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And, in particular, we re thinking of these problems in the context of an objectoriented application that uses a domain model An application with a domain model doesn t work directly with the tabular representation of the business entities; the application has its own object-oriented model of the business entities If the database of an online auction system has ITEM and BID tables, for example, the Java application defines Item and Bid classes Then, instead of directly working with the rows and columns of an SQL result set, the business logic interacts with this object-oriented domain model and its runtime realization as a network of interconnected objects Each instance of a Bid has a reference to an auction Item, and each Item may have a collection of references to Bid instances.

Parent Region Manager RegionManager1 OrderView (instance 1) OrderDetails Region RegionManager 2 OrderView (instance 2) OrderDetails Region

The previous code examples show how to explicitly call a type s Dispose or Close method . If you decide to call either of these methods explicitly, I highly recommend that you place the call in an exception-handling finally block . This way, the cleanup code is guaranteed to execute . So it would be better to write the previous code example as follows:

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The business logic isn t executed in the database (as an SQL stored procedure); it s implemented in Java in the application tier This allows business logic to make use of sophisticated object-oriented concepts such as inheritance and polymorphism For example, we could use well-known design patterns such as Strategy, Mediator, and Composite (Gamma and others, 1995), all of which depend on polymorphic method calls Now a caveat: Not all Java applications are designed this way, nor should they be Simple applications may be much better off without a domain model Complex applications may have to reuse existing stored procedures SQL and the JDBC API are perfectly serviceable for dealing with pure tabular data, and the JDBC RowSet makes CRUD operations even easier Working with a tabular representation of persistent data is straightforward and well understood.

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Step 3 shows the continuation of the scan: reading the remaining two pages (keys 10, 20, 25, 90, 100, 110, 120) As you can see, the rows with keys 30 and 40 were completely skipped In short, an allocation order scan can return multiple occurrences of rows and skip rows resulting from splits that take place during the scan A split can take place because of an insert of a new row, an update of an index key causing the row to move, or an update of a variable-length column causing the row to expand Remember that splits only take place in indexes; heaps do not incur splits Therefore, such phenomena cannot happen in heaps An index order scan is safer in the sense that it won t read multiple occurrences of the same row or skip rows because of splits.

However, in the case of applications with nontrivial business logic, the domain model approach helps to improve code reuse and maintainability significantly In practice, both strategies are common and needed Many applications need to execute procedures that modify large sets of data, close to the data At the same time, other application modules could benefit from an object-oriented domain model that executes regular online transaction processing logic in the application tier An efficient way to bring persistent data closer to the application code is required If we consider SQL and relational databases again, we finally observe the mismatch between the two paradigms SQL operations such as projection and join always result in a tabular representation of the resulting data (This is known as.

int currentLap = lapCount++;

Or you can issue the DBCC CHECKIDENT statement with the RESEED option, as follows: DBCC CHECKIDENT('dbo.AsyncSeq', RESEED, 0);

Remember that an index order scan follows the index linked list in order If a page that the scan hasn t yet reached splits, the scan ends up reading both pages; therefore, it won t skip rows If a page that the scan already passed splits, the scan doesn t read the new one; therefore, it won t return multiple occurrences of rows The storage engine is well aware of the fact that allocation order scans are prone to such inconsistent reads because of splits, while index order scans aren t It will carry out an Index Scan Ordered: False with an allocation order scan in one of two categories of cases that I will refer to as the unsafe and safe categories The unsafe category is when the scan can actually return multiple occurrences of rows or skip rows because of splits.

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