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When designing relational databases, it is important to normalize the data. There are many aspects to normalization, but one of the most basic and critical is avoiding redundant data. A given data element should exist exactly once in the data model. And that s great for relational modeling. Unfortunately, many people struggle with object design because they try to apply relational thinking to objects. But object design is not the same as relational design. Where the goal with relational design is to avoid duplication of data, the goal of object design is quite different. There s no problem with a data field being used or exposed by different objects. I realize this may be hard to accept. We ve all spent so many years being trained to think relationally that it is often hard to break away and think in terms of objects. Yet creating a good object model requires changing this mode of thought.

It is recommended that if there is something by which it makes sense to range partition your data, you should use that over hash or list partitioning Hash and list partitioning add many of the salient benefits of partitioning, but they are not as useful as range partitioning when it comes to partition elimination Using hash or list partitions within range partitions is advisable when the resulting range partitions are too large to manage or when you want to use all PDML capabilities or parallel index scanning against a single range partition..

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Indexes, like tables, may be partitioned. There are two possible methods to partition indexes: Equipartition the index with the table: This is also known as a local index. For every table partition, there will be an index partition that indexes just that table partition. All of the entries in a given index partition point to a single table partition, and all of the rows in a single table partition are represented in a single index partition. Partition the index by range or hash: This is also known as a globally partitioned index. Here the index is partitioned by range, or optionally in Oracle 10g and above by hash, and a single index partition may point to any (and all) table partitions.

The goal in object design is to ensure that a given behavior exists only once within the object model. Simple examples of behavior include the idea of a string being required, or one value being larger than another. More complex behaviors might be the calculation of a tax or discount amount. Each behavior should exist only once in the object model, though it may be used from many different objects. This is why collaboration is so critical to good object design. For example, one object the DiscountCalculator will implement the complex calculation for a discount. Many other objects may need to determine the discount, so they collaborate with DiscountCalculator to find that value. In this manner, the behavior exists exactly once in the model.

Figure 13-5. Local and global index partitions In the case of a globally partitioned index, note that the number of index partitions may be different from the number of table partitions. Since global indexes may be partitioned by range or hash only, you must use local indexes if you wish to have a list or composite partitioned index. The local index will be partitioned using the same scheme as the underlying table.

Some installations, of course, may not view the NTP multicast traffic as a sufficient enough burden upon the computational network resources in order to allocate the necessary human resources for a proper multicast network design.

Note Hash partitioning of global indexes is a new feature in Oracle 10g Release 1 and later only. You may only

This book will explore a 5-layer logical architecture and show how you can implement it using objectoriented concepts. Once you learn how to create the logical architecture, you ll discover how to configure it into various physical architectures in order to achieve optimal results for WPF, Windows Forms, ASP.NET, and service-oriented and workflow interfaces.

In my experience, most partition implementations in data warehouse systems use local indexes. In an OLTP system, global indexes are much more common, and we ll see why shortly. It has to do with the need to perform partition elimination on the index structures to maintain the same query response times after partitioning as before partitioning them.

Note Over the last couple of years, it has become more common to see local indexes used in OLTP systems, as

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