stor_id = stores.stor_id
lowqty [ INTEGER ]
highqty [ INTEGER ]
discount [ REAL ]
titles :
title_id [ TEXT ] primary_key
title [ TEXT ]
type [ TEXT ]
pub_id [ TEXT ] titles.pub_id = publishers.pub_id
price [ REAL ]
advance [ REAL ]
royalty [ INTEGER ]
ytd_sales [ INTEGER ]
notes [ TEXT ]
pubdate [ DATETIME ]
roysched :
title_id [ TEXT ] roysched.title_id = titles.title_id
lorange [ INTEGER ]
hirange [ INTEGER ]
royalty [ INTEGER ]
sales :
stor_id [ TEXT ] sales.stor_id = stores.stor_id
ord_num [ TEXT ]
ord_date [ DATETIME ]
qty [ INTEGER ]
payterms [ TEXT ]
title_id [ TEXT ] sales.title_id = titles.title_id
titleauthor :
au_id [ TEXT ] titleauthor.au_id = authors.au_id
title_id [ TEXT ] titleauthor.title_id = titles.title_id
au_ord [ INTEGER ]
royaltyper [ INTEGER ]
Please write me a SQL statement that answers the following question: Tell me about the information of the French publisher. [/INST] | SELECT T1.pr_info FROM pub_info AS T1 INNER JOIN publishers AS T2 ON T1.pub_id = T2.pub_id WHERE T2.country = 'France'; |
[INST] Here is a database schema:
authors :
au_id [ TEXT ] primary_key
au_lname [ TEXT ]
au_fname [ TEXT ]
phone [ TEXT ]
address [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zip [ TEXT ]
contract [ TEXT ]
jobs :
job_id [ INTEGER ] primary_key
job_desc [ TEXT ]
min_lvl [ INTEGER ]
max_lvl [ INTEGER ]
publishers :
pub_id [ TEXT ] primary_key
pub_name [ TEXT ]
city [ TEXT ]
state [ TEXT ]
country [ TEXT ]
employee :
emp_id [ TEXT ] primary_key
fname [ TEXT ]
minit [ TEXT ]
lname [ TEXT ]
job_id [ INTEGER ] employee.job_id = jobs.job_id
job_lvl [ INTEGER ]
pub_id [ TEXT ] employee.pub_id = publishers.pub_id
hire_date [ DATETIME ]
pub_info :
pub_id [ TEXT ] primary_key pub_info.pub_id = publishers.pub_id
logo [ BLOB ]
pr_info [ TEXT ]
stores :
stor_id [ TEXT ] primary_key
stor_name [ TEXT ]
stor_address [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zip [ TEXT ]
discounts :
discounttype [ TEXT ]
stor_id [ TEXT ] discounts.stor_id = stores.stor_id
lowqty [ INTEGER ]
highqty [ INTEGER ]
discount [ REAL ]
titles :
title_id [ TEXT ] primary_key
title [ TEXT ]
type [ TEXT ]
pub_id [ TEXT ] titles.pub_id = publishers.pub_id
price [ REAL ]
advance [ REAL ]
royalty [ INTEGER ]
ytd_sales [ INTEGER ]
notes [ TEXT ]
pubdate [ DATETIME ]
roysched :
title_id [ TEXT ] roysched.title_id = titles.title_id
lorange [ INTEGER ]
hirange [ INTEGER ]
royalty [ INTEGER ]
sales :
stor_id [ TEXT ] sales.stor_id = stores.stor_id
ord_num [ TEXT ]
ord_date [ DATETIME ]
qty [ INTEGER ]
payterms [ TEXT ]
title_id [ TEXT ] sales.title_id = titles.title_id
titleauthor :
au_id [ TEXT ] titleauthor.au_id = authors.au_id
title_id [ TEXT ] titleauthor.title_id = titles.title_id
au_ord [ INTEGER ]
royaltyper [ INTEGER ]
Please write me a SQL statement that answers the following question: What's the publisher of the book "Silicon Valley Gastronomic Treats"? Give the publisher's name. [/INST] | SELECT T2.pub_name FROM titles AS T1 INNER JOIN publishers AS T2 ON T1.pub_id = T2.pub_id WHERE T1.title = 'Silicon Valley Gastronomic Treats'; |
[INST] Here is a database schema:
authors :
au_id [ TEXT ] primary_key
au_lname [ TEXT ]
au_fname [ TEXT ]
phone [ TEXT ]
address [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zip [ TEXT ]
contract [ TEXT ]
jobs :
job_id [ INTEGER ] primary_key
job_desc [ TEXT ]
min_lvl [ INTEGER ]
max_lvl [ INTEGER ]
publishers :
pub_id [ TEXT ] primary_key
pub_name [ TEXT ]
city [ TEXT ]
state [ TEXT ]
country [ TEXT ]
employee :
emp_id [ TEXT ] primary_key
fname [ TEXT ]
minit [ TEXT ]
lname [ TEXT ]
job_id [ INTEGER ] employee.job_id = jobs.job_id
job_lvl [ INTEGER ]
pub_id [ TEXT ] employee.pub_id = publishers.pub_id
hire_date [ DATETIME ]
pub_info :
pub_id [ TEXT ] primary_key pub_info.pub_id = publishers.pub_id
logo [ BLOB ]
pr_info [ TEXT ]
stores :
stor_id [ TEXT ] primary_key
stor_name [ TEXT ]
stor_address [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zip [ TEXT ]
discounts :
discounttype [ TEXT ]
stor_id [ TEXT ] discounts.stor_id = stores.stor_id
lowqty [ INTEGER ]
highqty [ INTEGER ]
discount [ REAL ]
titles :
title_id [ TEXT ] primary_key
title [ TEXT ]
type [ TEXT ]
pub_id [ TEXT ] titles.pub_id = publishers.pub_id
price [ REAL ]
advance [ REAL ]
royalty [ INTEGER ]
ytd_sales [ INTEGER ]
notes [ TEXT ]
pubdate [ DATETIME ]
roysched :
title_id [ TEXT ] roysched.title_id = titles.title_id
lorange [ INTEGER ]
hirange [ INTEGER ]
royalty [ INTEGER ]
sales :
stor_id [ TEXT ] sales.stor_id = stores.stor_id
ord_num [ TEXT ]
ord_date [ DATETIME ]
qty [ INTEGER ]
payterms [ TEXT ]
title_id [ TEXT ] sales.title_id = titles.title_id
titleauthor :
au_id [ TEXT ] titleauthor.au_id = authors.au_id
title_id [ TEXT ] titleauthor.title_id = titles.title_id
au_ord [ INTEGER ]
royaltyper [ INTEGER ]
Please write me a SQL statement that answers the following question: Which city did Victoria P Ashworth work in? [/INST] | SELECT T2.city FROM employee AS T1 INNER JOIN publishers AS T2 ON T1.pub_id = T2.pub_id WHERE T1.fname = 'Victoria' AND T1.minit = 'P' AND T1.lname = 'Ashworth'; |
[INST] Here is a database schema:
authors :
au_id [ TEXT ] primary_key
au_lname [ TEXT ]
au_fname [ TEXT ]
phone [ TEXT ]
address [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zip [ TEXT ]
contract [ TEXT ]
jobs :
job_id [ INTEGER ] primary_key
job_desc [ TEXT ]
min_lvl [ INTEGER ]
max_lvl [ INTEGER ]
publishers :
pub_id [ TEXT ] primary_key
pub_name [ TEXT ]
city [ TEXT ]
state [ TEXT ]
country [ TEXT ]
employee :
emp_id [ TEXT ] primary_key
fname [ TEXT ]
minit [ TEXT ]
lname [ TEXT ]
job_id [ INTEGER ] employee.job_id = jobs.job_id
job_lvl [ INTEGER ]
pub_id [ TEXT ] employee.pub_id = publishers.pub_id
hire_date [ DATETIME ]
pub_info :
pub_id [ TEXT ] primary_key pub_info.pub_id = publishers.pub_id
logo [ BLOB ]
pr_info [ TEXT ]
stores :
stor_id [ TEXT ] primary_key
stor_name [ TEXT ]
stor_address [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zip [ TEXT ]
discounts :
discounttype [ TEXT ]
stor_id [ TEXT ] discounts.stor_id = stores.stor_id
lowqty [ INTEGER ]
highqty [ INTEGER ]
discount [ REAL ]
titles :
title_id [ TEXT ] primary_key
title [ TEXT ]
type [ TEXT ]
pub_id [ TEXT ] titles.pub_id = publishers.pub_id
price [ REAL ]
advance [ REAL ]
royalty [ INTEGER ]
ytd_sales [ INTEGER ]
notes [ TEXT ]
pubdate [ DATETIME ]
roysched :
title_id [ TEXT ] roysched.title_id = titles.title_id
lorange [ INTEGER ]
hirange [ INTEGER ]
royalty [ INTEGER ]
sales :
stor_id [ TEXT ] sales.stor_id = stores.stor_id
ord_num [ TEXT ]
ord_date [ DATETIME ]
qty [ INTEGER ]
payterms [ TEXT ]
title_id [ TEXT ] sales.title_id = titles.title_id
titleauthor :
au_id [ TEXT ] titleauthor.au_id = authors.au_id
title_id [ TEXT ] titleauthor.title_id = titles.title_id
au_ord [ INTEGER ]
royaltyper [ INTEGER ]
Please write me a SQL statement that answers the following question: How many sales did the store in Remulade make? [/INST] | SELECT COUNT(T1.ord_num) FROM sales AS T1 INNER JOIN stores AS T2 ON T1.stor_id = T2.stor_id WHERE T2.city = 'Remulade'; |
[INST] Here is a database schema:
authors :
au_id [ TEXT ] primary_key
au_lname [ TEXT ]
au_fname [ TEXT ]
phone [ TEXT ]
address [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zip [ TEXT ]
contract [ TEXT ]
jobs :
job_id [ INTEGER ] primary_key
job_desc [ TEXT ]
min_lvl [ INTEGER ]
max_lvl [ INTEGER ]
publishers :
pub_id [ TEXT ] primary_key
pub_name [ TEXT ]
city [ TEXT ]
state [ TEXT ]
country [ TEXT ]
employee :
emp_id [ TEXT ] primary_key
fname [ TEXT ]
minit [ TEXT ]
lname [ TEXT ]
job_id [ INTEGER ] employee.job_id = jobs.job_id
job_lvl [ INTEGER ]
pub_id [ TEXT ] employee.pub_id = publishers.pub_id
hire_date [ DATETIME ]
pub_info :
pub_id [ TEXT ] primary_key pub_info.pub_id = publishers.pub_id
logo [ BLOB ]
pr_info [ TEXT ]
stores :
stor_id [ TEXT ] primary_key
stor_name [ TEXT ]
stor_address [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zip [ TEXT ]
discounts :
discounttype [ TEXT ]
stor_id [ TEXT ] discounts.stor_id = stores.stor_id
lowqty [ INTEGER ]
highqty [ INTEGER ]
discount [ REAL ]
titles :
title_id [ TEXT ] primary_key
title [ TEXT ]
type [ TEXT ]
pub_id [ TEXT ] titles.pub_id = publishers.pub_id
price [ REAL ]
advance [ REAL ]
royalty [ INTEGER ]
ytd_sales [ INTEGER ]
notes [ TEXT ]
pubdate [ DATETIME ]
roysched :
title_id [ TEXT ] roysched.title_id = titles.title_id
lorange [ INTEGER ]
hirange [ INTEGER ]
royalty [ INTEGER ]
sales :
stor_id [ TEXT ] sales.stor_id = stores.stor_id
ord_num [ TEXT ]
ord_date [ DATETIME ]
qty [ INTEGER ]
payterms [ TEXT ]
title_id [ TEXT ] sales.title_id = titles.title_id
titleauthor :
au_id [ TEXT ] titleauthor.au_id = authors.au_id
title_id [ TEXT ] titleauthor.title_id = titles.title_id
au_ord [ INTEGER ]
royaltyper [ INTEGER ]
Please write me a SQL statement that answers the following question: For the quantities, what percent more did the store in Fremont sell than the store in Portland in 1993? [/INST] | SELECT CAST(SUM(CASE WHEN T2.city = 'Fremont' THEN qty END) - SUM(CASE WHEN T2.city = 'Portland' THEN qty END) AS REAL) * 100 / SUM(CASE WHEN T2.city = 'Fremont' THEN qty END) FROM sales AS T1 INNER JOIN stores AS T2 ON T1.stor_id = T2.stor_id WHERE STRFTIME('%Y', T1.ord_date) = '1993'; |
[INST] Here is a database schema:
authors :
au_id [ TEXT ] primary_key
au_lname [ TEXT ]
au_fname [ TEXT ]
phone [ TEXT ]
address [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zip [ TEXT ]
contract [ TEXT ]
jobs :
job_id [ INTEGER ] primary_key
job_desc [ TEXT ]
min_lvl [ INTEGER ]
max_lvl [ INTEGER ]
publishers :
pub_id [ TEXT ] primary_key
pub_name [ TEXT ]
city [ TEXT ]
state [ TEXT ]
country [ TEXT ]
employee :
emp_id [ TEXT ] primary_key
fname [ TEXT ]
minit [ TEXT ]
lname [ TEXT ]
job_id [ INTEGER ] employee.job_id = jobs.job_id
job_lvl [ INTEGER ]
pub_id [ TEXT ] employee.pub_id = publishers.pub_id
hire_date [ DATETIME ]
pub_info :
pub_id [ TEXT ] primary_key pub_info.pub_id = publishers.pub_id
logo [ BLOB ]
pr_info [ TEXT ]
stores :
stor_id [ TEXT ] primary_key
stor_name [ TEXT ]
stor_address [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zip [ TEXT ]
discounts :
discounttype [ TEXT ]
stor_id [ TEXT ] discounts.stor_id = stores.stor_id
lowqty [ INTEGER ]
highqty [ INTEGER ]
discount [ REAL ]
titles :
title_id [ TEXT ] primary_key
title [ TEXT ]
type [ TEXT ]
pub_id [ TEXT ] titles.pub_id = publishers.pub_id
price [ REAL ]
advance [ REAL ]
royalty [ INTEGER ]
ytd_sales [ INTEGER ]
notes [ TEXT ]
pubdate [ DATETIME ]
roysched :
title_id [ TEXT ] roysched.title_id = titles.title_id
lorange [ INTEGER ]
hirange [ INTEGER ]
royalty [ INTEGER ]
sales :
stor_id [ TEXT ] sales.stor_id = stores.stor_id
ord_num [ TEXT ]
ord_date [ DATETIME ]
qty [ INTEGER ]
payterms [ TEXT ]
title_id [ TEXT ] sales.title_id = titles.title_id
titleauthor :
au_id [ TEXT ] titleauthor.au_id = authors.au_id
title_id [ TEXT ] titleauthor.title_id = titles.title_id
au_ord [ INTEGER ]
royaltyper [ INTEGER ]
Please write me a SQL statement that answers the following question: Among all the employees, how many percent more for the publishers than designers? [/INST] | SELECT CAST(SUM(CASE WHEN T2.job_desc = 'publisher' THEN 1 ELSE 0 END) - SUM(CASE WHEN T2.job_desc = 'designer' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.job_id) FROM employee AS T1 INNER JOIN jobs AS T2 ON T1.job_id = T2.job_id; |
[INST] Here is a database schema:
authors :
au_id [ TEXT ] primary_key
au_lname [ TEXT ]
au_fname [ TEXT ]
phone [ TEXT ]
address [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zip [ TEXT ]
contract [ TEXT ]
jobs :
job_id [ INTEGER ] primary_key
job_desc [ TEXT ]
min_lvl [ INTEGER ]
max_lvl [ INTEGER ]
publishers :
pub_id [ TEXT ] primary_key
pub_name [ TEXT ]
city [ TEXT ]
state [ TEXT ]
country [ TEXT ]
employee :
emp_id [ TEXT ] primary_key
fname [ TEXT ]
minit [ TEXT ]
lname [ TEXT ]
job_id [ INTEGER ] employee.job_id = jobs.job_id
job_lvl [ INTEGER ]
pub_id [ TEXT ] employee.pub_id = publishers.pub_id
hire_date [ DATETIME ]
pub_info :
pub_id [ TEXT ] primary_key pub_info.pub_id = publishers.pub_id
logo [ BLOB ]
pr_info [ TEXT ]
stores :
stor_id [ TEXT ] primary_key
stor_name [ TEXT ]
stor_address [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zip [ TEXT ]
discounts :
discounttype [ TEXT ]
stor_id [ TEXT ] discounts.stor_id = stores.stor_id
lowqty [ INTEGER ]
highqty [ INTEGER ]
discount [ REAL ]
titles :
title_id [ TEXT ] primary_key
title [ TEXT ]
type [ TEXT ]
pub_id [ TEXT ] titles.pub_id = publishers.pub_id
price [ REAL ]
advance [ REAL ]
royalty [ INTEGER ]
ytd_sales [ INTEGER ]
notes [ TEXT ]
pubdate [ DATETIME ]
roysched :
title_id [ TEXT ] roysched.title_id = titles.title_id
lorange [ INTEGER ]
hirange [ INTEGER ]
royalty [ INTEGER ]
sales :
stor_id [ TEXT ] sales.stor_id = stores.stor_id
ord_num [ TEXT ]
ord_date [ DATETIME ]
qty [ INTEGER ]
payterms [ TEXT ]
title_id [ TEXT ] sales.title_id = titles.title_id
titleauthor :
au_id [ TEXT ] titleauthor.au_id = authors.au_id
title_id [ TEXT ] titleauthor.title_id = titles.title_id
au_ord [ INTEGER ]
royaltyper [ INTEGER ]
Please write me a SQL statement that answers the following question: Find and list the full name of employees who were hired between 1990 and 1995. Also, arrange them in the descending order of job level. [/INST] | SELECT fname, minit, lname FROM employee WHERE STRFTIME('%Y', hire_date) BETWEEN '1990' AND '1995' ORDER BY job_lvl DESC; |
[INST] Here is a database schema:
authors :
au_id [ TEXT ] primary_key
au_lname [ TEXT ]
au_fname [ TEXT ]
phone [ TEXT ]
address [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zip [ TEXT ]
contract [ TEXT ]
jobs :
job_id [ INTEGER ] primary_key
job_desc [ TEXT ]
min_lvl [ INTEGER ]
max_lvl [ INTEGER ]
publishers :
pub_id [ TEXT ] primary_key
pub_name [ TEXT ]
city [ TEXT ]
state [ TEXT ]
country [ TEXT ]
employee :
emp_id [ TEXT ] primary_key
fname [ TEXT ]
minit [ TEXT ]
lname [ TEXT ]
job_id [ INTEGER ] employee.job_id = jobs.job_id
job_lvl [ INTEGER ]
pub_id [ TEXT ] employee.pub_id = publishers.pub_id
hire_date [ DATETIME ]
pub_info :
pub_id [ TEXT ] primary_key pub_info.pub_id = publishers.pub_id
logo [ BLOB ]
pr_info [ TEXT ]
stores :
stor_id [ TEXT ] primary_key
stor_name [ TEXT ]
stor_address [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zip [ TEXT ]
discounts :
discounttype [ TEXT ]
stor_id [ TEXT ] discounts.stor_id = stores.stor_id
lowqty [ INTEGER ]
highqty [ INTEGER ]
discount [ REAL ]
titles :
title_id [ TEXT ] primary_key
title [ TEXT ]
type [ TEXT ]
pub_id [ TEXT ] titles.pub_id = publishers.pub_id
price [ REAL ]
advance [ REAL ]
royalty [ INTEGER ]
ytd_sales [ INTEGER ]
notes [ TEXT ]
pubdate [ DATETIME ]
roysched :
title_id [ TEXT ] roysched.title_id = titles.title_id
lorange [ INTEGER ]
hirange [ INTEGER ]
royalty [ INTEGER ]
sales :
stor_id [ TEXT ] sales.stor_id = stores.stor_id
ord_num [ TEXT ]
ord_date [ DATETIME ]
qty [ INTEGER ]
payterms [ TEXT ]
title_id [ TEXT ] sales.title_id = titles.title_id
titleauthor :
au_id [ TEXT ] titleauthor.au_id = authors.au_id
title_id [ TEXT ] titleauthor.title_id = titles.title_id
au_ord [ INTEGER ]
royaltyper [ INTEGER ]
Please write me a SQL statement that answers the following question: Which titles has above average royalty rate? Give those title's name, type and price? [/INST] | SELECT DISTINCT T1.title, T1.type, T1.price FROM titles AS T1 INNER JOIN roysched AS T2 ON T1.title_id = T2.title_id WHERE T2.royalty > ( SELECT CAST(SUM(royalty) AS REAL) / COUNT(title_id) FROM roysched ); |
[INST] Here is a database schema:
authors :
au_id [ TEXT ] primary_key
au_lname [ TEXT ]
au_fname [ TEXT ]
phone [ TEXT ]
address [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zip [ TEXT ]
contract [ TEXT ]
jobs :
job_id [ INTEGER ] primary_key
job_desc [ TEXT ]
min_lvl [ INTEGER ]
max_lvl [ INTEGER ]
publishers :
pub_id [ TEXT ] primary_key
pub_name [ TEXT ]
city [ TEXT ]
state [ TEXT ]
country [ TEXT ]
employee :
emp_id [ TEXT ] primary_key
fname [ TEXT ]
minit [ TEXT ]
lname [ TEXT ]
job_id [ INTEGER ] employee.job_id = jobs.job_id
job_lvl [ INTEGER ]
pub_id [ TEXT ] employee.pub_id = publishers.pub_id
hire_date [ DATETIME ]
pub_info :
pub_id [ TEXT ] primary_key pub_info.pub_id = publishers.pub_id
logo [ BLOB ]
pr_info [ TEXT ]
stores :
stor_id [ TEXT ] primary_key
stor_name [ TEXT ]
stor_address [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zip [ TEXT ]
discounts :
discounttype [ TEXT ]
stor_id [ TEXT ] discounts.stor_id = stores.stor_id
lowqty [ INTEGER ]
highqty [ INTEGER ]
discount [ REAL ]
titles :
title_id [ TEXT ] primary_key
title [ TEXT ]
type [ TEXT ]
pub_id [ TEXT ] titles.pub_id = publishers.pub_id
price [ REAL ]
advance [ REAL ]
royalty [ INTEGER ]
ytd_sales [ INTEGER ]
notes [ TEXT ]
pubdate [ DATETIME ]
roysched :
title_id [ TEXT ] roysched.title_id = titles.title_id
lorange [ INTEGER ]
hirange [ INTEGER ]
royalty [ INTEGER ]
sales :
stor_id [ TEXT ] sales.stor_id = stores.stor_id
ord_num [ TEXT ]
ord_date [ DATETIME ]
qty [ INTEGER ]
payterms [ TEXT ]
title_id [ TEXT ] sales.title_id = titles.title_id
titleauthor :
au_id [ TEXT ] titleauthor.au_id = authors.au_id
title_id [ TEXT ] titleauthor.title_id = titles.title_id
au_ord [ INTEGER ]
royaltyper [ INTEGER ]
Please write me a SQL statement that answers the following question: In 1994 which title had less order quanty than the average order quantity? Find the title name, type and price. [/INST] | SELECT DISTINCT T1.title, T1.type, T1.price FROM titles AS T1 INNER JOIN sales AS T2 ON T1.title_id = T2.title_id WHERE T2.ord_date LIKE '1994%' AND T2.Qty < ( SELECT CAST(SUM(T4.qty) AS REAL) / COUNT(T3.title_id) FROM titles AS T3 INNER JOIN sales AS T4 ON T3.title_id = T4.title_id ); |
[INST] Here is a database schema:
authors :
au_id [ TEXT ] primary_key
au_lname [ TEXT ]
au_fname [ TEXT ]
phone [ TEXT ]
address [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zip [ TEXT ]
contract [ TEXT ]
jobs :
job_id [ INTEGER ] primary_key
job_desc [ TEXT ]
min_lvl [ INTEGER ]
max_lvl [ INTEGER ]
publishers :
pub_id [ TEXT ] primary_key
pub_name [ TEXT ]
city [ TEXT ]
state [ TEXT ]
country [ TEXT ]
employee :
emp_id [ TEXT ] primary_key
fname [ TEXT ]
minit [ TEXT ]
lname [ TEXT ]
job_id [ INTEGER ] employee.job_id = jobs.job_id
job_lvl [ INTEGER ]
pub_id [ TEXT ] employee.pub_id = publishers.pub_id
hire_date [ DATETIME ]
pub_info :
pub_id [ TEXT ] primary_key pub_info.pub_id = publishers.pub_id
logo [ BLOB ]
pr_info [ TEXT ]
stores :
stor_id [ TEXT ] primary_key
stor_name [ TEXT ]
stor_address [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zip [ TEXT ]
discounts :
discounttype [ TEXT ]
stor_id [ TEXT ] discounts.stor_id = stores.stor_id
lowqty [ INTEGER ]
highqty [ INTEGER ]
discount [ REAL ]
titles :
title_id [ TEXT ] primary_key
title [ TEXT ]
type [ TEXT ]
pub_id [ TEXT ] titles.pub_id = publishers.pub_id
price [ REAL ]
advance [ REAL ]
royalty [ INTEGER ]
ytd_sales [ INTEGER ]
notes [ TEXT ]
pubdate [ DATETIME ]
roysched :
title_id [ TEXT ] roysched.title_id = titles.title_id
lorange [ INTEGER ]
hirange [ INTEGER ]
royalty [ INTEGER ]
sales :
stor_id [ TEXT ] sales.stor_id = stores.stor_id
ord_num [ TEXT ]
ord_date [ DATETIME ]
qty [ INTEGER ]
payterms [ TEXT ]
title_id [ TEXT ] sales.title_id = titles.title_id
titleauthor :
au_id [ TEXT ] titleauthor.au_id = authors.au_id
title_id [ TEXT ] titleauthor.title_id = titles.title_id
au_ord [ INTEGER ]
royaltyper [ INTEGER ]
Please write me a SQL statement that answers the following question: List the title name, type, and price of the titles published by New Moon Books. Arrange the list in ascending order of price. [/INST] | SELECT T1.title, T1.type, T1.price FROM titles AS T1 INNER JOIN publishers AS T2 ON T1.pub_id = T2.pub_id WHERE T2.pub_name = 'New Moon Books' ORDER BY T1.price; |
[INST] Here is a database schema:
authors :
au_id [ TEXT ] primary_key
au_lname [ TEXT ]
au_fname [ TEXT ]
phone [ TEXT ]
address [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zip [ TEXT ]
contract [ TEXT ]
jobs :
job_id [ INTEGER ] primary_key
job_desc [ TEXT ]
min_lvl [ INTEGER ]
max_lvl [ INTEGER ]
publishers :
pub_id [ TEXT ] primary_key
pub_name [ TEXT ]
city [ TEXT ]
state [ TEXT ]
country [ TEXT ]
employee :
emp_id [ TEXT ] primary_key
fname [ TEXT ]
minit [ TEXT ]
lname [ TEXT ]
job_id [ INTEGER ] employee.job_id = jobs.job_id
job_lvl [ INTEGER ]
pub_id [ TEXT ] employee.pub_id = publishers.pub_id
hire_date [ DATETIME ]
pub_info :
pub_id [ TEXT ] primary_key pub_info.pub_id = publishers.pub_id
logo [ BLOB ]
pr_info [ TEXT ]
stores :
stor_id [ TEXT ] primary_key
stor_name [ TEXT ]
stor_address [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zip [ TEXT ]
discounts :
discounttype [ TEXT ]
stor_id [ TEXT ] discounts.stor_id = stores.stor_id
lowqty [ INTEGER ]
highqty [ INTEGER ]
discount [ REAL ]
titles :
title_id [ TEXT ] primary_key
title [ TEXT ]
type [ TEXT ]
pub_id [ TEXT ] titles.pub_id = publishers.pub_id
price [ REAL ]
advance [ REAL ]
royalty [ INTEGER ]
ytd_sales [ INTEGER ]
notes [ TEXT ]
pubdate [ DATETIME ]
roysched :
title_id [ TEXT ] roysched.title_id = titles.title_id
lorange [ INTEGER ]
hirange [ INTEGER ]
royalty [ INTEGER ]
sales :
stor_id [ TEXT ] sales.stor_id = stores.stor_id
ord_num [ TEXT ]
ord_date [ DATETIME ]
qty [ INTEGER ]
payterms [ TEXT ]
title_id [ TEXT ] sales.title_id = titles.title_id
titleauthor :
au_id [ TEXT ] titleauthor.au_id = authors.au_id
title_id [ TEXT ] titleauthor.title_id = titles.title_id
au_ord [ INTEGER ]
royaltyper [ INTEGER ]
Please write me a SQL statement that answers the following question: In the books published by US publishers, which book has the highest royalty? List these books in the descending order of royalty. [/INST] | SELECT T1.title FROM titles AS T1 INNER JOIN publishers AS T2 ON T1.pub_id = T2.pub_id INNER JOIN roysched AS T3 ON T1.title_id = T3.title_id WHERE T2.country = 'USA' ORDER BY T1.royalty DESC; |
[INST] Here is a database schema:
authors :
au_id [ TEXT ] primary_key
au_lname [ TEXT ]
au_fname [ TEXT ]
phone [ TEXT ]
address [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zip [ TEXT ]
contract [ TEXT ]
jobs :
job_id [ INTEGER ] primary_key
job_desc [ TEXT ]
min_lvl [ INTEGER ]
max_lvl [ INTEGER ]
publishers :
pub_id [ TEXT ] primary_key
pub_name [ TEXT ]
city [ TEXT ]
state [ TEXT ]
country [ TEXT ]
employee :
emp_id [ TEXT ] primary_key
fname [ TEXT ]
minit [ TEXT ]
lname [ TEXT ]
job_id [ INTEGER ] employee.job_id = jobs.job_id
job_lvl [ INTEGER ]
pub_id [ TEXT ] employee.pub_id = publishers.pub_id
hire_date [ DATETIME ]
pub_info :
pub_id [ TEXT ] primary_key pub_info.pub_id = publishers.pub_id
logo [ BLOB ]
pr_info [ TEXT ]
stores :
stor_id [ TEXT ] primary_key
stor_name [ TEXT ]
stor_address [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zip [ TEXT ]
discounts :
discounttype [ TEXT ]
stor_id [ TEXT ] discounts.stor_id = stores.stor_id
lowqty [ INTEGER ]
highqty [ INTEGER ]
discount [ REAL ]
titles :
title_id [ TEXT ] primary_key
title [ TEXT ]
type [ TEXT ]
pub_id [ TEXT ] titles.pub_id = publishers.pub_id
price [ REAL ]
advance [ REAL ]
royalty [ INTEGER ]
ytd_sales [ INTEGER ]
notes [ TEXT ]
pubdate [ DATETIME ]
roysched :
title_id [ TEXT ] roysched.title_id = titles.title_id
lorange [ INTEGER ]
hirange [ INTEGER ]
royalty [ INTEGER ]
sales :
stor_id [ TEXT ] sales.stor_id = stores.stor_id
ord_num [ TEXT ]
ord_date [ DATETIME ]
qty [ INTEGER ]
payterms [ TEXT ]
title_id [ TEXT ] sales.title_id = titles.title_id
titleauthor :
au_id [ TEXT ] titleauthor.au_id = authors.au_id
title_id [ TEXT ] titleauthor.title_id = titles.title_id
au_ord [ INTEGER ]
royaltyper [ INTEGER ]
Please write me a SQL statement that answers the following question: Find the difference between the average royalty of titles published by US and non US publishers? [/INST] | SELECT (CAST(SUM(CASE WHEN T2.country = 'USA' THEN T1.royalty ELSE 0 END) AS REAL) / SUM(CASE WHEN T2.country = 'USA' THEN 1 ELSE 0 END)) - (CAST(SUM(CASE WHEN T2.country != 'USA' THEN T1.royalty ELSE 0 END) AS REAL) / SUM(CASE WHEN T2.country != 'USA' THEN 1 ELSE 0 END)) FROM titles AS T1 INNER JOIN publishers AS T2 ON T1.pub_id = T2.pub_id INNER JOIN roysched AS T3 ON T1.title_id = T3.title_id; |
[INST] Here is a database schema:
authors :
au_id [ TEXT ] primary_key
au_lname [ TEXT ]
au_fname [ TEXT ]
phone [ TEXT ]
address [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zip [ TEXT ]
contract [ TEXT ]
jobs :
job_id [ INTEGER ] primary_key
job_desc [ TEXT ]
min_lvl [ INTEGER ]
max_lvl [ INTEGER ]
publishers :
pub_id [ TEXT ] primary_key
pub_name [ TEXT ]
city [ TEXT ]
state [ TEXT ]
country [ TEXT ]
employee :
emp_id [ TEXT ] primary_key
fname [ TEXT ]
minit [ TEXT ]
lname [ TEXT ]
job_id [ INTEGER ] employee.job_id = jobs.job_id
job_lvl [ INTEGER ]
pub_id [ TEXT ] employee.pub_id = publishers.pub_id
hire_date [ DATETIME ]
pub_info :
pub_id [ TEXT ] primary_key pub_info.pub_id = publishers.pub_id
logo [ BLOB ]
pr_info [ TEXT ]
stores :
stor_id [ TEXT ] primary_key
stor_name [ TEXT ]
stor_address [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zip [ TEXT ]
discounts :
discounttype [ TEXT ]
stor_id [ TEXT ] discounts.stor_id = stores.stor_id
lowqty [ INTEGER ]
highqty [ INTEGER ]
discount [ REAL ]
titles :
title_id [ TEXT ] primary_key
title [ TEXT ]
type [ TEXT ]
pub_id [ TEXT ] titles.pub_id = publishers.pub_id
price [ REAL ]
advance [ REAL ]
royalty [ INTEGER ]
ytd_sales [ INTEGER ]
notes [ TEXT ]
pubdate [ DATETIME ]
roysched :
title_id [ TEXT ] roysched.title_id = titles.title_id
lorange [ INTEGER ]
hirange [ INTEGER ]
royalty [ INTEGER ]
sales :
stor_id [ TEXT ] sales.stor_id = stores.stor_id
ord_num [ TEXT ]
ord_date [ DATETIME ]
qty [ INTEGER ]
payterms [ TEXT ]
title_id [ TEXT ] sales.title_id = titles.title_id
titleauthor :
au_id [ TEXT ] titleauthor.au_id = authors.au_id
title_id [ TEXT ] titleauthor.title_id = titles.title_id
au_ord [ INTEGER ]
royaltyper [ INTEGER ]
Please write me a SQL statement that answers the following question: Calculate the average level difference between the Marketing editors hired by the US and non-US publishers? [/INST] | SELECT (CAST(SUM(CASE WHEN T1.country = 'USA' THEN job_lvl ELSE 0 END) AS REAL) / SUM(CASE WHEN T1.country = 'USA' THEN 1 ELSE 0 END)) - (CAST(SUM(CASE WHEN T1.country != 'USA' THEN job_lvl ELSE 0 END) AS REAL) / SUM(CASE WHEN T1.country != 'USA' THEN 1 ELSE 0 END)) FROM publishers AS T1 INNER JOIN employee AS T2 ON T1.pub_id = T2.pub_id INNER JOIN jobs AS T3 ON T2.job_id = T3.job_id WHERE T3.job_desc = 'Managing Editor'; |
[INST] Here is a database schema:
authors :
au_id [ TEXT ] primary_key
au_lname [ TEXT ]
au_fname [ TEXT ]
phone [ TEXT ]
address [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zip [ TEXT ]
contract [ TEXT ]
jobs :
job_id [ INTEGER ] primary_key
job_desc [ TEXT ]
min_lvl [ INTEGER ]
max_lvl [ INTEGER ]
publishers :
pub_id [ TEXT ] primary_key
pub_name [ TEXT ]
city [ TEXT ]
state [ TEXT ]
country [ TEXT ]
employee :
emp_id [ TEXT ] primary_key
fname [ TEXT ]
minit [ TEXT ]
lname [ TEXT ]
job_id [ INTEGER ] employee.job_id = jobs.job_id
job_lvl [ INTEGER ]
pub_id [ TEXT ] employee.pub_id = publishers.pub_id
hire_date [ DATETIME ]
pub_info :
pub_id [ TEXT ] primary_key pub_info.pub_id = publishers.pub_id
logo [ BLOB ]
pr_info [ TEXT ]
stores :
stor_id [ TEXT ] primary_key
stor_name [ TEXT ]
stor_address [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zip [ TEXT ]
discounts :
discounttype [ TEXT ]
stor_id [ TEXT ] discounts.stor_id = stores.stor_id
lowqty [ INTEGER ]
highqty [ INTEGER ]
discount [ REAL ]
titles :
title_id [ TEXT ] primary_key
title [ TEXT ]
type [ TEXT ]
pub_id [ TEXT ] titles.pub_id = publishers.pub_id
price [ REAL ]
advance [ REAL ]
royalty [ INTEGER ]
ytd_sales [ INTEGER ]
notes [ TEXT ]
pubdate [ DATETIME ]
roysched :
title_id [ TEXT ] roysched.title_id = titles.title_id
lorange [ INTEGER ]
hirange [ INTEGER ]
royalty [ INTEGER ]
sales :
stor_id [ TEXT ] sales.stor_id = stores.stor_id
ord_num [ TEXT ]
ord_date [ DATETIME ]
qty [ INTEGER ]
payterms [ TEXT ]
title_id [ TEXT ] sales.title_id = titles.title_id
titleauthor :
au_id [ TEXT ] titleauthor.au_id = authors.au_id
title_id [ TEXT ] titleauthor.title_id = titles.title_id
au_ord [ INTEGER ]
royaltyper [ INTEGER ]
Please write me a SQL statement that answers the following question: Which title is about helpful hints on how to use your electronic resources, which publisher published it and what is the price of this book? [/INST] | SELECT T1.title, T2.pub_name, T1.price FROM titles AS T1 INNER JOIN publishers AS T2 ON T1.pub_id = T2.pub_id WHERE T1.notes = 'Helpful hints on how to use your electronic resources to the best advantage.'; |
[INST] Here is a database schema:
authors :
au_id [ TEXT ] primary_key
au_lname [ TEXT ]
au_fname [ TEXT ]
phone [ TEXT ]
address [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zip [ TEXT ]
contract [ TEXT ]
jobs :
job_id [ INTEGER ] primary_key
job_desc [ TEXT ]
min_lvl [ INTEGER ]
max_lvl [ INTEGER ]
publishers :
pub_id [ TEXT ] primary_key
pub_name [ TEXT ]
city [ TEXT ]
state [ TEXT ]
country [ TEXT ]
employee :
emp_id [ TEXT ] primary_key
fname [ TEXT ]
minit [ TEXT ]
lname [ TEXT ]
job_id [ INTEGER ] employee.job_id = jobs.job_id
job_lvl [ INTEGER ]
pub_id [ TEXT ] employee.pub_id = publishers.pub_id
hire_date [ DATETIME ]
pub_info :
pub_id [ TEXT ] primary_key pub_info.pub_id = publishers.pub_id
logo [ BLOB ]
pr_info [ TEXT ]
stores :
stor_id [ TEXT ] primary_key
stor_name [ TEXT ]
stor_address [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zip [ TEXT ]
discounts :
discounttype [ TEXT ]
stor_id [ TEXT ] discounts.stor_id = stores.stor_id
lowqty [ INTEGER ]
highqty [ INTEGER ]
discount [ REAL ]
titles :
title_id [ TEXT ] primary_key
title [ TEXT ]
type [ TEXT ]
pub_id [ TEXT ] titles.pub_id = publishers.pub_id
price [ REAL ]
advance [ REAL ]
royalty [ INTEGER ]
ytd_sales [ INTEGER ]
notes [ TEXT ]
pubdate [ DATETIME ]
roysched :
title_id [ TEXT ] roysched.title_id = titles.title_id
lorange [ INTEGER ]
hirange [ INTEGER ]
royalty [ INTEGER ]
sales :
stor_id [ TEXT ] sales.stor_id = stores.stor_id
ord_num [ TEXT ]
ord_date [ DATETIME ]
qty [ INTEGER ]
payterms [ TEXT ]
title_id [ TEXT ] sales.title_id = titles.title_id
titleauthor :
au_id [ TEXT ] titleauthor.au_id = authors.au_id
title_id [ TEXT ] titleauthor.title_id = titles.title_id
au_ord [ INTEGER ]
royaltyper [ INTEGER ]
Please write me a SQL statement that answers the following question: Of the titles, which title is about the Carefully researched study of the effects of strong emotions on the body, which state-based publisher published this book, and what is the year-to-date sale? [/INST] | SELECT T1.title, T2.pub_name, T1.ytd_sales FROM titles AS T1 INNER JOIN publishers AS T2 ON T1.pub_id = T2.pub_id WHERE T1.notes = 'Carefully researched study of the effects of strong emotions on the body. Metabolic charts included.'; |
[INST] Here is a database schema:
authors :
au_id [ TEXT ] primary_key
au_lname [ TEXT ]
au_fname [ TEXT ]
phone [ TEXT ]
address [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zip [ TEXT ]
contract [ TEXT ]
jobs :
job_id [ INTEGER ] primary_key
job_desc [ TEXT ]
min_lvl [ INTEGER ]
max_lvl [ INTEGER ]
publishers :
pub_id [ TEXT ] primary_key
pub_name [ TEXT ]
city [ TEXT ]
state [ TEXT ]
country [ TEXT ]
employee :
emp_id [ TEXT ] primary_key
fname [ TEXT ]
minit [ TEXT ]
lname [ TEXT ]
job_id [ INTEGER ] employee.job_id = jobs.job_id
job_lvl [ INTEGER ]
pub_id [ TEXT ] employee.pub_id = publishers.pub_id
hire_date [ DATETIME ]
pub_info :
pub_id [ TEXT ] primary_key pub_info.pub_id = publishers.pub_id
logo [ BLOB ]
pr_info [ TEXT ]
stores :
stor_id [ TEXT ] primary_key
stor_name [ TEXT ]
stor_address [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zip [ TEXT ]
discounts :
discounttype [ TEXT ]
stor_id [ TEXT ] discounts.stor_id = stores.stor_id
lowqty [ INTEGER ]
highqty [ INTEGER ]
discount [ REAL ]
titles :
title_id [ TEXT ] primary_key
title [ TEXT ]
type [ TEXT ]
pub_id [ TEXT ] titles.pub_id = publishers.pub_id
price [ REAL ]
advance [ REAL ]
royalty [ INTEGER ]
ytd_sales [ INTEGER ]
notes [ TEXT ]
pubdate [ DATETIME ]
roysched :
title_id [ TEXT ] roysched.title_id = titles.title_id
lorange [ INTEGER ]
hirange [ INTEGER ]
royalty [ INTEGER ]
sales :
stor_id [ TEXT ] sales.stor_id = stores.stor_id
ord_num [ TEXT ]
ord_date [ DATETIME ]
qty [ INTEGER ]
payterms [ TEXT ]
title_id [ TEXT ] sales.title_id = titles.title_id
titleauthor :
au_id [ TEXT ] titleauthor.au_id = authors.au_id
title_id [ TEXT ] titleauthor.title_id = titles.title_id
au_ord [ INTEGER ]
royaltyper [ INTEGER ]
Please write me a SQL statement that answers the following question: Name the top five titles that sold more than average and list them in descending order of the number of sales in California stores? [/INST] | SELECT T1.title FROM titles AS T1 INNER JOIN sales AS T2 ON T1.title_id = T2.title_id INNER JOIN publishers AS T3 ON T1.pub_id = T3.pub_id WHERE T2.qty > ( SELECT CAST(SUM(qty) AS REAL) / COUNT(title_id) FROM sales ) AND T3.state = 'CA' ORDER BY T2.qty 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: On which day was the most verbose complaint received? [/INST] | SELECT `Date received` FROM callcenterlogs WHERE 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: When did the earliest complaint start on 2017/3/22? [/INST] | SELECT MIN(ser_time) FROM callcenterlogs WHERE `Date received` = '2017-03-22'; |
[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 complaint is more urgent, complaint ID CR2400594 or ID CR2405641? [/INST] | SELECT CASE WHEN SUM(CASE WHEN `Complaint ID` = 'CR2400594' THEN priority END) > SUM(CASE WHEN `Complaint ID` = 'CR2405641' THEN priority END) THEN 'CR2400594' ELSE 'CR2405641' END 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: Please list the full names of all the male clients born after the year 1990. [/INST] | SELECT first, middle, last FROM client WHERE year > 1990; |
[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 have the client Diesel Galloway filed? [/INST] | SELECT COUNT(T1.client_id) FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T1.first = 'Diesel' AND T1.last = 'Galloway'; |
[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 detailed product of the complaint filed by Diesel Galloway on 2014/7/3? [/INST] | SELECT T2.`Sub-product` FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T1.first = 'Diesel' AND T1.last = 'Galloway' AND 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: Was the tag in the complaint filed by Matthew Pierce on 2016/10/28 approved by himself? [/INST] | SELECT CASE WHEN T2.`Consumer consent provided?` IN (NULL, 'N/A', 'Empty') THEN 'No' ELSE 'Yes' END FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T1.first = 'Matthew' AND T1.last = 'Pierce' AND T2.`Date received` = '2016-10-28'; |
[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: For how long was the complaint filed by Matthew Pierce on 2016/10/28 delayed? [/INST] | SELECT 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`)) FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T1.first = 'Matthew' AND T1.last = 'Pierce' AND T2.`Date received` = '2016-10-28'; |
[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 the client whose complaint on 2017/3/27 was received by MICHAL? [/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.`Date received` = '2017-03-27' AND T2.server = 'MICHAL'; |
[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: For how long did the complaint filed on 2017/3/27 by Rachel Hicks last? [/INST] | SELECT T2.ser_time FROM client AS T1 INNER JOIN callcenterlogs AS T2 ON T1.client_id = T2.`rand client` WHERE T1.first = 'Rachel' AND T1.last = 'Hicks' AND T2.`Date received` = '2017-03-27'; |
[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 all the clients from the New York city, how many of them have filed a complaint on the issue of Deposits and withdrawals? [/INST] | SELECT COUNT(T2.Issue) FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T2.Issue = 'Deposits and withdrawals' AND T1.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: Please list the full names of all the clients whose complaints are still in progress. [/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.`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: Among the clients who did receive a timely response for their complaint, how many of them are from New York? [/INST] | SELECT COUNT(T1.city) FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T2.`Timely response?` = 'No' AND T1.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: How many complaints on credit cards in the year 2016 were filed by male clients? [/INST] | SELECT COUNT(T1.sex) FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE strftime('%Y', T2.`Date received`) = '2016' AND T1.sex = 'Male' 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: Which division is Diesel Galloway in? [/INST] | SELECT T2.division FROM client AS T1 INNER JOIN district AS T2 ON T1.district_id = T2.district_id WHERE T1.first = 'Diesel' AND T1.last = 'Galloway'; |
[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 full names of all the male clients in the Pacific division. [/INST] | SELECT T1.first, T1.middle, T1.last FROM client AS T1 INNER JOIN district AS T2 ON T1.district_id = T2.district_id WHERE T2.division = 'Pacific' 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: What is the average number of complaints on credit cards filed by clients from New York in the 3 consecutive years starting from 2015? [/INST] | SELECT CAST(COUNT(T2.`Complaint ID`) AS REAL) / 3 AS average FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE strftime('%Y', T2.`Date received`) BETWEEN '2015' AND '2017' AND T1.city = 'New York City' 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: What is the percentage of the increase of complaints filed by the clients from New York from the year 2016 to the year 2017? [/INST] | SELECT 100.0 * (SUM(CASE WHEN strftime('%Y', T2.`Date received`) = '2017' THEN 1 ELSE 0 END) - SUM(CASE WHEN strftime('%Y', T2.`Date received`) = '2016' THEN 1 ELSE 0 END)) / SUM(CASE WHEN strftime('%Y', T2.`Date received`) = '2016' THEN 1 ELSE 0 END) FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T1.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 was the serve time for the complaint call from client "C00007127" on 2017/2/22? [/INST] | SELECT T1.ser_time FROM callcenterlogs AS T1 INNER JOIN events AS T2 ON T1.`Complaint ID` = T2.`Complaint ID` WHERE T2.Client_ID = 'C00007127' AND T1.`Date received` = '2017-02-22'; |
[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 does the owner of "[email protected]" live in? Give the full name of the state. [/INST] | SELECT T1.state FROM client AS T1 INNER JOIN district AS T2 ON T1.district_id = T2.district_id WHERE T1.email = '[email protected]'; |
[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 detailed product did Mr Lennox Oliver Drake complain about? [/INST] | SELECT DISTINCT T2.`Sub-product` FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T1.first = 'Lennox' AND T1.middle = 'Oliver' AND T1.last = 'Drake' 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: What was the detailed issue did Mr Gunner Omer Fuller complain about? [/INST] | SELECT T2.`Sub-issue` FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T1.first = 'Gunner' AND T1.middle = 'Omer' AND T1.last = 'Fuller' 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: Did Ms. Lyric Emely Taylor provide the consent for result of the complaint call on 2016/5/20? [/INST] | SELECT CASE WHEN T2.`Consumer consent provided?` IN (NULL, 'N/A', '') THEN 'No' ELSE 'Yes' END FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T1.first = 'Lyric' AND T1.middle = 'Emely' AND T1.last = 'Taylor' AND T1.sex = 'Female' AND T2.`Date received` = '2016-05-20'; |
[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: How many days delay for the complaint call from Mr. Brantley Julian Stanley on 2012/5/18? [/INST] | SELECT 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`)) AS days FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T2.`Date received` = '2012-05-18' AND T1.sex = 'Male' AND T1.first = 'Brantley' AND T1.middle = 'Julian' AND T1.last = 'Stanley'; |
[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 district did the review on 2018/9/11 come from? Give the name of the city. [/INST] | SELECT T2.district_id, T2.city FROM reviews AS T1 INNER JOIN district AS T2 ON T1.district_id = T2.district_id WHERE T1.Date = '2018-09-11'; |
[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: What was the review context from Jacksonville on 2017/7/22? [/INST] | SELECT T1.Reviews FROM reviews AS T1 INNER JOIN district AS T2 ON T1.district_id = T2.district_id WHERE T2.city = 'Jacksonville' AND T1.Date = '2017-07-22'; |
[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 a review from Indianapolis on 2016/10/7? [/INST] | SELECT T1.Product FROM reviews AS T1 INNER JOIN district AS T2 ON T1.district_id = T2.district_id WHERE T2.city = 'Indianapolis' AND T1.Date = '2016-10-07'; |
[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 stars did "Eagle Capital" received from Little Rock on 2013/4/4? [/INST] | SELECT COUNT(T1.Stars) FROM reviews AS T1 INNER JOIN district AS T2 ON T1.district_id = T2.district_id WHERE T1.Product = 'Eagle Capital' AND T2.city = 'Little Rock' AND T1.Date = '2013-04-04'; |
[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: For the client who made the complaint call "CR0217298", what was his/her birthday？ [/INST] | SELECT T1.month, T1.day FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T2.`Complaint ID` = 'CR0217298'; |
[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 phone of number of the client who made the complaint call "CR0100432" ？ [/INST] | SELECT T1.phone FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T2.`Complaint ID` = 'CR0100432'; |
[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: For all the complaint callers on 2017/3/27, what percentage of the clients are females? [/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 events AS T2 ON T1.client_id = T2.Client_ID WHERE T2.`Date received` = '2017-03-27'; |
[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 the complaint calls from Mr Mason Javen Lopez has got the consent provided by the customer? [/INST] | SELECT CAST(SUM(CASE WHEN T2.`Consumer consent provided?` = 'Consent provided' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T2.`Consumer consent provided?`) FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T1.sex = 'Male' AND T1.first = 'Mason' AND T1.middle = 'Javen' AND T1.last = 'Lopez'; |
[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 priority urgent complaints were received in march of 2017? List the complaint ID of these complaints. [/INST] | SELECT COUNT(`Complaint ID`) FROM callcenterlogs WHERE `Date received` LIKE '2017-01%' AND 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: Please list the full name, date of birth, and email id of the elderly clients in descending order of age. [/INST] | SELECT first, middle, last, year, month , day, email FROM client WHERE age > 65 ORDER BY age DESC; |
[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 got the most five stars, and how many? [/INST] | SELECT T.Product, MAX(T.num) FROM ( SELECT Product, COUNT(Stars) AS num FROM reviews WHERE Stars = 5 GROUP BY Product ) T; |
[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 states in the South region. [/INST] | SELECT state FROM state WHERE Region = 'South'; |
[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 id of clients whose calls were hung? [/INST] | SELECT T1.email FROM client AS T1 INNER JOIN callcenterlogs AS T2 ON T1.client_id = T2.`rand client` WHERE T2.outcome = 'HANG'; |
[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 from the Midwest region. [/INST] | SELECT CAST(SUM(T1.age) AS REAL) / COUNT(T3.Region) AS average 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'; |
[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 name and phone number of clients who submitted the complaint via fax. [/INST] | SELECT T1.first, T1.middle, T1.last, T1.phone FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_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: Find and list the names of districts which has below-average stars for Eagle Capital. [/INST] | SELECT T2.division FROM reviews AS T1 INNER JOIN district AS T2 ON T1.district_id = T2.district_id WHERE T1.Product = 'Eagle Capital' AND T1.Stars > ( SELECT AVG(Stars) FROM reviews AS T1 INNER JOIN district AS T2 ON T1.district_id = T2.district_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: In the calls from the mountain division, how many are from teenage clients? [/INST] | SELECT COUNT(T1.age) FROM client AS T1 INNER JOIN district AS T2 ON T1.district_id = T2.district_id WHERE T1.age BETWEEN 12 AND 20 AND T2.division = 'Mountain'; |
[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 number of complaints related to Credit cards came from female clients? [/INST] | SELECT COUNT(T1.sex) FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T1.sex = 'Female' 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: Among the clients born between 1980 and 2000, list the name of male clients who complained through referral. [/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 T1.year BETWEEN 1980 AND 2000 AND T1.sex = 'Male' AND T2.`Submitted via` = 'Referral'; |
[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 medium through which most complaints are registered in Florida? [/INST] | SELECT T3.`Submitted via` 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.state = 'FL' GROUP BY T1.`Complaint ID` ORDER BY COUNT(T1.`Complaint 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: Calculate the average number of complaints received from New Bedford each year which are closed with explanation. [/INST] | SELECT STRFTIME('%Y', T3.`Date received`) , CAST(SUM(CASE WHEN T3.`Company response to consumer` = 'Closed with explanation' THEN 1 ELSE 0 END) AS REAL) / COUNT(T3.`Complaint ID`) AS average 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.city = 'New Bedford' GROUP BY strftime('%Y', T3.`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: What percentage of consumers from Houston disputed complaints? [/INST] | SELECT CAST(SUM(CASE WHEN T2.`Consumer disputed?` = 'Yes' AND T1.city = 'Houston' 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; |
[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: Find the number of service members who complained in Syracuse. [/INST] | SELECT COUNT(T1.client_id) FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T2.Tags = 'Servicemember' AND T1.city = 'Syracuse'; |
[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 calls from California, what percentage are priority 1? [/INST] | SELECT CAST(SUM(CASE WHEN T1.priority = 1 THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.priority) 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 T4.State = 'California'; |
[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 difference in the average age of elderly and middle-aged clients in the Northeast region. [/INST] | SELECT (CAST(SUM(CASE WHEN T1.age BETWEEN 35 AND 55 THEN T1.age ELSE 0 END) AS REAL) / SUM(CASE WHEN T1.age BETWEEN 35 AND 55 THEN 1 ELSE 0 END)) - (CAST(SUM(CASE WHEN T1.age > 65 THEN T1.age ELSE 0 END) AS REAL) / SUM(CASE WHEN T1.age > 65 THEN 1 ELSE 0 END)) AS difference 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'; |
[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 their ID number the 3 longest complaints. [/INST] | SELECT `Complaint ID` FROM callcenterlogs ORDER BY ser_time DESC LIMIT 3; |
[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 have an email account other than gmail.com? [/INST] | SELECT COUNT(email) FROM client WHERE email NOT 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: Identify by their ID all clients who did not give their consent permission. [/INST] | SELECT Client_ID FROM events WHERE `Consumer consent provided?` = 'N/A' OR 'Consumer consent provided?' IS NULL OR '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: List by their ID the complaints received by the company on 25/09/2014 that took the longest. [/INST] | SELECT `Complaint ID` FROM events WHERE strftime('%J', `Date sent to company`) - strftime('%J', `Date received`) = ( SELECT MAX(strftime('%J', `Date sent to company`) - strftime('%J', `Date received`)) FROM events WHERE `Date sent to company` = '2014-09-25' ) AND `Date sent to company` = '2014-09-25'; |
[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 priority 2 complaints by date received. [/INST] | SELECT DISTINCT `Complaint ID` FROM callcenterlogs WHERE priority = 2 ORDER BY `Date received` DESC; |
[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 are not in process with an agent? [/INST] | SELECT COUNT(outcome) FROM callcenterlogs WHERE 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: How many Credit Card complaints did Sharon handle? [/INST] | SELECT COUNT(T1.`Complaint ID`) FROM callcenterlogs AS T1 INNER JOIN events AS T2 ON T1.`Complaint ID` = T2.`Complaint ID` WHERE T2.Product = 'Credit card' AND T1.server = 'SHARON'; |
[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 which region have the most 1-star reviews been done? [/INST] | SELECT T3.Region FROM reviews 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.Stars = 1 GROUP BY T3.Region ORDER BY COUNT(T3.Region) 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: In what years were the clients who demanded more problems with Certificate of deposit born? [/INST] | SELECT T1.year FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T2.`Sub-product` = '(CD) Certificate of deposit' GROUP BY T1.year ORDER BY COUNT(T1.year) 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 cases of billing dispute issues occurred in the Mountain division? [/INST] | SELECT COUNT(T1.Issue) FROM events AS T1 INNER JOIN client AS T2 ON T1.Client_ID = T2.client_id INNER JOIN district AS T3 ON T2.district_id = T3.district_id WHERE T1.Issue = 'Billing disputes' AND T3.division = 'Mountain'; |
[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 are from the state of Massachusetts? [/INST] | SELECT COUNT(T3.sex) 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 T1.state = 'Massachusetts' AND T3.sex = 'Male'; |