What does this query count?SELECT COUNT(*)FROM Sales.Invoices RIGHT JOIN Sales.OrdersON Sales.Invoices.OrderID = Sales.Orders.OrderID;Group of answer choicesRows in Sales.Invoices, whether or not they have a matching row in Sales.Orders based on OrderIDRows in Sales.Invoices that have a matching row in Sales.Orders based on the OrderIDRows in Sales.Orders, whether or not they have a matching row in Sales.Invoices based on OrderIDRows from Sales.Invoices and from Sales.Orders, whether or not they have a matching OrderID
Question
What does this query count?SELECT COUNT(*)FROM Sales.Invoices RIGHT JOIN Sales.OrdersON Sales.Invoices.OrderID = Sales.Orders.OrderID;Group of answer choicesRows in Sales.Invoices, whether or not they have a matching row in Sales.Orders based on OrderIDRows in Sales.Invoices that have a matching row in Sales.Orders based on the OrderIDRows in Sales.Orders, whether or not they have a matching row in Sales.Invoices based on OrderIDRows from Sales.Invoices and from Sales.Orders, whether or not they have a matching OrderID
Solution
This query counts the rows in Sales.Orders, whether or not they have a matching row in Sales.Invoices based on OrderID.
Here's why:
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The query is using a RIGHT JOIN, which returns all the records from the right table (Sales.Orders in this case), and the matched records from the left table (Sales.Invoices).
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If there is no match, the result is NULL on the left side.
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The COUNT(*) function counts the number of rows that match a specified criteria. In this case, it's counting all rows returned by the query, which includes all rows in Sales.Orders and any matching rows in Sales.Invoices.
So, the correct answer is "Rows in Sales.Orders, whether or not they have a matching row in Sales.Invoices based on OrderID".
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