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Based on these metrics and requirements, there can be two options for moving data to the Database Machine The first option involves shutting down all the activity on the current source database, performing a data dump of the source database into flat files, and then loading the dump files into the Oracle database on the Database Machine This method incurs downtime how much will depend on how fast the data can move from the source to the destination system The second option is to replicate the data, in real time or in near real-time, from the current source database to the Oracle Database and essentially run a parallel production system on the Database Machine The replication process can be performed using software tools or custom scripts Migrating using this option incurs zero to minimal downtime, and it allows you to run parallel production environments, which are quite useful for testing and for phased migrations The migration strategy can also involve combining the two approaches, with each approach working on a different set of data, based on the method that works best for each set However, both the options discussed previously have a common step the initial data migration step In the first migration option, the initial data migration would also be the final data migration In the second option involving replication, the initial load will be the method used to instantiate the destination system with the initial copy of the source database before starting the incremental migration process

DECLARE @x xml = N' <books> <book isbn = "1590599837"> <title>Pro SQL Server 2008 XML</title> </book> <book isbn = "143021001X"> <title>Pro T-SQL 2008 Programmer's Guide</title> </book> <book isbn = "1430215941"> <title>Pro Full-Text Search in SQL Server 2008</title> </book> </books> '; SELECT @x.value ( N'(/books/book[@isbn = "143021001X"]/title)[1]', N'nvarchar(100)' );

Suppose you have some wire that conducts electricity very well If you wind a length of the wire into a coil and connect it to a source of dc (Fig 13-2), the wire draws a large current It doesn t matter

The initial data migration process will consist of two main steps The first step is to extract the source database into a temporary staging area, and the second step is to load from the staging area to the Database Machine In order to accelerate the overall data migration process, the extract and the load steps can be parallelized, as long as the steps work on different data sets and excessive parallelism does not throttle down the system or network resources

Shredding is the process of converting XML documents to relational format viewing your XML data as if it were a relational table. SQL Server provides two options for shredding XML data. The first, simplest option takes advantage of the xml data type .nodes() method. This method accepts an XPath-style path expression and returns a rowset consisting of xml data type values. The example in listing 12 shows how to use the .nodes() method to shred your XML data. The results are shown in figure 7.

DECLARE @x xml = N'<inventory store-num = "1983"> <product ean = "0051500241776"> <name>Jif Creamy Peanut Butter</name> <size>28 oz</size> </product> <product ean = "0024600010030"> <name>Morton Iodized Sale</name> <size>26 oz</size> </product> <product ean = "0086600000138"> <name>Bumble Bee Chunked White Albacore in Water</name> <size>6 oz</size>

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whether the wire is a single-turn loop, or whether it s lying haphazardly on the floor, or whether it s wrapped around a stick The current amperes is equal to the applied voltage in volts divided by the wire resistance in ohms It s that simple You can make an electromagnet, as you ve already seen, by passing dc through a coil wound around an iron rod Electromagnets are known for the high current they draw from batteries or power supplies The coil of an electromagnet heats up as energy is dissipated in the resistance of the wire If the voltage of the battery or power supply increases, the wire in the coil gets hotter Ultimately, if the supply can deliver enough current, the wire will melt

</product> </inventory>'; SELECT Col.value(N'./@ean[1]', N'nvarchar(15)') AS EAN, Col.value(N'./name[1]', N'nvarchar(100)') AS Name, Col.value(N'./size[1]', 'nvarchar(100)') AS Size FROM @x.nodes(N'//product') Tab(Col);

The values returned by the .nodes() method are a functionally limited version of the xml data type. You can t access or retrieve these values directly; instead you have to use the xml data type methods, such as .query() and .value(), to access the content of the xml data type values returned by .nodes().

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As you can see, the nodes() method has to be aliased with both a table name and a column name In this case, we used the alias Tab(Col) for simplicity We used the xml data type value() method to retrieve scalar values from the Col column of the result set The xml data type nodes() method is a fairly simple way to shred your XML data, but there s a second option The OPENXML rowset provider function is backwardcompatible with SQL Server 2000 Like the nodes() method, the OPENXML rowset provider OPENXML can be used to shred any binary or character data type, or (beginning with SQL Server 2005) the xml data type OPENXML is a little more complicated than the nodes() method To use it, you first have to call the sp_xml_preparedocument stored procedure, which returns a handle to the XML document.