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from Item i, User u where i.seller.id = u.id and u.username = 'steve' from Item i, Bid b where i.seller.id = b.bidder.id

SELECT p.ProductID AS Id ,p.ListPrice ,p.Color FROM Production.Product AS p WHERE p.ProductID IN (514, 707) FOR XML RAW('Product'), ROOT('Products'), ELEMENTS;

However, you may now use the identifier value as a query parameter:

Members of the domain administrators global group. Members of this group represent users who will be able to manage the domain during the process of implementing your design. Include contact details for each member.

Here is the result:

Long userId = ... Query q = session.createQuery( "from Comment c where c.fromUser.id = :userId" ); q.setLong("userId", userId); List result = q.list();

On a Windows 2003 network, different levels of functionality are attainable within a domain or a forest depending on whether all domain controllers in that domain or forest are running Windows Server 2003. The level at which the domain or forest are running is called the functional level.

<Products> <Product> <Id>514</Id> <ListPrice>133.3400</ListPrice> </Product> <Product> <Id>707</Id> <ListPrice>34.9900</ListPrice> <Color>Red</Color> </Product> </Products>

Considering identifier attributes, there is a world of difference between the following queries:

Domain functionality affects features that will be available within a domain. There are four levels of domain functionality available:

from Bid b where b.item.id = 1 from Bid b where b.item.description like '%Foo%'

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Finally, you add the XSINIL directive to the ELEMENTS directive to tell SQL Server to handle NULLs by keeping the XML element for the missing value and setting its NIL attribute to True. In this case, you can see that Color is actually NULL (or NIL) and not just missing :

Windows 2000 Mixed This is the default functional level. It assumes that domain controllers in the domain may be running Windows NT 4.0, Windows 2000, or Windows 2003. It also offers the least functional feature set. Windows 2000 Native This functional level assumes that domain controllers may be running Windows 2000 or Windows 2003 within the domain. Aside from the Windows Server 2003 functional level, this level offers the most functionality. Windows Server 2003 Interim This functional level assumes that domain controllers will be running both Windows 2003 and Windows NT 4.0. As its name indicates, this level is intended for use during the process of upgrading a network from Windows NT 4.0 to Windows 2003 Server. Windows Server 2003 This is the highest functional level for a domain. It assumes all domain controllers in the domain are running Windows Server 2003 and offers the highest feature set.

The second query uses an implicit table join; the first has no joins at all! This completes our discussion of queries that involve joins. You learned how to write a simple implicit inner join with dot notation and how to write an explicit inner or outer join with aliases in the FROM clause. We also looked at dynamic fetching strategies with outer and inner join SQL operations. Our next topic is advanced queries that we consider to be mostly useful for reporting.

SELECT p.ProductID AS Id ,p.ListPrice ,p.Color FROM Production.Product AS p WHERE p.ProductID IN (514, 707) FOR XML RAW('Product'), ROOT('Products'), ELEMENTS XSINIL;

Reporting queries take advantage of the database s ability to perform efficient grouping and aggregation of data. They re more relational in nature; they don t always return entities. For example, instead of retrieving Item entities that are in persistent state (and automatically dirty checked), a report query may only retrieve the Item names and initial auction prices. If this is the only information you need (maybe even aggregated, the highest initial price in a category, and so on.) for a report screen, you don t need transactional entity instances and can save the overhead of automatic dirty checking and caching in the persistence context. HQL and JPA QL allow you to use several features of SQL that are most commonly used for reporting although they re also used for other things. In reporting queries, you use the SELECT clause for projection and the GROUP BY and HAVING clauses for aggregation. Because we ve already discussed the basic SELECT clause, we ll go straight to aggregation and grouping. Projection with aggregation functions The aggregate functions that are recognized by HQL and standardized in JPA QL are count(), min(), max(), sum() and avg(). This query counts all the Items:

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