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WITH CUBE HAVING SUM(Linetotal) > 10000 ORDER BY SalesOrderID, ProductID;
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In the existing query window, below the existing code, type, highlight, and execute the following code to create a grouping set on the SalesOrderID and ProductID columns without any rollup operations. Review the result set:
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SELECT SalesOrderID, ProductID, SUM(Linetotal) AS 'Total' FROM Sales.SalesOrderDetail GROUP BY GROUPING SETS (ProductID, SalesOrderID ) ORDER BY SalesOrderID, ProductID
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Save the script and close the query window, but leave SSMS open for the next practice.
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Lesson Summary
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Aggregate functions perform calculations on expressions that are provided as input to the function. Use the GROUP BY clause when aggregates should be applied based on the data in specific rows rather than the entire table. Include all columns listed in a SELECT, WHERE, or ORDER BY clause in the GROUP BY clause. Use ROLLUP and CUBE to provide additional summary information. Use the GROUPING function to show which rows hold summary data provided by the ROLLUP or CUBE operators. Use GROUPING SETS to provide greater flexibility and readability to your GROUP BY queries.
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Lesson 3: Implementing Aggregate Queries
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Lesson 4: combining Datasets
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SQL Server 2008 provides several operators that provide you with the ability to combine or compare the results from multiple SELECT statements. The UNION operator has been available from the first version of SQL Server to provide the ability to combine the result sets from multiple queries. On the other hand, the EXCEPT and INTERSECT operators were introduced in SQL Server 2005 to provide the ability to compare the results from two queries and provide a new result set based on whether or not there are rows in common between the result sets. In addition, datasets can be manipulated by using the APPLY operator to apply a table-valued function against each row of the query results from what is defined as the outer table.
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note
USeR-DeFineD FUnctiOnS
SQL Server 2008 provides you with the ability to create user-defined functions (UDFs). Scalar functions return a single value of a specified data type, while inline table-valued functions and multi-statement table-valued functions return a table data type. For more information, see 5, Programming Microsoft SQL Server with T-SQL User-Defined Stored Procedures, Functions, Triggers, and Views.
After this lesson, you will be able to:
Write queries that use the UNION operator to combine result sets. Write queries that use the EXCEPT and INTERSECT operators to compare the results from multiple queries.
Estimated lesson time: 30 minutes
The UNION, EXCEPT, and INTERSECT operators can be specified between two or more queries to provide a single result set. While the UNION operator combines the result sets from the multiple queries into a single result set, the EXCEPT and INTERSECT operators compare the result sets of two queries to determine what subset of rows should be included in the final result set.
Using the UNION Operator
The UNION operator allows you to combine the result sets created by multiple SELECT statements into a single result set. Although the syntax for the UNION operator is straightforward (you add the word UNION or UNION ALL between each SELECT statement), you must follow some basic rules if you want the query to succeed. When specifying the UNION operator, both queries must return the same number of columns. In addition, each data type in the corresponding columns must be compatible. For example, if the first column in one SELECT
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statement has an integer data type and the first column of the second SELECT statement has a character data type, the integer field must be converted for the command to succeed. In the Northwind database, customers have an alphanumeric customer ID field and employees have a numeric ID field. If you want to retrieve these columns as a single result set, the EmployeeID field would need to be converted, as in this sample query:
SELECT CONVERT(Char(8),Employees.EmployeeID) FROM Employees UNION SELECT Customers.CustomerID FROM Customers
In addition to the rules listed previously, there are some other rules that you should be aware of. First, the column titles are taken from the first query listed. Therefore, you should define aliases in the first SELECT statement. In addition, ORDER BY clauses should be defined at the end of the last SELECT statement. The ORDER BY clause can refer to aliases defined in the first SELECT statement. Finally, if rows should be filtered, each SELECT statement should include its own WHERE clause. The ALL keyword specifies that all rows, including duplicate rows, should be returned. By default, duplicate rows are not returned. The next example also uses the Employees and Customers tables from the Northwind database to create a single result set that merges customers and employees into a single result set containing a name, company name, and phone number:
SELECT FirstName + ' ' + LastName AS 'Contact Name' , 'Northwind Traders' AS 'Company' , Employees.HomePhone AS 'Phone' FROM Employees UNION SELECT ContactName, CompanyName, Phone FROM Customers ORDER BY 'Contact Name';
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