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Figure 5-3. Partial results of NYSIIS Encoding AdventureWorks Contacts Using the dbo.EncodeNYSIIS UDF is relatively simple. Listing 5-7 is a simple example of using the new UDF in the WHERE clause to retrieve all AdventureWorks contacts whose last name is phonetically similar to the name Liu. The results are shown in Figure 5-4. Listing 5-7. Retrieving All Contact Phonetic Matches for Liu SELECT BusinessEntityID, LastName, FirstName, MiddleName, dbo.EncodeNYSIIS(LastName) AS NYSIIS FROM Person.Person WHERE dbo.EncodeNYSIIS(LastName) = dbo.EncodeNYSIIS(N'Liu');

Here, select the Enable box for the NetBoot set that you copied into the appropriate directory, and verify that the Default option is selected for the NetBoot set that you will be using.

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The example in Listing 5-7 is the naive method of using a UDF. The query engine must apply the UDF to every single row of the source table. In this case, the dbo.EncodeNYSIIS function is applied to the nearly 20,000 last names in the Person.Contact table, resulting in an inefficient query plan and excessive I/O. A more efficient method is to perform the NYSIIS encodings ahead of time to preencode the names. The preencoding method is demonstrated in Listing 5-8. Listing 5-8. Preencoding AdventureWorks Contact Names with NYSIIS CREATE TABLE Person.ContactNYSIIS ( BusinessEntityID int NOT NULL, NYSIIS nvarchar(6) NOT NULL, PRIMARY KEY(NYSIIS, ContactId) ); GO INSERT INTO Person.ContactNYSIIS ( BusinessEntityID, NYSIIS ) SELECT BusinessEntityID, dbo.EncodeNYSIIS(LastName) FROM Person.Person; GO Once you have preencoded the data, queries are much more efficient. The query shown in Listing 5-9 uses the table created in Listing 5-8 to return the same results as Listing 5-7 just much more efficiently, since this version doesn t need to encode every row of data for comparison in the WHERE clause at query time. Listing 5-9. Efficient NYSIIS Query Using Preencoded Data SELECT cn.BusinessEntityID, c.LastName, c.FirstName, c.MiddleName, cn.NYSIIS FROM Person.ContactNYSIIS cn INNER JOIN Person.Person c ON cn.BusinessEntityID = c.BusinessEntityID WHERE cn.NYSIIS = dbo.EncodeNYSIIS(N'Liu');

During a migration, one of your primary goals should clearly be ensuring that your users do not lose access to the resources that they use on a daily basis A number of third-party utilities can assist you with the SID migration problem by automatically searching for references to a user s old SID, and replacing it with a reference to his new SID Windows 2000 often makes these kinds of tools unnecessary, however, because of an Active.

To keep the efficiency of the dbo.EncodeNYSIIS UDF-based searches optimized, I highly recommend preencoding your search data. This is especially true in production environments where performance is critical. NYSIIS (and phonetic matching in general) is an extremely useful tool for approximate name-based searches in a variety of applications, such as customer service, business reporting, and law enforcement.

NOTE: The implication here is that you can boot to multiple NetBoot sets. This is the case, and we will explain how later in this chapter. 10. You will also choose a protocol. For most environments, you will want to leave the default set to NFS. If you do, then upon starting the NetBoot service, the NFS service will automatically start as well. If you select HTTP, then the Web service will likewise start instead.

Multistatement TVFs are similar in style to scalar UDFs, but instead of returning a single scalar value, they return their result as a table data type The declaration is very similar to that of a scalar UDF, with a few important differences: The return type following the RETURNS keyword is actually a table variable declaration, with its structure declared immediately following the table variable name The RETURNS NULL ON NULL INPUT and CALLED ON NULL INPUT function options are not valid in a multistatement TVF definition The RETURN statement in the body of the multistatement TVF has no values or variables following it Inside the body of the multistatement TVF, you can use the SQL Data Manipulation Language (DML) statements INSERT, UPDATE, MERGE, and DELETE to create and manipulate the return results in the table variable that will be returned as the result.

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