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provides a reference to a .NET identity object in this case, PTIdentity. The PTIdentity object inherits from ReadOnlyBase. It exposes only read-only data, so this is a natural fit. All of these classes will be implemented in s 17 and 18. During that process, you ll see how to use the CSLA .NET framework to simplify the process of creating business objects.

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So, even though Oracle used the index in a range scan, the data is obviously not sorted. In fact, you might observe a pattern in this data. There are four sorted results here: the replaces values that were increasing in value; and between the rows with USER_ID = 34 and 81, the values were increasing in the output. Then the row with USER_ID = 19 appeared. What we are observing is Oracle returning sorted data from each of the four hash partitions, one after the other. This is just a warning that unless your query has an ORDER BY, you have no reason to anticipate the data being returned to you in any kind of sorted order whatsoever. (And no, GROUP BY doesn t have to sort either! There is no substitute for ORDER BY.)

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Does that mean that partitioning won t affect OLTP performance at all in a positive sense No, not entirely you just have to look in a different place In general, it will not positively impact the performance of your data retrieval in OLTP; rather, care has to be taken to ensure data retrieval isn t affected negatively But on data modification, partitioning may provide salient benefits in highly concurrent environments Consider the preceding a rather simple example of a single table with a single index, and add into the mix a primary key Without partitioning, there is a single table: all insertions go into this single table There is contention perhaps for the freelists on this table Additionally, the primary key index that would be on the OBJECT_ID column would be a heavy right-hand-side index, as we discussed in 11.

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It s a rare thing to be able to design a database specifically for an application. More often than not, the database already exists, and developers must deal with its existing design. At best, you might be able to add some new tables or columns. This is one reason why ORM is a key concept for object-oriented development. The object model designed earlier in the chapter matches the business requirements without giving any consideration to the database design. An important step in the development process is to create code that translates the data from the databases into the objects, and vice versa. That code will be included in s 17 and 18 as the business objects are implemented. In this chapter, let s create a database for use by the project-tracking application. One thing to note is that even though the database is created specifically for this application, the data model will not match the object model exactly. A good relational model and a good object model are almost never the same thing.

Presumably it would be populated by a sequence; hence, all inserts would go after the rightmost block leading to buffer busy waits Also, there would be a single index structure T_IDX that people would be contending for So far, a lot of single items Enter partitioning You hash partition the table by OBJECT_ID into 16 partitions There are now 16 tables to contend for, and each table has one-sixteenth the number of users hitting it simultaneously You locally partition the primary key index on OBJECT_ID into 16 partitions You now have 16 right-hand sides, and each index structure will receive one-sixteenth the workload it had before And so on That is, you can use partitioning in a highly concurrent environment to reduce contention, much like we used a reverse key index in 11 to reduce the buffer busy waits.

However, you must be aware that the very process of partitioning out the data consumes more CPU itself than not having partitioning That is, it takes more CPU to figure out where to put the data than it would if the data had but one place to go So, as with everything, before applying partitioning to a system to increase performance, make sure you understand what that system needs If your system is currently CPU bound, but that CPU usage is not due to contention and latch waits, introducing partitioning could make the problem worse, not better!.

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