Datasets:

helloelwin

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bird_qa

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Given the following database schema and relevant knowledge, use SQL to answer the question. Schema: Table authors, columns = [au_id,au_lname,au_fname,phone,address,city,state,zip,contract] Table discounts, columns = [discounttype,stor_id,lowqty,highqty,discount] Table employee, columns = [emp_id,fname,minit,lname,job_id,job_lvl,pub_id,hire_date] Table jobs, columns = [job_id,job_desc,min_lvl,max_lvl] Table pub_info, columns = [pub_id,logo,pr_info] Table publishers, columns = [pub_id,pub_name,city,state,country] Table roysched, columns = [title_id,lorange,hirange,royalty] Table sales, columns = [stor_id,ord_num,ord_date,qty,payterms,title_id] Table stores, columns = [stor_id,stor_name,stor_address,city,state,zip] Table titleauthor, columns = [*,au_id,title_id,au_ord,royaltyper] Table titles, columns = [title_id,title,type,pub_id,price,advance,royalty,ytd_sales,notes,pubdate] Foreign_keys = [employee.pub_id = publishers.pub_id,employee.job_id = jobs.job_id,pub_info.pub_id = publishers.pub_id,discounts.stor_id = stores.stor_id,titles.pub_id = publishers.pub_id,roysched.title_id = titles.title_id,sales.title_id = titles.title_id,sales.stor_id = stores.stor_id,titleauthor.title_id = titles.title_id,titleauthor.au_id = authors.au_id] Knowledge: Managing Editor is a job description which refers to job_desc Question: Please list the first names of the employees who work as Managing Editor.

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'

{'authors': ['au_id', 'au_lname', 'au_fname', 'phone', 'address', 'city', 'state', 'zip', 'contract'], 'jobs': ['job_id', 'job_desc', 'min_lvl', 'max_lvl'], 'publishers': ['pub_id', 'pub_name', 'city', 'state', 'country'], 'employee': ['emp_id', 'fname', 'minit', 'lname', 'job_id', 'job_lvl', 'pub_id', 'hire_date'], 'pub_info': ['pub_id', 'logo', 'pr_info'], 'stores': ['stor_id', 'stor_name', 'stor_address', 'city', 'state', 'zip'], 'discounts': ['discounttype', 'stor_id', 'lowqty', 'highqty', 'discount'], 'titles': ['title_id', 'title', 'type', 'pub_id', 'price', 'advance', 'royalty', 'ytd_sales', 'notes', 'pubdate'], 'roysched': ['title_id', 'lorange', 'hirange', 'royalty'], 'sales': ['stor_id', 'ord_num', 'ord_date', 'qty', 'payterms', 'title_id'], 'titleauthor': ['au_id', 'title_id', 'au_ord', 'royaltyper']}

book_publishing_company

Given the following database schema and relevant knowledge, use SQL to answer the question. Schema: Table authors, columns = [au_id,au_lname,au_fname,phone,address,city,state,zip,contract] Table discounts, columns = [discounttype,stor_id,lowqty,highqty,discount] Table employee, columns = [emp_id,fname,minit,lname,job_id,job_lvl,pub_id,hire_date] Table jobs, columns = [job_id,job_desc,min_lvl,max_lvl] Table pub_info, columns = [pub_id,logo,pr_info] Table publishers, columns = [pub_id,pub_name,city,state,country] Table roysched, columns = [title_id,lorange,hirange,royalty] Table sales, columns = [stor_id,ord_num,ord_date,qty,payterms,title_id] Table stores, columns = [stor_id,stor_name,stor_address,city,state,zip] Table titleauthor, columns = [*,au_id,title_id,au_ord,royaltyper] Table titles, columns = [title_id,title,type,pub_id,price,advance,royalty,ytd_sales,notes,pubdate] Foreign_keys = [employee.pub_id = publishers.pub_id,employee.job_id = jobs.job_id,pub_info.pub_id = publishers.pub_id,discounts.stor_id = stores.stor_id,titles.pub_id = publishers.pub_id,roysched.title_id = titles.title_id,sales.title_id = titles.title_id,sales.stor_id = stores.stor_id,titleauthor.title_id = titles.title_id,titleauthor.au_id = authors.au_id] Knowledge: highest job level refers to MAX(job_lvl); hired the earliest refers to MIN(hire_date) Question: What is the highest level of job to get to for the employee who got hired the earliest?

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

{'authors': ['au_id', 'au_lname', 'au_fname', 'phone', 'address', 'city', 'state', 'zip', 'contract'], 'jobs': ['job_id', 'job_desc', 'min_lvl', 'max_lvl'], 'publishers': ['pub_id', 'pub_name', 'city', 'state', 'country'], 'employee': ['emp_id', 'fname', 'minit', 'lname', 'job_id', 'job_lvl', 'pub_id', 'hire_date'], 'pub_info': ['pub_id', 'logo', 'pr_info'], 'stores': ['stor_id', 'stor_name', 'stor_address', 'city', 'state', 'zip'], 'discounts': ['discounttype', 'stor_id', 'lowqty', 'highqty', 'discount'], 'titles': ['title_id', 'title', 'type', 'pub_id', 'price', 'advance', 'royalty', 'ytd_sales', 'notes', 'pubdate'], 'roysched': ['title_id', 'lorange', 'hirange', 'royalty'], 'sales': ['stor_id', 'ord_num', 'ord_date', 'qty', 'payterms', 'title_id'], 'titleauthor': ['au_id', 'title_id', 'au_ord', 'royaltyper']}

book_publishing_company

Given the following database schema and relevant knowledge, use SQL to answer the question. Schema: Table authors, columns = [au_id,au_lname,au_fname,phone,address,city,state,zip,contract] Table discounts, columns = [discounttype,stor_id,lowqty,highqty,discount] Table employee, columns = [emp_id,fname,minit,lname,job_id,job_lvl,pub_id,hire_date] Table jobs, columns = [job_id,job_desc,min_lvl,max_lvl] Table pub_info, columns = [pub_id,logo,pr_info] Table publishers, columns = [pub_id,pub_name,city,state,country] Table roysched, columns = [title_id,lorange,hirange,royalty] Table sales, columns = [stor_id,ord_num,ord_date,qty,payterms,title_id] Table stores, columns = [stor_id,stor_name,stor_address,city,state,zip] Table titleauthor, columns = [*,au_id,title_id,au_ord,royaltyper] Table titles, columns = [title_id,title,type,pub_id,price,advance,royalty,ytd_sales,notes,pubdate] Foreign_keys = [employee.pub_id = publishers.pub_id,employee.job_id = jobs.job_id,pub_info.pub_id = publishers.pub_id,discounts.stor_id = stores.stor_id,titles.pub_id = publishers.pub_id,roysched.title_id = titles.title_id,sales.title_id = titles.title_id,sales.stor_id = stores.stor_id,titleauthor.title_id = titles.title_id,titleauthor.au_id = authors.au_id] Knowledge: qty is abbreviation for quantity; highest sales quantity refers to MAX(qty) Question: In which city is the store with the highest total sales quantity located?

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

{'authors': ['au_id', 'au_lname', 'au_fname', 'phone', 'address', 'city', 'state', 'zip', 'contract'], 'jobs': ['job_id', 'job_desc', 'min_lvl', 'max_lvl'], 'publishers': ['pub_id', 'pub_name', 'city', 'state', 'country'], 'employee': ['emp_id', 'fname', 'minit', 'lname', 'job_id', 'job_lvl', 'pub_id', 'hire_date'], 'pub_info': ['pub_id', 'logo', 'pr_info'], 'stores': ['stor_id', 'stor_name', 'stor_address', 'city', 'state', 'zip'], 'discounts': ['discounttype', 'stor_id', 'lowqty', 'highqty', 'discount'], 'titles': ['title_id', 'title', 'type', 'pub_id', 'price', 'advance', 'royalty', 'ytd_sales', 'notes', 'pubdate'], 'roysched': ['title_id', 'lorange', 'hirange', 'royalty'], 'sales': ['stor_id', 'ord_num', 'ord_date', 'qty', 'payterms', 'title_id'], 'titleauthor': ['au_id', 'title_id', 'au_ord', 'royaltyper']}

book_publishing_company

Given the following database schema and relevant knowledge, use SQL to answer the question. Schema: Table authors, columns = [au_id,au_lname,au_fname,phone,address,city,state,zip,contract] Table discounts, columns = [discounttype,stor_id,lowqty,highqty,discount] Table employee, columns = [emp_id,fname,minit,lname,job_id,job_lvl,pub_id,hire_date] Table jobs, columns = [job_id,job_desc,min_lvl,max_lvl] Table pub_info, columns = [pub_id,logo,pr_info] Table publishers, columns = [pub_id,pub_name,city,state,country] Table roysched, columns = [title_id,lorange,hirange,royalty] Table sales, columns = [stor_id,ord_num,ord_date,qty,payterms,title_id] Table stores, columns = [stor_id,stor_name,stor_address,city,state,zip] Table titleauthor, columns = [*,au_id,title_id,au_ord,royaltyper] Table titles, columns = [title_id,title,type,pub_id,price,advance,royalty,ytd_sales,notes,pubdate] Foreign_keys = [employee.pub_id = publishers.pub_id,employee.job_id = jobs.job_id,pub_info.pub_id = publishers.pub_id,discounts.stor_id = stores.stor_id,titles.pub_id = publishers.pub_id,roysched.title_id = titles.title_id,sales.title_id = titles.title_id,sales.stor_id = stores.stor_id,titleauthor.title_id = titles.title_id,titleauthor.au_id = authors.au_id] Knowledge: qty is abbreviation for quantity; sells the best mean with the most sales quantity; MAX(qty) Question: What is the price of the book that sells the best?

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

{'authors': ['au_id', 'au_lname', 'au_fname', 'phone', 'address', 'city', 'state', 'zip', 'contract'], 'jobs': ['job_id', 'job_desc', 'min_lvl', 'max_lvl'], 'publishers': ['pub_id', 'pub_name', 'city', 'state', 'country'], 'employee': ['emp_id', 'fname', 'minit', 'lname', 'job_id', 'job_lvl', 'pub_id', 'hire_date'], 'pub_info': ['pub_id', 'logo', 'pr_info'], 'stores': ['stor_id', 'stor_name', 'stor_address', 'city', 'state', 'zip'], 'discounts': ['discounttype', 'stor_id', 'lowqty', 'highqty', 'discount'], 'titles': ['title_id', 'title', 'type', 'pub_id', 'price', 'advance', 'royalty', 'ytd_sales', 'notes', 'pubdate'], 'roysched': ['title_id', 'lorange', 'hirange', 'royalty'], 'sales': ['stor_id', 'ord_num', 'ord_date', 'qty', 'payterms', 'title_id'], 'titleauthor': ['au_id', 'title_id', 'au_ord', 'royaltyper']}

book_publishing_company

Given the following database schema and relevant knowledge, use SQL to answer the question. Schema: Table authors, columns = [au_id,au_lname,au_fname,phone,address,city,state,zip,contract] Table discounts, columns = [discounttype,stor_id,lowqty,highqty,discount] Table employee, columns = [emp_id,fname,minit,lname,job_id,job_lvl,pub_id,hire_date] Table jobs, columns = [job_id,job_desc,min_lvl,max_lvl] Table pub_info, columns = [pub_id,logo,pr_info] Table publishers, columns = [pub_id,pub_name,city,state,country] Table roysched, columns = [title_id,lorange,hirange,royalty] Table sales, columns = [stor_id,ord_num,ord_date,qty,payterms,title_id] Table stores, columns = [stor_id,stor_name,stor_address,city,state,zip] Table titleauthor, columns = [*,au_id,title_id,au_ord,royaltyper] Table titles, columns = [title_id,title,type,pub_id,price,advance,royalty,ytd_sales,notes,pubdate] Foreign_keys = [employee.pub_id = publishers.pub_id,employee.job_id = jobs.job_id,pub_info.pub_id = publishers.pub_id,discounts.stor_id = stores.stor_id,titles.pub_id = publishers.pub_id,roysched.title_id = titles.title_id,sales.title_id = titles.title_id,sales.stor_id = stores.stor_id,titleauthor.title_id = titles.title_id,titleauthor.au_id = authors.au_id] Knowledge: store name refers to stor_name Question: Please list the stores that ordered the book "Life Without Fear".

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'

{'authors': ['au_id', 'au_lname', 'au_fname', 'phone', 'address', 'city', 'state', 'zip', 'contract'], 'jobs': ['job_id', 'job_desc', 'min_lvl', 'max_lvl'], 'publishers': ['pub_id', 'pub_name', 'city', 'state', 'country'], 'employee': ['emp_id', 'fname', 'minit', 'lname', 'job_id', 'job_lvl', 'pub_id', 'hire_date'], 'pub_info': ['pub_id', 'logo', 'pr_info'], 'stores': ['stor_id', 'stor_name', 'stor_address', 'city', 'state', 'zip'], 'discounts': ['discounttype', 'stor_id', 'lowqty', 'highqty', 'discount'], 'titles': ['title_id', 'title', 'type', 'pub_id', 'price', 'advance', 'royalty', 'ytd_sales', 'notes', 'pubdate'], 'roysched': ['title_id', 'lorange', 'hirange', 'royalty'], 'sales': ['stor_id', 'ord_num', 'ord_date', 'qty', 'payterms', 'title_id'], 'titleauthor': ['au_id', 'title_id', 'au_ord', 'royaltyper']}

book_publishing_company

Given the following database schema and relevant knowledge, use SQL to answer the question. Schema: Table authors, columns = [au_id,au_lname,au_fname,phone,address,city,state,zip,contract] Table discounts, columns = [discounttype,stor_id,lowqty,highqty,discount] Table employee, columns = [emp_id,fname,minit,lname,job_id,job_lvl,pub_id,hire_date] Table jobs, columns = [job_id,job_desc,min_lvl,max_lvl] Table pub_info, columns = [pub_id,logo,pr_info] Table publishers, columns = [pub_id,pub_name,city,state,country] Table roysched, columns = [title_id,lorange,hirange,royalty] Table sales, columns = [stor_id,ord_num,ord_date,qty,payterms,title_id] Table stores, columns = [stor_id,stor_name,stor_address,city,state,zip] Table titleauthor, columns = [*,au_id,title_id,au_ord,royaltyper] Table titles, columns = [title_id,title,type,pub_id,price,advance,royalty,ytd_sales,notes,pubdate] Foreign_keys = [employee.pub_id = publishers.pub_id,employee.job_id = jobs.job_id,pub_info.pub_id = publishers.pub_id,discounts.stor_id = stores.stor_id,titles.pub_id = publishers.pub_id,roysched.title_id = titles.title_id,sales.title_id = titles.title_id,sales.stor_id = stores.stor_id,titleauthor.title_id = titles.title_id,titleauthor.au_id = authors.au_id] Knowledge: Massachusetts is a state Question: Among the stores that have ordered the book "Life Without Fear", how many of them are located in Massachusetts?

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'

{'authors': ['au_id', 'au_lname', 'au_fname', 'phone', 'address', 'city', 'state', 'zip', 'contract'], 'jobs': ['job_id', 'job_desc', 'min_lvl', 'max_lvl'], 'publishers': ['pub_id', 'pub_name', 'city', 'state', 'country'], 'employee': ['emp_id', 'fname', 'minit', 'lname', 'job_id', 'job_lvl', 'pub_id', 'hire_date'], 'pub_info': ['pub_id', 'logo', 'pr_info'], 'stores': ['stor_id', 'stor_name', 'stor_address', 'city', 'state', 'zip'], 'discounts': ['discounttype', 'stor_id', 'lowqty', 'highqty', 'discount'], 'titles': ['title_id', 'title', 'type', 'pub_id', 'price', 'advance', 'royalty', 'ytd_sales', 'notes', 'pubdate'], 'roysched': ['title_id', 'lorange', 'hirange', 'royalty'], 'sales': ['stor_id', 'ord_num', 'ord_date', 'qty', 'payterms', 'title_id'], 'titleauthor': ['au_id', 'title_id', 'au_ord', 'royaltyper']}

book_publishing_company

Given the following database schema and relevant knowledge, use SQL to answer the question. Schema: Table authors, columns = [au_id,au_lname,au_fname,phone,address,city,state,zip,contract] Table discounts, columns = [discounttype,stor_id,lowqty,highqty,discount] Table employee, columns = [emp_id,fname,minit,lname,job_id,job_lvl,pub_id,hire_date] Table jobs, columns = [job_id,job_desc,min_lvl,max_lvl] Table pub_info, columns = [pub_id,logo,pr_info] Table publishers, columns = [pub_id,pub_name,city,state,country] Table roysched, columns = [title_id,lorange,hirange,royalty] Table sales, columns = [stor_id,ord_num,ord_date,qty,payterms,title_id] Table stores, columns = [stor_id,stor_name,stor_address,city,state,zip] Table titleauthor, columns = [*,au_id,title_id,au_ord,royaltyper] Table titles, columns = [title_id,title,type,pub_id,price,advance,royalty,ytd_sales,notes,pubdate] Foreign_keys = [employee.pub_id = publishers.pub_id,employee.job_id = jobs.job_id,pub_info.pub_id = publishers.pub_id,discounts.stor_id = stores.stor_id,titles.pub_id = publishers.pub_id,roysched.title_id = titles.title_id,sales.title_id = titles.title_id,sales.stor_id = stores.stor_id,titleauthor.title_id = titles.title_id,titleauthor.au_id = authors.au_id] Knowledge: Life Without Fear is book title Question: In which country is the publisher of the book "Life Without Fear" located?

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'

{'authors': ['au_id', 'au_lname', 'au_fname', 'phone', 'address', 'city', 'state', 'zip', 'contract'], 'jobs': ['job_id', 'job_desc', 'min_lvl', 'max_lvl'], 'publishers': ['pub_id', 'pub_name', 'city', 'state', 'country'], 'employee': ['emp_id', 'fname', 'minit', 'lname', 'job_id', 'job_lvl', 'pub_id', 'hire_date'], 'pub_info': ['pub_id', 'logo', 'pr_info'], 'stores': ['stor_id', 'stor_name', 'stor_address', 'city', 'state', 'zip'], 'discounts': ['discounttype', 'stor_id', 'lowqty', 'highqty', 'discount'], 'titles': ['title_id', 'title', 'type', 'pub_id', 'price', 'advance', 'royalty', 'ytd_sales', 'notes', 'pubdate'], 'roysched': ['title_id', 'lorange', 'hirange', 'royalty'], 'sales': ['stor_id', 'ord_num', 'ord_date', 'qty', 'payterms', 'title_id'], 'titleauthor': ['au_id', 'title_id', 'au_ord', 'royaltyper']}

book_publishing_company

Given the following database schema and relevant knowledge, use SQL to answer the question. Schema: Table authors, columns = [au_id,au_lname,au_fname,phone,address,city,state,zip,contract] Table discounts, columns = [discounttype,stor_id,lowqty,highqty,discount] Table employee, columns = [emp_id,fname,minit,lname,job_id,job_lvl,pub_id,hire_date] Table jobs, columns = [job_id,job_desc,min_lvl,max_lvl] Table pub_info, columns = [pub_id,logo,pr_info] Table publishers, columns = [pub_id,pub_name,city,state,country] Table roysched, columns = [title_id,lorange,hirange,royalty] Table sales, columns = [stor_id,ord_num,ord_date,qty,payterms,title_id] Table stores, columns = [stor_id,stor_name,stor_address,city,state,zip] Table titleauthor, columns = [*,au_id,title_id,au_ord,royaltyper] Table titles, columns = [title_id,title,type,pub_id,price,advance,royalty,ytd_sales,notes,pubdate] Foreign_keys = [employee.pub_id = publishers.pub_id,employee.job_id = jobs.job_id,pub_info.pub_id = publishers.pub_id,discounts.stor_id = stores.stor_id,titles.pub_id = publishers.pub_id,roysched.title_id = titles.title_id,sales.title_id = titles.title_id,sales.stor_id = stores.stor_id,titleauthor.title_id = titles.title_id,titleauthor.au_id = authors.au_id] Knowledge: most expensive book refers to MAX(price) Question: What is the publisher that has published the most expensive book?

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

{'authors': ['au_id', 'au_lname', 'au_fname', 'phone', 'address', 'city', 'state', 'zip', 'contract'], 'jobs': ['job_id', 'job_desc', 'min_lvl', 'max_lvl'], 'publishers': ['pub_id', 'pub_name', 'city', 'state', 'country'], 'employee': ['emp_id', 'fname', 'minit', 'lname', 'job_id', 'job_lvl', 'pub_id', 'hire_date'], 'pub_info': ['pub_id', 'logo', 'pr_info'], 'stores': ['stor_id', 'stor_name', 'stor_address', 'city', 'state', 'zip'], 'discounts': ['discounttype', 'stor_id', 'lowqty', 'highqty', 'discount'], 'titles': ['title_id', 'title', 'type', 'pub_id', 'price', 'advance', 'royalty', 'ytd_sales', 'notes', 'pubdate'], 'roysched': ['title_id', 'lorange', 'hirange', 'royalty'], 'sales': ['stor_id', 'ord_num', 'ord_date', 'qty', 'payterms', 'title_id'], 'titleauthor': ['au_id', 'title_id', 'au_ord', 'royaltyper']}

book_publishing_company

Given the following database schema and relevant knowledge, use SQL to answer the question. Schema: Table authors, columns = [au_id,au_lname,au_fname,phone,address,city,state,zip,contract] Table discounts, columns = [discounttype,stor_id,lowqty,highqty,discount] Table employee, columns = [emp_id,fname,minit,lname,job_id,job_lvl,pub_id,hire_date] Table jobs, columns = [job_id,job_desc,min_lvl,max_lvl] Table pub_info, columns = [pub_id,logo,pr_info] Table publishers, columns = [pub_id,pub_name,city,state,country] Table roysched, columns = [title_id,lorange,hirange,royalty] Table sales, columns = [stor_id,ord_num,ord_date,qty,payterms,title_id] Table stores, columns = [stor_id,stor_name,stor_address,city,state,zip] Table titleauthor, columns = [*,au_id,title_id,au_ord,royaltyper] Table titles, columns = [title_id,title,type,pub_id,price,advance,royalty,ytd_sales,notes,pubdate] Foreign_keys = [employee.pub_id = publishers.pub_id,employee.job_id = jobs.job_id,pub_info.pub_id = publishers.pub_id,discounts.stor_id = stores.stor_id,titles.pub_id = publishers.pub_id,roysched.title_id = titles.title_id,sales.title_id = titles.title_id,sales.stor_id = stores.stor_id,titleauthor.title_id = titles.title_id,titleauthor.au_id = authors.au_id] Knowledge: are over $15 refers to price>15 Question: Among the publishers in the USA, how many of them have published books that are over $15?

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

{'authors': ['au_id', 'au_lname', 'au_fname', 'phone', 'address', 'city', 'state', 'zip', 'contract'], 'jobs': ['job_id', 'job_desc', 'min_lvl', 'max_lvl'], 'publishers': ['pub_id', 'pub_name', 'city', 'state', 'country'], 'employee': ['emp_id', 'fname', 'minit', 'lname', 'job_id', 'job_lvl', 'pub_id', 'hire_date'], 'pub_info': ['pub_id', 'logo', 'pr_info'], 'stores': ['stor_id', 'stor_name', 'stor_address', 'city', 'state', 'zip'], 'discounts': ['discounttype', 'stor_id', 'lowqty', 'highqty', 'discount'], 'titles': ['title_id', 'title', 'type', 'pub_id', 'price', 'advance', 'royalty', 'ytd_sales', 'notes', 'pubdate'], 'roysched': ['title_id', 'lorange', 'hirange', 'royalty'], 'sales': ['stor_id', 'ord_num', 'ord_date', 'qty', 'payterms', 'title_id'], 'titleauthor': ['au_id', 'title_id', 'au_ord', 'royaltyper']}

book_publishing_company

Given the following database schema and relevant knowledge, use SQL to answer the question. Schema: Table authors, columns = [au_id,au_lname,au_fname,phone,address,city,state,zip,contract] Table discounts, columns = [discounttype,stor_id,lowqty,highqty,discount] Table employee, columns = [emp_id,fname,minit,lname,job_id,job_lvl,pub_id,hire_date] Table jobs, columns = [job_id,job_desc,min_lvl,max_lvl] Table pub_info, columns = [pub_id,logo,pr_info] Table publishers, columns = [pub_id,pub_name,city,state,country] Table roysched, columns = [title_id,lorange,hirange,royalty] Table sales, columns = [stor_id,ord_num,ord_date,qty,payterms,title_id] Table stores, columns = [stor_id,stor_name,stor_address,city,state,zip] Table titleauthor, columns = [*,au_id,title_id,au_ord,royaltyper] Table titles, columns = [title_id,title,type,pub_id,price,advance,royalty,ytd_sales,notes,pubdate] Foreign_keys = [employee.pub_id = publishers.pub_id,employee.job_id = jobs.job_id,pub_info.pub_id = publishers.pub_id,discounts.stor_id = stores.stor_id,titles.pub_id = publishers.pub_id,roysched.title_id = titles.title_id,sales.title_id = titles.title_id,sales.stor_id = stores.stor_id,titleauthor.title_id = titles.title_id,titleauthor.au_id = authors.au_id] Knowledge: qty is abbreviation for quantity; sells the best mean with the most sales quantity; MAX(qty) Question: Please give more detailed information about the first three books that sell the best.

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

{'authors': ['au_id', 'au_lname', 'au_fname', 'phone', 'address', 'city', 'state', 'zip', 'contract'], 'jobs': ['job_id', 'job_desc', 'min_lvl', 'max_lvl'], 'publishers': ['pub_id', 'pub_name', 'city', 'state', 'country'], 'employee': ['emp_id', 'fname', 'minit', 'lname', 'job_id', 'job_lvl', 'pub_id', 'hire_date'], 'pub_info': ['pub_id', 'logo', 'pr_info'], 'stores': ['stor_id', 'stor_name', 'stor_address', 'city', 'state', 'zip'], 'discounts': ['discounttype', 'stor_id', 'lowqty', 'highqty', 'discount'], 'titles': ['title_id', 'title', 'type', 'pub_id', 'price', 'advance', 'royalty', 'ytd_sales', 'notes', 'pubdate'], 'roysched': ['title_id', 'lorange', 'hirange', 'royalty'], 'sales': ['stor_id', 'ord_num', 'ord_date', 'qty', 'payterms', 'title_id'], 'titleauthor': ['au_id', 'title_id', 'au_ord', 'royaltyper']}

book_publishing_company

Given the following database schema and relevant knowledge, use SQL to answer the question. Schema: Table authors, columns = [au_id,au_lname,au_fname,phone,address,city,state,zip,contract] Table discounts, columns = [discounttype,stor_id,lowqty,highqty,discount] Table employee, columns = [emp_id,fname,minit,lname,job_id,job_lvl,pub_id,hire_date] Table jobs, columns = [job_id,job_desc,min_lvl,max_lvl] Table pub_info, columns = [pub_id,logo,pr_info] Table publishers, columns = [pub_id,pub_name,city,state,country] Table roysched, columns = [title_id,lorange,hirange,royalty] Table sales, columns = [stor_id,ord_num,ord_date,qty,payterms,title_id] Table stores, columns = [stor_id,stor_name,stor_address,city,state,zip] Table titleauthor, columns = [*,au_id,title_id,au_ord,royaltyper] Table titles, columns = [title_id,title,type,pub_id,price,advance,royalty,ytd_sales,notes,pubdate] Foreign_keys = [employee.pub_id = publishers.pub_id,employee.job_id = jobs.job_id,pub_info.pub_id = publishers.pub_id,discounts.stor_id = stores.stor_id,titles.pub_id = publishers.pub_id,roysched.title_id = titles.title_id,sales.title_id = titles.title_id,sales.stor_id = stores.stor_id,titleauthor.title_id = titles.title_id,titleauthor.au_id = authors.au_id] Knowledge: Massachusetts is a state; business books refers to type = 'business' Question: How many books on business have the bookstores in Massachusetts ordered?

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'

{'authors': ['au_id', 'au_lname', 'au_fname', 'phone', 'address', 'city', 'state', 'zip', 'contract'], 'jobs': ['job_id', 'job_desc', 'min_lvl', 'max_lvl'], 'publishers': ['pub_id', 'pub_name', 'city', 'state', 'country'], 'employee': ['emp_id', 'fname', 'minit', 'lname', 'job_id', 'job_lvl', 'pub_id', 'hire_date'], 'pub_info': ['pub_id', 'logo', 'pr_info'], 'stores': ['stor_id', 'stor_name', 'stor_address', 'city', 'state', 'zip'], 'discounts': ['discounttype', 'stor_id', 'lowqty', 'highqty', 'discount'], 'titles': ['title_id', 'title', 'type', 'pub_id', 'price', 'advance', 'royalty', 'ytd_sales', 'notes', 'pubdate'], 'roysched': ['title_id', 'lorange', 'hirange', 'royalty'], 'sales': ['stor_id', 'ord_num', 'ord_date', 'qty', 'payterms', 'title_id'], 'titleauthor': ['au_id', 'title_id', 'au_ord', 'royaltyper']}

book_publishing_company

Given the following database schema and relevant knowledge, use SQL to answer the question. Schema: Table authors, columns = [au_id,au_lname,au_fname,phone,address,city,state,zip,contract] Table discounts, columns = [discounttype,stor_id,lowqty,highqty,discount] Table employee, columns = [emp_id,fname,minit,lname,job_id,job_lvl,pub_id,hire_date] Table jobs, columns = [job_id,job_desc,min_lvl,max_lvl] Table pub_info, columns = [pub_id,logo,pr_info] Table publishers, columns = [pub_id,pub_name,city,state,country] Table roysched, columns = [title_id,lorange,hirange,royalty] Table sales, columns = [stor_id,ord_num,ord_date,qty,payterms,title_id] Table stores, columns = [stor_id,stor_name,stor_address,city,state,zip] Table titleauthor, columns = [*,au_id,title_id,au_ord,royaltyper] Table titles, columns = [title_id,title,type,pub_id,price,advance,royalty,ytd_sales,notes,pubdate] Foreign_keys = [employee.pub_id = publishers.pub_id,employee.job_id = jobs.job_id,pub_info.pub_id = publishers.pub_id,discounts.stor_id = stores.stor_id,titles.pub_id = publishers.pub_id,roysched.title_id = titles.title_id,sales.title_id = titles.title_id,sales.stor_id = stores.stor_id,titleauthor.title_id = titles.title_id,titleauthor.au_id = authors.au_id] Knowledge: qty is abbreviation for quantity; average quantity order = AVG(qty) Question: What is the average quantity of each order for the book "Life Without Fear"?

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'

{'authors': ['au_id', 'au_lname', 'au_fname', 'phone', 'address', 'city', 'state', 'zip', 'contract'], 'jobs': ['job_id', 'job_desc', 'min_lvl', 'max_lvl'], 'publishers': ['pub_id', 'pub_name', 'city', 'state', 'country'], 'employee': ['emp_id', 'fname', 'minit', 'lname', 'job_id', 'job_lvl', 'pub_id', 'hire_date'], 'pub_info': ['pub_id', 'logo', 'pr_info'], 'stores': ['stor_id', 'stor_name', 'stor_address', 'city', 'state', 'zip'], 'discounts': ['discounttype', 'stor_id', 'lowqty', 'highqty', 'discount'], 'titles': ['title_id', 'title', 'type', 'pub_id', 'price', 'advance', 'royalty', 'ytd_sales', 'notes', 'pubdate'], 'roysched': ['title_id', 'lorange', 'hirange', 'royalty'], 'sales': ['stor_id', 'ord_num', 'ord_date', 'qty', 'payterms', 'title_id'], 'titleauthor': ['au_id', 'title_id', 'au_ord', 'royaltyper']}

book_publishing_company

Given the following database schema and relevant knowledge, use SQL to answer the question. Schema: Table authors, columns = [au_id,au_lname,au_fname,phone,address,city,state,zip,contract] Table discounts, columns = [discounttype,stor_id,lowqty,highqty,discount] Table employee, columns = [emp_id,fname,minit,lname,job_id,job_lvl,pub_id,hire_date] Table jobs, columns = [job_id,job_desc,min_lvl,max_lvl] Table pub_info, columns = [pub_id,logo,pr_info] Table publishers, columns = [pub_id,pub_name,city,state,country] Table roysched, columns = [title_id,lorange,hirange,royalty] Table sales, columns = [stor_id,ord_num,ord_date,qty,payterms,title_id] Table stores, columns = [stor_id,stor_name,stor_address,city,state,zip] Table titleauthor, columns = [*,au_id,title_id,au_ord,royaltyper] Table titles, columns = [title_id,title,type,pub_id,price,advance,royalty,ytd_sales,notes,pubdate] Foreign_keys = [employee.pub_id = publishers.pub_id,employee.job_id = jobs.job_id,pub_info.pub_id = publishers.pub_id,discounts.stor_id = stores.stor_id,titles.pub_id = publishers.pub_id,roysched.title_id = titles.title_id,sales.title_id = titles.title_id,sales.stor_id = stores.stor_id,titleauthor.title_id = titles.title_id,titleauthor.au_id = authors.au_id] Knowledge: Managing Editor is a job description which refers to job_desc; job level refers to job_lvl; highest level job refers to max_lvl; levels between the average level and the highest level = SUBTRACT(max_lvl; AVG(job_lvl)) 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?

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

{'authors': ['au_id', 'au_lname', 'au_fname', 'phone', 'address', 'city', 'state', 'zip', 'contract'], 'jobs': ['job_id', 'job_desc', 'min_lvl', 'max_lvl'], 'publishers': ['pub_id', 'pub_name', 'city', 'state', 'country'], 'employee': ['emp_id', 'fname', 'minit', 'lname', 'job_id', 'job_lvl', 'pub_id', 'hire_date'], 'pub_info': ['pub_id', 'logo', 'pr_info'], 'stores': ['stor_id', 'stor_name', 'stor_address', 'city', 'state', 'zip'], 'discounts': ['discounttype', 'stor_id', 'lowqty', 'highqty', 'discount'], 'titles': ['title_id', 'title', 'type', 'pub_id', 'price', 'advance', 'royalty', 'ytd_sales', 'notes', 'pubdate'], 'roysched': ['title_id', 'lorange', 'hirange', 'royalty'], 'sales': ['stor_id', 'ord_num', 'ord_date', 'qty', 'payterms', 'title_id'], 'titleauthor': ['au_id', 'title_id', 'au_ord', 'royaltyper']}

book_publishing_company

Given the following database schema and relevant knowledge, use SQL to answer the question. Schema: Table authors, columns = [au_id,au_lname,au_fname,phone,address,city,state,zip,contract] Table discounts, columns = [discounttype,stor_id,lowqty,highqty,discount] Table employee, columns = [emp_id,fname,minit,lname,job_id,job_lvl,pub_id,hire_date] Table jobs, columns = [job_id,job_desc,min_lvl,max_lvl] Table pub_info, columns = [pub_id,logo,pr_info] Table publishers, columns = [pub_id,pub_name,city,state,country] Table roysched, columns = [title_id,lorange,hirange,royalty] Table sales, columns = [stor_id,ord_num,ord_date,qty,payterms,title_id] Table stores, columns = [stor_id,stor_name,stor_address,city,state,zip] Table titleauthor, columns = [*,au_id,title_id,au_ord,royaltyper] Table titles, columns = [title_id,title,type,pub_id,price,advance,royalty,ytd_sales,notes,pubdate] Foreign_keys = [employee.pub_id = publishers.pub_id,employee.job_id = jobs.job_id,pub_info.pub_id = publishers.pub_id,discounts.stor_id = stores.stor_id,titles.pub_id = publishers.pub_id,roysched.title_id = titles.title_id,sales.title_id = titles.title_id,sales.stor_id = stores.stor_id,titleauthor.title_id = titles.title_id,titleauthor.au_id = authors.au_id] Knowledge: business books refers to type = 'business'; cheapest book refers to MIN(price) Question: Which one is the cheapest business book?

SELECT title FROM titles WHERE type = 'business' ORDER BY price LIMIT 1

{'authors': ['au_id', 'au_lname', 'au_fname', 'phone', 'address', 'city', 'state', 'zip', 'contract'], 'jobs': ['job_id', 'job_desc', 'min_lvl', 'max_lvl'], 'publishers': ['pub_id', 'pub_name', 'city', 'state', 'country'], 'employee': ['emp_id', 'fname', 'minit', 'lname', 'job_id', 'job_lvl', 'pub_id', 'hire_date'], 'pub_info': ['pub_id', 'logo', 'pr_info'], 'stores': ['stor_id', 'stor_name', 'stor_address', 'city', 'state', 'zip'], 'discounts': ['discounttype', 'stor_id', 'lowqty', 'highqty', 'discount'], 'titles': ['title_id', 'title', 'type', 'pub_id', 'price', 'advance', 'royalty', 'ytd_sales', 'notes', 'pubdate'], 'roysched': ['title_id', 'lorange', 'hirange', 'royalty'], 'sales': ['stor_id', 'ord_num', 'ord_date', 'qty', 'payterms', 'title_id'], 'titleauthor': ['au_id', 'title_id', 'au_ord', 'royaltyper']}

book_publishing_company

Given the following database schema and relevant knowledge, use SQL to answer the question. Schema: Table authors, columns = [au_id,au_lname,au_fname,phone,address,city,state,zip,contract] Table discounts, columns = [discounttype,stor_id,lowqty,highqty,discount] Table employee, columns = [emp_id,fname,minit,lname,job_id,job_lvl,pub_id,hire_date] Table jobs, columns = [job_id,job_desc,min_lvl,max_lvl] Table pub_info, columns = [pub_id,logo,pr_info] Table publishers, columns = [pub_id,pub_name,city,state,country] Table roysched, columns = [title_id,lorange,hirange,royalty] Table sales, columns = [stor_id,ord_num,ord_date,qty,payterms,title_id] Table stores, columns = [stor_id,stor_name,stor_address,city,state,zip] Table titleauthor, columns = [*,au_id,title_id,au_ord,royaltyper] Table titles, columns = [title_id,title,type,pub_id,price,advance,royalty,ytd_sales,notes,pubdate] Foreign_keys = [employee.pub_id = publishers.pub_id,employee.job_id = jobs.job_id,pub_info.pub_id = publishers.pub_id,discounts.stor_id = stores.stor_id,titles.pub_id = publishers.pub_id,roysched.title_id = titles.title_id,sales.title_id = titles.title_id,sales.stor_id = stores.stor_id,titleauthor.title_id = titles.title_id,titleauthor.au_id = authors.au_id] Knowledge: most pre-paid amount refers to MAX(advance) Question: Which type of book had the most pre-paid amount?

SELECT type FROM titles ORDER BY advance DESC LIMIT 1

{'authors': ['au_id', 'au_lname', 'au_fname', 'phone', 'address', 'city', 'state', 'zip', 'contract'], 'jobs': ['job_id', 'job_desc', 'min_lvl', 'max_lvl'], 'publishers': ['pub_id', 'pub_name', 'city', 'state', 'country'], 'employee': ['emp_id', 'fname', 'minit', 'lname', 'job_id', 'job_lvl', 'pub_id', 'hire_date'], 'pub_info': ['pub_id', 'logo', 'pr_info'], 'stores': ['stor_id', 'stor_name', 'stor_address', 'city', 'state', 'zip'], 'discounts': ['discounttype', 'stor_id', 'lowqty', 'highqty', 'discount'], 'titles': ['title_id', 'title', 'type', 'pub_id', 'price', 'advance', 'royalty', 'ytd_sales', 'notes', 'pubdate'], 'roysched': ['title_id', 'lorange', 'hirange', 'royalty'], 'sales': ['stor_id', 'ord_num', 'ord_date', 'qty', 'payterms', 'title_id'], 'titleauthor': ['au_id', 'title_id', 'au_ord', 'royaltyper']}

book_publishing_company

Given the following database schema and relevant knowledge, use SQL to answer the question. Schema: Table authors, columns = [au_id,au_lname,au_fname,phone,address,city,state,zip,contract] Table discounts, columns = [discounttype,stor_id,lowqty,highqty,discount] Table employee, columns = [emp_id,fname,minit,lname,job_id,job_lvl,pub_id,hire_date] Table jobs, columns = [job_id,job_desc,min_lvl,max_lvl] Table pub_info, columns = [pub_id,logo,pr_info] Table publishers, columns = [pub_id,pub_name,city,state,country] Table roysched, columns = [title_id,lorange,hirange,royalty] Table sales, columns = [stor_id,ord_num,ord_date,qty,payterms,title_id] Table stores, columns = [stor_id,stor_name,stor_address,city,state,zip] Table titleauthor, columns = [*,au_id,title_id,au_ord,royaltyper] Table titles, columns = [title_id,title,type,pub_id,price,advance,royalty,ytd_sales,notes,pubdate] Foreign_keys = [employee.pub_id = publishers.pub_id,employee.job_id = jobs.job_id,pub_info.pub_id = publishers.pub_id,discounts.stor_id = stores.stor_id,titles.pub_id = publishers.pub_id,roysched.title_id = titles.title_id,sales.title_id = titles.title_id,sales.stor_id = stores.stor_id,titleauthor.title_id = titles.title_id,titleauthor.au_id = authors.au_id] Knowledge: qty is abbreviation for quantity; bestseller means with the most sales quantity; MAX(qty) Question: What's the royalty for the bestseller book?

SELECT royalty FROM titles ORDER BY ytd_sales DESC LIMIT 1

{'authors': ['au_id', 'au_lname', 'au_fname', 'phone', 'address', 'city', 'state', 'zip', 'contract'], 'jobs': ['job_id', 'job_desc', 'min_lvl', 'max_lvl'], 'publishers': ['pub_id', 'pub_name', 'city', 'state', 'country'], 'employee': ['emp_id', 'fname', 'minit', 'lname', 'job_id', 'job_lvl', 'pub_id', 'hire_date'], 'pub_info': ['pub_id', 'logo', 'pr_info'], 'stores': ['stor_id', 'stor_name', 'stor_address', 'city', 'state', 'zip'], 'discounts': ['discounttype', 'stor_id', 'lowqty', 'highqty', 'discount'], 'titles': ['title_id', 'title', 'type', 'pub_id', 'price', 'advance', 'royalty', 'ytd_sales', 'notes', 'pubdate'], 'roysched': ['title_id', 'lorange', 'hirange', 'royalty'], 'sales': ['stor_id', 'ord_num', 'ord_date', 'qty', 'payterms', 'title_id'], 'titleauthor': ['au_id', 'title_id', 'au_ord', 'royaltyper']}

book_publishing_company

Given the following database schema and relevant knowledge, use SQL to answer the question. Schema: Table authors, columns = [au_id,au_lname,au_fname,phone,address,city,state,zip,contract] Table discounts, columns = [discounttype,stor_id,lowqty,highqty,discount] Table employee, columns = [emp_id,fname,minit,lname,job_id,job_lvl,pub_id,hire_date] Table jobs, columns = [job_id,job_desc,min_lvl,max_lvl] Table pub_info, columns = [pub_id,logo,pr_info] Table publishers, columns = [pub_id,pub_name,city,state,country] Table roysched, columns = [title_id,lorange,hirange,royalty] Table sales, columns = [stor_id,ord_num,ord_date,qty,payterms,title_id] Table stores, columns = [stor_id,stor_name,stor_address,city,state,zip] Table titleauthor, columns = [*,au_id,title_id,au_ord,royaltyper] Table titles, columns = [title_id,title,type,pub_id,price,advance,royalty,ytd_sales,notes,pubdate] Foreign_keys = [employee.pub_id = publishers.pub_id,employee.job_id = jobs.job_id,pub_info.pub_id = publishers.pub_id,discounts.stor_id = stores.stor_id,titles.pub_id = publishers.pub_id,roysched.title_id = titles.title_id,sales.title_id = titles.title_id,sales.stor_id = stores.stor_id,titleauthor.title_id = titles.title_id,titleauthor.au_id = authors.au_id] Knowledge: job level refers to job_lvl Question: Which job level is O'Rourke at?

SELECT job_lvl FROM employee WHERE lname = 'O''Rourke'

{'authors': ['au_id', 'au_lname', 'au_fname', 'phone', 'address', 'city', 'state', 'zip', 'contract'], 'jobs': ['job_id', 'job_desc', 'min_lvl', 'max_lvl'], 'publishers': ['pub_id', 'pub_name', 'city', 'state', 'country'], 'employee': ['emp_id', 'fname', 'minit', 'lname', 'job_id', 'job_lvl', 'pub_id', 'hire_date'], 'pub_info': ['pub_id', 'logo', 'pr_info'], 'stores': ['stor_id', 'stor_name', 'stor_address', 'city', 'state', 'zip'], 'discounts': ['discounttype', 'stor_id', 'lowqty', 'highqty', 'discount'], 'titles': ['title_id', 'title', 'type', 'pub_id', 'price', 'advance', 'royalty', 'ytd_sales', 'notes', 'pubdate'], 'roysched': ['title_id', 'lorange', 'hirange', 'royalty'], 'sales': ['stor_id', 'ord_num', 'ord_date', 'qty', 'payterms', 'title_id'], 'titleauthor': ['au_id', 'title_id', 'au_ord', 'royaltyper']}

book_publishing_company

Given the following database schema and relevant knowledge, use SQL to answer the question. Schema: Table authors, columns = [au_id,au_lname,au_fname,phone,address,city,state,zip,contract] Table discounts, columns = [discounttype,stor_id,lowqty,highqty,discount] Table employee, columns = [emp_id,fname,minit,lname,job_id,job_lvl,pub_id,hire_date] Table jobs, columns = [job_id,job_desc,min_lvl,max_lvl] Table pub_info, columns = [pub_id,logo,pr_info] Table publishers, columns = [pub_id,pub_name,city,state,country] Table roysched, columns = [title_id,lorange,hirange,royalty] Table sales, columns = [stor_id,ord_num,ord_date,qty,payterms,title_id] Table stores, columns = [stor_id,stor_name,stor_address,city,state,zip] Table titleauthor, columns = [*,au_id,title_id,au_ord,royaltyper] Table titles, columns = [title_id,title,type,pub_id,price,advance,royalty,ytd_sales,notes,pubdate] Foreign_keys = [employee.pub_id = publishers.pub_id,employee.job_id = jobs.job_id,pub_info.pub_id = publishers.pub_id,discounts.stor_id = stores.stor_id,titles.pub_id = publishers.pub_id,roysched.title_id = titles.title_id,sales.title_id = titles.title_id,sales.stor_id = stores.stor_id,titleauthor.title_id = titles.title_id,titleauthor.au_id = authors.au_id] Knowledge: highest employee refers to employee with the highest job level; MAX(job_lvl) Question: Show me the employ id of the highest employee who doesn't have a middle name.

SELECT emp_id FROM employee WHERE minit = '' ORDER BY job_lvl DESC LIMIT 1

{'authors': ['au_id', 'au_lname', 'au_fname', 'phone', 'address', 'city', 'state', 'zip', 'contract'], 'jobs': ['job_id', 'job_desc', 'min_lvl', 'max_lvl'], 'publishers': ['pub_id', 'pub_name', 'city', 'state', 'country'], 'employee': ['emp_id', 'fname', 'minit', 'lname', 'job_id', 'job_lvl', 'pub_id', 'hire_date'], 'pub_info': ['pub_id', 'logo', 'pr_info'], 'stores': ['stor_id', 'stor_name', 'stor_address', 'city', 'state', 'zip'], 'discounts': ['discounttype', 'stor_id', 'lowqty', 'highqty', 'discount'], 'titles': ['title_id', 'title', 'type', 'pub_id', 'price', 'advance', 'royalty', 'ytd_sales', 'notes', 'pubdate'], 'roysched': ['title_id', 'lorange', 'hirange', 'royalty'], 'sales': ['stor_id', 'ord_num', 'ord_date', 'qty', 'payterms', 'title_id'], 'titleauthor': ['au_id', 'title_id', 'au_ord', 'royaltyper']}

book_publishing_company

Given the following database schema and relevant knowledge, use SQL to answer the question. Schema: Table authors, columns = [au_id,au_lname,au_fname,phone,address,city,state,zip,contract] Table discounts, columns = [discounttype,stor_id,lowqty,highqty,discount] Table employee, columns = [emp_id,fname,minit,lname,job_id,job_lvl,pub_id,hire_date] Table jobs, columns = [job_id,job_desc,min_lvl,max_lvl] Table pub_info, columns = [pub_id,logo,pr_info] Table publishers, columns = [pub_id,pub_name,city,state,country] Table roysched, columns = [title_id,lorange,hirange,royalty] Table sales, columns = [stor_id,ord_num,ord_date,qty,payterms,title_id] Table stores, columns = [stor_id,stor_name,stor_address,city,state,zip] Table titleauthor, columns = [*,au_id,title_id,au_ord,royaltyper] Table titles, columns = [title_id,title,type,pub_id,price,advance,royalty,ytd_sales,notes,pubdate] Foreign_keys = [employee.pub_id = publishers.pub_id,employee.job_id = jobs.job_id,pub_info.pub_id = publishers.pub_id,discounts.stor_id = stores.stor_id,titles.pub_id = publishers.pub_id,roysched.title_id = titles.title_id,sales.title_id = titles.title_id,sales.stor_id = stores.stor_id,titleauthor.title_id = titles.title_id,titleauthor.au_id = authors.au_id] Knowledge: contract = 1 means on contract; contract = 0 means not on contract Question: Is the author of "Sushi, Anyone?" on the contract?

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?'

{'authors': ['au_id', 'au_lname', 'au_fname', 'phone', 'address', 'city', 'state', 'zip', 'contract'], 'jobs': ['job_id', 'job_desc', 'min_lvl', 'max_lvl'], 'publishers': ['pub_id', 'pub_name', 'city', 'state', 'country'], 'employee': ['emp_id', 'fname', 'minit', 'lname', 'job_id', 'job_lvl', 'pub_id', 'hire_date'], 'pub_info': ['pub_id', 'logo', 'pr_info'], 'stores': ['stor_id', 'stor_name', 'stor_address', 'city', 'state', 'zip'], 'discounts': ['discounttype', 'stor_id', 'lowqty', 'highqty', 'discount'], 'titles': ['title_id', 'title', 'type', 'pub_id', 'price', 'advance', 'royalty', 'ytd_sales', 'notes', 'pubdate'], 'roysched': ['title_id', 'lorange', 'hirange', 'royalty'], 'sales': ['stor_id', 'ord_num', 'ord_date', 'qty', 'payterms', 'title_id'], 'titleauthor': ['au_id', 'title_id', 'au_ord', 'royaltyper']}

book_publishing_company

Given the following database schema and relevant knowledge, use SQL to answer the question. Schema: Table authors, columns = [au_id,au_lname,au_fname,phone,address,city,state,zip,contract] Table discounts, columns = [discounttype,stor_id,lowqty,highqty,discount] Table employee, columns = [emp_id,fname,minit,lname,job_id,job_lvl,pub_id,hire_date] Table jobs, columns = [job_id,job_desc,min_lvl,max_lvl] Table pub_info, columns = [pub_id,logo,pr_info] Table publishers, columns = [pub_id,pub_name,city,state,country] Table roysched, columns = [title_id,lorange,hirange,royalty] Table sales, columns = [stor_id,ord_num,ord_date,qty,payterms,title_id] Table stores, columns = [stor_id,stor_name,stor_address,city,state,zip] Table titleauthor, columns = [*,au_id,title_id,au_ord,royaltyper] Table titles, columns = [title_id,title,type,pub_id,price,advance,royalty,ytd_sales,notes,pubdate] Foreign_keys = [employee.pub_id = publishers.pub_id,employee.job_id = jobs.job_id,pub_info.pub_id = publishers.pub_id,discounts.stor_id = stores.stor_id,titles.pub_id = publishers.pub_id,roysched.title_id = titles.title_id,sales.title_id = titles.title_id,sales.stor_id = stores.stor_id,titleauthor.title_id = titles.title_id,titleauthor.au_id = authors.au_id] Knowledge: highest job level refers to MAX(job_lvl) Question: Which publisher had the highest job level? Give his/her full name.

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

{'authors': ['au_id', 'au_lname', 'au_fname', 'phone', 'address', 'city', 'state', 'zip', 'contract'], 'jobs': ['job_id', 'job_desc', 'min_lvl', 'max_lvl'], 'publishers': ['pub_id', 'pub_name', 'city', 'state', 'country'], 'employee': ['emp_id', 'fname', 'minit', 'lname', 'job_id', 'job_lvl', 'pub_id', 'hire_date'], 'pub_info': ['pub_id', 'logo', 'pr_info'], 'stores': ['stor_id', 'stor_name', 'stor_address', 'city', 'state', 'zip'], 'discounts': ['discounttype', 'stor_id', 'lowqty', 'highqty', 'discount'], 'titles': ['title_id', 'title', 'type', 'pub_id', 'price', 'advance', 'royalty', 'ytd_sales', 'notes', 'pubdate'], 'roysched': ['title_id', 'lorange', 'hirange', 'royalty'], 'sales': ['stor_id', 'ord_num', 'ord_date', 'qty', 'payterms', 'title_id'], 'titleauthor': ['au_id', 'title_id', 'au_ord', 'royaltyper']}

book_publishing_company

Given the following database schema and relevant knowledge, use SQL to answer the question. Schema: Table authors, columns = [au_id,au_lname,au_fname,phone,address,city,state,zip,contract] Table discounts, columns = [discounttype,stor_id,lowqty,highqty,discount] Table employee, columns = [emp_id,fname,minit,lname,job_id,job_lvl,pub_id,hire_date] Table jobs, columns = [job_id,job_desc,min_lvl,max_lvl] Table pub_info, columns = [pub_id,logo,pr_info] Table publishers, columns = [pub_id,pub_name,city,state,country] Table roysched, columns = [title_id,lorange,hirange,royalty] Table sales, columns = [stor_id,ord_num,ord_date,qty,payterms,title_id] Table stores, columns = [stor_id,stor_name,stor_address,city,state,zip] Table titleauthor, columns = [*,au_id,title_id,au_ord,royaltyper] Table titles, columns = [title_id,title,type,pub_id,price,advance,royalty,ytd_sales,notes,pubdate] Foreign_keys = [employee.pub_id = publishers.pub_id,employee.job_id = jobs.job_id,pub_info.pub_id = publishers.pub_id,discounts.stor_id = stores.stor_id,titles.pub_id = publishers.pub_id,roysched.title_id = titles.title_id,sales.title_id = titles.title_id,sales.stor_id = stores.stor_id,titleauthor.title_id = titles.title_id,titleauthor.au_id = authors.au_id] Knowledge: job title means job description which refers to job_desc Question: What's Pedro S Afonso's job title?

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'

{'authors': ['au_id', 'au_lname', 'au_fname', 'phone', 'address', 'city', 'state', 'zip', 'contract'], 'jobs': ['job_id', 'job_desc', 'min_lvl', 'max_lvl'], 'publishers': ['pub_id', 'pub_name', 'city', 'state', 'country'], 'employee': ['emp_id', 'fname', 'minit', 'lname', 'job_id', 'job_lvl', 'pub_id', 'hire_date'], 'pub_info': ['pub_id', 'logo', 'pr_info'], 'stores': ['stor_id', 'stor_name', 'stor_address', 'city', 'state', 'zip'], 'discounts': ['discounttype', 'stor_id', 'lowqty', 'highqty', 'discount'], 'titles': ['title_id', 'title', 'type', 'pub_id', 'price', 'advance', 'royalty', 'ytd_sales', 'notes', 'pubdate'], 'roysched': ['title_id', 'lorange', 'hirange', 'royalty'], 'sales': ['stor_id', 'ord_num', 'ord_date', 'qty', 'payterms', 'title_id'], 'titleauthor': ['au_id', 'title_id', 'au_ord', 'royaltyper']}

book_publishing_company

Given the following database schema and relevant knowledge, use SQL to answer the question. Schema: Table authors, columns = [au_id,au_lname,au_fname,phone,address,city,state,zip,contract] Table discounts, columns = [discounttype,stor_id,lowqty,highqty,discount] Table employee, columns = [emp_id,fname,minit,lname,job_id,job_lvl,pub_id,hire_date] Table jobs, columns = [job_id,job_desc,min_lvl,max_lvl] Table pub_info, columns = [pub_id,logo,pr_info] Table publishers, columns = [pub_id,pub_name,city,state,country] Table roysched, columns = [title_id,lorange,hirange,royalty] Table sales, columns = [stor_id,ord_num,ord_date,qty,payterms,title_id] Table stores, columns = [stor_id,stor_name,stor_address,city,state,zip] Table titleauthor, columns = [*,au_id,title_id,au_ord,royaltyper] Table titles, columns = [title_id,title,type,pub_id,price,advance,royalty,ytd_sales,notes,pubdate] Foreign_keys = [employee.pub_id = publishers.pub_id,employee.job_id = jobs.job_id,pub_info.pub_id = publishers.pub_id,discounts.stor_id = stores.stor_id,titles.pub_id = publishers.pub_id,roysched.title_id = titles.title_id,sales.title_id = titles.title_id,sales.stor_id = stores.stor_id,titleauthor.title_id = titles.title_id,titleauthor.au_id = authors.au_id] Knowledge: max level for his position refers to max_lvl; job level refers to job_lvl; level left to reach the max = SUBTRACT(max_lvl, job_lvl) 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?

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'

{'authors': ['au_id', 'au_lname', 'au_fname', 'phone', 'address', 'city', 'state', 'zip', 'contract'], 'jobs': ['job_id', 'job_desc', 'min_lvl', 'max_lvl'], 'publishers': ['pub_id', 'pub_name', 'city', 'state', 'country'], 'employee': ['emp_id', 'fname', 'minit', 'lname', 'job_id', 'job_lvl', 'pub_id', 'hire_date'], 'pub_info': ['pub_id', 'logo', 'pr_info'], 'stores': ['stor_id', 'stor_name', 'stor_address', 'city', 'state', 'zip'], 'discounts': ['discounttype', 'stor_id', 'lowqty', 'highqty', 'discount'], 'titles': ['title_id', 'title', 'type', 'pub_id', 'price', 'advance', 'royalty', 'ytd_sales', 'notes', 'pubdate'], 'roysched': ['title_id', 'lorange', 'hirange', 'royalty'], 'sales': ['stor_id', 'ord_num', 'ord_date', 'qty', 'payterms', 'title_id'], 'titleauthor': ['au_id', 'title_id', 'au_ord', 'royaltyper']}

book_publishing_company

Given the following database schema and relevant knowledge, use SQL to answer the question. Schema: Table authors, columns = [au_id,au_lname,au_fname,phone,address,city,state,zip,contract] Table discounts, columns = [discounttype,stor_id,lowqty,highqty,discount] Table employee, columns = [emp_id,fname,minit,lname,job_id,job_lvl,pub_id,hire_date] Table jobs, columns = [job_id,job_desc,min_lvl,max_lvl] Table pub_info, columns = [pub_id,logo,pr_info] Table publishers, columns = [pub_id,pub_name,city,state,country] Table roysched, columns = [title_id,lorange,hirange,royalty] Table sales, columns = [stor_id,ord_num,ord_date,qty,payterms,title_id] Table stores, columns = [stor_id,stor_name,stor_address,city,state,zip] Table titleauthor, columns = [*,au_id,title_id,au_ord,royaltyper] Table titles, columns = [title_id,title,type,pub_id,price,advance,royalty,ytd_sales,notes,pubdate] Foreign_keys = [employee.pub_id = publishers.pub_id,employee.job_id = jobs.job_id,pub_info.pub_id = publishers.pub_id,discounts.stor_id = stores.stor_id,titles.pub_id = publishers.pub_id,roysched.title_id = titles.title_id,sales.title_id = titles.title_id,sales.stor_id = stores.stor_id,titleauthor.title_id = titles.title_id,titleauthor.au_id = authors.au_id] Knowledge: order happened on refers to ord_date Question: What's on the notes for the order happened on 1994/9/14?

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'

{'authors': ['au_id', 'au_lname', 'au_fname', 'phone', 'address', 'city', 'state', 'zip', 'contract'], 'jobs': ['job_id', 'job_desc', 'min_lvl', 'max_lvl'], 'publishers': ['pub_id', 'pub_name', 'city', 'state', 'country'], 'employee': ['emp_id', 'fname', 'minit', 'lname', 'job_id', 'job_lvl', 'pub_id', 'hire_date'], 'pub_info': ['pub_id', 'logo', 'pr_info'], 'stores': ['stor_id', 'stor_name', 'stor_address', 'city', 'state', 'zip'], 'discounts': ['discounttype', 'stor_id', 'lowqty', 'highqty', 'discount'], 'titles': ['title_id', 'title', 'type', 'pub_id', 'price', 'advance', 'royalty', 'ytd_sales', 'notes', 'pubdate'], 'roysched': ['title_id', 'lorange', 'hirange', 'royalty'], 'sales': ['stor_id', 'ord_num', 'ord_date', 'qty', 'payterms', 'title_id'], 'titleauthor': ['au_id', 'title_id', 'au_ord', 'royaltyper']}

book_publishing_company

Given the following database schema and relevant knowledge, use SQL to answer the question. Schema: Table authors, columns = [au_id,au_lname,au_fname,phone,address,city,state,zip,contract] Table discounts, columns = [discounttype,stor_id,lowqty,highqty,discount] Table employee, columns = [emp_id,fname,minit,lname,job_id,job_lvl,pub_id,hire_date] Table jobs, columns = [job_id,job_desc,min_lvl,max_lvl] Table pub_info, columns = [pub_id,logo,pr_info] Table publishers, columns = [pub_id,pub_name,city,state,country] Table roysched, columns = [title_id,lorange,hirange,royalty] Table sales, columns = [stor_id,ord_num,ord_date,qty,payterms,title_id] Table stores, columns = [stor_id,stor_name,stor_address,city,state,zip] Table titleauthor, columns = [*,au_id,title_id,au_ord,royaltyper] Table titles, columns = [title_id,title,type,pub_id,price,advance,royalty,ytd_sales,notes,pubdate] Foreign_keys = [employee.pub_id = publishers.pub_id,employee.job_id = jobs.job_id,pub_info.pub_id = publishers.pub_id,discounts.stor_id = stores.stor_id,titles.pub_id = publishers.pub_id,roysched.title_id = titles.title_id,sales.title_id = titles.title_id,sales.stor_id = stores.stor_id,titleauthor.title_id = titles.title_id,titleauthor.au_id = authors.au_id] Knowledge: sold on refers to ord_date Question: List the type of the book for the order which was sold on 1993/5/29.

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'

{'authors': ['au_id', 'au_lname', 'au_fname', 'phone', 'address', 'city', 'state', 'zip', 'contract'], 'jobs': ['job_id', 'job_desc', 'min_lvl', 'max_lvl'], 'publishers': ['pub_id', 'pub_name', 'city', 'state', 'country'], 'employee': ['emp_id', 'fname', 'minit', 'lname', 'job_id', 'job_lvl', 'pub_id', 'hire_date'], 'pub_info': ['pub_id', 'logo', 'pr_info'], 'stores': ['stor_id', 'stor_name', 'stor_address', 'city', 'state', 'zip'], 'discounts': ['discounttype', 'stor_id', 'lowqty', 'highqty', 'discount'], 'titles': ['title_id', 'title', 'type', 'pub_id', 'price', 'advance', 'royalty', 'ytd_sales', 'notes', 'pubdate'], 'roysched': ['title_id', 'lorange', 'hirange', 'royalty'], 'sales': ['stor_id', 'ord_num', 'ord_date', 'qty', 'payterms', 'title_id'], 'titleauthor': ['au_id', 'title_id', 'au_ord', 'royaltyper']}

book_publishing_company

Given the following database schema and relevant knowledge, use SQL to answer the question. Schema: Table authors, columns = [au_id,au_lname,au_fname,phone,address,city,state,zip,contract] Table discounts, columns = [discounttype,stor_id,lowqty,highqty,discount] Table employee, columns = [emp_id,fname,minit,lname,job_id,job_lvl,pub_id,hire_date] Table jobs, columns = [job_id,job_desc,min_lvl,max_lvl] Table pub_info, columns = [pub_id,logo,pr_info] Table publishers, columns = [pub_id,pub_name,city,state,country] Table roysched, columns = [title_id,lorange,hirange,royalty] Table sales, columns = [stor_id,ord_num,ord_date,qty,payterms,title_id] Table stores, columns = [stor_id,stor_name,stor_address,city,state,zip] Table titleauthor, columns = [*,au_id,title_id,au_ord,royaltyper] Table titles, columns = [title_id,title,type,pub_id,price,advance,royalty,ytd_sales,notes,pubdate] Foreign_keys = [employee.pub_id = publishers.pub_id,employee.job_id = jobs.job_id,pub_info.pub_id = publishers.pub_id,discounts.stor_id = stores.stor_id,titles.pub_id = publishers.pub_id,roysched.title_id = titles.title_id,sales.title_id = titles.title_id,sales.stor_id = stores.stor_id,titleauthor.title_id = titles.title_id,titleauthor.au_id = authors.au_id] Knowledge: French publisher means publisher in France where country = 'France' Question: Tell me about the information of the French publisher.

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'

{'authors': ['au_id', 'au_lname', 'au_fname', 'phone', 'address', 'city', 'state', 'zip', 'contract'], 'jobs': ['job_id', 'job_desc', 'min_lvl', 'max_lvl'], 'publishers': ['pub_id', 'pub_name', 'city', 'state', 'country'], 'employee': ['emp_id', 'fname', 'minit', 'lname', 'job_id', 'job_lvl', 'pub_id', 'hire_date'], 'pub_info': ['pub_id', 'logo', 'pr_info'], 'stores': ['stor_id', 'stor_name', 'stor_address', 'city', 'state', 'zip'], 'discounts': ['discounttype', 'stor_id', 'lowqty', 'highqty', 'discount'], 'titles': ['title_id', 'title', 'type', 'pub_id', 'price', 'advance', 'royalty', 'ytd_sales', 'notes', 'pubdate'], 'roysched': ['title_id', 'lorange', 'hirange', 'royalty'], 'sales': ['stor_id', 'ord_num', 'ord_date', 'qty', 'payterms', 'title_id'], 'titleauthor': ['au_id', 'title_id', 'au_ord', 'royaltyper']}

book_publishing_company

Given the following database schema and relevant knowledge, use SQL to answer the question. Schema: Table authors, columns = [au_id,au_lname,au_fname,phone,address,city,state,zip,contract] Table discounts, columns = [discounttype,stor_id,lowqty,highqty,discount] Table employee, columns = [emp_id,fname,minit,lname,job_id,job_lvl,pub_id,hire_date] Table jobs, columns = [job_id,job_desc,min_lvl,max_lvl] Table pub_info, columns = [pub_id,logo,pr_info] Table publishers, columns = [pub_id,pub_name,city,state,country] Table roysched, columns = [title_id,lorange,hirange,royalty] Table sales, columns = [stor_id,ord_num,ord_date,qty,payterms,title_id] Table stores, columns = [stor_id,stor_name,stor_address,city,state,zip] Table titleauthor, columns = [*,au_id,title_id,au_ord,royaltyper] Table titles, columns = [title_id,title,type,pub_id,price,advance,royalty,ytd_sales,notes,pubdate] Foreign_keys = [employee.pub_id = publishers.pub_id,employee.job_id = jobs.job_id,pub_info.pub_id = publishers.pub_id,discounts.stor_id = stores.stor_id,titles.pub_id = publishers.pub_id,roysched.title_id = titles.title_id,sales.title_id = titles.title_id,sales.stor_id = stores.stor_id,titleauthor.title_id = titles.title_id,titleauthor.au_id = authors.au_id] Knowledge: publisher name refers to pub_name; Silicon Valley Gastronomic Treats is the title of a book Question: What's the publisher of the book "Silicon Valley Gastronomic Treats"? Give the publisher's name.

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'

{'authors': ['au_id', 'au_lname', 'au_fname', 'phone', 'address', 'city', 'state', 'zip', 'contract'], 'jobs': ['job_id', 'job_desc', 'min_lvl', 'max_lvl'], 'publishers': ['pub_id', 'pub_name', 'city', 'state', 'country'], 'employee': ['emp_id', 'fname', 'minit', 'lname', 'job_id', 'job_lvl', 'pub_id', 'hire_date'], 'pub_info': ['pub_id', 'logo', 'pr_info'], 'stores': ['stor_id', 'stor_name', 'stor_address', 'city', 'state', 'zip'], 'discounts': ['discounttype', 'stor_id', 'lowqty', 'highqty', 'discount'], 'titles': ['title_id', 'title', 'type', 'pub_id', 'price', 'advance', 'royalty', 'ytd_sales', 'notes', 'pubdate'], 'roysched': ['title_id', 'lorange', 'hirange', 'royalty'], 'sales': ['stor_id', 'ord_num', 'ord_date', 'qty', 'payterms', 'title_id'], 'titleauthor': ['au_id', 'title_id', 'au_ord', 'royaltyper']}

book_publishing_company

Given the following database schema and relevant knowledge, use SQL to answer the question. Schema: Table authors, columns = [au_id,au_lname,au_fname,phone,address,city,state,zip,contract] Table discounts, columns = [discounttype,stor_id,lowqty,highqty,discount] Table employee, columns = [emp_id,fname,minit,lname,job_id,job_lvl,pub_id,hire_date] Table jobs, columns = [job_id,job_desc,min_lvl,max_lvl] Table pub_info, columns = [pub_id,logo,pr_info] Table publishers, columns = [pub_id,pub_name,city,state,country] Table roysched, columns = [title_id,lorange,hirange,royalty] Table sales, columns = [stor_id,ord_num,ord_date,qty,payterms,title_id] Table stores, columns = [stor_id,stor_name,stor_address,city,state,zip] Table titleauthor, columns = [*,au_id,title_id,au_ord,royaltyper] Table titles, columns = [title_id,title,type,pub_id,price,advance,royalty,ytd_sales,notes,pubdate] Foreign_keys = [employee.pub_id = publishers.pub_id,employee.job_id = jobs.job_id,pub_info.pub_id = publishers.pub_id,discounts.stor_id = stores.stor_id,titles.pub_id = publishers.pub_id,roysched.title_id = titles.title_id,sales.title_id = titles.title_id,sales.stor_id = stores.stor_id,titleauthor.title_id = titles.title_id,titleauthor.au_id = authors.au_id] Knowledge: Question: Which city did Victoria P Ashworth work in?

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'

{'authors': ['au_id', 'au_lname', 'au_fname', 'phone', 'address', 'city', 'state', 'zip', 'contract'], 'jobs': ['job_id', 'job_desc', 'min_lvl', 'max_lvl'], 'publishers': ['pub_id', 'pub_name', 'city', 'state', 'country'], 'employee': ['emp_id', 'fname', 'minit', 'lname', 'job_id', 'job_lvl', 'pub_id', 'hire_date'], 'pub_info': ['pub_id', 'logo', 'pr_info'], 'stores': ['stor_id', 'stor_name', 'stor_address', 'city', 'state', 'zip'], 'discounts': ['discounttype', 'stor_id', 'lowqty', 'highqty', 'discount'], 'titles': ['title_id', 'title', 'type', 'pub_id', 'price', 'advance', 'royalty', 'ytd_sales', 'notes', 'pubdate'], 'roysched': ['title_id', 'lorange', 'hirange', 'royalty'], 'sales': ['stor_id', 'ord_num', 'ord_date', 'qty', 'payterms', 'title_id'], 'titleauthor': ['au_id', 'title_id', 'au_ord', 'royaltyper']}

book_publishing_company

Given the following database schema and relevant knowledge, use SQL to answer the question. Schema: Table authors, columns = [au_id,au_lname,au_fname,phone,address,city,state,zip,contract] Table discounts, columns = [discounttype,stor_id,lowqty,highqty,discount] Table employee, columns = [emp_id,fname,minit,lname,job_id,job_lvl,pub_id,hire_date] Table jobs, columns = [job_id,job_desc,min_lvl,max_lvl] Table pub_info, columns = [pub_id,logo,pr_info] Table publishers, columns = [pub_id,pub_name,city,state,country] Table roysched, columns = [title_id,lorange,hirange,royalty] Table sales, columns = [stor_id,ord_num,ord_date,qty,payterms,title_id] Table stores, columns = [stor_id,stor_name,stor_address,city,state,zip] Table titleauthor, columns = [*,au_id,title_id,au_ord,royaltyper] Table titles, columns = [title_id,title,type,pub_id,price,advance,royalty,ytd_sales,notes,pubdate] Foreign_keys = [employee.pub_id = publishers.pub_id,employee.job_id = jobs.job_id,pub_info.pub_id = publishers.pub_id,discounts.stor_id = stores.stor_id,titles.pub_id = publishers.pub_id,roysched.title_id = titles.title_id,sales.title_id = titles.title_id,sales.stor_id = stores.stor_id,titleauthor.title_id = titles.title_id,titleauthor.au_id = authors.au_id] Knowledge: Remulade is a city; sales in the store refers to ord_num Question: How many sales did the store in Remulade make?

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'

{'authors': ['au_id', 'au_lname', 'au_fname', 'phone', 'address', 'city', 'state', 'zip', 'contract'], 'jobs': ['job_id', 'job_desc', 'min_lvl', 'max_lvl'], 'publishers': ['pub_id', 'pub_name', 'city', 'state', 'country'], 'employee': ['emp_id', 'fname', 'minit', 'lname', 'job_id', 'job_lvl', 'pub_id', 'hire_date'], 'pub_info': ['pub_id', 'logo', 'pr_info'], 'stores': ['stor_id', 'stor_name', 'stor_address', 'city', 'state', 'zip'], 'discounts': ['discounttype', 'stor_id', 'lowqty', 'highqty', 'discount'], 'titles': ['title_id', 'title', 'type', 'pub_id', 'price', 'advance', 'royalty', 'ytd_sales', 'notes', 'pubdate'], 'roysched': ['title_id', 'lorange', 'hirange', 'royalty'], 'sales': ['stor_id', 'ord_num', 'ord_date', 'qty', 'payterms', 'title_id'], 'titleauthor': ['au_id', 'title_id', 'au_ord', 'royaltyper']}

book_publishing_company

Given the following database schema and relevant knowledge, use SQL to answer the question. Schema: Table authors, columns = [au_id,au_lname,au_fname,phone,address,city,state,zip,contract] Table discounts, columns = [discounttype,stor_id,lowqty,highqty,discount] Table employee, columns = [emp_id,fname,minit,lname,job_id,job_lvl,pub_id,hire_date] Table jobs, columns = [job_id,job_desc,min_lvl,max_lvl] Table pub_info, columns = [pub_id,logo,pr_info] Table publishers, columns = [pub_id,pub_name,city,state,country] Table roysched, columns = [title_id,lorange,hirange,royalty] Table sales, columns = [stor_id,ord_num,ord_date,qty,payterms,title_id] Table stores, columns = [stor_id,stor_name,stor_address,city,state,zip] Table titleauthor, columns = [*,au_id,title_id,au_ord,royaltyper] Table titles, columns = [title_id,title,type,pub_id,price,advance,royalty,ytd_sales,notes,pubdate] Foreign_keys = [employee.pub_id = publishers.pub_id,employee.job_id = jobs.job_id,pub_info.pub_id = publishers.pub_id,discounts.stor_id = stores.stor_id,titles.pub_id = publishers.pub_id,roysched.title_id = titles.title_id,sales.title_id = titles.title_id,sales.stor_id = stores.stor_id,titleauthor.title_id = titles.title_id,titleauthor.au_id = authors.au_id] Knowledge: qty is abbreviation for quantity; Fremont and Portland are name of city; sell in 1993 refers to YEAR(ord_date) = 1993; percentage = DIVIDE( SUBTRACT(SUM(qty where city = ‘Fremont’ and year(ord_date = 1993)), SUM(qty where city = ‘Portland’ and year(ord_date = 1993))), SUM(qty where city = ‘Fremont’ and year(ord_date = 1993)) *100 Question: For the quantities, what percent more did the store in Fremont sell than the store in Portland in 1993?

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'

{'authors': ['au_id', 'au_lname', 'au_fname', 'phone', 'address', 'city', 'state', 'zip', 'contract'], 'jobs': ['job_id', 'job_desc', 'min_lvl', 'max_lvl'], 'publishers': ['pub_id', 'pub_name', 'city', 'state', 'country'], 'employee': ['emp_id', 'fname', 'minit', 'lname', 'job_id', 'job_lvl', 'pub_id', 'hire_date'], 'pub_info': ['pub_id', 'logo', 'pr_info'], 'stores': ['stor_id', 'stor_name', 'stor_address', 'city', 'state', 'zip'], 'discounts': ['discounttype', 'stor_id', 'lowqty', 'highqty', 'discount'], 'titles': ['title_id', 'title', 'type', 'pub_id', 'price', 'advance', 'royalty', 'ytd_sales', 'notes', 'pubdate'], 'roysched': ['title_id', 'lorange', 'hirange', 'royalty'], 'sales': ['stor_id', 'ord_num', 'ord_date', 'qty', 'payterms', 'title_id'], 'titleauthor': ['au_id', 'title_id', 'au_ord', 'royaltyper']}

book_publishing_company

Given the following database schema and relevant knowledge, use SQL to answer the question. Schema: Table authors, columns = [au_id,au_lname,au_fname,phone,address,city,state,zip,contract] Table discounts, columns = [discounttype,stor_id,lowqty,highqty,discount] Table employee, columns = [emp_id,fname,minit,lname,job_id,job_lvl,pub_id,hire_date] Table jobs, columns = [job_id,job_desc,min_lvl,max_lvl] Table pub_info, columns = [pub_id,logo,pr_info] Table publishers, columns = [pub_id,pub_name,city,state,country] Table roysched, columns = [title_id,lorange,hirange,royalty] Table sales, columns = [stor_id,ord_num,ord_date,qty,payterms,title_id] Table stores, columns = [stor_id,stor_name,stor_address,city,state,zip] Table titleauthor, columns = [*,au_id,title_id,au_ord,royaltyper] Table titles, columns = [title_id,title,type,pub_id,price,advance,royalty,ytd_sales,notes,pubdate] Foreign_keys = [employee.pub_id = publishers.pub_id,employee.job_id = jobs.job_id,pub_info.pub_id = publishers.pub_id,discounts.stor_id = stores.stor_id,titles.pub_id = publishers.pub_id,roysched.title_id = titles.title_id,sales.title_id = titles.title_id,sales.stor_id = stores.stor_id,titleauthor.title_id = titles.title_id,titleauthor.au_id = authors.au_id] Knowledge: publisher and designer are job descriptions which refers to job_desc; percentage more = 100*(SUBTRACT(SUM(CASE WHERE job_desc = 'publisher), SUM(CASE WHERE job_desc = 'designer')) Question: Among all the employees, how many percent more for the publishers than designers?

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

{'authors': ['au_id', 'au_lname', 'au_fname', 'phone', 'address', 'city', 'state', 'zip', 'contract'], 'jobs': ['job_id', 'job_desc', 'min_lvl', 'max_lvl'], 'publishers': ['pub_id', 'pub_name', 'city', 'state', 'country'], 'employee': ['emp_id', 'fname', 'minit', 'lname', 'job_id', 'job_lvl', 'pub_id', 'hire_date'], 'pub_info': ['pub_id', 'logo', 'pr_info'], 'stores': ['stor_id', 'stor_name', 'stor_address', 'city', 'state', 'zip'], 'discounts': ['discounttype', 'stor_id', 'lowqty', 'highqty', 'discount'], 'titles': ['title_id', 'title', 'type', 'pub_id', 'price', 'advance', 'royalty', 'ytd_sales', 'notes', 'pubdate'], 'roysched': ['title_id', 'lorange', 'hirange', 'royalty'], 'sales': ['stor_id', 'ord_num', 'ord_date', 'qty', 'payterms', 'title_id'], 'titleauthor': ['au_id', 'title_id', 'au_ord', 'royaltyper']}

book_publishing_company

Given the following database schema and relevant knowledge, use SQL to answer the question. Schema: Table authors, columns = [au_id,au_lname,au_fname,phone,address,city,state,zip,contract] Table discounts, columns = [discounttype,stor_id,lowqty,highqty,discount] Table employee, columns = [emp_id,fname,minit,lname,job_id,job_lvl,pub_id,hire_date] Table jobs, columns = [job_id,job_desc,min_lvl,max_lvl] Table pub_info, columns = [pub_id,logo,pr_info] Table publishers, columns = [pub_id,pub_name,city,state,country] Table roysched, columns = [title_id,lorange,hirange,royalty] Table sales, columns = [stor_id,ord_num,ord_date,qty,payterms,title_id] Table stores, columns = [stor_id,stor_name,stor_address,city,state,zip] Table titleauthor, columns = [*,au_id,title_id,au_ord,royaltyper] Table titles, columns = [title_id,title,type,pub_id,price,advance,royalty,ytd_sales,notes,pubdate] Foreign_keys = [employee.pub_id = publishers.pub_id,employee.job_id = jobs.job_id,pub_info.pub_id = publishers.pub_id,discounts.stor_id = stores.stor_id,titles.pub_id = publishers.pub_id,roysched.title_id = titles.title_id,sales.title_id = titles.title_id,sales.stor_id = stores.stor_id,titleauthor.title_id = titles.title_id,titleauthor.au_id = authors.au_id] Knowledge: job level refers to job_lvl; YEAR(hire_date) between 1990 and 1995 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.

SELECT fname, minit, lname FROM employee WHERE STRFTIME('%Y', hire_date) BETWEEN '1990' AND '1995' ORDER BY job_lvl DESC

{'authors': ['au_id', 'au_lname', 'au_fname', 'phone', 'address', 'city', 'state', 'zip', 'contract'], 'jobs': ['job_id', 'job_desc', 'min_lvl', 'max_lvl'], 'publishers': ['pub_id', 'pub_name', 'city', 'state', 'country'], 'employee': ['emp_id', 'fname', 'minit', 'lname', 'job_id', 'job_lvl', 'pub_id', 'hire_date'], 'pub_info': ['pub_id', 'logo', 'pr_info'], 'stores': ['stor_id', 'stor_name', 'stor_address', 'city', 'state', 'zip'], 'discounts': ['discounttype', 'stor_id', 'lowqty', 'highqty', 'discount'], 'titles': ['title_id', 'title', 'type', 'pub_id', 'price', 'advance', 'royalty', 'ytd_sales', 'notes', 'pubdate'], 'roysched': ['title_id', 'lorange', 'hirange', 'royalty'], 'sales': ['stor_id', 'ord_num', 'ord_date', 'qty', 'payterms', 'title_id'], 'titleauthor': ['au_id', 'title_id', 'au_ord', 'royaltyper']}

book_publishing_company

Given the following database schema and relevant knowledge, use SQL to answer the question. Schema: Table authors, columns = [au_id,au_lname,au_fname,phone,address,city,state,zip,contract] Table discounts, columns = [discounttype,stor_id,lowqty,highqty,discount] Table employee, columns = [emp_id,fname,minit,lname,job_id,job_lvl,pub_id,hire_date] Table jobs, columns = [job_id,job_desc,min_lvl,max_lvl] Table pub_info, columns = [pub_id,logo,pr_info] Table publishers, columns = [pub_id,pub_name,city,state,country] Table roysched, columns = [title_id,lorange,hirange,royalty] Table sales, columns = [stor_id,ord_num,ord_date,qty,payterms,title_id] Table stores, columns = [stor_id,stor_name,stor_address,city,state,zip] Table titleauthor, columns = [*,au_id,title_id,au_ord,royaltyper] Table titles, columns = [title_id,title,type,pub_id,price,advance,royalty,ytd_sales,notes,pubdate] Foreign_keys = [employee.pub_id = publishers.pub_id,employee.job_id = jobs.job_id,pub_info.pub_id = publishers.pub_id,discounts.stor_id = stores.stor_id,titles.pub_id = publishers.pub_id,roysched.title_id = titles.title_id,sales.title_id = titles.title_id,sales.stor_id = stores.stor_id,titleauthor.title_id = titles.title_id,titleauthor.au_id = authors.au_id] Knowledge: average royalty rate = DIVIDE(SUM(royalty), COUNT(title_id)) Question: Which titles has above average royalty rate? Give those title's name, type and price?

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 )

{'authors': ['au_id', 'au_lname', 'au_fname', 'phone', 'address', 'city', 'state', 'zip', 'contract'], 'jobs': ['job_id', 'job_desc', 'min_lvl', 'max_lvl'], 'publishers': ['pub_id', 'pub_name', 'city', 'state', 'country'], 'employee': ['emp_id', 'fname', 'minit', 'lname', 'job_id', 'job_lvl', 'pub_id', 'hire_date'], 'pub_info': ['pub_id', 'logo', 'pr_info'], 'stores': ['stor_id', 'stor_name', 'stor_address', 'city', 'state', 'zip'], 'discounts': ['discounttype', 'stor_id', 'lowqty', 'highqty', 'discount'], 'titles': ['title_id', 'title', 'type', 'pub_id', 'price', 'advance', 'royalty', 'ytd_sales', 'notes', 'pubdate'], 'roysched': ['title_id', 'lorange', 'hirange', 'royalty'], 'sales': ['stor_id', 'ord_num', 'ord_date', 'qty', 'payterms', 'title_id'], 'titleauthor': ['au_id', 'title_id', 'au_ord', 'royaltyper']}

book_publishing_company

Given the following database schema and relevant knowledge, use SQL to answer the question. Schema: Table authors, columns = [au_id,au_lname,au_fname,phone,address,city,state,zip,contract] Table discounts, columns = [discounttype,stor_id,lowqty,highqty,discount] Table employee, columns = [emp_id,fname,minit,lname,job_id,job_lvl,pub_id,hire_date] Table jobs, columns = [job_id,job_desc,min_lvl,max_lvl] Table pub_info, columns = [pub_id,logo,pr_info] Table publishers, columns = [pub_id,pub_name,city,state,country] Table roysched, columns = [title_id,lorange,hirange,royalty] Table sales, columns = [stor_id,ord_num,ord_date,qty,payterms,title_id] Table stores, columns = [stor_id,stor_name,stor_address,city,state,zip] Table titleauthor, columns = [*,au_id,title_id,au_ord,royaltyper] Table titles, columns = [title_id,title,type,pub_id,price,advance,royalty,ytd_sales,notes,pubdate] Foreign_keys = [employee.pub_id = publishers.pub_id,employee.job_id = jobs.job_id,pub_info.pub_id = publishers.pub_id,discounts.stor_id = stores.stor_id,titles.pub_id = publishers.pub_id,roysched.title_id = titles.title_id,sales.title_id = titles.title_id,sales.stor_id = stores.stor_id,titleauthor.title_id = titles.title_id,titleauthor.au_id = authors.au_id] Knowledge: orders in 1994 refers to YEAR(ord_date) = 1994; order quantity refers to number of order expressed by ord_num; average order quantity = DIVIDE(SUM(ord_num), COUNT(title_id)) Question: In 1994 which title had less order quanty than the average order quantity? Find the title name, type and price.

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 )

{'authors': ['au_id', 'au_lname', 'au_fname', 'phone', 'address', 'city', 'state', 'zip', 'contract'], 'jobs': ['job_id', 'job_desc', 'min_lvl', 'max_lvl'], 'publishers': ['pub_id', 'pub_name', 'city', 'state', 'country'], 'employee': ['emp_id', 'fname', 'minit', 'lname', 'job_id', 'job_lvl', 'pub_id', 'hire_date'], 'pub_info': ['pub_id', 'logo', 'pr_info'], 'stores': ['stor_id', 'stor_name', 'stor_address', 'city', 'state', 'zip'], 'discounts': ['discounttype', 'stor_id', 'lowqty', 'highqty', 'discount'], 'titles': ['title_id', 'title', 'type', 'pub_id', 'price', 'advance', 'royalty', 'ytd_sales', 'notes', 'pubdate'], 'roysched': ['title_id', 'lorange', 'hirange', 'royalty'], 'sales': ['stor_id', 'ord_num', 'ord_date', 'qty', 'payterms', 'title_id'], 'titleauthor': ['au_id', 'title_id', 'au_ord', 'royaltyper']}

book_publishing_company

Given the following database schema and relevant knowledge, use SQL to answer the question. Schema: Table authors, columns = [au_id,au_lname,au_fname,phone,address,city,state,zip,contract] Table discounts, columns = [discounttype,stor_id,lowqty,highqty,discount] Table employee, columns = [emp_id,fname,minit,lname,job_id,job_lvl,pub_id,hire_date] Table jobs, columns = [job_id,job_desc,min_lvl,max_lvl] Table pub_info, columns = [pub_id,logo,pr_info] Table publishers, columns = [pub_id,pub_name,city,state,country] Table roysched, columns = [title_id,lorange,hirange,royalty] Table sales, columns = [stor_id,ord_num,ord_date,qty,payterms,title_id] Table stores, columns = [stor_id,stor_name,stor_address,city,state,zip] Table titleauthor, columns = [*,au_id,title_id,au_ord,royaltyper] Table titles, columns = [title_id,title,type,pub_id,price,advance,royalty,ytd_sales,notes,pubdate] Foreign_keys = [employee.pub_id = publishers.pub_id,employee.job_id = jobs.job_id,pub_info.pub_id = publishers.pub_id,discounts.stor_id = stores.stor_id,titles.pub_id = publishers.pub_id,roysched.title_id = titles.title_id,sales.title_id = titles.title_id,sales.stor_id = stores.stor_id,titleauthor.title_id = titles.title_id,titleauthor.au_id = authors.au_id] Knowledge: Eric the Read Books is a publisher which refers to pub_name; Question: List the title name, type, and price of the titles published by New Moon Books. Arrange the list in ascending order of price.

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

{'authors': ['au_id', 'au_lname', 'au_fname', 'phone', 'address', 'city', 'state', 'zip', 'contract'], 'jobs': ['job_id', 'job_desc', 'min_lvl', 'max_lvl'], 'publishers': ['pub_id', 'pub_name', 'city', 'state', 'country'], 'employee': ['emp_id', 'fname', 'minit', 'lname', 'job_id', 'job_lvl', 'pub_id', 'hire_date'], 'pub_info': ['pub_id', 'logo', 'pr_info'], 'stores': ['stor_id', 'stor_name', 'stor_address', 'city', 'state', 'zip'], 'discounts': ['discounttype', 'stor_id', 'lowqty', 'highqty', 'discount'], 'titles': ['title_id', 'title', 'type', 'pub_id', 'price', 'advance', 'royalty', 'ytd_sales', 'notes', 'pubdate'], 'roysched': ['title_id', 'lorange', 'hirange', 'royalty'], 'sales': ['stor_id', 'ord_num', 'ord_date', 'qty', 'payterms', 'title_id'], 'titleauthor': ['au_id', 'title_id', 'au_ord', 'royaltyper']}

book_publishing_company

Given the following database schema and relevant knowledge, use SQL to answer the question. Schema: Table authors, columns = [au_id,au_lname,au_fname,phone,address,city,state,zip,contract] Table discounts, columns = [discounttype,stor_id,lowqty,highqty,discount] Table employee, columns = [emp_id,fname,minit,lname,job_id,job_lvl,pub_id,hire_date] Table jobs, columns = [job_id,job_desc,min_lvl,max_lvl] Table pub_info, columns = [pub_id,logo,pr_info] Table publishers, columns = [pub_id,pub_name,city,state,country] Table roysched, columns = [title_id,lorange,hirange,royalty] Table sales, columns = [stor_id,ord_num,ord_date,qty,payterms,title_id] Table stores, columns = [stor_id,stor_name,stor_address,city,state,zip] Table titleauthor, columns = [*,au_id,title_id,au_ord,royaltyper] Table titles, columns = [title_id,title,type,pub_id,price,advance,royalty,ytd_sales,notes,pubdate] Foreign_keys = [employee.pub_id = publishers.pub_id,employee.job_id = jobs.job_id,pub_info.pub_id = publishers.pub_id,discounts.stor_id = stores.stor_id,titles.pub_id = publishers.pub_id,roysched.title_id = titles.title_id,sales.title_id = titles.title_id,sales.stor_id = stores.stor_id,titleauthor.title_id = titles.title_id,titleauthor.au_id = authors.au_id] Knowledge: US publisher refers publisher in the US where country = 'USA'; Question: In the books published by US publishers, which book has the highest royalty? List these books in the descending order of royalty.

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

{'authors': ['au_id', 'au_lname', 'au_fname', 'phone', 'address', 'city', 'state', 'zip', 'contract'], 'jobs': ['job_id', 'job_desc', 'min_lvl', 'max_lvl'], 'publishers': ['pub_id', 'pub_name', 'city', 'state', 'country'], 'employee': ['emp_id', 'fname', 'minit', 'lname', 'job_id', 'job_lvl', 'pub_id', 'hire_date'], 'pub_info': ['pub_id', 'logo', 'pr_info'], 'stores': ['stor_id', 'stor_name', 'stor_address', 'city', 'state', 'zip'], 'discounts': ['discounttype', 'stor_id', 'lowqty', 'highqty', 'discount'], 'titles': ['title_id', 'title', 'type', 'pub_id', 'price', 'advance', 'royalty', 'ytd_sales', 'notes', 'pubdate'], 'roysched': ['title_id', 'lorange', 'hirange', 'royalty'], 'sales': ['stor_id', 'ord_num', 'ord_date', 'qty', 'payterms', 'title_id'], 'titleauthor': ['au_id', 'title_id', 'au_ord', 'royaltyper']}

book_publishing_company

Given the following database schema and relevant knowledge, use SQL to answer the question. Schema: Table authors, columns = [au_id,au_lname,au_fname,phone,address,city,state,zip,contract] Table discounts, columns = [discounttype,stor_id,lowqty,highqty,discount] Table employee, columns = [emp_id,fname,minit,lname,job_id,job_lvl,pub_id,hire_date] Table jobs, columns = [job_id,job_desc,min_lvl,max_lvl] Table pub_info, columns = [pub_id,logo,pr_info] Table publishers, columns = [pub_id,pub_name,city,state,country] Table roysched, columns = [title_id,lorange,hirange,royalty] Table sales, columns = [stor_id,ord_num,ord_date,qty,payterms,title_id] Table stores, columns = [stor_id,stor_name,stor_address,city,state,zip] Table titleauthor, columns = [*,au_id,title_id,au_ord,royaltyper] Table titles, columns = [title_id,title,type,pub_id,price,advance,royalty,ytd_sales,notes,pubdate] Foreign_keys = [employee.pub_id = publishers.pub_id,employee.job_id = jobs.job_id,pub_info.pub_id = publishers.pub_id,discounts.stor_id = stores.stor_id,titles.pub_id = publishers.pub_id,roysched.title_id = titles.title_id,sales.title_id = titles.title_id,sales.stor_id = stores.stor_id,titleauthor.title_id = titles.title_id,titleauthor.au_id = authors.au_id] Knowledge: US publisher refers publisher in the US where country = 'USA'; non-US publishers refers publisher not in the US where country! = 'USA'; difference = SUBTRACT(AVG(royalty) where country = 'USA', AVG(royalty) where country! = 'USA')) Question: Find the difference between the average royalty of titles published by US and non US publishers?

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

{'authors': ['au_id', 'au_lname', 'au_fname', 'phone', 'address', 'city', 'state', 'zip', 'contract'], 'jobs': ['job_id', 'job_desc', 'min_lvl', 'max_lvl'], 'publishers': ['pub_id', 'pub_name', 'city', 'state', 'country'], 'employee': ['emp_id', 'fname', 'minit', 'lname', 'job_id', 'job_lvl', 'pub_id', 'hire_date'], 'pub_info': ['pub_id', 'logo', 'pr_info'], 'stores': ['stor_id', 'stor_name', 'stor_address', 'city', 'state', 'zip'], 'discounts': ['discounttype', 'stor_id', 'lowqty', 'highqty', 'discount'], 'titles': ['title_id', 'title', 'type', 'pub_id', 'price', 'advance', 'royalty', 'ytd_sales', 'notes', 'pubdate'], 'roysched': ['title_id', 'lorange', 'hirange', 'royalty'], 'sales': ['stor_id', 'ord_num', 'ord_date', 'qty', 'payterms', 'title_id'], 'titleauthor': ['au_id', 'title_id', 'au_ord', 'royaltyper']}

book_publishing_company

Given the following database schema and relevant knowledge, use SQL to answer the question. Schema: Table authors, columns = [au_id,au_lname,au_fname,phone,address,city,state,zip,contract] Table discounts, columns = [discounttype,stor_id,lowqty,highqty,discount] Table employee, columns = [emp_id,fname,minit,lname,job_id,job_lvl,pub_id,hire_date] Table jobs, columns = [job_id,job_desc,min_lvl,max_lvl] Table pub_info, columns = [pub_id,logo,pr_info] Table publishers, columns = [pub_id,pub_name,city,state,country] Table roysched, columns = [title_id,lorange,hirange,royalty] Table sales, columns = [stor_id,ord_num,ord_date,qty,payterms,title_id] Table stores, columns = [stor_id,stor_name,stor_address,city,state,zip] Table titleauthor, columns = [*,au_id,title_id,au_ord,royaltyper] Table titles, columns = [title_id,title,type,pub_id,price,advance,royalty,ytd_sales,notes,pubdate] Foreign_keys = [employee.pub_id = publishers.pub_id,employee.job_id = jobs.job_id,pub_info.pub_id = publishers.pub_id,discounts.stor_id = stores.stor_id,titles.pub_id = publishers.pub_id,roysched.title_id = titles.title_id,sales.title_id = titles.title_id,sales.stor_id = stores.stor_id,titleauthor.title_id = titles.title_id,titleauthor.au_id = authors.au_id] Knowledge: Marketing manager is a job description which refers to job_desc; US publisher refers publisher in the US where country = 'USA'; non-US publishers refers publisher not in the US where country! = 'USA'; job level refers to job_lvl; average level = AVG(job_lvl) Question: Calculate the average level difference between the Marketing editors hired by the US and non-US publishers?

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'

{'authors': ['au_id', 'au_lname', 'au_fname', 'phone', 'address', 'city', 'state', 'zip', 'contract'], 'jobs': ['job_id', 'job_desc', 'min_lvl', 'max_lvl'], 'publishers': ['pub_id', 'pub_name', 'city', 'state', 'country'], 'employee': ['emp_id', 'fname', 'minit', 'lname', 'job_id', 'job_lvl', 'pub_id', 'hire_date'], 'pub_info': ['pub_id', 'logo', 'pr_info'], 'stores': ['stor_id', 'stor_name', 'stor_address', 'city', 'state', 'zip'], 'discounts': ['discounttype', 'stor_id', 'lowqty', 'highqty', 'discount'], 'titles': ['title_id', 'title', 'type', 'pub_id', 'price', 'advance', 'royalty', 'ytd_sales', 'notes', 'pubdate'], 'roysched': ['title_id', 'lorange', 'hirange', 'royalty'], 'sales': ['stor_id', 'ord_num', 'ord_date', 'qty', 'payterms', 'title_id'], 'titleauthor': ['au_id', 'title_id', 'au_ord', 'royaltyper']}

book_publishing_company

Given the following database schema and relevant knowledge, use SQL to answer the question. Schema: Table authors, columns = [au_id,au_lname,au_fname,phone,address,city,state,zip,contract] Table discounts, columns = [discounttype,stor_id,lowqty,highqty,discount] Table employee, columns = [emp_id,fname,minit,lname,job_id,job_lvl,pub_id,hire_date] Table jobs, columns = [job_id,job_desc,min_lvl,max_lvl] Table pub_info, columns = [pub_id,logo,pr_info] Table publishers, columns = [pub_id,pub_name,city,state,country] Table roysched, columns = [title_id,lorange,hirange,royalty] Table sales, columns = [stor_id,ord_num,ord_date,qty,payterms,title_id] Table stores, columns = [stor_id,stor_name,stor_address,city,state,zip] Table titleauthor, columns = [*,au_id,title_id,au_ord,royaltyper] Table titles, columns = [title_id,title,type,pub_id,price,advance,royalty,ytd_sales,notes,pubdate] Foreign_keys = [employee.pub_id = publishers.pub_id,employee.job_id = jobs.job_id,pub_info.pub_id = publishers.pub_id,discounts.stor_id = stores.stor_id,titles.pub_id = publishers.pub_id,roysched.title_id = titles.title_id,sales.title_id = titles.title_id,sales.stor_id = stores.stor_id,titleauthor.title_id = titles.title_id,titleauthor.au_id = authors.au_id] Knowledge: publisher refers to pub_name; about the title refers to notes 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?

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.'

{'authors': ['au_id', 'au_lname', 'au_fname', 'phone', 'address', 'city', 'state', 'zip', 'contract'], 'jobs': ['job_id', 'job_desc', 'min_lvl', 'max_lvl'], 'publishers': ['pub_id', 'pub_name', 'city', 'state', 'country'], 'employee': ['emp_id', 'fname', 'minit', 'lname', 'job_id', 'job_lvl', 'pub_id', 'hire_date'], 'pub_info': ['pub_id', 'logo', 'pr_info'], 'stores': ['stor_id', 'stor_name', 'stor_address', 'city', 'state', 'zip'], 'discounts': ['discounttype', 'stor_id', 'lowqty', 'highqty', 'discount'], 'titles': ['title_id', 'title', 'type', 'pub_id', 'price', 'advance', 'royalty', 'ytd_sales', 'notes', 'pubdate'], 'roysched': ['title_id', 'lorange', 'hirange', 'royalty'], 'sales': ['stor_id', 'ord_num', 'ord_date', 'qty', 'payterms', 'title_id'], 'titleauthor': ['au_id', 'title_id', 'au_ord', 'royaltyper']}

book_publishing_company

Given the following database schema and relevant knowledge, use SQL to answer the question. Schema: Table authors, columns = [au_id,au_lname,au_fname,phone,address,city,state,zip,contract] Table discounts, columns = [discounttype,stor_id,lowqty,highqty,discount] Table employee, columns = [emp_id,fname,minit,lname,job_id,job_lvl,pub_id,hire_date] Table jobs, columns = [job_id,job_desc,min_lvl,max_lvl] Table pub_info, columns = [pub_id,logo,pr_info] Table publishers, columns = [pub_id,pub_name,city,state,country] Table roysched, columns = [title_id,lorange,hirange,royalty] Table sales, columns = [stor_id,ord_num,ord_date,qty,payterms,title_id] Table stores, columns = [stor_id,stor_name,stor_address,city,state,zip] Table titleauthor, columns = [*,au_id,title_id,au_ord,royaltyper] Table titles, columns = [title_id,title,type,pub_id,price,advance,royalty,ytd_sales,notes,pubdate] Foreign_keys = [employee.pub_id = publishers.pub_id,employee.job_id = jobs.job_id,pub_info.pub_id = publishers.pub_id,discounts.stor_id = stores.stor_id,titles.pub_id = publishers.pub_id,roysched.title_id = titles.title_id,sales.title_id = titles.title_id,sales.stor_id = stores.stor_id,titleauthor.title_id = titles.title_id,titleauthor.au_id = authors.au_id] Knowledge: year to date sales refers to ytd_sales; about the title refers to notes 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?

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.'

{'authors': ['au_id', 'au_lname', 'au_fname', 'phone', 'address', 'city', 'state', 'zip', 'contract'], 'jobs': ['job_id', 'job_desc', 'min_lvl', 'max_lvl'], 'publishers': ['pub_id', 'pub_name', 'city', 'state', 'country'], 'employee': ['emp_id', 'fname', 'minit', 'lname', 'job_id', 'job_lvl', 'pub_id', 'hire_date'], 'pub_info': ['pub_id', 'logo', 'pr_info'], 'stores': ['stor_id', 'stor_name', 'stor_address', 'city', 'state', 'zip'], 'discounts': ['discounttype', 'stor_id', 'lowqty', 'highqty', 'discount'], 'titles': ['title_id', 'title', 'type', 'pub_id', 'price', 'advance', 'royalty', 'ytd_sales', 'notes', 'pubdate'], 'roysched': ['title_id', 'lorange', 'hirange', 'royalty'], 'sales': ['stor_id', 'ord_num', 'ord_date', 'qty', 'payterms', 'title_id'], 'titleauthor': ['au_id', 'title_id', 'au_ord', 'royaltyper']}

book_publishing_company

Given the following database schema and relevant knowledge, use SQL to answer the question. Schema: Table authors, columns = [au_id,au_lname,au_fname,phone,address,city,state,zip,contract] Table discounts, columns = [discounttype,stor_id,lowqty,highqty,discount] Table employee, columns = [emp_id,fname,minit,lname,job_id,job_lvl,pub_id,hire_date] Table jobs, columns = [job_id,job_desc,min_lvl,max_lvl] Table pub_info, columns = [pub_id,logo,pr_info] Table publishers, columns = [pub_id,pub_name,city,state,country] Table roysched, columns = [title_id,lorange,hirange,royalty] Table sales, columns = [stor_id,ord_num,ord_date,qty,payterms,title_id] Table stores, columns = [stor_id,stor_name,stor_address,city,state,zip] Table titleauthor, columns = [*,au_id,title_id,au_ord,royaltyper] Table titles, columns = [title_id,title,type,pub_id,price,advance,royalty,ytd_sales,notes,pubdate] Foreign_keys = [employee.pub_id = publishers.pub_id,employee.job_id = jobs.job_id,pub_info.pub_id = publishers.pub_id,discounts.stor_id = stores.stor_id,titles.pub_id = publishers.pub_id,roysched.title_id = titles.title_id,sales.title_id = titles.title_id,sales.stor_id = stores.stor_id,titleauthor.title_id = titles.title_id,titleauthor.au_id = authors.au_id] Knowledge: qty is abbreviation for quantity; sold more than average refers to qty > AVG(qty); california refers to state = 'CA" 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?

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

{'authors': ['au_id', 'au_lname', 'au_fname', 'phone', 'address', 'city', 'state', 'zip', 'contract'], 'jobs': ['job_id', 'job_desc', 'min_lvl', 'max_lvl'], 'publishers': ['pub_id', 'pub_name', 'city', 'state', 'country'], 'employee': ['emp_id', 'fname', 'minit', 'lname', 'job_id', 'job_lvl', 'pub_id', 'hire_date'], 'pub_info': ['pub_id', 'logo', 'pr_info'], 'stores': ['stor_id', 'stor_name', 'stor_address', 'city', 'state', 'zip'], 'discounts': ['discounttype', 'stor_id', 'lowqty', 'highqty', 'discount'], 'titles': ['title_id', 'title', 'type', 'pub_id', 'price', 'advance', 'royalty', 'ytd_sales', 'notes', 'pubdate'], 'roysched': ['title_id', 'lorange', 'hirange', 'royalty'], 'sales': ['stor_id', 'ord_num', 'ord_date', 'qty', 'payterms', 'title_id'], 'titleauthor': ['au_id', 'title_id', 'au_ord', 'royaltyper']}

book_publishing_company

Given the following database schema and relevant knowledge, use SQL to answer the question. Schema: Table callcenterlogs, columns = [Date received,Complaint ID,rand client,phonefinal,vru+line,call_id,priority,type,outcome,server,ser_start,ser_exit,ser_time] Table client, columns = [client_id,sex,day,month,year,age,social,first,middle,last,phone,email,address_1,address_2,city,state,zipcode,district_id] Table district, columns = [district_id,city,state_abbrev,division] Table events, columns = [Date received,Product,Sub-product,Issue,Sub-issue,Consumer complaint narrative,Tags,Consumer consent provided?,Submitted via,Date sent to company,Company response to consumer,Timely response?,Consumer disputed?,Complaint ID,Client_ID] Table reviews, columns = [*,Date,Stars,Reviews,Product,district_id] Table state, columns = [StateCode,State,Region] Foreign_keys = [callcenterlogs.rand client = client.client_id,client.district_id = district.district_id,district.state_abbrev = state.StateCode,events.Client_ID = client.client_id,events.Complaint ID = callcenterlogs.Complaint ID,reviews.district_id = district.district_id] Knowledge: day received refers to "Date received"; most verbose complaint refers to MAX(ser_time); Question: On which day was the most verbose complaint received?

SELECT `Date received` FROM callcenterlogs WHERE ser_time = ( SELECT MAX(ser_time) FROM callcenterlogs )

{'state': ['StateCode', 'State', 'Region'], 'callcenterlogs': ['Date received', 'Complaint ID', 'rand client', 'phonefinal', 'vru+line', 'call_id', 'priority', 'type', 'outcome', 'server', 'ser_start', 'ser_exit', 'ser_time'], 'client': ['client_id', 'sex', 'day', 'month', 'year', 'age', 'social', 'first', 'middle', 'last', 'phone', 'email', 'address_1', 'address_2', 'city', 'state', 'zipcode', 'district_id'], 'district': ['district_id', 'city', 'state_abbrev', 'division'], 'events': ['Date received', 'Product', 'Sub-product', 'Issue', 'Sub-issue', 'Consumer complaint narrative', 'Tags', 'Consumer consent provided?', 'Submitted via', 'Date sent to company', 'Company response to consumer', 'Timely response?', 'Consumer disputed?', 'Complaint ID', 'Client_ID'], 'reviews': ['Date', 'Stars', 'Reviews', 'Product', 'district_id']}

retail_complains

Given the following database schema and relevant knowledge, use SQL to answer the question. Schema: Table callcenterlogs, columns = [Date received,Complaint ID,rand client,phonefinal,vru+line,call_id,priority,type,outcome,server,ser_start,ser_exit,ser_time] Table client, columns = [client_id,sex,day,month,year,age,social,first,middle,last,phone,email,address_1,address_2,city,state,zipcode,district_id] Table district, columns = [district_id,city,state_abbrev,division] Table events, columns = [Date received,Product,Sub-product,Issue,Sub-issue,Consumer complaint narrative,Tags,Consumer consent provided?,Submitted via,Date sent to company,Company response to consumer,Timely response?,Consumer disputed?,Complaint ID,Client_ID] Table reviews, columns = [*,Date,Stars,Reviews,Product,district_id] Table state, columns = [StateCode,State,Region] Foreign_keys = [callcenterlogs.rand client = client.client_id,client.district_id = district.district_id,district.state_abbrev = state.StateCode,events.Client_ID = client.client_id,events.Complaint ID = callcenterlogs.Complaint ID,reviews.district_id = district.district_id] Knowledge: earliest complaint refers to oldest ser_start; on 2017/3/22 refers to "Date received" = '2017-03-22'; Question: When did the earliest complaint start on 2017/3/22?

SELECT MIN(ser_time) FROM callcenterlogs WHERE `Date received` = '2017-03-22'

{'state': ['StateCode', 'State', 'Region'], 'callcenterlogs': ['Date received', 'Complaint ID', 'rand client', 'phonefinal', 'vru+line', 'call_id', 'priority', 'type', 'outcome', 'server', 'ser_start', 'ser_exit', 'ser_time'], 'client': ['client_id', 'sex', 'day', 'month', 'year', 'age', 'social', 'first', 'middle', 'last', 'phone', 'email', 'address_1', 'address_2', 'city', 'state', 'zipcode', 'district_id'], 'district': ['district_id', 'city', 'state_abbrev', 'division'], 'events': ['Date received', 'Product', 'Sub-product', 'Issue', 'Sub-issue', 'Consumer complaint narrative', 'Tags', 'Consumer consent provided?', 'Submitted via', 'Date sent to company', 'Company response to consumer', 'Timely response?', 'Consumer disputed?', 'Complaint ID', 'Client_ID'], 'reviews': ['Date', 'Stars', 'Reviews', 'Product', 'district_id']}

retail_complains

Given the following database schema and relevant knowledge, use SQL to answer the question. Schema: Table callcenterlogs, columns = [Date received,Complaint ID,rand client,phonefinal,vru+line,call_id,priority,type,outcome,server,ser_start,ser_exit,ser_time] Table client, columns = [client_id,sex,day,month,year,age,social,first,middle,last,phone,email,address_1,address_2,city,state,zipcode,district_id] Table district, columns = [district_id,city,state_abbrev,division] Table events, columns = [Date received,Product,Sub-product,Issue,Sub-issue,Consumer complaint narrative,Tags,Consumer consent provided?,Submitted via,Date sent to company,Company response to consumer,Timely response?,Consumer disputed?,Complaint ID,Client_ID] Table reviews, columns = [*,Date,Stars,Reviews,Product,district_id] Table state, columns = [StateCode,State,Region] Foreign_keys = [callcenterlogs.rand client = client.client_id,client.district_id = district.district_id,district.state_abbrev = state.StateCode,events.Client_ID = client.client_id,events.Complaint ID = callcenterlogs.Complaint ID,reviews.district_id = district.district_id] Knowledge: more urgent refers to MAX(priority); Question: Which complaint is more urgent, complaint ID CR2400594 or ID CR2405641?

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

{'state': ['StateCode', 'State', 'Region'], 'callcenterlogs': ['Date received', 'Complaint ID', 'rand client', 'phonefinal', 'vru+line', 'call_id', 'priority', 'type', 'outcome', 'server', 'ser_start', 'ser_exit', 'ser_time'], 'client': ['client_id', 'sex', 'day', 'month', 'year', 'age', 'social', 'first', 'middle', 'last', 'phone', 'email', 'address_1', 'address_2', 'city', 'state', 'zipcode', 'district_id'], 'district': ['district_id', 'city', 'state_abbrev', 'division'], 'events': ['Date received', 'Product', 'Sub-product', 'Issue', 'Sub-issue', 'Consumer complaint narrative', 'Tags', 'Consumer consent provided?', 'Submitted via', 'Date sent to company', 'Company response to consumer', 'Timely response?', 'Consumer disputed?', 'Complaint ID', 'Client_ID'], 'reviews': ['Date', 'Stars', 'Reviews', 'Product', 'district_id']}

retail_complains

Given the following database schema and relevant knowledge, use SQL to answer the question. Schema: Table callcenterlogs, columns = [Date received,Complaint ID,rand client,phonefinal,vru+line,call_id,priority,type,outcome,server,ser_start,ser_exit,ser_time] Table client, columns = [client_id,sex,day,month,year,age,social,first,middle,last,phone,email,address_1,address_2,city,state,zipcode,district_id] Table district, columns = [district_id,city,state_abbrev,division] Table events, columns = [Date received,Product,Sub-product,Issue,Sub-issue,Consumer complaint narrative,Tags,Consumer consent provided?,Submitted via,Date sent to company,Company response to consumer,Timely response?,Consumer disputed?,Complaint ID,Client_ID] Table reviews, columns = [*,Date,Stars,Reviews,Product,district_id] Table state, columns = [StateCode,State,Region] Foreign_keys = [callcenterlogs.rand client = client.client_id,client.district_id = district.district_id,district.state_abbrev = state.StateCode,events.Client_ID = client.client_id,events.Complaint ID = callcenterlogs.Complaint ID,reviews.district_id = district.district_id] Knowledge: full names = first, middle, last; male refers to sex = 'Male'; year > 1990; Question: Please list the full names of all the male clients born after the year 1990.

SELECT first, middle, last FROM client WHERE year > 1990

{'state': ['StateCode', 'State', 'Region'], 'callcenterlogs': ['Date received', 'Complaint ID', 'rand client', 'phonefinal', 'vru+line', 'call_id', 'priority', 'type', 'outcome', 'server', 'ser_start', 'ser_exit', 'ser_time'], 'client': ['client_id', 'sex', 'day', 'month', 'year', 'age', 'social', 'first', 'middle', 'last', 'phone', 'email', 'address_1', 'address_2', 'city', 'state', 'zipcode', 'district_id'], 'district': ['district_id', 'city', 'state_abbrev', 'division'], 'events': ['Date received', 'Product', 'Sub-product', 'Issue', 'Sub-issue', 'Consumer complaint narrative', 'Tags', 'Consumer consent provided?', 'Submitted via', 'Date sent to company', 'Company response to consumer', 'Timely response?', 'Consumer disputed?', 'Complaint ID', 'Client_ID'], 'reviews': ['Date', 'Stars', 'Reviews', 'Product', 'district_id']}

retail_complains

Given the following database schema and relevant knowledge, use SQL to answer the question. Schema: Table callcenterlogs, columns = [Date received,Complaint ID,rand client,phonefinal,vru+line,call_id,priority,type,outcome,server,ser_start,ser_exit,ser_time] Table client, columns = [client_id,sex,day,month,year,age,social,first,middle,last,phone,email,address_1,address_2,city,state,zipcode,district_id] Table district, columns = [district_id,city,state_abbrev,division] Table events, columns = [Date received,Product,Sub-product,Issue,Sub-issue,Consumer complaint narrative,Tags,Consumer consent provided?,Submitted via,Date sent to company,Company response to consumer,Timely response?,Consumer disputed?,Complaint ID,Client_ID] Table reviews, columns = [*,Date,Stars,Reviews,Product,district_id] Table state, columns = [StateCode,State,Region] Foreign_keys = [callcenterlogs.rand client = client.client_id,client.district_id = district.district_id,district.state_abbrev = state.StateCode,events.Client_ID = client.client_id,events.Complaint ID = callcenterlogs.Complaint ID,reviews.district_id = district.district_id] Knowledge: Question: How many complaints have the client Diesel Galloway filed?

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'

{'state': ['StateCode', 'State', 'Region'], 'callcenterlogs': ['Date received', 'Complaint ID', 'rand client', 'phonefinal', 'vru+line', 'call_id', 'priority', 'type', 'outcome', 'server', 'ser_start', 'ser_exit', 'ser_time'], 'client': ['client_id', 'sex', 'day', 'month', 'year', 'age', 'social', 'first', 'middle', 'last', 'phone', 'email', 'address_1', 'address_2', 'city', 'state', 'zipcode', 'district_id'], 'district': ['district_id', 'city', 'state_abbrev', 'division'], 'events': ['Date received', 'Product', 'Sub-product', 'Issue', 'Sub-issue', 'Consumer complaint narrative', 'Tags', 'Consumer consent provided?', 'Submitted via', 'Date sent to company', 'Company response to consumer', 'Timely response?', 'Consumer disputed?', 'Complaint ID', 'Client_ID'], 'reviews': ['Date', 'Stars', 'Reviews', 'Product', 'district_id']}

retail_complains

Given the following database schema and relevant knowledge, use SQL to answer the question. Schema: Table callcenterlogs, columns = [Date received,Complaint ID,rand client,phonefinal,vru+line,call_id,priority,type,outcome,server,ser_start,ser_exit,ser_time] Table client, columns = [client_id,sex,day,month,year,age,social,first,middle,last,phone,email,address_1,address_2,city,state,zipcode,district_id] Table district, columns = [district_id,city,state_abbrev,division] Table events, columns = [Date received,Product,Sub-product,Issue,Sub-issue,Consumer complaint narrative,Tags,Consumer consent provided?,Submitted via,Date sent to company,Company response to consumer,Timely response?,Consumer disputed?,Complaint ID,Client_ID] Table reviews, columns = [*,Date,Stars,Reviews,Product,district_id] Table state, columns = [StateCode,State,Region] Foreign_keys = [callcenterlogs.rand client = client.client_id,client.district_id = district.district_id,district.state_abbrev = state.StateCode,events.Client_ID = client.client_id,events.Complaint ID = callcenterlogs.Complaint ID,reviews.district_id = district.district_id] Knowledge: detailed product refers to "sub-product"; on 2014/7/3 refers to "Date received" = '2014-07-03'; Question: What is the detailed product of the complaint filed by Diesel Galloway on 2014/7/3?

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'

{'state': ['StateCode', 'State', 'Region'], 'callcenterlogs': ['Date received', 'Complaint ID', 'rand client', 'phonefinal', 'vru+line', 'call_id', 'priority', 'type', 'outcome', 'server', 'ser_start', 'ser_exit', 'ser_time'], 'client': ['client_id', 'sex', 'day', 'month', 'year', 'age', 'social', 'first', 'middle', 'last', 'phone', 'email', 'address_1', 'address_2', 'city', 'state', 'zipcode', 'district_id'], 'district': ['district_id', 'city', 'state_abbrev', 'division'], 'events': ['Date received', 'Product', 'Sub-product', 'Issue', 'Sub-issue', 'Consumer complaint narrative', 'Tags', 'Consumer consent provided?', 'Submitted via', 'Date sent to company', 'Company response to consumer', 'Timely response?', 'Consumer disputed?', 'Complaint ID', 'Client_ID'], 'reviews': ['Date', 'Stars', 'Reviews', 'Product', 'district_id']}

retail_complains

Given the following database schema and relevant knowledge, use SQL to answer the question. Schema: Table callcenterlogs, columns = [Date received,Complaint ID,rand client,phonefinal,vru+line,call_id,priority,type,outcome,server,ser_start,ser_exit,ser_time] Table client, columns = [client_id,sex,day,month,year,age,social,first,middle,last,phone,email,address_1,address_2,city,state,zipcode,district_id] Table district, columns = [district_id,city,state_abbrev,division] Table events, columns = [Date received,Product,Sub-product,Issue,Sub-issue,Consumer complaint narrative,Tags,Consumer consent provided?,Submitted via,Date sent to company,Company response to consumer,Timely response?,Consumer disputed?,Complaint ID,Client_ID] Table reviews, columns = [*,Date,Stars,Reviews,Product,district_id] Table state, columns = [StateCode,State,Region] Foreign_keys = [callcenterlogs.rand client = client.client_id,client.district_id = district.district_id,district.state_abbrev = state.StateCode,events.Client_ID = client.client_id,events.Complaint ID = callcenterlogs.Complaint ID,reviews.district_id = district.district_id] Knowledge: on 2016/10/28 refers to Date received = '2016-10-28'; "Consumer consent provided?" in (null, 'N/A', 'Empty') means that the company didn't get the permission of consent; "Consumer consent provided?" not in (null, 'N/A', 'Empty') means that customers provide the consent for this tag; Question: Was the tag in the complaint filed by Matthew Pierce on 2016/10/28 approved by himself?

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'

{'state': ['StateCode', 'State', 'Region'], 'callcenterlogs': ['Date received', 'Complaint ID', 'rand client', 'phonefinal', 'vru+line', 'call_id', 'priority', 'type', 'outcome', 'server', 'ser_start', 'ser_exit', 'ser_time'], 'client': ['client_id', 'sex', 'day', 'month', 'year', 'age', 'social', 'first', 'middle', 'last', 'phone', 'email', 'address_1', 'address_2', 'city', 'state', 'zipcode', 'district_id'], 'district': ['district_id', 'city', 'state_abbrev', 'division'], 'events': ['Date received', 'Product', 'Sub-product', 'Issue', 'Sub-issue', 'Consumer complaint narrative', 'Tags', 'Consumer consent provided?', 'Submitted via', 'Date sent to company', 'Company response to consumer', 'Timely response?', 'Consumer disputed?', 'Complaint ID', 'Client_ID'], 'reviews': ['Date', 'Stars', 'Reviews', 'Product', 'district_id']}

retail_complains

Given the following database schema and relevant knowledge, use SQL to answer the question. Schema: Table callcenterlogs, columns = [Date received,Complaint ID,rand client,phonefinal,vru+line,call_id,priority,type,outcome,server,ser_start,ser_exit,ser_time] Table client, columns = [client_id,sex,day,month,year,age,social,first,middle,last,phone,email,address_1,address_2,city,state,zipcode,district_id] Table district, columns = [district_id,city,state_abbrev,division] Table events, columns = [Date received,Product,Sub-product,Issue,Sub-issue,Consumer complaint narrative,Tags,Consumer consent provided?,Submitted via,Date sent to company,Company response to consumer,Timely response?,Consumer disputed?,Complaint ID,Client_ID] Table reviews, columns = [*,Date,Stars,Reviews,Product,district_id] Table state, columns = [StateCode,State,Region] Foreign_keys = [callcenterlogs.rand client = client.client_id,client.district_id = district.district_id,district.state_abbrev = state.StateCode,events.Client_ID = client.client_id,events.Complaint ID = callcenterlogs.Complaint ID,reviews.district_id = district.district_id] Knowledge: on 2016/10/28 refers to "Date received" = '2016-10-28'; delayed = SUBTRACT("Date sent to company', 'Date received"); Question: For how long was the complaint filed by Matthew Pierce on 2016/10/28 delayed?

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'

{'state': ['StateCode', 'State', 'Region'], 'callcenterlogs': ['Date received', 'Complaint ID', 'rand client', 'phonefinal', 'vru+line', 'call_id', 'priority', 'type', 'outcome', 'server', 'ser_start', 'ser_exit', 'ser_time'], 'client': ['client_id', 'sex', 'day', 'month', 'year', 'age', 'social', 'first', 'middle', 'last', 'phone', 'email', 'address_1', 'address_2', 'city', 'state', 'zipcode', 'district_id'], 'district': ['district_id', 'city', 'state_abbrev', 'division'], 'events': ['Date received', 'Product', 'Sub-product', 'Issue', 'Sub-issue', 'Consumer complaint narrative', 'Tags', 'Consumer consent provided?', 'Submitted via', 'Date sent to company', 'Company response to consumer', 'Timely response?', 'Consumer disputed?', 'Complaint ID', 'Client_ID'], 'reviews': ['Date', 'Stars', 'Reviews', 'Product', 'district_id']}

retail_complains

Given the following database schema and relevant knowledge, use SQL to answer the question. Schema: Table callcenterlogs, columns = [Date received,Complaint ID,rand client,phonefinal,vru+line,call_id,priority,type,outcome,server,ser_start,ser_exit,ser_time] Table client, columns = [client_id,sex,day,month,year,age,social,first,middle,last,phone,email,address_1,address_2,city,state,zipcode,district_id] Table district, columns = [district_id,city,state_abbrev,division] Table events, columns = [Date received,Product,Sub-product,Issue,Sub-issue,Consumer complaint narrative,Tags,Consumer consent provided?,Submitted via,Date sent to company,Company response to consumer,Timely response?,Consumer disputed?,Complaint ID,Client_ID] Table reviews, columns = [*,Date,Stars,Reviews,Product,district_id] Table state, columns = [StateCode,State,Region] Foreign_keys = [callcenterlogs.rand client = client.client_id,client.district_id = district.district_id,district.state_abbrev = state.StateCode,events.Client_ID = client.client_id,events.Complaint ID = callcenterlogs.Complaint ID,reviews.district_id = district.district_id] Knowledge: full names = first, middle, last; on 2017/3/27 refers to "Date received" = '2017-03-27'; MICHAL refers to server = 'MICHAL'; Question: What is the full name of the client whose complaint on 2017/3/27 was received by MICHAL?

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'

{'state': ['StateCode', 'State', 'Region'], 'callcenterlogs': ['Date received', 'Complaint ID', 'rand client', 'phonefinal', 'vru+line', 'call_id', 'priority', 'type', 'outcome', 'server', 'ser_start', 'ser_exit', 'ser_time'], 'client': ['client_id', 'sex', 'day', 'month', 'year', 'age', 'social', 'first', 'middle', 'last', 'phone', 'email', 'address_1', 'address_2', 'city', 'state', 'zipcode', 'district_id'], 'district': ['district_id', 'city', 'state_abbrev', 'division'], 'events': ['Date received', 'Product', 'Sub-product', 'Issue', 'Sub-issue', 'Consumer complaint narrative', 'Tags', 'Consumer consent provided?', 'Submitted via', 'Date sent to company', 'Company response to consumer', 'Timely response?', 'Consumer disputed?', 'Complaint ID', 'Client_ID'], 'reviews': ['Date', 'Stars', 'Reviews', 'Product', 'district_id']}

retail_complains

Given the following database schema and relevant knowledge, use SQL to answer the question. Schema: Table callcenterlogs, columns = [Date received,Complaint ID,rand client,phonefinal,vru+line,call_id,priority,type,outcome,server,ser_start,ser_exit,ser_time] Table client, columns = [client_id,sex,day,month,year,age,social,first,middle,last,phone,email,address_1,address_2,city,state,zipcode,district_id] Table district, columns = [district_id,city,state_abbrev,division] Table events, columns = [Date received,Product,Sub-product,Issue,Sub-issue,Consumer complaint narrative,Tags,Consumer consent provided?,Submitted via,Date sent to company,Company response to consumer,Timely response?,Consumer disputed?,Complaint ID,Client_ID] Table reviews, columns = [*,Date,Stars,Reviews,Product,district_id] Table state, columns = [StateCode,State,Region] Foreign_keys = [callcenterlogs.rand client = client.client_id,client.district_id = district.district_id,district.state_abbrev = state.StateCode,events.Client_ID = client.client_id,events.Complaint ID = callcenterlogs.Complaint ID,reviews.district_id = district.district_id] Knowledge: how long did the complaint filed last refers to ser_time; on 2017/3/27 refers to "Date received" = '2017-03-27'; Question: For how long did the complaint filed on 2017/3/27 by Rachel Hicks last?

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'

{'state': ['StateCode', 'State', 'Region'], 'callcenterlogs': ['Date received', 'Complaint ID', 'rand client', 'phonefinal', 'vru+line', 'call_id', 'priority', 'type', 'outcome', 'server', 'ser_start', 'ser_exit', 'ser_time'], 'client': ['client_id', 'sex', 'day', 'month', 'year', 'age', 'social', 'first', 'middle', 'last', 'phone', 'email', 'address_1', 'address_2', 'city', 'state', 'zipcode', 'district_id'], 'district': ['district_id', 'city', 'state_abbrev', 'division'], 'events': ['Date received', 'Product', 'Sub-product', 'Issue', 'Sub-issue', 'Consumer complaint narrative', 'Tags', 'Consumer consent provided?', 'Submitted via', 'Date sent to company', 'Company response to consumer', 'Timely response?', 'Consumer disputed?', 'Complaint ID', 'Client_ID'], 'reviews': ['Date', 'Stars', 'Reviews', 'Product', 'district_id']}

retail_complains

Given the following database schema and relevant knowledge, use SQL to answer the question. Schema: Table callcenterlogs, columns = [Date received,Complaint ID,rand client,phonefinal,vru+line,call_id,priority,type,outcome,server,ser_start,ser_exit,ser_time] Table client, columns = [client_id,sex,day,month,year,age,social,first,middle,last,phone,email,address_1,address_2,city,state,zipcode,district_id] Table district, columns = [district_id,city,state_abbrev,division] Table events, columns = [Date received,Product,Sub-product,Issue,Sub-issue,Consumer complaint narrative,Tags,Consumer consent provided?,Submitted via,Date sent to company,Company response to consumer,Timely response?,Consumer disputed?,Complaint ID,Client_ID] Table reviews, columns = [*,Date,Stars,Reviews,Product,district_id] Table state, columns = [StateCode,State,Region] Foreign_keys = [callcenterlogs.rand client = client.client_id,client.district_id = district.district_id,district.state_abbrev = state.StateCode,events.Client_ID = client.client_id,events.Complaint ID = callcenterlogs.Complaint ID,reviews.district_id = district.district_id] Knowledge: 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?

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'

{'state': ['StateCode', 'State', 'Region'], 'callcenterlogs': ['Date received', 'Complaint ID', 'rand client', 'phonefinal', 'vru+line', 'call_id', 'priority', 'type', 'outcome', 'server', 'ser_start', 'ser_exit', 'ser_time'], 'client': ['client_id', 'sex', 'day', 'month', 'year', 'age', 'social', 'first', 'middle', 'last', 'phone', 'email', 'address_1', 'address_2', 'city', 'state', 'zipcode', 'district_id'], 'district': ['district_id', 'city', 'state_abbrev', 'division'], 'events': ['Date received', 'Product', 'Sub-product', 'Issue', 'Sub-issue', 'Consumer complaint narrative', 'Tags', 'Consumer consent provided?', 'Submitted via', 'Date sent to company', 'Company response to consumer', 'Timely response?', 'Consumer disputed?', 'Complaint ID', 'Client_ID'], 'reviews': ['Date', 'Stars', 'Reviews', 'Product', 'district_id']}

retail_complains

Given the following database schema and relevant knowledge, use SQL to answer the question. Schema: Table callcenterlogs, columns = [Date received,Complaint ID,rand client,phonefinal,vru+line,call_id,priority,type,outcome,server,ser_start,ser_exit,ser_time] Table client, columns = [client_id,sex,day,month,year,age,social,first,middle,last,phone,email,address_1,address_2,city,state,zipcode,district_id] Table district, columns = [district_id,city,state_abbrev,division] Table events, columns = [Date received,Product,Sub-product,Issue,Sub-issue,Consumer complaint narrative,Tags,Consumer consent provided?,Submitted via,Date sent to company,Company response to consumer,Timely response?,Consumer disputed?,Complaint ID,Client_ID] Table reviews, columns = [*,Date,Stars,Reviews,Product,district_id] Table state, columns = [StateCode,State,Region] Foreign_keys = [callcenterlogs.rand client = client.client_id,client.district_id = district.district_id,district.state_abbrev = state.StateCode,events.Client_ID = client.client_id,events.Complaint ID = callcenterlogs.Complaint ID,reviews.district_id = district.district_id] Knowledge: full name = first, middle, last; complaints are still in progress refers to "Company response to consumer" = 'In progress'; Question: Please list the full names of all the clients whose complaints are still in progress.

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'

{'state': ['StateCode', 'State', 'Region'], 'callcenterlogs': ['Date received', 'Complaint ID', 'rand client', 'phonefinal', 'vru+line', 'call_id', 'priority', 'type', 'outcome', 'server', 'ser_start', 'ser_exit', 'ser_time'], 'client': ['client_id', 'sex', 'day', 'month', 'year', 'age', 'social', 'first', 'middle', 'last', 'phone', 'email', 'address_1', 'address_2', 'city', 'state', 'zipcode', 'district_id'], 'district': ['district_id', 'city', 'state_abbrev', 'division'], 'events': ['Date received', 'Product', 'Sub-product', 'Issue', 'Sub-issue', 'Consumer complaint narrative', 'Tags', 'Consumer consent provided?', 'Submitted via', 'Date sent to company', 'Company response to consumer', 'Timely response?', 'Consumer disputed?', 'Complaint ID', 'Client_ID'], 'reviews': ['Date', 'Stars', 'Reviews', 'Product', 'district_id']}

retail_complains

Given the following database schema and relevant knowledge, use SQL to answer the question. Schema: Table callcenterlogs, columns = [Date received,Complaint ID,rand client,phonefinal,vru+line,call_id,priority,type,outcome,server,ser_start,ser_exit,ser_time] Table client, columns = [client_id,sex,day,month,year,age,social,first,middle,last,phone,email,address_1,address_2,city,state,zipcode,district_id] Table district, columns = [district_id,city,state_abbrev,division] Table events, columns = [Date received,Product,Sub-product,Issue,Sub-issue,Consumer complaint narrative,Tags,Consumer consent provided?,Submitted via,Date sent to company,Company response to consumer,Timely response?,Consumer disputed?,Complaint ID,Client_ID] Table reviews, columns = [*,Date,Stars,Reviews,Product,district_id] Table state, columns = [StateCode,State,Region] Foreign_keys = [callcenterlogs.rand client = client.client_id,client.district_id = district.district_id,district.state_abbrev = state.StateCode,events.Client_ID = client.client_id,events.Complaint ID = callcenterlogs.Complaint ID,reviews.district_id = district.district_id] Knowledge: did not receive a timely response refers to "Timely response?" = 'No'; New York refers to city = 'New York'; Question: Among the clients who did receive a timely response for their complaint, how many of them are from New York?

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'

{'state': ['StateCode', 'State', 'Region'], 'callcenterlogs': ['Date received', 'Complaint ID', 'rand client', 'phonefinal', 'vru+line', 'call_id', 'priority', 'type', 'outcome', 'server', 'ser_start', 'ser_exit', 'ser_time'], 'client': ['client_id', 'sex', 'day', 'month', 'year', 'age', 'social', 'first', 'middle', 'last', 'phone', 'email', 'address_1', 'address_2', 'city', 'state', 'zipcode', 'district_id'], 'district': ['district_id', 'city', 'state_abbrev', 'division'], 'events': ['Date received', 'Product', 'Sub-product', 'Issue', 'Sub-issue', 'Consumer complaint narrative', 'Tags', 'Consumer consent provided?', 'Submitted via', 'Date sent to company', 'Company response to consumer', 'Timely response?', 'Consumer disputed?', 'Complaint ID', 'Client_ID'], 'reviews': ['Date', 'Stars', 'Reviews', 'Product', 'district_id']}

retail_complains

Given the following database schema and relevant knowledge, use SQL to answer the question. Schema: Table callcenterlogs, columns = [Date received,Complaint ID,rand client,phonefinal,vru+line,call_id,priority,type,outcome,server,ser_start,ser_exit,ser_time] Table client, columns = [client_id,sex,day,month,year,age,social,first,middle,last,phone,email,address_1,address_2,city,state,zipcode,district_id] Table district, columns = [district_id,city,state_abbrev,division] Table events, columns = [Date received,Product,Sub-product,Issue,Sub-issue,Consumer complaint narrative,Tags,Consumer consent provided?,Submitted via,Date sent to company,Company response to consumer,Timely response?,Consumer disputed?,Complaint ID,Client_ID] Table reviews, columns = [*,Date,Stars,Reviews,Product,district_id] Table state, columns = [StateCode,State,Region] Foreign_keys = [callcenterlogs.rand client = client.client_id,client.district_id = district.district_id,district.state_abbrev = state.StateCode,events.Client_ID = client.client_id,events.Complaint ID = callcenterlogs.Complaint ID,reviews.district_id = district.district_id] Knowledge: credit cards refers to Product = 'Credit card'; 2016 refers to year(Date received) = 2016; male refers to sex = 'Male'; Question: How many complaints on credit cards in the year 2016 were filed by male clients?

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'

{'state': ['StateCode', 'State', 'Region'], 'callcenterlogs': ['Date received', 'Complaint ID', 'rand client', 'phonefinal', 'vru+line', 'call_id', 'priority', 'type', 'outcome', 'server', 'ser_start', 'ser_exit', 'ser_time'], 'client': ['client_id', 'sex', 'day', 'month', 'year', 'age', 'social', 'first', 'middle', 'last', 'phone', 'email', 'address_1', 'address_2', 'city', 'state', 'zipcode', 'district_id'], 'district': ['district_id', 'city', 'state_abbrev', 'division'], 'events': ['Date received', 'Product', 'Sub-product', 'Issue', 'Sub-issue', 'Consumer complaint narrative', 'Tags', 'Consumer consent provided?', 'Submitted via', 'Date sent to company', 'Company response to consumer', 'Timely response?', 'Consumer disputed?', 'Complaint ID', 'Client_ID'], 'reviews': ['Date', 'Stars', 'Reviews', 'Product', 'district_id']}

retail_complains

Given the following database schema and relevant knowledge, use SQL to answer the question. Schema: Table callcenterlogs, columns = [Date received,Complaint ID,rand client,phonefinal,vru+line,call_id,priority,type,outcome,server,ser_start,ser_exit,ser_time] Table client, columns = [client_id,sex,day,month,year,age,social,first,middle,last,phone,email,address_1,address_2,city,state,zipcode,district_id] Table district, columns = [district_id,city,state_abbrev,division] Table events, columns = [Date received,Product,Sub-product,Issue,Sub-issue,Consumer complaint narrative,Tags,Consumer consent provided?,Submitted via,Date sent to company,Company response to consumer,Timely response?,Consumer disputed?,Complaint ID,Client_ID] Table reviews, columns = [*,Date,Stars,Reviews,Product,district_id] Table state, columns = [StateCode,State,Region] Foreign_keys = [callcenterlogs.rand client = client.client_id,client.district_id = district.district_id,district.state_abbrev = state.StateCode,events.Client_ID = client.client_id,events.Complaint ID = callcenterlogs.Complaint ID,reviews.district_id = district.district_id] Knowledge: Question: Which division is Diesel Galloway in?

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'

{'state': ['StateCode', 'State', 'Region'], 'callcenterlogs': ['Date received', 'Complaint ID', 'rand client', 'phonefinal', 'vru+line', 'call_id', 'priority', 'type', 'outcome', 'server', 'ser_start', 'ser_exit', 'ser_time'], 'client': ['client_id', 'sex', 'day', 'month', 'year', 'age', 'social', 'first', 'middle', 'last', 'phone', 'email', 'address_1', 'address_2', 'city', 'state', 'zipcode', 'district_id'], 'district': ['district_id', 'city', 'state_abbrev', 'division'], 'events': ['Date received', 'Product', 'Sub-product', 'Issue', 'Sub-issue', 'Consumer complaint narrative', 'Tags', 'Consumer consent provided?', 'Submitted via', 'Date sent to company', 'Company response to consumer', 'Timely response?', 'Consumer disputed?', 'Complaint ID', 'Client_ID'], 'reviews': ['Date', 'Stars', 'Reviews', 'Product', 'district_id']}

retail_complains

Given the following database schema and relevant knowledge, use SQL to answer the question. Schema: Table callcenterlogs, columns = [Date received,Complaint ID,rand client,phonefinal,vru+line,call_id,priority,type,outcome,server,ser_start,ser_exit,ser_time] Table client, columns = [client_id,sex,day,month,year,age,social,first,middle,last,phone,email,address_1,address_2,city,state,zipcode,district_id] Table district, columns = [district_id,city,state_abbrev,division] Table events, columns = [Date received,Product,Sub-product,Issue,Sub-issue,Consumer complaint narrative,Tags,Consumer consent provided?,Submitted via,Date sent to company,Company response to consumer,Timely response?,Consumer disputed?,Complaint ID,Client_ID] Table reviews, columns = [*,Date,Stars,Reviews,Product,district_id] Table state, columns = [StateCode,State,Region] Foreign_keys = [callcenterlogs.rand client = client.client_id,client.district_id = district.district_id,district.state_abbrev = state.StateCode,events.Client_ID = client.client_id,events.Complaint ID = callcenterlogs.Complaint ID,reviews.district_id = district.district_id] Knowledge: full names = first, middle, last; male refers to sex = 'Male'; Question: Please list the full names of all the male clients in the Pacific division.

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'

{'state': ['StateCode', 'State', 'Region'], 'callcenterlogs': ['Date received', 'Complaint ID', 'rand client', 'phonefinal', 'vru+line', 'call_id', 'priority', 'type', 'outcome', 'server', 'ser_start', 'ser_exit', 'ser_time'], 'client': ['client_id', 'sex', 'day', 'month', 'year', 'age', 'social', 'first', 'middle', 'last', 'phone', 'email', 'address_1', 'address_2', 'city', 'state', 'zipcode', 'district_id'], 'district': ['district_id', 'city', 'state_abbrev', 'division'], 'events': ['Date received', 'Product', 'Sub-product', 'Issue', 'Sub-issue', 'Consumer complaint narrative', 'Tags', 'Consumer consent provided?', 'Submitted via', 'Date sent to company', 'Company response to consumer', 'Timely response?', 'Consumer disputed?', 'Complaint ID', 'Client_ID'], 'reviews': ['Date', 'Stars', 'Reviews', 'Product', 'district_id']}

retail_complains

Given the following database schema and relevant knowledge, use SQL to answer the question. Schema: Table callcenterlogs, columns = [Date received,Complaint ID,rand client,phonefinal,vru+line,call_id,priority,type,outcome,server,ser_start,ser_exit,ser_time] Table client, columns = [client_id,sex,day,month,year,age,social,first,middle,last,phone,email,address_1,address_2,city,state,zipcode,district_id] Table district, columns = [district_id,city,state_abbrev,division] Table events, columns = [Date received,Product,Sub-product,Issue,Sub-issue,Consumer complaint narrative,Tags,Consumer consent provided?,Submitted via,Date sent to company,Company response to consumer,Timely response?,Consumer disputed?,Complaint ID,Client_ID] Table reviews, columns = [*,Date,Stars,Reviews,Product,district_id] Table state, columns = [StateCode,State,Region] Foreign_keys = [callcenterlogs.rand client = client.client_id,client.district_id = district.district_id,district.state_abbrev = state.StateCode,events.Client_ID = client.client_id,events.Complaint ID = callcenterlogs.Complaint ID,reviews.district_id = district.district_id] Knowledge: average = AVG(Complaint ID); credit cards refers to Product = 'Credit card'; New York refers to city = 'New York'; 3 consecutive years starting from 2015 refers to "Date received" BETWEEN 2015 AND 2017; 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?

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'

{'state': ['StateCode', 'State', 'Region'], 'callcenterlogs': ['Date received', 'Complaint ID', 'rand client', 'phonefinal', 'vru+line', 'call_id', 'priority', 'type', 'outcome', 'server', 'ser_start', 'ser_exit', 'ser_time'], 'client': ['client_id', 'sex', 'day', 'month', 'year', 'age', 'social', 'first', 'middle', 'last', 'phone', 'email', 'address_1', 'address_2', 'city', 'state', 'zipcode', 'district_id'], 'district': ['district_id', 'city', 'state_abbrev', 'division'], 'events': ['Date received', 'Product', 'Sub-product', 'Issue', 'Sub-issue', 'Consumer complaint narrative', 'Tags', 'Consumer consent provided?', 'Submitted via', 'Date sent to company', 'Company response to consumer', 'Timely response?', 'Consumer disputed?', 'Complaint ID', 'Client_ID'], 'reviews': ['Date', 'Stars', 'Reviews', 'Product', 'district_id']}

retail_complains

Given the following database schema and relevant knowledge, use SQL to answer the question. Schema: Table callcenterlogs, columns = [Date received,Complaint ID,rand client,phonefinal,vru+line,call_id,priority,type,outcome,server,ser_start,ser_exit,ser_time] Table client, columns = [client_id,sex,day,month,year,age,social,first,middle,last,phone,email,address_1,address_2,city,state,zipcode,district_id] Table district, columns = [district_id,city,state_abbrev,division] Table events, columns = [Date received,Product,Sub-product,Issue,Sub-issue,Consumer complaint narrative,Tags,Consumer consent provided?,Submitted via,Date sent to company,Company response to consumer,Timely response?,Consumer disputed?,Complaint ID,Client_ID] Table reviews, columns = [*,Date,Stars,Reviews,Product,district_id] Table state, columns = [StateCode,State,Region] Foreign_keys = [callcenterlogs.rand client = client.client_id,client.district_id = district.district_id,district.state_abbrev = state.StateCode,events.Client_ID = client.client_id,events.Complaint ID = callcenterlogs.Complaint ID,reviews.district_id = district.district_id] Knowledge: percentage of increase = MULTIPLY(DIVIDE(SUBTRACT(SUM(year("Date received") = 2017), SUM(year("Date received") = 2016)), SUM(year("Date received") = 2016)), 1.0); New York refers to city = 'New York'; year("Date received") BETWEEN 2016 AND 2017; 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?

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'

{'state': ['StateCode', 'State', 'Region'], 'callcenterlogs': ['Date received', 'Complaint ID', 'rand client', 'phonefinal', 'vru+line', 'call_id', 'priority', 'type', 'outcome', 'server', 'ser_start', 'ser_exit', 'ser_time'], 'client': ['client_id', 'sex', 'day', 'month', 'year', 'age', 'social', 'first', 'middle', 'last', 'phone', 'email', 'address_1', 'address_2', 'city', 'state', 'zipcode', 'district_id'], 'district': ['district_id', 'city', 'state_abbrev', 'division'], 'events': ['Date received', 'Product', 'Sub-product', 'Issue', 'Sub-issue', 'Consumer complaint narrative', 'Tags', 'Consumer consent provided?', 'Submitted via', 'Date sent to company', 'Company response to consumer', 'Timely response?', 'Consumer disputed?', 'Complaint ID', 'Client_ID'], 'reviews': ['Date', 'Stars', 'Reviews', 'Product', 'district_id']}

retail_complains

Given the following database schema and relevant knowledge, use SQL to answer the question. Schema: Table callcenterlogs, columns = [Date received,Complaint ID,rand client,phonefinal,vru+line,call_id,priority,type,outcome,server,ser_start,ser_exit,ser_time] Table client, columns = [client_id,sex,day,month,year,age,social,first,middle,last,phone,email,address_1,address_2,city,state,zipcode,district_id] Table district, columns = [district_id,city,state_abbrev,division] Table events, columns = [Date received,Product,Sub-product,Issue,Sub-issue,Consumer complaint narrative,Tags,Consumer consent provided?,Submitted via,Date sent to company,Company response to consumer,Timely response?,Consumer disputed?,Complaint ID,Client_ID] Table reviews, columns = [*,Date,Stars,Reviews,Product,district_id] Table state, columns = [StateCode,State,Region] Foreign_keys = [callcenterlogs.rand client = client.client_id,client.district_id = district.district_id,district.state_abbrev = state.StateCode,events.Client_ID = client.client_id,events.Complaint ID = callcenterlogs.Complaint ID,reviews.district_id = district.district_id] Knowledge: serve time refers to ser_time; longer ser_time means more verbose or longer complaint; on 2017/2/22 refers to "Date received" = '2017-02-22'; Question: What was the serve time for the complaint call from client "C00007127" on 2017/2/22?

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'

{'state': ['StateCode', 'State', 'Region'], 'callcenterlogs': ['Date received', 'Complaint ID', 'rand client', 'phonefinal', 'vru+line', 'call_id', 'priority', 'type', 'outcome', 'server', 'ser_start', 'ser_exit', 'ser_time'], 'client': ['client_id', 'sex', 'day', 'month', 'year', 'age', 'social', 'first', 'middle', 'last', 'phone', 'email', 'address_1', 'address_2', 'city', 'state', 'zipcode', 'district_id'], 'district': ['district_id', 'city', 'state_abbrev', 'division'], 'events': ['Date received', 'Product', 'Sub-product', 'Issue', 'Sub-issue', 'Consumer complaint narrative', 'Tags', 'Consumer consent provided?', 'Submitted via', 'Date sent to company', 'Company response to consumer', 'Timely response?', 'Consumer disputed?', 'Complaint ID', 'Client_ID'], 'reviews': ['Date', 'Stars', 'Reviews', 'Product', 'district_id']}

retail_complains

Given the following database schema and relevant knowledge, use SQL to answer the question. Schema: Table callcenterlogs, columns = [Date received,Complaint ID,rand client,phonefinal,vru+line,call_id,priority,type,outcome,server,ser_start,ser_exit,ser_time] Table client, columns = [client_id,sex,day,month,year,age,social,first,middle,last,phone,email,address_1,address_2,city,state,zipcode,district_id] Table district, columns = [district_id,city,state_abbrev,division] Table events, columns = [Date received,Product,Sub-product,Issue,Sub-issue,Consumer complaint narrative,Tags,Consumer consent provided?,Submitted via,Date sent to company,Company response to consumer,Timely response?,Consumer disputed?,Complaint ID,Client_ID] Table reviews, columns = [*,Date,Stars,Reviews,Product,district_id] Table state, columns = [StateCode,State,Region] Foreign_keys = [callcenterlogs.rand client = client.client_id,client.district_id = district.district_id,district.state_abbrev = state.StateCode,events.Client_ID = client.client_id,events.Complaint ID = callcenterlogs.Complaint ID,reviews.district_id = district.district_id] Knowledge: full name of the state refers to state_name; Question: Which state does the owner of "wyatt.collins@gmail.com" live in? Give the full name of the state.

SELECT T1.state FROM client AS T1 INNER JOIN district AS T2 ON T1.district_id = T2.district_id WHERE T1.email = 'wyatt.collins@gmail.com'

{'state': ['StateCode', 'State', 'Region'], 'callcenterlogs': ['Date received', 'Complaint ID', 'rand client', 'phonefinal', 'vru+line', 'call_id', 'priority', 'type', 'outcome', 'server', 'ser_start', 'ser_exit', 'ser_time'], 'client': ['client_id', 'sex', 'day', 'month', 'year', 'age', 'social', 'first', 'middle', 'last', 'phone', 'email', 'address_1', 'address_2', 'city', 'state', 'zipcode', 'district_id'], 'district': ['district_id', 'city', 'state_abbrev', 'division'], 'events': ['Date received', 'Product', 'Sub-product', 'Issue', 'Sub-issue', 'Consumer complaint narrative', 'Tags', 'Consumer consent provided?', 'Submitted via', 'Date sent to company', 'Company response to consumer', 'Timely response?', 'Consumer disputed?', 'Complaint ID', 'Client_ID'], 'reviews': ['Date', 'Stars', 'Reviews', 'Product', 'district_id']}

retail_complains

Given the following database schema and relevant knowledge, use SQL to answer the question. Schema: Table callcenterlogs, columns = [Date received,Complaint ID,rand client,phonefinal,vru+line,call_id,priority,type,outcome,server,ser_start,ser_exit,ser_time] Table client, columns = [client_id,sex,day,month,year,age,social,first,middle,last,phone,email,address_1,address_2,city,state,zipcode,district_id] Table district, columns = [district_id,city,state_abbrev,division] Table events, columns = [Date received,Product,Sub-product,Issue,Sub-issue,Consumer complaint narrative,Tags,Consumer consent provided?,Submitted via,Date sent to company,Company response to consumer,Timely response?,Consumer disputed?,Complaint ID,Client_ID] Table reviews, columns = [*,Date,Stars,Reviews,Product,district_id] Table state, columns = [StateCode,State,Region] Foreign_keys = [callcenterlogs.rand client = client.client_id,client.district_id = district.district_id,district.state_abbrev = state.StateCode,events.Client_ID = client.client_id,events.Complaint ID = callcenterlogs.Complaint ID,reviews.district_id = district.district_id] Knowledge: detailed product refers to "Sub-product"; Mr refers to sex = 'Male'; Question: Which detailed product did Mr Lennox Oliver Drake complain about?

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'

{'state': ['StateCode', 'State', 'Region'], 'callcenterlogs': ['Date received', 'Complaint ID', 'rand client', 'phonefinal', 'vru+line', 'call_id', 'priority', 'type', 'outcome', 'server', 'ser_start', 'ser_exit', 'ser_time'], 'client': ['client_id', 'sex', 'day', 'month', 'year', 'age', 'social', 'first', 'middle', 'last', 'phone', 'email', 'address_1', 'address_2', 'city', 'state', 'zipcode', 'district_id'], 'district': ['district_id', 'city', 'state_abbrev', 'division'], 'events': ['Date received', 'Product', 'Sub-product', 'Issue', 'Sub-issue', 'Consumer complaint narrative', 'Tags', 'Consumer consent provided?', 'Submitted via', 'Date sent to company', 'Company response to consumer', 'Timely response?', 'Consumer disputed?', 'Complaint ID', 'Client_ID'], 'reviews': ['Date', 'Stars', 'Reviews', 'Product', 'district_id']}

retail_complains

Given the following database schema and relevant knowledge, use SQL to answer the question. Schema: Table callcenterlogs, columns = [Date received,Complaint ID,rand client,phonefinal,vru+line,call_id,priority,type,outcome,server,ser_start,ser_exit,ser_time] Table client, columns = [client_id,sex,day,month,year,age,social,first,middle,last,phone,email,address_1,address_2,city,state,zipcode,district_id] Table district, columns = [district_id,city,state_abbrev,division] Table events, columns = [Date received,Product,Sub-product,Issue,Sub-issue,Consumer complaint narrative,Tags,Consumer consent provided?,Submitted via,Date sent to company,Company response to consumer,Timely response?,Consumer disputed?,Complaint ID,Client_ID] Table reviews, columns = [*,Date,Stars,Reviews,Product,district_id] Table state, columns = [StateCode,State,Region] Foreign_keys = [callcenterlogs.rand client = client.client_id,client.district_id = district.district_id,district.state_abbrev = state.StateCode,events.Client_ID = client.client_id,events.Complaint ID = callcenterlogs.Complaint ID,reviews.district_id = district.district_id] Knowledge: detailed issue refers to Sub-issue; Mr refers to sex = 'Male'; Question: What was the detailed issue did Mr Gunner Omer Fuller complain about?

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'

{'state': ['StateCode', 'State', 'Region'], 'callcenterlogs': ['Date received', 'Complaint ID', 'rand client', 'phonefinal', 'vru+line', 'call_id', 'priority', 'type', 'outcome', 'server', 'ser_start', 'ser_exit', 'ser_time'], 'client': ['client_id', 'sex', 'day', 'month', 'year', 'age', 'social', 'first', 'middle', 'last', 'phone', 'email', 'address_1', 'address_2', 'city', 'state', 'zipcode', 'district_id'], 'district': ['district_id', 'city', 'state_abbrev', 'division'], 'events': ['Date received', 'Product', 'Sub-product', 'Issue', 'Sub-issue', 'Consumer complaint narrative', 'Tags', 'Consumer consent provided?', 'Submitted via', 'Date sent to company', 'Company response to consumer', 'Timely response?', 'Consumer disputed?', 'Complaint ID', 'Client_ID'], 'reviews': ['Date', 'Stars', 'Reviews', 'Product', 'district_id']}

retail_complains

Given the following database schema and relevant knowledge, use SQL to answer the question. Schema: Table callcenterlogs, columns = [Date received,Complaint ID,rand client,phonefinal,vru+line,call_id,priority,type,outcome,server,ser_start,ser_exit,ser_time] Table client, columns = [client_id,sex,day,month,year,age,social,first,middle,last,phone,email,address_1,address_2,city,state,zipcode,district_id] Table district, columns = [district_id,city,state_abbrev,division] Table events, columns = [Date received,Product,Sub-product,Issue,Sub-issue,Consumer complaint narrative,Tags,Consumer consent provided?,Submitted via,Date sent to company,Company response to consumer,Timely response?,Consumer disputed?,Complaint ID,Client_ID] Table reviews, columns = [*,Date,Stars,Reviews,Product,district_id] Table state, columns = [StateCode,State,Region] Foreign_keys = [callcenterlogs.rand client = client.client_id,client.district_id = district.district_id,district.state_abbrev = state.StateCode,events.Client_ID = client.client_id,events.Complaint ID = callcenterlogs.Complaint ID,reviews.district_id = district.district_id] Knowledge: Ms refers to sex = 'Female'; "Consumer consent provided?" in (null, 'N/A', 'Empty') means that the company didn't get the permission of consent; "Consumer consent provided?" not in (null, 'N/A', 'Empty') means the customers provide the consent; on 2016/5/20 refers to Date received = '2016-05-20'; Question: Did Ms. Lyric Emely Taylor provide the consent for result of the complaint call on 2016/5/20?

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'

{'state': ['StateCode', 'State', 'Region'], 'callcenterlogs': ['Date received', 'Complaint ID', 'rand client', 'phonefinal', 'vru+line', 'call_id', 'priority', 'type', 'outcome', 'server', 'ser_start', 'ser_exit', 'ser_time'], 'client': ['client_id', 'sex', 'day', 'month', 'year', 'age', 'social', 'first', 'middle', 'last', 'phone', 'email', 'address_1', 'address_2', 'city', 'state', 'zipcode', 'district_id'], 'district': ['district_id', 'city', 'state_abbrev', 'division'], 'events': ['Date received', 'Product', 'Sub-product', 'Issue', 'Sub-issue', 'Consumer complaint narrative', 'Tags', 'Consumer consent provided?', 'Submitted via', 'Date sent to company', 'Company response to consumer', 'Timely response?', 'Consumer disputed?', 'Complaint ID', 'Client_ID'], 'reviews': ['Date', 'Stars', 'Reviews', 'Product', 'district_id']}

retail_complains

Given the following database schema and relevant knowledge, use SQL to answer the question. Schema: Table callcenterlogs, columns = [Date received,Complaint ID,rand client,phonefinal,vru+line,call_id,priority,type,outcome,server,ser_start,ser_exit,ser_time] Table client, columns = [client_id,sex,day,month,year,age,social,first,middle,last,phone,email,address_1,address_2,city,state,zipcode,district_id] Table district, columns = [district_id,city,state_abbrev,division] Table events, columns = [Date received,Product,Sub-product,Issue,Sub-issue,Consumer complaint narrative,Tags,Consumer consent provided?,Submitted via,Date sent to company,Company response to consumer,Timely response?,Consumer disputed?,Complaint ID,Client_ID] Table reviews, columns = [*,Date,Stars,Reviews,Product,district_id] Table state, columns = [StateCode,State,Region] Foreign_keys = [callcenterlogs.rand client = client.client_id,client.district_id = district.district_id,district.state_abbrev = state.StateCode,events.Client_ID = client.client_id,events.Complaint ID = callcenterlogs.Complaint ID,reviews.district_id = district.district_id] Knowledge: days delay for the complaint = SUBTRACT("date sent to company", "Date received"); Mr refers to sex = 'Male'; on 2012/5/18 refers to "Date received" = '2012-05-18'; Question: How many days delay for the complaint call from Mr. Brantley Julian Stanley on 2012/5/18?

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'

{'state': ['StateCode', 'State', 'Region'], 'callcenterlogs': ['Date received', 'Complaint ID', 'rand client', 'phonefinal', 'vru+line', 'call_id', 'priority', 'type', 'outcome', 'server', 'ser_start', 'ser_exit', 'ser_time'], 'client': ['client_id', 'sex', 'day', 'month', 'year', 'age', 'social', 'first', 'middle', 'last', 'phone', 'email', 'address_1', 'address_2', 'city', 'state', 'zipcode', 'district_id'], 'district': ['district_id', 'city', 'state_abbrev', 'division'], 'events': ['Date received', 'Product', 'Sub-product', 'Issue', 'Sub-issue', 'Consumer complaint narrative', 'Tags', 'Consumer consent provided?', 'Submitted via', 'Date sent to company', 'Company response to consumer', 'Timely response?', 'Consumer disputed?', 'Complaint ID', 'Client_ID'], 'reviews': ['Date', 'Stars', 'Reviews', 'Product', 'district_id']}

retail_complains

Given the following database schema and relevant knowledge, use SQL to answer the question. Schema: Table callcenterlogs, columns = [Date received,Complaint ID,rand client,phonefinal,vru+line,call_id,priority,type,outcome,server,ser_start,ser_exit,ser_time] Table client, columns = [client_id,sex,day,month,year,age,social,first,middle,last,phone,email,address_1,address_2,city,state,zipcode,district_id] Table district, columns = [district_id,city,state_abbrev,division] Table events, columns = [Date received,Product,Sub-product,Issue,Sub-issue,Consumer complaint narrative,Tags,Consumer consent provided?,Submitted via,Date sent to company,Company response to consumer,Timely response?,Consumer disputed?,Complaint ID,Client_ID] Table reviews, columns = [*,Date,Stars,Reviews,Product,district_id] Table state, columns = [StateCode,State,Region] Foreign_keys = [callcenterlogs.rand client = client.client_id,client.district_id = district.district_id,district.state_abbrev = state.StateCode,events.Client_ID = client.client_id,events.Complaint ID = callcenterlogs.Complaint ID,reviews.district_id = district.district_id] Knowledge: on 2018/9/11 refers to Date = '2017-07-22'; Question: Which district did the review on 2018/9/11 come from? Give the name of the city.

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'

{'state': ['StateCode', 'State', 'Region'], 'callcenterlogs': ['Date received', 'Complaint ID', 'rand client', 'phonefinal', 'vru+line', 'call_id', 'priority', 'type', 'outcome', 'server', 'ser_start', 'ser_exit', 'ser_time'], 'client': ['client_id', 'sex', 'day', 'month', 'year', 'age', 'social', 'first', 'middle', 'last', 'phone', 'email', 'address_1', 'address_2', 'city', 'state', 'zipcode', 'district_id'], 'district': ['district_id', 'city', 'state_abbrev', 'division'], 'events': ['Date received', 'Product', 'Sub-product', 'Issue', 'Sub-issue', 'Consumer complaint narrative', 'Tags', 'Consumer consent provided?', 'Submitted via', 'Date sent to company', 'Company response to consumer', 'Timely response?', 'Consumer disputed?', 'Complaint ID', 'Client_ID'], 'reviews': ['Date', 'Stars', 'Reviews', 'Product', 'district_id']}

retail_complains

Given the following database schema and relevant knowledge, use SQL to answer the question. Schema: Table callcenterlogs, columns = [Date received,Complaint ID,rand client,phonefinal,vru+line,call_id,priority,type,outcome,server,ser_start,ser_exit,ser_time] Table client, columns = [client_id,sex,day,month,year,age,social,first,middle,last,phone,email,address_1,address_2,city,state,zipcode,district_id] Table district, columns = [district_id,city,state_abbrev,division] Table events, columns = [Date received,Product,Sub-product,Issue,Sub-issue,Consumer complaint narrative,Tags,Consumer consent provided?,Submitted via,Date sent to company,Company response to consumer,Timely response?,Consumer disputed?,Complaint ID,Client_ID] Table reviews, columns = [*,Date,Stars,Reviews,Product,district_id] Table state, columns = [StateCode,State,Region] Foreign_keys = [callcenterlogs.rand client = client.client_id,client.district_id = district.district_id,district.state_abbrev = state.StateCode,events.Client_ID = client.client_id,events.Complaint ID = callcenterlogs.Complaint ID,reviews.district_id = district.district_id] Knowledge: Jacksonville refers to city = 'Jacksonville'; on 2017/7/22 refers to Date = '2017-07-22'; Question: What was the review context from Jacksonville on 2017/7/22?

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'

{'state': ['StateCode', 'State', 'Region'], 'callcenterlogs': ['Date received', 'Complaint ID', 'rand client', 'phonefinal', 'vru+line', 'call_id', 'priority', 'type', 'outcome', 'server', 'ser_start', 'ser_exit', 'ser_time'], 'client': ['client_id', 'sex', 'day', 'month', 'year', 'age', 'social', 'first', 'middle', 'last', 'phone', 'email', 'address_1', 'address_2', 'city', 'state', 'zipcode', 'district_id'], 'district': ['district_id', 'city', 'state_abbrev', 'division'], 'events': ['Date received', 'Product', 'Sub-product', 'Issue', 'Sub-issue', 'Consumer complaint narrative', 'Tags', 'Consumer consent provided?', 'Submitted via', 'Date sent to company', 'Company response to consumer', 'Timely response?', 'Consumer disputed?', 'Complaint ID', 'Client_ID'], 'reviews': ['Date', 'Stars', 'Reviews', 'Product', 'district_id']}

retail_complains

Given the following database schema and relevant knowledge, use SQL to answer the question. Schema: Table callcenterlogs, columns = [Date received,Complaint ID,rand client,phonefinal,vru+line,call_id,priority,type,outcome,server,ser_start,ser_exit,ser_time] Table client, columns = [client_id,sex,day,month,year,age,social,first,middle,last,phone,email,address_1,address_2,city,state,zipcode,district_id] Table district, columns = [district_id,city,state_abbrev,division] Table events, columns = [Date received,Product,Sub-product,Issue,Sub-issue,Consumer complaint narrative,Tags,Consumer consent provided?,Submitted via,Date sent to company,Company response to consumer,Timely response?,Consumer disputed?,Complaint ID,Client_ID] Table reviews, columns = [*,Date,Stars,Reviews,Product,district_id] Table state, columns = [StateCode,State,Region] Foreign_keys = [callcenterlogs.rand client = client.client_id,client.district_id = district.district_id,district.state_abbrev = state.StateCode,events.Client_ID = client.client_id,events.Complaint ID = callcenterlogs.Complaint ID,reviews.district_id = district.district_id] Knowledge: Indianapolis refers to state = 'Indianapolis'; on 2016/10/7 refers to Date = '2013-04-04'; Question: Which product received a review from Indianapolis on 2016/10/7?

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'

{'state': ['StateCode', 'State', 'Region'], 'callcenterlogs': ['Date received', 'Complaint ID', 'rand client', 'phonefinal', 'vru+line', 'call_id', 'priority', 'type', 'outcome', 'server', 'ser_start', 'ser_exit', 'ser_time'], 'client': ['client_id', 'sex', 'day', 'month', 'year', 'age', 'social', 'first', 'middle', 'last', 'phone', 'email', 'address_1', 'address_2', 'city', 'state', 'zipcode', 'district_id'], 'district': ['district_id', 'city', 'state_abbrev', 'division'], 'events': ['Date received', 'Product', 'Sub-product', 'Issue', 'Sub-issue', 'Consumer complaint narrative', 'Tags', 'Consumer consent provided?', 'Submitted via', 'Date sent to company', 'Company response to consumer', 'Timely response?', 'Consumer disputed?', 'Complaint ID', 'Client_ID'], 'reviews': ['Date', 'Stars', 'Reviews', 'Product', 'district_id']}

retail_complains

Given the following database schema and relevant knowledge, use SQL to answer the question. Schema: Table callcenterlogs, columns = [Date received,Complaint ID,rand client,phonefinal,vru+line,call_id,priority,type,outcome,server,ser_start,ser_exit,ser_time] Table client, columns = [client_id,sex,day,month,year,age,social,first,middle,last,phone,email,address_1,address_2,city,state,zipcode,district_id] Table district, columns = [district_id,city,state_abbrev,division] Table events, columns = [Date received,Product,Sub-product,Issue,Sub-issue,Consumer complaint narrative,Tags,Consumer consent provided?,Submitted via,Date sent to company,Company response to consumer,Timely response?,Consumer disputed?,Complaint ID,Client_ID] Table reviews, columns = [*,Date,Stars,Reviews,Product,district_id] Table state, columns = [StateCode,State,Region] Foreign_keys = [callcenterlogs.rand client = client.client_id,client.district_id = district.district_id,district.state_abbrev = state.StateCode,events.Client_ID = client.client_id,events.Complaint ID = callcenterlogs.Complaint ID,reviews.district_id = district.district_id] Knowledge: Eagle Capital refers to Product = 'Eagle Capital'; Little Rock is a city; on 2013/4/4 refers to Date = '2013-04-04'; Question: How many stars did "Eagle Capital" received from Little Rock on 2013/4/4?

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'

{'state': ['StateCode', 'State', 'Region'], 'callcenterlogs': ['Date received', 'Complaint ID', 'rand client', 'phonefinal', 'vru+line', 'call_id', 'priority', 'type', 'outcome', 'server', 'ser_start', 'ser_exit', 'ser_time'], 'client': ['client_id', 'sex', 'day', 'month', 'year', 'age', 'social', 'first', 'middle', 'last', 'phone', 'email', 'address_1', 'address_2', 'city', 'state', 'zipcode', 'district_id'], 'district': ['district_id', 'city', 'state_abbrev', 'division'], 'events': ['Date received', 'Product', 'Sub-product', 'Issue', 'Sub-issue', 'Consumer complaint narrative', 'Tags', 'Consumer consent provided?', 'Submitted via', 'Date sent to company', 'Company response to consumer', 'Timely response?', 'Consumer disputed?', 'Complaint ID', 'Client_ID'], 'reviews': ['Date', 'Stars', 'Reviews', 'Product', 'district_id']}

retail_complains

Given the following database schema and relevant knowledge, use SQL to answer the question. Schema: Table callcenterlogs, columns = [Date received,Complaint ID,rand client,phonefinal,vru+line,call_id,priority,type,outcome,server,ser_start,ser_exit,ser_time] Table client, columns = [client_id,sex,day,month,year,age,social,first,middle,last,phone,email,address_1,address_2,city,state,zipcode,district_id] Table district, columns = [district_id,city,state_abbrev,division] Table events, columns = [Date received,Product,Sub-product,Issue,Sub-issue,Consumer complaint narrative,Tags,Consumer consent provided?,Submitted via,Date sent to company,Company response to consumer,Timely response?,Consumer disputed?,Complaint ID,Client_ID] Table reviews, columns = [*,Date,Stars,Reviews,Product,district_id] Table state, columns = [StateCode,State,Region] Foreign_keys = [callcenterlogs.rand client = client.client_id,client.district_id = district.district_id,district.state_abbrev = state.StateCode,events.Client_ID = client.client_id,events.Complaint ID = callcenterlogs.Complaint ID,reviews.district_id = district.district_id] Knowledge: complaint call refers to Complaint ID; birthday = year, month, day; Question: For the client who made the complaint call "CR0217298", what was his/her birthday？

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'

{'state': ['StateCode', 'State', 'Region'], 'callcenterlogs': ['Date received', 'Complaint ID', 'rand client', 'phonefinal', 'vru+line', 'call_id', 'priority', 'type', 'outcome', 'server', 'ser_start', 'ser_exit', 'ser_time'], 'client': ['client_id', 'sex', 'day', 'month', 'year', 'age', 'social', 'first', 'middle', 'last', 'phone', 'email', 'address_1', 'address_2', 'city', 'state', 'zipcode', 'district_id'], 'district': ['district_id', 'city', 'state_abbrev', 'division'], 'events': ['Date received', 'Product', 'Sub-product', 'Issue', 'Sub-issue', 'Consumer complaint narrative', 'Tags', 'Consumer consent provided?', 'Submitted via', 'Date sent to company', 'Company response to consumer', 'Timely response?', 'Consumer disputed?', 'Complaint ID', 'Client_ID'], 'reviews': ['Date', 'Stars', 'Reviews', 'Product', 'district_id']}

retail_complains

Given the following database schema and relevant knowledge, use SQL to answer the question. Schema: Table callcenterlogs, columns = [Date received,Complaint ID,rand client,phonefinal,vru+line,call_id,priority,type,outcome,server,ser_start,ser_exit,ser_time] Table client, columns = [client_id,sex,day,month,year,age,social,first,middle,last,phone,email,address_1,address_2,city,state,zipcode,district_id] Table district, columns = [district_id,city,state_abbrev,division] Table events, columns = [Date received,Product,Sub-product,Issue,Sub-issue,Consumer complaint narrative,Tags,Consumer consent provided?,Submitted via,Date sent to company,Company response to consumer,Timely response?,Consumer disputed?,Complaint ID,Client_ID] Table reviews, columns = [*,Date,Stars,Reviews,Product,district_id] Table state, columns = [StateCode,State,Region] Foreign_keys = [callcenterlogs.rand client = client.client_id,client.district_id = district.district_id,district.state_abbrev = state.StateCode,events.Client_ID = client.client_id,events.Complaint ID = callcenterlogs.Complaint ID,reviews.district_id = district.district_id] Knowledge: complaint call refers to Complaint ID; Question: What was the phone of number of the client who made the complaint call "CR0100432" ？

SELECT T1.phone FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T2.`Complaint ID` = 'CR0100432'

{'state': ['StateCode', 'State', 'Region'], 'callcenterlogs': ['Date received', 'Complaint ID', 'rand client', 'phonefinal', 'vru+line', 'call_id', 'priority', 'type', 'outcome', 'server', 'ser_start', 'ser_exit', 'ser_time'], 'client': ['client_id', 'sex', 'day', 'month', 'year', 'age', 'social', 'first', 'middle', 'last', 'phone', 'email', 'address_1', 'address_2', 'city', 'state', 'zipcode', 'district_id'], 'district': ['district_id', 'city', 'state_abbrev', 'division'], 'events': ['Date received', 'Product', 'Sub-product', 'Issue', 'Sub-issue', 'Consumer complaint narrative', 'Tags', 'Consumer consent provided?', 'Submitted via', 'Date sent to company', 'Company response to consumer', 'Timely response?', 'Consumer disputed?', 'Complaint ID', 'Client_ID'], 'reviews': ['Date', 'Stars', 'Reviews', 'Product', 'district_id']}

retail_complains

Given the following database schema and relevant knowledge, use SQL to answer the question. Schema: Table callcenterlogs, columns = [Date received,Complaint ID,rand client,phonefinal,vru+line,call_id,priority,type,outcome,server,ser_start,ser_exit,ser_time] Table client, columns = [client_id,sex,day,month,year,age,social,first,middle,last,phone,email,address_1,address_2,city,state,zipcode,district_id] Table district, columns = [district_id,city,state_abbrev,division] Table events, columns = [Date received,Product,Sub-product,Issue,Sub-issue,Consumer complaint narrative,Tags,Consumer consent provided?,Submitted via,Date sent to company,Company response to consumer,Timely response?,Consumer disputed?,Complaint ID,Client_ID] Table reviews, columns = [*,Date,Stars,Reviews,Product,district_id] Table state, columns = [StateCode,State,Region] Foreign_keys = [callcenterlogs.rand client = client.client_id,client.district_id = district.district_id,district.state_abbrev = state.StateCode,events.Client_ID = client.client_id,events.Complaint ID = callcenterlogs.Complaint ID,reviews.district_id = district.district_id] Knowledge: on 2017/3/27 refers to "Date received" = '2017-03-27'; percentage = MULTIPLY(DIVIDE(SUM(sex = 'Female' ), COUNT(client_id)), 1.0); females refers to sex = 'Female'; Question: For all the complaint callers on 2017/3/27, what percentage of the clients are females?

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'

{'state': ['StateCode', 'State', 'Region'], 'callcenterlogs': ['Date received', 'Complaint ID', 'rand client', 'phonefinal', 'vru+line', 'call_id', 'priority', 'type', 'outcome', 'server', 'ser_start', 'ser_exit', 'ser_time'], 'client': ['client_id', 'sex', 'day', 'month', 'year', 'age', 'social', 'first', 'middle', 'last', 'phone', 'email', 'address_1', 'address_2', 'city', 'state', 'zipcode', 'district_id'], 'district': ['district_id', 'city', 'state_abbrev', 'division'], 'events': ['Date received', 'Product', 'Sub-product', 'Issue', 'Sub-issue', 'Consumer complaint narrative', 'Tags', 'Consumer consent provided?', 'Submitted via', 'Date sent to company', 'Company response to consumer', 'Timely response?', 'Consumer disputed?', 'Complaint ID', 'Client_ID'], 'reviews': ['Date', 'Stars', 'Reviews', 'Product', 'district_id']}

retail_complains

Given the following database schema and relevant knowledge, use SQL to answer the question. Schema: Table callcenterlogs, columns = [Date received,Complaint ID,rand client,phonefinal,vru+line,call_id,priority,type,outcome,server,ser_start,ser_exit,ser_time] Table client, columns = [client_id,sex,day,month,year,age,social,first,middle,last,phone,email,address_1,address_2,city,state,zipcode,district_id] Table district, columns = [district_id,city,state_abbrev,division] Table events, columns = [Date received,Product,Sub-product,Issue,Sub-issue,Consumer complaint narrative,Tags,Consumer consent provided?,Submitted via,Date sent to company,Company response to consumer,Timely response?,Consumer disputed?,Complaint ID,Client_ID] Table reviews, columns = [*,Date,Stars,Reviews,Product,district_id] Table state, columns = [StateCode,State,Region] Foreign_keys = [callcenterlogs.rand client = client.client_id,client.district_id = district.district_id,district.state_abbrev = state.StateCode,events.Client_ID = client.client_id,events.Complaint ID = callcenterlogs.Complaint ID,reviews.district_id = district.district_id] Knowledge: percentage = MULTIPLY(DIVIDE(SUM("Consumer consent provided?" = 'Consent provided'), COUNT(client_id)), 1.0); Mr refers to sex = 'Male'; consent provided by the customer refers to "Consumer consent provided?" = 'Consent provided'; Question: What is the percentage of the complaint calls from Mr Mason Javen Lopez has got the consent provided by the customer?

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'

{'state': ['StateCode', 'State', 'Region'], 'callcenterlogs': ['Date received', 'Complaint ID', 'rand client', 'phonefinal', 'vru+line', 'call_id', 'priority', 'type', 'outcome', 'server', 'ser_start', 'ser_exit', 'ser_time'], 'client': ['client_id', 'sex', 'day', 'month', 'year', 'age', 'social', 'first', 'middle', 'last', 'phone', 'email', 'address_1', 'address_2', 'city', 'state', 'zipcode', 'district_id'], 'district': ['district_id', 'city', 'state_abbrev', 'division'], 'events': ['Date received', 'Product', 'Sub-product', 'Issue', 'Sub-issue', 'Consumer complaint narrative', 'Tags', 'Consumer consent provided?', 'Submitted via', 'Date sent to company', 'Company response to consumer', 'Timely response?', 'Consumer disputed?', 'Complaint ID', 'Client_ID'], 'reviews': ['Date', 'Stars', 'Reviews', 'Product', 'district_id']}

retail_complains

Given the following database schema and relevant knowledge, use SQL to answer the question. Schema: Table callcenterlogs, columns = [Date received,Complaint ID,rand client,phonefinal,vru+line,call_id,priority,type,outcome,server,ser_start,ser_exit,ser_time] Table client, columns = [client_id,sex,day,month,year,age,social,first,middle,last,phone,email,address_1,address_2,city,state,zipcode,district_id] Table district, columns = [district_id,city,state_abbrev,division] Table events, columns = [Date received,Product,Sub-product,Issue,Sub-issue,Consumer complaint narrative,Tags,Consumer consent provided?,Submitted via,Date sent to company,Company response to consumer,Timely response?,Consumer disputed?,Complaint ID,Client_ID] Table reviews, columns = [*,Date,Stars,Reviews,Product,district_id] Table state, columns = [StateCode,State,Region] Foreign_keys = [callcenterlogs.rand client = client.client_id,client.district_id = district.district_id,district.state_abbrev = state.StateCode,events.Client_ID = client.client_id,events.Complaint ID = callcenterlogs.Complaint ID,reviews.district_id = district.district_id] Knowledge: urgent complaints refers to priority = 2; march of 2017 refers to "Date received" BETWEEN '2017-01-01' AND '2017-01-31'; Question: How many priority urgent complaints were received in march of 2017? List the complaint ID of these complaints.

SELECT COUNT(`Complaint ID`) FROM callcenterlogs WHERE `Date received` LIKE '2017-01%' AND priority = ( SELECT MAX(priority) FROM callcenterlogs )

{'state': ['StateCode', 'State', 'Region'], 'callcenterlogs': ['Date received', 'Complaint ID', 'rand client', 'phonefinal', 'vru+line', 'call_id', 'priority', 'type', 'outcome', 'server', 'ser_start', 'ser_exit', 'ser_time'], 'client': ['client_id', 'sex', 'day', 'month', 'year', 'age', 'social', 'first', 'middle', 'last', 'phone', 'email', 'address_1', 'address_2', 'city', 'state', 'zipcode', 'district_id'], 'district': ['district_id', 'city', 'state_abbrev', 'division'], 'events': ['Date received', 'Product', 'Sub-product', 'Issue', 'Sub-issue', 'Consumer complaint narrative', 'Tags', 'Consumer consent provided?', 'Submitted via', 'Date sent to company', 'Company response to consumer', 'Timely response?', 'Consumer disputed?', 'Complaint ID', 'Client_ID'], 'reviews': ['Date', 'Stars', 'Reviews', 'Product', 'district_id']}

retail_complains

Given the following database schema and relevant knowledge, use SQL to answer the question. Schema: Table callcenterlogs, columns = [Date received,Complaint ID,rand client,phonefinal,vru+line,call_id,priority,type,outcome,server,ser_start,ser_exit,ser_time] Table client, columns = [client_id,sex,day,month,year,age,social,first,middle,last,phone,email,address_1,address_2,city,state,zipcode,district_id] Table district, columns = [district_id,city,state_abbrev,division] Table events, columns = [Date received,Product,Sub-product,Issue,Sub-issue,Consumer complaint narrative,Tags,Consumer consent provided?,Submitted via,Date sent to company,Company response to consumer,Timely response?,Consumer disputed?,Complaint ID,Client_ID] Table reviews, columns = [*,Date,Stars,Reviews,Product,district_id] Table state, columns = [StateCode,State,Region] Foreign_keys = [callcenterlogs.rand client = client.client_id,client.district_id = district.district_id,district.state_abbrev = state.StateCode,events.Client_ID = client.client_id,events.Complaint ID = callcenterlogs.Complaint ID,reviews.district_id = district.district_id] Knowledge: full name = first, middle, last; date of birth = year, month, day; elderly clients refers to age > 65; Question: Please list the full name, date of birth, and email id of the elderly clients in descending order of age.

SELECT first, middle, last, year, month , day, email FROM client WHERE age > 65 ORDER BY age DESC

{'state': ['StateCode', 'State', 'Region'], 'callcenterlogs': ['Date received', 'Complaint ID', 'rand client', 'phonefinal', 'vru+line', 'call_id', 'priority', 'type', 'outcome', 'server', 'ser_start', 'ser_exit', 'ser_time'], 'client': ['client_id', 'sex', 'day', 'month', 'year', 'age', 'social', 'first', 'middle', 'last', 'phone', 'email', 'address_1', 'address_2', 'city', 'state', 'zipcode', 'district_id'], 'district': ['district_id', 'city', 'state_abbrev', 'division'], 'events': ['Date received', 'Product', 'Sub-product', 'Issue', 'Sub-issue', 'Consumer complaint narrative', 'Tags', 'Consumer consent provided?', 'Submitted via', 'Date sent to company', 'Company response to consumer', 'Timely response?', 'Consumer disputed?', 'Complaint ID', 'Client_ID'], 'reviews': ['Date', 'Stars', 'Reviews', 'Product', 'district_id']}

retail_complains

Given the following database schema and relevant knowledge, use SQL to answer the question. Schema: Table callcenterlogs, columns = [Date received,Complaint ID,rand client,phonefinal,vru+line,call_id,priority,type,outcome,server,ser_start,ser_exit,ser_time] Table client, columns = [client_id,sex,day,month,year,age,social,first,middle,last,phone,email,address_1,address_2,city,state,zipcode,district_id] Table district, columns = [district_id,city,state_abbrev,division] Table events, columns = [Date received,Product,Sub-product,Issue,Sub-issue,Consumer complaint narrative,Tags,Consumer consent provided?,Submitted via,Date sent to company,Company response to consumer,Timely response?,Consumer disputed?,Complaint ID,Client_ID] Table reviews, columns = [*,Date,Stars,Reviews,Product,district_id] Table state, columns = [StateCode,State,Region] Foreign_keys = [callcenterlogs.rand client = client.client_id,client.district_id = district.district_id,district.state_abbrev = state.StateCode,events.Client_ID = client.client_id,events.Complaint ID = callcenterlogs.Complaint ID,reviews.district_id = district.district_id] Knowledge: most five stars refers to MAX(COUNT(stars = 5)); Question: Which product got the most five stars, and how many?

SELECT T.Product, MAX(T.num) FROM ( SELECT Product, COUNT(Stars) AS num FROM reviews WHERE Stars = 5 GROUP BY Product ) T

{'state': ['StateCode', 'State', 'Region'], 'callcenterlogs': ['Date received', 'Complaint ID', 'rand client', 'phonefinal', 'vru+line', 'call_id', 'priority', 'type', 'outcome', 'server', 'ser_start', 'ser_exit', 'ser_time'], 'client': ['client_id', 'sex', 'day', 'month', 'year', 'age', 'social', 'first', 'middle', 'last', 'phone', 'email', 'address_1', 'address_2', 'city', 'state', 'zipcode', 'district_id'], 'district': ['district_id', 'city', 'state_abbrev', 'division'], 'events': ['Date received', 'Product', 'Sub-product', 'Issue', 'Sub-issue', 'Consumer complaint narrative', 'Tags', 'Consumer consent provided?', 'Submitted via', 'Date sent to company', 'Company response to consumer', 'Timely response?', 'Consumer disputed?', 'Complaint ID', 'Client_ID'], 'reviews': ['Date', 'Stars', 'Reviews', 'Product', 'district_id']}

retail_complains

Given the following database schema and relevant knowledge, use SQL to answer the question. Schema: Table callcenterlogs, columns = [Date received,Complaint ID,rand client,phonefinal,vru+line,call_id,priority,type,outcome,server,ser_start,ser_exit,ser_time] Table client, columns = [client_id,sex,day,month,year,age,social,first,middle,last,phone,email,address_1,address_2,city,state,zipcode,district_id] Table district, columns = [district_id,city,state_abbrev,division] Table events, columns = [Date received,Product,Sub-product,Issue,Sub-issue,Consumer complaint narrative,Tags,Consumer consent provided?,Submitted via,Date sent to company,Company response to consumer,Timely response?,Consumer disputed?,Complaint ID,Client_ID] Table reviews, columns = [*,Date,Stars,Reviews,Product,district_id] Table state, columns = [StateCode,State,Region] Foreign_keys = [callcenterlogs.rand client = client.client_id,client.district_id = district.district_id,district.state_abbrev = state.StateCode,events.Client_ID = client.client_id,events.Complaint ID = callcenterlogs.Complaint ID,reviews.district_id = district.district_id] Knowledge: Question: List all the states in the South region.

SELECT state FROM state WHERE Region = 'South'

{'state': ['StateCode', 'State', 'Region'], 'callcenterlogs': ['Date received', 'Complaint ID', 'rand client', 'phonefinal', 'vru+line', 'call_id', 'priority', 'type', 'outcome', 'server', 'ser_start', 'ser_exit', 'ser_time'], 'client': ['client_id', 'sex', 'day', 'month', 'year', 'age', 'social', 'first', 'middle', 'last', 'phone', 'email', 'address_1', 'address_2', 'city', 'state', 'zipcode', 'district_id'], 'district': ['district_id', 'city', 'state_abbrev', 'division'], 'events': ['Date received', 'Product', 'Sub-product', 'Issue', 'Sub-issue', 'Consumer complaint narrative', 'Tags', 'Consumer consent provided?', 'Submitted via', 'Date sent to company', 'Company response to consumer', 'Timely response?', 'Consumer disputed?', 'Complaint ID', 'Client_ID'], 'reviews': ['Date', 'Stars', 'Reviews', 'Product', 'district_id']}

retail_complains

Given the following database schema and relevant knowledge, use SQL to answer the question. Schema: Table callcenterlogs, columns = [Date received,Complaint ID,rand client,phonefinal,vru+line,call_id,priority,type,outcome,server,ser_start,ser_exit,ser_time] Table client, columns = [client_id,sex,day,month,year,age,social,first,middle,last,phone,email,address_1,address_2,city,state,zipcode,district_id] Table district, columns = [district_id,city,state_abbrev,division] Table events, columns = [Date received,Product,Sub-product,Issue,Sub-issue,Consumer complaint narrative,Tags,Consumer consent provided?,Submitted via,Date sent to company,Company response to consumer,Timely response?,Consumer disputed?,Complaint ID,Client_ID] Table reviews, columns = [*,Date,Stars,Reviews,Product,district_id] Table state, columns = [StateCode,State,Region] Foreign_keys = [callcenterlogs.rand client = client.client_id,client.district_id = district.district_id,district.state_abbrev = state.StateCode,events.Client_ID = client.client_id,events.Complaint ID = callcenterlogs.Complaint ID,reviews.district_id = district.district_id] Knowledge: email id refers to email; calls were hung refers to outcome = 'Hang'; Question: What is the email id of clients whose calls were hung?

SELECT T1.email FROM client AS T1 INNER JOIN callcenterlogs AS T2 ON T1.client_id = T2.`rand client` WHERE T2.outcome = 'HANG'

{'state': ['StateCode', 'State', 'Region'], 'callcenterlogs': ['Date received', 'Complaint ID', 'rand client', 'phonefinal', 'vru+line', 'call_id', 'priority', 'type', 'outcome', 'server', 'ser_start', 'ser_exit', 'ser_time'], 'client': ['client_id', 'sex', 'day', 'month', 'year', 'age', 'social', 'first', 'middle', 'last', 'phone', 'email', 'address_1', 'address_2', 'city', 'state', 'zipcode', 'district_id'], 'district': ['district_id', 'city', 'state_abbrev', 'division'], 'events': ['Date received', 'Product', 'Sub-product', 'Issue', 'Sub-issue', 'Consumer complaint narrative', 'Tags', 'Consumer consent provided?', 'Submitted via', 'Date sent to company', 'Company response to consumer', 'Timely response?', 'Consumer disputed?', 'Complaint ID', 'Client_ID'], 'reviews': ['Date', 'Stars', 'Reviews', 'Product', 'district_id']}

retail_complains

Given the following database schema and relevant knowledge, use SQL to answer the question. Schema: Table callcenterlogs, columns = [Date received,Complaint ID,rand client,phonefinal,vru+line,call_id,priority,type,outcome,server,ser_start,ser_exit,ser_time] Table client, columns = [client_id,sex,day,month,year,age,social,first,middle,last,phone,email,address_1,address_2,city,state,zipcode,district_id] Table district, columns = [district_id,city,state_abbrev,division] Table events, columns = [Date received,Product,Sub-product,Issue,Sub-issue,Consumer complaint narrative,Tags,Consumer consent provided?,Submitted via,Date sent to company,Company response to consumer,Timely response?,Consumer disputed?,Complaint ID,Client_ID] Table reviews, columns = [*,Date,Stars,Reviews,Product,district_id] Table state, columns = [StateCode,State,Region] Foreign_keys = [callcenterlogs.rand client = client.client_id,client.district_id = district.district_id,district.state_abbrev = state.StateCode,events.Client_ID = client.client_id,events.Complaint ID = callcenterlogs.Complaint ID,reviews.district_id = district.district_id] Knowledge: average age = AVG(age); Question: Calculate the average age of clients from the Midwest region.

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'

{'state': ['StateCode', 'State', 'Region'], 'callcenterlogs': ['Date received', 'Complaint ID', 'rand client', 'phonefinal', 'vru+line', 'call_id', 'priority', 'type', 'outcome', 'server', 'ser_start', 'ser_exit', 'ser_time'], 'client': ['client_id', 'sex', 'day', 'month', 'year', 'age', 'social', 'first', 'middle', 'last', 'phone', 'email', 'address_1', 'address_2', 'city', 'state', 'zipcode', 'district_id'], 'district': ['district_id', 'city', 'state_abbrev', 'division'], 'events': ['Date received', 'Product', 'Sub-product', 'Issue', 'Sub-issue', 'Consumer complaint narrative', 'Tags', 'Consumer consent provided?', 'Submitted via', 'Date sent to company', 'Company response to consumer', 'Timely response?', 'Consumer disputed?', 'Complaint ID', 'Client_ID'], 'reviews': ['Date', 'Stars', 'Reviews', 'Product', 'district_id']}

retail_complains

Given the following database schema and relevant knowledge, use SQL to answer the question. Schema: Table callcenterlogs, columns = [Date received,Complaint ID,rand client,phonefinal,vru+line,call_id,priority,type,outcome,server,ser_start,ser_exit,ser_time] Table client, columns = [client_id,sex,day,month,year,age,social,first,middle,last,phone,email,address_1,address_2,city,state,zipcode,district_id] Table district, columns = [district_id,city,state_abbrev,division] Table events, columns = [Date received,Product,Sub-product,Issue,Sub-issue,Consumer complaint narrative,Tags,Consumer consent provided?,Submitted via,Date sent to company,Company response to consumer,Timely response?,Consumer disputed?,Complaint ID,Client_ID] Table reviews, columns = [*,Date,Stars,Reviews,Product,district_id] Table state, columns = [StateCode,State,Region] Foreign_keys = [callcenterlogs.rand client = client.client_id,client.district_id = district.district_id,district.state_abbrev = state.StateCode,events.Client_ID = client.client_id,events.Complaint ID = callcenterlogs.Complaint ID,reviews.district_id = district.district_id] Knowledge: full name = first, middle, last; submitted the complaint via fax refers to "Submitted via" = 'fax'; Question: List the full name and phone number of clients who submitted the complaint via fax.

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'

{'state': ['StateCode', 'State', 'Region'], 'callcenterlogs': ['Date received', 'Complaint ID', 'rand client', 'phonefinal', 'vru+line', 'call_id', 'priority', 'type', 'outcome', 'server', 'ser_start', 'ser_exit', 'ser_time'], 'client': ['client_id', 'sex', 'day', 'month', 'year', 'age', 'social', 'first', 'middle', 'last', 'phone', 'email', 'address_1', 'address_2', 'city', 'state', 'zipcode', 'district_id'], 'district': ['district_id', 'city', 'state_abbrev', 'division'], 'events': ['Date received', 'Product', 'Sub-product', 'Issue', 'Sub-issue', 'Consumer complaint narrative', 'Tags', 'Consumer consent provided?', 'Submitted via', 'Date sent to company', 'Company response to consumer', 'Timely response?', 'Consumer disputed?', 'Complaint ID', 'Client_ID'], 'reviews': ['Date', 'Stars', 'Reviews', 'Product', 'district_id']}

retail_complains

Given the following database schema and relevant knowledge, use SQL to answer the question. Schema: Table callcenterlogs, columns = [Date received,Complaint ID,rand client,phonefinal,vru+line,call_id,priority,type,outcome,server,ser_start,ser_exit,ser_time] Table client, columns = [client_id,sex,day,month,year,age,social,first,middle,last,phone,email,address_1,address_2,city,state,zipcode,district_id] Table district, columns = [district_id,city,state_abbrev,division] Table events, columns = [Date received,Product,Sub-product,Issue,Sub-issue,Consumer complaint narrative,Tags,Consumer consent provided?,Submitted via,Date sent to company,Company response to consumer,Timely response?,Consumer disputed?,Complaint ID,Client_ID] Table reviews, columns = [*,Date,Stars,Reviews,Product,district_id] Table state, columns = [StateCode,State,Region] Foreign_keys = [callcenterlogs.rand client = client.client_id,client.district_id = district.district_id,district.state_abbrev = state.StateCode,events.Client_ID = client.client_id,events.Complaint ID = callcenterlogs.Complaint ID,reviews.district_id = district.district_id] Knowledge: below average = AVG(stars) < Stars; Eagle Capital refers to Product = 'Eagle Capital'; Question: Find and list the names of districts which has below-average stars for Eagle Capital.

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 )

{'state': ['StateCode', 'State', 'Region'], 'callcenterlogs': ['Date received', 'Complaint ID', 'rand client', 'phonefinal', 'vru+line', 'call_id', 'priority', 'type', 'outcome', 'server', 'ser_start', 'ser_exit', 'ser_time'], 'client': ['client_id', 'sex', 'day', 'month', 'year', 'age', 'social', 'first', 'middle', 'last', 'phone', 'email', 'address_1', 'address_2', 'city', 'state', 'zipcode', 'district_id'], 'district': ['district_id', 'city', 'state_abbrev', 'division'], 'events': ['Date received', 'Product', 'Sub-product', 'Issue', 'Sub-issue', 'Consumer complaint narrative', 'Tags', 'Consumer consent provided?', 'Submitted via', 'Date sent to company', 'Company response to consumer', 'Timely response?', 'Consumer disputed?', 'Complaint ID', 'Client_ID'], 'reviews': ['Date', 'Stars', 'Reviews', 'Product', 'district_id']}

retail_complains

Given the following database schema and relevant knowledge, use SQL to answer the question. Schema: Table callcenterlogs, columns = [Date received,Complaint ID,rand client,phonefinal,vru+line,call_id,priority,type,outcome,server,ser_start,ser_exit,ser_time] Table client, columns = [client_id,sex,day,month,year,age,social,first,middle,last,phone,email,address_1,address_2,city,state,zipcode,district_id] Table district, columns = [district_id,city,state_abbrev,division] Table events, columns = [Date received,Product,Sub-product,Issue,Sub-issue,Consumer complaint narrative,Tags,Consumer consent provided?,Submitted via,Date sent to company,Company response to consumer,Timely response?,Consumer disputed?,Complaint ID,Client_ID] Table reviews, columns = [*,Date,Stars,Reviews,Product,district_id] Table state, columns = [StateCode,State,Region] Foreign_keys = [callcenterlogs.rand client = client.client_id,client.district_id = district.district_id,district.state_abbrev = state.StateCode,events.Client_ID = client.client_id,events.Complaint ID = callcenterlogs.Complaint ID,reviews.district_id = district.district_id] Knowledge: teenage refers to age BETWEEN 12 AND 20; Question: In the calls from the mountain division, how many are from teenage clients?

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'

{'state': ['StateCode', 'State', 'Region'], 'callcenterlogs': ['Date received', 'Complaint ID', 'rand client', 'phonefinal', 'vru+line', 'call_id', 'priority', 'type', 'outcome', 'server', 'ser_start', 'ser_exit', 'ser_time'], 'client': ['client_id', 'sex', 'day', 'month', 'year', 'age', 'social', 'first', 'middle', 'last', 'phone', 'email', 'address_1', 'address_2', 'city', 'state', 'zipcode', 'district_id'], 'district': ['district_id', 'city', 'state_abbrev', 'division'], 'events': ['Date received', 'Product', 'Sub-product', 'Issue', 'Sub-issue', 'Consumer complaint narrative', 'Tags', 'Consumer consent provided?', 'Submitted via', 'Date sent to company', 'Company response to consumer', 'Timely response?', 'Consumer disputed?', 'Complaint ID', 'Client_ID'], 'reviews': ['Date', 'Stars', 'Reviews', 'Product', 'district_id']}

retail_complains

Given the following database schema and relevant knowledge, use SQL to answer the question. Schema: Table callcenterlogs, columns = [Date received,Complaint ID,rand client,phonefinal,vru+line,call_id,priority,type,outcome,server,ser_start,ser_exit,ser_time] Table client, columns = [client_id,sex,day,month,year,age,social,first,middle,last,phone,email,address_1,address_2,city,state,zipcode,district_id] Table district, columns = [district_id,city,state_abbrev,division] Table events, columns = [Date received,Product,Sub-product,Issue,Sub-issue,Consumer complaint narrative,Tags,Consumer consent provided?,Submitted via,Date sent to company,Company response to consumer,Timely response?,Consumer disputed?,Complaint ID,Client_ID] Table reviews, columns = [*,Date,Stars,Reviews,Product,district_id] Table state, columns = [StateCode,State,Region] Foreign_keys = [callcenterlogs.rand client = client.client_id,client.district_id = district.district_id,district.state_abbrev = state.StateCode,events.Client_ID = client.client_id,events.Complaint ID = callcenterlogs.Complaint ID,reviews.district_id = district.district_id] Knowledge: Credit cards refers to Product = 'Credit card'; female refers to sex = 'female'; Question: What is the number of complaints related to Credit cards came from female clients?

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'

{'state': ['StateCode', 'State', 'Region'], 'callcenterlogs': ['Date received', 'Complaint ID', 'rand client', 'phonefinal', 'vru+line', 'call_id', 'priority', 'type', 'outcome', 'server', 'ser_start', 'ser_exit', 'ser_time'], 'client': ['client_id', 'sex', 'day', 'month', 'year', 'age', 'social', 'first', 'middle', 'last', 'phone', 'email', 'address_1', 'address_2', 'city', 'state', 'zipcode', 'district_id'], 'district': ['district_id', 'city', 'state_abbrev', 'division'], 'events': ['Date received', 'Product', 'Sub-product', 'Issue', 'Sub-issue', 'Consumer complaint narrative', 'Tags', 'Consumer consent provided?', 'Submitted via', 'Date sent to company', 'Company response to consumer', 'Timely response?', 'Consumer disputed?', 'Complaint ID', 'Client_ID'], 'reviews': ['Date', 'Stars', 'Reviews', 'Product', 'district_id']}

retail_complains

Given the following database schema and relevant knowledge, use SQL to answer the question. Schema: Table callcenterlogs, columns = [Date received,Complaint ID,rand client,phonefinal,vru+line,call_id,priority,type,outcome,server,ser_start,ser_exit,ser_time] Table client, columns = [client_id,sex,day,month,year,age,social,first,middle,last,phone,email,address_1,address_2,city,state,zipcode,district_id] Table district, columns = [district_id,city,state_abbrev,division] Table events, columns = [Date received,Product,Sub-product,Issue,Sub-issue,Consumer complaint narrative,Tags,Consumer consent provided?,Submitted via,Date sent to company,Company response to consumer,Timely response?,Consumer disputed?,Complaint ID,Client_ID] Table reviews, columns = [*,Date,Stars,Reviews,Product,district_id] Table state, columns = [StateCode,State,Region] Foreign_keys = [callcenterlogs.rand client = client.client_id,client.district_id = district.district_id,district.state_abbrev = state.StateCode,events.Client_ID = client.client_id,events.Complaint ID = callcenterlogs.Complaint ID,reviews.district_id = district.district_id] Knowledge: born between 1980 and 2000 refers to year BETWEEN 1980 AND 2000; name = first, middle, last; male refers to sex = 'Male'; complained through refers to "Submitted via"; Question: Among the clients born between 1980 and 2000, list the name of male clients who complained through referral.

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'

{'state': ['StateCode', 'State', 'Region'], 'callcenterlogs': ['Date received', 'Complaint ID', 'rand client', 'phonefinal', 'vru+line', 'call_id', 'priority', 'type', 'outcome', 'server', 'ser_start', 'ser_exit', 'ser_time'], 'client': ['client_id', 'sex', 'day', 'month', 'year', 'age', 'social', 'first', 'middle', 'last', 'phone', 'email', 'address_1', 'address_2', 'city', 'state', 'zipcode', 'district_id'], 'district': ['district_id', 'city', 'state_abbrev', 'division'], 'events': ['Date received', 'Product', 'Sub-product', 'Issue', 'Sub-issue', 'Consumer complaint narrative', 'Tags', 'Consumer consent provided?', 'Submitted via', 'Date sent to company', 'Company response to consumer', 'Timely response?', 'Consumer disputed?', 'Complaint ID', 'Client_ID'], 'reviews': ['Date', 'Stars', 'Reviews', 'Product', 'district_id']}

retail_complains

Given the following database schema and relevant knowledge, use SQL to answer the question. Schema: Table callcenterlogs, columns = [Date received,Complaint ID,rand client,phonefinal,vru+line,call_id,priority,type,outcome,server,ser_start,ser_exit,ser_time] Table client, columns = [client_id,sex,day,month,year,age,social,first,middle,last,phone,email,address_1,address_2,city,state,zipcode,district_id] Table district, columns = [district_id,city,state_abbrev,division] Table events, columns = [Date received,Product,Sub-product,Issue,Sub-issue,Consumer complaint narrative,Tags,Consumer consent provided?,Submitted via,Date sent to company,Company response to consumer,Timely response?,Consumer disputed?,Complaint ID,Client_ID] Table reviews, columns = [*,Date,Stars,Reviews,Product,district_id] Table state, columns = [StateCode,State,Region] Foreign_keys = [callcenterlogs.rand client = client.client_id,client.district_id = district.district_id,district.state_abbrev = state.StateCode,events.Client_ID = client.client_id,events.Complaint ID = callcenterlogs.Complaint ID,reviews.district_id = district.district_id] Knowledge: medium refers to "Submitted via"; most complaints refers to MAX(Complaint ID); Florida refers to state = 'florida'; Question: What is the medium through which most complaints are registered in Florida?

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

{'state': ['StateCode', 'State', 'Region'], 'callcenterlogs': ['Date received', 'Complaint ID', 'rand client', 'phonefinal', 'vru+line', 'call_id', 'priority', 'type', 'outcome', 'server', 'ser_start', 'ser_exit', 'ser_time'], 'client': ['client_id', 'sex', 'day', 'month', 'year', 'age', 'social', 'first', 'middle', 'last', 'phone', 'email', 'address_1', 'address_2', 'city', 'state', 'zipcode', 'district_id'], 'district': ['district_id', 'city', 'state_abbrev', 'division'], 'events': ['Date received', 'Product', 'Sub-product', 'Issue', 'Sub-issue', 'Consumer complaint narrative', 'Tags', 'Consumer consent provided?', 'Submitted via', 'Date sent to company', 'Company response to consumer', 'Timely response?', 'Consumer disputed?', 'Complaint ID', 'Client_ID'], 'reviews': ['Date', 'Stars', 'Reviews', 'Product', 'district_id']}

retail_complains

Given the following database schema and relevant knowledge, use SQL to answer the question. Schema: Table callcenterlogs, columns = [Date received,Complaint ID,rand client,phonefinal,vru+line,call_id,priority,type,outcome,server,ser_start,ser_exit,ser_time] Table client, columns = [client_id,sex,day,month,year,age,social,first,middle,last,phone,email,address_1,address_2,city,state,zipcode,district_id] Table district, columns = [district_id,city,state_abbrev,division] Table events, columns = [Date received,Product,Sub-product,Issue,Sub-issue,Consumer complaint narrative,Tags,Consumer consent provided?,Submitted via,Date sent to company,Company response to consumer,Timely response?,Consumer disputed?,Complaint ID,Client_ID] Table reviews, columns = [*,Date,Stars,Reviews,Product,district_id] Table state, columns = [StateCode,State,Region] Foreign_keys = [callcenterlogs.rand client = client.client_id,client.district_id = district.district_id,district.state_abbrev = state.StateCode,events.Client_ID = client.client_id,events.Complaint ID = callcenterlogs.Complaint ID,reviews.district_id = district.district_id] Knowledge: average = AVG("Complaint ID"); New Bedford refers to city = 'New Bedford'; closed with explanation refers to Company response to consumer = 'Closed with explanation'; Question: Calculate the average number of complaints received from New Bedford each year which are closed with explanation.

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`)

{'state': ['StateCode', 'State', 'Region'], 'callcenterlogs': ['Date received', 'Complaint ID', 'rand client', 'phonefinal', 'vru+line', 'call_id', 'priority', 'type', 'outcome', 'server', 'ser_start', 'ser_exit', 'ser_time'], 'client': ['client_id', 'sex', 'day', 'month', 'year', 'age', 'social', 'first', 'middle', 'last', 'phone', 'email', 'address_1', 'address_2', 'city', 'state', 'zipcode', 'district_id'], 'district': ['district_id', 'city', 'state_abbrev', 'division'], 'events': ['Date received', 'Product', 'Sub-product', 'Issue', 'Sub-issue', 'Consumer complaint narrative', 'Tags', 'Consumer consent provided?', 'Submitted via', 'Date sent to company', 'Company response to consumer', 'Timely response?', 'Consumer disputed?', 'Complaint ID', 'Client_ID'], 'reviews': ['Date', 'Stars', 'Reviews', 'Product', 'district_id']}

retail_complains

Given the following database schema and relevant knowledge, use SQL to answer the question. Schema: Table callcenterlogs, columns = [Date received,Complaint ID,rand client,phonefinal,vru+line,call_id,priority,type,outcome,server,ser_start,ser_exit,ser_time] Table client, columns = [client_id,sex,day,month,year,age,social,first,middle,last,phone,email,address_1,address_2,city,state,zipcode,district_id] Table district, columns = [district_id,city,state_abbrev,division] Table events, columns = [Date received,Product,Sub-product,Issue,Sub-issue,Consumer complaint narrative,Tags,Consumer consent provided?,Submitted via,Date sent to company,Company response to consumer,Timely response?,Consumer disputed?,Complaint ID,Client_ID] Table reviews, columns = [*,Date,Stars,Reviews,Product,district_id] Table state, columns = [StateCode,State,Region] Foreign_keys = [callcenterlogs.rand client = client.client_id,client.district_id = district.district_id,district.state_abbrev = state.StateCode,events.Client_ID = client.client_id,events.Complaint ID = callcenterlogs.Complaint ID,reviews.district_id = district.district_id] Knowledge: percentage = MULTIPLY(DIVIDE(SUM("Consumer disputed?" = 'Yes' AND city = 'Houston'), COUNT(client_id)), 1.0); Houston refers to city = 'Houston'; Question: What percentage of consumers from Houston disputed complaints?

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

{'state': ['StateCode', 'State', 'Region'], 'callcenterlogs': ['Date received', 'Complaint ID', 'rand client', 'phonefinal', 'vru+line', 'call_id', 'priority', 'type', 'outcome', 'server', 'ser_start', 'ser_exit', 'ser_time'], 'client': ['client_id', 'sex', 'day', 'month', 'year', 'age', 'social', 'first', 'middle', 'last', 'phone', 'email', 'address_1', 'address_2', 'city', 'state', 'zipcode', 'district_id'], 'district': ['district_id', 'city', 'state_abbrev', 'division'], 'events': ['Date received', 'Product', 'Sub-product', 'Issue', 'Sub-issue', 'Consumer complaint narrative', 'Tags', 'Consumer consent provided?', 'Submitted via', 'Date sent to company', 'Company response to consumer', 'Timely response?', 'Consumer disputed?', 'Complaint ID', 'Client_ID'], 'reviews': ['Date', 'Stars', 'Reviews', 'Product', 'district_id']}

retail_complains

Given the following database schema and relevant knowledge, use SQL to answer the question. Schema: Table callcenterlogs, columns = [Date received,Complaint ID,rand client,phonefinal,vru+line,call_id,priority,type,outcome,server,ser_start,ser_exit,ser_time] Table client, columns = [client_id,sex,day,month,year,age,social,first,middle,last,phone,email,address_1,address_2,city,state,zipcode,district_id] Table district, columns = [district_id,city,state_abbrev,division] Table events, columns = [Date received,Product,Sub-product,Issue,Sub-issue,Consumer complaint narrative,Tags,Consumer consent provided?,Submitted via,Date sent to company,Company response to consumer,Timely response?,Consumer disputed?,Complaint ID,Client_ID] Table reviews, columns = [*,Date,Stars,Reviews,Product,district_id] Table state, columns = [StateCode,State,Region] Foreign_keys = [callcenterlogs.rand client = client.client_id,client.district_id = district.district_id,district.state_abbrev = state.StateCode,events.Client_ID = client.client_id,events.Complaint ID = callcenterlogs.Complaint ID,reviews.district_id = district.district_id] Knowledge: service members refers to client.client_id; Syracuse refers to city = 'Syracuse'; Question: Find the number of service members who complained in Syracuse.

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'

{'state': ['StateCode', 'State', 'Region'], 'callcenterlogs': ['Date received', 'Complaint ID', 'rand client', 'phonefinal', 'vru+line', 'call_id', 'priority', 'type', 'outcome', 'server', 'ser_start', 'ser_exit', 'ser_time'], 'client': ['client_id', 'sex', 'day', 'month', 'year', 'age', 'social', 'first', 'middle', 'last', 'phone', 'email', 'address_1', 'address_2', 'city', 'state', 'zipcode', 'district_id'], 'district': ['district_id', 'city', 'state_abbrev', 'division'], 'events': ['Date received', 'Product', 'Sub-product', 'Issue', 'Sub-issue', 'Consumer complaint narrative', 'Tags', 'Consumer consent provided?', 'Submitted via', 'Date sent to company', 'Company response to consumer', 'Timely response?', 'Consumer disputed?', 'Complaint ID', 'Client_ID'], 'reviews': ['Date', 'Stars', 'Reviews', 'Product', 'district_id']}

retail_complains

Given the following database schema and relevant knowledge, use SQL to answer the question. Schema: Table callcenterlogs, columns = [Date received,Complaint ID,rand client,phonefinal,vru+line,call_id,priority,type,outcome,server,ser_start,ser_exit,ser_time] Table client, columns = [client_id,sex,day,month,year,age,social,first,middle,last,phone,email,address_1,address_2,city,state,zipcode,district_id] Table district, columns = [district_id,city,state_abbrev,division] Table events, columns = [Date received,Product,Sub-product,Issue,Sub-issue,Consumer complaint narrative,Tags,Consumer consent provided?,Submitted via,Date sent to company,Company response to consumer,Timely response?,Consumer disputed?,Complaint ID,Client_ID] Table reviews, columns = [*,Date,Stars,Reviews,Product,district_id] Table state, columns = [StateCode,State,Region] Foreign_keys = [callcenterlogs.rand client = client.client_id,client.district_id = district.district_id,district.state_abbrev = state.StateCode,events.Client_ID = client.client_id,events.Complaint ID = callcenterlogs.Complaint ID,reviews.district_id = district.district_id] Knowledge: California refers to state = 'California'; percentage = MULTIPLY(DIVIDE(SUM(priority = 1), COUNT("Complaint ID"), 1.0)); Question: Among the calls from California, what percentage are priority 1?

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'

{'state': ['StateCode', 'State', 'Region'], 'callcenterlogs': ['Date received', 'Complaint ID', 'rand client', 'phonefinal', 'vru+line', 'call_id', 'priority', 'type', 'outcome', 'server', 'ser_start', 'ser_exit', 'ser_time'], 'client': ['client_id', 'sex', 'day', 'month', 'year', 'age', 'social', 'first', 'middle', 'last', 'phone', 'email', 'address_1', 'address_2', 'city', 'state', 'zipcode', 'district_id'], 'district': ['district_id', 'city', 'state_abbrev', 'division'], 'events': ['Date received', 'Product', 'Sub-product', 'Issue', 'Sub-issue', 'Consumer complaint narrative', 'Tags', 'Consumer consent provided?', 'Submitted via', 'Date sent to company', 'Company response to consumer', 'Timely response?', 'Consumer disputed?', 'Complaint ID', 'Client_ID'], 'reviews': ['Date', 'Stars', 'Reviews', 'Product', 'district_id']}

retail_complains

Given the following database schema and relevant knowledge, use SQL to answer the question. Schema: Table callcenterlogs, columns = [Date received,Complaint ID,rand client,phonefinal,vru+line,call_id,priority,type,outcome,server,ser_start,ser_exit,ser_time] Table client, columns = [client_id,sex,day,month,year,age,social,first,middle,last,phone,email,address_1,address_2,city,state,zipcode,district_id] Table district, columns = [district_id,city,state_abbrev,division] Table events, columns = [Date received,Product,Sub-product,Issue,Sub-issue,Consumer complaint narrative,Tags,Consumer consent provided?,Submitted via,Date sent to company,Company response to consumer,Timely response?,Consumer disputed?,Complaint ID,Client_ID] Table reviews, columns = [*,Date,Stars,Reviews,Product,district_id] Table state, columns = [StateCode,State,Region] Foreign_keys = [callcenterlogs.rand client = client.client_id,client.district_id = district.district_id,district.state_abbrev = state.StateCode,events.Client_ID = client.client_id,events.Complaint ID = callcenterlogs.Complaint ID,reviews.district_id = district.district_id] Knowledge: difference in the average = SUBTRACT(AVG(age BETWEEN 35 AND 55), AVG( age > 65)); elderly refers to age > 65; middle-aged refers to age BETWEEN 35 AND 55; Question: Calculate the difference in the average age of elderly and middle-aged clients in the Northeast region.

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'

{'state': ['StateCode', 'State', 'Region'], 'callcenterlogs': ['Date received', 'Complaint ID', 'rand client', 'phonefinal', 'vru+line', 'call_id', 'priority', 'type', 'outcome', 'server', 'ser_start', 'ser_exit', 'ser_time'], 'client': ['client_id', 'sex', 'day', 'month', 'year', 'age', 'social', 'first', 'middle', 'last', 'phone', 'email', 'address_1', 'address_2', 'city', 'state', 'zipcode', 'district_id'], 'district': ['district_id', 'city', 'state_abbrev', 'division'], 'events': ['Date received', 'Product', 'Sub-product', 'Issue', 'Sub-issue', 'Consumer complaint narrative', 'Tags', 'Consumer consent provided?', 'Submitted via', 'Date sent to company', 'Company response to consumer', 'Timely response?', 'Consumer disputed?', 'Complaint ID', 'Client_ID'], 'reviews': ['Date', 'Stars', 'Reviews', 'Product', 'district_id']}

retail_complains

Given the following database schema and relevant knowledge, use SQL to answer the question. Schema: Table callcenterlogs, columns = [Date received,Complaint ID,rand client,phonefinal,vru+line,call_id,priority,type,outcome,server,ser_start,ser_exit,ser_time] Table client, columns = [client_id,sex,day,month,year,age,social,first,middle,last,phone,email,address_1,address_2,city,state,zipcode,district_id] Table district, columns = [district_id,city,state_abbrev,division] Table events, columns = [Date received,Product,Sub-product,Issue,Sub-issue,Consumer complaint narrative,Tags,Consumer consent provided?,Submitted via,Date sent to company,Company response to consumer,Timely response?,Consumer disputed?,Complaint ID,Client_ID] Table reviews, columns = [*,Date,Stars,Reviews,Product,district_id] Table state, columns = [StateCode,State,Region] Foreign_keys = [callcenterlogs.rand client = client.client_id,client.district_id = district.district_id,district.state_abbrev = state.StateCode,events.Client_ID = client.client_id,events.Complaint ID = callcenterlogs.Complaint ID,reviews.district_id = district.district_id] Knowledge: ID number refers to "Complaint ID"; longest complaints refers to MAX(ser_time); Question: List by their ID number the 3 longest complaints.

SELECT `Complaint ID` FROM callcenterlogs ORDER BY ser_time DESC LIMIT 3

{'state': ['StateCode', 'State', 'Region'], 'callcenterlogs': ['Date received', 'Complaint ID', 'rand client', 'phonefinal', 'vru+line', 'call_id', 'priority', 'type', 'outcome', 'server', 'ser_start', 'ser_exit', 'ser_time'], 'client': ['client_id', 'sex', 'day', 'month', 'year', 'age', 'social', 'first', 'middle', 'last', 'phone', 'email', 'address_1', 'address_2', 'city', 'state', 'zipcode', 'district_id'], 'district': ['district_id', 'city', 'state_abbrev', 'division'], 'events': ['Date received', 'Product', 'Sub-product', 'Issue', 'Sub-issue', 'Consumer complaint narrative', 'Tags', 'Consumer consent provided?', 'Submitted via', 'Date sent to company', 'Company response to consumer', 'Timely response?', 'Consumer disputed?', 'Complaint ID', 'Client_ID'], 'reviews': ['Date', 'Stars', 'Reviews', 'Product', 'district_id']}

retail_complains

Given the following database schema and relevant knowledge, use SQL to answer the question. Schema: Table callcenterlogs, columns = [Date received,Complaint ID,rand client,phonefinal,vru+line,call_id,priority,type,outcome,server,ser_start,ser_exit,ser_time] Table client, columns = [client_id,sex,day,month,year,age,social,first,middle,last,phone,email,address_1,address_2,city,state,zipcode,district_id] Table district, columns = [district_id,city,state_abbrev,division] Table events, columns = [Date received,Product,Sub-product,Issue,Sub-issue,Consumer complaint narrative,Tags,Consumer consent provided?,Submitted via,Date sent to company,Company response to consumer,Timely response?,Consumer disputed?,Complaint ID,Client_ID] Table reviews, columns = [*,Date,Stars,Reviews,Product,district_id] Table state, columns = [StateCode,State,Region] Foreign_keys = [callcenterlogs.rand client = client.client_id,client.district_id = district.district_id,district.state_abbrev = state.StateCode,events.Client_ID = client.client_id,events.Complaint ID = callcenterlogs.Complaint ID,reviews.district_id = district.district_id] Knowledge: email account other than gmail.com refers to email not like '%@gmail.com'; Question: How many clients have an email account other than gmail.com?

SELECT COUNT(email) FROM client WHERE email NOT LIKE '%@gmail.com'

{'state': ['StateCode', 'State', 'Region'], 'callcenterlogs': ['Date received', 'Complaint ID', 'rand client', 'phonefinal', 'vru+line', 'call_id', 'priority', 'type', 'outcome', 'server', 'ser_start', 'ser_exit', 'ser_time'], 'client': ['client_id', 'sex', 'day', 'month', 'year', 'age', 'social', 'first', 'middle', 'last', 'phone', 'email', 'address_1', 'address_2', 'city', 'state', 'zipcode', 'district_id'], 'district': ['district_id', 'city', 'state_abbrev', 'division'], 'events': ['Date received', 'Product', 'Sub-product', 'Issue', 'Sub-issue', 'Consumer complaint narrative', 'Tags', 'Consumer consent provided?', 'Submitted via', 'Date sent to company', 'Company response to consumer', 'Timely response?', 'Consumer disputed?', 'Complaint ID', 'Client_ID'], 'reviews': ['Date', 'Stars', 'Reviews', 'Product', 'district_id']}

retail_complains

Given the following database schema and relevant knowledge, use SQL to answer the question. Schema: Table callcenterlogs, columns = [Date received,Complaint ID,rand client,phonefinal,vru+line,call_id,priority,type,outcome,server,ser_start,ser_exit,ser_time] Table client, columns = [client_id,sex,day,month,year,age,social,first,middle,last,phone,email,address_1,address_2,city,state,zipcode,district_id] Table district, columns = [district_id,city,state_abbrev,division] Table events, columns = [Date received,Product,Sub-product,Issue,Sub-issue,Consumer complaint narrative,Tags,Consumer consent provided?,Submitted via,Date sent to company,Company response to consumer,Timely response?,Consumer disputed?,Complaint ID,Client_ID] Table reviews, columns = [*,Date,Stars,Reviews,Product,district_id] Table state, columns = [StateCode,State,Region] Foreign_keys = [callcenterlogs.rand client = client.client_id,client.district_id = district.district_id,district.state_abbrev = state.StateCode,events.Client_ID = client.client_id,events.Complaint ID = callcenterlogs.Complaint ID,reviews.district_id = district.district_id] Knowledge: did not give their consent permission refers to Consumer consent provided is null, 'N/A', or empty; Question: Identify by their ID all clients who did not give their consent permission.

SELECT Client_ID FROM events WHERE `Consumer consent provided?` = 'N/A' OR 'Consumer consent provided?' IS NULL OR 'Consumer consent provided?' = ''

{'state': ['StateCode', 'State', 'Region'], 'callcenterlogs': ['Date received', 'Complaint ID', 'rand client', 'phonefinal', 'vru+line', 'call_id', 'priority', 'type', 'outcome', 'server', 'ser_start', 'ser_exit', 'ser_time'], 'client': ['client_id', 'sex', 'day', 'month', 'year', 'age', 'social', 'first', 'middle', 'last', 'phone', 'email', 'address_1', 'address_2', 'city', 'state', 'zipcode', 'district_id'], 'district': ['district_id', 'city', 'state_abbrev', 'division'], 'events': ['Date received', 'Product', 'Sub-product', 'Issue', 'Sub-issue', 'Consumer complaint narrative', 'Tags', 'Consumer consent provided?', 'Submitted via', 'Date sent to company', 'Company response to consumer', 'Timely response?', 'Consumer disputed?', 'Complaint ID', 'Client_ID'], 'reviews': ['Date', 'Stars', 'Reviews', 'Product', 'district_id']}

retail_complains

Given the following database schema and relevant knowledge, use SQL to answer the question. Schema: Table callcenterlogs, columns = [Date received,Complaint ID,rand client,phonefinal,vru+line,call_id,priority,type,outcome,server,ser_start,ser_exit,ser_time] Table client, columns = [client_id,sex,day,month,year,age,social,first,middle,last,phone,email,address_1,address_2,city,state,zipcode,district_id] Table district, columns = [district_id,city,state_abbrev,division] Table events, columns = [Date received,Product,Sub-product,Issue,Sub-issue,Consumer complaint narrative,Tags,Consumer consent provided?,Submitted via,Date sent to company,Company response to consumer,Timely response?,Consumer disputed?,Complaint ID,Client_ID] Table reviews, columns = [*,Date,Stars,Reviews,Product,district_id] Table state, columns = [StateCode,State,Region] Foreign_keys = [callcenterlogs.rand client = client.client_id,client.district_id = district.district_id,district.state_abbrev = state.StateCode,events.Client_ID = client.client_id,events.Complaint ID = callcenterlogs.Complaint ID,reviews.district_id = district.district_id] Knowledge: ID of the complaints refers to "Complaint ID"; on 25/09/2014 refers to "Date sent to company" = '2014-09-25'; took the longest = MAX(SUBTRACT("Date sent to company", "Date received")); Question: List by their ID the complaints received by the company on 25/09/2014 that took the longest.

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'

{'state': ['StateCode', 'State', 'Region'], 'callcenterlogs': ['Date received', 'Complaint ID', 'rand client', 'phonefinal', 'vru+line', 'call_id', 'priority', 'type', 'outcome', 'server', 'ser_start', 'ser_exit', 'ser_time'], 'client': ['client_id', 'sex', 'day', 'month', 'year', 'age', 'social', 'first', 'middle', 'last', 'phone', 'email', 'address_1', 'address_2', 'city', 'state', 'zipcode', 'district_id'], 'district': ['district_id', 'city', 'state_abbrev', 'division'], 'events': ['Date received', 'Product', 'Sub-product', 'Issue', 'Sub-issue', 'Consumer complaint narrative', 'Tags', 'Consumer consent provided?', 'Submitted via', 'Date sent to company', 'Company response to consumer', 'Timely response?', 'Consumer disputed?', 'Complaint ID', 'Client_ID'], 'reviews': ['Date', 'Stars', 'Reviews', 'Product', 'district_id']}

retail_complains

Given the following database schema and relevant knowledge, use SQL to answer the question. Schema: Table callcenterlogs, columns = [Date received,Complaint ID,rand client,phonefinal,vru+line,call_id,priority,type,outcome,server,ser_start,ser_exit,ser_time] Table client, columns = [client_id,sex,day,month,year,age,social,first,middle,last,phone,email,address_1,address_2,city,state,zipcode,district_id] Table district, columns = [district_id,city,state_abbrev,division] Table events, columns = [Date received,Product,Sub-product,Issue,Sub-issue,Consumer complaint narrative,Tags,Consumer consent provided?,Submitted via,Date sent to company,Company response to consumer,Timely response?,Consumer disputed?,Complaint ID,Client_ID] Table reviews, columns = [*,Date,Stars,Reviews,Product,district_id] Table state, columns = [StateCode,State,Region] Foreign_keys = [callcenterlogs.rand client = client.client_id,client.district_id = district.district_id,district.state_abbrev = state.StateCode,events.Client_ID = client.client_id,events.Complaint ID = callcenterlogs.Complaint ID,reviews.district_id = district.district_id] Knowledge: Question: List priority 2 complaints by date received.

SELECT DISTINCT `Complaint ID` FROM callcenterlogs WHERE priority = 2 ORDER BY `Date received` DESC

{'state': ['StateCode', 'State', 'Region'], 'callcenterlogs': ['Date received', 'Complaint ID', 'rand client', 'phonefinal', 'vru+line', 'call_id', 'priority', 'type', 'outcome', 'server', 'ser_start', 'ser_exit', 'ser_time'], 'client': ['client_id', 'sex', 'day', 'month', 'year', 'age', 'social', 'first', 'middle', 'last', 'phone', 'email', 'address_1', 'address_2', 'city', 'state', 'zipcode', 'district_id'], 'district': ['district_id', 'city', 'state_abbrev', 'division'], 'events': ['Date received', 'Product', 'Sub-product', 'Issue', 'Sub-issue', 'Consumer complaint narrative', 'Tags', 'Consumer consent provided?', 'Submitted via', 'Date sent to company', 'Company response to consumer', 'Timely response?', 'Consumer disputed?', 'Complaint ID', 'Client_ID'], 'reviews': ['Date', 'Stars', 'Reviews', 'Product', 'district_id']}

retail_complains

Given the following database schema and relevant knowledge, use SQL to answer the question. Schema: Table callcenterlogs, columns = [Date received,Complaint ID,rand client,phonefinal,vru+line,call_id,priority,type,outcome,server,ser_start,ser_exit,ser_time] Table client, columns = [client_id,sex,day,month,year,age,social,first,middle,last,phone,email,address_1,address_2,city,state,zipcode,district_id] Table district, columns = [district_id,city,state_abbrev,division] Table events, columns = [Date received,Product,Sub-product,Issue,Sub-issue,Consumer complaint narrative,Tags,Consumer consent provided?,Submitted via,Date sent to company,Company response to consumer,Timely response?,Consumer disputed?,Complaint ID,Client_ID] Table reviews, columns = [*,Date,Stars,Reviews,Product,district_id] Table state, columns = [StateCode,State,Region] Foreign_keys = [callcenterlogs.rand client = client.client_id,client.district_id = district.district_id,district.state_abbrev = state.StateCode,events.Client_ID = client.client_id,events.Complaint ID = callcenterlogs.Complaint ID,reviews.district_id = district.district_id] Knowledge: not in process with an agent refers to outcome ! = 'AGENT'; Question: How many complaints are not in process with an agent?

SELECT COUNT(outcome) FROM callcenterlogs WHERE outcome != 'AGENT'

{'state': ['StateCode', 'State', 'Region'], 'callcenterlogs': ['Date received', 'Complaint ID', 'rand client', 'phonefinal', 'vru+line', 'call_id', 'priority', 'type', 'outcome', 'server', 'ser_start', 'ser_exit', 'ser_time'], 'client': ['client_id', 'sex', 'day', 'month', 'year', 'age', 'social', 'first', 'middle', 'last', 'phone', 'email', 'address_1', 'address_2', 'city', 'state', 'zipcode', 'district_id'], 'district': ['district_id', 'city', 'state_abbrev', 'division'], 'events': ['Date received', 'Product', 'Sub-product', 'Issue', 'Sub-issue', 'Consumer complaint narrative', 'Tags', 'Consumer consent provided?', 'Submitted via', 'Date sent to company', 'Company response to consumer', 'Timely response?', 'Consumer disputed?', 'Complaint ID', 'Client_ID'], 'reviews': ['Date', 'Stars', 'Reviews', 'Product', 'district_id']}

retail_complains

Given the following database schema and relevant knowledge, use SQL to answer the question. Schema: Table callcenterlogs, columns = [Date received,Complaint ID,rand client,phonefinal,vru+line,call_id,priority,type,outcome,server,ser_start,ser_exit,ser_time] Table client, columns = [client_id,sex,day,month,year,age,social,first,middle,last,phone,email,address_1,address_2,city,state,zipcode,district_id] Table district, columns = [district_id,city,state_abbrev,division] Table events, columns = [Date received,Product,Sub-product,Issue,Sub-issue,Consumer complaint narrative,Tags,Consumer consent provided?,Submitted via,Date sent to company,Company response to consumer,Timely response?,Consumer disputed?,Complaint ID,Client_ID] Table reviews, columns = [*,Date,Stars,Reviews,Product,district_id] Table state, columns = [StateCode,State,Region] Foreign_keys = [callcenterlogs.rand client = client.client_id,client.district_id = district.district_id,district.state_abbrev = state.StateCode,events.Client_ID = client.client_id,events.Complaint ID = callcenterlogs.Complaint ID,reviews.district_id = district.district_id] Knowledge: Credit Card refers to Product = 'Credit Card'; Sharon refers to server = 'SHARON'; Question: How many Credit Card complaints did Sharon handle?

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'

{'state': ['StateCode', 'State', 'Region'], 'callcenterlogs': ['Date received', 'Complaint ID', 'rand client', 'phonefinal', 'vru+line', 'call_id', 'priority', 'type', 'outcome', 'server', 'ser_start', 'ser_exit', 'ser_time'], 'client': ['client_id', 'sex', 'day', 'month', 'year', 'age', 'social', 'first', 'middle', 'last', 'phone', 'email', 'address_1', 'address_2', 'city', 'state', 'zipcode', 'district_id'], 'district': ['district_id', 'city', 'state_abbrev', 'division'], 'events': ['Date received', 'Product', 'Sub-product', 'Issue', 'Sub-issue', 'Consumer complaint narrative', 'Tags', 'Consumer consent provided?', 'Submitted via', 'Date sent to company', 'Company response to consumer', 'Timely response?', 'Consumer disputed?', 'Complaint ID', 'Client_ID'], 'reviews': ['Date', 'Stars', 'Reviews', 'Product', 'district_id']}

retail_complains

Given the following database schema and relevant knowledge, use SQL to answer the question. Schema: Table callcenterlogs, columns = [Date received,Complaint ID,rand client,phonefinal,vru+line,call_id,priority,type,outcome,server,ser_start,ser_exit,ser_time] Table client, columns = [client_id,sex,day,month,year,age,social,first,middle,last,phone,email,address_1,address_2,city,state,zipcode,district_id] Table district, columns = [district_id,city,state_abbrev,division] Table events, columns = [Date received,Product,Sub-product,Issue,Sub-issue,Consumer complaint narrative,Tags,Consumer consent provided?,Submitted via,Date sent to company,Company response to consumer,Timely response?,Consumer disputed?,Complaint ID,Client_ID] Table reviews, columns = [*,Date,Stars,Reviews,Product,district_id] Table state, columns = [StateCode,State,Region] Foreign_keys = [callcenterlogs.rand client = client.client_id,client.district_id = district.district_id,district.state_abbrev = state.StateCode,events.Client_ID = client.client_id,events.Complaint ID = callcenterlogs.Complaint ID,reviews.district_id = district.district_id] Knowledge: most 1-star reviews refers to MAX(COUNT(stars = 1)); Question: In which region have the most 1-star reviews been done?

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

{'state': ['StateCode', 'State', 'Region'], 'callcenterlogs': ['Date received', 'Complaint ID', 'rand client', 'phonefinal', 'vru+line', 'call_id', 'priority', 'type', 'outcome', 'server', 'ser_start', 'ser_exit', 'ser_time'], 'client': ['client_id', 'sex', 'day', 'month', 'year', 'age', 'social', 'first', 'middle', 'last', 'phone', 'email', 'address_1', 'address_2', 'city', 'state', 'zipcode', 'district_id'], 'district': ['district_id', 'city', 'state_abbrev', 'division'], 'events': ['Date received', 'Product', 'Sub-product', 'Issue', 'Sub-issue', 'Consumer complaint narrative', 'Tags', 'Consumer consent provided?', 'Submitted via', 'Date sent to company', 'Company response to consumer', 'Timely response?', 'Consumer disputed?', 'Complaint ID', 'Client_ID'], 'reviews': ['Date', 'Stars', 'Reviews', 'Product', 'district_id']}

retail_complains

Given the following database schema and relevant knowledge, use SQL to answer the question. Schema: Table callcenterlogs, columns = [Date received,Complaint ID,rand client,phonefinal,vru+line,call_id,priority,type,outcome,server,ser_start,ser_exit,ser_time] Table client, columns = [client_id,sex,day,month,year,age,social,first,middle,last,phone,email,address_1,address_2,city,state,zipcode,district_id] Table district, columns = [district_id,city,state_abbrev,division] Table events, columns = [Date received,Product,Sub-product,Issue,Sub-issue,Consumer complaint narrative,Tags,Consumer consent provided?,Submitted via,Date sent to company,Company response to consumer,Timely response?,Consumer disputed?,Complaint ID,Client_ID] Table reviews, columns = [*,Date,Stars,Reviews,Product,district_id] Table state, columns = [StateCode,State,Region] Foreign_keys = [callcenterlogs.rand client = client.client_id,client.district_id = district.district_id,district.state_abbrev = state.StateCode,events.Client_ID = client.client_id,events.Complaint ID = callcenterlogs.Complaint ID,reviews.district_id = district.district_id] Knowledge: more problems with Certificate refers to MAX(COUNT("Sub-product" = '(CD) Certificate of deposit')); Question: In what years were the clients who demanded more problems with Certificate of deposit born?

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

{'state': ['StateCode', 'State', 'Region'], 'callcenterlogs': ['Date received', 'Complaint ID', 'rand client', 'phonefinal', 'vru+line', 'call_id', 'priority', 'type', 'outcome', 'server', 'ser_start', 'ser_exit', 'ser_time'], 'client': ['client_id', 'sex', 'day', 'month', 'year', 'age', 'social', 'first', 'middle', 'last', 'phone', 'email', 'address_1', 'address_2', 'city', 'state', 'zipcode', 'district_id'], 'district': ['district_id', 'city', 'state_abbrev', 'division'], 'events': ['Date received', 'Product', 'Sub-product', 'Issue', 'Sub-issue', 'Consumer complaint narrative', 'Tags', 'Consumer consent provided?', 'Submitted via', 'Date sent to company', 'Company response to consumer', 'Timely response?', 'Consumer disputed?', 'Complaint ID', 'Client_ID'], 'reviews': ['Date', 'Stars', 'Reviews', 'Product', 'district_id']}

retail_complains

Given the following database schema and relevant knowledge, use SQL to answer the question. Schema: Table callcenterlogs, columns = [Date received,Complaint ID,rand client,phonefinal,vru+line,call_id,priority,type,outcome,server,ser_start,ser_exit,ser_time] Table client, columns = [client_id,sex,day,month,year,age,social,first,middle,last,phone,email,address_1,address_2,city,state,zipcode,district_id] Table district, columns = [district_id,city,state_abbrev,division] Table events, columns = [Date received,Product,Sub-product,Issue,Sub-issue,Consumer complaint narrative,Tags,Consumer consent provided?,Submitted via,Date sent to company,Company response to consumer,Timely response?,Consumer disputed?,Complaint ID,Client_ID] Table reviews, columns = [*,Date,Stars,Reviews,Product,district_id] Table state, columns = [StateCode,State,Region] Foreign_keys = [callcenterlogs.rand client = client.client_id,client.district_id = district.district_id,district.state_abbrev = state.StateCode,events.Client_ID = client.client_id,events.Complaint ID = callcenterlogs.Complaint ID,reviews.district_id = district.district_id] Knowledge: billing dispute refers to issue = 'Billing disputes'; Question: How many cases of billing dispute issues occurred in the Mountain division?

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'

{'state': ['StateCode', 'State', 'Region'], 'callcenterlogs': ['Date received', 'Complaint ID', 'rand client', 'phonefinal', 'vru+line', 'call_id', 'priority', 'type', 'outcome', 'server', 'ser_start', 'ser_exit', 'ser_time'], 'client': ['client_id', 'sex', 'day', 'month', 'year', 'age', 'social', 'first', 'middle', 'last', 'phone', 'email', 'address_1', 'address_2', 'city', 'state', 'zipcode', 'district_id'], 'district': ['district_id', 'city', 'state_abbrev', 'division'], 'events': ['Date received', 'Product', 'Sub-product', 'Issue', 'Sub-issue', 'Consumer complaint narrative', 'Tags', 'Consumer consent provided?', 'Submitted via', 'Date sent to company', 'Company response to consumer', 'Timely response?', 'Consumer disputed?', 'Complaint ID', 'Client_ID'], 'reviews': ['Date', 'Stars', 'Reviews', 'Product', 'district_id']}

retail_complains

Given the following database schema and relevant knowledge, use SQL to answer the question. Schema: Table callcenterlogs, columns = [Date received,Complaint ID,rand client,phonefinal,vru+line,call_id,priority,type,outcome,server,ser_start,ser_exit,ser_time] Table client, columns = [client_id,sex,day,month,year,age,social,first,middle,last,phone,email,address_1,address_2,city,state,zipcode,district_id] Table district, columns = [district_id,city,state_abbrev,division] Table events, columns = [Date received,Product,Sub-product,Issue,Sub-issue,Consumer complaint narrative,Tags,Consumer consent provided?,Submitted via,Date sent to company,Company response to consumer,Timely response?,Consumer disputed?,Complaint ID,Client_ID] Table reviews, columns = [*,Date,Stars,Reviews,Product,district_id] Table state, columns = [StateCode,State,Region] Foreign_keys = [callcenterlogs.rand client = client.client_id,client.district_id = district.district_id,district.state_abbrev = state.StateCode,events.Client_ID = client.client_id,events.Complaint ID = callcenterlogs.Complaint ID,reviews.district_id = district.district_id] Knowledge: male refers to sex = 'Male'; Question: How many male clients are from the state of Massachusetts?

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'

{'state': ['StateCode', 'State', 'Region'], 'callcenterlogs': ['Date received', 'Complaint ID', 'rand client', 'phonefinal', 'vru+line', 'call_id', 'priority', 'type', 'outcome', 'server', 'ser_start', 'ser_exit', 'ser_time'], 'client': ['client_id', 'sex', 'day', 'month', 'year', 'age', 'social', 'first', 'middle', 'last', 'phone', 'email', 'address_1', 'address_2', 'city', 'state', 'zipcode', 'district_id'], 'district': ['district_id', 'city', 'state_abbrev', 'division'], 'events': ['Date received', 'Product', 'Sub-product', 'Issue', 'Sub-issue', 'Consumer complaint narrative', 'Tags', 'Consumer consent provided?', 'Submitted via', 'Date sent to company', 'Company response to consumer', 'Timely response?', 'Consumer disputed?', 'Complaint ID', 'Client_ID'], 'reviews': ['Date', 'Stars', 'Reviews', 'Product', 'district_id']}

retail_complains