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Just to drive home the point, the goal here is not to create tables in your stored procedures at runtime. That is not the proper way to use temporary tables in Oracle. DDL is an expensive operation; you want to avoid doing that at runtime. The temporary tables for an application should be created during the application installation never at runtime. The pitfalls you will encounter if you attempt to dynamically create the global temporary tables (or just tables in general) at runtime in PL/SQL will be: You will be doing DDL at runtime. DDL is extremely expensive, it involves hundreds of recursive SQL statements. DDL involves a lot of serialization (one at a time, get in line). You will have to use dynamic SQL in your PL/SQL to use these tables. You lose all of the benefits of static, compile-time SQL. This is a huge loss. You will not be able to run two copies of your stored procedure at the same time, ever. Since both stored procedure instances would attempt to drop and create the same object , they would conflict with each other. You will end up having your tables stick around some day that is, your code will not drop them correctly. Due to an unforeseen error (a power failure is all it would take), your procedure might not complete. Your table will still be there when power is restored. You will have to manually clean up objects from time to time.

In short, there are no good reasons to create tables in PL/SQL at runtime, only reasons to not ever create tables in PL/SQL at run time. Temporary tables can have many of the attributes of a permanent table. They may have triggers, check constraints, indexes, and so on. Features of permanent tables that they do not support include the following: They cannot have referential integrity constraints. Neither can they be the target of a foreign key, nor can they have a foreign key defined on them. They cannot have NESTED TABLE type columns. In Oracle9i and earlier, they cannot have VARRAY type columns either; this restriction was lifted in Oracle 10g. They cannot be IOTs. They cannot be in a cluster of any type. They cannot be partitioned. They cannot have statistics generated via the ANALYZE table command.

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In this chapter, I ve focused on the theory behind distributed systems specifically, those based on mobile objects. The key to success in designing a distributed system is to keep clear the distinction between a logical architecture and a physical architecture. Logical architectures exist to define the separation between the different types of code in an application. The goal of a good logical architecture is to make code more maintainable, understandable, and reusable. A logical architecture must also define enough layers to enable any physical architectures that may be required. Physical architectures define the machines on which the application will run. An application with several logical layers can still run on a single machine. You also might configure that same logical architecture to run on various client and server machines. The goal of a good physical architecture is to achieve the best trade-off between performance, scalability, security, and fault tolerance within your specific environment. The trade-offs in a physical architecture for a smart client application are very different from those for a web application. A Windows application will typically trade performance against scalability, and a web application will typically trade performance against security. In this book, I ll be using a 5-layer logical architecture consisting of the Interface, Interface Control, Business, Data Access, and Data Storage and Management layers. Later in the book, I ll show you how to use this architecture to create Windows, web, and service-oriented applications, each with a different physical architecture. The next chapter will start the process of designing the framework that will make this possible.

One of the drawbacks of a temporary table in any database is the fact that the optimizer has no real statistics on it normally. When using the cost-based optimizer (CBO), valid statistics are vital to the optimizer s success (or failure). In the absence of statistics, the optimizer will make guesses as to the distribution of data, the amount of data, and the selectivity of an index. When these guesses are wrong, the query plans generated for queries that make heavy use of temporary tables could be less than optimal. In many cases, the correct solution is to not use a temporary table at all, but rather to use an INLINE VIEW (for an example of an INLINE VIEW, refer to the last SELECT just run it has two of them) in its place. In this fashion, Oracle will have access to all of the relevant statistics for a table and can come up with an optimal plan.

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