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As I mentioned in this chapter s opening section, environmental settings (such as database context and SET options) that are set in a calling batch are in effect for a dynamic batch, but not the other way around . To demonstrate this aspect of environmental settings, the following code sets the database context of a calling batch to InsideTSQL2008; it invokes a dynamic batch, which changes the database context to an input database name (tempdb in this case); and finally, it outputs the database context of the outer batch after the dynamic batch is invoked:

USE InsideTSQL2008; DECLARE @db AS NVARCHAR(258) = QUOTENAME(N'tempdb'); EXEC(N'USE ' + @db + ';'); SELECT DB_NAME();

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Though we have completed our analysis and implementation of the RepairCo side of the case study, we are fortunate enough to have access to Amaya s web service implementation as well. This web service provides Amaya resellers with access to the latest support information about its machines. This particular web service contains one stateless session bean (CommonIssuesBean) running in a J2EE container that returns the latest data from an XML document (amaya.xml) on the file system. This scenario is depicted in figure 6.9. The client in this scenario b can be anything capable of sending a SOAP request. In this scenario, the client is our repair diagnostic application. It sends a single string parameter with the SOAP request, which represents the name of the machine for which we are requesting information. The SOAP server at

Because a change in database context in the inner batch has no effect on an outer batch, the output is InsideTSQL2008 and not tempdb . On the other hand, environmental changes in the dynamic batch are in effect for the dynamic batch itself . Therefore, the following code returns the output tempdb:

USE InsideTSQL2008; DECLARE @db AS NVARCHAR(258) = QUOTENAME(N'tempdb'); EXEC(N'USE ' + @db + N'; SELECT DB_NAME();');

Similarly, such changes are in effect for levels inner to the dynamic batch, such as a nested level of dynamic SQL:

USE InsideTSQL2008; DECLARE @db AS NVARCHAR(258) = QUOTENAME(N'tempdb'); EXEC(N'USE ' + @db + N'; EXEC(''SELECT DB_NAME();'');');

Amaya C receives SOAP requests and passes them to the appropriate component. In this case, the CommonIssuesBean is the target of our SOAP request. The CommonIssuesBean D accesses XML data regarding support information for Amaya s computers. It returns an org.w3c.dom.Document to the SOAP server, which in turn sends this information back to the requesting client. Listing 6.8 is the implementation of the CommonIssuesBean. As with our previous listing, we omit the source for the home and remote interfaces.

Now that the fundamentals of dynamic SQL, EXEC, and sp_executesql have been covered, this section will demonstrate several ways to apply dynamic SQL .

One use of dynamic SQL is to construct code dynamically for automated maintenance activities such as performing index defragmentation, backups, and the like . You need to query metadata and environmental information and use it to construct the code . Caution Be aware that metadata should be carefully checked for potential SQL injection

attempts (for example, through maliciously named objects) .

public class CommonIssuesBean implements SessionBean { ... /** * Get the list of issues from the file system * and return the XML document. */ public Document getIssuesList( String name ) throws RemoteException { try { DocumentBuilderFactory dFactory = DocumentBuilderFactory.newInstance(); DocumentBuilder dBuilder = dFactory.newDocumentBuilder(); Retrieves document Document issueDoc = dBuilder.parse from file system and ("config/mydomain/applications/amaya/" returns it + name + ".xml"); return issueDoc; |#1 } catch (Exception e) { System.out.println("Error in common issues bean: " + e.getMessage()); } return null; } }

A classic scenario for automated maintenance code that is constructed dynamically is index defragmentation . You inspect fragmentation information by querying the sys.dm_db_ index_physical_stats function . You then rebuild or reorganize indexes with a higher level of fragmentation than a certain threshold that you determine as high enough to justify defragmentation . The following code, which is adapted from SQL Server Books Online, demonstrates how to achieve this:

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