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To demonstrate this, let s do another parallel direct path load into these existing tables, using the same inputs: ops$tkyte@ORA11GR2> alter session enable parallel dml; Session altered. ops$tkyte@ORA11GR2> insert /*+ append */ into UNIFORM_TEST 2 select * from big_table_et; 10000000 rows created. ops$tkyte@ORA11GR2> insert /*+ append */ into AUTOALLOCATE_TEST 2 select * from big_table_et; 10000000 rows created. ops$tkyte@ORA11GR2> commit; Commit complete. If we compare the space utilization of the two tables after that operation as follows ops$tkyte%ORA11GR2> exec show_space( 'UNIFORM_TEST' ); Unformatted Blocks ..................... 121,555 FS1 Blocks (0-25) ..................... 0 FS2 Blocks (25-50) ..................... 0 FS3 Blocks (50-75) ..................... 0 FS4 Blocks (75-100)..................... 483 Full Blocks ..................... 298,664 Total Blocks............................ 422,400 Total Bytes............................. 3,460,300,800 Total MBytes............................ 3,300 Unused Blocks........................... 0 Unused Bytes............................ 0 Last Used Ext FileId.................... 17 Last Used Ext BlockId................... 409,728 Last Used Block......................... 12,800 PL/SQL procedure successfully completed. ops$tkyte%ORA11GR2> exec show_space( 'AUTOALLOCATE_TEST' ); Unformatted Blocks ..................... 0 FS1 Blocks (0-25) ..................... 0 FS2 Blocks (25-50) ..................... 0 FS3 Blocks (50-75) ..................... 0 FS4 Blocks (75-100)..................... 72 Full Blocks ..................... 298,664 Total Blocks............................ 301,552 Total Bytes............................. 2,470,313,984 Total MBytes............................ 2,355 Unused Blocks........................... 0 Unused Bytes............................ 0 Last Used Ext FileId.................... 18 Last Used Ext BlockId................... 304,000 Last Used Block......................... 688 PL/SQL procedure successfully completed.

we can see that as we load more and more data into the table UNIFORM_TEST using parallel direct path operations, the space utilization gets worse over time. We would want to use a significantly smaller uniform extent size or use the AUTOALLOCATE clause. The AUTOALLOCATE clause may well generate more extents over time, but the space utilization is superior due to the extent trimming that takes place.

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hapters 6 through 16 cover the implementation of the CSLA .NET framework as described in 2. It is useful to get a good idea of the types of business objects the framework is designed to support before looking at the implementation itself. In this chapter and in 5, I discuss the primary types of objects supported by the framework and walk through the basic code structure of each object type. In object-oriented design terms, objects that share a broad set of behavioral characteristics and play a similar role in the application architecture are said to belong to a stereotype. A stereotype is a way of categorizing or describing a broad set of similar objects. This chapter covers in detail the object stereotypes directly supported by CSLA .NET. You may extend or enhance CSLA .NET to support other stereotypes as required by your application, but the stereotypes supported out of the box do cover the needs of most business applications. This chapter covers the life cycle of each type of business object in general terms. Then in 5, I get into code, creating a basic template showing the structure of each stereotype: Editable root Editable child Editable, switchable (in other words, root or child) object Editable root collection Editable child collection Read-only root Read-only root collection Read-only child Read-only child collection Command object Name/value list Dynamic editable list Dynamic editable root Criteria Though the templates are not complete business object implementations, each one illustrates the basic structure you need to follow when creating that type of business object. You can use this information to create class templates or code snippets for use in Visual Studio to make your development experience more productive.

Another form of parallel execution in Oracle is the ability to perform parallel recovery. Parallel recovery may be performed at the instance level, perhaps by increasing the speed of a recovery that needs to be performed after a software, operating system, or general system failure. Parallel recovery may also be applied during media recovery (e.g., restoration from backups). It is not my goal to cover recoveryrelated topics in this book, so I ll just mention the existence of parallel recovery in passing. I recommend the following Oracle manuals for further reading on the topic: Oracle Backup and Recovery Basics for information regarding parallel media recovery Oracle Performance Tuning Guide for information regarding parallel instance recovery

I would like to discuss two types of procedural parallelism: Parallel pipelined functions, which is a feature of Oracle. Do-it-yourself (DIY) parallelism, which is the application to your own applications of the same techniques that Oracle applies to parallel full table scans. DIY parallelism is more of a development technique than anything built into Oracle directly in Oracle Database 11g Release 1 and before and a native database feature in Oracle Database 11g Release 2 and later.

Most frameworks and application models have their own jargon and terminology, and CSLA .NET is no exception. To discuss the stereotypes supported by CSLA .NET, I think it is important to first define some common terms. These are listed in Table 4-1.

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