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The next important question is How do you convert the cpu_cost quoted in the plan_table before adding it to the io_cost to produce the final cost, and where does the cpu_cost come from anyway To answer the first part, we look at the formula, our recorded values, and the literal value in the execution plan for the cpu_cost: The formula gives the CPU cost as: #CPUCycles / (cpuspeed * sreadtim) CPUSPEED = 500MHz sreadtim = 5 milliseconds = 5,000 microseconds (standardizing units of time) #CPUCycles (called cpu_cost in the plan_table) = 72,914,400 Slotting the figures in place: 72,914,400 / (500 * 5,000) = 29.16576. And the optimizer rounds CPU costs up in 9.2 (but not, apparently, in 10g), giving us the CPU cost of 30 that we wanted to see.

You can set a song as a ring tone with only a couple of steps: 1. Navigate to and play the song you want to use as a ring tone, as described previously. Press the Menu key and select Set as Ring Tone.

Although the optimizer always used to round costs up, you will find that a new parameter called _optimizer_ceil_cost has appeared in 10g with a default value of true. But it seems that in this case, true means false, and false means true; and it may only apply to the CPU costs anyway.

Refer to the documentation for the .NET Framework or CLI Base Class Library for further information.

If you want to use a pre-loaded ring tone instead of a song, then follow these steps: 1. 2. 3. 4. Next, scroll down the list and click the Trackpad to listen to a selected ring tone. Select Ring Tones. Select All Ring Tones, My Ring Tones, or Preloaded Ring Tones.

Finding out exactly where the original count of 72,914,400 operations came from is much harder. If you care to run through a set of extremely tedious experiments, you could probably track it down approximately to details like these: Cost of acquiring a block = X Cost of locating a row in a block = Y Cost of acquiring the Nth (in our case the 2nd) column in a row = (N 1) * Z Cost of comparing a numeric column with a numeric constant = A And when you ve got it all worked out, the constants will probably change on the next point release anyway. However, to give you an idea of how powerful CPU costing can be and how you may find that some queries run faster for no apparent reason after upgrading to 9i I d like to present an example of CPU costing in action.

This example started life as a production issue, before being stripped back to a simple test case. The original code was running under 8i, and displaying an odd performance problem, so I re-created the data on a 9i database to see if the problem would go away and it did. I then discovered that the problem had gone away because CPU costing allowed the optimizer in 9i to do something that the 8i optimizer could not do.

You can also type a few letters to the Find: field to find a ring tone that matches the letters you type.

You ve seen many examples of rendering primitive types as strings. What about converting from a string to a primitive type System::String implements IConvertible, which means it supports conversions to a variety of types using functions such as ToBoolean, ToInt32, and so on. Also, the object wrappers for the primitive types support the ability to parse strings. There are static methods called Parse on the classes for the primitive types that take a string to be parsed as a parameter and return an object of the numeric type. Listing 5-9 provides some examples. Listing 5-9. Converting Strings to Primitive Types // convert_and_parse.cpp using namespace System; int main() { String^ str1 = "115"; String^ str2 = "1.4e-12"; // Parse the string to get the integer value. int i = Int32::Parse( str1 ); // Get the double value. double x = Double::Parse( str2 ); // Use Convert class to convert the value. int j = Convert::ToInt32( str1 ); double y = Convert::ToDouble( str2 ); // Exception handlers may be used to catch parse failures and overflows. try { int k = Int32::Parse("bad format"); } catch(FormatException^ e) { Console::WriteLine("Exception occurred! {0}", e->Message ); } }

create table t1( v1, n1, n2 ) as select to_char(mod(rownum,20)), rownum, mod(rownum,20) from all_objects where rownum <= 3000 ; -Collect statistics using dbms_stats here