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You concatenate the three columns Title, FirstName, and LastName into one column titled Person Name using the + operator. select Title + ' ' + FirstName + ' ' + LastName as "Person Name" You specify the WHERE clause with a pattern using the LIKE operator to list all people whose first name consists of a total six characters. As per the WHERE clause, FirstName must begin with B and end with a and have any four letters in between. You also specify the condition that the null values should not be listed from the Title column: where FirstName like 'B____a' and Title is not null
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CHAPTER 4 s WRITING DATABASE QUERIES
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Try It Out: Using the [ ] (Square Bracket) Characters
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To see how the [] characters work in pattern matching, open a New Query window in SSMSE. Enter the following query and click Execute. You should see the results shown in Figure 4-10. select Title + ' ' + FirstName + ' ' + LastName as "Person Name" from Person.Contact where FirstName like '[A-I]__' and Title is not null
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Figure 4-10. Using the LIKE operator with [ ]
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You concatenate the three columns Title, FirstName, and LastName into one column titled Person Name using the + operator: select Title + ' ' + FirstName + ' ' + LastName as "Person Name" You specify the WHERE clause with a pattern using the LIKE operator to list all people whose first name consists of a total of three characters. As per the WHERE clause, FirstName must begin with a letter that falls in the range between A and I and must end with any other two letters. You also specify the condition that null values should not be listed from the Title column: where FirstName like '[A-I]__' and Title is not null
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CHAPTER 4 s WRITING DATABASE QUERIES
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Try It Out: Using the [^] (Square Bracket and Caret) Characters
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To see how the [^] characters work in pattern matching, open a New Query window in SSMSE. Enter the following query and click Execute. You should see the results shown in Figure 4-11. select Title + ' ' + FirstName + ' ' + LastName as "Person Name" from Person.Contact where FirstName like '_[^I][a]__' and Title is not null
Figure 4-11. Using the LIKE operator with [^]
How It Works
You concatenate the three columns Title, FirstName, and LastName into one column titled Person Name using the + operator: select Title + ' ' + FirstName + ' ' + LastName as "Person Name" You specify the WHERE clause with a pattern using the LIKE operator to list all people whose first name consists of a total five characters. As per the WHERE clause, FirstName may begin with any two letters except for I, followed by a, and then any other two letters. You also specify the condition that null values should not be listed from the Title column: where FirstName like '_[^I][a]__' and Title is not null
CHAPTER 4 s WRITING DATABASE QUERIES
Aggregate Functions
SQL has several built-in functions that aggregate the values of a column. Aggregate functions are applied on sets of rows and return a single value. For example, you can use aggregate functions to calculate the average unit price of orders placed. You can find the order with the lowest price or the most expensive. MIN, MAX, SUM, AVG, and COUNT are frequently used in aggregate functions.
Try It Out: Using the MIN, MAX, SUM, and AVG Functions
Let s find the minimum, maximum, sum, and average of the unit price (UnitPrice) of each sales order (SalesOrderID) from the SalesOrderDetail table. Open a New Query window in SSMSE. Enter the following query and click Execute. You should see the results shown in Figure 4-12. select SalesOrderID,min(UnitPrice)as "Min", max(UnitPrice) as "Max",Sum(UnitPrice) as "Sum", Avg(UnitPrice)as "Avg" from Sales.SalesOrderDetail where SalesOrderID between 43659 and 43663 group by SalesOrderID
Figure 4-12. Using aggregate functions
CHAPTER 4 s WRITING DATABASE QUERIES
How It Works
You use the MIN and MAX functions to find the minimum and maximum values, the SUM function to calculate the total value, and the AVG function to calculate the average value: min(UnitPrice) as "Min", max(UnitPrice) as "Max", Sum(UnitPrice) as "Sum", Avg(UnitPrice)as "Avg" Since you want the results listed by SalesOrderID, you use the GROUP BY clause. From the result set, you see that order 1 had a minimum unit price of 5.1865, a maximum unit price of 2039.994, a total unit price of 14323.7118, and an average unit price of 1193.6426.
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