Datasets:
target-benchmark
/
spider-corpus-test

Dataset card Data Studio Files
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From goods as T1 JOIN items as T2 JOIN receipts as T3 ON T1.id = T2.item and T2.receipt = T3.ReceiptNumber
Group by T3.CustomerId
having sum(T1.price) > 150
Find the ids of customers whose average spending for each good is above 5.
Select T3.CustomerId
From goods as T1 JOIN items as T2 JOIN receipts as T3 ON T1.id = T2.item and T2.receipt = T3.ReceiptNumber
Group by T3.CustomerId
having avg(T1.price) > 5
On which day did the bakery sell more than 100 dollars in total.
Select T3.date
From goods as T1 JOIN items as T2 JOIN receipts as T3 ON T1.id = T2.item and T2.receipt = T3.ReceiptNumber
Group by T3.date
having sum(T1.price) > 100
http://users.csc.calpoly.edu/~dekhtyar/365-Spring2017/index.html
Find all chocolate-flavored items on the menu whose price is under $5.00. For each item output the flavor, the name (food type) of the item, and the price.
Report the prices of any lemon-flavored items. Output the flavor, the name (food type) and the price of each pastry.
Find all customers who made a purchase on October 3, 2007. Report the name of the customer (first, last).
Find all types of cookies purchased by KIP ARNN during the month of October of 2007. Report each cookie type (flavor, food type) exactly once.
Report the total amount of money NATACHA STENZ spent at the bakery during the month of October, 2007.
Find all customers who purchased, during the same trip to the bakery, two different Croissants. Report first and last names of the customers.
Find the total amount of money the bakery earned in October 2007 from selling eclairs. Report just the amount.
Report all days on which more than ten tarts were purchased.
For each purchase made by NATACHA STENZ output the receipt number, the date of purchase, the total number of items purchased and the amount paid.
Find the customer(s) who spent the most on pastries in October of 2007. Report first and last name.
Find the type of baked good (food type, flavor) responsible for highest total revenue.
Find the day of the highest revenue in the month of October, 2007.
Find the best-selling item (by number of purchases) on the day of the highest revenue in October of 2007.
https://github.com/ferreiro/SQL-Oracle-databases/blob/master/2_SQL_Queries/Block1%20(AllTheBooks%20Table).sql
List of books, the publication year of each of them and their authors, ordered by publication year
List of books that were published before 01-01-2000.
List of clients that have bought at least one book.
List of clients that bought the book whose ISBN= 4554672899910.
List of clients whose name contains ‘Jo’ and the books that they have bought.
List of clients that have bought at least a book whose price is greater than 10.
List of clients that have placed more than one order in the same date.
List of clients and dates in which they have placed orders that have not been sent yet.
List of clients that have not bought books whose price is greater than 10.
List of books whose sale price is greater than 30€ or that were published before 2000.
List of books and amount of copies of each of them that have been sold.
List of clients and the total amount that they have spent in the bookstore.
Profits obtained from sales of books.
Orders whose total amount is greater than 100.
Orders and the total amount of each of them that contains more than a book (title).
Orders and the total amount of each of them that contains more than 4 copies
List of the most expensive books.
List of books that have not been sold or that have been sold but the profit per copy is less than 5
List of clients that have bought more than one copy of a book sometime
SELECT TITLE, AÑO "YEAR", NAME "Author name"
FROM BOOK NATURAL JOIN AUTHOR_BOOK, AUTHOR
WHERE AUTHOR_BOOK.AUTHOR=AUTHOR.IDAUTHOR
ORDER BY AÑO;
SELECT TITLE, AÑO
FROM BOOK
WHERE AÑO<'2000';
SELECT DISTINCT IDCLIENT, NAME
FROM CLIENT NATURAL JOIN ORDERS;
select distinct client.name, Client.IdClient
from Client, Orders where
Client.IdClient=Orders.IdClient;