c# datamatrix open source Try It Out: The LIKE Operator in C#

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Try It Out: The LIKE Operator
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1. We are going to try and find Vic McGlynn via the CustomerLastName column. We know the name ends with Glynn. The code that follows will search all of the customer rows looking for anything prefixing Glynn. SELECT CustomerFirstName + ' ' + CustomerLastName FROM CustomerDetails.Customers WHERE CustomerLastName LIKE '%Glynn' 2. Execute the code; this will give the results shown in Figure 8-34.
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Figure 8-34. Using the LIKE operator 3. We can also go to extremes using the LIKE operator, for example, seeing which players have the letter n anywhere in their name. The code for this is shown here: SELECT CustomerFirstName + ' ' + CustomerLastName AS [Name] FROM CustomerDetails.Customers WHERE CustomerFirstName + ' ' + CustomerLastName LIKE '%n%' 4. When you execute this, you should get the results shown in Figure 8-35: four customers are returned, as they have an n somewhere in their name.
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Figure 8-35. Using LIKE to search for customers with n in their name 5. Why would we want to go to such lengths Would it not have been possible to use the Name alias, which is a combination of the first name and last name columns Well, unfortunately not the code we might expect to use would look something like the following:
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CHAPTER 8 WORKING WITH THE DATA
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SELECT CustomerFirstName + ' ' + CustomerLastName AS [Name] FROM CustomerDetails.Customers WHERE [Name] LIKE '%n%' 6. Execute this code. Instead of the success messages that we have become used to, an error message will be returned. We can only search on real column names, not aliases. Msg 207, Level 16, State 1, Line 3 Invalid column name 'Name'.
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Creating Data: SELECT INTO
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The topic discussed in this section is quite an advanced area to be getting into, but it s not too advanced to be covered within this book. It is possible to create a new table within a database by using the INTO keyword, like that found in INSERT INTO, within a SELECT statement, providing, of course, you have the right database permissions to create tables in the first place. First of all, it is necessary to clarify the syntax of how the SELECT INTO statement is laid out; we simply add the INTO clause after the column names, but before the FROM keyword. Although the following section of code shows just one table name, it is possible to create a new table from data from one or more tables. SELECT *|column1,column2,... INTO new_tablename FROM tablename The INTO clause is crucial to the success of the creation of the new table. The SELECT statement will fail if there is a table already in existence with the same name for the same table owner. This will be demonstrated within the example. The table generated will consist of the columns returned from the built SELECT statement, whether that is all the columns from the table mentioned within the FROM statement or a subset. The new table will also contain only the rows returned from the SELECT statement. To clarify, this command is creating a new table using the structure within the SELECT statement. There will be no keys, constraints, relationships, or in fact any other facet of SQL Server, except a new table. Hence creating tables using SELECT...INTO should only be done with thought.
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Note If you really need to do this, it is faster to create the table using CREATE TABLE and then insert the
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data into it using the INSERT INTO...SELECT statement rather than SELECT .... INTO new_tablename FROM tablename.
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Two tables can exist with the same name within a database, providing that they have different schemas. The tables in ApressFinancial all have the database owner as their owner, but it is possible for a CustomerDetails.Customers table to exist for an owner like VMcGlynn.
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