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The first string is a filter expression that specifies row selection criteria. It s syntactically the same as a SQL WHERE clause predicate. You want only rows where the Country column equals 'Germany'. The second string specifies your sort criteria and is syntactically the same as a SQL ORDER BY clause, giving a data column name and sort sequence. You used a For Each loop to display the rows selected from the data table, passing the filter and sort strings to the Select method of the data table. This particular data table is the one named customers in the data table collection.

The NOT NULL phrase on the line declaring a column in a CREATE TABLE statement causes a column s default behavior with respect to null values to change When a column declaration includes NOT NULL, SSE rejects attempts to insert rows that have unknown values for the column Inserts succeed when they specify a known value in the legitimate range for a column s data type The following excerpt from the Ch04NoBit1Nullssql file shows the syntax for specifying the NOT NULL constraint for a column with a bit data type The same syntax applies to other data types If you look back at the preceding sample, you ll recognize the CREATE TABLE statement as the same, except for the NOT NULL phrase on the bit1 column specification.

' Display filtered and sorted data For Each row As DataRow In dtc("customers").Select(fl, srt) Console.WriteLine( _ "{0} {1}", _ row("companyname").ToString().PadRight(25), _ row("contactname")) Next

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Because of the NOT NULL constraint in the bit1 column specification, only INSERT statements with a bit1 column value of 0 or 1 succeed CREATE TABLE T ( int1 int, bit1 bit NOT NULL, varchar1 varchar(3), dec1 dec(5,2), cmp1 AS (int1 + bit1) ) The T-SQL code in Ch04NoBit1Nullssql is nearly identical to the code in Ch04InsertWithMissingValuessql from the preceding sample For example, the INSERT statements are exactly the same in both files The two differences are the inclusion of the NOT NULL constraint for the bit1 column and the exclusion of all SELECT statements except for the first one in the Ch04NoBit1Nullssql The first SELECT statement lists the column values for all rows in the table..

Figure 2-16 displays the results. Notice how double quotes are used within single quotes to designate a phrase in query 2. Query 2 also demonstrates that both a full-text predicate and a regular predicate can be used in the same query. You may be wondering why the Document column is not part of the results since that is the search term. The document is actually a binary file, such as a Microsoft Word document, that must be opened by the appropriate application.

You obtained a reference to a single data table from the data table collection (the dtc object) using the table name that you specified when creating the dataset. The overloaded Select method does an internal search on the data table, filters out rows not satisfying the selection criterion, sorts the result as prescribed, and finally returns an array of data rows. You accessed each column in the row, using the column name in the indexer. It s important to note that you could have achieved the same result much more efficiently had you simply used a different query for the Customer data:

The SELECT INTO statement that follows shows a very basic example that creates a copy of the ProductCategory table from the Production schema in the AdventureWorks database. The INTO clause designates MyCopy as the name of the new table to hold the copied values. Because a two-part name is used in the FROM clause, the statement assumes its database context is the AdventureWorks database. Use a three-part name to copy a table from another database or a four-part name to copy a table from another database on another server instance. SELECT * INTO MyCopy FROM Production.ProductCategory Immediately after running the preceding SELECT INTO statement, you have two tables, MyCopy and ProductCategory, with the values of ProductCategory. MyCopy is essentially a snapshot of ProductCategory at the time that you run the SELECT INTO statement. If you subsequently change values in ProductCategory, MyCopy still retains the original values (unless you explicitly revise MyCopy, too). Although MyCopy contains the values in ProductCategory, it does not perfectly reflect the structure of the ProductCategory table. This is particularly so with respect to indexes. The following two SELECT statements echo the values from the two tables without any formatting. The result sets appear directly below the SELECT statements. The difference in the order of the rows between the ProductCategory and MyCopy tables indicates that the two tables are not identical although the tables contain the same values.

SELECT ProductCategoryID, Name FROM Production.ProductCategory ProductCategoryID ----------------4 1 3 2 Name ----------Accessories Bikes Clothing Components

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