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It has long been established that Transact-SQL is a set-based language and not an object-oriented one. For this reason alone, you should restrict the amount of complex business logic that resides in Transact-SQL stored procedures, user-defined functions, and triggers. Even though there are scenarios where Transact-SQL performs more quickly than code in the .NET Framework, it is generally best to restrict use of Transact-SQL for queries. (For more information about this, refer to Lesson 2, Designing a Cursor Strategy and Lesson 3, Designing Efficient Cursors, in 3, Designing a Cursor and Caching Strategy. ) SQL Server 2005 introduced the ability to execute .NET Framework code on SQL Server, which we covered in the previous section. Now that you have this option, you might need to consider whether moving some of the business logic to the database server is a good idea. SQLCLR is not a magic bullet, and just because it is offered does not mean you should rewrite all your code to utilize it. If you just need to retrieve data, then it is quicker and more efficient to use Transact-SQL. However, if you need to retrieve data and perform complex operations against that data, then SQLCLR might be a better option.

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C#.NET: Scan Code 39 Barcode on Word. Code 39 Barcode Reader allows users to decode Code 39 barcode from Word document with accuracy and dependability. As you can see from following C# sample, users should transfer Word document pages to images before the barcode decoding like with PDF document.

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Virtual Adapter Virtual SCSI Adapter 1 Virtual SCSI Adapter 2 Virtual SCSI Adapter 3 11. Click the Hard Disks link.

In this lab, you will experiment with techniques used to scale out a database application. In the first exercise, you will create a partition function that is used to indicate how a partition is divided. In Exercise 2, you will create a SQLCLR user-defined function. The completed code examples, in both Visual Basic and C#, are available in the \Labs\ 08 folder on the companion CD.

SCSI ID 6 (Share SCSI Bus For Clustering) 6 (Share SCSI Bus For Clustering) 6 (Share SCSI Bus For Clustering)

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Earlier in this lesson, we discussed methods of obtaining disk I/O statistics. An excessive number of logical reads or writes (or both) can identify a plan that is causing excessive table scans. For example, the query might be carrying out a table scan instead of using an index. In this case, you need to review your indexes and create new indexes as required. Missing indexes can force table scans and slow down the query. Another approach is to use Profiler to create a trace of current activity and identify the queries with the longest durations. In general, a query execution plan that is taking a long time is likely due to an excessive number of table scans.

12. Click Add Disk, and then add each of the quorum.vhd, sqldata.vhd, and sql log.vhd disks. Attach each disk as shown in Table 8-6. 13. Verify that your configuration matches Table 8-6.

You will need to have SQL Server 2005 installed before you can complete this lab. Refer to the Introduction for setup instructions.

Table 8-6

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Exercise 1: Create a Partition Function In this exercise, you will create a partition function that is used to horizontally partition the data in the Production.Product table. The data will be partitioned by ProductNumber, which is a character-based column. The data will be placed into separate filegroups that reside on the same instance of SQL Server. 1. Open Microsoft SQL Server Management Studio. 2. Connect to the instance of SQL Server 2005 that contains the AdventureWorks database. 3. Right-click the AdventureWorks database, and select Properties. Select the Filegroups page. (Refer to Figure 8-4.)

Attachment Primary channel (0) SCSI 0 ID 0 (shared bus)

If a query returns unnecessary data, this wastes resources by causing SQL Server to perform additional I/O operations. In addition, it increases network traffic. A table scan places a shared lock on the table during the scan. If the table is large, the duration of the shared lock might prevent other users from modifying the table s data and thus hurt concurrency. If a query includes (for example) a SELECT statement but does not need to return every row that satisfies that statement, you should use a WHERE clause to limit the number of rows returned. The following example lists all rows, and every column within each row, of the Production.ProductCostHistory table:

SCSI 1 ID 0 (shared bus)

Figure 8-4 The Filegroups page as displayed in the Properties dialog box for the AdventureWorks database

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