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Notice that I didn t use the SplitTSQL UDF here because you can use the same technique directly against the Arrays table . This code ran for 19 seconds on my system . The CLR version ran for four seconds almost five times faster than the T-SQL version . You can find another, even faster, CLR-based implementation of the split functionality by SQL Server MVP Adam Machanic here: http://sqlblog.com/blogs/adam_machanic/archive/2009/04/26/faster-morescalable-sqlclr-string-splitting.aspx.

USE tempdb; IF OBJECT_ID('dbo.T1', 'U') IS NOT NULL DROP TABLE dbo.T1; CREATE TABLE dbo.T1 ( keycol INT NOT NULL PRIMARY KEY, datacol VARCHAR(10) NOT NULL ); GO INSERT INTO dbo.T1(keycol, datacol) VALUES (1, 'e'), (2, 'f'), (3, 'a'), (4, 'b'), (6, 'c'), (7, 'd');

Figure 7-9: The XSLT processor instantiates a reader object and returns. No transformation is performed until you "read" the internal data using the methods and the properties of the returned reader. The XSLT Record Reader The ReaderOutput class builds a virtual XML tree on top of the compiled style sheet, thus making it navigable using the standard XML reader interface. When the Transform method returns, the reader is in its initial state (and therefore it is not yet initialized for reading). Each time you pop an element from the reader, a new output record is properly expanded and returned. In this way, you have total control over the transformation process and can plan and realize a number of fancy features. For example, you could provide feedback to the user, discard nodes based on runtime conditions and user roles, or cause the process to occur asynchronously on a secondary thread. The reader interface exposes the XSLT records as XML nodes the same XML nodes you will find by visiting the output document. The following code snippet demonstrates how to set up a user-controlled transformation: // The XML source must be an XPath document or an XPath navigator XPathDocument doc = new XPathDocument(source); // No arg-list to provide in this case XmlReader reader = xslt.Transform(doc, null); 261

You can configure the number of shards through the sharding_strategy.nbr_ of_shards property. This property is defined per index, as shown in listing 9.14. By default, Hibernate Search will create one Lucence index per shard and name it index_name.index_nbr. For example, if you use an FSDirectoryProvider, the directory names for Item indexes assuming three shards will be:

Workstation This mode fine-tunes the garbage collector for client-side applications . The garbage collector assumes that other applications are running on the machine and does not hog CPU resources . The Workstation mode can have two submodes: Workstation with the concurrent collector and Workstation without the concurrent collector . I ll describe the concurrent collector feature shortly . Server This mode fine-tunes the garbage collector for server-side applications . The garbage collector assumes that no other applications (client or server) are running on the machine and it assumes that all the CPUs on the machine are available to do a garbage collection . This GC mode causes the managed heap to be split into several sections, one per CPU . When a garbage collection is initiated, the garbage collector has one thread per CPU; each thread collects its own section in parallel with the other threads . Parallel collections work well for server applications in which the worker threads tend to exhibit uniform behavior . This feature requires the application to be running on a computer with multiple CPUs so that the threads can truly be working simultaneously to attain a performance improvement .

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I should also add that Visual Studio s editor, IntelliSense support, code snippet support, templates, extensibility system, debugging system, and various other tools also contribute to making the platform compelling for developers . However, I leave this out of the main discussion because it has no impact on the behavior of the code at runtime .

Both HashSet<T> and SortedSet<T> offer various handy set-based methods. You can determine whether an IEnumerable<T> is a subset of (i.e., all its elements are also found in) a set with the IsSubsetOf, for example. The available methods are defined by the common ISet<T> interface, reproduced in Example 9-12.

You can find a full discussion of both the foreach and for statements in 4, "Language Syntax and Features."