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public class ManageAuction { public Item getAuction(Long itemId) ... ... public void endAuction(Item item) { Session s = sf.getCurrentSession(); s.beginTransaction(); // Reattach item s.update(item); // Set winning bid // Charge seller

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A full-text index is another type of index used in SQL Server 2005. Full-text indexes differ from normal SQL Server indexes because they are stored outside the confines of the database storage engine. Full-text search facilitates fast and flexible indexing for keyword-based query of text data stored in a SQL Server database. Unlike the T-SQL LIKE predicate, which only works on character patterns, full-text queries perform a linguistic search against this data, operating on words and phrases based on rules of a particular language. The performance benefit of using full-text search can be best realized when querying against a large amount of unstructured text data. A T-SQL LIKE query against millions of rows of text data can take minutes to return; whereas, a full-text query can take only seconds or less against the same data, depending on the number of rows that are returned. Full-text indexes might be built not just on columns that contain text data, but also against formatted binary data, such as Microsoft Word documents, stored in a BLOB-type column; in these cases, it is not possible to use the LIKE predicate for keyword queries. With the growing popularity of storing and managing textual data in a database, full-text indexes have become more common. Common uses of full-text search include Web-based applications, document-management systems, and other applications that need to provide text-search capabilities over data stored in a SQL Server database.

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// Notify seller and winner ... s.getTransaction().commit(); } }

The client calls the endAuction() method and passes back the detached item instance this is the same instance returned in the first step The update() operation on the Session reattaches the detached object to the persistence context and schedules an SQL UDPATE Hibernate must assume that the client modified the object while it was detached (Otherwise, if you re certain that it hasn t been modified, a lock() would be sufficient) The persistence context is flushed automatically when the second transaction in the conversation commits, and any modifications to the once detached and now persistent object are synchronized with the database The saveOrUpdate() method is in practice more useful than upate(), save(), or lock(): In complex conversations, you don t know if the item is in detached state or if it s new and transient and must be saved.

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The full-text engine for SQL Server is what enables SQL Server 2005 to utilize full-text indexes. This engine is in turn built on Microsoft Search technology and is tightly integrated into the SQL Server 2005 Database Engine. For more information on the full-text search engine or full-text indexes, see the MSDN article SQL Server 2005 Full Text Search: Internals and Enhancements at http://msdn2.microsoft.com/en-us/library/ms345119.aspx.

The automatic state-detection provided by saveOrUpdate() becomes even more useful when you not only work with single instances, but also want to reattach or persist a network of connected objects and apply cascading options Also reread the definition of the merge() operation and when to use merging instead of reattachment: Merging the state of a detached object in chapter 9, section 932 So far, you ve solved only one of the conversation implementation problems: little code was required to implement the conversation However, the application user still expects that the unit of work is not only isolated from concurrent modifications, but also atomic You isolate concurrent conversations with optimistic locking As a rule, you shouldn t apply a pessimistic concurrency-control strategy that spans a long-running conversation this implies expensive and nonscalable locking In other words, you don t prevent two operators from seeing the same auction item.

XML index is another new index type that developers need to be aware of in SQL Server 2005. SQL Server 2005 introduced the XML data type that can be used to store structured and unstructured XML data within a column in a SQL Server database. XML documents can be very large. (SQL Server can store up to 2GB in an XML column.) XML data can be queried using new XQuery functionality in SQL Server 2005. To return results efficiently, SQL Server 2005 now supports a special type of index known as an XML index. XML indexes are broken down into two types:

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