1sf/bird-sql-train-with-schema huggingface dataset:
Database: retail_world
Tables: Categories, Customers, Employees, Shippers, Suppliers, Products, Orders, OrderDetails
Columns (table index, column name): -1, *, 0, CategoryID, 0, CategoryName, 0, Description, 1, CustomerID, 1, CustomerName, 1, ContactName, 1, Address, 1, City, 1, PostalCode, 1, Country, 2, EmployeeID, 2, LastName, 2, FirstName, 2, BirthDate, 2, Photo, 2, Notes, 3, ShipperID, 3, ShipperName, 3, Phone, 4, SupplierID, 4, SupplierName, 4, ContactName, 4, Address, 4, City, 4, PostalCode, 4, Country, 4, Phone, 5, ProductID, 5, ProductName, 5, SupplierID, 5, CategoryID, 5, Unit, 5, Price, 6, OrderID, 6, CustomerID, 6, EmployeeID, 6, OrderDate, 6, ShipperID, 7, OrderDetailID, 7, OrderID, 7, ProductID, 7, Quantity
Question: List the names of non-US suppliers that have discontinued.
Evidence: non-US refers to Country <> 'USA'; discontinued refers to Discontinued = 1
SQL: SELECT DISTINCT T2.CompanyName FROM Products AS T1 INNER JOIN Suppliers AS T2 ON T1.SupplierID = T2.SupplierID WHERE T1.Discontinued = 1 AND T2.Country != 'USA'
Database: retail_world
Tables: Categories, Customers, Employees, Shippers, Suppliers, Products, Orders, OrderDetails
Columns (table index, column name): -1, *, 0, CategoryID, 0, CategoryName, 0, Description, 1, CustomerID, 1, CustomerName, 1, ContactName, 1, Address, 1, City, 1, PostalCode, 1, Country, 2, EmployeeID, 2, LastName, 2, FirstName, 2, BirthDate, 2, Photo, 2, Notes, 3, ShipperID, 3, ShipperName, 3, Phone, 4, SupplierID, 4, SupplierName, 4, ContactName, 4, Address, 4, City, 4, PostalCode, 4, Country, 4, Phone, 5, ProductID, 5, ProductName, 5, SupplierID, 5, CategoryID, 5, Unit, 5, Price, 6, OrderID, 6, CustomerID, 6, EmployeeID, 6, OrderDate, 6, ShipperID, 7, OrderDetailID, 7, OrderID, 7, ProductID, 7, Quantity
Question: List the top five most costly products in 1998.
Evidence: most costly refers to max(add(unit price , Freight)); in 1998 refers to OrderDate > = '1998-01-01 00:00:00' AND OrderDate < '1999-01-01 00:00:00'
SQL: SELECT T3.ProductName FROM Orders AS T1 INNER JOIN `Order Details` AS T2 ON T1.OrderID = T2.OrderID INNER JOIN Products AS T3 ON T2.ProductID = T3.ProductID WHERE T1.OrderDate LIKE '1998%' ORDER BY T3.UnitPrice + T1.Freight DESC LIMIT 5
Database: retail_world
Tables: Categories, Customers, Employees, Shippers, Suppliers, Products, Orders, OrderDetails
Columns (table index, column name): -1, *, 0, CategoryID, 0, CategoryName, 0, Description, 1, CustomerID, 1, CustomerName, 1, ContactName, 1, Address, 1, City, 1, PostalCode, 1, Country, 2, EmployeeID, 2, LastName, 2, FirstName, 2, BirthDate, 2, Photo, 2, Notes, 3, ShipperID, 3, ShipperName, 3, Phone, 4, SupplierID, 4, SupplierName, 4, ContactName, 4, Address, 4, City, 4, PostalCode, 4, Country, 4, Phone, 5, ProductID, 5, ProductName, 5, SupplierID, 5, CategoryID, 5, Unit, 5, Price, 6, OrderID, 6, CustomerID, 6, EmployeeID, 6, OrderDate, 6, ShipperID, 7, OrderDetailID, 7, OrderID, 7, ProductID, 7, Quantity
Question: Of the customers who are from Canada, how many used Federal Shipping?
Evidence: from Canada refers to Country = 'Canada'; Federal Shipping refers to ShipName = 'Federal Shipping'
SQL: SELECT COUNT(T3.CustomerID) FROM Shippers AS T1 INNER JOIN Orders AS T2 ON T1.ShipperID = T2.ShipVia INNER JOIN Customers AS T3 ON T2.CustomerID = T3.CustomerID WHERE T2.ShipName = 'Federal Shipping'
Database: retail_world
Tables: Categories, Customers, Employees, Shippers, Suppliers, Products, Orders, OrderDetails
Columns (table index, column name): -1, *, 0, CategoryID, 0, CategoryName, 0, Description, 1, CustomerID, 1, CustomerName, 1, ContactName, 1, Address, 1, City, 1, PostalCode, 1, Country, 2, EmployeeID, 2, LastName, 2, FirstName, 2, BirthDate, 2, Photo, 2, Notes, 3, ShipperID, 3, ShipperName, 3, Phone, 4, SupplierID, 4, SupplierName, 4, ContactName, 4, Address, 4, City, 4, PostalCode, 4, Country, 4, Phone, 5, ProductID, 5, ProductName, 5, SupplierID, 5, CategoryID, 5, Unit, 5, Price, 6, OrderID, 6, CustomerID, 6, EmployeeID, 6, OrderDate, 6, ShipperID, 7, OrderDetailID, 7, OrderID, 7, ProductID, 7, Quantity
Question: List the name of the top ten most ordered product's names in descending order of the number of orders.
Evidence: most ordered refers to max(COUNT(OrderID))
SQL: SELECT T3.ProductName FROM Orders AS T1 INNER JOIN `Order Details` AS T2 ON T1.OrderID = T2.OrderID INNER JOIN Products AS T3 ON T2.ProductID = T3.ProductID GROUP BY T3.ProductName ORDER BY COUNT(*) DESC LIMIT 10
Database: retail_world
Tables: Categories, Customers, Employees, Shippers, Suppliers, Products, Orders, OrderDetails
Columns (table index, column name): -1, *, 0, CategoryID, 0, CategoryName, 0, Description, 1, CustomerID, 1, CustomerName, 1, ContactName, 1, Address, 1, City, 1, PostalCode, 1, Country, 2, EmployeeID, 2, LastName, 2, FirstName, 2, BirthDate, 2, Photo, 2, Notes, 3, ShipperID, 3, ShipperName, 3, Phone, 4, SupplierID, 4, SupplierName, 4, ContactName, 4, Address, 4, City, 4, PostalCode, 4, Country, 4, Phone, 5, ProductID, 5, ProductName, 5, SupplierID, 5, CategoryID, 5, Unit, 5, Price, 6, OrderID, 6, CustomerID, 6, EmployeeID, 6, OrderDate, 6, ShipperID, 7, OrderDetailID, 7, OrderID, 7, ProductID, 7, Quantity
Question: Which supplier supplies the most amount of products?
Evidence: supplier refers to SupplierID; most amount refers to max(count(ProductID))
SQL: SELECT T2.CompanyName FROM Products AS T1 INNER JOIN Suppliers AS T2 ON T1.SupplierID = T2.SupplierID GROUP BY T2.SupplierID, T2.CompanyName ORDER BY COUNT(T1.ProductName) DESC LIMIT 1
Database: retail_world
Tables: Categories, Customers, Employees, Shippers, Suppliers, Products, Orders, OrderDetails
Columns (table index, column name): -1, *, 0, CategoryID, 0, CategoryName, 0, Description, 1, CustomerID, 1, CustomerName, 1, ContactName, 1, Address, 1, City, 1, PostalCode, 1, Country, 2, EmployeeID, 2, LastName, 2, FirstName, 2, BirthDate, 2, Photo, 2, Notes, 3, ShipperID, 3, ShipperName, 3, Phone, 4, SupplierID, 4, SupplierName, 4, ContactName, 4, Address, 4, City, 4, PostalCode, 4, Country, 4, Phone, 5, ProductID, 5, ProductName, 5, SupplierID, 5, CategoryID, 5, Unit, 5, Price, 6, OrderID, 6, CustomerID, 6, EmployeeID, 6, OrderDate, 6, ShipperID, 7, OrderDetailID, 7, OrderID, 7, ProductID, 7, Quantity
Question: Please list the full name and region of each employee in alphabetical order.
Evidence: full name refers to FirstName LastName; region refers to RegionDescription
SQL: SELECT DISTINCT T1.FirstName, T1.LastName, T4.RegionDescription FROM Employees AS T1 INNER JOIN EmployeeTerritories AS T2 ON T1.EmployeeID = T2.EmployeeID INNER JOIN Territories AS T3 ON T2.TerritoryID = T3.TerritoryID INNER JOIN Region AS T4 ON T3.RegionID = T4.RegionID ORDER BY T1.FirstName
Database: retail_world
Tables: Categories, Customers, Employees, Shippers, Suppliers, Products, Orders, OrderDetails
Columns (table index, column name): -1, *, 0, CategoryID, 0, CategoryName, 0, Description, 1, CustomerID, 1, CustomerName, 1, ContactName, 1, Address, 1, City, 1, PostalCode, 1, Country, 2, EmployeeID, 2, LastName, 2, FirstName, 2, BirthDate, 2, Photo, 2, Notes, 3, ShipperID, 3, ShipperName, 3, Phone, 4, SupplierID, 4, SupplierName, 4, ContactName, 4, Address, 4, City, 4, PostalCode, 4, Country, 4, Phone, 5, ProductID, 5, ProductName, 5, SupplierID, 5, CategoryID, 5, Unit, 5, Price, 6, OrderID, 6, CustomerID, 6, EmployeeID, 6, OrderDate, 6, ShipperID, 7, OrderDetailID, 7, OrderID, 7, ProductID, 7, Quantity
Question: Which employee handled the most amount of orders in 1996? Give the full name, title, and address of this employee.
Evidence: most amount of orders refers to max(count(OrderID)); in 1996 refers to OrderDate > = '1996-01-01 00:00:00' AND OrderDate < '1997-01-01 00:00:00'; full name refers to FirstName, LastName
SQL: SELECT FirstName, LastName, Title, address FROM Employees WHERE EmployeeID = ( SELECT T1.EmployeeID FROM Employees AS T1 INNER JOIN Orders AS T2 ON T1.EmployeeID = T2.EmployeeID WHERE T2.OrderDate BETWEEN '1996-01-01 00:00:00' AND '1997-01-01 00:00:00' GROUP BY T1.EmployeeID ORDER BY COUNT(T2.OrderID) DESC LIMIT 1 )
Database: retail_world
Tables: Categories, Customers, Employees, Shippers, Suppliers, Products, Orders, OrderDetails
Columns (table index, column name): -1, *, 0, CategoryID, 0, CategoryName, 0, Description, 1, CustomerID, 1, CustomerName, 1, ContactName, 1, Address, 1, City, 1, PostalCode, 1, Country, 2, EmployeeID, 2, LastName, 2, FirstName, 2, BirthDate, 2, Photo, 2, Notes, 3, ShipperID, 3, ShipperName, 3, Phone, 4, SupplierID, 4, SupplierName, 4, ContactName, 4, Address, 4, City, 4, PostalCode, 4, Country, 4, Phone, 5, ProductID, 5, ProductName, 5, SupplierID, 5, CategoryID, 5, Unit, 5, Price, 6, OrderID, 6, CustomerID, 6, EmployeeID, 6, OrderDate, 6, ShipperID, 7, OrderDetailID, 7, OrderID, 7, ProductID, 7, Quantity
Question: What was the average unit price of products shipped via United Package in 1997?
Evidence: via United Package refers to CompanyName = 'United Package'; in 1997 refers to OrderDate > = '1997-01-01 00:00:00' AND OrderDate < '1998-01-01 00:00:00'; average unit price = divide(sum(UnitPrice), count(ShipperID))
SQL: SELECT AVG(T2.UnitPrice) FROM Orders AS T1 INNER JOIN `Order Details` AS T2 ON T1.OrderID = T2.OrderID INNER JOIN Shippers AS T3 ON T1.ShipVia = T3.ShipperID WHERE T1.OrderDate LIKE '1997%' AND T3.CompanyName = 'United Package'
Database: retail_world
Tables: Categories, Customers, Employees, Shippers, Suppliers, Products, Orders, OrderDetails
Columns (table index, column name): -1, *, 0, CategoryID, 0, CategoryName, 0, Description, 1, CustomerID, 1, CustomerName, 1, ContactName, 1, Address, 1, City, 1, PostalCode, 1, Country, 2, EmployeeID, 2, LastName, 2, FirstName, 2, BirthDate, 2, Photo, 2, Notes, 3, ShipperID, 3, ShipperName, 3, Phone, 4, SupplierID, 4, SupplierName, 4, ContactName, 4, Address, 4, City, 4, PostalCode, 4, Country, 4, Phone, 5, ProductID, 5, ProductName, 5, SupplierID, 5, CategoryID, 5, Unit, 5, Price, 6, OrderID, 6, CustomerID, 6, EmployeeID, 6, OrderDate, 6, ShipperID, 7, OrderDetailID, 7, OrderID, 7, ProductID, 7, Quantity
Question: Calculate the percentage of shipping done through Speedy Express.
Evidence: through Speedy Express refers to CompanyName = 'Speedy Express'; percentage = divide(count(ShipperID where CompanyName = 'Speedy Express') , count(ShipperID)) * 100%
SQL: SELECT CAST(COUNT(CASE WHEN T2.CompanyName = 'Speedy Express' THEN 1 ELSE NULL END) AS REAL) * 100 / COUNT(T1.ShipVia) FROM Orders AS T1 INNER JOIN Shippers AS T2 ON T1.ShipVia = T2.ShipperID
Database: retail_world
Tables: Categories, Customers, Employees, Shippers, Suppliers, Products, Orders, OrderDetails
Columns (table index, column name): -1, *, 0, CategoryID, 0, CategoryName, 0, Description, 1, CustomerID, 1, CustomerName, 1, ContactName, 1, Address, 1, City, 1, PostalCode, 1, Country, 2, EmployeeID, 2, LastName, 2, FirstName, 2, BirthDate, 2, Photo, 2, Notes, 3, ShipperID, 3, ShipperName, 3, Phone, 4, SupplierID, 4, SupplierName, 4, ContactName, 4, Address, 4, City, 4, PostalCode, 4, Country, 4, Phone, 5, ProductID, 5, ProductName, 5, SupplierID, 5, CategoryID, 5, Unit, 5, Price, 6, OrderID, 6, CustomerID, 6, EmployeeID, 6, OrderDate, 6, ShipperID, 7, OrderDetailID, 7, OrderID, 7, ProductID, 7, Quantity
Question: Indicate the courtesy title of the 3 employees who have the lowest salary.
Evidence: courtesy title refers to TitleOfCourtesy; the lowest salary refers to MIN(Salary);
SQL: SELECT TitleOfCourtesy FROM Employees ORDER BY Salary LIMIT 3
Database: retail_world
Tables: Categories, Customers, Employees, Shippers, Suppliers, Products, Orders, OrderDetails
Columns (table index, column name): -1, *, 0, CategoryID, 0, CategoryName, 0, Description, 1, CustomerID, 1, CustomerName, 1, ContactName, 1, Address, 1, City, 1, PostalCode, 1, Country, 2, EmployeeID, 2, LastName, 2, FirstName, 2, BirthDate, 2, Photo, 2, Notes, 3, ShipperID, 3, ShipperName, 3, Phone, 4, SupplierID, 4, SupplierName, 4, ContactName, 4, Address, 4, City, 4, PostalCode, 4, Country, 4, Phone, 5, ProductID, 5, ProductName, 5, SupplierID, 5, CategoryID, 5, Unit, 5, Price, 6, OrderID, 6, CustomerID, 6, EmployeeID, 6, OrderDate, 6, ShipperID, 7, OrderDetailID, 7, OrderID, 7, ProductID, 7, Quantity
Question: What is the last name of the employees who must report to the Vice President of Sales?
Evidence: report to represents a hierarchical relationship where the person being reported to is usually the direct supervisor of the reporter; Vice President of Sales refers to Title = 'Vice President, Sales';
SQL: SELECT LastName FROM Employees WHERE ReportsTo = ( SELECT EmployeeID FROM Employees WHERE Title = 'Vice President, Sales' )
Database: retail_world
Tables: Categories, Customers, Employees, Shippers, Suppliers, Products, Orders, OrderDetails
Columns (table index, column name): -1, *, 0, CategoryID, 0, CategoryName, 0, Description, 1, CustomerID, 1, CustomerName, 1, ContactName, 1, Address, 1, City, 1, PostalCode, 1, Country, 2, EmployeeID, 2, LastName, 2, FirstName, 2, BirthDate, 2, Photo, 2, Notes, 3, ShipperID, 3, ShipperName, 3, Phone, 4, SupplierID, 4, SupplierName, 4, ContactName, 4, Address, 4, City, 4, PostalCode, 4, Country, 4, Phone, 5, ProductID, 5, ProductName, 5, SupplierID, 5, CategoryID, 5, Unit, 5, Price, 6, OrderID, 6, CustomerID, 6, EmployeeID, 6, OrderDate, 6, ShipperID, 7, OrderDetailID, 7, OrderID, 7, ProductID, 7, Quantity
Question: What is the highest total price paid for an order?
Evidence: the highest total price paid for an order can be calculated as MAX(MULTIPLY(UnitPrice, Quantity, SUBTRACT(1-Discount)));
SQL: SELECT UnitPrice * Quantity * (1 - Discount) AS THETOP FROM `Order Details` ORDER BY UnitPrice * Quantity * (1 - Discount) DESC LIMIT 1
Database: retail_world
Tables: Categories, Customers, Employees, Shippers, Suppliers, Products, Orders, OrderDetails
Columns (table index, column name): -1, *, 0, CategoryID, 0, CategoryName, 0, Description, 1, CustomerID, 1, CustomerName, 1, ContactName, 1, Address, 1, City, 1, PostalCode, 1, Country, 2, EmployeeID, 2, LastName, 2, FirstName, 2, BirthDate, 2, Photo, 2, Notes, 3, ShipperID, 3, ShipperName, 3, Phone, 4, SupplierID, 4, SupplierName, 4, ContactName, 4, Address, 4, City, 4, PostalCode, 4, Country, 4, Phone, 5, ProductID, 5, ProductName, 5, SupplierID, 5, CategoryID, 5, Unit, 5, Price, 6, OrderID, 6, CustomerID, 6, EmployeeID, 6, OrderDate, 6, ShipperID, 7, OrderDetailID, 7, OrderID, 7, ProductID, 7, Quantity
Question: Which 3 products are produced in greater quantity?
Evidence: 3 products produced in greater quantity refer to MAX(SUM(UnitsInStock, UnitsOnOrder)) Limit 3;
SQL: SELECT ProductName FROM Products ORDER BY UnitsInStock + UnitsOnOrder DESC LIMIT 3
Database: retail_world
Tables: Categories, Customers, Employees, Shippers, Suppliers, Products, Orders, OrderDetails
Columns (table index, column name): -1, *, 0, CategoryID, 0, CategoryName, 0, Description, 1, CustomerID, 1, CustomerName, 1, ContactName, 1, Address, 1, City, 1, PostalCode, 1, Country, 2, EmployeeID, 2, LastName, 2, FirstName, 2, BirthDate, 2, Photo, 2, Notes, 3, ShipperID, 3, ShipperName, 3, Phone, 4, SupplierID, 4, SupplierName, 4, ContactName, 4, Address, 4, City, 4, PostalCode, 4, Country, 4, Phone, 5, ProductID, 5, ProductName, 5, SupplierID, 5, CategoryID, 5, Unit, 5, Price, 6, OrderID, 6, CustomerID, 6, EmployeeID, 6, OrderDate, 6, ShipperID, 7, OrderDetailID, 7, OrderID, 7, ProductID, 7, Quantity
Question: Of the 10 products with the highest unit price, identify by their ID the ones that have generated the least satisfaction.
Evidence: High reorder level generally means high user satisfaction of the product and vice versa; the least satisfaction refers to MIN(ReorderLevel); the highest unit price refers to MAX(UnitPrice);
SQL: SELECT ProductID FROM Products ORDER BY ReorderLevel ASC, UnitPrice DESC LIMIT 1
Database: retail_world
Tables: Categories, Customers, Employees, Shippers, Suppliers, Products, Orders, OrderDetails
Columns (table index, column name): -1, *, 0, CategoryID, 0, CategoryName, 0, Description, 1, CustomerID, 1, CustomerName, 1, ContactName, 1, Address, 1, City, 1, PostalCode, 1, Country, 2, EmployeeID, 2, LastName, 2, FirstName, 2, BirthDate, 2, Photo, 2, Notes, 3, ShipperID, 3, ShipperName, 3, Phone, 4, SupplierID, 4, SupplierName, 4, ContactName, 4, Address, 4, City, 4, PostalCode, 4, Country, 4, Phone, 5, ProductID, 5, ProductName, 5, SupplierID, 5, CategoryID, 5, Unit, 5, Price, 6, OrderID, 6, CustomerID, 6, EmployeeID, 6, OrderDate, 6, ShipperID, 7, OrderDetailID, 7, OrderID, 7, ProductID, 7, Quantity
Question: How many non-discontinued products are there in the dairy category?
Evidence: non-discontinued products in the dairy category refer to ProductID where Discontinued = 0 and CategoryName = 'Dairy Products';
SQL: SELECT COUNT(T1.CategoryID) FROM Categories AS T1 INNER JOIN Products AS T2 ON T1.CategoryID = T2.CategoryID WHERE T1.CategoryName = 'Dairy Products' AND T2.Discontinued = 0
Database: retail_world
Tables: Categories, Customers, Employees, Shippers, Suppliers, Products, Orders, OrderDetails
Columns (table index, column name): -1, *, 0, CategoryID, 0, CategoryName, 0, Description, 1, CustomerID, 1, CustomerName, 1, ContactName, 1, Address, 1, City, 1, PostalCode, 1, Country, 2, EmployeeID, 2, LastName, 2, FirstName, 2, BirthDate, 2, Photo, 2, Notes, 3, ShipperID, 3, ShipperName, 3, Phone, 4, SupplierID, 4, SupplierName, 4, ContactName, 4, Address, 4, City, 4, PostalCode, 4, Country, 4, Phone, 5, ProductID, 5, ProductName, 5, SupplierID, 5, CategoryID, 5, Unit, 5, Price, 6, OrderID, 6, CustomerID, 6, EmployeeID, 6, OrderDate, 6, ShipperID, 7, OrderDetailID, 7, OrderID, 7, ProductID, 7, Quantity
Question: What territories is the Inside Sales Coordinator in charge of?
Evidence: territories refer to TerritoryDescription; Title = 'Inside Sales Coordinator';
SQL: SELECT T3.TerritoryDescription FROM Employees AS T1 INNER JOIN EmployeeTerritories AS T2 ON T1.EmployeeID = T2.EmployeeID INNER JOIN Territories AS T3 ON T2.TerritoryID = T3.TerritoryID WHERE T1.Title = 'Inside Sales Coordinator'
Database: retail_world
Tables: Categories, Customers, Employees, Shippers, Suppliers, Products, Orders, OrderDetails
Columns (table index, column name): -1, *, 0, CategoryID, 0, CategoryName, 0, Description, 1, CustomerID, 1, CustomerName, 1, ContactName, 1, Address, 1, City, 1, PostalCode, 1, Country, 2, EmployeeID, 2, LastName, 2, FirstName, 2, BirthDate, 2, Photo, 2, Notes, 3, ShipperID, 3, ShipperName, 3, Phone, 4, SupplierID, 4, SupplierName, 4, ContactName, 4, Address, 4, City, 4, PostalCode, 4, Country, 4, Phone, 5, ProductID, 5, ProductName, 5, SupplierID, 5, CategoryID, 5, Unit, 5, Price, 6, OrderID, 6, CustomerID, 6, EmployeeID, 6, OrderDate, 6, ShipperID, 7, OrderDetailID, 7, OrderID, 7, ProductID, 7, Quantity
Question: Indicate the name of the companies that have freighted products for a value greater than 2,000,000.
Evidence: freighted products for a value greater than 2,000,000 refer to Freight > 2000000; name of companies refers to CompanyName;
SQL: SELECT T1.CompanyName FROM Customers AS T1 INNER JOIN Orders AS T2 ON T1.CustomerID = T2.CustomerID WHERE T2.Freight > 2000000
Database: retail_world
Tables: Categories, Customers, Employees, Shippers, Suppliers, Products, Orders, OrderDetails
Columns (table index, column name): -1, *, 0, CategoryID, 0, CategoryName, 0, Description, 1, CustomerID, 1, CustomerName, 1, ContactName, 1, Address, 1, City, 1, PostalCode, 1, Country, 2, EmployeeID, 2, LastName, 2, FirstName, 2, BirthDate, 2, Photo, 2, Notes, 3, ShipperID, 3, ShipperName, 3, Phone, 4, SupplierID, 4, SupplierName, 4, ContactName, 4, Address, 4, City, 4, PostalCode, 4, Country, 4, Phone, 5, ProductID, 5, ProductName, 5, SupplierID, 5, CategoryID, 5, Unit, 5, Price, 6, OrderID, 6, CustomerID, 6, EmployeeID, 6, OrderDate, 6, ShipperID, 7, OrderDetailID, 7, OrderID, 7, ProductID, 7, Quantity
Question: Through which companies have products been shipped the most times to the city of Aachen?
Evidence: shipped the most times refer to MAX(COUNT(ShipVia)); city of Aachen refers to ShipCity = 'Aache'; companies refers to CompanyName;
SQL: SELECT T2.CompanyName FROM Orders AS T1 INNER JOIN Shippers AS T2 ON T1.ShipVia = T2.ShipperID WHERE T1.ShipCity = 'Aachen' GROUP BY T2.CompanyName ORDER BY COUNT(T1.ShipVia) DESC LIMIT 1
Database: retail_world
Tables: Categories, Customers, Employees, Shippers, Suppliers, Products, Orders, OrderDetails
Columns (table index, column name): -1, *, 0, CategoryID, 0, CategoryName, 0, Description, 1, CustomerID, 1, CustomerName, 1, ContactName, 1, Address, 1, City, 1, PostalCode, 1, Country, 2, EmployeeID, 2, LastName, 2, FirstName, 2, BirthDate, 2, Photo, 2, Notes, 3, ShipperID, 3, ShipperName, 3, Phone, 4, SupplierID, 4, SupplierName, 4, ContactName, 4, Address, 4, City, 4, PostalCode, 4, Country, 4, Phone, 5, ProductID, 5, ProductName, 5, SupplierID, 5, CategoryID, 5, Unit, 5, Price, 6, OrderID, 6, CustomerID, 6, EmployeeID, 6, OrderDate, 6, ShipperID, 7, OrderDetailID, 7, OrderID, 7, ProductID, 7, Quantity
Question: List the full name of all employees who work in the Northern region.
Evidence: full names = FirstName, LastName; Northern region refers to RegionDescription = 'Northern';
SQL: SELECT DISTINCT T1.FirstName, T1.LastName FROM Employees AS T1 INNER JOIN EmployeeTerritories AS T2 ON T1.EmployeeID = T2.EmployeeID INNER JOIN Territories AS T3 ON T2.TerritoryID = T3.TerritoryID INNER JOIN Region AS T4 ON T3.RegionID = T4.RegionID WHERE T4.RegionDescription = 'Northern'
Database: retail_world
Tables: Categories, Customers, Employees, Shippers, Suppliers, Products, Orders, OrderDetails
Columns (table index, column name): -1, *, 0, CategoryID, 0, CategoryName, 0, Description, 1, CustomerID, 1, CustomerName, 1, ContactName, 1, Address, 1, City, 1, PostalCode, 1, Country, 2, EmployeeID, 2, LastName, 2, FirstName, 2, BirthDate, 2, Photo, 2, Notes, 3, ShipperID, 3, ShipperName, 3, Phone, 4, SupplierID, 4, SupplierName, 4, ContactName, 4, Address, 4, City, 4, PostalCode, 4, Country, 4, Phone, 5, ProductID, 5, ProductName, 5, SupplierID, 5, CategoryID, 5, Unit, 5, Price, 6, OrderID, 6, CustomerID, 6, EmployeeID, 6, OrderDate, 6, ShipperID, 7, OrderDetailID, 7, OrderID, 7, ProductID, 7, Quantity
Question: What is the name of the contact person of the Pavlova supplier company?
Evidence: contact person refers to ContactName; Pavlova is the name of the product;
SQL: SELECT T2.ContactName FROM Products AS T1 INNER JOIN Suppliers AS T2 ON T1.SupplierID = T2.SupplierID WHERE T1.ProductName = 'Pavlova'
Database: retail_world
Tables: Categories, Customers, Employees, Shippers, Suppliers, Products, Orders, OrderDetails
Columns (table index, column name): -1, *, 0, CategoryID, 0, CategoryName, 0, Description, 1, CustomerID, 1, CustomerName, 1, ContactName, 1, Address, 1, City, 1, PostalCode, 1, Country, 2, EmployeeID, 2, LastName, 2, FirstName, 2, BirthDate, 2, Photo, 2, Notes, 3, ShipperID, 3, ShipperName, 3, Phone, 4, SupplierID, 4, SupplierName, 4, ContactName, 4, Address, 4, City, 4, PostalCode, 4, Country, 4, Phone, 5, ProductID, 5, ProductName, 5, SupplierID, 5, CategoryID, 5, Unit, 5, Price, 6, OrderID, 6, CustomerID, 6, EmployeeID, 6, OrderDate, 6, ShipperID, 7, OrderDetailID, 7, OrderID, 7, ProductID, 7, Quantity
Question: Indicate the name of the products that have been shipped to the city of Paris.
Evidence: shipped to the city of Paris refers to ShipCity = 'Paris';
SQL: SELECT T3.ProductName FROM Orders AS T1 INNER JOIN `Order Details` AS T2 ON T1.OrderID = T2.OrderID INNER JOIN Products AS T3 ON T2.ProductID = T3.ProductID WHERE T1.ShipCity = 'Paris'