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Transparent persistence fosters a degree of portability; without special interfaces, the persistent classes are decoupled from any particular persistence solution. Our business logic is fully reusable in any other application context. You could easily change to another transparent persistence mechanism. Because JPA follows the same basic principles, there is no difference between Hibernate persistent classes and JPA entity classes.

WITH a AS ( -- Common table expression. SELECT soh.SalesOrderID ,soh.OrderDate ,sod.UnitPrice ,sod.OrderQty ,ROW_NUMBER() OVER (PARTITION BY soh.SalesOrderID ORDER BY sod.OrderQty DESC) AS RowNo FROM Sales.SalesOrderDetail AS sod INNER JOIN Sales.SalesOrderHeader AS soh ON sod.SalesOrderID = soh.SalesOrderID WHERE soh.TerritoryID = 4 ) SELECT a.SalesOrderID ,a.OrderDate ,a.UnitPrice ,a.OrderQty FROM a WHERE a.RowNo = 1;

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By this definition of transparent persistence, certain nonautomated persistence layers are transparent (for example, the DAO pattern) because they decouple the persistence-related code with abstract programming interfaces. Only plain Java classes without dependencies are exposed to the business logic or contain the business logic. Conversely, some automated persistence layers (including EJB 2.1 entity instances and some ORM solutions) are nontransparent because they require special interfaces or intrusive programming models. We regard transparency as required. Transparent persistence should be one of the primary goals of any ORM solution. However, no automated persistence solution is completely transparent: Every automated persistence layer, including Hibernate, imposes some requirements on the persistent classes. For example, Hibernate requires that collection-valued properties be typed to an interface such as java.util.Set or java.util.List and not to an actual implementation such as java.util.HashSet (this is a good practice anyway). Or, a JPA entity class has to have a special property, called the database identifier. You now know why the persistence mechanism should have minimal impact on how you implement a domain model, and that transparent and automated persistence are required. What kind of programming model should you use What are the exact requirements and contracts to observe Do you need a special programming model at all In theory, no; in practice, however, you should adopt a disciplined, consistent programming model that is well accepted by the Java community.

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As a reaction against EJB 2.1 entity instances, many developers started talking about Plain Old Java Objects (POJOs),1 a back-to-basics approach that essentially revives JavaBeans, a component model for UI development, and reapplies it to the business layer. (Most developers now use the terms POJO and JavaBean almost synonymously.) The overhaul of the EJB specification brought us new lightweight entities, and it would be appropriate to call them persistence-capable JavaBeans. Java developers will soon use all three terms as synonyms for the same basic design approach. In this book, we use persistent class for any class implementation that is capable of persistent instances, we use POJO if some Java best practices are relevant,

A scalar user-defined function (UDF) is a function that returns a single value (not a result set). This type of function is frequently used in queries and can significantly degrade performance. The reason for this is that these functions are not expanded and optimized into the main query plan by the query optimizer, but they are rather just called from the execution plan (without any optimization based on the context into which it is inserted in the plan). This also means that the cost of whatever is done inside the function is not included in the cost estimates found in the graphical execution plan for the query. This same problem occurs for the output of the SET STATISTICS IO ON statement, which will contain no references to what is done inside the UDF. The following performance comparison is between a query using a UDF and another query using a correlated subquery. Because of the problem with the query cost, for these queries, the performance metric will be the execution time, which is returned using the SET STATISTICS TIME ON statement.

POJO is sometimes also written Plain Ordinary Java Objects. This term was coined in 2002 by Martin Fowler, Rebecca Parsons, and Josh Mackenzie.

When using query execution times as a performance metric, it is typically a good idea to execute each query a few times and use either the lowest or the last execution time as the metric.

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