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incorrect! It is doubtful the table will have 0 rows in it at runtime. So, if you use this approach, be aware of two things: Make sure to populate your global temporary tables with representative data in the session that gathers the statistics. If not, they will appear empty to DBMS_STATS. If you have ON COMMIT DELETE ROWS global temporary tables, this approach should not be used, as you will definitely gather inappropriate values.

When creating object-oriented applications, the ideal situation is that any nonbusiness objects already exist. This includes UI controls, data access objects, and so forth. In that case, all developers need to do is focus on creating, debugging, and testing the business objects themselves, thereby ensuring that each one encapsulates the data and business logic needed to make the application work. As rich as the .NET Framework is, however, it doesn t provide all the nonbusiness objects needed in order to create most applications. All the basic tools are there, but there s a fair amount of work to be done before you can just sit down and write business logic. There s a set of higher-level functions and capabilities that are often needed but aren t provided by .NET right out of the box. These include the following: Validation and maintaining a list of broken business rules Standard implementation of business and validation rules Tracking whether an object s data has changed (is it dirty ) Integrated authorization rules at the object and property levels

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The second technique that works with ON COMMIT PRESERVE ROWS global temporary tables is to use GATHER_TABLE_STATS directly on the table. You would populate the global temporary table as we just did, and then execute GATHER_TABLE_STATS on that global temporary table. Note that just as before, this does not work for ON COMMIT DELETE ROWS global temporary tables, as the same issues as just described would come into play. The last technique using DBMS_STATS uses a manual process to populate the data dictionary with representative statistics for our temporary tables. For example, if on average the number of rows in the temporary table will be 500, the average row size will be 100 bytes, and the number of blocks will be 7, we could simply use the following: ops$tkyte@ORA11GR2> create global temporary table t ( x int, y varchar2(100) ); Table created. ops$tkyte@ORA11GR2> begin 2 dbms_stats.set_table_stats( ownname 3 tabname 4 numrows 5 numblks 6 avgrlen 7 end; 8 / PL/SQL procedure successfully completed. => => => => => USER, 'T', 500, 7, 100 );

ops$tkyte@ORA11GR2> select table_name, num_rows, blocks, avg_row_len 2 from user_tables 3 where table_name = 'T'; TABLE_NAME NUM_ROWS BLOCKS AVG_ROW_LEN ------------------------------ ---------- ---------- ----------T 500 7 100 Now, the optimizer won t use its best guess it will use our best guess for this information.

energizing the blueprints of the Renaissance, the period of the Industrial Revolution, and the modern times. He was glad to observe a similar vision and US-awareness among the NTP designers and developers of today.

Temporary tables can be useful in an application where you need to temporarily store a set of rows to be processed against other tables, for either a session or a transaction. They are not meant to be used as a means to take a single larger query and break it up into smaller result sets that would be combined back together (which seems to be the most popular use of temporary tables in other databases). In fact, you will find in almost all cases that a single query broken up into smaller temporary table queries performs more slowly in Oracle than the single query would have. I ve seen this behavior time and time again, when given the opportunity to rewrite the series of INSERTs into temporary tables as SELECTs in the form of one large query, the resulting single query executes much faster than the original multi-step process.

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