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You can now finish the example by creating a new package and dropping the new custom component onto the design surface with a source component, just as you did in 14. In fact, the only difference between the new package you need to create to test the component and the example presented in 14 is that instead of using the Script Component, you ll be using your new custom component. Since this is the final chapter of this book, I am fully confident that you are more than capable of putting together the package without quite so much detail as I ve given previously. Nonetheless, you should follow the steps below to get to the point where your new custom component can strut its stuff! As with all other examples in this book, you need to open up BIDS/Visual Studio and create a new SSIS project. Drop a Data Flow Task onto the Control Flow design surface and switch to the Data Flow design surface.

Figure 4-4. When a computed column using the TERTIARY_WEIGHTS function is used in the index, the intermediate step is no longer required.

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One topic that has proven to be a constant source of irritation to web site developers is the loading of images into a SQL Server database Prior to SQL Server 2005, it was possible to do it, but only if the data was in bit format, and even then using the WRITETEXT functions was very cumbersome It meant that you always had to have an external program written in C++ or VB that loaded and retrieved the image A secondary effect was that if you were retrieving an image and some information about the picture for display on a web page, it was a two-stage process: loading the information first, followed by the image Furthermore, this process was out of the control of SQL Server The alternative was to use DTS and TEXTCOPY, but this provided limited functionality.

A common requirement in dealing with larger datasets is the ability to split the data into smaller chunks to help improve performance. Performance degradation becomes apparent once tables reach larger sizes, and splitting data across files and disks is one way to help databases scale. Although previous versions of SQL Server supported various means of partitioning data either manually or via features like partitioned views doing so has always been somewhat of a headacheinducing experience. Partitioning in versions prior to SQL Server 2000 meant splitting data across multiple tables, and then writing application code that could properly navigate the partitions. Things got better with SQL Server 2000 s partitioned views feature, but it was difficult to swap data in or out of the partitions without affecting data availability.

Follow these steps to configure the Data Flow source for the package: 1. Right-click the Toolbox and select Choose Items After your hard disk chugs away for a few minutes you will see the screen shown in Figure 15-11.

SQL Server 2005 makes data partitioning much easier, thanks to the inclusion of an entirely new partitioning strategy that allows the server to automatically handle partitioning of tables and indexes based on range data. Partition ranges are defined using functions called partition functions, and ranges are assigned to one or more filegroups using partition schemes. After a function and scheme are created, tables and indexes can use them for partitioning data. In this section we ll examine how to use these new features to build better-performing databases.

Figure 15-11. The Choose Toolbox Items dialog 2. Click the SSIS Data Flow Items tab. After some further chugging you should see a screen like Figure 15-12. If you scroll down a little you should see the LizardKing Spellchecker list item. Tick the checkbox next to it and click OK. The Toolbox now has your shiny new custom component nestled between the existing stock components.

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