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want to retrieve, and we can pass into this the value of the Id property of our TileMeta object. This returns the binary image data as a byte array. We also get a couple of other bits of information from the PlaceFacts object the population of the place (although this has always been zero in the places I ve seen), and the name of the place from the City property of the Place object associated with the PlaceFacts (the Place struct simply contains string properties returning the city, state, and country of the place). Once we ve used this information to set the values of the parameters to our insert command, we simply execute the command: foreach (PlaceFacts facts in places) { LonLatPt coords = facts.Center; TileMeta metadata = terraService.GetTileMetaFromLonLatPt(coords, 1, Scale.Scale8m); byte[] image = terraService.GetTile(metadata.Id); nameParam.Value = facts.Place.City; longParam.Value = coords.Lon; latParam.Value = coords.Lat; popParam.Value = facts.Population; imgParam.Value = image; insertCmd.ExecuteNonQuery(); } Once we ve finished iterating through the PlaceFacts array and inserting rows into the table, we clean up the resources and send a message to the user: SqlContext.Pipe.Send("Command executed successfully."); terraService.Dispose(); } If no rows were found matching the supplied AddressID in our original database query, we ll also clean up resources and send a message to the user informing them of this fact: else { reader.Close(); SqlContext.Pipe.Send( "No addresses in the database match the specified ID."); } } } } }

Object Model Integration Services Data Flow Source Transformation Data Flow Components Transformation Custom Data Flow Components Destination Destination Source

Summary

As you ve seen in this chapter, we ve established your understanding of XML technologies that work against both SQL Server 2000 and 2005. This includes the OPENXML and FOR XML query extensions, XML BulkLoad, and also the SQLXML technologies. In the next chapter, you ll see some additional new technologies that were added to SQL Server 2005 to support XML and how some of the technologies you ve learned about in this chapter have changed.

Figure 2-2. MSDN s representation of the overall SSIS architecture As a precursor to discussing how these components interoperate, I ll highlight the important features and discuss some of the intricacies of each of them.

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onvergence is happening all around us Cell phones are integrating in PDA functionality and cameras PDAs are becoming cell phones Convergence is also happening in the world of data Customers do not want to have to deal with multiple systems to manage their unstructured, semistructured, and structured data This is why for years customers have been looking to relational databases to manage all their data, not just their relational data There are a number of reasons why a relational database is the best place to work with all your data, rather than other technologies like the file system First, relational databases have powerful storage technologies that are more granular than what the file system offers You can do piecemeal backups, you can break apart your data into filegroups and now even into partitions and you have a transacted storage mechanism underneath your data.

That completes the .NET code that we ll be writing for this example. However, before we compile it, we need to run wsdl.exe to generate the custom types that are used by the web service,

Figure 10-22. The welcome screen. Happy days!

Second, databases have powerful indexing as well as query processors so you can ask complex questions to the system about your data Finally, databases already store some of your most critical data that you probably want to query across to compare with your other nonrelational data For example, you may want to show all sales for a particular customer, where your sales data is stored relationally and your customer data is XML If you use the file system and a relational database, you have to query across those technologies, and if you want to transactionally update across the two for any data changes, you have to write a lot of code To support these new scenarios that require XML and relational data working seamlessly together, Microsoft added native XML support to SQL Server 2005.

With SQL Server 2005, you work with your nonrelational data in the same way you work with your relational data The methods might be a little bit different, but the tools and environment are the same You saw some of this in the last chapter with XPath, OPENXML, and SQLXML support in SQL Server Beyond these technologies, SQL Server 2005 natively supports storage, querying, and modification of XML data In this chapter, we will look at the following enhancements in SQL Server 2005: New XML datatype: The XML datatype brings native XML storage to SQL Server Rather than shredding your XML data into relational columns, you can now store your XML using the native XML datatype XQuery: XML Query Language (XQuery) is a forthcoming standard from the World Wide Web Consortium (W3C) that allows you to query XML data.

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