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Oddities exist in the costing particularly in the boundary areas where the memory is in the right ballpark for the switch between one level of join and the next. There are contradictions between the model used by the optimizer code and the activity carried out by the run-time engine. However, it is possible to get a rough idea of what s going on, and make some guesses about how data sizes and parameter settings make a difference. And with the aid of the 10053 and 10104 traces, it is possible to work out whether you can do some tweaking to make an important query operate more efficiently. At present, though, I don t think that this micromanagement viewpoint is terribly important. The real issue that most people have to face is the impact of migrating between versions of Oracle, and deciding which features to enable. This is where problems are likely to occur. So in this section, we will run a standardized test so that we can compare the behavior of the optimizer in four different working environments. The online code suite contains four scripts to help us compare the different behaviors. Between them, they cover four separate combinations of options:

If you are not seeing any names, seeing only a few names, or if you just added a new name but do not see it on the list, it is likely your Contact list is filtered. This means it is showing you only those names that are assigned to a particular Category. The tip-off that it s filtered is the black bar (or other color) at the top with the Category name. In the image to the right, the Category applied for the filter is Business.

CPU costing disabled, manual hash_area_size allocation CPU costing enabled, manual hash_area_size allocation CPU costing disabled, automatic hash_area_size allocation CPU costing enabled, automatic hash_area_size allocation has_nocpu_harness.sql has_cpu_harness.sql pat_nocpu_harness.sql pat_cpu_harness.sql

You can learn how to see your entire Contact list again on page 292 or learn more about Categories on page 290.

void UseData() { DataConnection connection1; DataConnection^ connection2 = gcnew DataConnection(); // Use the connection. } int main() { UseData(); // Force a garbage collection, to illustrate a point. GC::Collect(); } Here, we create two connection objects, this time using a SqlConnection. One connection is declared in the function UseData with stack semantics; the other is created with heap semantics. When the UseData function exits, the destructor gets called for connection1, but not for connection2, which becomes an orphaned object. Then, when a garbage collection occurs (in this case artificially forced by the call to GC::Collect, but in principle this could happen at some point in real-world code), an exception is generated. In this case the error reported is

Of these, the first is the traditional 8i approach, the last is where I think your strategic choice ought to be with 9i. Unfortunately, the results you get from hash join calculations vary dramatically with your choice.

Once you get the hand of adding contact information into the Contacts app, you will begin to see how useful it is to have all that information at your fingertips. The tricky part can be actually locating all the information you have input into the BlackBerry. Fortunately, your BlackBerry gives you three basic ways of finding this information, which we ll cover next.

If you are mixing automatic workarea sizing with shared servers (once known as multithreaded servers MTS), then many of the details about the pga_aggregate_target do not apply until you get to 10g. Historically, the memory for hash joins had to be in the UGA, which was kept in the SGA when you were running shared server. In 9i, this is still true, and the hash_area_size still dictates the memory allocated by shared servers, even though the allocation is then monitored by the newer workarea code. Strangely, the optimizer does not know whether a piece of SQL is coming from a shared server or a dedicated server, so the calculations are always based on the pga_aggregate_target approach even when the available memory is limited by the hash_area_size. In 10g, the shared server hash area has managed to migrate out of the UGA into the PGA, and so its size is dictated by the pga_aggregate_target. Note: in earlier versions of Oracle, you were advised to avoid using shared servers for sessions doing long-running hash or sort operations perhaps this warning is no long relevant in 10g.