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As the hash_area_size increases, the cost of the hash drops steadily by a few units, but every now and again it experiences a sharp drop (as highlighted by the delta lines in the preceding listing) These step changes result from the optimizer allowing for a larger cluster size as the hash_area_size increases If you compare the 10104 trace with the 10053 trace, you will usually find that each step change does actually correspond (closely, but not perfectly the run-time engine doesn t follow the exact model used in the calculations) to the cluster size increasing by a single block So the old model does allow for different sized I/Os and a similar effect is visible in the numbers when you enable CPU costing, even if you stick with the manual hash_area_size.

There are many reasons to create mailing lists including: If you have your team members on mailing list, you can instantly notify them of project updates. Let s say you re about to have a baby. Put everyone in the notify list into a New Baby group. Then you can snap a picture with your BlackBerry and instantly send it from the hospital!

You can also define a default indexed property by naming the property default, which enables the index to be used directly on the instance of the object (see Listing 7-7). Whether you are accessing a default indexed property using a handle or a variable declared with stack semantics, you can use the array indirection operator directly.

Since that s the case, you might start to wonder how things change when you start to adjust the system statistics after all, the most significant effect of system statistics is to tell the optimizer the size and relative time for multiblock reads So which system statistics affect the cost of the join Unsurprisingly, if you change the CPU speed, then the cost of the join changes though, as you might expect, it won t normally change very much The cost also changes if you change the relative values of mreadtim and sreadtim Hash joins do a lot of multiblock reads and writes (albeit direct path ones), so the I/O response time should make a difference to the cost, and there are some indications that the optimizer simply uses the mreadtim as the time for each of its cluster-sized I/Os, irrespective of the actual current size of the cluster.

The value of the MBRC statistic also has an impact but apparently only some of the time I haven t been able to work this out yet, but I believe it is introducing yet another complication into the decision about number of partitions and the cluster size, and since you can only see the run-time values for this settings, not the optimizer predictions, it is very hard to work out why the costs have changed with the value of MBRC when they do change, and why they haven t when they don t So CPU costing has some relevance, and there is good sense in the stepped values we see when using automatic workarea sizes Nevertheless, the long intervals of constant cost you see with the automatic workarea sizing are still a bit of a puzzle.

You can create and use a group mailing list by following these steps: 1. Scroll to the Address Book and click the Trackpad.

The answer only becomes clear when you examine the 10104 trace, and realize that the optimizer is making memory-based decisions in a radically different way As we saw earlier on, the first values reported in the 10104 trace as follows:.

Listing 7-7. Using a Default Property // properties_indexed2.cpp using namespace System; ref class Numbers { array<String^>^ ordinals; public: Numbers() { ordinals = gcnew array<String^> { "zero", "one", "two", "three" }; } property String^ default[unsigned int] { String^ get(unsigned int index) { return ordinals[index]; } void set(unsigned int index, String^ value) { ordinals[index] = value; } } }; int main() { Numbers nums; // Access property using array indexing operators on the // instance directly. Console::WriteLine( nums[0] ); // If using a handle, you can still use array syntax. Numbers^ nums2 = gcnew Numbers(); Console::WriteLine( nums2[1] ); // You can also use the name "default" and access like a // named property. Console::WriteLine( nums.default[2] ); Console::WriteLine( nums2->default[3] ); }

TIP: Make sure each member you add to a group has a valid e-mail address; otherwise, you will not be able to send that person e-mail from your group. Scroll to the contact you want to add to that group and click it. That contact s name is now listed under the name of the group you just added.

Original memory: 581632 Memory after all overhead: 710649 Memory for slots: 688128

Continue to add contacts to that group or make new groups and fill them using the steps just described.