question stringlengths 24 325 | sql stringlengths 30 804 | db_id stringclasses 63
values | question_id int64 167 9.43k | difficulty stringclasses 1
value | table_names_with_rag stringlengths 18 220 | create_statements_all listlengths 1 1 | create_statements_rag listlengths 1 1 | len_create_all int64 2 65 | len_create_rag int64 2 65 | column_names_with_rag stringlengths 139 1.24k |
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Which date has the most ordered quantity? What is the total order quantity on that day? | SELECT ord_date, SUM(qty) FROM sales GROUP BY ord_date ORDER BY SUM(qty) DESC LIMIT 1 | book_publishing_company | 167 | ["stores", "titles", "employee", "jobs", "roysched", "sales", "publishers", "discounts"] | [
[
" CREATE TABLE authors ( au_id TEXT, au_lname TEXT NOT NULL, au_fname TEXT NOT NULL, phone TEXT NOT NULL, address TEXT, city TEXT, state TEXT, zip TEXT, contract TEXT NOT NULL, PRIMARY KEY (au_id) ) ",
" CREATE TABLE discounts ( discounttype TEXT NOT NULL, stor_id TEXT, lowqty INT... | [
[
" CREATE TABLE authors ( au_id TEXT, au_lname TEXT NOT NULL, au_fname TEXT NOT NULL, phone TEXT NOT NULL, address TEXT, city TEXT, state TEXT, zip TEXT, contract TEXT NOT NULL, PRIMARY KEY (au_id) ) ",
" CREATE TABLE discounts ( discounttype TEXT NOT NULL, stor_id TEXT, lowqty INT... | 11 | 11 | "{\"sales\": [\"ord_date\", \"qty\", \"ord_num\", \"payterms\", \"stor_id\", \"title_id\"], \"employee\": [\"hire_date\", \"minit\", \"job_id\", \"emp_id\", \"job_lvl\"], \"titles\": [\"pubdate\", \"price\", \"ytd_sales\", \"advance\", \"title_id\", \"pub_id\", \"type\", \"title\"], \"discounts\": [\"discount\", \"disc... | |
What is the title with the most ordered quantity in year 1992? | SELECT T2.title FROM sales AS T1 INNER JOIN titles AS T2 ON T1.title_id = T2.title_id WHERE STRFTIME('%Y', T1.ord_date) = '1992' ORDER BY T1.qty DESC LIMIT 1 | book_publishing_company | 168 | ["stores", "titles", "roysched", "sales", "discounts", "titleauthor"] | [
[
" CREATE TABLE authors ( au_id TEXT, au_lname TEXT NOT NULL, au_fname TEXT NOT NULL, phone TEXT NOT NULL, address TEXT, city TEXT, state TEXT, zip TEXT, contract TEXT NOT NULL, PRIMARY KEY (au_id) ) ",
" CREATE TABLE discounts ( discounttype TEXT NOT NULL, stor_id TEXT, lowqty INT... | [
[
" CREATE TABLE authors ( au_id TEXT, au_lname TEXT NOT NULL, au_fname TEXT NOT NULL, phone TEXT NOT NULL, address TEXT, city TEXT, state TEXT, zip TEXT, contract TEXT NOT NULL, PRIMARY KEY (au_id) ) ",
" CREATE TABLE discounts ( discounttype TEXT NOT NULL, stor_id TEXT, lowqty INT... | 11 | 11 | "{\"titles\": [\"price\", \"advance\", \"type\", \"title\", \"ytd_sales\", \"title_id\", \"royalty\", \"pub_id\", \"pubdate\", \"notes\"], \"titleauthor\": [\"title_id\", \"au_id\", \"au_ord\", \"royaltyper\"], \"roysched\": [\"title_id\", \"royalty\", \"lorange\", \"hirange\"], \"sales\": [\"title_id\", \"ord_date\", ... | |
List the title, price and publication date for all sales with 'ON invoice' payment terms. | SELECT T2.title, T2.price, T2.pubdate FROM sales AS T1 INNER JOIN titles AS T2 ON T1.title_id = T2.title_id WHERE T1.payterms = 'ON invoice' | book_publishing_company | 169 | ["stores", "titles", "employee", "sales", "discounts", "publishers", "titleauthor"] | [
[
" CREATE TABLE authors ( au_id TEXT, au_lname TEXT NOT NULL, au_fname TEXT NOT NULL, phone TEXT NOT NULL, address TEXT, city TEXT, state TEXT, zip TEXT, contract TEXT NOT NULL, PRIMARY KEY (au_id) ) ",
" CREATE TABLE discounts ( discounttype TEXT NOT NULL, stor_id TEXT, lowqty INT... | [
[
" CREATE TABLE authors ( au_id TEXT, au_lname TEXT NOT NULL, au_fname TEXT NOT NULL, phone TEXT NOT NULL, address TEXT, city TEXT, state TEXT, zip TEXT, contract TEXT NOT NULL, PRIMARY KEY (au_id) ) ",
" CREATE TABLE discounts ( discounttype TEXT NOT NULL, stor_id TEXT, lowqty INT... | 11 | 11 | "{\"titles\": [\"price\", \"ytd_sales\", \"pubdate\", \"title_id\", \"type\", \"title\", \"advance\", \"notes\", \"royalty\", \"pub_id\"], \"sales\": [\"ord_date\", \"title_id\", \"payterms\", \"qty\", \"stor_id\", \"ord_num\"], \"employee\": [\"hire_date\"], \"titleauthor\": [\"title_id\", \"royaltyper\", \"au_ord\", ... | |
What is the title that have at least 10% royalty without minimum range amount. | SELECT T1.title FROM titles AS T1 INNER JOIN roysched AS T2 ON T1.title_id = T2.title_id WHERE T2.lorange = 0 AND T2.royalty >= 10 | book_publishing_company | 170 | ["stores", "titles", "roysched", "sales", "discounts", "publishers", "titleauthor"] | [
[
" CREATE TABLE authors ( au_id TEXT, au_lname TEXT NOT NULL, au_fname TEXT NOT NULL, phone TEXT NOT NULL, address TEXT, city TEXT, state TEXT, zip TEXT, contract TEXT NOT NULL, PRIMARY KEY (au_id) ) ",
" CREATE TABLE discounts ( discounttype TEXT NOT NULL, stor_id TEXT, lowqty INT... | [
[
" CREATE TABLE authors ( au_id TEXT, au_lname TEXT NOT NULL, au_fname TEXT NOT NULL, phone TEXT NOT NULL, address TEXT, city TEXT, state TEXT, zip TEXT, contract TEXT NOT NULL, PRIMARY KEY (au_id) ) ",
" CREATE TABLE discounts ( discounttype TEXT NOT NULL, stor_id TEXT, lowqty INT... | 11 | 11 | "{\"titles\": [\"royalty\", \"title\", \"title_id\", \"price\", \"type\", \"advance\", \"ytd_sales\", \"pub_id\", \"pubdate\", \"notes\"], \"titleauthor\": [\"royaltyper\", \"title_id\", \"au_id\", \"au_ord\"], \"roysched\": [\"royalty\", \"title_id\", \"lorange\", \"hirange\"], \"sales\": [\"title_id\", \"payterms\", ... | |
State the title and royalty percentage for title ID BU2075 between 10000 to 50000 range. | SELECT T1.title, T2.royalty FROM titles AS T1 INNER JOIN roysched AS T2 ON T1.title_id = T2.title_id WHERE T2.lorange > 10000 AND T2.hirange < 50000 AND T1.title_ID = 'BU2075' | book_publishing_company | 171 | ["titles", "employee", "roysched", "sales", "publishers", "titleauthor"] | [
[
" CREATE TABLE authors ( au_id TEXT, au_lname TEXT NOT NULL, au_fname TEXT NOT NULL, phone TEXT NOT NULL, address TEXT, city TEXT, state TEXT, zip TEXT, contract TEXT NOT NULL, PRIMARY KEY (au_id) ) ",
" CREATE TABLE discounts ( discounttype TEXT NOT NULL, stor_id TEXT, lowqty INT... | [
[
" CREATE TABLE authors ( au_id TEXT, au_lname TEXT NOT NULL, au_fname TEXT NOT NULL, phone TEXT NOT NULL, address TEXT, city TEXT, state TEXT, zip TEXT, contract TEXT NOT NULL, PRIMARY KEY (au_id) ) ",
" CREATE TABLE discounts ( discounttype TEXT NOT NULL, stor_id TEXT, lowqty INT... | 11 | 11 | "{\"titles\": [\"royalty\", \"price\", \"title_id\", \"title\", \"type\", \"ytd_sales\", \"advance\", \"pub_id\", \"pubdate\", \"notes\"], \"titleauthor\": [\"royaltyper\", \"title_id\", \"au_ord\", \"au_id\"], \"roysched\": [\"royalty\", \"title_id\"], \"sales\": [\"title_id\", \"qty\", \"ord_num\", \"stor_id\", \"pay... | |
Among the titles with royalty percentage, which title has the greatest royalty percentage. State it's minimum range to enjoy this royalty percentage. | SELECT T1.title, T2.lorange FROM titles AS T1 INNER JOIN roysched AS T2 ON T1.title_id = T2.title_id ORDER BY T2.royalty DESC LIMIT 1 | book_publishing_company | 172 | ["stores", "titles", "employee", "jobs", "roysched", "sales", "discounts", "publishers", "titleauthor"] | [
[
" CREATE TABLE authors ( au_id TEXT, au_lname TEXT NOT NULL, au_fname TEXT NOT NULL, phone TEXT NOT NULL, address TEXT, city TEXT, state TEXT, zip TEXT, contract TEXT NOT NULL, PRIMARY KEY (au_id) ) ",
" CREATE TABLE discounts ( discounttype TEXT NOT NULL, stor_id TEXT, lowqty INT... | [
[
" CREATE TABLE authors ( au_id TEXT, au_lname TEXT NOT NULL, au_fname TEXT NOT NULL, phone TEXT NOT NULL, address TEXT, city TEXT, state TEXT, zip TEXT, contract TEXT NOT NULL, PRIMARY KEY (au_id) ) ",
" CREATE TABLE discounts ( discounttype TEXT NOT NULL, stor_id TEXT, lowqty INT... | 11 | 11 | "{\"titles\": [\"royalty\", \"type\", \"advance\", \"title\", \"title_id\", \"price\", \"ytd_sales\", \"pub_id\", \"pubdate\", \"notes\"], \"titleauthor\": [\"royaltyper\", \"title_id\", \"au_id\", \"au_ord\"], \"roysched\": [\"royalty\", \"title_id\", \"lorange\", \"hirange\"], \"sales\": [\"title_id\", \"qty\", \"sto... | |
Provide a list of titles together with its publisher name for all publishers located in the USA. | SELECT T1.title, T2.pub_name FROM titles AS T1 INNER JOIN publishers AS T2 ON T1.pub_id = T2.pub_id WHERE T2.country = 'USA' | book_publishing_company | 173 | ["stores", "titles", "sales", "publishers", "titleauthor"] | [
[
" CREATE TABLE authors ( au_id TEXT, au_lname TEXT NOT NULL, au_fname TEXT NOT NULL, phone TEXT NOT NULL, address TEXT, city TEXT, state TEXT, zip TEXT, contract TEXT NOT NULL, PRIMARY KEY (au_id) ) ",
" CREATE TABLE discounts ( discounttype TEXT NOT NULL, stor_id TEXT, lowqty INT... | [
[
" CREATE TABLE authors ( au_id TEXT, au_lname TEXT NOT NULL, au_fname TEXT NOT NULL, phone TEXT NOT NULL, address TEXT, city TEXT, state TEXT, zip TEXT, contract TEXT NOT NULL, PRIMARY KEY (au_id) ) ",
" CREATE TABLE discounts ( discounttype TEXT NOT NULL, stor_id TEXT, lowqty INT... | 11 | 11 | "{\"titles\": [\"type\", \"ytd_sales\", \"advance\", \"title\", \"pub_id\", \"title_id\", \"royalty\", \"pubdate\", \"price\", \"notes\"], \"publishers\": [\"city\", \"state\", \"country\", \"pub_name\", \"pub_id\"], \"titleauthor\": [\"au_ord\", \"au_id\", \"royaltyper\", \"title_id\"], \"sales\": [\"title_id\", \"pay... | |
State the royalty percentage for the most year to date sale title within the 20000 range. | SELECT MAX(T1.ytd_sales) FROM titles AS T1 INNER JOIN roysched AS T2 ON T1.title_id = T2.title_id WHERE T2.lorange > 20000 AND T2.hirange < 20000 | book_publishing_company | 174 | ["stores", "titles", "employee", "roysched", "sales", "discounts", "publishers", "titleauthor"] | [
[
" CREATE TABLE authors ( au_id TEXT, au_lname TEXT NOT NULL, au_fname TEXT NOT NULL, phone TEXT NOT NULL, address TEXT, city TEXT, state TEXT, zip TEXT, contract TEXT NOT NULL, PRIMARY KEY (au_id) ) ",
" CREATE TABLE discounts ( discounttype TEXT NOT NULL, stor_id TEXT, lowqty INT... | [
[
" CREATE TABLE authors ( au_id TEXT, au_lname TEXT NOT NULL, au_fname TEXT NOT NULL, phone TEXT NOT NULL, address TEXT, city TEXT, state TEXT, zip TEXT, contract TEXT NOT NULL, PRIMARY KEY (au_id) ) ",
" CREATE TABLE discounts ( discounttype TEXT NOT NULL, stor_id TEXT, lowqty INT... | 11 | 11 | "{\"titles\": [\"royalty\", \"ytd_sales\", \"pubdate\", \"price\", \"title\", \"title_id\", \"type\", \"advance\", \"pub_id\", \"notes\"], \"titleauthor\": [\"royaltyper\", \"title_id\", \"au_id\", \"au_ord\"], \"roysched\": [\"royalty\", \"title_id\", \"lorange\", \"hirange\"], \"sales\": [\"ord_date\", \"title_id\", ... | |
List all titles published in year 1991. Also provide notes details of the title and the publisher's name. | SELECT T1.title, T1.notes, T2.pub_name FROM titles AS T1 INNER JOIN publishers AS T2 ON T1.pub_id = T2.pub_id WHERE STRFTIME('%Y', T1.pubdate) = '1991' | book_publishing_company | 175 | ["titles", "roysched", "authors", "sales", "publishers", "titleauthor"] | [
[
" CREATE TABLE authors ( au_id TEXT, au_lname TEXT NOT NULL, au_fname TEXT NOT NULL, phone TEXT NOT NULL, address TEXT, city TEXT, state TEXT, zip TEXT, contract TEXT NOT NULL, PRIMARY KEY (au_id) ) ",
" CREATE TABLE discounts ( discounttype TEXT NOT NULL, stor_id TEXT, lowqty INT... | [
[
" CREATE TABLE authors ( au_id TEXT, au_lname TEXT NOT NULL, au_fname TEXT NOT NULL, phone TEXT NOT NULL, address TEXT, city TEXT, state TEXT, zip TEXT, contract TEXT NOT NULL, PRIMARY KEY (au_id) ) ",
" CREATE TABLE discounts ( discounttype TEXT NOT NULL, stor_id TEXT, lowqty INT... | 11 | 11 | "{\"titles\": [\"notes\", \"ytd_sales\", \"type\", \"title\", \"pubdate\", \"title_id\", \"pub_id\", \"royalty\", \"price\", \"advance\"], \"titleauthor\": [\"title_id\", \"royaltyper\", \"au_id\", \"au_ord\"], \"sales\": [\"title_id\", \"stor_id\", \"ord_date\", \"payterms\", \"qty\"], \"publishers\": [\"city\", \"sta... | |
List all titles with sales of quantity more than 20 and store located in the CA state. | SELECT T1.title, T2.qty FROM titles AS T1 INNER JOIN sales AS T2 ON T1.title_id = T2.title_id INNER JOIN stores AS T3 ON T2.stor_id = T3.stor_id WHERE T2.qty > 20 AND T3.state = 'CA' | book_publishing_company | 176 | ["stores", "titles", "sales", "discounts", "publishers", "titleauthor"] | [
[
" CREATE TABLE authors ( au_id TEXT, au_lname TEXT NOT NULL, au_fname TEXT NOT NULL, phone TEXT NOT NULL, address TEXT, city TEXT, state TEXT, zip TEXT, contract TEXT NOT NULL, PRIMARY KEY (au_id) ) ",
" CREATE TABLE discounts ( discounttype TEXT NOT NULL, stor_id TEXT, lowqty INT... | [
[
" CREATE TABLE authors ( au_id TEXT, au_lname TEXT NOT NULL, au_fname TEXT NOT NULL, phone TEXT NOT NULL, address TEXT, city TEXT, state TEXT, zip TEXT, contract TEXT NOT NULL, PRIMARY KEY (au_id) ) ",
" CREATE TABLE discounts ( discounttype TEXT NOT NULL, stor_id TEXT, lowqty INT... | 11 | 11 | "{\"titles\": [\"ytd_sales\", \"price\", \"type\", \"title\", \"title_id\", \"pub_id\", \"royalty\", \"advance\", \"pubdate\", \"notes\"], \"stores\": [\"state\", \"city\", \"stor_name\", \"stor_id\", \"stor_address\", \"zip\"], \"sales\": [\"title_id\", \"stor_id\", \"ord_num\", \"qty\", \"payterms\", \"ord_date\"], \... | |
Name the store with the highest quantity in sales? What is the least quantity title from the store's sale? | SELECT T3.stor_id, T2.title FROM sales AS T1 INNER JOIN titles AS T2 ON T1.title_id = T2.title_id INNER JOIN stores AS T3 ON T3.stor_id = T1.stor_id WHERE T3.stor_id = ( SELECT stor_id FROM sales GROUP BY stor_id ORDER BY SUM(qty) DESC LIMIT 1 ) GROUP BY T3.stor_id, T2.title ORDER BY SUM(T1.qty) ASC LIMIT 1 | book_publishing_company | 177 | ["stores", "titles", "roysched", "sales", "discounts", "titleauthor"] | [
[
" CREATE TABLE authors ( au_id TEXT, au_lname TEXT NOT NULL, au_fname TEXT NOT NULL, phone TEXT NOT NULL, address TEXT, city TEXT, state TEXT, zip TEXT, contract TEXT NOT NULL, PRIMARY KEY (au_id) ) ",
" CREATE TABLE discounts ( discounttype TEXT NOT NULL, stor_id TEXT, lowqty INT... | [
[
" CREATE TABLE authors ( au_id TEXT, au_lname TEXT NOT NULL, au_fname TEXT NOT NULL, phone TEXT NOT NULL, address TEXT, city TEXT, state TEXT, zip TEXT, contract TEXT NOT NULL, PRIMARY KEY (au_id) ) ",
" CREATE TABLE discounts ( discounttype TEXT NOT NULL, stor_id TEXT, lowqty INT... | 11 | 11 | "{\"titles\": [\"ytd_sales\", \"price\", \"type\", \"title\", \"title_id\", \"advance\", \"royalty\", \"pub_id\", \"pubdate\", \"notes\"], \"sales\": [\"title_id\", \"ord_num\", \"qty\", \"stor_id\", \"ord_date\", \"payterms\"], \"stores\": [\"stor_name\", \"city\", \"stor_id\", \"state\", \"zip\", \"stor_address\"], \... | |
Name the title and publisher for title ID BU 2075. Provide all the royalty percentage for all ranges. | SELECT T1.title, T3.pub_name, T2.lorange, T2.hirange, T2.royalty FROM titles AS T1 INNER JOIN roysched AS T2 ON T1.title_id = T2.title_id INNER JOIN publishers AS T3 ON T1.pub_id = T3.pub_id WHERE T1.title_id = 'BU2075' | book_publishing_company | 178 | ["titles", "roysched", "authors", "sales", "publishers", "titleauthor"] | [
[
" CREATE TABLE authors ( au_id TEXT, au_lname TEXT NOT NULL, au_fname TEXT NOT NULL, phone TEXT NOT NULL, address TEXT, city TEXT, state TEXT, zip TEXT, contract TEXT NOT NULL, PRIMARY KEY (au_id) ) ",
" CREATE TABLE discounts ( discounttype TEXT NOT NULL, stor_id TEXT, lowqty INT... | [
[
" CREATE TABLE authors ( au_id TEXT, au_lname TEXT NOT NULL, au_fname TEXT NOT NULL, phone TEXT NOT NULL, address TEXT, city TEXT, state TEXT, zip TEXT, contract TEXT NOT NULL, PRIMARY KEY (au_id) ) ",
" CREATE TABLE discounts ( discounttype TEXT NOT NULL, stor_id TEXT, lowqty INT... | 11 | 11 | "{\"titles\": [\"royalty\", \"title\", \"type\", \"advance\", \"ytd_sales\", \"title_id\", \"price\", \"pub_id\", \"pubdate\", \"notes\"], \"titleauthor\": [\"royaltyper\", \"title_id\", \"au_ord\", \"au_id\"], \"roysched\": [\"royalty\", \"title_id\", \"hirange\", \"lorange\"], \"sales\": [\"title_id\", \"qty\", \"ord... | |
Name the store with ID 7066 and calculate the percentage of the the quantity ordered that were on 'Net 30' payment terms. | SELECT T2.stor_name , CAST(SUM(CASE WHEN payterms = 'Net 30' THEN qty ELSE 0 END) AS REAL) * 100 / SUM(qty) FROM sales AS T1 INNER JOIN stores AS T2 ON T1.stor_id = T2.stor_id WHERE T1.stor_id = '7066' GROUP BY T2.stor_name | book_publishing_company | 179 | ["stores", "titles", "roysched", "sales", "publishers", "discounts"] | [
[
" CREATE TABLE authors ( au_id TEXT, au_lname TEXT NOT NULL, au_fname TEXT NOT NULL, phone TEXT NOT NULL, address TEXT, city TEXT, state TEXT, zip TEXT, contract TEXT NOT NULL, PRIMARY KEY (au_id) ) ",
" CREATE TABLE discounts ( discounttype TEXT NOT NULL, stor_id TEXT, lowqty INT... | [
[
" CREATE TABLE authors ( au_id TEXT, au_lname TEXT NOT NULL, au_fname TEXT NOT NULL, phone TEXT NOT NULL, address TEXT, city TEXT, state TEXT, zip TEXT, contract TEXT NOT NULL, PRIMARY KEY (au_id) ) ",
" CREATE TABLE discounts ( discounttype TEXT NOT NULL, stor_id TEXT, lowqty INT... | 11 | 11 | "{\"stores\": [\"city\", \"stor_name\", \"state\", \"stor_id\", \"stor_address\", \"zip\"], \"discounts\": [\"discount\", \"discounttype\", \"lowqty\", \"highqty\", \"stor_id\"], \"sales\": [\"payterms\", \"qty\", \"ord_date\", \"stor_id\", \"ord_num\", \"title_id\"], \"titles\": [\"price\", \"ytd_sales\", \"royalty\",... | |
State the publisher name for publisher ID 877? Calculate its average year to date sales. | SELECT T2.pub_name, AVG(T1.ytd_sales) FROM titles AS T1 INNER JOIN publishers AS T2 ON T1.pub_id = T2.pub_id WHERE T1.pub_id = '0877' GROUP BY T2.pub_name | book_publishing_company | 180 | ["stores", "titles", "employee", "roysched", "sales", "publishers", "discounts"] | [
[
" CREATE TABLE authors ( au_id TEXT, au_lname TEXT NOT NULL, au_fname TEXT NOT NULL, phone TEXT NOT NULL, address TEXT, city TEXT, state TEXT, zip TEXT, contract TEXT NOT NULL, PRIMARY KEY (au_id) ) ",
" CREATE TABLE discounts ( discounttype TEXT NOT NULL, stor_id TEXT, lowqty INT... | [
[
" CREATE TABLE authors ( au_id TEXT, au_lname TEXT NOT NULL, au_fname TEXT NOT NULL, phone TEXT NOT NULL, address TEXT, city TEXT, state TEXT, zip TEXT, contract TEXT NOT NULL, PRIMARY KEY (au_id) ) ",
" CREATE TABLE discounts ( discounttype TEXT NOT NULL, stor_id TEXT, lowqty INT... | 11 | 11 | "{\"sales\": [\"ord_date\", \"payterms\", \"title_id\", \"ord_num\", \"qty\", \"stor_id\"], \"employee\": [\"hire_date\", \"job_lvl\", \"emp_id\", \"fname\", \"lname\", \"job_id\", \"pub_id\", \"minit\"], \"titles\": [\"ytd_sales\", \"pubdate\", \"price\", \"title_id\", \"type\", \"advance\", \"royalty\", \"title\", \"... | |
Name all employees who were hired before year 1990. | SELECT fname, lname FROM employee WHERE STRFTIME('%Y', hire_date) < '1990' | book_publishing_company | 181 | ["titles", "employee", "jobs", "roysched", "authors", "publishers", "titleauthor"] | [
[
" CREATE TABLE authors ( au_id TEXT, au_lname TEXT NOT NULL, au_fname TEXT NOT NULL, phone TEXT NOT NULL, address TEXT, city TEXT, state TEXT, zip TEXT, contract TEXT NOT NULL, PRIMARY KEY (au_id) ) ",
" CREATE TABLE discounts ( discounttype TEXT NOT NULL, stor_id TEXT, lowqty INT... | [
[
" CREATE TABLE authors ( au_id TEXT, au_lname TEXT NOT NULL, au_fname TEXT NOT NULL, phone TEXT NOT NULL, address TEXT, city TEXT, state TEXT, zip TEXT, contract TEXT NOT NULL, PRIMARY KEY (au_id) ) ",
" CREATE TABLE discounts ( discounttype TEXT NOT NULL, stor_id TEXT, lowqty INT... | 11 | 11 | "{\"employee\": [\"hire_date\", \"job_lvl\", \"job_id\", \"minit\", \"fname\", \"lname\", \"emp_id\", \"pub_id\"], \"jobs\": [\"job_desc\", \"job_id\", \"min_lvl\", \"max_lvl\"], \"publishers\": [\"city\", \"state\", \"pub_name\", \"pub_id\", \"country\"], \"titles\": [\"ytd_sales\", \"title\", \"title_id\", \"type\", ... | |
Which employee has the lowest job level. State the first name, last name and when he /she was hired. | SELECT fname, lname, hire_date FROM employee ORDER BY job_lvl LIMIT 1 | book_publishing_company | 182 | ["stores", "titles", "employee", "jobs", "roysched", "authors", "sales", "discounts", "publishers", "titleauthor"] | [
[
" CREATE TABLE authors ( au_id TEXT, au_lname TEXT NOT NULL, au_fname TEXT NOT NULL, phone TEXT NOT NULL, address TEXT, city TEXT, state TEXT, zip TEXT, contract TEXT NOT NULL, PRIMARY KEY (au_id) ) ",
" CREATE TABLE discounts ( discounttype TEXT NOT NULL, stor_id TEXT, lowqty INT... | [
[
" CREATE TABLE authors ( au_id TEXT, au_lname TEXT NOT NULL, au_fname TEXT NOT NULL, phone TEXT NOT NULL, address TEXT, city TEXT, state TEXT, zip TEXT, contract TEXT NOT NULL, PRIMARY KEY (au_id) ) ",
" CREATE TABLE discounts ( discounttype TEXT NOT NULL, stor_id TEXT, lowqty INT... | 11 | 11 | "{\"employee\": [\"job_lvl\", \"hire_date\", \"job_id\", \"minit\", \"lname\", \"fname\", \"pub_id\", \"emp_id\"], \"jobs\": [\"min_lvl\", \"job_desc\", \"job_id\", \"max_lvl\"], \"discounts\": [\"lowqty\", \"discount\", \"discounttype\", \"highqty\", \"stor_id\"], \"publishers\": [\"state\", \"pub_name\", \"city\"], \... | |
In which year has the most hired employees? | SELECT STRFTIME('%Y', hire_date) FROM employee GROUP BY STRFTIME('%Y', hire_date) ORDER BY COUNT(emp_id) DESC LIMIT 1 | book_publishing_company | 183 | ["stores", "titles", "employee", "jobs", "roysched", "authors", "sales", "publishers", "titleauthor"] | [
[
" CREATE TABLE authors ( au_id TEXT, au_lname TEXT NOT NULL, au_fname TEXT NOT NULL, phone TEXT NOT NULL, address TEXT, city TEXT, state TEXT, zip TEXT, contract TEXT NOT NULL, PRIMARY KEY (au_id) ) ",
" CREATE TABLE discounts ( discounttype TEXT NOT NULL, stor_id TEXT, lowqty INT... | [
[
" CREATE TABLE authors ( au_id TEXT, au_lname TEXT NOT NULL, au_fname TEXT NOT NULL, phone TEXT NOT NULL, address TEXT, city TEXT, state TEXT, zip TEXT, contract TEXT NOT NULL, PRIMARY KEY (au_id) ) ",
" CREATE TABLE discounts ( discounttype TEXT NOT NULL, stor_id TEXT, lowqty INT... | 11 | 11 | "{\"employee\": [\"hire_date\", \"job_id\", \"job_lvl\", \"fname\", \"lname\", \"minit\", \"emp_id\", \"pub_id\"], \"jobs\": [\"max_lvl\", \"job_desc\", \"min_lvl\", \"job_id\"], \"stores\": [\"city\", \"state\", \"stor_id\", \"stor_name\", \"stor_address\", \"zip\"], \"publishers\": [\"city\", \"state\", \"country\", ... | |
List all employees who are at the maximum level in their job designation. | SELECT T1.fname, T1.lname FROM employee AS T1 INNER JOIN jobs AS T2 ON T1.job_id = T2.job_id WHERE T1.job_lvl = T2.max_lvl | book_publishing_company | 184 | ["stores", "titles", "employee", "jobs", "authors", "sales", "discounts", "publishers", "titleauthor"] | [
[
" CREATE TABLE authors ( au_id TEXT, au_lname TEXT NOT NULL, au_fname TEXT NOT NULL, phone TEXT NOT NULL, address TEXT, city TEXT, state TEXT, zip TEXT, contract TEXT NOT NULL, PRIMARY KEY (au_id) ) ",
" CREATE TABLE discounts ( discounttype TEXT NOT NULL, stor_id TEXT, lowqty INT... | [
[
" CREATE TABLE authors ( au_id TEXT, au_lname TEXT NOT NULL, au_fname TEXT NOT NULL, phone TEXT NOT NULL, address TEXT, city TEXT, state TEXT, zip TEXT, contract TEXT NOT NULL, PRIMARY KEY (au_id) ) ",
" CREATE TABLE discounts ( discounttype TEXT NOT NULL, stor_id TEXT, lowqty INT... | 11 | 11 | "{\"employee\": [\"job_lvl\", \"job_id\", \"hire_date\", \"fname\", \"minit\", \"lname\", \"pub_id\", \"emp_id\"], \"jobs\": [\"max_lvl\", \"job_desc\", \"min_lvl\", \"job_id\"], \"discounts\": [\"highqty\", \"stor_id\", \"discount\"], \"stores\": [\"city\", \"stor_name\", \"stor_id\", \"state\", \"stor_address\"], \"t... | |
Name the Chief Executive Officer and when he/she was hired. | SELECT T1.fname, T1.lname, T1.hire_date FROM employee AS T1 INNER JOIN jobs AS T2 ON T1.job_id = T2.job_id WHERE T2.job_desc = 'Chief Financial Officier' | book_publishing_company | 185 | ["stores", "titles", "employee", "jobs", "roysched", "authors", "sales", "publishers", "titleauthor"] | [
[
" CREATE TABLE authors ( au_id TEXT, au_lname TEXT NOT NULL, au_fname TEXT NOT NULL, phone TEXT NOT NULL, address TEXT, city TEXT, state TEXT, zip TEXT, contract TEXT NOT NULL, PRIMARY KEY (au_id) ) ",
" CREATE TABLE discounts ( discounttype TEXT NOT NULL, stor_id TEXT, lowqty INT... | [
[
" CREATE TABLE authors ( au_id TEXT, au_lname TEXT NOT NULL, au_fname TEXT NOT NULL, phone TEXT NOT NULL, address TEXT, city TEXT, state TEXT, zip TEXT, contract TEXT NOT NULL, PRIMARY KEY (au_id) ) ",
" CREATE TABLE discounts ( discounttype TEXT NOT NULL, stor_id TEXT, lowqty INT... | 11 | 11 | "{\"employee\": [\"hire_date\", \"job_lvl\", \"job_id\", \"fname\", \"emp_id\", \"lname\", \"minit\", \"pub_id\"], \"jobs\": [\"job_desc\", \"job_id\", \"min_lvl\", \"max_lvl\"], \"roysched\": [\"hirange\", \"lorange\", \"royalty\", \"title_id\"], \"sales\": [\"ord_date\", \"qty\", \"ord_num\", \"title_id\", \"payterms... | |
Who are the employees working for publisher not located in USA? State the employee's name and publisher name. | SELECT T1.fname, T1.lname, T2.pub_name FROM employee AS T1 INNER JOIN publishers AS T2 ON T1.pub_id = T2.pub_id WHERE T2.country != 'USA' | book_publishing_company | 186 | ["stores", "titles", "employee", "jobs", "roysched", "authors", "sales", "publishers", "titleauthor"] | [
[
" CREATE TABLE authors ( au_id TEXT, au_lname TEXT NOT NULL, au_fname TEXT NOT NULL, phone TEXT NOT NULL, address TEXT, city TEXT, state TEXT, zip TEXT, contract TEXT NOT NULL, PRIMARY KEY (au_id) ) ",
" CREATE TABLE discounts ( discounttype TEXT NOT NULL, stor_id TEXT, lowqty INT... | [
[
" CREATE TABLE authors ( au_id TEXT, au_lname TEXT NOT NULL, au_fname TEXT NOT NULL, phone TEXT NOT NULL, address TEXT, city TEXT, state TEXT, zip TEXT, contract TEXT NOT NULL, PRIMARY KEY (au_id) ) ",
" CREATE TABLE discounts ( discounttype TEXT NOT NULL, stor_id TEXT, lowqty INT... | 11 | 11 | "{\"employee\": [\"job_lvl\", \"job_id\", \"fname\", \"lname\", \"hire_date\", \"pub_id\", \"minit\", \"emp_id\"], \"publishers\": [\"state\", \"city\", \"country\", \"pub_name\", \"pub_id\"], \"authors\": [\"state\", \"city\", \"au_lname\", \"au_id\", \"au_fname\", \"address\", \"contract\"], \"jobs\": [\"job_desc\", ... | |
List all employees working for publisher 'GGG&G'. State their name and job description. | SELECT T1.fname, T1.lname, T3.job_desc FROM employee AS T1 INNER JOIN publishers AS T2 ON T1.pub_id = T2.pub_id INNER JOIN jobs AS T3 ON T1.job_id = T3.job_id WHERE T2.pub_name = 'GGG&G' | book_publishing_company | 187 | ["stores", "titles", "employee", "jobs", "authors", "sales", "publishers", "titleauthor"] | [
[
" CREATE TABLE authors ( au_id TEXT, au_lname TEXT NOT NULL, au_fname TEXT NOT NULL, phone TEXT NOT NULL, address TEXT, city TEXT, state TEXT, zip TEXT, contract TEXT NOT NULL, PRIMARY KEY (au_id) ) ",
" CREATE TABLE discounts ( discounttype TEXT NOT NULL, stor_id TEXT, lowqty INT... | [
[
" CREATE TABLE authors ( au_id TEXT, au_lname TEXT NOT NULL, au_fname TEXT NOT NULL, phone TEXT NOT NULL, address TEXT, city TEXT, state TEXT, zip TEXT, contract TEXT NOT NULL, PRIMARY KEY (au_id) ) ",
" CREATE TABLE discounts ( discounttype TEXT NOT NULL, stor_id TEXT, lowqty INT... | 11 | 11 | "{\"employee\": [\"job_id\", \"job_lvl\", \"hire_date\", \"fname\", \"lname\", \"minit\", \"pub_id\", \"emp_id\"], \"jobs\": [\"job_desc\", \"job_id\", \"min_lvl\", \"max_lvl\"], \"publishers\": [\"state\", \"city\", \"pub_name\", \"country\", \"pub_id\"], \"stores\": [\"city\", \"state\", \"stor_name\", \"stor_id\"], ... | |
For each publisher, state the type of titles they published order by the publisher name. | SELECT DISTINCT T2.pub_name, T1.type FROM titles AS T1 INNER JOIN publishers AS T2 ON T1.pub_id = T2.pub_id ORDER BY T2.pub_name | book_publishing_company | 188 | ["titles", "authors", "sales", "publishers", "titleauthor"] | [
[
" CREATE TABLE authors ( au_id TEXT, au_lname TEXT NOT NULL, au_fname TEXT NOT NULL, phone TEXT NOT NULL, address TEXT, city TEXT, state TEXT, zip TEXT, contract TEXT NOT NULL, PRIMARY KEY (au_id) ) ",
" CREATE TABLE discounts ( discounttype TEXT NOT NULL, stor_id TEXT, lowqty INT... | [
[
" CREATE TABLE authors ( au_id TEXT, au_lname TEXT NOT NULL, au_fname TEXT NOT NULL, phone TEXT NOT NULL, address TEXT, city TEXT, state TEXT, zip TEXT, contract TEXT NOT NULL, PRIMARY KEY (au_id) ) ",
" CREATE TABLE discounts ( discounttype TEXT NOT NULL, stor_id TEXT, lowqty INT... | 11 | 11 | "{\"titles\": [\"type\", \"ytd_sales\", \"royalty\", \"title_id\", \"pub_id\", \"title\", \"advance\", \"pubdate\", \"price\", \"notes\"], \"publishers\": [\"state\", \"pub_name\", \"city\", \"pub_id\", \"country\"], \"titleauthor\": [\"title_id\", \"royaltyper\", \"au_ord\", \"au_id\"], \"sales\": [\"title_id\", \"pay... | |
Name the publisher which has the most titles published in 1991. | SELECT T2.pub_name FROM titles AS T1 INNER JOIN publishers AS T2 ON T1.pub_id = T2.pub_id WHERE STRFTIME('%Y', T1.pubdate) = '1991' GROUP BY T1.pub_id, T2.pub_name ORDER BY COUNT(T1.title_id) DESC LIMIT 1 | book_publishing_company | 189 | ["titles", "roysched", "authors", "sales", "publishers", "titleauthor"] | [
[
" CREATE TABLE authors ( au_id TEXT, au_lname TEXT NOT NULL, au_fname TEXT NOT NULL, phone TEXT NOT NULL, address TEXT, city TEXT, state TEXT, zip TEXT, contract TEXT NOT NULL, PRIMARY KEY (au_id) ) ",
" CREATE TABLE discounts ( discounttype TEXT NOT NULL, stor_id TEXT, lowqty INT... | [
[
" CREATE TABLE authors ( au_id TEXT, au_lname TEXT NOT NULL, au_fname TEXT NOT NULL, phone TEXT NOT NULL, address TEXT, city TEXT, state TEXT, zip TEXT, contract TEXT NOT NULL, PRIMARY KEY (au_id) ) ",
" CREATE TABLE discounts ( discounttype TEXT NOT NULL, stor_id TEXT, lowqty INT... | 11 | 11 | "{\"titles\": [\"type\", \"ytd_sales\", \"title\", \"royalty\", \"title_id\", \"pubdate\", \"pub_id\", \"price\", \"advance\", \"notes\"], \"titleauthor\": [\"royaltyper\", \"title_id\", \"au_id\", \"au_ord\"], \"publishers\": [\"city\", \"state\", \"pub_name\", \"country\", \"pub_id\"], \"roysched\": [\"title_id\", \"... | |
Name the title with the highest price published by 'Binnet & Hardley'. | SELECT T1.title FROM titles AS T1 INNER JOIN publishers AS T2 ON T1.pub_id = T2.pub_id WHERE T2.pub_name = 'Binnet & Hardley' ORDER BY T1.price DESC LIMIT 1 | book_publishing_company | 190 | ["stores", "titles", "roysched", "sales", "discounts", "titleauthor"] | [
[
" CREATE TABLE authors ( au_id TEXT, au_lname TEXT NOT NULL, au_fname TEXT NOT NULL, phone TEXT NOT NULL, address TEXT, city TEXT, state TEXT, zip TEXT, contract TEXT NOT NULL, PRIMARY KEY (au_id) ) ",
" CREATE TABLE discounts ( discounttype TEXT NOT NULL, stor_id TEXT, lowqty INT... | [
[
" CREATE TABLE authors ( au_id TEXT, au_lname TEXT NOT NULL, au_fname TEXT NOT NULL, phone TEXT NOT NULL, address TEXT, city TEXT, state TEXT, zip TEXT, contract TEXT NOT NULL, PRIMARY KEY (au_id) ) ",
" CREATE TABLE discounts ( discounttype TEXT NOT NULL, stor_id TEXT, lowqty INT... | 11 | 11 | "{\"titles\": [\"price\", \"type\", \"title_id\", \"title\", \"advance\", \"ytd_sales\", \"pubdate\", \"royalty\", \"pub_id\", \"notes\"], \"discounts\": [\"highqty\", \"discount\", \"discounttype\", \"stor_id\", \"lowqty\"], \"titleauthor\": [\"title_id\", \"au_id\", \"au_ord\", \"royaltyper\"], \"roysched\": [\"title... | |
Among all employees, who have job level greater than 200. State the employee name and job description. | SELECT T1.fname, T1.lname, T2.job_desc FROM employee AS T1 INNER JOIN jobs AS T2 ON T1.job_id = T2.job_id WHERE T1.job_lvl > 200 | book_publishing_company | 191 | ["stores", "titles", "employee", "jobs", "authors", "sales", "publishers", "titleauthor"] | [
[
" CREATE TABLE authors ( au_id TEXT, au_lname TEXT NOT NULL, au_fname TEXT NOT NULL, phone TEXT NOT NULL, address TEXT, city TEXT, state TEXT, zip TEXT, contract TEXT NOT NULL, PRIMARY KEY (au_id) ) ",
" CREATE TABLE discounts ( discounttype TEXT NOT NULL, stor_id TEXT, lowqty INT... | [
[
" CREATE TABLE authors ( au_id TEXT, au_lname TEXT NOT NULL, au_fname TEXT NOT NULL, phone TEXT NOT NULL, address TEXT, city TEXT, state TEXT, zip TEXT, contract TEXT NOT NULL, PRIMARY KEY (au_id) ) ",
" CREATE TABLE discounts ( discounttype TEXT NOT NULL, stor_id TEXT, lowqty INT... | 11 | 11 | "{\"employee\": [\"job_lvl\", \"job_id\", \"hire_date\", \"lname\", \"minit\", \"fname\", \"pub_id\", \"emp_id\"], \"jobs\": [\"max_lvl\", \"job_desc\", \"job_id\", \"min_lvl\"], \"publishers\": [\"state\", \"city\", \"pub_name\"], \"authors\": [\"state\", \"city\", \"au_lname\", \"au_fname\", \"au_id\"], \"stores\": [... | |
Name all the authors for all business titles. | SELECT T3.au_fname, T3.au_lname FROM titles AS T1 INNER JOIN titleauthor AS T2 ON T1.title_id = T2.title_id INNER JOIN authors AS T3 ON T2.au_id = T3.au_id WHERE T1.type = 'business' | book_publishing_company | 192 | ["titles", "roysched", "authors", "sales", "publishers", "titleauthor"] | [
[
" CREATE TABLE authors ( au_id TEXT, au_lname TEXT NOT NULL, au_fname TEXT NOT NULL, phone TEXT NOT NULL, address TEXT, city TEXT, state TEXT, zip TEXT, contract TEXT NOT NULL, PRIMARY KEY (au_id) ) ",
" CREATE TABLE discounts ( discounttype TEXT NOT NULL, stor_id TEXT, lowqty INT... | [
[
" CREATE TABLE authors ( au_id TEXT, au_lname TEXT NOT NULL, au_fname TEXT NOT NULL, phone TEXT NOT NULL, address TEXT, city TEXT, state TEXT, zip TEXT, contract TEXT NOT NULL, PRIMARY KEY (au_id) ) ",
" CREATE TABLE discounts ( discounttype TEXT NOT NULL, stor_id TEXT, lowqty INT... | 11 | 11 | "{\"titles\": [\"type\", \"title\", \"title_id\", \"advance\", \"pub_id\", \"royalty\", \"ytd_sales\", \"pubdate\", \"notes\", \"price\"], \"authors\": [\"city\", \"au_lname\", \"au_fname\", \"au_id\", \"contract\", \"state\", \"address\", \"phone\", \"zip\"], \"titleauthor\": [\"title_id\", \"royaltyper\", \"au_ord\",... | |
List all the titles and year to date sales by author who are not on contract. | SELECT T1.title_id, T1.ytd_sales FROM titles AS T1 INNER JOIN titleauthor AS T2 ON T1.title_id = T2.title_id INNER JOIN authors AS T3 ON T2.au_id = T3.au_id WHERE T3.contract = 0 | book_publishing_company | 193 | ["titles", "employee", "authors", "sales", "publishers", "titleauthor"] | [
[
" CREATE TABLE authors ( au_id TEXT, au_lname TEXT NOT NULL, au_fname TEXT NOT NULL, phone TEXT NOT NULL, address TEXT, city TEXT, state TEXT, zip TEXT, contract TEXT NOT NULL, PRIMARY KEY (au_id) ) ",
" CREATE TABLE discounts ( discounttype TEXT NOT NULL, stor_id TEXT, lowqty INT... | [
[
" CREATE TABLE authors ( au_id TEXT, au_lname TEXT NOT NULL, au_fname TEXT NOT NULL, phone TEXT NOT NULL, address TEXT, city TEXT, state TEXT, zip TEXT, contract TEXT NOT NULL, PRIMARY KEY (au_id) ) ",
" CREATE TABLE discounts ( discounttype TEXT NOT NULL, stor_id TEXT, lowqty INT... | 11 | 11 | "{\"titles\": [\"ytd_sales\", \"pubdate\", \"title_id\", \"title\", \"type\", \"advance\", \"pub_id\", \"royalty\", \"price\", \"notes\"], \"authors\": [\"contract\", \"au_id\", \"au_lname\", \"au_fname\", \"city\", \"state\", \"zip\", \"address\", \"phone\"], \"sales\": [\"ord_date\", \"title_id\", \"qty\", \"ord_num\... | |
For all authors from CA who are not on contract, which title of his/hers has the most year to date sales. | SELECT T1.title FROM titles AS T1 INNER JOIN titleauthor AS T2 ON T1.title_id = T2.title_id INNER JOIN authors AS T3 ON T2.au_id = T3.au_id WHERE T3.contract = 0 AND T3.state = 'CA' ORDER BY T1.ytd_sales DESC LIMIT 1 | book_publishing_company | 194 | ["stores", "titles", "employee", "authors", "sales", "discounts", "publishers", "titleauthor"] | [
[
" CREATE TABLE authors ( au_id TEXT, au_lname TEXT NOT NULL, au_fname TEXT NOT NULL, phone TEXT NOT NULL, address TEXT, city TEXT, state TEXT, zip TEXT, contract TEXT NOT NULL, PRIMARY KEY (au_id) ) ",
" CREATE TABLE discounts ( discounttype TEXT NOT NULL, stor_id TEXT, lowqty INT... | [
[
" CREATE TABLE authors ( au_id TEXT, au_lname TEXT NOT NULL, au_fname TEXT NOT NULL, phone TEXT NOT NULL, address TEXT, city TEXT, state TEXT, zip TEXT, contract TEXT NOT NULL, PRIMARY KEY (au_id) ) ",
" CREATE TABLE discounts ( discounttype TEXT NOT NULL, stor_id TEXT, lowqty INT... | 11 | 11 | "{\"authors\": [\"contract\", \"state\", \"city\", \"au_id\", \"au_lname\", \"au_fname\", \"address\", \"zip\", \"phone\"], \"titles\": [\"ytd_sales\", \"pubdate\", \"title\", \"title_id\", \"type\", \"pub_id\", \"advance\", \"price\", \"royalty\", \"notes\"], \"sales\": [\"ord_date\", \"title_id\", \"stor_id\", \"qty\... | |
Name all the authors for 'Sushi, Anyone?'. | SELECT T3.au_fname, T3.au_lname FROM titles AS T1 INNER JOIN titleauthor AS T2 ON T1.title_id = T2.title_id INNER JOIN authors AS T3 ON T2.au_id = T3.au_id WHERE T1.title = 'Sushi, Anyone?' | book_publishing_company | 195 | ["stores", "titles", "roysched", "authors", "sales", "pub_info", "discounts", "publishers", "titleauthor"] | [
[
" CREATE TABLE authors ( au_id TEXT, au_lname TEXT NOT NULL, au_fname TEXT NOT NULL, phone TEXT NOT NULL, address TEXT, city TEXT, state TEXT, zip TEXT, contract TEXT NOT NULL, PRIMARY KEY (au_id) ) ",
" CREATE TABLE discounts ( discounttype TEXT NOT NULL, stor_id TEXT, lowqty INT... | [
[
" CREATE TABLE authors ( au_id TEXT, au_lname TEXT NOT NULL, au_fname TEXT NOT NULL, phone TEXT NOT NULL, address TEXT, city TEXT, state TEXT, zip TEXT, contract TEXT NOT NULL, PRIMARY KEY (au_id) ) ",
" CREATE TABLE discounts ( discounttype TEXT NOT NULL, stor_id TEXT, lowqty INT... | 11 | 11 | "{\"authors\": [\"city\", \"au_id\", \"au_lname\", \"au_fname\", \"address\", \"contract\", \"state\", \"zip\", \"phone\"], \"titleauthor\": [\"au_ord\", \"au_id\", \"royaltyper\", \"title_id\"], \"roysched\": [\"lorange\", \"hirange\", \"title_id\", \"royalty\"], \"discounts\": [\"lowqty\", \"discounttype\", \"highqty... | |
Calculate the percentage of the employees who are Editor or Designer? | SELECT CAST(SUM(CASE WHEN T2.job_desc IN ('Editor', '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 | book_publishing_company | 196 | ["stores", "titles", "employee", "jobs", "roysched", "authors", "sales", "discounts", "publishers", "titleauthor"] | [
[
" CREATE TABLE authors ( au_id TEXT, au_lname TEXT NOT NULL, au_fname TEXT NOT NULL, phone TEXT NOT NULL, address TEXT, city TEXT, state TEXT, zip TEXT, contract TEXT NOT NULL, PRIMARY KEY (au_id) ) ",
" CREATE TABLE discounts ( discounttype TEXT NOT NULL, stor_id TEXT, lowqty INT... | [
[
" CREATE TABLE authors ( au_id TEXT, au_lname TEXT NOT NULL, au_fname TEXT NOT NULL, phone TEXT NOT NULL, address TEXT, city TEXT, state TEXT, zip TEXT, contract TEXT NOT NULL, PRIMARY KEY (au_id) ) ",
" CREATE TABLE discounts ( discounttype TEXT NOT NULL, stor_id TEXT, lowqty INT... | 11 | 11 | "{\"employee\": [\"job_lvl\", \"hire_date\", \"job_id\", \"lname\", \"emp_id\", \"minit\", \"fname\", \"pub_id\"], \"jobs\": [\"min_lvl\", \"max_lvl\", \"job_id\", \"job_desc\"], \"publishers\": [\"city\", \"pub_id\", \"pub_name\", \"country\", \"state\"], \"authors\": [\"city\", \"au_lname\", \"au_id\", \"au_fname\", ... | |
List all titles which have year to date sales higher than the average order by pubisher name. | SELECT T1.title FROM titles AS T1 INNER JOIN publishers AS T2 ON T1.pub_id = T2.pub_id WHERE T1.ytd_sales > ( SELECT AVG(ytd_sales) FROM titles ) | book_publishing_company | 197 | ["stores", "titles", "sales", "pub_info", "discounts", "publishers", "titleauthor"] | [
[
" CREATE TABLE authors ( au_id TEXT, au_lname TEXT NOT NULL, au_fname TEXT NOT NULL, phone TEXT NOT NULL, address TEXT, city TEXT, state TEXT, zip TEXT, contract TEXT NOT NULL, PRIMARY KEY (au_id) ) ",
" CREATE TABLE discounts ( discounttype TEXT NOT NULL, stor_id TEXT, lowqty INT... | [
[
" CREATE TABLE authors ( au_id TEXT, au_lname TEXT NOT NULL, au_fname TEXT NOT NULL, phone TEXT NOT NULL, address TEXT, city TEXT, state TEXT, zip TEXT, contract TEXT NOT NULL, PRIMARY KEY (au_id) ) ",
" CREATE TABLE discounts ( discounttype TEXT NOT NULL, stor_id TEXT, lowqty INT... | 11 | 11 | "{\"titles\": [\"pubdate\", \"ytd_sales\", \"pub_id\", \"price\", \"advance\", \"type\", \"title_id\", \"royalty\", \"title\", \"notes\"], \"sales\": [\"ord_date\", \"title_id\", \"stor_id\", \"payterms\", \"qty\", \"ord_num\"], \"discounts\": [\"highqty\", \"stor_id\", \"discount\", \"discounttype\", \"lowqty\"], \"pu... | |
How many publishers are in the USA? | SELECT COUNT(pub_id) FROM publishers WHERE country = 'USA' | book_publishing_company | 198 | ["stores", "titles", "employee", "jobs", "authors", "sales", "publishers", "titleauthor"] | [
[
" CREATE TABLE authors ( au_id TEXT, au_lname TEXT NOT NULL, au_fname TEXT NOT NULL, phone TEXT NOT NULL, address TEXT, city TEXT, state TEXT, zip TEXT, contract TEXT NOT NULL, PRIMARY KEY (au_id) ) ",
" CREATE TABLE discounts ( discounttype TEXT NOT NULL, stor_id TEXT, lowqty INT... | [
[
" CREATE TABLE authors ( au_id TEXT, au_lname TEXT NOT NULL, au_fname TEXT NOT NULL, phone TEXT NOT NULL, address TEXT, city TEXT, state TEXT, zip TEXT, contract TEXT NOT NULL, PRIMARY KEY (au_id) ) ",
" CREATE TABLE discounts ( discounttype TEXT NOT NULL, stor_id TEXT, lowqty INT... | 11 | 11 | "{\"publishers\": [\"state\", \"city\", \"country\", \"pub_id\", \"pub_name\"], \"authors\": [\"state\", \"city\", \"au_id\", \"au_fname\", \"address\", \"au_lname\", \"contract\", \"phone\", \"zip\"], \"stores\": [\"state\", \"city\", \"stor_id\", \"stor_address\", \"stor_name\", \"zip\"], \"titles\": [\"ytd_sales\", ... | |
What is the publisher's information of New Moon Books? | SELECT T1.pr_info FROM pub_info AS T1 INNER JOIN publishers AS T2 ON T1.pub_id = T2.pub_id WHERE T2.pub_name = 'New Moon Books' | book_publishing_company | 199 | ["titles", "authors", "pub_info", "publishers", "titleauthor"] | [
[
" CREATE TABLE authors ( au_id TEXT, au_lname TEXT NOT NULL, au_fname TEXT NOT NULL, phone TEXT NOT NULL, address TEXT, city TEXT, state TEXT, zip TEXT, contract TEXT NOT NULL, PRIMARY KEY (au_id) ) ",
" CREATE TABLE discounts ( discounttype TEXT NOT NULL, stor_id TEXT, lowqty INT... | [
[
" CREATE TABLE authors ( au_id TEXT, au_lname TEXT NOT NULL, au_fname TEXT NOT NULL, phone TEXT NOT NULL, address TEXT, city TEXT, state TEXT, zip TEXT, contract TEXT NOT NULL, PRIMARY KEY (au_id) ) ",
" CREATE TABLE discounts ( discounttype TEXT NOT NULL, stor_id TEXT, lowqty INT... | 11 | 11 | "{\"publishers\": [\"pub_id\", \"city\", \"state\", \"pub_name\", \"country\"], \"authors\": [\"city\", \"au_id\", \"state\", \"address\", \"zip\", \"au_fname\", \"au_lname\", \"contract\", \"phone\"], \"titles\": [\"pubdate\", \"pub_id\", \"advance\", \"type\", \"ytd_sales\", \"royalty\", \"title\", \"notes\", \"price... | |
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' | book_publishing_company | 200 | ["titles", "employee", "jobs", "roysched", "authors", "publishers", "titleauthor"] | [
[
" CREATE TABLE authors ( au_id TEXT, au_lname TEXT NOT NULL, au_fname TEXT NOT NULL, phone TEXT NOT NULL, address TEXT, city TEXT, state TEXT, zip TEXT, contract TEXT NOT NULL, PRIMARY KEY (au_id) ) ",
" CREATE TABLE discounts ( discounttype TEXT NOT NULL, stor_id TEXT, lowqty INT... | [
[
" CREATE TABLE authors ( au_id TEXT, au_lname TEXT NOT NULL, au_fname TEXT NOT NULL, phone TEXT NOT NULL, address TEXT, city TEXT, state TEXT, zip TEXT, contract TEXT NOT NULL, PRIMARY KEY (au_id) ) ",
" CREATE TABLE discounts ( discounttype TEXT NOT NULL, stor_id TEXT, lowqty INT... | 11 | 11 | "{\"employee\": [\"job_id\", \"job_lvl\", \"hire_date\", \"fname\", \"lname\", \"minit\", \"pub_id\", \"emp_id\"], \"jobs\": [\"job_desc\", \"job_id\", \"min_lvl\", \"max_lvl\"], \"authors\": [\"au_lname\", \"city\", \"au_fname\", \"au_id\", \"contract\", \"zip\", \"state\", \"phone\", \"address\"], \"roysched\": [\"hi... | |
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 | book_publishing_company | 201 | ["stores", "titles", "employee", "jobs", "roysched", "authors", "sales", "discounts", "publishers", "titleauthor"] | [
[
" CREATE TABLE authors ( au_id TEXT, au_lname TEXT NOT NULL, au_fname TEXT NOT NULL, phone TEXT NOT NULL, address TEXT, city TEXT, state TEXT, zip TEXT, contract TEXT NOT NULL, PRIMARY KEY (au_id) ) ",
" CREATE TABLE discounts ( discounttype TEXT NOT NULL, stor_id TEXT, lowqty INT... | [
[
" CREATE TABLE authors ( au_id TEXT, au_lname TEXT NOT NULL, au_fname TEXT NOT NULL, phone TEXT NOT NULL, address TEXT, city TEXT, state TEXT, zip TEXT, contract TEXT NOT NULL, PRIMARY KEY (au_id) ) ",
" CREATE TABLE discounts ( discounttype TEXT NOT NULL, stor_id TEXT, lowqty INT... | 11 | 11 | "{\"employee\": [\"hire_date\", \"job_lvl\", \"job_id\", \"minit\", \"lname\", \"emp_id\", \"fname\", \"pub_id\"], \"jobs\": [\"max_lvl\", \"min_lvl\", \"job_desc\", \"job_id\"], \"discounts\": [\"highqty\", \"lowqty\", \"discount\"], \"roysched\": [\"hirange\", \"lorange\", \"title_id\", \"royalty\"], \"stores\": [\"c... | |
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 | book_publishing_company | 202 | ["stores", "titles", "employee", "jobs", "roysched", "sales", "publishers", "discounts"] | [
[
" CREATE TABLE authors ( au_id TEXT, au_lname TEXT NOT NULL, au_fname TEXT NOT NULL, phone TEXT NOT NULL, address TEXT, city TEXT, state TEXT, zip TEXT, contract TEXT NOT NULL, PRIMARY KEY (au_id) ) ",
" CREATE TABLE discounts ( discounttype TEXT NOT NULL, stor_id TEXT, lowqty INT... | [
[
" CREATE TABLE authors ( au_id TEXT, au_lname TEXT NOT NULL, au_fname TEXT NOT NULL, phone TEXT NOT NULL, address TEXT, city TEXT, state TEXT, zip TEXT, contract TEXT NOT NULL, PRIMARY KEY (au_id) ) ",
" CREATE TABLE discounts ( discounttype TEXT NOT NULL, stor_id TEXT, lowqty INT... | 11 | 11 | "{\"stores\": [\"city\", \"state\", \"stor_id\", \"stor_name\", \"stor_address\", \"zip\"], \"discounts\": [\"highqty\", \"discount\", \"stor_id\", \"discounttype\", \"lowqty\"], \"publishers\": [\"city\", \"state\", \"country\", \"pub_id\", \"pub_name\"], \"sales\": [\"ord_num\", \"stor_id\", \"qty\", \"ord_date\", \"... | |
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 | book_publishing_company | 203 | ["stores", "titles", "roysched", "sales", "discounts", "publishers", "titleauthor"] | [
[
" CREATE TABLE authors ( au_id TEXT, au_lname TEXT NOT NULL, au_fname TEXT NOT NULL, phone TEXT NOT NULL, address TEXT, city TEXT, state TEXT, zip TEXT, contract TEXT NOT NULL, PRIMARY KEY (au_id) ) ",
" CREATE TABLE discounts ( discounttype TEXT NOT NULL, stor_id TEXT, lowqty INT... | [
[
" CREATE TABLE authors ( au_id TEXT, au_lname TEXT NOT NULL, au_fname TEXT NOT NULL, phone TEXT NOT NULL, address TEXT, city TEXT, state TEXT, zip TEXT, contract TEXT NOT NULL, PRIMARY KEY (au_id) ) ",
" CREATE TABLE discounts ( discounttype TEXT NOT NULL, stor_id TEXT, lowqty INT... | 11 | 11 | "{\"titles\": [\"price\", \"ytd_sales\", \"royalty\", \"title_id\", \"title\", \"pub_id\", \"type\", \"advance\", \"pubdate\"], \"discounts\": [\"discount\", \"highqty\", \"discounttype\", \"stor_id\", \"lowqty\"], \"sales\": [\"qty\", \"payterms\", \"title_id\", \"stor_id\", \"ord_num\", \"ord_date\"], \"roysched\": [... | |
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' | book_publishing_company | 204 | ["stores", "titles", "employee", "jobs", "roysched", "authors", "sales", "discounts", "publishers", "titleauthor"] | [
[
" CREATE TABLE authors ( au_id TEXT, au_lname TEXT NOT NULL, au_fname TEXT NOT NULL, phone TEXT NOT NULL, address TEXT, city TEXT, state TEXT, zip TEXT, contract TEXT NOT NULL, PRIMARY KEY (au_id) ) ",
" CREATE TABLE discounts ( discounttype TEXT NOT NULL, stor_id TEXT, lowqty INT... | [
[
" CREATE TABLE authors ( au_id TEXT, au_lname TEXT NOT NULL, au_fname TEXT NOT NULL, phone TEXT NOT NULL, address TEXT, city TEXT, state TEXT, zip TEXT, contract TEXT NOT NULL, PRIMARY KEY (au_id) ) ",
" CREATE TABLE discounts ( discounttype TEXT NOT NULL, stor_id TEXT, lowqty INT... | 11 | 11 | "{\"stores\": [\"city\", \"state\", \"stor_name\", \"zip\", \"stor_id\", \"stor_address\"], \"discounts\": [\"highqty\", \"lowqty\", \"discount\", \"stor_id\", \"discounttype\"], \"publishers\": [\"city\", \"state\", \"country\", \"pub_id\", \"pub_name\"], \"roysched\": [\"lorange\", \"hirange\", \"royalty\", \"title_i... | |
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' | book_publishing_company | 205 | ["stores", "titles", "employee", "jobs", "authors", "sales", "discounts", "publishers", "titleauthor"] | [
[
" CREATE TABLE authors ( au_id TEXT, au_lname TEXT NOT NULL, au_fname TEXT NOT NULL, phone TEXT NOT NULL, address TEXT, city TEXT, state TEXT, zip TEXT, contract TEXT NOT NULL, PRIMARY KEY (au_id) ) ",
" CREATE TABLE discounts ( discounttype TEXT NOT NULL, stor_id TEXT, lowqty INT... | [
[
" CREATE TABLE authors ( au_id TEXT, au_lname TEXT NOT NULL, au_fname TEXT NOT NULL, phone TEXT NOT NULL, address TEXT, city TEXT, state TEXT, zip TEXT, contract TEXT NOT NULL, PRIMARY KEY (au_id) ) ",
" CREATE TABLE discounts ( discounttype TEXT NOT NULL, stor_id TEXT, lowqty INT... | 11 | 11 | "{\"stores\": [\"city\", \"state\", \"zip\", \"stor_name\", \"stor_address\", \"stor_id\"], \"titleauthor\": [\"au_id\", \"au_ord\", \"title_id\"], \"publishers\": [\"city\", \"state\", \"pub_id\", \"country\", \"pub_name\"], \"discounts\": [\"highqty\", \"lowqty\", \"discounttype\", \"stor_id\", \"discount\"], \"autho... | |
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' | book_publishing_company | 206 | ["stores", "titles", "employee", "roysched", "authors", "sales", "pub_info", "publishers", "titleauthor"] | [
[
" CREATE TABLE authors ( au_id TEXT, au_lname TEXT NOT NULL, au_fname TEXT NOT NULL, phone TEXT NOT NULL, address TEXT, city TEXT, state TEXT, zip TEXT, contract TEXT NOT NULL, PRIMARY KEY (au_id) ) ",
" CREATE TABLE discounts ( discounttype TEXT NOT NULL, stor_id TEXT, lowqty INT... | [
[
" CREATE TABLE authors ( au_id TEXT, au_lname TEXT NOT NULL, au_fname TEXT NOT NULL, phone TEXT NOT NULL, address TEXT, city TEXT, state TEXT, zip TEXT, contract TEXT NOT NULL, PRIMARY KEY (au_id) ) ",
" CREATE TABLE discounts ( discounttype TEXT NOT NULL, stor_id TEXT, lowqty INT... | 11 | 11 | "{\"publishers\": [\"country\", \"city\", \"state\", \"pub_id\", \"pub_name\"], \"authors\": [\"city\", \"au_id\", \"au_fname\", \"address\", \"state\", \"au_lname\", \"contract\", \"zip\", \"phone\"], \"titleauthor\": [\"au_id\", \"au_ord\", \"title_id\", \"royaltyper\"], \"stores\": [\"city\", \"state\", \"stor_name\... | |
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 | book_publishing_company | 207 | ["titles", "roysched", "authors", "sales", "publishers", "titleauthor"] | [
[
" CREATE TABLE authors ( au_id TEXT, au_lname TEXT NOT NULL, au_fname TEXT NOT NULL, phone TEXT NOT NULL, address TEXT, city TEXT, state TEXT, zip TEXT, contract TEXT NOT NULL, PRIMARY KEY (au_id) ) ",
" CREATE TABLE discounts ( discounttype TEXT NOT NULL, stor_id TEXT, lowqty INT... | [
[
" CREATE TABLE authors ( au_id TEXT, au_lname TEXT NOT NULL, au_fname TEXT NOT NULL, phone TEXT NOT NULL, address TEXT, city TEXT, state TEXT, zip TEXT, contract TEXT NOT NULL, PRIMARY KEY (au_id) ) ",
" CREATE TABLE discounts ( discounttype TEXT NOT NULL, stor_id TEXT, lowqty INT... | 11 | 11 | "{\"publishers\": [\"city\", \"state\", \"pub_id\", \"country\", \"pub_name\"], \"authors\": [\"au_id\", \"city\", \"au_fname\", \"state\", \"au_lname\", \"address\", \"contract\", \"zip\", \"phone\"], \"titles\": [\"price\", \"pub_id\", \"pubdate\", \"royalty\", \"advance\", \"type\", \"ytd_sales\", \"title\", \"title... | |
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 | book_publishing_company | 208 | ["stores", "titles", "employee", "jobs", "authors", "sales", "discounts", "publishers", "titleauthor"] | [
[
" CREATE TABLE authors ( au_id TEXT, au_lname TEXT NOT NULL, au_fname TEXT NOT NULL, phone TEXT NOT NULL, address TEXT, city TEXT, state TEXT, zip TEXT, contract TEXT NOT NULL, PRIMARY KEY (au_id) ) ",
" CREATE TABLE discounts ( discounttype TEXT NOT NULL, stor_id TEXT, lowqty INT... | [
[
" CREATE TABLE authors ( au_id TEXT, au_lname TEXT NOT NULL, au_fname TEXT NOT NULL, phone TEXT NOT NULL, address TEXT, city TEXT, state TEXT, zip TEXT, contract TEXT NOT NULL, PRIMARY KEY (au_id) ) ",
" CREATE TABLE discounts ( discounttype TEXT NOT NULL, stor_id TEXT, lowqty INT... | 11 | 11 | "{\"publishers\": [\"city\", \"state\", \"country\", \"pub_id\", \"pub_name\"], \"authors\": [\"city\", \"state\", \"au_id\", \"au_fname\", \"contract\", \"au_lname\", \"zip\", \"address\", \"phone\"], \"stores\": [\"city\", \"state\", \"stor_id\", \"stor_name\", \"stor_address\", \"zip\"], \"discounts\": [\"highqty\",... | |
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 | book_publishing_company | 209 | ["stores", "titles", "roysched", "authors", "sales", "publishers", "titleauthor"] | [
[
" CREATE TABLE authors ( au_id TEXT, au_lname TEXT NOT NULL, au_fname TEXT NOT NULL, phone TEXT NOT NULL, address TEXT, city TEXT, state TEXT, zip TEXT, contract TEXT NOT NULL, PRIMARY KEY (au_id) ) ",
" CREATE TABLE discounts ( discounttype TEXT NOT NULL, stor_id TEXT, lowqty INT... | [
[
" CREATE TABLE authors ( au_id TEXT, au_lname TEXT NOT NULL, au_fname TEXT NOT NULL, phone TEXT NOT NULL, address TEXT, city TEXT, state TEXT, zip TEXT, contract TEXT NOT NULL, PRIMARY KEY (au_id) ) ",
" CREATE TABLE discounts ( discounttype TEXT NOT NULL, stor_id TEXT, lowqty INT... | 11 | 11 | "{\"titles\": [\"ytd_sales\", \"advance\", \"price\", \"royalty\", \"pub_id\", \"title_id\", \"title\", \"type\", \"notes\", \"pubdate\"], \"authors\": [\"city\", \"au_id\", \"au_lname\", \"au_fname\", \"state\", \"contract\", \"address\", \"phone\", \"zip\"], \"sales\": [\"stor_id\", \"ord_num\", \"qty\", \"title_id\"... | |
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' | book_publishing_company | 210 | ["stores", "titles", "employee", "jobs", "authors", "sales", "discounts", "publishers", "titleauthor"] | [
[
" CREATE TABLE authors ( au_id TEXT, au_lname TEXT NOT NULL, au_fname TEXT NOT NULL, phone TEXT NOT NULL, address TEXT, city TEXT, state TEXT, zip TEXT, contract TEXT NOT NULL, PRIMARY KEY (au_id) ) ",
" CREATE TABLE discounts ( discounttype TEXT NOT NULL, stor_id TEXT, lowqty INT... | [
[
" CREATE TABLE authors ( au_id TEXT, au_lname TEXT NOT NULL, au_fname TEXT NOT NULL, phone TEXT NOT NULL, address TEXT, city TEXT, state TEXT, zip TEXT, contract TEXT NOT NULL, PRIMARY KEY (au_id) ) ",
" CREATE TABLE discounts ( discounttype TEXT NOT NULL, stor_id TEXT, lowqty INT... | 11 | 11 | "{\"stores\": [\"city\", \"state\", \"stor_address\", \"stor_id\", \"stor_name\", \"zip\"], \"publishers\": [\"city\", \"state\", \"pub_id\", \"pub_name\", \"country\"], \"authors\": [\"city\", \"state\", \"address\", \"au_id\", \"au_fname\", \"phone\", \"zip\", \"au_lname\", \"contract\"], \"discounts\": [\"discount\"... | |
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' | book_publishing_company | 211 | ["stores", "titles", "roysched", "authors", "sales", "discounts", "publishers", "titleauthor"] | [
[
" CREATE TABLE authors ( au_id TEXT, au_lname TEXT NOT NULL, au_fname TEXT NOT NULL, phone TEXT NOT NULL, address TEXT, city TEXT, state TEXT, zip TEXT, contract TEXT NOT NULL, PRIMARY KEY (au_id) ) ",
" CREATE TABLE discounts ( discounttype TEXT NOT NULL, stor_id TEXT, lowqty INT... | [
[
" CREATE TABLE authors ( au_id TEXT, au_lname TEXT NOT NULL, au_fname TEXT NOT NULL, phone TEXT NOT NULL, address TEXT, city TEXT, state TEXT, zip TEXT, contract TEXT NOT NULL, PRIMARY KEY (au_id) ) ",
" CREATE TABLE discounts ( discounttype TEXT NOT NULL, stor_id TEXT, lowqty INT... | 11 | 11 | "{\"discounts\": [\"lowqty\", \"highqty\", \"discount\", \"discounttype\", \"stor_id\"], \"titles\": [\"price\", \"advance\", \"ytd_sales\", \"royalty\", \"type\", \"pub_id\", \"pubdate\"], \"authors\": [\"zip\", \"contract\", \"city\", \"au_id\", \"address\", \"phone\", \"au_fname\", \"state\", \"au_lname\"], \"roysch... | |
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 | book_publishing_company | 212 | ["stores", "titles", "employee", "jobs", "roysched", "authors", "sales", "discounts", "publishers", "titleauthor"] | [
[
" CREATE TABLE authors ( au_id TEXT, au_lname TEXT NOT NULL, au_fname TEXT NOT NULL, phone TEXT NOT NULL, address TEXT, city TEXT, state TEXT, zip TEXT, contract TEXT NOT NULL, PRIMARY KEY (au_id) ) ",
" CREATE TABLE discounts ( discounttype TEXT NOT NULL, stor_id TEXT, lowqty INT... | [
[
" CREATE TABLE authors ( au_id TEXT, au_lname TEXT NOT NULL, au_fname TEXT NOT NULL, phone TEXT NOT NULL, address TEXT, city TEXT, state TEXT, zip TEXT, contract TEXT NOT NULL, PRIMARY KEY (au_id) ) ",
" CREATE TABLE discounts ( discounttype TEXT NOT NULL, stor_id TEXT, lowqty INT... | 11 | 11 | "{\"employee\": [\"job_lvl\", \"emp_id\", \"job_id\", \"fname\", \"lname\", \"pub_id\", \"hire_date\", \"minit\"], \"jobs\": [\"max_lvl\", \"min_lvl\", \"job_desc\", \"job_id\"], \"discounts\": [\"highqty\"], \"titles\": [\"title\", \"price\", \"title_id\", \"advance\", \"pub_id\", \"type\", \"pubdate\", \"royalty\", \... | |
Which one is the cheapest business book? | SELECT title FROM titles WHERE type = 'business' ORDER BY price LIMIT 1 | book_publishing_company | 213 | ["stores", "titles", "roysched", "authors", "sales", "discounts", "publishers", "titleauthor"] | [
[
" CREATE TABLE authors ( au_id TEXT, au_lname TEXT NOT NULL, au_fname TEXT NOT NULL, phone TEXT NOT NULL, address TEXT, city TEXT, state TEXT, zip TEXT, contract TEXT NOT NULL, PRIMARY KEY (au_id) ) ",
" CREATE TABLE discounts ( discounttype TEXT NOT NULL, stor_id TEXT, lowqty INT... | [
[
" CREATE TABLE authors ( au_id TEXT, au_lname TEXT NOT NULL, au_fname TEXT NOT NULL, phone TEXT NOT NULL, address TEXT, city TEXT, state TEXT, zip TEXT, contract TEXT NOT NULL, PRIMARY KEY (au_id) ) ",
" CREATE TABLE discounts ( discounttype TEXT NOT NULL, stor_id TEXT, lowqty INT... | 11 | 11 | "{\"discounts\": [\"lowqty\", \"stor_id\", \"discount\", \"discounttype\", \"highqty\"], \"publishers\": [\"state\", \"city\", \"pub_id\", \"country\", \"pub_name\"], \"stores\": [\"city\", \"state\", \"stor_id\", \"stor_address\", \"stor_name\", \"zip\"], \"authors\": [\"city\", \"zip\", \"state\", \"phone\", \"addres... | |
Which type of book had the most pre-paid amount? | SELECT type FROM titles ORDER BY advance DESC LIMIT 1 | book_publishing_company | 214 | ["stores", "titles", "employee", "jobs", "roysched", "authors", "sales", "discounts", "publishers", "titleauthor"] | [
[
" CREATE TABLE authors ( au_id TEXT, au_lname TEXT NOT NULL, au_fname TEXT NOT NULL, phone TEXT NOT NULL, address TEXT, city TEXT, state TEXT, zip TEXT, contract TEXT NOT NULL, PRIMARY KEY (au_id) ) ",
" CREATE TABLE discounts ( discounttype TEXT NOT NULL, stor_id TEXT, lowqty INT... | [
[
" CREATE TABLE authors ( au_id TEXT, au_lname TEXT NOT NULL, au_fname TEXT NOT NULL, phone TEXT NOT NULL, address TEXT, city TEXT, state TEXT, zip TEXT, contract TEXT NOT NULL, PRIMARY KEY (au_id) ) ",
" CREATE TABLE discounts ( discounttype TEXT NOT NULL, stor_id TEXT, lowqty INT... | 11 | 11 | "{\"sales\": [\"payterms\", \"qty\"], \"discounts\": [\"lowqty\", \"discount\", \"discounttype\", \"stor_id\", \"highqty\"], \"publishers\": [\"pub_id\", \"city\", \"pub_name\", \"state\", \"country\"], \"authors\": [\"contract\", \"city\", \"au_id\", \"au_fname\", \"au_lname\", \"zip\", \"state\"], \"roysched\": [\"lo... | |
What's the royalty for the bestseller book? | SELECT royalty FROM titles ORDER BY ytd_sales DESC LIMIT 1 | book_publishing_company | 215 | ["stores", "titles", "roysched", "authors", "sales", "publishers", "titleauthor"] | [
[
" CREATE TABLE authors ( au_id TEXT, au_lname TEXT NOT NULL, au_fname TEXT NOT NULL, phone TEXT NOT NULL, address TEXT, city TEXT, state TEXT, zip TEXT, contract TEXT NOT NULL, PRIMARY KEY (au_id) ) ",
" CREATE TABLE discounts ( discounttype TEXT NOT NULL, stor_id TEXT, lowqty INT... | [
[
" CREATE TABLE authors ( au_id TEXT, au_lname TEXT NOT NULL, au_fname TEXT NOT NULL, phone TEXT NOT NULL, address TEXT, city TEXT, state TEXT, zip TEXT, contract TEXT NOT NULL, PRIMARY KEY (au_id) ) ",
" CREATE TABLE discounts ( discounttype TEXT NOT NULL, stor_id TEXT, lowqty INT... | 11 | 11 | "{\"roysched\": [\"royalty\", \"lorange\", \"hirange\", \"title_id\"], \"titles\": [\"royalty\", \"ytd_sales\", \"price\", \"type\", \"title_id\", \"title\", \"advance\", \"pub_id\", \"pubdate\"], \"titleauthor\": [\"royaltyper\", \"au_id\", \"au_ord\", \"title_id\"], \"sales\": [\"title_id\", \"qty\", \"stor_id\", \"p... | |
Which job level is O'Rourke at? | SELECT job_lvl FROM employee WHERE lname = 'O''Rourke' | book_publishing_company | 216 | ["stores", "titles", "employee", "jobs", "roysched", "authors", "sales", "publishers", "titleauthor"] | [
[
" CREATE TABLE authors ( au_id TEXT, au_lname TEXT NOT NULL, au_fname TEXT NOT NULL, phone TEXT NOT NULL, address TEXT, city TEXT, state TEXT, zip TEXT, contract TEXT NOT NULL, PRIMARY KEY (au_id) ) ",
" CREATE TABLE discounts ( discounttype TEXT NOT NULL, stor_id TEXT, lowqty INT... | [
[
" CREATE TABLE authors ( au_id TEXT, au_lname TEXT NOT NULL, au_fname TEXT NOT NULL, phone TEXT NOT NULL, address TEXT, city TEXT, state TEXT, zip TEXT, contract TEXT NOT NULL, PRIMARY KEY (au_id) ) ",
" CREATE TABLE discounts ( discounttype TEXT NOT NULL, stor_id TEXT, lowqty INT... | 11 | 11 | "{\"jobs\": [\"job_desc\", \"job_id\", \"max_lvl\", \"min_lvl\"], \"employee\": [\"job_lvl\", \"job_id\", \"hire_date\", \"pub_id\", \"minit\", \"fname\", \"emp_id\", \"lname\"], \"authors\": [\"city\", \"au_id\", \"au_lname\", \"au_fname\", \"state\", \"contract\", \"zip\", \"address\"], \"titleauthor\": [\"au_ord\", ... | |
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 | book_publishing_company | 217 | ["stores", "titles", "employee", "jobs", "roysched", "authors", "sales", "discounts", "publishers", "titleauthor"] | [
[
" CREATE TABLE authors ( au_id TEXT, au_lname TEXT NOT NULL, au_fname TEXT NOT NULL, phone TEXT NOT NULL, address TEXT, city TEXT, state TEXT, zip TEXT, contract TEXT NOT NULL, PRIMARY KEY (au_id) ) ",
" CREATE TABLE discounts ( discounttype TEXT NOT NULL, stor_id TEXT, lowqty INT... | [
[
" CREATE TABLE authors ( au_id TEXT, au_lname TEXT NOT NULL, au_fname TEXT NOT NULL, phone TEXT NOT NULL, address TEXT, city TEXT, state TEXT, zip TEXT, contract TEXT NOT NULL, PRIMARY KEY (au_id) ) ",
" CREATE TABLE discounts ( discounttype TEXT NOT NULL, stor_id TEXT, lowqty INT... | 11 | 11 | "{\"employee\": [\"job_lvl\", \"hire_date\", \"job_id\", \"lname\", \"fname\", \"minit\", \"emp_id\", \"pub_id\"], \"jobs\": [\"max_lvl\", \"min_lvl\", \"job_desc\", \"job_id\"], \"discounts\": [\"highqty\", \"lowqty\", \"discount\", \"discounttype\"], \"roysched\": [\"lorange\", \"royalty\", \"hirange\", \"title_id\"]... | |
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?' | book_publishing_company | 218 | ["stores", "titles", "employee", "jobs", "roysched", "authors", "sales", "discounts", "publishers", "titleauthor"] | [
[
" CREATE TABLE authors ( au_id TEXT, au_lname TEXT NOT NULL, au_fname TEXT NOT NULL, phone TEXT NOT NULL, address TEXT, city TEXT, state TEXT, zip TEXT, contract TEXT NOT NULL, PRIMARY KEY (au_id) ) ",
" CREATE TABLE discounts ( discounttype TEXT NOT NULL, stor_id TEXT, lowqty INT... | [
[
" CREATE TABLE authors ( au_id TEXT, au_lname TEXT NOT NULL, au_fname TEXT NOT NULL, phone TEXT NOT NULL, address TEXT, city TEXT, state TEXT, zip TEXT, contract TEXT NOT NULL, PRIMARY KEY (au_id) ) ",
" CREATE TABLE discounts ( discounttype TEXT NOT NULL, stor_id TEXT, lowqty INT... | 11 | 11 | "{\"authors\": [\"contract\", \"au_id\", \"city\", \"au_fname\", \"au_lname\", \"phone\", \"state\", \"zip\", \"address\"], \"titleauthor\": [\"au_ord\", \"au_id\", \"title_id\", \"royaltyper\"], \"discounts\": [\"lowqty\", \"highqty\", \"discounttype\", \"discount\", \"stor_id\"], \"titles\": [\"pubdate\", \"price\", ... | |
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 | book_publishing_company | 219 | ["stores", "titles", "employee", "jobs", "roysched", "authors", "sales", "discounts", "publishers", "titleauthor"] | [
[
" CREATE TABLE authors ( au_id TEXT, au_lname TEXT NOT NULL, au_fname TEXT NOT NULL, phone TEXT NOT NULL, address TEXT, city TEXT, state TEXT, zip TEXT, contract TEXT NOT NULL, PRIMARY KEY (au_id) ) ",
" CREATE TABLE discounts ( discounttype TEXT NOT NULL, stor_id TEXT, lowqty INT... | [
[
" CREATE TABLE authors ( au_id TEXT, au_lname TEXT NOT NULL, au_fname TEXT NOT NULL, phone TEXT NOT NULL, address TEXT, city TEXT, state TEXT, zip TEXT, contract TEXT NOT NULL, PRIMARY KEY (au_id) ) ",
" CREATE TABLE discounts ( discounttype TEXT NOT NULL, stor_id TEXT, lowqty INT... | 11 | 11 | "{\"jobs\": [\"max_lvl\", \"job_desc\", \"job_id\", \"min_lvl\"], \"employee\": [\"job_lvl\", \"job_id\", \"hire_date\", \"fname\", \"lname\", \"minit\", \"pub_id\", \"emp_id\"], \"discounts\": [\"highqty\", \"discount\", \"discounttype\"], \"publishers\": [\"city\", \"state\", \"pub_name\", \"pub_id\", \"country\"], \... | |
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' | book_publishing_company | 220 | ["titles", "employee", "jobs", "roysched", "authors", "publishers", "titleauthor"] | [
[
" CREATE TABLE authors ( au_id TEXT, au_lname TEXT NOT NULL, au_fname TEXT NOT NULL, phone TEXT NOT NULL, address TEXT, city TEXT, state TEXT, zip TEXT, contract TEXT NOT NULL, PRIMARY KEY (au_id) ) ",
" CREATE TABLE discounts ( discounttype TEXT NOT NULL, stor_id TEXT, lowqty INT... | [
[
" CREATE TABLE authors ( au_id TEXT, au_lname TEXT NOT NULL, au_fname TEXT NOT NULL, phone TEXT NOT NULL, address TEXT, city TEXT, state TEXT, zip TEXT, contract TEXT NOT NULL, PRIMARY KEY (au_id) ) ",
" CREATE TABLE discounts ( discounttype TEXT NOT NULL, stor_id TEXT, lowqty INT... | 11 | 11 | "{\"titleauthor\": [\"au_id\", \"au_ord\", \"title_id\", \"royaltyper\"], \"jobs\": [\"job_desc\", \"job_id\", \"max_lvl\", \"min_lvl\"], \"titles\": [\"type\", \"title\", \"pubdate\", \"title_id\", \"pub_id\", \"advance\", \"notes\", \"ytd_sales\", \"price\", \"royalty\"], \"employee\": [\"job_lvl\", \"job_id\", \"hir... | |
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' | book_publishing_company | 221 | ["stores", "titles", "employee", "jobs", "roysched", "authors", "sales", "publishers", "titleauthor"] | [
[
" CREATE TABLE authors ( au_id TEXT, au_lname TEXT NOT NULL, au_fname TEXT NOT NULL, phone TEXT NOT NULL, address TEXT, city TEXT, state TEXT, zip TEXT, contract TEXT NOT NULL, PRIMARY KEY (au_id) ) ",
" CREATE TABLE discounts ( discounttype TEXT NOT NULL, stor_id TEXT, lowqty INT... | [
[
" CREATE TABLE authors ( au_id TEXT, au_lname TEXT NOT NULL, au_fname TEXT NOT NULL, phone TEXT NOT NULL, address TEXT, city TEXT, state TEXT, zip TEXT, contract TEXT NOT NULL, PRIMARY KEY (au_id) ) ",
" CREATE TABLE discounts ( discounttype TEXT NOT NULL, stor_id TEXT, lowqty INT... | 11 | 11 | "{\"jobs\": [\"max_lvl\", \"min_lvl\", \"job_desc\", \"job_id\"], \"employee\": [\"job_lvl\", \"minit\", \"hire_date\", \"job_id\", \"emp_id\", \"pub_id\", \"lname\"], \"authors\": [\"city\", \"contract\", \"au_id\", \"au_lname\", \"state\", \"zip\", \"au_fname\", \"phone\", \"address\"], \"roysched\": [\"lorange\", \"... | |
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' | book_publishing_company | 222 | ["stores", "titles", "employee", "sales", "pub_info", "publishers", "titleauthor"] | [
[
" CREATE TABLE authors ( au_id TEXT, au_lname TEXT NOT NULL, au_fname TEXT NOT NULL, phone TEXT NOT NULL, address TEXT, city TEXT, state TEXT, zip TEXT, contract TEXT NOT NULL, PRIMARY KEY (au_id) ) ",
" CREATE TABLE discounts ( discounttype TEXT NOT NULL, stor_id TEXT, lowqty INT... | [
[
" CREATE TABLE authors ( au_id TEXT, au_lname TEXT NOT NULL, au_fname TEXT NOT NULL, phone TEXT NOT NULL, address TEXT, city TEXT, state TEXT, zip TEXT, contract TEXT NOT NULL, PRIMARY KEY (au_id) ) ",
" CREATE TABLE discounts ( discounttype TEXT NOT NULL, stor_id TEXT, lowqty INT... | 11 | 11 | "{\"titles\": [\"notes\", \"pubdate\", \"ytd_sales\", \"title\", \"pub_id\", \"type\", \"advance\"], \"employee\": [\"hire_date\", \"emp_id\", \"job_lvl\", \"pub_id\", \"job_id\"], \"sales\": [\"ord_date\", \"payterms\", \"ord_num\"], \"titleauthor\": [\"au_ord\", \"au_id\", \"title_id\", \"royaltyper\"], \"publishers\... | |
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' | book_publishing_company | 223 | ["stores", "titles", "sales", "publishers", "discounts"] | [
[
" CREATE TABLE authors ( au_id TEXT, au_lname TEXT NOT NULL, au_fname TEXT NOT NULL, phone TEXT NOT NULL, address TEXT, city TEXT, state TEXT, zip TEXT, contract TEXT NOT NULL, PRIMARY KEY (au_id) ) ",
" CREATE TABLE discounts ( discounttype TEXT NOT NULL, stor_id TEXT, lowqty INT... | [
[
" CREATE TABLE authors ( au_id TEXT, au_lname TEXT NOT NULL, au_fname TEXT NOT NULL, phone TEXT NOT NULL, address TEXT, city TEXT, state TEXT, zip TEXT, contract TEXT NOT NULL, PRIMARY KEY (au_id) ) ",
" CREATE TABLE discounts ( discounttype TEXT NOT NULL, stor_id TEXT, lowqty INT... | 11 | 11 | "{\"titles\": [\"ytd_sales\", \"type\", \"price\", \"pubdate\", \"pub_id\", \"advance\", \"royalty\", \"notes\", \"title_id\", \"title\"], \"sales\": [\"ord_date\", \"payterms\", \"qty\", \"ord_num\", \"stor_id\", \"title_id\"], \"discounts\": [\"discounttype\", \"discount\", \"lowqty\", \"stor_id\", \"highqty\"], \"pu... | |
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' | book_publishing_company | 224 | ["titles", "roysched", "authors", "pub_info", "publishers", "titleauthor"] | [
[
" CREATE TABLE authors ( au_id TEXT, au_lname TEXT NOT NULL, au_fname TEXT NOT NULL, phone TEXT NOT NULL, address TEXT, city TEXT, state TEXT, zip TEXT, contract TEXT NOT NULL, PRIMARY KEY (au_id) ) ",
" CREATE TABLE discounts ( discounttype TEXT NOT NULL, stor_id TEXT, lowqty INT... | [
[
" CREATE TABLE authors ( au_id TEXT, au_lname TEXT NOT NULL, au_fname TEXT NOT NULL, phone TEXT NOT NULL, address TEXT, city TEXT, state TEXT, zip TEXT, contract TEXT NOT NULL, PRIMARY KEY (au_id) ) ",
" CREATE TABLE discounts ( discounttype TEXT NOT NULL, stor_id TEXT, lowqty INT... | 11 | 11 | "{\"publishers\": [\"city\", \"country\", \"state\", \"pub_id\", \"pub_name\"], \"pub_info\": [\"pr_info\", \"pub_id\", \"logo\"], \"authors\": [\"city\", \"au_id\", \"au_fname\", \"au_lname\", \"phone\", \"contract\", \"address\", \"state\", \"zip\"], \"roysched\": [\"royalty\", \"lorange\", \"hirange\", \"title_id\"]... | |
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' | book_publishing_company | 225 | ["stores", "titles", "roysched", "authors", "sales", "pub_info", "publishers", "titleauthor"] | [
[
" CREATE TABLE authors ( au_id TEXT, au_lname TEXT NOT NULL, au_fname TEXT NOT NULL, phone TEXT NOT NULL, address TEXT, city TEXT, state TEXT, zip TEXT, contract TEXT NOT NULL, PRIMARY KEY (au_id) ) ",
" CREATE TABLE discounts ( discounttype TEXT NOT NULL, stor_id TEXT, lowqty INT... | [
[
" CREATE TABLE authors ( au_id TEXT, au_lname TEXT NOT NULL, au_fname TEXT NOT NULL, phone TEXT NOT NULL, address TEXT, city TEXT, state TEXT, zip TEXT, contract TEXT NOT NULL, PRIMARY KEY (au_id) ) ",
" CREATE TABLE discounts ( discounttype TEXT NOT NULL, stor_id TEXT, lowqty INT... | 11 | 11 | "{\"publishers\": [\"city\", \"state\", \"pub_name\", \"pub_id\", \"country\"], \"authors\": [\"city\", \"state\", \"contract\", \"au_fname\", \"address\", \"au_id\", \"au_lname\", \"phone\", \"zip\"], \"stores\": [\"city\", \"stor_name\", \"state\", \"stor_id\"], \"titleauthor\": [\"au_ord\", \"au_id\", \"royaltyper\"... | |
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' | book_publishing_company | 226 | ["stores", "titles", "employee", "jobs", "roysched", "authors", "sales", "publishers", "titleauthor"] | [
[
" CREATE TABLE authors ( au_id TEXT, au_lname TEXT NOT NULL, au_fname TEXT NOT NULL, phone TEXT NOT NULL, address TEXT, city TEXT, state TEXT, zip TEXT, contract TEXT NOT NULL, PRIMARY KEY (au_id) ) ",
" CREATE TABLE discounts ( discounttype TEXT NOT NULL, stor_id TEXT, lowqty INT... | [
[
" CREATE TABLE authors ( au_id TEXT, au_lname TEXT NOT NULL, au_fname TEXT NOT NULL, phone TEXT NOT NULL, address TEXT, city TEXT, state TEXT, zip TEXT, contract TEXT NOT NULL, PRIMARY KEY (au_id) ) ",
" CREATE TABLE discounts ( discounttype TEXT NOT NULL, stor_id TEXT, lowqty INT... | 11 | 11 | "{\"stores\": [\"city\", \"stor_address\", \"state\", \"zip\", \"stor_name\", \"stor_id\"], \"authors\": [\"city\", \"au_id\", \"state\", \"au_fname\", \"address\", \"au_lname\", \"contract\", \"zip\"], \"publishers\": [\"city\", \"state\", \"country\", \"pub_id\", \"pub_name\"], \"jobs\": [\"job_desc\", \"job_id\", \"... | |
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' | book_publishing_company | 227 | ["stores", "titles", "employee", "jobs", "roysched", "sales", "publishers", "discounts"] | [
[
" CREATE TABLE authors ( au_id TEXT, au_lname TEXT NOT NULL, au_fname TEXT NOT NULL, phone TEXT NOT NULL, address TEXT, city TEXT, state TEXT, zip TEXT, contract TEXT NOT NULL, PRIMARY KEY (au_id) ) ",
" CREATE TABLE discounts ( discounttype TEXT NOT NULL, stor_id TEXT, lowqty INT... | [
[
" CREATE TABLE authors ( au_id TEXT, au_lname TEXT NOT NULL, au_fname TEXT NOT NULL, phone TEXT NOT NULL, address TEXT, city TEXT, state TEXT, zip TEXT, contract TEXT NOT NULL, PRIMARY KEY (au_id) ) ",
" CREATE TABLE discounts ( discounttype TEXT NOT NULL, stor_id TEXT, lowqty INT... | 11 | 11 | "{\"stores\": [\"city\", \"state\", \"stor_id\", \"stor_name\", \"stor_address\", \"zip\"], \"titles\": [\"ytd_sales\", \"price\", \"royalty\", \"title\", \"title_id\", \"advance\", \"type\", \"notes\", \"pub_id\"], \"sales\": [\"ord_num\", \"qty\", \"stor_id\", \"title_id\", \"payterms\", \"ord_date\"], \"discounts\":... | |
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' | book_publishing_company | 228 | ["stores", "titles", "roysched", "sales", "publishers", "discounts"] | [
[
" CREATE TABLE authors ( au_id TEXT, au_lname TEXT NOT NULL, au_fname TEXT NOT NULL, phone TEXT NOT NULL, address TEXT, city TEXT, state TEXT, zip TEXT, contract TEXT NOT NULL, PRIMARY KEY (au_id) ) ",
" CREATE TABLE discounts ( discounttype TEXT NOT NULL, stor_id TEXT, lowqty INT... | [
[
" CREATE TABLE authors ( au_id TEXT, au_lname TEXT NOT NULL, au_fname TEXT NOT NULL, phone TEXT NOT NULL, address TEXT, city TEXT, state TEXT, zip TEXT, contract TEXT NOT NULL, PRIMARY KEY (au_id) ) ",
" CREATE TABLE discounts ( discounttype TEXT NOT NULL, stor_id TEXT, lowqty INT... | 11 | 11 | "{\"stores\": [\"city\", \"state\", \"zip\", \"stor_id\", \"stor_name\", \"stor_address\"], \"titles\": [\"ytd_sales\", \"price\", \"royalty\", \"title\", \"pub_id\", \"advance\"], \"sales\": [\"ord_num\", \"qty\", \"stor_id\", \"ord_date\", \"title_id\", \"payterms\"], \"publishers\": [\"city\", \"state\", \"pub_id\",... | |
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 | book_publishing_company | 229 | ["stores", "titles", "employee", "jobs", "authors", "sales", "publishers", "titleauthor"] | [
[
" CREATE TABLE authors ( au_id TEXT, au_lname TEXT NOT NULL, au_fname TEXT NOT NULL, phone TEXT NOT NULL, address TEXT, city TEXT, state TEXT, zip TEXT, contract TEXT NOT NULL, PRIMARY KEY (au_id) ) ",
" CREATE TABLE discounts ( discounttype TEXT NOT NULL, stor_id TEXT, lowqty INT... | [
[
" CREATE TABLE authors ( au_id TEXT, au_lname TEXT NOT NULL, au_fname TEXT NOT NULL, phone TEXT NOT NULL, address TEXT, city TEXT, state TEXT, zip TEXT, contract TEXT NOT NULL, PRIMARY KEY (au_id) ) ",
" CREATE TABLE discounts ( discounttype TEXT NOT NULL, stor_id TEXT, lowqty INT... | 11 | 11 | "{\"employee\": [\"job_lvl\", \"job_id\", \"hire_date\", \"minit\", \"fname\", \"lname\", \"emp_id\", \"pub_id\"], \"publishers\": [\"city\", \"state\", \"country\", \"pub_id\", \"pub_name\"], \"jobs\": [\"max_lvl\", \"min_lvl\", \"job_desc\", \"job_id\"], \"authors\": [\"city\", \"au_id\", \"au_lname\", \"au_fname\", ... | |
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 | book_publishing_company | 230 | ["titles", "employee", "roysched", "sales", "publishers", "jobs"] | [
[
" CREATE TABLE authors ( au_id TEXT, au_lname TEXT NOT NULL, au_fname TEXT NOT NULL, phone TEXT NOT NULL, address TEXT, city TEXT, state TEXT, zip TEXT, contract TEXT NOT NULL, PRIMARY KEY (au_id) ) ",
" CREATE TABLE discounts ( discounttype TEXT NOT NULL, stor_id TEXT, lowqty INT... | [
[
" CREATE TABLE authors ( au_id TEXT, au_lname TEXT NOT NULL, au_fname TEXT NOT NULL, phone TEXT NOT NULL, address TEXT, city TEXT, state TEXT, zip TEXT, contract TEXT NOT NULL, PRIMARY KEY (au_id) ) ",
" CREATE TABLE discounts ( discounttype TEXT NOT NULL, stor_id TEXT, lowqty INT... | 11 | 11 | "{\"employee\": [\"hire_date\", \"job_lvl\", \"job_id\", \"minit\", \"fname\", \"lname\", \"emp_id\", \"pub_id\"], \"jobs\": [\"job_desc\", \"job_id\", \"min_lvl\", \"max_lvl\"], \"sales\": [\"ord_date\", \"title_id\", \"qty\", \"payterms\", \"ord_num\"], \"titles\": [\"ytd_sales\", \"pubdate\", \"title_id\", \"type\",... | |
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 ) | book_publishing_company | 231 | ["stores", "titles", "roysched", "authors", "sales", "discounts", "publishers", "titleauthor"] | [
[
" CREATE TABLE authors ( au_id TEXT, au_lname TEXT NOT NULL, au_fname TEXT NOT NULL, phone TEXT NOT NULL, address TEXT, city TEXT, state TEXT, zip TEXT, contract TEXT NOT NULL, PRIMARY KEY (au_id) ) ",
" CREATE TABLE discounts ( discounttype TEXT NOT NULL, stor_id TEXT, lowqty INT... | [
[
" CREATE TABLE authors ( au_id TEXT, au_lname TEXT NOT NULL, au_fname TEXT NOT NULL, phone TEXT NOT NULL, address TEXT, city TEXT, state TEXT, zip TEXT, contract TEXT NOT NULL, PRIMARY KEY (au_id) ) ",
" CREATE TABLE discounts ( discounttype TEXT NOT NULL, stor_id TEXT, lowqty INT... | 11 | 11 | "{\"titles\": [\"royalty\", \"price\", \"type\", \"advance\", \"title_id\", \"title\", \"ytd_sales\", \"pub_id\", \"pubdate\", \"notes\"], \"titleauthor\": [\"royaltyper\", \"title_id\", \"au_id\", \"au_ord\"], \"roysched\": [\"royalty\", \"title_id\", \"hirange\", \"lorange\"], \"sales\": [\"title_id\", \"payterms\", ... | |
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 ) | book_publishing_company | 232 | ["stores", "titles", "roysched", "sales", "discounts", "publishers", "titleauthor"] | [
[
" CREATE TABLE authors ( au_id TEXT, au_lname TEXT NOT NULL, au_fname TEXT NOT NULL, phone TEXT NOT NULL, address TEXT, city TEXT, state TEXT, zip TEXT, contract TEXT NOT NULL, PRIMARY KEY (au_id) ) ",
" CREATE TABLE discounts ( discounttype TEXT NOT NULL, stor_id TEXT, lowqty INT... | [
[
" CREATE TABLE authors ( au_id TEXT, au_lname TEXT NOT NULL, au_fname TEXT NOT NULL, phone TEXT NOT NULL, address TEXT, city TEXT, state TEXT, zip TEXT, contract TEXT NOT NULL, PRIMARY KEY (au_id) ) ",
" CREATE TABLE discounts ( discounttype TEXT NOT NULL, stor_id TEXT, lowqty INT... | 11 | 11 | "{\"titles\": [\"price\", \"ytd_sales\", \"type\", \"title_id\", \"title\", \"pub_id\", \"pubdate\", \"advance\", \"royalty\", \"notes\"], \"discounts\": [\"lowqty\", \"highqty\", \"discounttype\", \"discount\", \"stor_id\"], \"titleauthor\": [\"title_id\", \"royaltyper\", \"au_ord\", \"au_id\"], \"sales\": [\"title_id... | |
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 | book_publishing_company | 233 | ["titles", "roysched", "authors", "sales", "publishers", "titleauthor"] | [
[
" CREATE TABLE authors ( au_id TEXT, au_lname TEXT NOT NULL, au_fname TEXT NOT NULL, phone TEXT NOT NULL, address TEXT, city TEXT, state TEXT, zip TEXT, contract TEXT NOT NULL, PRIMARY KEY (au_id) ) ",
" CREATE TABLE discounts ( discounttype TEXT NOT NULL, stor_id TEXT, lowqty INT... | [
[
" CREATE TABLE authors ( au_id TEXT, au_lname TEXT NOT NULL, au_fname TEXT NOT NULL, phone TEXT NOT NULL, address TEXT, city TEXT, state TEXT, zip TEXT, contract TEXT NOT NULL, PRIMARY KEY (au_id) ) ",
" CREATE TABLE discounts ( discounttype TEXT NOT NULL, stor_id TEXT, lowqty INT... | 11 | 11 | "{\"titles\": [\"price\", \"type\", \"royalty\", \"pub_id\", \"ytd_sales\", \"pubdate\", \"title\", \"title_id\", \"advance\", \"notes\"], \"titleauthor\": [\"royaltyper\", \"title_id\", \"au_id\", \"au_ord\"], \"sales\": [\"title_id\", \"payterms\", \"qty\", \"ord_date\", \"ord_num\"], \"roysched\": [\"title_id\", \"r... | |
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 | book_publishing_company | 234 | ["stores", "titles", "roysched", "authors", "sales", "discounts", "publishers", "titleauthor"] | [
[
" CREATE TABLE authors ( au_id TEXT, au_lname TEXT NOT NULL, au_fname TEXT NOT NULL, phone TEXT NOT NULL, address TEXT, city TEXT, state TEXT, zip TEXT, contract TEXT NOT NULL, PRIMARY KEY (au_id) ) ",
" CREATE TABLE discounts ( discounttype TEXT NOT NULL, stor_id TEXT, lowqty INT... | [
[
" CREATE TABLE authors ( au_id TEXT, au_lname TEXT NOT NULL, au_fname TEXT NOT NULL, phone TEXT NOT NULL, address TEXT, city TEXT, state TEXT, zip TEXT, contract TEXT NOT NULL, PRIMARY KEY (au_id) ) ",
" CREATE TABLE discounts ( discounttype TEXT NOT NULL, stor_id TEXT, lowqty INT... | 11 | 11 | "{\"titles\": [\"royalty\", \"ytd_sales\", \"type\", \"title_id\", \"pub_id\", \"price\", \"title\", \"advance\", \"pubdate\"], \"roysched\": [\"royalty\", \"hirange\", \"lorange\", \"title_id\"], \"titleauthor\": [\"royaltyper\", \"au_id\", \"au_ord\", \"title_id\"], \"publishers\": [\"city\", \"state\", \"pub_id\", \... | |
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 O... | book_publishing_company | 235 | ["titles", "roysched", "authors", "sales", "publishers", "titleauthor"] | [
[
" CREATE TABLE authors ( au_id TEXT, au_lname TEXT NOT NULL, au_fname TEXT NOT NULL, phone TEXT NOT NULL, address TEXT, city TEXT, state TEXT, zip TEXT, contract TEXT NOT NULL, PRIMARY KEY (au_id) ) ",
" CREATE TABLE discounts ( discounttype TEXT NOT NULL, stor_id TEXT, lowqty INT... | [
[
" CREATE TABLE authors ( au_id TEXT, au_lname TEXT NOT NULL, au_fname TEXT NOT NULL, phone TEXT NOT NULL, address TEXT, city TEXT, state TEXT, zip TEXT, contract TEXT NOT NULL, PRIMARY KEY (au_id) ) ",
" CREATE TABLE discounts ( discounttype TEXT NOT NULL, stor_id TEXT, lowqty INT... | 11 | 11 | "{\"titles\": [\"royalty\", \"advance\", \"type\", \"title\", \"title_id\", \"ytd_sales\", \"price\", \"pub_id\", \"pubdate\", \"notes\"], \"titleauthor\": [\"royaltyper\", \"au_id\", \"au_ord\", \"title_id\"], \"roysched\": [\"royalty\", \"title_id\"], \"publishers\": [\"country\", \"state\", \"city\", \"pub_id\", \"p... | |
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... | book_publishing_company | 236 | ["titles", "employee", "jobs", "authors", "sales", "publishers", "titleauthor"] | [
[
" CREATE TABLE authors ( au_id TEXT, au_lname TEXT NOT NULL, au_fname TEXT NOT NULL, phone TEXT NOT NULL, address TEXT, city TEXT, state TEXT, zip TEXT, contract TEXT NOT NULL, PRIMARY KEY (au_id) ) ",
" CREATE TABLE discounts ( discounttype TEXT NOT NULL, stor_id TEXT, lowqty INT... | [
[
" CREATE TABLE authors ( au_id TEXT, au_lname TEXT NOT NULL, au_fname TEXT NOT NULL, phone TEXT NOT NULL, address TEXT, city TEXT, state TEXT, zip TEXT, contract TEXT NOT NULL, PRIMARY KEY (au_id) ) ",
" CREATE TABLE discounts ( discounttype TEXT NOT NULL, stor_id TEXT, lowqty INT... | 11 | 11 | "{\"publishers\": [\"country\", \"city\", \"state\", \"pub_id\", \"pub_name\"], \"employee\": [\"hire_date\", \"job_lvl\", \"emp_id\"], \"jobs\": [\"min_lvl\", \"max_lvl\", \"job_desc\", \"job_id\"], \"authors\": [\"au_id\", \"city\", \"au_lname\", \"state\", \"au_fname\", \"address\", \"contract\", \"phone\", \"zip\"]... | |
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.' | book_publishing_company | 237 | ["titles", "roysched", "sales", "pub_info", "publishers", "titleauthor"] | [
[
" CREATE TABLE authors ( au_id TEXT, au_lname TEXT NOT NULL, au_fname TEXT NOT NULL, phone TEXT NOT NULL, address TEXT, city TEXT, state TEXT, zip TEXT, contract TEXT NOT NULL, PRIMARY KEY (au_id) ) ",
" CREATE TABLE discounts ( discounttype TEXT NOT NULL, stor_id TEXT, lowqty INT... | [
[
" CREATE TABLE authors ( au_id TEXT, au_lname TEXT NOT NULL, au_fname TEXT NOT NULL, phone TEXT NOT NULL, address TEXT, city TEXT, state TEXT, zip TEXT, contract TEXT NOT NULL, PRIMARY KEY (au_id) ) ",
" CREATE TABLE discounts ( discounttype TEXT NOT NULL, stor_id TEXT, lowqty INT... | 11 | 11 | "{\"titles\": [\"price\", \"pub_id\", \"type\", \"title\", \"pubdate\", \"ytd_sales\", \"title_id\", \"advance\", \"royalty\", \"notes\"], \"titleauthor\": [\"au_id\", \"au_ord\", \"title_id\", \"royaltyper\"], \"roysched\": [\"title_id\", \"royalty\"], \"publishers\": [\"pub_id\", \"pub_name\", \"city\", \"state\", \"... | |
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.' | book_publishing_company | 238 | ["stores", "titles", "authors", "sales", "discounts", "publishers", "titleauthor"] | [
[
" CREATE TABLE authors ( au_id TEXT, au_lname TEXT NOT NULL, au_fname TEXT NOT NULL, phone TEXT NOT NULL, address TEXT, city TEXT, state TEXT, zip TEXT, contract TEXT NOT NULL, PRIMARY KEY (au_id) ) ",
" CREATE TABLE discounts ( discounttype TEXT NOT NULL, stor_id TEXT, lowqty INT... | [
[
" CREATE TABLE authors ( au_id TEXT, au_lname TEXT NOT NULL, au_fname TEXT NOT NULL, phone TEXT NOT NULL, address TEXT, city TEXT, state TEXT, zip TEXT, contract TEXT NOT NULL, PRIMARY KEY (au_id) ) ",
" CREATE TABLE discounts ( discounttype TEXT NOT NULL, stor_id TEXT, lowqty INT... | 11 | 11 | "{\"titles\": [\"pubdate\", \"ytd_sales\", \"type\", \"price\", \"advance\", \"title\", \"notes\", \"pub_id\", \"title_id\", \"royalty\"], \"titleauthor\": [\"au_id\", \"title_id\", \"au_ord\", \"royaltyper\"], \"sales\": [\"title_id\", \"ord_date\", \"stor_id\", \"qty\", \"payterms\", \"ord_num\"], \"authors\": [\"sta... | |
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 | book_publishing_company | 239 | ["stores", "titles", "sales", "discounts", "titleauthor"] | [
[
" CREATE TABLE authors ( au_id TEXT, au_lname TEXT NOT NULL, au_fname TEXT NOT NULL, phone TEXT NOT NULL, address TEXT, city TEXT, state TEXT, zip TEXT, contract TEXT NOT NULL, PRIMARY KEY (au_id) ) ",
" CREATE TABLE discounts ( discounttype TEXT NOT NULL, stor_id TEXT, lowqty INT... | [
[
" CREATE TABLE authors ( au_id TEXT, au_lname TEXT NOT NULL, au_fname TEXT NOT NULL, phone TEXT NOT NULL, address TEXT, city TEXT, state TEXT, zip TEXT, contract TEXT NOT NULL, PRIMARY KEY (au_id) ) ",
" CREATE TABLE discounts ( discounttype TEXT NOT NULL, stor_id TEXT, lowqty INT... | 11 | 11 | "{\"titles\": [\"ytd_sales\", \"price\", \"advance\", \"type\", \"royalty\", \"title\", \"title_id\", \"pub_id\", \"pubdate\", \"notes\"], \"sales\": [\"title_id\", \"qty\", \"ord_num\", \"stor_id\", \"ord_date\", \"payterms\"], \"stores\": [\"city\", \"stor_name\", \"state\", \"stor_id\", \"zip\", \"stor_address\"], \... | |
On which day was the most verbose complaint received? | SELECT `Date received` FROM callcenterlogs WHERE ser_time = ( SELECT MAX(ser_time) FROM callcenterlogs ) | retail_complains | 240 | ["client", "callcenterlogs", "state", "district", "reviews", "events"] | [
[
" CREATE TABLE callcenterlogs ( \"Date received\" DATE, \"Complaint ID\" TEXT, \"rand client\" TEXT, phonefinal TEXT, \"vru+line\" TEXT, call_id INTEGER, priority INTEGER, type TEXT, outcome TEXT, server TEXT, ser_start TEXT, ser_exit TEXT, ser_time TEXT, PRIMARY KEY (\"Complaint ID... | [
[
" CREATE TABLE callcenterlogs ( \"Date received\" DATE, \"Complaint ID\" TEXT, \"rand client\" TEXT, phonefinal TEXT, \"vru+line\" TEXT, call_id INTEGER, priority INTEGER, type TEXT, outcome TEXT, server TEXT, ser_start TEXT, ser_exit TEXT, ser_time TEXT, PRIMARY KEY (\"Complaint ID... | 6 | 6 | "{\"events\": [\"Date received\", \"Complaint ID\", \"Date sent to company\", \"Timely response?\", \"Consumer complaint narrative\", \"Consumer disputed?\", \"Issue\", \"Submitted via\", \"Sub-issue\", \"Company response to consumer\", \"Product\", \"Tags\", \"Consumer consent provided?\", \"Client_ID\", \"Sub-product... | |
When did the earliest complaint start on 2017/3/22? | SELECT MIN(ser_time) FROM callcenterlogs WHERE `Date received` = '2017-03-22' | retail_complains | 241 | ["client", "callcenterlogs", "state", "district", "events"] | [
[
" CREATE TABLE callcenterlogs ( \"Date received\" DATE, \"Complaint ID\" TEXT, \"rand client\" TEXT, phonefinal TEXT, \"vru+line\" TEXT, call_id INTEGER, priority INTEGER, type TEXT, outcome TEXT, server TEXT, ser_start TEXT, ser_exit TEXT, ser_time TEXT, PRIMARY KEY (\"Complaint ID... | [
[
" CREATE TABLE callcenterlogs ( \"Date received\" DATE, \"Complaint ID\" TEXT, \"rand client\" TEXT, phonefinal TEXT, \"vru+line\" TEXT, call_id INTEGER, priority INTEGER, type TEXT, outcome TEXT, server TEXT, ser_start TEXT, ser_exit TEXT, ser_time TEXT, PRIMARY KEY (\"Complaint ID... | 6 | 6 | "{\"callcenterlogs\": [\"ser_start\", \"Complaint ID\", \"Date received\", \"ser_time\", \"priority\", \"type\", \"server\", \"phonefinal\", \"vru+line\", \"call_id\", \"outcome\"], \"events\": [\"Complaint ID\", \"Consumer complaint narrative\", \"Consumer disputed?\", \"Timely response?\", \"Date received\", \"Compan... | |
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 | retail_complains | 242 | ["client", "callcenterlogs", "state", "district", "reviews", "events"] | [
[
" CREATE TABLE callcenterlogs ( \"Date received\" DATE, \"Complaint ID\" TEXT, \"rand client\" TEXT, phonefinal TEXT, \"vru+line\" TEXT, call_id INTEGER, priority INTEGER, type TEXT, outcome TEXT, server TEXT, ser_start TEXT, ser_exit TEXT, ser_time TEXT, PRIMARY KEY (\"Complaint ID... | [
[
" CREATE TABLE callcenterlogs ( \"Date received\" DATE, \"Complaint ID\" TEXT, \"rand client\" TEXT, phonefinal TEXT, \"vru+line\" TEXT, call_id INTEGER, priority INTEGER, type TEXT, outcome TEXT, server TEXT, ser_start TEXT, ser_exit TEXT, ser_time TEXT, PRIMARY KEY (\"Complaint ID... | 6 | 6 | "{\"events\": [\"Complaint ID\", \"Consumer complaint narrative\", \"Timely response?\", \"Issue\", \"Consumer disputed?\", \"Date sent to company\", \"Company response to consumer\", \"Sub-issue\", \"Consumer consent provided?\", \"Date received\", \"Client_ID\", \"Product\", \"Sub-product\"], \"callcenterlogs\": [\"C... | |
Please list the full names of all the male clients born after the year 1990. | SELECT first, middle, last FROM client WHERE year > 1990 | retail_complains | 243 | ["client", "callcenterlogs", "district", "reviews", "events"] | [
[
" CREATE TABLE callcenterlogs ( \"Date received\" DATE, \"Complaint ID\" TEXT, \"rand client\" TEXT, phonefinal TEXT, \"vru+line\" TEXT, call_id INTEGER, priority INTEGER, type TEXT, outcome TEXT, server TEXT, ser_start TEXT, ser_exit TEXT, ser_time TEXT, PRIMARY KEY (\"Complaint ID... | [
[
" CREATE TABLE callcenterlogs ( \"Date received\" DATE, \"Complaint ID\" TEXT, \"rand client\" TEXT, phonefinal TEXT, \"vru+line\" TEXT, call_id INTEGER, priority INTEGER, type TEXT, outcome TEXT, server TEXT, ser_start TEXT, ser_exit TEXT, ser_time TEXT, PRIMARY KEY (\"Complaint ID... | 6 | 6 | "{\"client\": [\"sex\", \"year\", \"social\", \"client_id\", \"age\", \"first\", \"last\", \"day\", \"middle\", \"state\", \"district_id\", \"address_2\", \"city\", \"address_1\", \"month\", \"zipcode\", \"email\", \"phone\"], \"events\": [\"Client_ID\", \"Consumer disputed?\", \"Consumer consent provided?\", \"Company... | |
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' | retail_complains | 244 | ["client", "callcenterlogs", "state", "district", "reviews", "events"] | [
[
" CREATE TABLE callcenterlogs ( \"Date received\" DATE, \"Complaint ID\" TEXT, \"rand client\" TEXT, phonefinal TEXT, \"vru+line\" TEXT, call_id INTEGER, priority INTEGER, type TEXT, outcome TEXT, server TEXT, ser_start TEXT, ser_exit TEXT, ser_time TEXT, PRIMARY KEY (\"Complaint ID... | [
[
" CREATE TABLE callcenterlogs ( \"Date received\" DATE, \"Complaint ID\" TEXT, \"rand client\" TEXT, phonefinal TEXT, \"vru+line\" TEXT, call_id INTEGER, priority INTEGER, type TEXT, outcome TEXT, server TEXT, ser_start TEXT, ser_exit TEXT, ser_time TEXT, PRIMARY KEY (\"Complaint ID... | 6 | 6 | "{\"client\": [\"city\", \"social\", \"client_id\", \"first\", \"zipcode\", \"district_id\", \"email\", \"address_1\", \"sex\", \"state\", \"last\", \"middle\", \"address_2\", \"year\", \"day\", \"month\", \"phone\", \"age\"], \"callcenterlogs\": [\"rand client\", \"Complaint ID\", \"server\", \"type\", \"ser_start\", ... | |
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' | retail_complains | 245 | ["client", "callcenterlogs", "state", "district", "reviews", "events"] | [
[
" CREATE TABLE callcenterlogs ( \"Date received\" DATE, \"Complaint ID\" TEXT, \"rand client\" TEXT, phonefinal TEXT, \"vru+line\" TEXT, call_id INTEGER, priority INTEGER, type TEXT, outcome TEXT, server TEXT, ser_start TEXT, ser_exit TEXT, ser_time TEXT, PRIMARY KEY (\"Complaint ID... | [
[
" CREATE TABLE callcenterlogs ( \"Date received\" DATE, \"Complaint ID\" TEXT, \"rand client\" TEXT, phonefinal TEXT, \"vru+line\" TEXT, call_id INTEGER, priority INTEGER, type TEXT, outcome TEXT, server TEXT, ser_start TEXT, ser_exit TEXT, ser_time TEXT, PRIMARY KEY (\"Complaint ID... | 6 | 6 | "{\"events\": [\"Product\", \"Sub-product\", \"Consumer disputed?\", \"Complaint ID\", \"Consumer complaint narrative\", \"Company response to consumer\", \"Consumer consent provided?\", \"Client_ID\", \"Timely response?\", \"Date received\", \"Submitted via\", \"Date sent to company\", \"Issue\", \"Tags\"], \"reviews\... | |
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' | retail_complains | 246 | ["client", "callcenterlogs", "state", "district", "reviews", "events"] | [
[
" CREATE TABLE callcenterlogs ( \"Date received\" DATE, \"Complaint ID\" TEXT, \"rand client\" TEXT, phonefinal TEXT, \"vru+line\" TEXT, call_id INTEGER, priority INTEGER, type TEXT, outcome TEXT, server TEXT, ser_start TEXT, ser_exit TEXT, ser_time TEXT, PRIMARY KEY (\"Complaint ID... | [
[
" CREATE TABLE callcenterlogs ( \"Date received\" DATE, \"Complaint ID\" TEXT, \"rand client\" TEXT, phonefinal TEXT, \"vru+line\" TEXT, call_id INTEGER, priority INTEGER, type TEXT, outcome TEXT, server TEXT, ser_start TEXT, ser_exit TEXT, ser_time TEXT, PRIMARY KEY (\"Complaint ID... | 6 | 6 | "{\"events\": [\"Tags\", \"Complaint ID\", \"Consumer disputed?\", \"Consumer complaint narrative\", \"Timely response?\", \"Consumer consent provided?\", \"Submitted via\", \"Company response to consumer\", \"Date sent to company\", \"Issue\", \"Sub-issue\", \"Date received\", \"Client_ID\", \"Product\", \"Sub-product... | |
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_... | retail_complains | 247 | ["client", "callcenterlogs", "state", "district", "reviews", "events"] | [
[
" CREATE TABLE callcenterlogs ( \"Date received\" DATE, \"Complaint ID\" TEXT, \"rand client\" TEXT, phonefinal TEXT, \"vru+line\" TEXT, call_id INTEGER, priority INTEGER, type TEXT, outcome TEXT, server TEXT, ser_start TEXT, ser_exit TEXT, ser_time TEXT, PRIMARY KEY (\"Complaint ID... | [
[
" CREATE TABLE callcenterlogs ( \"Date received\" DATE, \"Complaint ID\" TEXT, \"rand client\" TEXT, phonefinal TEXT, \"vru+line\" TEXT, call_id INTEGER, priority INTEGER, type TEXT, outcome TEXT, server TEXT, ser_start TEXT, ser_exit TEXT, ser_time TEXT, PRIMARY KEY (\"Complaint ID... | 6 | 6 | "{\"events\": [\"Complaint ID\", \"Timely response?\", \"Consumer complaint narrative\", \"Consumer disputed?\", \"Date sent to company\", \"Date received\", \"Company response to consumer\", \"Issue\", \"Submitted via\", \"Sub-issue\", \"Product\", \"Client_ID\", \"Consumer consent provided?\", \"Tags\", \"Sub-product... | |
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' | retail_complains | 248 | ["client", "callcenterlogs", "district", "reviews", "events"] | [
[
" CREATE TABLE callcenterlogs ( \"Date received\" DATE, \"Complaint ID\" TEXT, \"rand client\" TEXT, phonefinal TEXT, \"vru+line\" TEXT, call_id INTEGER, priority INTEGER, type TEXT, outcome TEXT, server TEXT, ser_start TEXT, ser_exit TEXT, ser_time TEXT, PRIMARY KEY (\"Complaint ID... | [
[
" CREATE TABLE callcenterlogs ( \"Date received\" DATE, \"Complaint ID\" TEXT, \"rand client\" TEXT, phonefinal TEXT, \"vru+line\" TEXT, call_id INTEGER, priority INTEGER, type TEXT, outcome TEXT, server TEXT, ser_start TEXT, ser_exit TEXT, ser_time TEXT, PRIMARY KEY (\"Complaint ID... | 6 | 6 | "{\"callcenterlogs\": [\"rand client\", \"Date received\", \"Complaint ID\", \"server\", \"priority\", \"type\", \"phonefinal\", \"ser_time\", \"ser_start\", \"vru+line\", \"outcome\", \"ser_exit\"], \"client\": [\"city\", \"client_id\", \"day\", \"first\", \"middle\", \"social\", \"email\", \"state\", \"phone\", \"las... | |
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' | retail_complains | 249 | ["client", "callcenterlogs", "state", "district", "reviews", "events"] | [
[
" CREATE TABLE callcenterlogs ( \"Date received\" DATE, \"Complaint ID\" TEXT, \"rand client\" TEXT, phonefinal TEXT, \"vru+line\" TEXT, call_id INTEGER, priority INTEGER, type TEXT, outcome TEXT, server TEXT, ser_start TEXT, ser_exit TEXT, ser_time TEXT, PRIMARY KEY (\"Complaint ID... | [
[
" CREATE TABLE callcenterlogs ( \"Date received\" DATE, \"Complaint ID\" TEXT, \"rand client\" TEXT, phonefinal TEXT, \"vru+line\" TEXT, call_id INTEGER, priority INTEGER, type TEXT, outcome TEXT, server TEXT, ser_start TEXT, ser_exit TEXT, ser_time TEXT, PRIMARY KEY (\"Complaint ID... | 6 | 6 | "{\"events\": [\"Complaint ID\", \"Consumer complaint narrative\", \"Consumer disputed?\", \"Timely response?\", \"Company response to consumer\", \"Date received\", \"Date sent to company\", \"Consumer consent provided?\", \"Submitted via\", \"Issue\", \"Tags\", \"Sub-issue\", \"Product\", \"Client_ID\", \"Sub-product... | |
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' | retail_complains | 250 | ["client", "callcenterlogs", "state", "district", "reviews", "events"] | [
[
" CREATE TABLE callcenterlogs ( \"Date received\" DATE, \"Complaint ID\" TEXT, \"rand client\" TEXT, phonefinal TEXT, \"vru+line\" TEXT, call_id INTEGER, priority INTEGER, type TEXT, outcome TEXT, server TEXT, ser_start TEXT, ser_exit TEXT, ser_time TEXT, PRIMARY KEY (\"Complaint ID... | [
[
" CREATE TABLE callcenterlogs ( \"Date received\" DATE, \"Complaint ID\" TEXT, \"rand client\" TEXT, phonefinal TEXT, \"vru+line\" TEXT, call_id INTEGER, priority INTEGER, type TEXT, outcome TEXT, server TEXT, ser_start TEXT, ser_exit TEXT, ser_time TEXT, PRIMARY KEY (\"Complaint ID... | 6 | 6 | "{\"client\": [\"city\", \"client_id\", \"day\", \"social\", \"district_id\", \"year\", \"first\", \"address_1\", \"state\", \"last\", \"sex\", \"middle\", \"address_2\", \"phone\", \"zipcode\", \"month\", \"age\", \"email\"], \"events\": [\"Issue\", \"Client_ID\", \"Sub-issue\", \"Complaint ID\", \"Consumer complaint ... | |
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' | retail_complains | 251 | ["client", "callcenterlogs", "district", "reviews", "events"] | [
[
" CREATE TABLE callcenterlogs ( \"Date received\" DATE, \"Complaint ID\" TEXT, \"rand client\" TEXT, phonefinal TEXT, \"vru+line\" TEXT, call_id INTEGER, priority INTEGER, type TEXT, outcome TEXT, server TEXT, ser_start TEXT, ser_exit TEXT, ser_time TEXT, PRIMARY KEY (\"Complaint ID... | [
[
" CREATE TABLE callcenterlogs ( \"Date received\" DATE, \"Complaint ID\" TEXT, \"rand client\" TEXT, phonefinal TEXT, \"vru+line\" TEXT, call_id INTEGER, priority INTEGER, type TEXT, outcome TEXT, server TEXT, ser_start TEXT, ser_exit TEXT, ser_time TEXT, PRIMARY KEY (\"Complaint ID... | 6 | 6 | "{\"client\": [\"day\", \"client_id\", \"social\", \"last\", \"first\", \"city\", \"state\", \"year\", \"district_id\", \"middle\", \"sex\", \"address_1\", \"address_2\", \"email\", \"age\", \"month\", \"phone\", \"zipcode\"], \"events\": [\"Client_ID\", \"Consumer disputed?\", \"Consumer complaint narrative\", \"Compl... | |
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' | retail_complains | 252 | ["client", "callcenterlogs", "state", "district", "reviews", "events"] | [
[
" CREATE TABLE callcenterlogs ( \"Date received\" DATE, \"Complaint ID\" TEXT, \"rand client\" TEXT, phonefinal TEXT, \"vru+line\" TEXT, call_id INTEGER, priority INTEGER, type TEXT, outcome TEXT, server TEXT, ser_start TEXT, ser_exit TEXT, ser_time TEXT, PRIMARY KEY (\"Complaint ID... | [
[
" CREATE TABLE callcenterlogs ( \"Date received\" DATE, \"Complaint ID\" TEXT, \"rand client\" TEXT, phonefinal TEXT, \"vru+line\" TEXT, call_id INTEGER, priority INTEGER, type TEXT, outcome TEXT, server TEXT, ser_start TEXT, ser_exit TEXT, ser_time TEXT, PRIMARY KEY (\"Complaint ID... | 6 | 6 | "{\"events\": [\"Timely response?\", \"Company response to consumer\", \"Client_ID\", \"Date received\", \"Consumer complaint narrative\", \"Complaint ID\", \"Consumer disputed?\", \"Date sent to company\", \"Consumer consent provided?\", \"Submitted via\", \"Tags\", \"Sub-issue\", \"Issue\", \"Product\", \"Sub-product... | |
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' | retail_complains | 253 | ["client", "callcenterlogs", "state", "district", "reviews", "events"] | [
[
" CREATE TABLE callcenterlogs ( \"Date received\" DATE, \"Complaint ID\" TEXT, \"rand client\" TEXT, phonefinal TEXT, \"vru+line\" TEXT, call_id INTEGER, priority INTEGER, type TEXT, outcome TEXT, server TEXT, ser_start TEXT, ser_exit TEXT, ser_time TEXT, PRIMARY KEY (\"Complaint ID... | [
[
" CREATE TABLE callcenterlogs ( \"Date received\" DATE, \"Complaint ID\" TEXT, \"rand client\" TEXT, phonefinal TEXT, \"vru+line\" TEXT, call_id INTEGER, priority INTEGER, type TEXT, outcome TEXT, server TEXT, ser_start TEXT, ser_exit TEXT, ser_time TEXT, PRIMARY KEY (\"Complaint ID... | 6 | 6 | "{\"client\": [\"year\", \"sex\", \"social\", \"client_id\", \"age\", \"first\", \"state\", \"city\", \"address_1\", \"last\", \"middle\", \"day\", \"address_2\", \"month\", \"district_id\", \"email\", \"zipcode\", \"phone\"], \"events\": [\"Client_ID\", \"Consumer disputed?\", \"Consumer complaint narrative\", \"Compa... | |
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' | retail_complains | 254 | ["client", "callcenterlogs", "state", "district", "reviews"] | [
[
" CREATE TABLE callcenterlogs ( \"Date received\" DATE, \"Complaint ID\" TEXT, \"rand client\" TEXT, phonefinal TEXT, \"vru+line\" TEXT, call_id INTEGER, priority INTEGER, type TEXT, outcome TEXT, server TEXT, ser_start TEXT, ser_exit TEXT, ser_time TEXT, PRIMARY KEY (\"Complaint ID... | [
[
" CREATE TABLE callcenterlogs ( \"Date received\" DATE, \"Complaint ID\" TEXT, \"rand client\" TEXT, phonefinal TEXT, \"vru+line\" TEXT, call_id INTEGER, priority INTEGER, type TEXT, outcome TEXT, server TEXT, ser_start TEXT, ser_exit TEXT, ser_time TEXT, PRIMARY KEY (\"Complaint ID... | 6 | 6 | "{\"district\": [\"division\", \"district_id\", \"state_abbrev\", \"city\"], \"state\": [\"Region\", \"State\", \"StateCode\"], \"client\": [\"district_id\", \"zipcode\", \"city\", \"state\", \"middle\", \"client_id\", \"address_1\", \"year\", \"address_2\", \"month\", \"sex\", \"first\", \"social\"], \"callcenterlogs\... | |
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' | retail_complains | 255 | ["client", "callcenterlogs", "state", "district", "reviews", "events"] | [
[
" CREATE TABLE callcenterlogs ( \"Date received\" DATE, \"Complaint ID\" TEXT, \"rand client\" TEXT, phonefinal TEXT, \"vru+line\" TEXT, call_id INTEGER, priority INTEGER, type TEXT, outcome TEXT, server TEXT, ser_start TEXT, ser_exit TEXT, ser_time TEXT, PRIMARY KEY (\"Complaint ID... | [
[
" CREATE TABLE callcenterlogs ( \"Date received\" DATE, \"Complaint ID\" TEXT, \"rand client\" TEXT, phonefinal TEXT, \"vru+line\" TEXT, call_id INTEGER, priority INTEGER, type TEXT, outcome TEXT, server TEXT, ser_start TEXT, ser_exit TEXT, ser_time TEXT, PRIMARY KEY (\"Complaint ID... | 6 | 6 | "{\"district\": [\"division\", \"state_abbrev\", \"city\", \"district_id\"], \"client\": [\"sex\", \"client_id\", \"social\", \"city\", \"middle\", \"state\", \"district_id\", \"last\", \"day\", \"first\", \"zipcode\", \"year\", \"address_1\", \"age\", \"address_2\", \"email\", \"phone\", \"month\"], \"callcenterlogs\"... | |
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' | retail_complains | 256 | ["client", "callcenterlogs", "state", "district", "reviews", "events"] | [
[
" CREATE TABLE callcenterlogs ( \"Date received\" DATE, \"Complaint ID\" TEXT, \"rand client\" TEXT, phonefinal TEXT, \"vru+line\" TEXT, call_id INTEGER, priority INTEGER, type TEXT, outcome TEXT, server TEXT, ser_start TEXT, ser_exit TEXT, ser_time TEXT, PRIMARY KEY (\"Complaint ID... | [
[
" CREATE TABLE callcenterlogs ( \"Date received\" DATE, \"Complaint ID\" TEXT, \"rand client\" TEXT, phonefinal TEXT, \"vru+line\" TEXT, call_id INTEGER, priority INTEGER, type TEXT, outcome TEXT, server TEXT, ser_start TEXT, ser_exit TEXT, ser_time TEXT, PRIMARY KEY (\"Complaint ID... | 6 | 6 | "{\"client\": [\"year\", \"city\", \"client_id\", \"social\", \"age\", \"zipcode\", \"district_id\", \"last\", \"phone\", \"first\", \"state\", \"address_1\", \"day\", \"middle\", \"sex\", \"address_2\", \"email\", \"month\"], \"events\": [\"Client_ID\", \"Consumer complaint narrative\", \"Consumer disputed?\", \"Compl... | |
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.Clien... | retail_complains | 257 | ["client", "callcenterlogs", "state", "district", "reviews", "events"] | [
[
" CREATE TABLE callcenterlogs ( \"Date received\" DATE, \"Complaint ID\" TEXT, \"rand client\" TEXT, phonefinal TEXT, \"vru+line\" TEXT, call_id INTEGER, priority INTEGER, type TEXT, outcome TEXT, server TEXT, ser_start TEXT, ser_exit TEXT, ser_time TEXT, PRIMARY KEY (\"Complaint ID... | [
[
" CREATE TABLE callcenterlogs ( \"Date received\" DATE, \"Complaint ID\" TEXT, \"rand client\" TEXT, phonefinal TEXT, \"vru+line\" TEXT, call_id INTEGER, priority INTEGER, type TEXT, outcome TEXT, server TEXT, ser_start TEXT, ser_exit TEXT, ser_time TEXT, PRIMARY KEY (\"Complaint ID... | 6 | 6 | "{\"client\": [\"year\", \"city\", \"social\", \"day\", \"state\", \"client_id\", \"age\", \"sex\", \"first\", \"district_id\", \"address_1\", \"month\", \"email\", \"zipcode\", \"middle\", \"last\", \"address_2\", \"phone\"], \"events\": [\"Client_ID\", \"Complaint ID\", \"Consumer complaint narrative\", \"Company res... | |
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' | retail_complains | 258 | ["client", "callcenterlogs", "state", "district", "reviews", "events"] | [
[
" CREATE TABLE callcenterlogs ( \"Date received\" DATE, \"Complaint ID\" TEXT, \"rand client\" TEXT, phonefinal TEXT, \"vru+line\" TEXT, call_id INTEGER, priority INTEGER, type TEXT, outcome TEXT, server TEXT, ser_start TEXT, ser_exit TEXT, ser_time TEXT, PRIMARY KEY (\"Complaint ID... | [
[
" CREATE TABLE callcenterlogs ( \"Date received\" DATE, \"Complaint ID\" TEXT, \"rand client\" TEXT, phonefinal TEXT, \"vru+line\" TEXT, call_id INTEGER, priority INTEGER, type TEXT, outcome TEXT, server TEXT, ser_start TEXT, ser_exit TEXT, ser_time TEXT, PRIMARY KEY (\"Complaint ID... | 6 | 6 | "{\"callcenterlogs\": [\"ser_time\", \"rand client\", \"Date received\", \"Complaint ID\", \"server\", \"priority\", \"phonefinal\", \"ser_start\", \"outcome\", \"call_id\", \"ser_exit\", \"type\", \"vru+line\"], \"client\": [\"day\", \"month\", \"phone\", \"city\", \"address_2\", \"state\", \"year\", \"social\", \"sex... | |
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' | retail_complains | 259 | ["client", "callcenterlogs", "state", "district", "reviews", "events"] | [
[
" CREATE TABLE callcenterlogs ( \"Date received\" DATE, \"Complaint ID\" TEXT, \"rand client\" TEXT, phonefinal TEXT, \"vru+line\" TEXT, call_id INTEGER, priority INTEGER, type TEXT, outcome TEXT, server TEXT, ser_start TEXT, ser_exit TEXT, ser_time TEXT, PRIMARY KEY (\"Complaint ID... | [
[
" CREATE TABLE callcenterlogs ( \"Date received\" DATE, \"Complaint ID\" TEXT, \"rand client\" TEXT, phonefinal TEXT, \"vru+line\" TEXT, call_id INTEGER, priority INTEGER, type TEXT, outcome TEXT, server TEXT, ser_start TEXT, ser_exit TEXT, ser_time TEXT, PRIMARY KEY (\"Complaint ID... | 6 | 6 | "{\"state\": [\"Region\", \"State\", \"StateCode\"], \"district\": [\"state_abbrev\", \"city\", \"district_id\", \"division\"], \"client\": [\"state\", \"email\", \"city\", \"social\", \"district_id\", \"phone\", \"last\", \"client_id\", \"address_1\", \"first\", \"year\", \"day\", \"middle\", \"sex\", \"address_2\"], ... | |
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' | retail_complains | 260 | ["client", "callcenterlogs", "state", "district", "reviews", "events"] | [
[
" CREATE TABLE callcenterlogs ( \"Date received\" DATE, \"Complaint ID\" TEXT, \"rand client\" TEXT, phonefinal TEXT, \"vru+line\" TEXT, call_id INTEGER, priority INTEGER, type TEXT, outcome TEXT, server TEXT, ser_start TEXT, ser_exit TEXT, ser_time TEXT, PRIMARY KEY (\"Complaint ID... | [
[
" CREATE TABLE callcenterlogs ( \"Date received\" DATE, \"Complaint ID\" TEXT, \"rand client\" TEXT, phonefinal TEXT, \"vru+line\" TEXT, call_id INTEGER, priority INTEGER, type TEXT, outcome TEXT, server TEXT, ser_start TEXT, ser_exit TEXT, ser_time TEXT, PRIMARY KEY (\"Complaint ID... | 6 | 6 | "{\"events\": [\"Product\", \"Sub-product\", \"Consumer disputed?\", \"Company response to consumer\", \"Consumer complaint narrative\", \"Client_ID\", \"Consumer consent provided?\", \"Timely response?\", \"Complaint ID\", \"Issue\", \"Sub-issue\", \"Tags\", \"Date sent to company\"], \"reviews\": [\"Product\", \"Date... | |
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' | retail_complains | 261 | ["client", "callcenterlogs", "state", "district", "events"] | [
[
" CREATE TABLE callcenterlogs ( \"Date received\" DATE, \"Complaint ID\" TEXT, \"rand client\" TEXT, phonefinal TEXT, \"vru+line\" TEXT, call_id INTEGER, priority INTEGER, type TEXT, outcome TEXT, server TEXT, ser_start TEXT, ser_exit TEXT, ser_time TEXT, PRIMARY KEY (\"Complaint ID... | [
[
" CREATE TABLE callcenterlogs ( \"Date received\" DATE, \"Complaint ID\" TEXT, \"rand client\" TEXT, phonefinal TEXT, \"vru+line\" TEXT, call_id INTEGER, priority INTEGER, type TEXT, outcome TEXT, server TEXT, ser_start TEXT, ser_exit TEXT, ser_time TEXT, PRIMARY KEY (\"Complaint ID... | 6 | 6 | "{\"events\": [\"Issue\", \"Sub-issue\", \"Consumer disputed?\", \"Complaint ID\", \"Consumer complaint narrative\", \"Client_ID\", \"Tags\", \"Timely response?\", \"Company response to consumer\", \"Product\", \"Sub-product\", \"Submitted via\"], \"callcenterlogs\": [\"priority\", \"server\", \"ser_start\", \"type\", ... | |
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' | retail_complains | 262 | ["client", "callcenterlogs", "state", "district", "reviews", "events"] | [
[
" CREATE TABLE callcenterlogs ( \"Date received\" DATE, \"Complaint ID\" TEXT, \"rand client\" TEXT, phonefinal TEXT, \"vru+line\" TEXT, call_id INTEGER, priority INTEGER, type TEXT, outcome TEXT, server TEXT, ser_start TEXT, ser_exit TEXT, ser_time TEXT, PRIMARY KEY (\"Complaint ID... | [
[
" CREATE TABLE callcenterlogs ( \"Date received\" DATE, \"Complaint ID\" TEXT, \"rand client\" TEXT, phonefinal TEXT, \"vru+line\" TEXT, call_id INTEGER, priority INTEGER, type TEXT, outcome TEXT, server TEXT, ser_start TEXT, ser_exit TEXT, ser_time TEXT, PRIMARY KEY (\"Complaint ID... | 6 | 6 | "{\"events\": [\"Consumer consent provided?\", \"Complaint ID\", \"Consumer complaint narrative\", \"Consumer disputed?\", \"Timely response?\", \"Company response to consumer\", \"Submitted via\", \"Date received\", \"Date sent to company\"], \"callcenterlogs\": [\"Complaint ID\", \"Date received\", \"outcome\", \"cal... | |
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... | retail_complains | 263 | ["client", "callcenterlogs", "state", "district", "reviews", "events"] | [
[
" CREATE TABLE callcenterlogs ( \"Date received\" DATE, \"Complaint ID\" TEXT, \"rand client\" TEXT, phonefinal TEXT, \"vru+line\" TEXT, call_id INTEGER, priority INTEGER, type TEXT, outcome TEXT, server TEXT, ser_start TEXT, ser_exit TEXT, ser_time TEXT, PRIMARY KEY (\"Complaint ID... | [
[
" CREATE TABLE callcenterlogs ( \"Date received\" DATE, \"Complaint ID\" TEXT, \"rand client\" TEXT, phonefinal TEXT, \"vru+line\" TEXT, call_id INTEGER, priority INTEGER, type TEXT, outcome TEXT, server TEXT, ser_start TEXT, ser_exit TEXT, ser_time TEXT, PRIMARY KEY (\"Complaint ID... | 6 | 6 | "{\"callcenterlogs\": [\"Date received\", \"Complaint ID\", \"ser_time\", \"priority\", \"call_id\", \"phonefinal\", \"outcome\", \"type\", \"vru+line\", \"ser_start\", \"server\", \"rand client\", \"ser_exit\"], \"events\": [\"Timely response?\", \"Complaint ID\", \"Date received\", \"Consumer complaint narrative\", \... | |
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' | retail_complains | 264 | ["client", "callcenterlogs", "state", "district", "reviews", "events"] | [
[
" CREATE TABLE callcenterlogs ( \"Date received\" DATE, \"Complaint ID\" TEXT, \"rand client\" TEXT, phonefinal TEXT, \"vru+line\" TEXT, call_id INTEGER, priority INTEGER, type TEXT, outcome TEXT, server TEXT, ser_start TEXT, ser_exit TEXT, ser_time TEXT, PRIMARY KEY (\"Complaint ID... | [
[
" CREATE TABLE callcenterlogs ( \"Date received\" DATE, \"Complaint ID\" TEXT, \"rand client\" TEXT, phonefinal TEXT, \"vru+line\" TEXT, call_id INTEGER, priority INTEGER, type TEXT, outcome TEXT, server TEXT, ser_start TEXT, ser_exit TEXT, ser_time TEXT, PRIMARY KEY (\"Complaint ID... | 6 | 6 | "{\"reviews\": [\"district_id\", \"Reviews\", \"Date\", \"Stars\", \"Product\"], \"district\": [\"city\", \"district_id\", \"division\", \"state_abbrev\"], \"client\": [\"district_id\", \"city\", \"day\", \"phone\", \"middle\", \"year\", \"social\", \"last\", \"first\", \"sex\"], \"events\": [\"Timely response?\", \"Co... | |
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' | retail_complains | 265 | ["client", "callcenterlogs", "state", "district", "reviews", "events"] | [
[
" CREATE TABLE callcenterlogs ( \"Date received\" DATE, \"Complaint ID\" TEXT, \"rand client\" TEXT, phonefinal TEXT, \"vru+line\" TEXT, call_id INTEGER, priority INTEGER, type TEXT, outcome TEXT, server TEXT, ser_start TEXT, ser_exit TEXT, ser_time TEXT, PRIMARY KEY (\"Complaint ID... | [
[
" CREATE TABLE callcenterlogs ( \"Date received\" DATE, \"Complaint ID\" TEXT, \"rand client\" TEXT, phonefinal TEXT, \"vru+line\" TEXT, call_id INTEGER, priority INTEGER, type TEXT, outcome TEXT, server TEXT, ser_start TEXT, ser_exit TEXT, ser_time TEXT, PRIMARY KEY (\"Complaint ID... | 6 | 6 | "{\"reviews\": [\"Reviews\", \"Date\", \"district_id\", \"Stars\", \"Product\"], \"events\": [\"Timely response?\", \"Consumer disputed?\", \"Submitted via\", \"Date received\", \"Complaint ID\", \"Consumer complaint narrative\", \"Company response to consumer\", \"Date sent to company\", \"Tags\", \"Issue\", \"Consume... | |
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' | retail_complains | 266 | ["client", "callcenterlogs", "state", "district", "reviews", "events"] | [
[
" CREATE TABLE callcenterlogs ( \"Date received\" DATE, \"Complaint ID\" TEXT, \"rand client\" TEXT, phonefinal TEXT, \"vru+line\" TEXT, call_id INTEGER, priority INTEGER, type TEXT, outcome TEXT, server TEXT, ser_start TEXT, ser_exit TEXT, ser_time TEXT, PRIMARY KEY (\"Complaint ID... | [
[
" CREATE TABLE callcenterlogs ( \"Date received\" DATE, \"Complaint ID\" TEXT, \"rand client\" TEXT, phonefinal TEXT, \"vru+line\" TEXT, call_id INTEGER, priority INTEGER, type TEXT, outcome TEXT, server TEXT, ser_start TEXT, ser_exit TEXT, ser_time TEXT, PRIMARY KEY (\"Complaint ID... | 6 | 6 | "{\"reviews\": [\"Product\", \"Reviews\", \"Date\", \"district_id\", \"Stars\"], \"events\": [\"Product\", \"Sub-product\", \"Date received\", \"Company response to consumer\", \"Consumer disputed?\", \"Timely response?\", \"Consumer consent provided?\", \"Submitted via\", \"Date sent to company\", \"Consumer complaint... |
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